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4eae67189be16d6825424728eb6a19692edb50d7
|
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
>
> [**Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection**](https://doi.org/10.1101/2023.09.30.560270)
>
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich
This multi-species dataset was customized for Human and Animal Voice Activity Detection (vocal segmentation) when training the multi-species WhisperSeg-large segmenter..
## Download Dataset
```python
from huggingface_hub import snapshot_download
snapshot_download('nccratliri/vad-multi-species', local_dir = "data/multi-species", repo_type="dataset" )
```
For more usage details, please refer to the GitHub repository: https://github.com/nianlonggu/WhisperSeg
## Citation
When using this dataset for your work, please cite:
```
@article {Gu2023.09.30.560270,
author = {Nianlong Gu and Kanghwi Lee and Maris Basha and Sumit Kumar Ram and Guanghao You and Richard Hahnloser},
title = {Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection},
elocation-id = {2023.09.30.560270},
year = {2023},
doi = {10.1101/2023.09.30.560270},
publisher = {Cold Spring Harbor Laboratory},
abstract = {This paper introduces WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for human and animal Voice Activity Detection (VAD). Contrary to traditional methods that detect human voice or animal vocalizations from a short audio frame and rely on careful threshold selection, WhisperSeg processes entire spectrograms of long audio and generates plain text representations of onset, offset, and type of voice activity. Processing a longer audio context with a larger network greatly improves detection accuracy from few labeled examples. We further demonstrate a positive transfer of detection performance to new animal species, making our approach viable in the data-scarce multi-species setting.Competing Interest StatementThe authors have declared no competing interest.},
URL = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270},
eprint = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270.full.pdf},
journal = {bioRxiv}
}
```
```
@article {Gu2023.09.30.560270,
author = {Nianlong Gu and Kanghwi Lee and Maris Basha and Sumit Kumar Ram and Guanghao You and Richard Hahnloser},
title = {Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection},
elocation-id = {2023.09.30.560270},
year = {2023},
doi = {10.1101/2023.09.30.560270},
publisher = {Cold Spring Harbor Laboratory},
abstract = {This paper introduces WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for human and animal Voice Activity Detection (VAD). Contrary to traditional methods that detect human voice or animal vocalizations from a short audio frame and rely on careful threshold selection, WhisperSeg processes entire spectrograms of long audio and generates plain text representations of onset, offset, and type of voice activity. Processing a longer audio context with a larger network greatly improves detection accuracy from few labeled examples. We further demonstrate a positive transfer of detection performance to new animal species, making our approach viable in the data-scarce multi-species setting.Competing Interest StatementThe authors have declared no competing interest.},
URL = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270},
eprint = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270.full.pdf},
journal = {bioRxiv}
}
```
## Contact
[email protected]
|
nccratliri/vad-multi-species
|
[
"license:apache-2.0",
"region:us"
] |
2023-09-10T15:21:14+00:00
|
{"license": "apache-2.0"}
|
2023-10-03T06:12:30+00:00
|
[] |
[] |
TAGS
#license-apache-2.0 #region-us
|
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
>
> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection
>
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich
This multi-species dataset was customized for Human and Animal Voice Activity Detection (vocal segmentation) when training the multi-species WhisperSeg-large segmenter..
## Download Dataset
For more usage details, please refer to the GitHub repository: URL
When using this dataset for your work, please cite:
## Contact
URL@URL
|
[
"# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis multi-species dataset was customized for Human and Animal Voice Activity Detection (vocal segmentation) when training the multi-species WhisperSeg-large segmenter..",
"## Download Dataset\n\n\nFor more usage details, please refer to the GitHub repository: URL\n\nWhen using this dataset for your work, please cite:",
"## Contact\nURL@URL"
] |
[
"TAGS\n#license-apache-2.0 #region-us \n",
"# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis multi-species dataset was customized for Human and Animal Voice Activity Detection (vocal segmentation) when training the multi-species WhisperSeg-large segmenter..",
"## Download Dataset\n\n\nFor more usage details, please refer to the GitHub repository: URL\n\nWhen using this dataset for your work, please cite:",
"## Contact\nURL@URL"
] |
[
14,
188,
33,
5
] |
[
"passage: TAGS\n#license-apache-2.0 #region-us \n# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis multi-species dataset was customized for Human and Animal Voice Activity Detection (vocal segmentation) when training the multi-species WhisperSeg-large segmenter..## Download Dataset\n\n\nFor more usage details, please refer to the GitHub repository: URL\n\nWhen using this dataset for your work, please cite:## Contact\nURL@URL"
] |
58ea622d6b69d6c81a411df5ecff534a15bec144
|
# Dataset of natsume (Pokémon)
This is the dataset of natsume (Pokémon), containing 500 images and their tags.
The core tags of this character are `long_hair, red_eyes, breasts, bangs, black_hair, blunt_bangs, large_breasts`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:-----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 444.94 MiB | [Download](https://huggingface.co/datasets/CyberHarem/natsume_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 281.11 MiB | [Download](https://huggingface.co/datasets/CyberHarem/natsume_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1092 | 550.79 MiB | [Download](https://huggingface.co/datasets/CyberHarem/natsume_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 406.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/natsume_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1092 | 734.01 MiB | [Download](https://huggingface.co/datasets/CyberHarem/natsume_pokemon/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/natsume_pokemon',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 13 |  |  |  |  |  | 1boy, 1girl, blush, hetero, penis, sex, solo_focus, sweat, vaginal, torn_clothes, nipples, pantyhose, spread_legs, cum_in_pussy, long_sleeves, bodysuit, breasts_out, covered_navel, mosaic_censoring, clothes_lift, open_mouth, skirt |
| 1 | 7 |  |  |  |  |  | 1girl, blush, navel, nipples, solo, looking_at_viewer, completely_nude, pussy, simple_background, smile, hime_cut, very_long_hair, white_background |
| 2 | 9 |  |  |  |  |  | 1girl, solo, bodysuit, looking_at_viewer, white_gloves, blush, upper_body, white_background, long_sleeves, purple_hair, simple_background |
| 3 | 9 |  |  |  |  |  | 1girl, black_bodysuit, looking_at_viewer, poke_ball_(basic), white_gloves, long_sleeves, pantyhose, red_skirt, solo, telekinesis, very_long_hair, covered_navel, floating, boots |
| 4 | 5 |  |  |  |  |  | 1girl, black_bodysuit, blush, looking_at_viewer, pantyhose, red_skirt, skin_tight, solo, white_gloves, covered_navel, long_sleeves, crop_top, closed_mouth, poke_ball_(basic), red_shirt |
| 5 | 5 |  |  |  |  |  | 1girl, black_bodysuit, covered_navel, long_sleeves, looking_at_viewer, pantyhose, red_skirt, simple_background, solo, white_background, white_gloves, closed_mouth, hime_cut, huge_breasts, purple_hair, cowboy_shot, cropped_jacket, thighs, very_long_hair |
| 6 | 5 |  |  |  |  |  | 1girl, bodysuit, boots, gloves, pantyhose, solo, sitting |
| 7 | 12 |  |  |  |  |  | 1girl, detached_sleeves, looking_at_viewer, red_skirt, official_alternate_costume, red_hakama, closed_mouth, eyelashes, pokemon_(creature), blush, pantyhose, pleated_skirt, hakama_skirt, smile, miko, sash, telekinesis |
| 8 | 9 |  |  |  |  |  | 1girl, blush, hetero, pokemon_(creature), 1boy, furry_with_non-furry, pokephilia, hypnosis, nipples, testicles, uncensored, coin, completely_nude, furry_male, pendulum, collarbone, erection, gloves, large_penis, navel, veiny_penis |
| 9 | 6 |  |  |  |  |  | 1girl, blush, coin, hypnosis, pendulum, 1boy, hetero, arms_up, bodysuit, clothed_female_nude_male, huge_breasts, blue_hair, breast_grab, covered_nipples, grabbing_from_behind, heart-shaped_pupils |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1boy | 1girl | blush | hetero | penis | sex | solo_focus | sweat | vaginal | torn_clothes | nipples | pantyhose | spread_legs | cum_in_pussy | long_sleeves | bodysuit | breasts_out | covered_navel | mosaic_censoring | clothes_lift | open_mouth | skirt | navel | solo | looking_at_viewer | completely_nude | pussy | simple_background | smile | hime_cut | very_long_hair | white_background | white_gloves | upper_body | purple_hair | black_bodysuit | poke_ball_(basic) | red_skirt | telekinesis | floating | boots | skin_tight | crop_top | closed_mouth | red_shirt | huge_breasts | cowboy_shot | cropped_jacket | thighs | gloves | sitting | detached_sleeves | official_alternate_costume | red_hakama | eyelashes | pokemon_(creature) | pleated_skirt | hakama_skirt | miko | sash | furry_with_non-furry | pokephilia | hypnosis | testicles | uncensored | coin | furry_male | pendulum | collarbone | erection | large_penis | veiny_penis | arms_up | clothed_female_nude_male | blue_hair | breast_grab | covered_nipples | grabbing_from_behind | heart-shaped_pupils |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------|:--------|:--------|:---------|:--------|:------|:-------------|:--------|:----------|:---------------|:----------|:------------|:--------------|:---------------|:---------------|:-----------|:--------------|:----------------|:-------------------|:---------------|:-------------|:--------|:--------|:-------|:--------------------|:------------------|:--------|:--------------------|:--------|:-----------|:-----------------|:-------------------|:---------------|:-------------|:--------------|:-----------------|:--------------------|:------------|:--------------|:-----------|:--------|:-------------|:-----------|:---------------|:------------|:---------------|:--------------|:-----------------|:---------|:---------|:----------|:-------------------|:-----------------------------|:-------------|:------------|:---------------------|:----------------|:---------------|:-------|:-------|:-----------------------|:-------------|:-----------|:------------|:-------------|:-------|:-------------|:-----------|:-------------|:-----------|:--------------|:--------------|:----------|:---------------------------|:------------|:--------------|:------------------|:-----------------------|:----------------------|
| 0 | 13 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 7 |  |  |  |  |  | | X | X | | | | | | | | X | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 9 |  |  |  |  |  | | X | X | | | | | | | | | | | | X | X | | | | | | | | X | X | | | X | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 9 |  |  |  |  |  | | X | | | | | | | | | | X | | | X | | | X | | | | | | X | X | | | | | | X | | X | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | | X | X | | | | | | | | | X | | | X | | | X | | | | | | X | X | | | | | | | | X | | | X | X | X | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 5 |  |  |  |  |  | | X | | | | | | | | | | X | | | X | | | X | | | | | | X | X | | | X | | X | X | X | X | | X | X | | X | | | | | | X | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | | X | | | | | | | | | | X | | | | X | | | | | | | | X | | | | | | | | | | | | | | | | | X | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 12 |  |  |  |  |  | | X | X | | | | | | | | | X | | | | | | | | | | | | | X | | | | X | | | | | | | | | X | X | | | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | |
| 8 | 9 |  |  |  |  |  | X | X | X | X | | | | | | | X | | | | | | | | | | | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | X | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | |
| 9 | 6 |  |  |  |  |  | X | X | X | X | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | X | | | X | | X | | | | | X | X | X | X | X | X | X |
|
CyberHarem/natsume_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T15:42:10+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T18:14:18+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of natsume (Pokémon)
============================
This is the dataset of natsume (Pokémon), containing 500 images and their tags.
The core tags of this character are 'long\_hair, red\_eyes, breasts, bangs, black\_hair, blunt\_bangs, large\_breasts', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
8ace818e20776004649a9d4d08b89554ad3b8a60
|
# Dataset Card for "MultiSpeakerDetection_VCTK"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
DynamicSuperb/MultiSpeakerDetection_VCTK
|
[
"region:us"
] |
2023-09-10T15:44:06+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "instruction", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "utterance 1", "dtype": "string"}, {"name": "utterance 2", "dtype": "string"}, {"name": "utterance 3", "dtype": "string"}, {"name": "utterance 4", "dtype": "string"}, {"name": "utterance 5", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 407678216.0, "num_examples": 2000}], "download_size": 380944308, "dataset_size": 407678216.0}}
|
2023-09-11T06:44:31+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "MultiSpeakerDetection_VCTK"
More Information needed
|
[
"# Dataset Card for \"MultiSpeakerDetection_VCTK\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"MultiSpeakerDetection_VCTK\"\n\nMore Information needed"
] |
[
6,
19
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"MultiSpeakerDetection_VCTK\"\n\nMore Information needed"
] |
b6231cc6e1896941c9abb1d9d4f378e93ad1ffa6
|
# Dataset of fukumaru_koito/福丸小糸 (THE iDOLM@STER: SHINY COLORS)
This is the dataset of fukumaru_koito/福丸小糸 (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `black_hair, twintails, purple_eyes, bangs, ribbon, fangs, hair_ornament, skin_fangs`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 795.45 MiB | [Download](https://huggingface.co/datasets/CyberHarem/fukumaru_koito_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 429.66 MiB | [Download](https://huggingface.co/datasets/CyberHarem/fukumaru_koito_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1223 | 925.92 MiB | [Download](https://huggingface.co/datasets/CyberHarem/fukumaru_koito_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 689.64 MiB | [Download](https://huggingface.co/datasets/CyberHarem/fukumaru_koito_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1223 | 1.34 GiB | [Download](https://huggingface.co/datasets/CyberHarem/fukumaru_koito_theidolmstershinycolors/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/fukumaru_koito_theidolmstershinycolors',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 9 |  |  |  |  |  | 1girl, black_ribbon, blazer, grey_jacket, hair_flower, looking_at_viewer, neck_ribbon, school_uniform, solo, upper_body, white_shirt, open_mouth, simple_background, white_background, long_sleeves |
| 1 | 18 |  |  |  |  |  | 1girl, grey_skirt, looking_at_viewer, neck_ribbon, plaid_skirt, pleated_skirt, school_uniform, solo, grey_jacket, white_shirt, black_ribbon, blazer, hair_flower, miniskirt, open_mouth, white_background, long_sleeves, simple_background, smile, blush |
| 2 | 7 |  |  |  |  |  | 1girl, long_sleeves, looking_at_viewer, plaid_skirt, solo, white_shirt, backpack, facial_mark, hairclip, miniskirt, open_mouth, animal_bag, pleated_skirt, smile, blush, hair_ribbon, heart, pink_skirt, sitting, white_background, earrings, hair_bow, sleeves_past_wrists |
| 3 | 8 |  |  |  |  |  | 1girl, looking_at_viewer, solo, upper_body, long_sleeves, open_mouth, simple_background, white_background, blush, smile, hair_ribbon, hairclip, low_twintails, medium_hair, white_shirt |
| 4 | 6 |  |  |  |  |  | 1girl, hair_ribbon, looking_at_viewer, open_mouth, sailor_collar, solo, white_shirt, long_sleeves, neckerchief, sailor_hat, see-through_sleeves, miniskirt, purple_skirt, white_background |
| 5 | 14 |  |  |  |  |  | 1girl, hair_ribbon, sailor_collar, short_sleeves, white_shirt, solo, blue_skirt, looking_at_viewer, blue_ribbon, miniskirt, open_mouth, air_bubble, blush, underwater, socks, white_background |
| 6 | 8 |  |  |  |  |  | 1girl, looking_at_viewer, solo, long_sleeves, low_twintails, belt, hair_ribbon, open_mouth, see-through_sleeves, nail_polish, purple_nails, dress, umbrella |
| 7 | 9 |  |  |  |  |  | 1girl, hair_ribbon, plaid_dress, blue_shirt, open_mouth, solo, yellow_dress, hairclip, long_sleeves, looking_at_viewer, shoulder_bag, handbag, blush, :d, outdoors, x_hair_ornament |
| 8 | 21 |  |  |  |  |  | 1girl, solo, looking_at_viewer, white_dress, angel_wings, flower_wreath, hair_flower, feathered_wings, necklace, white_background, wrist_cuffs, bare_shoulders, upper_body, open_mouth, head_wreath, simple_background |
| 9 | 19 |  |  |  |  |  | 1girl, looking_at_viewer, solo, blush, bare_shoulders, bare_arms, small_breasts, white_background, simple_background, collarbone, navel, open_mouth, hair_ribbon, side-tie_bikini_bottom, white_bikini |
| 10 | 15 |  |  |  |  |  | 1girl, navel, blush, small_breasts, nipples, sweat, completely_nude, hetero, open_mouth, pussy, solo_focus, censored, looking_at_viewer, penis, 1boy, sex, spread_legs, vaginal, on_back, female_pubic_hair |
| 11 | 6 |  |  |  |  |  | 1girl, looking_at_viewer, pink_kimono, solo, double_bun, floral_print, hair_flower, obi, upper_body, wide_sleeves, blurry, bow, open_mouth, smile |
| 12 | 6 |  |  |  |  |  | 1girl, bare_shoulders, black_pantyhose, blush, detached_collar, fake_animal_ears, looking_at_viewer, playboy_bunny, rabbit_ears, small_breasts, solo, strapless_leotard, bowtie, white_background, simple_background, wrist_cuffs, black_leotard, covered_navel, hairband, open_mouth, rabbit_tail |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_ribbon | blazer | grey_jacket | hair_flower | looking_at_viewer | neck_ribbon | school_uniform | solo | upper_body | white_shirt | open_mouth | simple_background | white_background | long_sleeves | grey_skirt | plaid_skirt | pleated_skirt | miniskirt | smile | blush | backpack | facial_mark | hairclip | animal_bag | hair_ribbon | heart | pink_skirt | sitting | earrings | hair_bow | sleeves_past_wrists | low_twintails | medium_hair | sailor_collar | neckerchief | sailor_hat | see-through_sleeves | purple_skirt | short_sleeves | blue_skirt | blue_ribbon | air_bubble | underwater | socks | belt | nail_polish | purple_nails | dress | umbrella | plaid_dress | blue_shirt | yellow_dress | shoulder_bag | handbag | :d | outdoors | x_hair_ornament | white_dress | angel_wings | flower_wreath | feathered_wings | necklace | wrist_cuffs | bare_shoulders | head_wreath | bare_arms | small_breasts | collarbone | navel | side-tie_bikini_bottom | white_bikini | nipples | sweat | completely_nude | hetero | pussy | solo_focus | censored | penis | 1boy | sex | spread_legs | vaginal | on_back | female_pubic_hair | pink_kimono | double_bun | floral_print | obi | wide_sleeves | blurry | bow | black_pantyhose | detached_collar | fake_animal_ears | playboy_bunny | rabbit_ears | strapless_leotard | bowtie | black_leotard | covered_navel | hairband | rabbit_tail |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:---------------|:---------|:--------------|:--------------|:--------------------|:--------------|:-----------------|:-------|:-------------|:--------------|:-------------|:--------------------|:-------------------|:---------------|:-------------|:--------------|:----------------|:------------|:--------|:--------|:-----------|:--------------|:-----------|:-------------|:--------------|:--------|:-------------|:----------|:-----------|:-----------|:----------------------|:----------------|:--------------|:----------------|:--------------|:-------------|:----------------------|:---------------|:----------------|:-------------|:--------------|:-------------|:-------------|:--------|:-------|:--------------|:---------------|:--------|:-----------|:--------------|:-------------|:---------------|:---------------|:----------|:-----|:-----------|:------------------|:--------------|:--------------|:----------------|:------------------|:-----------|:--------------|:-----------------|:--------------|:------------|:----------------|:-------------|:--------|:-------------------------|:---------------|:----------|:--------|:------------------|:---------|:--------|:-------------|:-----------|:--------|:-------|:------|:--------------|:----------|:----------|:--------------------|:--------------|:-------------|:---------------|:------|:---------------|:---------|:------|:------------------|:------------------|:-------------------|:----------------|:--------------|:--------------------|:---------|:----------------|:----------------|:-----------|:--------------|
| 0 | 9 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 18 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 7 |  |  |  |  |  | X | | | | | X | | | X | | X | X | | X | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 8 |  |  |  |  |  | X | | | | | X | | | X | X | X | X | X | X | X | | | | | X | X | | | X | | X | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 6 |  |  |  |  |  | X | | | | | X | | | X | | X | X | | X | X | | | | X | | | | | | | X | | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 14 |  |  |  |  |  | X | | | | | X | | | X | | X | X | | X | | | | | X | | X | | | | | X | | | | | | | | | X | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 8 |  |  |  |  |  | X | | | | | X | | | X | | | X | | | X | | | | | | | | | | | X | | | | | | | X | | | | | X | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 9 |  |  |  |  |  | X | | | | | X | | | X | | | X | | | X | | | | | | X | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 21 |  |  |  |  |  | X | | | | X | X | | | X | X | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 19 |  |  |  |  |  | X | | | | | X | | | X | | | X | X | X | | | | | | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 15 |  |  |  |  |  | X | | | | | X | | | | | | X | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | X | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | |
| 11 | 6 |  |  |  |  |  | X | | | | X | X | | | X | X | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | |
| 12 | 6 |  |  |  |  |  | X | | | | | X | | | X | | | X | X | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/fukumaru_koito_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T15:44:48+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T07:26:52+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of fukumaru\_koito/福丸小糸 (THE iDOLM@STER: SHINY COLORS)
==============================================================
This is the dataset of fukumaru\_koito/福丸小糸 (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'black\_hair, twintails, purple\_eyes, bangs, ribbon, fangs, hair\_ornament, skin\_fangs', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
9c36894a078a730ed8a2c4ea19a3291d3d4e7d48
|
# Dataset Card for "HAE-RAE-COT-1.5M"
HAE-RAE-COT-1.5M is a dataset encompassing 1,586,688 samples of questions paired with CoT (Chain of Thought) rationales.
The majority of this dataset is a translation of samples from the [CoT-Collection](https://huggingface.co/datasets/kaist-ai/CoT-Collection), with a portion of samples derived from Korean datasets through the utilization of the gpt-3.5-turbo API. The translation of the CoT-Collection was carried out using the NLLB 600M model.
To the best of our knowledge, HAE-RAE-COT-1.5M represents the largest available CoT or instruction data in the Korean language.
# Summary of included datasets.
| Dataset | Count | % | License |
|------------------------------------------------------------------------------|---------|--------|--------|
| CoT Collection | 1,545,112 | 97.38% | non-commercial use |
| [LEAP_NLI](https://github.com/onspark/LEAP_NLI_v2.0) | 11,547 | 0.0072%| unknown |
| [squad_kor_v1](https://huggingface.co/datasets/squad_kor_v1) | 9,606 | 0.0061%| cc-by-nd-4.0|
| [mwp_kor_v2](https://github.com/jkc-ai/mwp_kr_data) | 9,327 | 0.0059%| Apache License 2.0|
| [KorWikiTQ](https://github.com/LG-NLP/KorWikiTableQuestions) | 8,276 | 0.0052%| CC BY-SA 4.0 |
| [mwp_kor_v3](https://github.com/tunib-ai/KMWP) | 2,820 | 0.0018%| CC-BY-NC-SA 4.0|
| **Total** | 1,586,688 | 100.00%|
# License
HAE-RAE-COT-1.5M is only for non-commercial use and is subject to OpenAI's Terms of Use for the generated data.
# Point of Contact
For any questions contact us via the following email:)
```
[email protected]
```
# Contributors
[Baek Sang Won](http://www.linkedin.com/in/sangwon-baek-74a3241b7), [Guijin Son](https://github.com/guijinSON)
|
HAERAE-HUB/HAE-RAE-COT-1.5M
|
[
"size_categories:1M<n<10M",
"language:ko",
"license:cc-by-4.0",
"haerae",
"region:us"
] |
2023-09-10T16:40:37+00:00
|
{"language": ["ko"], "license": "cc-by-4.0", "size_categories": ["1M<n<10M"], "dataset_info": {"features": [{"name": "Task", "dtype": "string"}, {"name": "Question", "dtype": "string"}, {"name": "CoT_Rationale", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1789334780, "num_examples": 1586688}], "download_size": 1053794527, "dataset_size": 1789334780}, "tags": ["haerae"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-10-25T04:37:21+00:00
|
[] |
[
"ko"
] |
TAGS
#size_categories-1M<n<10M #language-Korean #license-cc-by-4.0 #haerae #region-us
|
Dataset Card for "HAE-RAE-COT-1.5M"
===================================
HAE-RAE-COT-1.5M is a dataset encompassing 1,586,688 samples of questions paired with CoT (Chain of Thought) rationales.
The majority of this dataset is a translation of samples from the CoT-Collection, with a portion of samples derived from Korean datasets through the utilization of the gpt-3.5-turbo API. The translation of the CoT-Collection was carried out using the NLLB 600M model.
To the best of our knowledge, HAE-RAE-COT-1.5M represents the largest available CoT or instruction data in the Korean language.
Summary of included datasets.
=============================
License
=======
HAE-RAE-COT-1.5M is only for non-commercial use and is subject to OpenAI's Terms of Use for the generated data.
Point of Contact
================
For any questions contact us via the following email:)
Contributors
============
Baek Sang Won, Guijin Son
|
[] |
[
"TAGS\n#size_categories-1M<n<10M #language-Korean #license-cc-by-4.0 #haerae #region-us \n"
] |
[
36
] |
[
"passage: TAGS\n#size_categories-1M<n<10M #language-Korean #license-cc-by-4.0 #haerae #region-us \n"
] |
2762bc816378c785744fb9203fa9a1e072c520ce
|
# Dataset Card for "music_align_lp_musiccaps_mtt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
ryanc/music_align_lp_musiccaps_mtt
|
[
"region:us"
] |
2023-09-10T16:47:57+00:00
|
{"dataset_info": {"features": [{"name": "caption", "dtype": "string"}, {"name": "audio", "dtype": "audio"}], "splits": [{"name": "train", "num_bytes": 24105496899.94, "num_examples": 25860}], "download_size": 24003791630, "dataset_size": 24105496899.94}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-11T02:06:19+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "music_align_lp_musiccaps_mtt"
More Information needed
|
[
"# Dataset Card for \"music_align_lp_musiccaps_mtt\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"music_align_lp_musiccaps_mtt\"\n\nMore Information needed"
] |
[
6,
22
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"music_align_lp_musiccaps_mtt\"\n\nMore Information needed"
] |
ac3d02574d99854b8f54135b263166b3833ba226
|
# Dataset Card for "users-movies-qualifications-28082023"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
TFMUNIR/users-movies-ratings-28082023
|
[
"region:us"
] |
2023-09-10T16:55:16+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "Pel\u00edcula", "dtype": "string"}, {"name": "A\u00f1o de la pel\u00edcula", "dtype": "int64"}, {"name": "Texto 1", "dtype": "string"}, {"name": "Texto 2", "dtype": "string"}, {"name": "Texto 3", "dtype": "string"}, {"name": "Edad", "dtype": "int64"}, {"name": "Calificaci\u00f3n", "dtype": "string"}, {"name": "Fecha", "dtype": "string"}, {"name": "Emoci\u00f3n texto 1", "dtype": "string"}, {"name": "Emoci\u00f3n texto 2", "dtype": "string"}, {"name": "Emoci\u00f3n texto 3", "dtype": "string"}, {"name": "Promedio emociones textos", "dtype": "string"}, {"name": "Suma promedio emociones textos", "dtype": "float64"}, {"name": "Emociones equilibradas", "dtype": "string"}, {"name": "Suma emociones equilibradas", "dtype": "float64"}, {"name": "Emociones pel\u00edculas", "dtype": "string"}, {"name": "Suma emociones pel\u00edculas", "dtype": "float64"}, {"name": "Score de recomendaciones", "dtype": "float64"}, {"name": "Emoci\u00f3n dominante textos", "dtype": "float64"}, {"name": "Emoci\u00f3n dominante equilibradas", "dtype": "float64"}, {"name": "Emoci\u00f3n dominante pel\u00edculas", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 199996, "num_examples": 188}], "download_size": 56295, "dataset_size": 199996}}
|
2023-09-10T16:58:15+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "users-movies-qualifications-28082023"
More Information needed
|
[
"# Dataset Card for \"users-movies-qualifications-28082023\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"users-movies-qualifications-28082023\"\n\nMore Information needed"
] |
[
6,
23
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"users-movies-qualifications-28082023\"\n\nMore Information needed"
] |
8d561b5d02886abc6c8ecbd6a45aa75e7a7d8e49
|
# Dataset of saijou_juri/西城樹里 (THE iDOLM@STER: SHINY COLORS)
This is the dataset of saijou_juri/西城樹里 (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `blonde_hair, short_hair, purple_eyes, bangs, breasts, hair_between_eyes`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:-------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 772.49 MiB | [Download](https://huggingface.co/datasets/CyberHarem/saijou_juri_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 395.56 MiB | [Download](https://huggingface.co/datasets/CyberHarem/saijou_juri_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1205 | 844.99 MiB | [Download](https://huggingface.co/datasets/CyberHarem/saijou_juri_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 655.66 MiB | [Download](https://huggingface.co/datasets/CyberHarem/saijou_juri_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1205 | 1.25 GiB | [Download](https://huggingface.co/datasets/CyberHarem/saijou_juri_theidolmstershinycolors/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/saijou_juri_theidolmstershinycolors',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 23 |  |  |  |  |  | 1girl, solo, looking_at_viewer, bikini_under_clothes, blush, collarbone, white_shirt, navel, necklace, short_sleeves, black_bikini, cleavage, medium_breasts, short_shorts, tied_shirt, midriff, button_badge, bracelet, visor_cap, blue_sky, day, front-tie_top, black_shorts, denim_shorts, outdoors |
| 1 | 8 |  |  |  |  |  | 1girl, looking_at_viewer, solo, white_shirt, simple_background, upper_body, white_background, blush, collarbone, jacket, collared_shirt, school_uniform, long_sleeves, open_mouth, smile |
| 2 | 19 |  |  |  |  |  | plaid_skirt, 1girl, pleated_skirt, solo, white_shirt, looking_at_viewer, school_uniform, brown_jacket, simple_background, white_background, blush, bracelet, hands_in_pockets, miniskirt, blazer, collared_shirt, open_jacket, open_mouth |
| 3 | 7 |  |  |  |  |  | 1girl, black_jacket, earrings, solo, looking_at_viewer, red_dress, blush, open_jacket, outdoors, floral_print, long_sleeves, blurry, cloud, print_dress, sky, smile |
| 4 | 8 |  |  |  |  |  | 1boy, 1girl, blush, hetero, navel, nipples, solo_focus, collarbone, sweat, completely_nude, looking_at_viewer, small_breasts, closed_mouth, female_pubic_hair, mosaic_censoring, pussy, spread_legs, vaginal, penis, sex, medium_breasts |
| 5 | 11 |  |  |  |  |  | 1girl, black_shirt, necklace, solo, white_shorts, looking_at_viewer, short_sleeves, smile, blush, collarbone, clothes_writing, earrings, jacket_around_waist, ear_piercing, day, one_eye_closed, outdoors, plaid, short_shorts, sky, wristwatch |
| 6 | 7 |  |  |  |  |  | 1girl, formal, solo, suit, black_necktie, simple_background, vest, white_shirt, black_gloves, collared_shirt, looking_at_viewer, white_background, hand_in_pocket, long_sleeves, black_jacket, black_pants, jacket_removed |
| 7 | 6 |  |  |  |  |  | 1girl, looking_at_viewer, sleeveless_dress, solo, white_dress, hairclip, blush, breast_pocket, outdoors, bracelet, collared_dress, grin, leaf, sunlight |
| 8 | 11 |  |  |  |  |  | detached_collar, fake_animal_ears, playboy_bunny, rabbit_ears, 1girl, blush, looking_at_viewer, solo, strapless_leotard, bowtie, wrist_cuffs, cowboy_shot, small_breasts, bare_shoulders, black_pantyhose, simple_background, black_leotard, white_background, cleavage, rabbit_tail, covered_navel, fake_tail, fishnet_pantyhose |
| 9 | 5 |  |  |  |  |  | 1girl, blush, detached_collar, looking_at_viewer, maid_headdress, puffy_short_sleeves, solo, white_apron, enmaided, hair_bow, simple_background, cleavage, collarbone, heart, maid_apron, plaid, wrist_cuffs, closed_mouth, fang, frilled_apron, frilled_dress, open_mouth, pink_background, red_bowtie, small_breasts, sweatdrop, v-shaped_eyebrows, waist_apron, white_background, white_thighhighs |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | looking_at_viewer | bikini_under_clothes | blush | collarbone | white_shirt | navel | necklace | short_sleeves | black_bikini | cleavage | medium_breasts | short_shorts | tied_shirt | midriff | button_badge | bracelet | visor_cap | blue_sky | day | front-tie_top | black_shorts | denim_shorts | outdoors | simple_background | upper_body | white_background | jacket | collared_shirt | school_uniform | long_sleeves | open_mouth | smile | plaid_skirt | pleated_skirt | brown_jacket | hands_in_pockets | miniskirt | blazer | open_jacket | black_jacket | earrings | red_dress | floral_print | blurry | cloud | print_dress | sky | 1boy | hetero | nipples | solo_focus | sweat | completely_nude | small_breasts | closed_mouth | female_pubic_hair | mosaic_censoring | pussy | spread_legs | vaginal | penis | sex | black_shirt | white_shorts | clothes_writing | jacket_around_waist | ear_piercing | one_eye_closed | plaid | wristwatch | formal | suit | black_necktie | vest | black_gloves | hand_in_pocket | black_pants | jacket_removed | sleeveless_dress | white_dress | hairclip | breast_pocket | collared_dress | grin | leaf | sunlight | detached_collar | fake_animal_ears | playboy_bunny | rabbit_ears | strapless_leotard | bowtie | wrist_cuffs | cowboy_shot | bare_shoulders | black_pantyhose | black_leotard | rabbit_tail | covered_navel | fake_tail | fishnet_pantyhose | maid_headdress | puffy_short_sleeves | white_apron | enmaided | hair_bow | heart | maid_apron | fang | frilled_apron | frilled_dress | pink_background | red_bowtie | sweatdrop | v-shaped_eyebrows | waist_apron | white_thighhighs |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:--------------------|:-----------------------|:--------|:-------------|:--------------|:--------|:-----------|:----------------|:---------------|:-----------|:-----------------|:---------------|:-------------|:----------|:---------------|:-----------|:------------|:-----------|:------|:----------------|:---------------|:---------------|:-----------|:--------------------|:-------------|:-------------------|:---------|:-----------------|:-----------------|:---------------|:-------------|:--------|:--------------|:----------------|:---------------|:-------------------|:------------|:---------|:--------------|:---------------|:-----------|:------------|:---------------|:---------|:--------|:--------------|:------|:-------|:---------|:----------|:-------------|:--------|:------------------|:----------------|:---------------|:--------------------|:-------------------|:--------|:--------------|:----------|:--------|:------|:--------------|:---------------|:------------------|:----------------------|:---------------|:-----------------|:--------|:-------------|:---------|:-------|:----------------|:-------|:---------------|:-----------------|:--------------|:-----------------|:-------------------|:--------------|:-----------|:----------------|:-----------------|:-------|:-------|:-----------|:------------------|:-------------------|:----------------|:--------------|:--------------------|:---------|:--------------|:--------------|:-----------------|:------------------|:----------------|:--------------|:----------------|:------------|:--------------------|:-----------------|:----------------------|:--------------|:-----------|:-----------|:--------|:-------------|:-------|:----------------|:----------------|:------------------|:-------------|:------------|:--------------------|:--------------|:-------------------|
| 0 | 23 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 8 |  |  |  |  |  | X | X | X | | X | X | X | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 19 |  |  |  |  |  | X | X | X | | X | | X | | | | | | | | | | | X | | | | | | | | X | | X | | X | X | | X | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 7 |  |  |  |  |  | X | X | X | | X | | | | | | | | | | | | | | | | | | | | X | | | | | | | X | | X | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 8 |  |  |  |  |  | X | | X | | X | X | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 11 |  |  |  |  |  | X | X | X | | X | X | | | X | X | | | | X | | | | | | | X | | | | X | | | | | | | | | X | | | | | | | | | X | | | | | | X | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 7 |  |  |  |  |  | X | X | X | | | | X | | | | | | | | | | | | | | | | | | | X | | X | | X | | X | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 6 |  |  |  |  |  | X | X | X | | X | | | | | | | | | | | | | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 11 |  |  |  |  |  | X | X | X | | X | | | | | | | X | | | | | | | | | | | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | |
| 9 | 5 |  |  |  |  |  | X | X | X | | X | X | | | | | | X | | | | | | | | | | | | | | X | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | X | | | | | | X | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/saijou_juri_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T17:09:19+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T07:40:50+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of saijou\_juri/西城樹里 (THE iDOLM@STER: SHINY COLORS)
===========================================================
This is the dataset of saijou\_juri/西城樹里 (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'blonde\_hair, short\_hair, purple\_eyes, bangs, breasts, hair\_between\_eyes', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
2b981a456b07c2c624057639e3663fc38f989e07
|
# Dataset of kasumi/カスミ (Pokémon)
This is the dataset of kasumi/カスミ (Pokémon), containing 500 images and their tags.
The core tags of this character are `orange_hair, short_hair, side_ponytail, breasts, bangs, green_eyes, blue_eyes`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 534.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kasumi_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 320.72 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kasumi_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1223 | 682.87 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kasumi_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 479.66 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kasumi_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1223 | 932.00 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kasumi_pokemon/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/kasumi_pokemon',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 24 |  |  |  |  |  | 1girl, crop_top, midriff, navel, solo, poke_ball_(basic), suspenders, holding_poke_ball, short_shorts, denim_shorts, sleeveless, looking_at_viewer, white_background, simple_background, open_mouth, blush, tank_top, hand_on_hip, yellow_shirt, :d, blue_shorts, cowboy_shot |
| 1 | 6 |  |  |  |  |  | 1girl, crop_top, looking_at_viewer, midriff, navel, sleeveless_shirt, smile, suspenders, yellow_shirt, blush, closed_mouth, arm_behind_head, arm_up, armpits, collarbone, cowboy_shot, eyelashes, green_shorts, pokemon_(creature), solo, tank_top |
| 2 | 7 |  |  |  |  |  | 1girl, looking_at_viewer, nipples, solo, blush, collarbone, completely_nude, day, navel, outdoors, pussy, smile, medium_breasts, closed_mouth, grass, tree, uncensored |
| 3 | 7 |  |  |  |  |  | 1girl, nipples, blush, completely_nude, eyelashes, hair_tie, navel, open_mouth, outdoors, shiny_skin, pussy, spread_legs, tongue, collarbone, grass, mosaic_censoring, 1boy, anus, day, hetero, on_back, penis, raised_eyebrows, sex, smile, solo |
| 4 | 6 |  |  |  |  |  | 1boy, 1girl, hetero, nipples, solo_focus, blush, looking_at_viewer, navel, open_mouth, smile, collarbone, completely_nude, hair_between_eyes, water, heart-shaped_pupils, large_breasts, penis, pool, pov |
| 5 | 6 |  |  |  |  |  | looking_at_viewer, navel, nipples, 1girl, blush, collarbone, hair_tie, medium_breasts, pussy, completely_nude, eyelashes, shiny_skin, simple_background, white_background, closed_mouth, solo |
| 6 | 6 |  |  |  |  |  | 1girl, blush, christmas, looking_at_viewer, naked_ribbon, red_headwear, red_ribbon, santa_hat, solo, closed_mouth, collarbone, medium_breasts, navel, nipples, indoors, large_breasts, stomach |
| 7 | 12 |  |  |  |  |  | 1girl, pokemon_(creature), pokephilia, hetero, solo_focus, 1boy, furry_with_non-furry, furry_male, large_breasts, navel, bar_censor, penis, slingshot_swimsuit, black_one-piece_swimsuit, sweat, areola_slip, cleavage, hypnosis, looking_at_viewer, simple_background, coin, fingerless_gloves, hand_on_hip, heart, huge_breasts, shiny_skin, smile, standing, white_background |
| 8 | 5 |  |  |  |  |  | 1girl, competition_swimsuit, open_jacket, white_one-piece_swimsuit, covered_navel, looking_at_viewer, :d, blush, long_sleeves, open_mouth, solo, white_jacket, blue_background, closed_mouth, hair_between_eyes, hand_on_hip, medium_breasts, off_shoulder, small_breasts, standing, toes, white_background |
| 9 | 7 |  |  |  |  |  | 1girl, covered_nipples, impossible_clothes, skin_tight, smile, solo, white_gloves, elbow_gloves, hand_on_hip, looking_at_viewer, team_rocket_uniform, thighhighs, huge_breasts, large_breasts, standing, alternate_breast_size, black_bodysuit, covered_navel, grey_background, shiny_clothes, thigh_boots, thighs |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | crop_top | midriff | navel | solo | poke_ball_(basic) | suspenders | holding_poke_ball | short_shorts | denim_shorts | sleeveless | looking_at_viewer | white_background | simple_background | open_mouth | blush | tank_top | hand_on_hip | yellow_shirt | :d | blue_shorts | cowboy_shot | sleeveless_shirt | smile | closed_mouth | arm_behind_head | arm_up | armpits | collarbone | eyelashes | green_shorts | pokemon_(creature) | nipples | completely_nude | day | outdoors | pussy | medium_breasts | grass | tree | uncensored | hair_tie | shiny_skin | spread_legs | tongue | mosaic_censoring | 1boy | anus | hetero | on_back | penis | raised_eyebrows | sex | solo_focus | hair_between_eyes | water | heart-shaped_pupils | large_breasts | pool | pov | christmas | naked_ribbon | red_headwear | red_ribbon | santa_hat | indoors | stomach | pokephilia | furry_with_non-furry | furry_male | bar_censor | slingshot_swimsuit | black_one-piece_swimsuit | sweat | areola_slip | cleavage | hypnosis | coin | fingerless_gloves | heart | huge_breasts | standing | competition_swimsuit | open_jacket | white_one-piece_swimsuit | covered_navel | long_sleeves | white_jacket | blue_background | off_shoulder | small_breasts | toes | covered_nipples | impossible_clothes | skin_tight | white_gloves | elbow_gloves | team_rocket_uniform | thighhighs | alternate_breast_size | black_bodysuit | grey_background | shiny_clothes | thigh_boots | thighs |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------|:----------|:--------|:-------|:--------------------|:-------------|:--------------------|:---------------|:---------------|:-------------|:--------------------|:-------------------|:--------------------|:-------------|:--------|:-----------|:--------------|:---------------|:-----|:--------------|:--------------|:-------------------|:--------|:---------------|:------------------|:---------|:----------|:-------------|:------------|:---------------|:---------------------|:----------|:------------------|:------|:-----------|:--------|:-----------------|:--------|:-------|:-------------|:-----------|:-------------|:--------------|:---------|:-------------------|:-------|:-------|:---------|:----------|:--------|:------------------|:------|:-------------|:--------------------|:--------|:----------------------|:----------------|:-------|:------|:------------|:---------------|:---------------|:-------------|:------------|:----------|:----------|:-------------|:-----------------------|:-------------|:-------------|:---------------------|:---------------------------|:--------|:--------------|:-----------|:-----------|:-------|:--------------------|:--------|:---------------|:-----------|:-----------------------|:--------------|:---------------------------|:----------------|:---------------|:---------------|:------------------|:---------------|:----------------|:-------|:------------------|:---------------------|:-------------|:---------------|:---------------|:----------------------|:-------------|:------------------------|:-----------------|:------------------|:----------------|:--------------|:---------|
| 0 | 24 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 6 |  |  |  |  |  | X | X | X | X | X | | X | | | | | X | | | | X | X | | X | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 7 |  |  |  |  |  | X | | | X | X | | | | | | | X | | | | X | | | | | | | | X | X | | | | X | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 7 |  |  |  |  |  | X | | | X | X | | | | | | | | | | X | X | | | | | | | | X | | | | | X | X | | | X | X | X | X | X | | X | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 6 |  |  |  |  |  | X | | | X | | | | | | | | X | | | X | X | | | | | | | | X | | | | | X | | | | X | X | | | | | | | | | | | | | X | | X | | X | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 6 |  |  |  |  |  | X | | | X | X | | | | | | | X | X | X | | X | | | | | | | | | X | | | | X | X | | | X | X | | | X | X | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 6 |  |  |  |  |  | X | | | X | X | | | | | | | X | | | | X | | | | | | | | | X | | | | X | | | | X | | | | | X | | | | | | | | | | | | | | | | | | | | X | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 12 |  |  |  |  |  | X | | | X | | | | | | | | X | X | X | | | | X | | | | | | X | | | | | | | | X | | | | | | | | | | | X | | | | X | | X | | X | | | X | | | | X | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 5 |  |  |  |  |  | X | | | | X | | | | | | | X | X | | X | X | | X | | X | | | | | X | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | |
| 9 | 7 |  |  |  |  |  | X | | | | X | | | | | | | X | | | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | X | X | | | | X | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/kasumi_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T17:15:37+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T17:11:36+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of kasumi/カスミ (Pokémon)
===============================
This is the dataset of kasumi/カスミ (Pokémon), containing 500 images and their tags.
The core tags of this character are 'orange\_hair, short\_hair, side\_ponytail, breasts, bangs, green\_eyes, blue\_eyes', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
9249a9626f293dbbe9bdc8573caf8e3f15426a03
|
# Dataset Card for "llama2-politosphere-fine-tuning-pol-unpol-oth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
OneFly7/llama2-politosphere-fine-tuning-pol-unpol-oth
|
[
"region:us"
] |
2023-09-10T17:19:18+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 153314, "num_examples": 113}, {"name": "validation", "num_bytes": 151948, "num_examples": 113}], "download_size": 59375, "dataset_size": 305262}}
|
2023-09-10T17:19:22+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "llama2-politosphere-fine-tuning-pol-unpol-oth"
More Information needed
|
[
"# Dataset Card for \"llama2-politosphere-fine-tuning-pol-unpol-oth\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"llama2-politosphere-fine-tuning-pol-unpol-oth\"\n\nMore Information needed"
] |
[
6,
28
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"llama2-politosphere-fine-tuning-pol-unpol-oth\"\n\nMore Information needed"
] |
30854da2fa0580791f672f6068672d8a9d496c63
|
# NSL-KDD
> The data set is a data set that converts the arff File provided by the [link](https://www.unb.ca/cic/datasets/nsl.html) into CSV and results.
>
> The data set is personally stored by converting data to float64.
>
> If you want to obtain additional original files, they are organized in the [Original Directory](./Original) in the repo.
## Labels
The label of the data set is as follows.
|#|Column|Non-Null|Count|Dtype|
|---|---|---|---|---|
|0|duration|151165|non-null|int64|
|1|protocol_type|151165|non-null|object|
|2|service|151165|non-null|object|
|3|flag|151165|non-null|object|
|4|src_bytes|151165|non-null|int64|
|5|dst_bytes|151165|non-null|int64|
|6|land|151165|non-null|int64|
|7|wrong_fragment|151165|non-null|int64|
|8|urgent|151165|non-null|int64|
|9|hot|151165|non-null|int64|
|10|num_failed_logins|151165|non-null|int64|
|11|logged_in|151165|non-null|int64|
|12|num_compromised|151165|non-null|int64|
|13|root_shell|151165|non-null|int64|
|14|su_attempted|151165|non-null|int64|
|15|num_root|151165|non-null|int64|
|16|num_file_creations|151165|non-null|int64|
|17|num_shells|151165|non-null|int64|
|18|num_access_files|151165|non-null|int64|
|19|num_outbound_cmds|151165|non-null|int64|
|20|is_host_login|151165|non-null|int64|
|21|is_guest_login|151165|non-null|int64|
|22|count|151165|non-null|int64|
|23|srv_count|151165|non-null|int64|
|24|serror_rate|151165|non-null|float64|
|25|srv_serror_rate|151165|non-null|float64|
|26|rerror_rate|151165|non-null|float64|
|27|srv_rerror_rate|151165|non-null|float64|
|28|same_srv_rate|151165|non-null|float64|
|29|diff_srv_rate|151165|non-null|float64|
|30|srv_diff_host_rate|151165|non-null|float64|
|31|dst_host_count|151165|non-null|int64|
|32|dst_host_srv_count|151165|non-null|int64|
|33|dst_host_same_srv_rate|151165|non-null|float64|
|34|dst_host_diff_srv_rate|151165|non-null|float64|
|35|dst_host_same_src_port_rate|151165|non-null|float64|
|36|dst_host_srv_diff_host_rate|151165|non-null|float64|
|37|dst_host_serror_rate|151165|non-null|float64|
|38|dst_host_srv_serror_rate|151165|non-null|float64|
|39|dst_host_rerror_rate|151165|non-null|float64|
|40|dst_host_srv_rerror_rate|151165|non-null|float64|
|41|class|151165|non-null|float64|
|
Mireu-Lab/NSL-KDD
|
[
"license:gpl-3.0",
"Network Security",
"region:us"
] |
2023-09-10T17:23:43+00:00
|
{"license": "gpl-3.0", "tags": ["Network Security"]}
|
2023-09-10T17:27:19+00:00
|
[] |
[] |
TAGS
#license-gpl-3.0 #Network Security #region-us
|
NSL-KDD
=======
>
> The data set is a data set that converts the arff File provided by the link into CSV and results.
>
>
> The data set is personally stored by converting data to float64.
>
>
> If you want to obtain additional original files, they are organized in the Original Directory in the repo.
>
>
>
Labels
------
The label of the data set is as follows.
|
[] |
[
"TAGS\n#license-gpl-3.0 #Network Security #region-us \n"
] |
[
18
] |
[
"passage: TAGS\n#license-gpl-3.0 #Network Security #region-us \n"
] |
4e010e06bed15be152f7ed4bbc7be183c9723190
|
# Dataset Card for "maltese-news-nli-sports"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
amitness/maltese-news-nli-sports
|
[
"region:us"
] |
2023-09-10T17:27:45+00:00
|
{"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "not_entailment", "1": "entailment"}}}}], "splits": [{"name": "train", "num_bytes": 564856, "num_examples": 409}, {"name": "validation", "num_bytes": 114307, "num_examples": 88}, {"name": "test", "num_bytes": 114877, "num_examples": 88}], "download_size": 516805, "dataset_size": 794040}}
|
2023-09-10T17:27:51+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "maltese-news-nli-sports"
More Information needed
|
[
"# Dataset Card for \"maltese-news-nli-sports\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"maltese-news-nli-sports\"\n\nMore Information needed"
] |
[
6,
19
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"maltese-news-nli-sports\"\n\nMore Information needed"
] |
4ff21f180b1cdf72b9cfa233f2696e9f3a80a81d
|
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
>
> [**Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection**](https://doi.org/10.1101/2023.09.30.560270)
>
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich
This is the Zebra finch dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.
## Download Dataset
```python
from huggingface_hub import snapshot_download
snapshot_download('nccratliri/vad-zebra-finch', local_dir = "data/zebra-finch", repo_type="dataset" )
```
For more usage details, please refer to the GitHub repository: https://github.com/nianlonggu/WhisperSeg
When using this dataset, please also cite:
```
@article {Tomka2023.09.04.555475,
author = {Tomas Tomka and Xinyu Hao and Aoxue Miao and Kanghwi Lee and Maris Basha and Stefan Reimann and Anja T Zai and Richard Hahnloser},
title = {Benchmarking nearest neighbor retrieval of zebra finch vocalizations across development},
elocation-id = {2023.09.04.555475},
year = {2023},
doi = {10.1101/2023.09.04.555475},
publisher = {Cold Spring Harbor Laboratory},
abstract = {Vocalizations are highly specialized motor gestures that regulate social interactions. The reliable detection of vocalizations from raw streams of microphone data remains an open problem even in research on widely studied animals such as the zebra finch. A promising method for finding vocal samples from potentially few labelled examples(templates) is nearest neighbor retrieval, but this method has never been extensively tested on vocal segmentation tasks. We retrieve zebra finch vocalizations as neighbors of each other in the sound spectrogram space. Based on merely 50 templates, we find excellent retrieval performance in adults (F1 score of 0.93 +/- 0.07) but not in juveniles (F1 score of 0.64 +/- 0.18), presumably due to the larger vocal variability of the latter. The performance in juveniles improves when retrieval is based on fixed-size template slices (F1 score of 0.72 +/- 0.10) instead of entire templates. Among the several distance metrics we tested such as the cosine and the Euclidean distance, we find that the Spearman distance largely outperforms all others. We release our expert-curated dataset of more than 50{\textquoteright}000 zebra finch vocal segments, which will enable training of data-hungry machine-learning approaches.Competing Interest StatementThe authors have declared no competing interest.},
URL = {https://www.biorxiv.org/content/early/2023/09/04/2023.09.04.555475},
eprint = {https://www.biorxiv.org/content/early/2023/09/04/2023.09.04.555475.full.pdf},
journal = {bioRxiv}
}
```
```
@article {Gu2023.09.30.560270,
author = {Nianlong Gu and Kanghwi Lee and Maris Basha and Sumit Kumar Ram and Guanghao You and Richard Hahnloser},
title = {Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection},
elocation-id = {2023.09.30.560270},
year = {2023},
doi = {10.1101/2023.09.30.560270},
publisher = {Cold Spring Harbor Laboratory},
abstract = {This paper introduces WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for human and animal Voice Activity Detection (VAD). Contrary to traditional methods that detect human voice or animal vocalizations from a short audio frame and rely on careful threshold selection, WhisperSeg processes entire spectrograms of long audio and generates plain text representations of onset, offset, and type of voice activity. Processing a longer audio context with a larger network greatly improves detection accuracy from few labeled examples. We further demonstrate a positive transfer of detection performance to new animal species, making our approach viable in the data-scarce multi-species setting.Competing Interest StatementThe authors have declared no competing interest.},
URL = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270},
eprint = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270.full.pdf},
journal = {bioRxiv}
}
```
## Contact
[email protected]
|
nccratliri/vad-zebra-finch
|
[
"license:apache-2.0",
"region:us"
] |
2023-09-10T17:35:32+00:00
|
{"license": "apache-2.0"}
|
2023-10-03T06:12:09+00:00
|
[] |
[] |
TAGS
#license-apache-2.0 #region-us
|
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
>
> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection
>
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich
This is the Zebra finch dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.
## Download Dataset
For more usage details, please refer to the GitHub repository: URL
When using this dataset, please also cite:
## Contact
URL@URL
|
[
"# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the Zebra finch dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.",
"## Download Dataset\n\n\nFor more usage details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please also cite:",
"## Contact\nURL@URL"
] |
[
"TAGS\n#license-apache-2.0 #region-us \n",
"# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the Zebra finch dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.",
"## Download Dataset\n\n\nFor more usage details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please also cite:",
"## Contact\nURL@URL"
] |
[
14,
175,
31,
5
] |
[
"passage: TAGS\n#license-apache-2.0 #region-us \n# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the Zebra finch dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.## Download Dataset\n\n\nFor more usage details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please also cite:## Contact\nURL@URL"
] |
9933c06fa08e06716e0b656d428f6d8fd34238bc
|
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
>
> [**Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection**](https://doi.org/10.1101/2023.09.30.560270)
>
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich
This is the Bengalese finch dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.
## Download Dataset
```python
from huggingface_hub import snapshot_download
snapshot_download('nccratliri/vad-bengalese-finch', local_dir = "data/bengalese-finch", repo_type="dataset" )
```
For more usage details, please refer to the GitHub repository: https://github.com/nianlonggu/WhisperSeg
When using this dataset, please also cite:
```
@article {10.7554/eLife.68837,
article_type = {journal},
title = {Fast and accurate annotation of acoustic signals with deep neural networks},
author = {Steinfath, Elsa and Palacios-Muñoz, Adrian and Rottschäfer, Julian R and Yuezak, Deniz and Clemens, Jan},
editor = {Calabrese, Ronald L and Egnor, SE Roian and Troyer, Todd},
volume = 10,
year = 2021,
month = {nov},
pub_date = {2021-11-01},
pages = {e68837},
citation = {eLife 2021;10:e68837},
doi = {10.7554/eLife.68837},
url = {https://doi.org/10.7554/eLife.68837},
abstract = {Acoustic signals serve communication within and across species throughout the animal kingdom. Studying the genetics, evolution, and neurobiology of acoustic communication requires annotating acoustic signals: segmenting and identifying individual acoustic elements like syllables or sound pulses. To be useful, annotations need to be accurate, robust to noise, and fast. We here introduce \textit{DeepAudioSegmenter} (\textit{DAS)}, a method that annotates acoustic signals across species based on a deep-learning derived hierarchical presentation of sound. We demonstrate the accuracy, robustness, and speed of \textit{DAS} using acoustic signals with diverse characteristics from insects, birds, and mammals. \textit{DAS} comes with a graphical user interface for annotating song, training the network, and for generating and proofreading annotations. The method can be trained to annotate signals from new species with little manual annotation and can be combined with unsupervised methods to discover novel signal types. \textit{DAS} annotates song with high throughput and low latency for experimental interventions in realtime. Overall, \textit{DAS} is a universal, versatile, and accessible tool for annotating acoustic communication signals.},
keywords = {acoustic communication, annotation, song, deep learning, bird, fly},
journal = {eLife},
issn = {2050-084X},
publisher = {eLife Sciences Publications, Ltd},
}
```
```
@article {Gu2023.09.30.560270,
author = {Nianlong Gu and Kanghwi Lee and Maris Basha and Sumit Kumar Ram and Guanghao You and Richard Hahnloser},
title = {Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection},
elocation-id = {2023.09.30.560270},
year = {2023},
doi = {10.1101/2023.09.30.560270},
publisher = {Cold Spring Harbor Laboratory},
abstract = {This paper introduces WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for human and animal Voice Activity Detection (VAD). Contrary to traditional methods that detect human voice or animal vocalizations from a short audio frame and rely on careful threshold selection, WhisperSeg processes entire spectrograms of long audio and generates plain text representations of onset, offset, and type of voice activity. Processing a longer audio context with a larger network greatly improves detection accuracy from few labeled examples. We further demonstrate a positive transfer of detection performance to new animal species, making our approach viable in the data-scarce multi-species setting.Competing Interest StatementThe authors have declared no competing interest.},
URL = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270},
eprint = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270.full.pdf},
journal = {bioRxiv}
}
```
## Contact
[email protected]
|
nccratliri/vad-bengalese-finch
|
[
"license:apache-2.0",
"region:us"
] |
2023-09-10T17:36:35+00:00
|
{"license": "apache-2.0"}
|
2023-10-03T06:11:31+00:00
|
[] |
[] |
TAGS
#license-apache-2.0 #region-us
|
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
>
> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection
>
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich
This is the Bengalese finch dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.
## Download Dataset
For more usage details, please refer to the GitHub repository: URL
When using this dataset, please also cite:
## Contact
URL@URL
|
[
"# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the Bengalese finch dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.",
"## Download Dataset\n\n\nFor more usage details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please also cite:",
"## Contact\nURL@URL"
] |
[
"TAGS\n#license-apache-2.0 #region-us \n",
"# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the Bengalese finch dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.",
"## Download Dataset\n\n\nFor more usage details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please also cite:",
"## Contact\nURL@URL"
] |
[
14,
175,
31,
5
] |
[
"passage: TAGS\n#license-apache-2.0 #region-us \n# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the Bengalese finch dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.## Download Dataset\n\n\nFor more usage details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please also cite:## Contact\nURL@URL"
] |
22b972626b3e04c3f5155e91284cb9e50e6ef1d3
|
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
>
> [**Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection**](https://doi.org/10.1101/2023.09.30.560270)
>
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich
This is the Marmoset dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.
## Download Dataset
```python
from huggingface_hub import snapshot_download
snapshot_download('nccratliri/vad-marmoset', local_dir = "data/marmoset", repo_type="dataset" )
```
For more usage details, please refer to the GitHub repository: https://github.com/nianlonggu/WhisperSeg
When using this dataset, please also cite:
```
@article {10.7554/eLife.68837,
article_type = {journal},
title = {Fast and accurate annotation of acoustic signals with deep neural networks},
author = {Steinfath, Elsa and Palacios-Muñoz, Adrian and Rottschäfer, Julian R and Yuezak, Deniz and Clemens, Jan},
editor = {Calabrese, Ronald L and Egnor, SE Roian and Troyer, Todd},
volume = 10,
year = 2021,
month = {nov},
pub_date = {2021-11-01},
pages = {e68837},
citation = {eLife 2021;10:e68837},
doi = {10.7554/eLife.68837},
url = {https://doi.org/10.7554/eLife.68837},
abstract = {Acoustic signals serve communication within and across species throughout the animal kingdom. Studying the genetics, evolution, and neurobiology of acoustic communication requires annotating acoustic signals: segmenting and identifying individual acoustic elements like syllables or sound pulses. To be useful, annotations need to be accurate, robust to noise, and fast. We here introduce \textit{DeepAudioSegmenter} (\textit{DAS)}, a method that annotates acoustic signals across species based on a deep-learning derived hierarchical presentation of sound. We demonstrate the accuracy, robustness, and speed of \textit{DAS} using acoustic signals with diverse characteristics from insects, birds, and mammals. \textit{DAS} comes with a graphical user interface for annotating song, training the network, and for generating and proofreading annotations. The method can be trained to annotate signals from new species with little manual annotation and can be combined with unsupervised methods to discover novel signal types. \textit{DAS} annotates song with high throughput and low latency for experimental interventions in realtime. Overall, \textit{DAS} is a universal, versatile, and accessible tool for annotating acoustic communication signals.},
keywords = {acoustic communication, annotation, song, deep learning, bird, fly},
journal = {eLife},
issn = {2050-084X},
publisher = {eLife Sciences Publications, Ltd},
}
```
```
@article {Gu2023.09.30.560270,
author = {Nianlong Gu and Kanghwi Lee and Maris Basha and Sumit Kumar Ram and Guanghao You and Richard Hahnloser},
title = {Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection},
elocation-id = {2023.09.30.560270},
year = {2023},
doi = {10.1101/2023.09.30.560270},
publisher = {Cold Spring Harbor Laboratory},
abstract = {This paper introduces WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for human and animal Voice Activity Detection (VAD). Contrary to traditional methods that detect human voice or animal vocalizations from a short audio frame and rely on careful threshold selection, WhisperSeg processes entire spectrograms of long audio and generates plain text representations of onset, offset, and type of voice activity. Processing a longer audio context with a larger network greatly improves detection accuracy from few labeled examples. We further demonstrate a positive transfer of detection performance to new animal species, making our approach viable in the data-scarce multi-species setting.Competing Interest StatementThe authors have declared no competing interest.},
URL = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270},
eprint = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270.full.pdf},
journal = {bioRxiv}
}
```
## Contact
[email protected]
|
nccratliri/vad-marmoset
|
[
"license:apache-2.0",
"region:us"
] |
2023-09-10T17:37:03+00:00
|
{"license": "apache-2.0"}
|
2023-10-03T06:11:10+00:00
|
[] |
[] |
TAGS
#license-apache-2.0 #region-us
|
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
>
> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection
>
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich
This is the Marmoset dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.
## Download Dataset
For more usage details, please refer to the GitHub repository: URL
When using this dataset, please also cite:
## Contact
URL@URL
|
[
"# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the Marmoset dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.",
"## Download Dataset\n\n\nFor more usage details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please also cite:",
"## Contact\nURL@URL"
] |
[
"TAGS\n#license-apache-2.0 #region-us \n",
"# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the Marmoset dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.",
"## Download Dataset\n\n\nFor more usage details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please also cite:",
"## Contact\nURL@URL"
] |
[
14,
174,
31,
5
] |
[
"passage: TAGS\n#license-apache-2.0 #region-us \n# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the Marmoset dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.## Download Dataset\n\n\nFor more usage details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please also cite:## Contact\nURL@URL"
] |
bfd6b8bc4731e5b0295ad44f2a1ed1214850cf09
|
This dataset contains the splits `clean.train.100` and `clean.dev` of the [LibriSpeech dataset](https://huggingface.co/datasets/librispeech_asr).
It is only meant to be used in Optimum Habana's CI to avoid downloading other splits.
|
regisss/librispeech_asr_for_optimum_habana_ci
|
[
"license:cc-by-4.0",
"region:us"
] |
2023-09-10T17:37:05+00:00
|
{"license": "cc-by-4.0"}
|
2023-09-10T18:40:47+00:00
|
[] |
[] |
TAGS
#license-cc-by-4.0 #region-us
|
This dataset contains the splits 'URL.100' and 'URL' of the LibriSpeech dataset.
It is only meant to be used in Optimum Habana's CI to avoid downloading other splits.
|
[] |
[
"TAGS\n#license-cc-by-4.0 #region-us \n"
] |
[
15
] |
[
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
] |
4d5884198220580cd90497ad0fa30621a1cb502e
|
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
>
> [**Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection**](https://doi.org/10.1101/2023.09.30.560270)
>
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich
This is the Mouse dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.
## Download Dataset
```python
from huggingface_hub import snapshot_download
snapshot_download('nccratliri/vad-mouse', local_dir = "data/mouse", repo_type="dataset" )
```
For more details, please refer to the GitHub repository: https://github.com/nianlonggu/WhisperSeg
When using this dataset, please cite:
```
@article {10.7554/eLife.68837,
article_type = {journal},
title = {Fast and accurate annotation of acoustic signals with deep neural networks},
author = {Steinfath, Elsa and Palacios-Muñoz, Adrian and Rottschäfer, Julian R and Yuezak, Deniz and Clemens, Jan},
editor = {Calabrese, Ronald L and Egnor, SE Roian and Troyer, Todd},
volume = 10,
year = 2021,
month = {nov},
pub_date = {2021-11-01},
pages = {e68837},
citation = {eLife 2021;10:e68837},
doi = {10.7554/eLife.68837},
url = {https://doi.org/10.7554/eLife.68837},
abstract = {Acoustic signals serve communication within and across species throughout the animal kingdom. Studying the genetics, evolution, and neurobiology of acoustic communication requires annotating acoustic signals: segmenting and identifying individual acoustic elements like syllables or sound pulses. To be useful, annotations need to be accurate, robust to noise, and fast. We here introduce \textit{DeepAudioSegmenter} (\textit{DAS)}, a method that annotates acoustic signals across species based on a deep-learning derived hierarchical presentation of sound. We demonstrate the accuracy, robustness, and speed of \textit{DAS} using acoustic signals with diverse characteristics from insects, birds, and mammals. \textit{DAS} comes with a graphical user interface for annotating song, training the network, and for generating and proofreading annotations. The method can be trained to annotate signals from new species with little manual annotation and can be combined with unsupervised methods to discover novel signal types. \textit{DAS} annotates song with high throughput and low latency for experimental interventions in realtime. Overall, \textit{DAS} is a universal, versatile, and accessible tool for annotating acoustic communication signals.},
keywords = {acoustic communication, annotation, song, deep learning, bird, fly},
journal = {eLife},
issn = {2050-084X},
publisher = {eLife Sciences Publications, Ltd},
}
```
```
@article {Gu2023.09.30.560270,
author = {Nianlong Gu and Kanghwi Lee and Maris Basha and Sumit Kumar Ram and Guanghao You and Richard Hahnloser},
title = {Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection},
elocation-id = {2023.09.30.560270},
year = {2023},
doi = {10.1101/2023.09.30.560270},
publisher = {Cold Spring Harbor Laboratory},
abstract = {This paper introduces WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for human and animal Voice Activity Detection (VAD). Contrary to traditional methods that detect human voice or animal vocalizations from a short audio frame and rely on careful threshold selection, WhisperSeg processes entire spectrograms of long audio and generates plain text representations of onset, offset, and type of voice activity. Processing a longer audio context with a larger network greatly improves detection accuracy from few labeled examples. We further demonstrate a positive transfer of detection performance to new animal species, making our approach viable in the data-scarce multi-species setting.Competing Interest StatementThe authors have declared no competing interest.},
URL = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270},
eprint = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270.full.pdf},
journal = {bioRxiv}
}
```
## Contact
[email protected]
|
nccratliri/vad-mouse
|
[
"license:apache-2.0",
"region:us"
] |
2023-09-10T17:37:44+00:00
|
{"license": "apache-2.0"}
|
2023-10-03T06:10:42+00:00
|
[] |
[] |
TAGS
#license-apache-2.0 #region-us
|
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
>
> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection
>
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich
This is the Mouse dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.
## Download Dataset
For more details, please refer to the GitHub repository: URL
When using this dataset, please cite:
## Contact
URL@URL
|
[
"# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the Mouse dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.",
"## Download Dataset\n\n\nFor more details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please cite:",
"## Contact\nURL@URL"
] |
[
"TAGS\n#license-apache-2.0 #region-us \n",
"# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the Mouse dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.",
"## Download Dataset\n\n\nFor more details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please cite:",
"## Contact\nURL@URL"
] |
[
14,
172,
29,
5
] |
[
"passage: TAGS\n#license-apache-2.0 #region-us \n# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the Mouse dataset customized for Animal Voice Activity Detection (vocal segmentation) in WhisperSeg.## Download Dataset\n\n\nFor more details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please cite:## Contact\nURL@URL"
] |
fefdf18c196e4b3de0c2cf84652e3983efb8530d
|
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
>
> [**Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection**](https://doi.org/10.1101/2023.09.30.560270)
>
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich
This is the AVA-Speech dataset customized for Human Speech Voice Activity Detection in WhisperSeg. The audio files were extracted from films, and the onset and offsets are at utterance level.
## Download Dataset
```python
from huggingface_hub import snapshot_download
snapshot_download('nccratliri/vad-human-ava-speech', local_dir = "data/human-ava-speech", repo_type="dataset" )
```
For more details, please refer to the GitHub repository: https://github.com/nianlonggu/WhisperSeg
When using this dataset, please cite:
```
@article {Gu2023.09.30.560270,
author = {Nianlong Gu and Kanghwi Lee and Maris Basha and Sumit Kumar Ram and Guanghao You and Richard Hahnloser},
title = {Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection},
elocation-id = {2023.09.30.560270},
year = {2023},
doi = {10.1101/2023.09.30.560270},
publisher = {Cold Spring Harbor Laboratory},
abstract = {This paper introduces WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for human and animal Voice Activity Detection (VAD). Contrary to traditional methods that detect human voice or animal vocalizations from a short audio frame and rely on careful threshold selection, WhisperSeg processes entire spectrograms of long audio and generates plain text representations of onset, offset, and type of voice activity. Processing a longer audio context with a larger network greatly improves detection accuracy from few labeled examples. We further demonstrate a positive transfer of detection performance to new animal species, making our approach viable in the data-scarce multi-species setting.Competing Interest StatementThe authors have declared no competing interest.},
URL = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270},
eprint = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270.full.pdf},
journal = {bioRxiv}
}
```
```
@inproceedings{ava-speech,
title = {AVA-Speech: A Densely Labeled Dataset of Speech Activity in Movies},
author = {Sourish Chaudhuri and Joseph Roth and Dan Ellis and Andrew C. Gallagher and Liat Kaver and Radhika Marvin and Caroline Pantofaru and Nathan Christopher Reale and Loretta Guarino Reid and Kevin Wilson and Zhonghua Xi},
year = {2018},
URL = {https://arxiv.org/pdf/1808.00606},
booktitle = {Proceedings of Interspeech, 2018}
}
```
## Contact
[email protected]
|
nccratliri/vad-human-ava-speech
|
[
"license:apache-2.0",
"arxiv:1808.00606",
"region:us"
] |
2023-09-10T17:38:08+00:00
|
{"license": "apache-2.0"}
|
2023-10-03T06:09:45+00:00
|
[
"1808.00606"
] |
[] |
TAGS
#license-apache-2.0 #arxiv-1808.00606 #region-us
|
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
>
> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection
>
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich
This is the AVA-Speech dataset customized for Human Speech Voice Activity Detection in WhisperSeg. The audio files were extracted from films, and the onset and offsets are at utterance level.
## Download Dataset
For more details, please refer to the GitHub repository: URL
When using this dataset, please cite:
## Contact
URL@URL
|
[
"# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the AVA-Speech dataset customized for Human Speech Voice Activity Detection in WhisperSeg. The audio files were extracted from films, and the onset and offsets are at utterance level.",
"## Download Dataset\n\n\nFor more details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please cite:",
"## Contact\nURL@URL"
] |
[
"TAGS\n#license-apache-2.0 #arxiv-1808.00606 #region-us \n",
"# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the AVA-Speech dataset customized for Human Speech Voice Activity Detection in WhisperSeg. The audio files were extracted from films, and the onset and offsets are at utterance level.",
"## Download Dataset\n\n\nFor more details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please cite:",
"## Contact\nURL@URL"
] |
[
22,
196,
29,
5
] |
[
"passage: TAGS\n#license-apache-2.0 #arxiv-1808.00606 #region-us \n# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\nWe proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper\n\n>\n> Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection\n> \n> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>\n> University of Zurich and ETH Zurich\n\nThis is the AVA-Speech dataset customized for Human Speech Voice Activity Detection in WhisperSeg. The audio files were extracted from films, and the onset and offsets are at utterance level.## Download Dataset\n\n\nFor more details, please refer to the GitHub repository: URL\n\nWhen using this dataset, please cite:## Contact\nURL@URL"
] |
d59be3ef7e2b7eea2d15f928b3d3b56ce5a844ae
|
# Dataset of jeanne_d_arc/ジャンヌ・ダルク/贞德 (Fate/Grand Order)
This is the dataset of jeanne_d_arc/ジャンヌ・ダルク/贞德 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `blonde_hair, long_hair, breasts, very_long_hair, blue_eyes, large_breasts, braid, single_braid, bangs`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 840.76 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jeanne_d_arc_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 453.99 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jeanne_d_arc_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1248 | 955.41 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jeanne_d_arc_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 732.67 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jeanne_d_arc_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1248 | 1.34 GiB | [Download](https://huggingface.co/datasets/CyberHarem/jeanne_d_arc_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/jeanne_d_arc_fgo',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 5 |  |  |  |  |  | 1girl, armored_dress, bare_shoulders, chain, fur_trim, gauntlets, headpiece, looking_at_viewer, smile, solo, white_dress, closed_mouth, faulds, blush, flag, metal_collar |
| 1 | 8 |  |  |  |  |  | 1girl, armored_dress, bare_shoulders, chain, gauntlets, headpiece, holding, looking_at_viewer, solo, sword, smile, white_dress, closed_mouth, flag, banner, faulds, fur-trimmed_legwear, armored_boots, sheath, standing, black_thighhighs |
| 2 | 8 |  |  |  |  |  | 1girl, armored_dress, chain, faulds, gauntlets, headpiece, looking_at_viewer, solo, flag, smile, sword, capelet, holding, black_thighhighs, white_background, long_braid, simple_background, blush, open_mouth |
| 3 | 12 |  |  |  |  |  | 1girl, armored_dress, gauntlets, headpiece, solo, sword, black_thighhighs, purple_eyes, sheath, looking_at_viewer, holding |
| 4 | 13 |  |  |  |  |  | 1girl, headpiece, solo, armored_dress, chain, gauntlets, looking_at_viewer, smile, bare_shoulders, flag, fur_trim, holding, upper_body, closed_mouth, thighhighs |
| 5 | 7 |  |  |  |  |  | 1girl, looking_at_viewer, solo, white_dress, cleavage, headpiece, open_mouth, :d, detached_sleeves, white_background |
| 6 | 10 |  |  |  |  |  | 1girl, black_dress, black_gloves, black_thighhighs, looking_at_viewer, smile, solo, hair_flower, blush, choker, collarbone, bare_shoulders, black_bow, cleavage, closed_mouth, hair_between_eyes, hair_bow, necklace, see-through, skirt_hold, blue_flower, long_braid, medium_breasts, side_slit, standing, thighs |
| 7 | 7 |  |  |  |  |  | 1girl, black_bikini, cleavage, outdoors, solo, collarbone, long_sleeves, looking_at_viewer, navel, black_hairband, blue_jacket, blush, day, front-tie_bikini_top, hair_between_eyes, hooded_jacket, open_jacket, smile, blue_sky, cloud, groin, innertube, medium_breasts, standing, water, bird, long_braid, ocean, open_mouth, thigh_strap, thighs, wading |
| 8 | 5 |  |  |  |  |  | 1girl, black_bikini, blue_jacket, blush, cleavage, collarbone, long_sleeves, looking_at_viewer, smile, solo, thighs, black_hairband, hair_between_eyes, hooded_jacket, long_braid, open_jacket, front-tie_top, hair_scrunchie, navel, sitting, thigh_strap, bag, closed_mouth, parted_lips, white_background |
| 9 | 9 |  |  |  |  |  | 1girl, looking_at_viewer, obi, solo, floral_print, headpiece, wide_sleeves, smile, long_sleeves, print_kimono, blue_kimono, blush, yukata, flower, holding_umbrella |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | armored_dress | bare_shoulders | chain | fur_trim | gauntlets | headpiece | looking_at_viewer | smile | solo | white_dress | closed_mouth | faulds | blush | flag | metal_collar | holding | sword | banner | fur-trimmed_legwear | armored_boots | sheath | standing | black_thighhighs | capelet | white_background | long_braid | simple_background | open_mouth | purple_eyes | upper_body | thighhighs | cleavage | :d | detached_sleeves | black_dress | black_gloves | hair_flower | choker | collarbone | black_bow | hair_between_eyes | hair_bow | necklace | see-through | skirt_hold | blue_flower | medium_breasts | side_slit | thighs | black_bikini | outdoors | long_sleeves | navel | black_hairband | blue_jacket | day | front-tie_bikini_top | hooded_jacket | open_jacket | blue_sky | cloud | groin | innertube | water | bird | ocean | thigh_strap | wading | front-tie_top | hair_scrunchie | sitting | bag | parted_lips | obi | floral_print | wide_sleeves | print_kimono | blue_kimono | yukata | flower | holding_umbrella |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:----------------|:-----------------|:--------|:-----------|:------------|:------------|:--------------------|:--------|:-------|:--------------|:---------------|:---------|:--------|:-------|:---------------|:----------|:--------|:---------|:----------------------|:----------------|:---------|:-----------|:-------------------|:----------|:-------------------|:-------------|:--------------------|:-------------|:--------------|:-------------|:-------------|:-----------|:-----|:-------------------|:--------------|:---------------|:--------------|:---------|:-------------|:------------|:--------------------|:-----------|:-----------|:--------------|:-------------|:--------------|:-----------------|:------------|:---------|:---------------|:-----------|:---------------|:--------|:-----------------|:--------------|:------|:-----------------------|:----------------|:--------------|:-----------|:--------|:--------|:------------|:--------|:-------|:--------|:--------------|:---------|:----------------|:-----------------|:----------|:------|:--------------|:------|:---------------|:---------------|:---------------|:--------------|:---------|:---------|:-------------------|
| 0 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 8 |  |  |  |  |  | X | X | X | X | | X | X | X | X | X | X | X | X | | X | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 8 |  |  |  |  |  | X | X | | X | | X | X | X | X | X | | | X | X | X | | X | X | | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 12 |  |  |  |  |  | X | X | | | | X | X | X | | X | | | | | | | X | X | | | | X | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 13 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | | X | | | X | | X | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 7 |  |  |  |  |  | X | | | | | | X | X | | X | X | | | | | | | | | | | | | | | X | | | X | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 10 |  |  |  |  |  | X | | X | | | | | X | X | X | | X | | X | | | | | | | | | X | X | | | X | | | | | | X | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 7 |  |  |  |  |  | X | | | | | | | X | X | X | | | | X | | | | | | | | | X | | | | X | | X | | | | X | | | | | | | X | | X | | | | | | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | |
| 8 | 5 |  |  |  |  |  | X | | | | | | | X | X | X | | X | | X | | | | | | | | | | | | X | X | | | | | | X | | | | | | | X | | X | | | | | | | | X | X | | X | X | X | X | | | X | X | | | | | | | | X | | X | X | X | X | X | | | | | | | | |
| 9 | 9 |  |  |  |  |  | X | | | | | | X | X | X | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X |
|
CyberHarem/jeanne_d_arc_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T17:50:10+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-11T18:10:02+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of jeanne\_d\_arc/ジャンヌ・ダルク/贞德 (Fate/Grand Order)
========================================================
This is the dataset of jeanne\_d\_arc/ジャンヌ・ダルク/贞德 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'blonde\_hair, long\_hair, breasts, very\_long\_hair, blue\_eyes, large\_breasts, braid, single\_braid, bangs', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
b0b9c551e1ade1c41408777e2c3791e9b2843954
|
# Dataset of izumi_mei/和泉愛依 (THE iDOLM@STER: SHINY COLORS)
This is the dataset of izumi_mei/和泉愛依 (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `blonde_hair, long_hair, brown_hair, multicolored_hair, breasts, gradient_hair, large_breasts, dark_skin, black_eyes, dark-skinned_female, earrings, bangs`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:-----------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 784.06 MiB | [Download](https://huggingface.co/datasets/CyberHarem/izumi_mei_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 421.28 MiB | [Download](https://huggingface.co/datasets/CyberHarem/izumi_mei_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1240 | 918.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/izumi_mei_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 680.70 MiB | [Download](https://huggingface.co/datasets/CyberHarem/izumi_mei_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1240 | 1.32 GiB | [Download](https://huggingface.co/datasets/CyberHarem/izumi_mei_theidolmstershinycolors/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/izumi_mei_theidolmstershinycolors',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 5 |  |  |  |  |  | 1girl, gyaru, jewelry, looking_at_viewer, smile, solo, upper_body, blush, simple_background, tan, collarbone, black_shirt, choker, eyes_visible_through_hair, hair_between_eyes, waving |
| 1 | 12 |  |  |  |  |  | 1girl, cleavage, looking_at_viewer, smile, solo, crop_top, gyaru, midriff, navel, blush, hair_between_eyes, simple_background, collarbone, hoop_earrings, white_background, bare_shoulders, black_choker, tank_top, torn_jeans, upper_body |
| 2 | 5 |  |  |  |  |  | 1girl, blush, cleavage, collared_shirt, gyaru, looking_at_viewer, loose_bowtie, solo, white_shirt, jewelry, sleeves_rolled_up, smile, tan, upper_body, eyes_visible_through_hair, plaid, school_uniform, simple_background, blue_vest, collarbone, ear_piercing, hair_between_eyes, hair_over_one_eye, white_background |
| 3 | 7 |  |  |  |  |  | 1girl, bowtie, gyaru, looking_at_viewer, pleated_skirt, solo, sweater_vest, white_shirt, blush, collared_shirt, miniskirt, school_uniform, simple_background, cleavage, smile, white_background, grey_skirt, thighs, blue_vest, hair_between_eyes, jewelry, plaid, sleeves_rolled_up, tan |
| 4 | 8 |  |  |  |  |  | 1girl, fingerless_gloves, looking_at_viewer, solo, black_gloves, jewelry, navel, ponytail, cleavage, nail_polish, smile, bare_shoulders, collarbone, gyaru, midriff, purple_nails, white_jacket, blush, choker, pink_hair, thighhighs, garter_straps, miniskirt, off_shoulder, open_jacket, purple_hair, simple_background, streaked_hair, upper_body, white_background, white_bikini |
| 5 | 7 |  |  |  |  |  | 1girl, eyewear_on_head, gyaru, looking_at_viewer, solo, sunglasses, tan, white_bikini, bracelet, choker, cleavage, necklace, ponytail, armlet, blush, nail_polish, smile, bare_shoulders, beach, brown_eyes, day, outdoors, tongue_out |
| 6 | 14 |  |  |  |  |  | bracelet, brown_eyes, gyaru, looking_at_viewer, short_shorts, 1girl, solo, simple_background, white_background, bikini, belt, denim_shorts, navel_piercing, necklace, smile, nail_polish, hair_between_eyes, tongue_out, ass, open_mouth, tongue_piercing |
| 7 | 7 |  |  |  |  |  | 1girl, puffy_sleeves, solo, tan, frills, gyaru, maid_headdress, simple_background, looking_at_viewer, maid_apron, cleavage, jewelry, white_background, alternate_costume, hair_bun, long_sleeves, short_sleeves, wrist_cuffs |
| 8 | 7 |  |  |  |  |  | 1girl, blouse, gyaru, solo, tan, looking_at_viewer, blush, collared_shirt, jewelry, long_skirt, puffy_long_sleeves, vest, curtain_grab, eyes_visible_through_hair, smile, sunlight, window, hair_bow, indoors |
| 9 | 12 |  |  |  |  |  | 1girl, fake_animal_ears, looking_at_viewer, playboy_bunny, rabbit_ears, solo, blush, cleavage, bare_shoulders, detached_collar, smile, gyaru, simple_background, strapless_leotard, white_background, wrist_cuffs, bowtie, pantyhose, black_leotard, hair_between_eyes |
| 10 | 11 |  |  |  |  |  | 1boy, 1girl, blush, hetero, nipples, solo_focus, collarbone, sex, sweat, completely_nude, gyaru, hair_between_eyes, jewelry, navel, open_mouth, penis, spread_legs, vaginal, looking_at_viewer, pussy, cowgirl_position, female_pubic_hair, girl_on_top, tan, pov, bar_censor, cum, heart, smile |
| 11 | 5 |  |  |  |  |  | 1girl, ass, blush, looking_at_viewer, solo, bare_shoulders, hair_between_eyes, black_panties, brown_eyes, gyaru, simple_background, underwear_only, black_bra, collarbone, from_behind, grin, looking_back, nipples, tan, thighs, thong, white_background |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | gyaru | jewelry | looking_at_viewer | smile | solo | upper_body | blush | simple_background | tan | collarbone | black_shirt | choker | eyes_visible_through_hair | hair_between_eyes | waving | cleavage | crop_top | midriff | navel | hoop_earrings | white_background | bare_shoulders | black_choker | tank_top | torn_jeans | collared_shirt | loose_bowtie | white_shirt | sleeves_rolled_up | plaid | school_uniform | blue_vest | ear_piercing | hair_over_one_eye | bowtie | pleated_skirt | sweater_vest | miniskirt | grey_skirt | thighs | fingerless_gloves | black_gloves | ponytail | nail_polish | purple_nails | white_jacket | pink_hair | thighhighs | garter_straps | off_shoulder | open_jacket | purple_hair | streaked_hair | white_bikini | eyewear_on_head | sunglasses | bracelet | necklace | armlet | beach | brown_eyes | day | outdoors | tongue_out | short_shorts | bikini | belt | denim_shorts | navel_piercing | ass | open_mouth | tongue_piercing | puffy_sleeves | frills | maid_headdress | maid_apron | alternate_costume | hair_bun | long_sleeves | short_sleeves | wrist_cuffs | blouse | long_skirt | puffy_long_sleeves | vest | curtain_grab | sunlight | window | hair_bow | indoors | fake_animal_ears | playboy_bunny | rabbit_ears | detached_collar | strapless_leotard | pantyhose | black_leotard | 1boy | hetero | nipples | solo_focus | sex | sweat | completely_nude | penis | spread_legs | vaginal | pussy | cowgirl_position | female_pubic_hair | girl_on_top | pov | bar_censor | cum | heart | black_panties | underwear_only | black_bra | from_behind | grin | looking_back | thong |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------|:----------|:--------------------|:--------|:-------|:-------------|:--------|:--------------------|:------|:-------------|:--------------|:---------|:----------------------------|:--------------------|:---------|:-----------|:-----------|:----------|:--------|:----------------|:-------------------|:-----------------|:---------------|:-----------|:-------------|:-----------------|:---------------|:--------------|:--------------------|:--------|:-----------------|:------------|:---------------|:--------------------|:---------|:----------------|:---------------|:------------|:-------------|:---------|:--------------------|:---------------|:-----------|:--------------|:---------------|:---------------|:------------|:-------------|:----------------|:---------------|:--------------|:--------------|:----------------|:---------------|:------------------|:-------------|:-----------|:-----------|:---------|:--------|:-------------|:------|:-----------|:-------------|:---------------|:---------|:-------|:---------------|:-----------------|:------|:-------------|:------------------|:----------------|:---------|:-----------------|:-------------|:--------------------|:-----------|:---------------|:----------------|:--------------|:---------|:-------------|:---------------------|:-------|:---------------|:-----------|:---------|:-----------|:----------|:-------------------|:----------------|:--------------|:------------------|:--------------------|:------------|:----------------|:-------|:---------|:----------|:-------------|:------|:--------|:------------------|:--------|:--------------|:----------|:--------|:-------------------|:--------------------|:--------------|:------|:-------------|:------|:--------|:----------------|:-----------------|:------------|:--------------|:-------|:---------------|:--------|
| 0 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 12 |  |  |  |  |  | X | X | | X | X | X | X | X | X | | X | | | | X | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | | | X | X | | X | | | | | X | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 7 |  |  |  |  |  | X | X | X | X | X | X | | X | X | X | | | | | X | | X | | | | | X | | | | | X | | X | X | X | X | X | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 8 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | | X | | X | | | | X | | X | X | | X | X | | | | | | | | | | | | | | | | X | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 7 |  |  |  |  |  | X | X | | X | X | X | | X | | X | | | X | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 14 |  |  |  |  |  | X | X | | X | X | X | | | X | | | | | | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | X | X | | | X | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 7 |  |  |  |  |  | X | X | X | X | | X | | | X | X | | | | | | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 7 |  |  |  |  |  | X | X | X | X | X | X | | X | | X | | | | X | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 12 |  |  |  |  |  | X | X | | X | X | X | | X | X | | | | | | X | | X | | | | | X | X | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 11 |  |  |  |  |  | X | X | X | X | X | | | X | | X | X | | | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | |
| 11 | 5 |  |  |  |  |  | X | X | | X | | X | | X | X | X | X | | | | X | | | | | | | X | X | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | X | X | X | X | X | X | X |
|
CyberHarem/izumi_mei_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T18:37:21+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T08:15:19+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of izumi\_mei/和泉愛依 (THE iDOLM@STER: SHINY COLORS)
=========================================================
This is the dataset of izumi\_mei/和泉愛依 (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'blonde\_hair, long\_hair, brown\_hair, multicolored\_hair, breasts, gradient\_hair, large\_breasts, dark\_skin, black\_eyes, dark-skinned\_female, earrings, bangs', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
d2741e7bc3cbd99d68570852cd1775f4cf67c818
|
# Dataset Card for "bak_rus_eng_2M2023_scored"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
slone/bak_rus_eng_2M2023_scored
|
[
"region:us"
] |
2023-09-10T18:41:55+00:00
|
{"dataset_info": {"features": [{"name": "idx", "dtype": "int64"}, {"name": "ba", "dtype": "string"}, {"name": "ru", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "cosine_sim", "dtype": "float64"}, {"name": "cross_encoder_sim", "dtype": "float64"}, {"name": "joint_sim", "dtype": "float64"}, {"name": "ru_len", "dtype": "int64"}, {"name": "en", "dtype": "string"}, {"name": "en_ru_sim", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 1070778392, "num_examples": 2228224}], "download_size": 620446960, "dataset_size": 1070778392}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-10T18:42:26+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "bak_rus_eng_2M2023_scored"
More Information needed
|
[
"# Dataset Card for \"bak_rus_eng_2M2023_scored\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"bak_rus_eng_2M2023_scored\"\n\nMore Information needed"
] |
[
6,
23
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"bak_rus_eng_2M2023_scored\"\n\nMore Information needed"
] |
81d1d8d2f968954aefcd67e02a0abbd85e373cc7
|
# Dataset Card for "gia-dataset-tokenized-debug2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
edbeeching/gia-dataset-tokenized-debug2
|
[
"region:us"
] |
2023-09-10T18:43:53+00:00
|
{"dataset_info": {"config_name": "atari-alien", "features": [{"name": "input_types", "sequence": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "patches", "sequence": {"sequence": {"sequence": {"sequence": "uint8"}}}}, {"name": "loss_mask", "sequence": "bool"}, {"name": "patch_positions", "sequence": {"sequence": {"sequence": "float64"}}}, {"name": "local_positions", "sequence": "int64"}, {"name": "attention_mask", "sequence": "bool"}], "splits": [{"name": "test", "num_bytes": 442153668, "num_examples": 335}], "download_size": 35972017, "dataset_size": 442153668}, "configs": [{"config_name": "atari-alien", "data_files": [{"split": "test", "path": "atari-alien/test-*"}]}]}
|
2023-09-10T18:44:03+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "gia-dataset-tokenized-debug2"
More Information needed
|
[
"# Dataset Card for \"gia-dataset-tokenized-debug2\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"gia-dataset-tokenized-debug2\"\n\nMore Information needed"
] |
[
6,
22
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"gia-dataset-tokenized-debug2\"\n\nMore Information needed"
] |
a5f53b008764bf233b21740a6f84bbbe3845893b
|
# Dataset Card for "grade_12_exams"
Reference: https://huggingface.co/datasets/exams
|
vlsp-2023-vllm/grade_12_exams
|
[
"region:us"
] |
2023-09-10T18:54:48+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "metadata", "struct": [{"name": "grade", "dtype": "int64"}, {"name": "language", "dtype": "string"}, {"name": "subject", "dtype": "string"}]}, {"name": "choices", "struct": [{"name": "label", "sequence": "string"}, {"name": "text", "sequence": "string"}]}, {"name": "answerKey", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 921887, "num_examples": 1955}, {"name": "validation", "num_bytes": 224168, "num_examples": 488}], "download_size": 461705, "dataset_size": 1146055}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}]}
|
2023-09-30T07:28:29+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "grade_12_exams"
Reference: URL
|
[
"# Dataset Card for \"grade_12_exams\"\n\nReference: URL"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"grade_12_exams\"\n\nReference: URL"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"grade_12_exams\"\n\nReference: URL"
] |
670a912ae9b2c809a715f487f178e356ac97e14f
|
# Dataset of leaf/ブルー (Pokémon)
This is the dataset of leaf/ブルー (Pokémon), containing 500 images and their tags.
The core tags of this character are `brown_hair, long_hair, hat, breasts, brown_eyes`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:--------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 411.63 MiB | [Download](https://huggingface.co/datasets/CyberHarem/leaf_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 270.49 MiB | [Download](https://huggingface.co/datasets/CyberHarem/leaf_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 992 | 499.82 MiB | [Download](https://huggingface.co/datasets/CyberHarem/leaf_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 377.47 MiB | [Download](https://huggingface.co/datasets/CyberHarem/leaf_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 992 | 647.87 MiB | [Download](https://huggingface.co/datasets/CyberHarem/leaf_pokemon/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/leaf_pokemon',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 7 |  |  |  |  |  | 1girl, closed_mouth, looking_at_viewer, sleeveless_shirt, solo, upper_body, white_headwear, blue_shirt, bag, black_wristband, eyelashes, simple_background, holding_poke_ball, poke_ball_(basic), white_background |
| 1 | 6 |  |  |  |  |  | 1girl, blue_shirt, looking_at_viewer, red_skirt, sleeveless_shirt, smile, solo, white_headwear, closed_mouth, pleated_skirt, shoulder_bag, simple_background, black_wristband, cowboy_shot, hand_on_hip, miniskirt, white_background |
| 2 | 7 |  |  |  |  |  | 1girl, blue_shirt, red_skirt, shoes, sleeveless_shirt, white_headwear, closed_mouth, looking_at_viewer, pleated_skirt, smile, solo, white_footwear, black_wristband, full_body, hair_flaps, loose_socks, simple_background, white_background, blue_socks, eyelashes, holding_poke_ball, poke_ball_(basic), sitting, shoulder_bag, standing, yellow_bag |
| 3 | 17 |  |  |  |  |  | 1girl, blush, hetero, white_headwear, nipples, shirt_lift, penis, sex, pokemon_(creature), red_skirt, vaginal, loose_socks, open_mouth, pokephilia, mosaic_censoring, pussy, 1boy, spread_legs, bestiality, no_bra, outdoors, panties, sleeveless_shirt, blue_shirt, shiny_skin, eyelashes, navel, smile, sweat, tongue |
| 4 | 5 |  |  |  |  |  | 1girl, blush, medium_breasts, nipples, 1boy, hetero, topless, vaginal, bestiality, panties_aside, penis, pokemon_(creature), pokephilia, sex, white_panties, closed_eyes, cum, english_text, mosaic_censoring, open_mouth, pussy, socks, solo_focus |
| 5 | 10 |  |  |  |  |  | 1girl, hetero, penis, sex, 1boy, vaginal, cum_in_pussy, nipples, blush, porkpie_hat, medium_breasts, open_mouth, solo_focus, spread_legs, shirt_lift, skirt, uncensored |
| 6 | 5 |  |  |  |  |  | 1boy, 1girl, hetero, large_breasts, solo_focus, blush, nipples, penis, cum_on_breasts, facial, paizuri, porkpie_hat, smile, wristband, censored, pov |
| 7 | 12 |  |  |  |  |  | 1girl, camouflage_headwear, long_sleeves, official_alternate_costume, open_mouth, tongue, :d, buttons, eyelashes, green_coat, green_headwear, shirt, open_coat, bike_shorts, pokemon_(creature), dress, green_jacket, shoes, upper_teeth_only |
| 8 | 8 |  |  |  |  |  | 1girl, bike_shorts, buttons, camouflage_headwear, eyelashes, green_jacket, official_alternate_costume, closed_mouth, green_coat, long_sleeves, open_coat, smile, green_headwear, hair_flaps, looking_at_viewer, pink_shirt, solo, open_jacket, pink_dress, pokemon_(creature) |
| 9 | 5 |  |  |  |  |  | 1girl, blush, hetero, nipples, solo_focus, fellatio, gangbang, medium_breasts, multiple_penises, shirt_lift, vaginal, 3boys, cum_in_mouth, miniskirt, mmf_threesome, navel, porkpie_hat, testicles, uncensored, white_headwear, 2boys, cum_in_pussy, cum_on_breasts, double_handjob, rape, red_skirt, tears |
| 10 | 9 |  |  |  |  |  | 1girl, nipples, nude, solo, navel, pussy, blush, female_pubic_hair, looking_at_viewer, smile, wristband, small_breasts, white_headwear |
| 11 | 5 |  |  |  |  |  | 1girl, bikini, day, outdoors, blue_sky, cloud, looking_at_viewer, navel, bangs, cleavage, collarbone, open_mouth, pokemon_(creature), solo, :d, blush, cowboy_shot, large_breasts, standing, thigh_gap, water |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | closed_mouth | looking_at_viewer | sleeveless_shirt | solo | upper_body | white_headwear | blue_shirt | bag | black_wristband | eyelashes | simple_background | holding_poke_ball | poke_ball_(basic) | white_background | red_skirt | smile | pleated_skirt | shoulder_bag | cowboy_shot | hand_on_hip | miniskirt | shoes | white_footwear | full_body | hair_flaps | loose_socks | blue_socks | sitting | standing | yellow_bag | blush | hetero | nipples | shirt_lift | penis | sex | pokemon_(creature) | vaginal | open_mouth | pokephilia | mosaic_censoring | pussy | 1boy | spread_legs | bestiality | no_bra | outdoors | panties | shiny_skin | navel | sweat | tongue | medium_breasts | topless | panties_aside | white_panties | closed_eyes | cum | english_text | socks | solo_focus | cum_in_pussy | porkpie_hat | skirt | uncensored | large_breasts | cum_on_breasts | facial | paizuri | wristband | censored | pov | camouflage_headwear | long_sleeves | official_alternate_costume | :d | buttons | green_coat | green_headwear | shirt | open_coat | bike_shorts | dress | green_jacket | upper_teeth_only | pink_shirt | open_jacket | pink_dress | fellatio | gangbang | multiple_penises | 3boys | cum_in_mouth | mmf_threesome | testicles | 2boys | double_handjob | rape | tears | nude | female_pubic_hair | small_breasts | bikini | day | blue_sky | cloud | bangs | cleavage | collarbone | thigh_gap | water |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:---------------|:--------------------|:-------------------|:-------|:-------------|:-----------------|:-------------|:------|:------------------|:------------|:--------------------|:--------------------|:--------------------|:-------------------|:------------|:--------|:----------------|:---------------|:--------------|:--------------|:------------|:--------|:-----------------|:------------|:-------------|:--------------|:-------------|:----------|:-----------|:-------------|:--------|:---------|:----------|:-------------|:--------|:------|:---------------------|:----------|:-------------|:-------------|:-------------------|:--------|:-------|:--------------|:-------------|:---------|:-----------|:----------|:-------------|:--------|:--------|:---------|:-----------------|:----------|:----------------|:----------------|:--------------|:------|:---------------|:--------|:-------------|:---------------|:--------------|:--------|:-------------|:----------------|:-----------------|:---------|:----------|:------------|:-----------|:------|:----------------------|:---------------|:-----------------------------|:-----|:----------|:-------------|:-----------------|:--------|:------------|:--------------|:--------|:---------------|:-------------------|:-------------|:--------------|:-------------|:-----------|:-----------|:-------------------|:--------|:---------------|:----------------|:------------|:--------|:-----------------|:-------|:--------|:-------|:--------------------|:----------------|:---------|:------|:-----------|:--------|:--------|:-----------|:-------------|:------------|:--------|
| 0 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 6 |  |  |  |  |  | X | X | X | X | X | | X | X | | X | | X | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 7 |  |  |  |  |  | X | X | X | X | X | | X | X | | X | X | X | X | X | X | X | X | X | X | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 17 |  |  |  |  |  | X | | | X | | | X | X | | | X | | | | | X | X | | | | | | | | | | X | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | | X | X | X | X | X | X | X | X | X | | X | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 10 |  |  |  |  |  | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | | X | X | | | | X | X | | | | | | | | | X | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | X | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | X | X | X | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | X | | X | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 12 |  |  |  |  |  | X | | | | | | | | | | X | | | | | | | | | | | | X | | | | | | | | | | | | | | | X | | X | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 8 |  |  |  |  |  | X | X | X | | X | | | | | | X | | | | | | X | | | | | | | | | X | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | | X | X | X | | X | X | | X | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 5 |  |  |  |  |  | X | | | | | | X | | | | | | | | | X | | | | | | X | | | | | | | | | | X | X | X | X | | | | X | | | | | | | | | | | | X | | | X | | | | | | | | X | X | X | | X | | X | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | |
| 10 | 9 |  |  |  |  |  | X | | X | | X | | X | | | | | | | | | | X | | | | | | | | | | | | | | | X | | X | | | | | | | | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | | | | | | | | | |
| 11 | 5 |  |  |  |  |  | X | | X | | X | | | | | | | | | | | | | | | X | | | | | | | | | | X | | X | | | | | | X | | X | | | | | | | | X | | | X | | | | | | | | | | | | | | | | X | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X |
|
CyberHarem/leaf_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T18:58:25+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T17:32:03+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of leaf/ブルー (Pokémon)
=============================
This is the dataset of leaf/ブルー (Pokémon), containing 500 images and their tags.
The core tags of this character are 'brown\_hair, long\_hair, hat, breasts, brown\_eyes', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
8681922644a2f8b00201fc072b29e3b1ff933727
|
# Dataset Card for "game"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
DemonMaike/game
|
[
"region:us"
] |
2023-09-10T19:06:50+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4259288.1572769955, "num_examples": 766}, {"name": "test", "num_bytes": 478196.8427230047, "num_examples": 86}], "download_size": 2140477, "dataset_size": 4737485.0}}
|
2023-09-10T19:07:01+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "game"
More Information needed
|
[
"# Dataset Card for \"game\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"game\"\n\nMore Information needed"
] |
[
6,
11
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"game\"\n\nMore Information needed"
] |
b4e95d6918be25e8f1ca3e74b5ef5c8cb09cff5a
|
# Dataset Card for "llama2-politosphere-fine-tuning-supp-anti-oth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
OneFly7/llama2-politosphere-fine-tuning-supp-anti-oth
|
[
"region:us"
] |
2023-09-10T19:06:58+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 112065, "num_examples": 113}, {"name": "validation", "num_bytes": 110701, "num_examples": 113}], "download_size": 47433, "dataset_size": 222766}}
|
2023-09-11T08:07:30+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "llama2-politosphere-fine-tuning-supp-anti-oth"
More Information needed
|
[
"# Dataset Card for \"llama2-politosphere-fine-tuning-supp-anti-oth\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"llama2-politosphere-fine-tuning-supp-anti-oth\"\n\nMore Information needed"
] |
[
6,
27
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"llama2-politosphere-fine-tuning-supp-anti-oth\"\n\nMore Information needed"
] |
6491d0c78952f36b6884edb7b8d307bbf4e8c969
|
# Dataset Card for squad
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
## Dataset Description
- **Homepage:** https://argilla.io
- **Repository:** https://github.com/argilla-io/argilla
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset contains:
* A dataset configuration file conforming to the Argilla dataset format named `argilla.yaml`. This configuration file will be used to configure the dataset when using the `FeedbackDataset.from_huggingface` method in Argilla.
* Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `FeedbackDataset.from_huggingface` and can be loaded independently using the `datasets` library via `load_dataset`.
* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
### Load with Argilla
To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
```python
import argilla as rg
ds = rg.FeedbackDataset.from_huggingface("argilla/squad")
```
### Load with `datasets`
To load this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code:
```python
from datasets import load_dataset
ds = load_dataset("argilla/squad")
```
### Supported Tasks and Leaderboards
This dataset can contain [multiple fields, questions and responses](https://docs.argilla.io/en/latest/guides/llms/conceptual_guides/data_model.html) so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the [Dataset Structure section](#dataset-structure).
There are no leaderboards associated with this dataset.
### Languages
[More Information Needed]
## Dataset Structure
### Data in Argilla
The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, and **guidelines**.
The **fields** are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
| Field Name | Title | Type | Required | Markdown |
| ---------- | ----- | ---- | -------- | -------- |
| question | Question | TextField | True | False |
| context | Context | TextField | True | False |
The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, single choice, or multiple choice.
| Question Name | Title | Type | Required | Description | Values/Labels |
| ------------- | ----- | ---- | -------- | ----------- | ------------- |
| answer | Answer | TextQuestion | True | N/A | N/A |
**✨ NEW** Additionally, we also have **suggestions**, which are linked to the existing questions, and so on, named appending "-suggestion" and "-suggestion-metadata" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above.
Finally, the **guidelines** are just a plain string that can be used to provide instructions to the annotators. Find those in the [annotation guidelines](#annotation-guidelines) section.
### Data Instances
An example of a dataset instance in Argilla looks as follows:
```json
{
"fields": {
"context": "Architecturally, the school has a Catholic character. Atop the Main Building\u0027s gold dome is a golden statue of the Virgin Mary. Immediately in front of the Main Building and facing it, is a copper statue of Christ with arms upraised with the legend \"Venite Ad Me Omnes\". Next to the Main Building is the Basilica of the Sacred Heart. Immediately behind the basilica is the Grotto, a Marian place of prayer and reflection. It is a replica of the grotto at Lourdes, France where the Virgin Mary reputedly appeared to Saint Bernadette Soubirous in 1858. At the end of the main drive (and in a direct line that connects through 3 statues and the Gold Dome), is a simple, modern stone statue of Mary.",
"question": "To whom did the Virgin Mary allegedly appear in 1858 in Lourdes France?"
},
"metadata": {
"split": "train"
},
"responses": [
{
"status": "submitted",
"values": {
"answer": {
"value": "Saint Bernadette Soubirous"
}
}
}
],
"suggestions": []
}
```
While the same record in HuggingFace `datasets` looks as follows:
```json
{
"answer": [
{
"status": "submitted",
"user_id": null,
"value": "Saint Bernadette Soubirous"
}
],
"answer-suggestion": null,
"answer-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
},
"context": "Architecturally, the school has a Catholic character. Atop the Main Building\u0027s gold dome is a golden statue of the Virgin Mary. Immediately in front of the Main Building and facing it, is a copper statue of Christ with arms upraised with the legend \"Venite Ad Me Omnes\". Next to the Main Building is the Basilica of the Sacred Heart. Immediately behind the basilica is the Grotto, a Marian place of prayer and reflection. It is a replica of the grotto at Lourdes, France where the Virgin Mary reputedly appeared to Saint Bernadette Soubirous in 1858. At the end of the main drive (and in a direct line that connects through 3 statues and the Gold Dome), is a simple, modern stone statue of Mary.",
"external_id": null,
"metadata": "{\"split\": \"train\"}",
"question": "To whom did the Virgin Mary allegedly appear in 1858 in Lourdes France?"
}
```
### Data Fields
Among the dataset fields, we differentiate between the following:
* **Fields:** These are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
* **question** is of type `TextField`.
* **context** is of type `TextField`.
* **Questions:** These are the questions that will be asked to the annotators. They can be of different types, such as `RatingQuestion`, `TextQuestion`, `LabelQuestion`, `MultiLabelQuestion`, and `RankingQuestion`.
* **answer** is of type `TextQuestion`.
* **✨ NEW** **Suggestions:** As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.
* (optional) **answer-suggestion** is of type `text`.
Additionally, we also have one more field which is optional and is the following:
* **external_id:** This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.
### Data Splits
The dataset contains a single split, which is `train`.
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation guidelines
[More Information Needed]
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed]
|
argilla/squad
|
[
"size_categories:10K<n<100K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] |
2023-09-10T19:27:53+00:00
|
{"size_categories": "10K<n<100K", "tags": ["rlfh", "argilla", "human-feedback"]}
|
2023-09-10T19:48:49+00:00
|
[] |
[] |
TAGS
#size_categories-10K<n<100K #rlfh #argilla #human-feedback #region-us
|
Dataset Card for squad
======================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper:
* Leaderboard:
* Point of Contact:
### Dataset Summary
This dataset contains:
* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\_huggingface' method in Argilla.
* Dataset records in a format compatible with HuggingFace 'datasets'. These records will be loaded automatically when using 'FeedbackDataset.from\_huggingface' and can be loaded independently using the 'datasets' library via 'load\_dataset'.
* The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.
### Load with Argilla
To load with Argilla, you'll just need to install Argilla as 'pip install argilla --upgrade' and then use the following code:
### Load with 'datasets'
To load this dataset with 'datasets', you'll just need to install 'datasets' as 'pip install datasets --upgrade' and then use the following code:
### Supported Tasks and Leaderboards
This dataset can contain multiple fields, questions and responses so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the Dataset Structure section.
There are no leaderboards associated with this dataset.
### Languages
Dataset Structure
-----------------
### Data in Argilla
The dataset is created in Argilla with: fields, questions, suggestions, and guidelines.
The fields are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
The questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, single choice, or multiple choice.
NEW Additionally, we also have suggestions, which are linked to the existing questions, and so on, named appending "-suggestion" and "-suggestion-metadata" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above.
Finally, the guidelines are just a plain string that can be used to provide instructions to the annotators. Find those in the annotation guidelines section.
### Data Instances
An example of a dataset instance in Argilla looks as follows:
While the same record in HuggingFace 'datasets' looks as follows:
### Data Fields
Among the dataset fields, we differentiate between the following:
* Fields: These are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
+ question is of type 'TextField'.
+ context is of type 'TextField'.
* Questions: These are the questions that will be asked to the annotators. They can be of different types, such as 'RatingQuestion', 'TextQuestion', 'LabelQuestion', 'MultiLabelQuestion', and 'RankingQuestion'.
+ answer is of type 'TextQuestion'.
* NEW Suggestions: As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.
+ (optional) answer-suggestion is of type 'text'.
Additionally, we also have one more field which is optional and is the following:
* external\_id: This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.
### Data Splits
The dataset contains a single split, which is 'train'.
Dataset Creation
----------------
### Curation Rationale
### Source Data
#### Initial Data Collection and Normalization
#### Who are the source language producers?
### Annotations
#### Annotation guidelines
#### Annotation process
#### Who are the annotators?
### Personal and Sensitive Information
Considerations for Using the Data
---------------------------------
### Social Impact of Dataset
### Discussion of Biases
### Other Known Limitations
Additional Information
----------------------
### Dataset Curators
### Licensing Information
### Contributions
|
[
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible with HuggingFace 'datasets'. These records will be loaded automatically when using 'FeedbackDataset.from\\_huggingface' and can be loaded independently using the 'datasets' library via 'load\\_dataset'.\n* The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.",
"### Load with Argilla\n\n\nTo load with Argilla, you'll just need to install Argilla as 'pip install argilla --upgrade' and then use the following code:",
"### Load with 'datasets'\n\n\nTo load this dataset with 'datasets', you'll just need to install 'datasets' as 'pip install datasets --upgrade' and then use the following code:",
"### Supported Tasks and Leaderboards\n\n\nThis dataset can contain multiple fields, questions and responses so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the Dataset Structure section.\n\n\nThere are no leaderboards associated with this dataset.",
"### Languages\n\n\nDataset Structure\n-----------------",
"### Data in Argilla\n\n\nThe dataset is created in Argilla with: fields, questions, suggestions, and guidelines.\n\n\nThe fields are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.\n\n\n\nThe questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, single choice, or multiple choice.\n\n\n\nNEW Additionally, we also have suggestions, which are linked to the existing questions, and so on, named appending \"-suggestion\" and \"-suggestion-metadata\" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above.\n\n\nFinally, the guidelines are just a plain string that can be used to provide instructions to the annotators. Find those in the annotation guidelines section.",
"### Data Instances\n\n\nAn example of a dataset instance in Argilla looks as follows:\n\n\nWhile the same record in HuggingFace 'datasets' looks as follows:",
"### Data Fields\n\n\nAmong the dataset fields, we differentiate between the following:\n\n\n* Fields: These are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.\n\n\n\t+ question is of type 'TextField'.\n\t+ context is of type 'TextField'.\n* Questions: These are the questions that will be asked to the annotators. They can be of different types, such as 'RatingQuestion', 'TextQuestion', 'LabelQuestion', 'MultiLabelQuestion', and 'RankingQuestion'.\n\n\n\t+ answer is of type 'TextQuestion'.\n* NEW Suggestions: As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.\n\n\n\t+ (optional) answer-suggestion is of type 'text'.\n\n\nAdditionally, we also have one more field which is optional and is the following:\n\n\n* external\\_id: This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.",
"### Data Splits\n\n\nThe dataset contains a single split, which is 'train'.\n\n\nDataset Creation\n----------------",
"### Curation Rationale",
"### Source Data",
"#### Initial Data Collection and Normalization",
"#### Who are the source language producers?",
"### Annotations",
"#### Annotation guidelines",
"#### Annotation process",
"#### Who are the annotators?",
"### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------",
"### Social Impact of Dataset",
"### Discussion of Biases",
"### Other Known Limitations\n\n\nAdditional Information\n----------------------",
"### Dataset Curators",
"### Licensing Information",
"### Contributions"
] |
[
"TAGS\n#size_categories-10K<n<100K #rlfh #argilla #human-feedback #region-us \n",
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible with HuggingFace 'datasets'. These records will be loaded automatically when using 'FeedbackDataset.from\\_huggingface' and can be loaded independently using the 'datasets' library via 'load\\_dataset'.\n* The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.",
"### Load with Argilla\n\n\nTo load with Argilla, you'll just need to install Argilla as 'pip install argilla --upgrade' and then use the following code:",
"### Load with 'datasets'\n\n\nTo load this dataset with 'datasets', you'll just need to install 'datasets' as 'pip install datasets --upgrade' and then use the following code:",
"### Supported Tasks and Leaderboards\n\n\nThis dataset can contain multiple fields, questions and responses so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the Dataset Structure section.\n\n\nThere are no leaderboards associated with this dataset.",
"### Languages\n\n\nDataset Structure\n-----------------",
"### Data in Argilla\n\n\nThe dataset is created in Argilla with: fields, questions, suggestions, and guidelines.\n\n\nThe fields are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.\n\n\n\nThe questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, single choice, or multiple choice.\n\n\n\nNEW Additionally, we also have suggestions, which are linked to the existing questions, and so on, named appending \"-suggestion\" and \"-suggestion-metadata\" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above.\n\n\nFinally, the guidelines are just a plain string that can be used to provide instructions to the annotators. Find those in the annotation guidelines section.",
"### Data Instances\n\n\nAn example of a dataset instance in Argilla looks as follows:\n\n\nWhile the same record in HuggingFace 'datasets' looks as follows:",
"### Data Fields\n\n\nAmong the dataset fields, we differentiate between the following:\n\n\n* Fields: These are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.\n\n\n\t+ question is of type 'TextField'.\n\t+ context is of type 'TextField'.\n* Questions: These are the questions that will be asked to the annotators. They can be of different types, such as 'RatingQuestion', 'TextQuestion', 'LabelQuestion', 'MultiLabelQuestion', and 'RankingQuestion'.\n\n\n\t+ answer is of type 'TextQuestion'.\n* NEW Suggestions: As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.\n\n\n\t+ (optional) answer-suggestion is of type 'text'.\n\n\nAdditionally, we also have one more field which is optional and is the following:\n\n\n* external\\_id: This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.",
"### Data Splits\n\n\nThe dataset contains a single split, which is 'train'.\n\n\nDataset Creation\n----------------",
"### Curation Rationale",
"### Source Data",
"#### Initial Data Collection and Normalization",
"#### Who are the source language producers?",
"### Annotations",
"#### Annotation guidelines",
"#### Annotation process",
"#### Who are the annotators?",
"### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------",
"### Social Impact of Dataset",
"### Discussion of Biases",
"### Other Known Limitations\n\n\nAdditional Information\n----------------------",
"### Dataset Curators",
"### Licensing Information",
"### Contributions"
] |
[
29,
162,
40,
53,
68,
11,
208,
40,
321,
27,
7,
4,
10,
10,
5,
5,
5,
9,
18,
7,
8,
14,
6,
6,
5
] |
[
"passage: TAGS\n#size_categories-10K<n<100K #rlfh #argilla #human-feedback #region-us \n### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible with HuggingFace 'datasets'. These records will be loaded automatically when using 'FeedbackDataset.from\\_huggingface' and can be loaded independently using the 'datasets' library via 'load\\_dataset'.\n* The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.### Load with Argilla\n\n\nTo load with Argilla, you'll just need to install Argilla as 'pip install argilla --upgrade' and then use the following code:### Load with 'datasets'\n\n\nTo load this dataset with 'datasets', you'll just need to install 'datasets' as 'pip install datasets --upgrade' and then use the following code:### Supported Tasks and Leaderboards\n\n\nThis dataset can contain multiple fields, questions and responses so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the Dataset Structure section.\n\n\nThere are no leaderboards associated with this dataset.### Languages\n\n\nDataset Structure\n-----------------"
] |
bc086899739800f9c8841e3a6d0c168d85be8201
|
# Dataset Card for squad_v2
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
## Dataset Description
- **Homepage:** https://argilla.io
- **Repository:** https://github.com/argilla-io/argilla
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset contains:
* A dataset configuration file conforming to the Argilla dataset format named `argilla.yaml`. This configuration file will be used to configure the dataset when using the `FeedbackDataset.from_huggingface` method in Argilla.
* Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `FeedbackDataset.from_huggingface` and can be loaded independently using the `datasets` library via `load_dataset`.
* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
### Load with Argilla
To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
```python
import argilla as rg
ds = rg.FeedbackDataset.from_huggingface("argilla/squad_v2")
```
### Load with `datasets`
To load this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code:
```python
from datasets import load_dataset
ds = load_dataset("argilla/squad_v2")
```
### Supported Tasks and Leaderboards
This dataset can contain [multiple fields, questions and responses](https://docs.argilla.io/en/latest/guides/llms/conceptual_guides/data_model.html) so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the [Dataset Structure section](#dataset-structure).
There are no leaderboards associated with this dataset.
### Languages
[More Information Needed]
## Dataset Structure
### Data in Argilla
The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, and **guidelines**.
The **fields** are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
| Field Name | Title | Type | Required | Markdown |
| ---------- | ----- | ---- | -------- | -------- |
| question | Question | TextField | True | False |
| context | Context | TextField | True | False |
The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, single choice, or multiple choice.
| Question Name | Title | Type | Required | Description | Values/Labels |
| ------------- | ----- | ---- | -------- | ----------- | ------------- |
| answer | Answer | TextQuestion | True | N/A | N/A |
**✨ NEW** Additionally, we also have **suggestions**, which are linked to the existing questions, and so on, named appending "-suggestion" and "-suggestion-metadata" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above.
Finally, the **guidelines** are just a plain string that can be used to provide instructions to the annotators. Find those in the [annotation guidelines](#annotation-guidelines) section.
### Data Instances
An example of a dataset instance in Argilla looks as follows:
```json
{
"fields": {
"context": "Beyonc\u00e9 Giselle Knowles-Carter (/bi\u02d0\u02c8j\u0252nse\u026a/ bee-YON-say) (born September 4, 1981) is an American singer, songwriter, record producer and actress. Born and raised in Houston, Texas, she performed in various singing and dancing competitions as a child, and rose to fame in the late 1990s as lead singer of R\u0026B girl-group Destiny\u0027s Child. Managed by her father, Mathew Knowles, the group became one of the world\u0027s best-selling girl groups of all time. Their hiatus saw the release of Beyonc\u00e9\u0027s debut album, Dangerously in Love (2003), which established her as a solo artist worldwide, earned five Grammy Awards and featured the Billboard Hot 100 number-one singles \"Crazy in Love\" and \"Baby Boy\".",
"question": "When did Beyonce start becoming popular?"
},
"metadata": {
"split": "train"
},
"responses": [
{
"status": "submitted",
"values": {
"answer": {
"value": "in the late 1990s"
}
}
}
],
"suggestions": []
}
```
While the same record in HuggingFace `datasets` looks as follows:
```json
{
"answer": [
{
"status": "submitted",
"user_id": null,
"value": "in the late 1990s"
}
],
"answer-suggestion": null,
"answer-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
},
"context": "Beyonc\u00e9 Giselle Knowles-Carter (/bi\u02d0\u02c8j\u0252nse\u026a/ bee-YON-say) (born September 4, 1981) is an American singer, songwriter, record producer and actress. Born and raised in Houston, Texas, she performed in various singing and dancing competitions as a child, and rose to fame in the late 1990s as lead singer of R\u0026B girl-group Destiny\u0027s Child. Managed by her father, Mathew Knowles, the group became one of the world\u0027s best-selling girl groups of all time. Their hiatus saw the release of Beyonc\u00e9\u0027s debut album, Dangerously in Love (2003), which established her as a solo artist worldwide, earned five Grammy Awards and featured the Billboard Hot 100 number-one singles \"Crazy in Love\" and \"Baby Boy\".",
"external_id": null,
"metadata": "{\"split\": \"train\"}",
"question": "When did Beyonce start becoming popular?"
}
```
### Data Fields
Among the dataset fields, we differentiate between the following:
* **Fields:** These are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
* **question** is of type `TextField`.
* **context** is of type `TextField`.
* **Questions:** These are the questions that will be asked to the annotators. They can be of different types, such as `RatingQuestion`, `TextQuestion`, `LabelQuestion`, `MultiLabelQuestion`, and `RankingQuestion`.
* **answer** is of type `TextQuestion`.
* **✨ NEW** **Suggestions:** As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.
* (optional) **answer-suggestion** is of type `text`.
Additionally, we also have one more field which is optional and is the following:
* **external_id:** This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.
### Data Splits
The dataset contains a single split, which is `train`.
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation guidelines
[More Information Needed]
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed]
|
argilla/squad_v2
|
[
"size_categories:10K<n<100K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] |
2023-09-10T19:41:10+00:00
|
{"size_categories": "10K<n<100K", "tags": ["rlfh", "argilla", "human-feedback"]}
|
2023-09-10T19:50:44+00:00
|
[] |
[] |
TAGS
#size_categories-10K<n<100K #rlfh #argilla #human-feedback #region-us
|
Dataset Card for squad\_v2
==========================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper:
* Leaderboard:
* Point of Contact:
### Dataset Summary
This dataset contains:
* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\_huggingface' method in Argilla.
* Dataset records in a format compatible with HuggingFace 'datasets'. These records will be loaded automatically when using 'FeedbackDataset.from\_huggingface' and can be loaded independently using the 'datasets' library via 'load\_dataset'.
* The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.
### Load with Argilla
To load with Argilla, you'll just need to install Argilla as 'pip install argilla --upgrade' and then use the following code:
### Load with 'datasets'
To load this dataset with 'datasets', you'll just need to install 'datasets' as 'pip install datasets --upgrade' and then use the following code:
### Supported Tasks and Leaderboards
This dataset can contain multiple fields, questions and responses so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the Dataset Structure section.
There are no leaderboards associated with this dataset.
### Languages
Dataset Structure
-----------------
### Data in Argilla
The dataset is created in Argilla with: fields, questions, suggestions, and guidelines.
The fields are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
The questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, single choice, or multiple choice.
NEW Additionally, we also have suggestions, which are linked to the existing questions, and so on, named appending "-suggestion" and "-suggestion-metadata" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above.
Finally, the guidelines are just a plain string that can be used to provide instructions to the annotators. Find those in the annotation guidelines section.
### Data Instances
An example of a dataset instance in Argilla looks as follows:
While the same record in HuggingFace 'datasets' looks as follows:
### Data Fields
Among the dataset fields, we differentiate between the following:
* Fields: These are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
+ question is of type 'TextField'.
+ context is of type 'TextField'.
* Questions: These are the questions that will be asked to the annotators. They can be of different types, such as 'RatingQuestion', 'TextQuestion', 'LabelQuestion', 'MultiLabelQuestion', and 'RankingQuestion'.
+ answer is of type 'TextQuestion'.
* NEW Suggestions: As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.
+ (optional) answer-suggestion is of type 'text'.
Additionally, we also have one more field which is optional and is the following:
* external\_id: This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.
### Data Splits
The dataset contains a single split, which is 'train'.
Dataset Creation
----------------
### Curation Rationale
### Source Data
#### Initial Data Collection and Normalization
#### Who are the source language producers?
### Annotations
#### Annotation guidelines
#### Annotation process
#### Who are the annotators?
### Personal and Sensitive Information
Considerations for Using the Data
---------------------------------
### Social Impact of Dataset
### Discussion of Biases
### Other Known Limitations
Additional Information
----------------------
### Dataset Curators
### Licensing Information
### Contributions
|
[
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible with HuggingFace 'datasets'. These records will be loaded automatically when using 'FeedbackDataset.from\\_huggingface' and can be loaded independently using the 'datasets' library via 'load\\_dataset'.\n* The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.",
"### Load with Argilla\n\n\nTo load with Argilla, you'll just need to install Argilla as 'pip install argilla --upgrade' and then use the following code:",
"### Load with 'datasets'\n\n\nTo load this dataset with 'datasets', you'll just need to install 'datasets' as 'pip install datasets --upgrade' and then use the following code:",
"### Supported Tasks and Leaderboards\n\n\nThis dataset can contain multiple fields, questions and responses so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the Dataset Structure section.\n\n\nThere are no leaderboards associated with this dataset.",
"### Languages\n\n\nDataset Structure\n-----------------",
"### Data in Argilla\n\n\nThe dataset is created in Argilla with: fields, questions, suggestions, and guidelines.\n\n\nThe fields are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.\n\n\n\nThe questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, single choice, or multiple choice.\n\n\n\nNEW Additionally, we also have suggestions, which are linked to the existing questions, and so on, named appending \"-suggestion\" and \"-suggestion-metadata\" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above.\n\n\nFinally, the guidelines are just a plain string that can be used to provide instructions to the annotators. Find those in the annotation guidelines section.",
"### Data Instances\n\n\nAn example of a dataset instance in Argilla looks as follows:\n\n\nWhile the same record in HuggingFace 'datasets' looks as follows:",
"### Data Fields\n\n\nAmong the dataset fields, we differentiate between the following:\n\n\n* Fields: These are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.\n\n\n\t+ question is of type 'TextField'.\n\t+ context is of type 'TextField'.\n* Questions: These are the questions that will be asked to the annotators. They can be of different types, such as 'RatingQuestion', 'TextQuestion', 'LabelQuestion', 'MultiLabelQuestion', and 'RankingQuestion'.\n\n\n\t+ answer is of type 'TextQuestion'.\n* NEW Suggestions: As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.\n\n\n\t+ (optional) answer-suggestion is of type 'text'.\n\n\nAdditionally, we also have one more field which is optional and is the following:\n\n\n* external\\_id: This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.",
"### Data Splits\n\n\nThe dataset contains a single split, which is 'train'.\n\n\nDataset Creation\n----------------",
"### Curation Rationale",
"### Source Data",
"#### Initial Data Collection and Normalization",
"#### Who are the source language producers?",
"### Annotations",
"#### Annotation guidelines",
"#### Annotation process",
"#### Who are the annotators?",
"### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------",
"### Social Impact of Dataset",
"### Discussion of Biases",
"### Other Known Limitations\n\n\nAdditional Information\n----------------------",
"### Dataset Curators",
"### Licensing Information",
"### Contributions"
] |
[
"TAGS\n#size_categories-10K<n<100K #rlfh #argilla #human-feedback #region-us \n",
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible with HuggingFace 'datasets'. These records will be loaded automatically when using 'FeedbackDataset.from\\_huggingface' and can be loaded independently using the 'datasets' library via 'load\\_dataset'.\n* The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.",
"### Load with Argilla\n\n\nTo load with Argilla, you'll just need to install Argilla as 'pip install argilla --upgrade' and then use the following code:",
"### Load with 'datasets'\n\n\nTo load this dataset with 'datasets', you'll just need to install 'datasets' as 'pip install datasets --upgrade' and then use the following code:",
"### Supported Tasks and Leaderboards\n\n\nThis dataset can contain multiple fields, questions and responses so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the Dataset Structure section.\n\n\nThere are no leaderboards associated with this dataset.",
"### Languages\n\n\nDataset Structure\n-----------------",
"### Data in Argilla\n\n\nThe dataset is created in Argilla with: fields, questions, suggestions, and guidelines.\n\n\nThe fields are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.\n\n\n\nThe questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, single choice, or multiple choice.\n\n\n\nNEW Additionally, we also have suggestions, which are linked to the existing questions, and so on, named appending \"-suggestion\" and \"-suggestion-metadata\" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above.\n\n\nFinally, the guidelines are just a plain string that can be used to provide instructions to the annotators. Find those in the annotation guidelines section.",
"### Data Instances\n\n\nAn example of a dataset instance in Argilla looks as follows:\n\n\nWhile the same record in HuggingFace 'datasets' looks as follows:",
"### Data Fields\n\n\nAmong the dataset fields, we differentiate between the following:\n\n\n* Fields: These are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.\n\n\n\t+ question is of type 'TextField'.\n\t+ context is of type 'TextField'.\n* Questions: These are the questions that will be asked to the annotators. They can be of different types, such as 'RatingQuestion', 'TextQuestion', 'LabelQuestion', 'MultiLabelQuestion', and 'RankingQuestion'.\n\n\n\t+ answer is of type 'TextQuestion'.\n* NEW Suggestions: As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.\n\n\n\t+ (optional) answer-suggestion is of type 'text'.\n\n\nAdditionally, we also have one more field which is optional and is the following:\n\n\n* external\\_id: This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.",
"### Data Splits\n\n\nThe dataset contains a single split, which is 'train'.\n\n\nDataset Creation\n----------------",
"### Curation Rationale",
"### Source Data",
"#### Initial Data Collection and Normalization",
"#### Who are the source language producers?",
"### Annotations",
"#### Annotation guidelines",
"#### Annotation process",
"#### Who are the annotators?",
"### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------",
"### Social Impact of Dataset",
"### Discussion of Biases",
"### Other Known Limitations\n\n\nAdditional Information\n----------------------",
"### Dataset Curators",
"### Licensing Information",
"### Contributions"
] |
[
29,
162,
40,
53,
68,
11,
208,
40,
321,
27,
7,
4,
10,
10,
5,
5,
5,
9,
18,
7,
8,
14,
6,
6,
5
] |
[
"passage: TAGS\n#size_categories-10K<n<100K #rlfh #argilla #human-feedback #region-us \n### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible with HuggingFace 'datasets'. These records will be loaded automatically when using 'FeedbackDataset.from\\_huggingface' and can be loaded independently using the 'datasets' library via 'load\\_dataset'.\n* The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.### Load with Argilla\n\n\nTo load with Argilla, you'll just need to install Argilla as 'pip install argilla --upgrade' and then use the following code:### Load with 'datasets'\n\n\nTo load this dataset with 'datasets', you'll just need to install 'datasets' as 'pip install datasets --upgrade' and then use the following code:### Supported Tasks and Leaderboards\n\n\nThis dataset can contain multiple fields, questions and responses so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the Dataset Structure section.\n\n\nThere are no leaderboards associated with this dataset.### Languages\n\n\nDataset Structure\n-----------------"
] |
9c636ca3d25486fb6bb1ca1aa94ba847aefff023
|
This dataset contains the submissions for reviewing requests in the [**Nt3awnou Map**](https://huggingface.co/spaces/nt3awnou/Nt3awnou-rescue-map). Each request is a single file containing the id and review reason given by the user.
|
nt3awnou/review_requests
|
[
"region:us"
] |
2023-09-10T19:42:47+00:00
|
{"pretty_name": "review requests"}
|
2023-09-14T14:42:46+00:00
|
[] |
[] |
TAGS
#region-us
|
This dataset contains the submissions for reviewing requests in the Nt3awnou Map. Each request is a single file containing the id and review reason given by the user.
|
[] |
[
"TAGS\n#region-us \n"
] |
[
6
] |
[
"passage: TAGS\n#region-us \n"
] |
d7e9fb2de83d41ec60bad56652dcfba4058ea12f
|
# Dataset Card for "gia-dataset-tokenized-debug3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
edbeeching/gia-dataset-tokenized-debug3
|
[
"region:us"
] |
2023-09-10T19:55:46+00:00
|
{"dataset_info": [{"config_name": "atari-alien", "features": [{"name": "patch_positions", "sequence": {"sequence": {"sequence": "float64"}}}, {"name": "loss_mask", "sequence": "bool"}, {"name": "patches", "sequence": {"sequence": {"sequence": {"sequence": "uint8"}}}}, {"name": "input_ids", "sequence": "int32"}, {"name": "local_positions", "sequence": "int64"}, {"name": "input_types", "sequence": "int64"}, {"name": "attention_mask", "sequence": "bool"}], "splits": [{"name": "test", "num_bytes": 529255424, "num_examples": 400}, {"name": "train", "num_bytes": 381345596, "num_examples": 289}], "download_size": 73985248, "dataset_size": 910601020}, {"config_name": "atari-breakout", "features": [{"name": "patch_positions", "sequence": {"sequence": {"sequence": "float64"}}}, {"name": "loss_mask", "sequence": "bool"}, {"name": "patches", "sequence": {"sequence": {"sequence": {"sequence": "uint8"}}}}, {"name": "input_ids", "sequence": "int32"}, {"name": "local_positions", "sequence": "int64"}, {"name": "input_types", "sequence": "int64"}, {"name": "attention_mask", "sequence": "bool"}], "splits": [{"name": "test", "num_bytes": 834912548, "num_examples": 631}, {"name": "train", "num_bytes": 472269128, "num_examples": 358}], "download_size": 41674307, "dataset_size": 1307181676}, {"config_name": "mujoco-ant", "features": [{"name": "input_types", "sequence": "int64"}, {"name": "loss_mask", "sequence": "bool"}, {"name": "input_ids", "sequence": "int32"}, {"name": "local_positions", "sequence": "int64"}, {"name": "attention_mask", "sequence": "bool"}], "splits": [{"name": "test", "num_bytes": 2059688, "num_examples": 98}, {"name": "train", "num_bytes": 2837132, "num_examples": 135}], "download_size": 320515, "dataset_size": 4896820}], "configs": [{"config_name": "atari-alien", "data_files": [{"split": "test", "path": "atari-alien/test-*"}, {"split": "train", "path": "atari-alien/train-*"}]}, {"config_name": "atari-breakout", "data_files": [{"split": "test", "path": "atari-breakout/test-*"}, {"split": "train", "path": "atari-breakout/train-*"}]}, {"config_name": "mujoco-ant", "data_files": [{"split": "test", "path": "mujoco-ant/test-*"}, {"split": "train", "path": "mujoco-ant/train-*"}]}]}
|
2023-09-11T05:41:08+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "gia-dataset-tokenized-debug3"
More Information needed
|
[
"# Dataset Card for \"gia-dataset-tokenized-debug3\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"gia-dataset-tokenized-debug3\"\n\nMore Information needed"
] |
[
6,
22
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"gia-dataset-tokenized-debug3\"\n\nMore Information needed"
] |
4445c6221843984bf6e03afb8d9c3dcc64cebb1d
|
# Dataset of mitsumine_yuika/三峰結華/미츠미네유이카 (THE iDOLM@STER: SHINY COLORS)
This is the dataset of mitsumine_yuika/三峰結華/미츠미네유이카 (THE iDOLM@STER: SHINY COLORS), containing 409 images and their tags.
The core tags of this character are `black_hair, long_hair, blue_eyes, glasses, twintails, bangs, hat`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:-----------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 409 | 543.57 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mitsumine_yuika_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 409 | 317.61 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mitsumine_yuika_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 978 | 673.88 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mitsumine_yuika_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 409 | 481.23 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mitsumine_yuika_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 978 | 958.33 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mitsumine_yuika_theidolmstershinycolors/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/mitsumine_yuika_theidolmstershinycolors',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 23 |  |  |  |  |  | 1girl, jacket, solo, looking_at_viewer, baseball_cap, long_sleeves, shirt, black-framed_eyewear, simple_background, skirt, black_headwear, blush, white_background, grin, upper_body |
| 1 | 6 |  |  |  |  |  | 1girl, looking_at_viewer, simple_background, solo, white_background, beret, black-framed_eyewear, blazer, blue_jacket, blush, bowtie, choker, collarbone, red_headwear, smile, sweater, upper_body, closed_mouth, long_sleeves, school_uniform, white_shirt |
| 2 | 10 |  |  |  |  |  | 1girl, baseball_cap, long_sleeves, pink_jacket, round_eyewear, white_shirt, looking_at_viewer, solo, black_headwear, open_jacket, smile, clothes_writing, denim_shorts, yellow-framed_eyewear, blue_shorts, blush, bracelet, hoop_earrings, nail_polish, short_shorts, upper_body, very_long_hair |
| 3 | 5 |  |  |  |  |  | baseball_cap, black_headwear, collarbone, necklace, short_sleeves, 1girl, blush, looking_at_viewer, solo, upper_body, white_background, white_shirt, wristband, bare_shoulders, grin, simple_background, adjusting_eyewear, hand_up, off-shoulder_shirt, sidelocks |
| 4 | 5 |  |  |  |  |  | 1girl, baseball_cap, hood_down, long_sleeves, solo, white_headwear, white_hoodie, blush, closed_mouth, clothes_writing, drawstring, green_skirt, looking_at_viewer, simple_background, camera, white_background, arm_up, brown-framed_eyewear, hair_ornament, hoop_earrings, smile |
| 5 | 6 |  |  |  |  |  | 1girl, baseball_cap, smile, solo, white_headwear, clothes_writing, hair_ornament, hood_down, hoop_earrings, long_sleeves, looking_at_viewer, white_hoodie, blush, brown-framed_eyewear, drawstring, holding_camera, open_mouth, blurry_background, green_skirt |
| 6 | 5 |  |  |  |  |  | 2girls, :d, blush, long_sleeves, open_mouth, shirt, solo_focus, black-framed_eyewear, black_headwear, black_jacket, open_clothes, baseball_cap, upper_body |
| 7 | 27 |  |  |  |  |  | 1girl, looking_at_viewer, solo, smile, blush, cleavage, navel, earrings, collarbone, blue_bikini, choker, medium_breasts, frilled_bikini, closed_mouth, water, open_mouth, outdoors |
| 8 | 12 |  |  |  |  |  | monocle, smile, black_gloves, 1girl, detached_sleeves, dress, looking_at_viewer, bare_shoulders, gears, corset, solo, collarbone, hair_ornament, mini_top_hat, open_mouth, pocket_watch, purple_bow, short_sleeves, thighhighs, frills, one_eye_closed, garter_straps, standing, steampunk, strapless, striped |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | jacket | solo | looking_at_viewer | baseball_cap | long_sleeves | shirt | black-framed_eyewear | simple_background | skirt | black_headwear | blush | white_background | grin | upper_body | beret | blazer | blue_jacket | bowtie | choker | collarbone | red_headwear | smile | sweater | closed_mouth | school_uniform | white_shirt | pink_jacket | round_eyewear | open_jacket | clothes_writing | denim_shorts | yellow-framed_eyewear | blue_shorts | bracelet | hoop_earrings | nail_polish | short_shorts | very_long_hair | necklace | short_sleeves | wristband | bare_shoulders | adjusting_eyewear | hand_up | off-shoulder_shirt | sidelocks | hood_down | white_headwear | white_hoodie | drawstring | green_skirt | camera | arm_up | brown-framed_eyewear | hair_ornament | holding_camera | open_mouth | blurry_background | 2girls | :d | solo_focus | black_jacket | open_clothes | cleavage | navel | earrings | blue_bikini | medium_breasts | frilled_bikini | water | outdoors | monocle | black_gloves | detached_sleeves | dress | gears | corset | mini_top_hat | pocket_watch | purple_bow | thighhighs | frills | one_eye_closed | garter_straps | standing | steampunk | strapless | striped |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------|:-------|:--------------------|:---------------|:---------------|:--------|:-----------------------|:--------------------|:--------|:-----------------|:--------|:-------------------|:-------|:-------------|:--------|:---------|:--------------|:---------|:---------|:-------------|:---------------|:--------|:----------|:---------------|:-----------------|:--------------|:--------------|:----------------|:--------------|:------------------|:---------------|:------------------------|:--------------|:-----------|:----------------|:--------------|:---------------|:-----------------|:-----------|:----------------|:------------|:-----------------|:--------------------|:----------|:---------------------|:------------|:------------|:-----------------|:---------------|:-------------|:--------------|:---------|:---------|:-----------------------|:----------------|:-----------------|:-------------|:--------------------|:---------|:-----|:-------------|:---------------|:---------------|:-----------|:--------|:-----------|:--------------|:-----------------|:-----------------|:--------|:-----------|:----------|:---------------|:-------------------|:--------|:--------|:---------|:---------------|:---------------|:-------------|:-------------|:---------|:-----------------|:----------------|:-----------|:------------|:------------|:----------|
| 0 | 23 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 6 |  |  |  |  |  | X | | X | X | | X | | X | X | | | X | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 10 |  |  |  |  |  | X | | X | X | X | X | | | | | X | X | | | X | | | | | | | | X | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 5 |  |  |  |  |  | X | | X | X | X | | | | X | | X | X | X | X | X | | | | | | X | | | | | | X | | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | | X | X | X | X | | | X | | | X | X | | | | | | | | | | X | | X | | | | | | X | | | | | X | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 6 |  |  |  |  |  | X | | X | X | X | X | | | | | | X | | | | | | | | | | | X | | | | | | | | X | | | | | X | | | | | | | | | | | | X | X | X | X | X | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | | | | | X | X | X | X | | | X | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 27 |  |  |  |  |  | X | | X | X | | | | | | | | X | | | | | | | | X | X | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | |
| 8 | 12 |  |  |  |  |  | X | | X | X | | | | | | | | | | | | | | | | | X | | X | | | | | | | | | | | | | | | | | | X | | X | | | | | | | | | | | | | X | | X | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/mitsumine_yuika_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T20:07:30+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T07:08:50+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of mitsumine\_yuika/三峰結華/미츠미네유이카 (THE iDOLM@STER: SHINY COLORS)
=======================================================================
This is the dataset of mitsumine\_yuika/三峰結華/미츠미네유이카 (THE iDOLM@STER: SHINY COLORS), containing 409 images and their tags.
The core tags of this character are 'black\_hair, long\_hair, blue\_eyes, glasses, twintails, bangs, hat', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
f67d5d41a71a97190ebc8d79082876524cf51047
|
# Dataset of elisabeth_bathory_halloween/エリザベート・バートリー〔ハロウィン〕/伊丽莎白·巴托里〔万圣节〕 (Fate/Grand Order)
This is the dataset of elisabeth_bathory_halloween/エリザベート・バートリー〔ハロウィン〕/伊丽莎白·巴托里〔万圣节〕 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `pink_hair, long_hair, blue_eyes, pointy_ears, horns, tail, dragon_horns, bangs, dragon_tail, curled_horns, dragon_girl, ribbon, two_side_up, breasts, small_breasts`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:---------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 769.89 MiB | [Download](https://huggingface.co/datasets/CyberHarem/elisabeth_bathory_halloween_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 430.20 MiB | [Download](https://huggingface.co/datasets/CyberHarem/elisabeth_bathory_halloween_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1278 | 945.87 MiB | [Download](https://huggingface.co/datasets/CyberHarem/elisabeth_bathory_halloween_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 678.20 MiB | [Download](https://huggingface.co/datasets/CyberHarem/elisabeth_bathory_halloween_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1278 | 1.31 GiB | [Download](https://huggingface.co/datasets/CyberHarem/elisabeth_bathory_halloween_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/elisabeth_bathory_halloween_fgo',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 6 |  |  |  |  |  | 1girl, :d, bare_shoulders, blush, corset, detached_sleeves, hair_ribbon, looking_at_viewer, open_mouth, plaid_skirt, solo, fang, simple_background, white_background |
| 1 | 13 |  |  |  |  |  | 1girl, detached_sleeves, looking_at_viewer, open_mouth, smile, solo, blush, plaid_skirt, ;d, holding_microphone, one_eye_closed, fang, corset, microphone_stand, heart, tail_ornament |
| 2 | 5 |  |  |  |  |  | 1girl, detached_sleeves, looking_at_viewer, simple_background, solo, white_background, open_mouth, :d, black_dress, fang, holding_microphone |
| 3 | 6 |  |  |  |  |  | 1girl, detached_sleeves, looking_at_viewer, smile, solo, black_dress, closed_mouth, blush |
| 4 | 5 |  |  |  |  |  | 1girl, detached_sleeves, hair_between_eyes, looking_at_viewer, official_alternate_costume, solo, holding_umbrella, long_sleeves, oil-paper_umbrella, open_mouth, purple_kimono, wide_sleeves, :d, blush, hair_ribbon, purple_umbrella, streaked_hair, v-shaped_eyebrows, black_sleeves, bow, hair_scrunchie, oni_horns, purple_dress, purple_scrunchie, purple_sleeves, sidelocks, skin_fang, sleeveless_kimono, sleeves_past_wrists, very_long_hair, white_hair, wings |
| 5 | 14 |  |  |  |  |  | 1girl, detached_sleeves, dress_flower, hat_flower, holding_microphone, looking_at_viewer, solo, striped_headwear, top_hat, vertical-striped_dress, blush, frilled_dress, hair_between_eyes, microphone_stand, pink_dress, pink_headwear, pink_rose, pig, sleeveless_dress, long_sleeves, open_mouth, layered_dress, simple_background, white_background, :d, fang, squirrel, wrist_cuffs, earrings, polka_dot_dress, very_long_hair, animal, v-shaped_eyebrows |
| 6 | 13 |  |  |  |  |  | 1girl, solo, witch_hat, looking_at_viewer, detached_sleeves, jack-o'-lantern, vertical-striped_dress, choker, earrings, open_mouth, :d, pumpkin, star_print, bat_wings, black_thighhighs, fang, halloween_costume, blush, demon_tail, holding, horns_through_headwear, polearm |
| 7 | 7 |  |  |  |  |  | 1girl, blush, collarbone, looking_at_viewer, solo, white_bikini, frilled_bikini, hair_ribbon, navel, simple_background, white_background, smile, ;d, closed_mouth, fang, official_alternate_costume, one_eye_closed, open_mouth |
| 8 | 6 |  |  |  |  |  | 1girl, bikini_armor, black_thighhighs, hair_ribbon, navel, oversized_clothes, red_bikini, solo, tiara, vambraces, white_background, blush, looking_at_viewer, pauldrons, red_armor, silver_trim, simple_background, white_cape, hair_between_eyes, armored_boots, blue_ribbon, closed_mouth, gauntlets, purple_ribbon, red_choker, very_long_hair |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | :d | bare_shoulders | blush | corset | detached_sleeves | hair_ribbon | looking_at_viewer | open_mouth | plaid_skirt | solo | fang | simple_background | white_background | smile | ;d | holding_microphone | one_eye_closed | microphone_stand | heart | tail_ornament | black_dress | closed_mouth | hair_between_eyes | official_alternate_costume | holding_umbrella | long_sleeves | oil-paper_umbrella | purple_kimono | wide_sleeves | purple_umbrella | streaked_hair | v-shaped_eyebrows | black_sleeves | bow | hair_scrunchie | oni_horns | purple_dress | purple_scrunchie | purple_sleeves | sidelocks | skin_fang | sleeveless_kimono | sleeves_past_wrists | very_long_hair | white_hair | wings | dress_flower | hat_flower | striped_headwear | top_hat | vertical-striped_dress | frilled_dress | pink_dress | pink_headwear | pink_rose | pig | sleeveless_dress | layered_dress | squirrel | wrist_cuffs | earrings | polka_dot_dress | animal | witch_hat | jack-o'-lantern | choker | pumpkin | star_print | bat_wings | black_thighhighs | halloween_costume | demon_tail | holding | horns_through_headwear | polearm | collarbone | white_bikini | frilled_bikini | navel | bikini_armor | oversized_clothes | red_bikini | tiara | vambraces | pauldrons | red_armor | silver_trim | white_cape | armored_boots | blue_ribbon | gauntlets | purple_ribbon | red_choker |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----|:-----------------|:--------|:---------|:-------------------|:--------------|:--------------------|:-------------|:--------------|:-------|:-------|:--------------------|:-------------------|:--------|:-----|:---------------------|:-----------------|:-------------------|:--------|:----------------|:--------------|:---------------|:--------------------|:-----------------------------|:-------------------|:---------------|:---------------------|:----------------|:---------------|:------------------|:----------------|:--------------------|:----------------|:------|:-----------------|:------------|:---------------|:-------------------|:-----------------|:------------|:------------|:--------------------|:----------------------|:-----------------|:-------------|:--------|:---------------|:-------------|:-------------------|:----------|:-------------------------|:----------------|:-------------|:----------------|:------------|:------|:-------------------|:----------------|:-----------|:--------------|:-----------|:------------------|:---------|:------------|:------------------|:---------|:----------|:-------------|:------------|:-------------------|:--------------------|:-------------|:----------|:-------------------------|:----------|:-------------|:---------------|:-----------------|:--------|:---------------|:--------------------|:-------------|:--------|:------------|:------------|:------------|:--------------|:-------------|:----------------|:--------------|:------------|:----------------|:-------------|
| 0 | 6 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 13 |  |  |  |  |  | X | | | X | X | X | | X | X | X | X | X | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | X | | | | X | | X | X | | X | X | X | X | | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 6 |  |  |  |  |  | X | | | X | | X | | X | | | X | | | | X | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | X | | X | | X | X | X | X | | X | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 14 |  |  |  |  |  | X | X | | X | | X | | X | X | | X | X | X | X | | | X | | X | | | | | X | | | X | | | | | | X | | | | | | | | | | | | X | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 13 |  |  |  |  |  | X | X | | X | | X | | X | X | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | X | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | |
| 7 | 7 |  |  |  |  |  | X | | | X | | | X | X | X | | X | X | X | X | X | X | | X | | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | | | | | | | | | | | | | | |
| 8 | 6 |  |  |  |  |  | X | | | X | | | X | X | | | X | | X | X | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/elisabeth_bathory_halloween_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T20:07:40+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-13T08:23:10+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of elisabeth\_bathory\_halloween/エリザベート・バートリー〔ハロウィン〕/伊丽莎白·巴托里〔万圣节〕 (Fate/Grand Order)
=============================================================================================
This is the dataset of elisabeth\_bathory\_halloween/エリザベート・バートリー〔ハロウィン〕/伊丽莎白·巴托里〔万圣节〕 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'pink\_hair, long\_hair, blue\_eyes, pointy\_ears, horns, tail, dragon\_horns, bangs, dragon\_tail, curled\_horns, dragon\_girl, ribbon, two\_side\_up, breasts, small\_breasts', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
dbe0147303159a5b1d59cffbcb1d3a739c56f2eb
|
# Dataset Card for "czech-justice-summ-alpaca-long"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
hynky/czech-justice-summ-alpaca-long
|
[
"region:us"
] |
2023-09-10T20:24:04+00:00
|
{"dataset_info": {"features": [{"name": "output", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 26403302, "num_examples": 4560}], "download_size": 12636847, "dataset_size": 26403302}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-10T20:24:17+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "czech-justice-summ-alpaca-long"
More Information needed
|
[
"# Dataset Card for \"czech-justice-summ-alpaca-long\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"czech-justice-summ-alpaca-long\"\n\nMore Information needed"
] |
[
6,
23
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"czech-justice-summ-alpaca-long\"\n\nMore Information needed"
] |
a5e4a57e8d11cb29555862e709f6f88e1e4dd893
|
# Dataset Card for "czech-justice-summ-alpaca-short"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
hynky/czech-justice-summ-alpaca-short
|
[
"region:us"
] |
2023-09-10T20:25:10+00:00
|
{"dataset_info": {"features": [{"name": "output", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4856971, "num_examples": 2015}], "download_size": 2389930, "dataset_size": 4856971}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-10T20:25:17+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "czech-justice-summ-alpaca-short"
More Information needed
|
[
"# Dataset Card for \"czech-justice-summ-alpaca-short\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"czech-justice-summ-alpaca-short\"\n\nMore Information needed"
] |
[
6,
23
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"czech-justice-summ-alpaca-short\"\n\nMore Information needed"
] |
abc436d83f9b5cec63510acc3308446d37cc12b4
|
# Dataset Card for "higgs-normalized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
jxie/higgs-normalized
|
[
"region:us"
] |
2023-09-10T20:25:20+00:00
|
{"dataset_info": {"features": [{"name": "label", "dtype": "float64"}, {"name": "inputs", "sequence": "float64"}], "splits": [{"name": "train", "num_bytes": 2478000000, "num_examples": 10500000}, {"name": "test", "num_bytes": 118000000, "num_examples": 500000}, {"name": "train_1k", "num_bytes": 236000, "num_examples": 1000}, {"name": "train_10k", "num_bytes": 2360000, "num_examples": 10000}, {"name": "train_100k", "num_bytes": 23600000, "num_examples": 100000}], "download_size": 2144173073, "dataset_size": 2622196000}}
|
2023-09-12T23:55:35+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "higgs-normalized"
More Information needed
|
[
"# Dataset Card for \"higgs-normalized\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"higgs-normalized\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"higgs-normalized\"\n\nMore Information needed"
] |
aea5ebc91f044c7c1ba7c4061eeeb188b8163a41
|
# Dataset Card for "maltaomics_dataset_normalized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
roa7n/maltaomics_dataset_normalized
|
[
"region:us"
] |
2023-09-10T20:37:43+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "seq", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "features", "dtype": "string"}, {"name": "0", "dtype": "float64"}, {"name": "1", "dtype": "float64"}, {"name": "2", "dtype": "float64"}, {"name": "3", "dtype": "float64"}, {"name": "4", "dtype": "float64"}, {"name": "5", "dtype": "float64"}, {"name": "6", "dtype": "float64"}, {"name": "7", "dtype": "float64"}, {"name": "8", "dtype": "float64"}, {"name": "9", "dtype": "float64"}, {"name": "10", "dtype": "float64"}, {"name": "11", "dtype": "float64"}, {"name": "12", "dtype": "float64"}, {"name": "13", "dtype": "float64"}, {"name": "14", "dtype": "float64"}, {"name": "15", "dtype": "float64"}, {"name": "16", "dtype": "float64"}, {"name": "17", "dtype": "float64"}, {"name": "18", "dtype": "float64"}, {"name": "19", "dtype": "float64"}, {"name": "20", "dtype": "float64"}, {"name": "21", "dtype": "float64"}, {"name": "22", "dtype": "float64"}, {"name": "23", "dtype": "float64"}, {"name": "24", "dtype": "float64"}, {"name": "25", "dtype": "float64"}, {"name": "26", "dtype": "float64"}, {"name": "27", "dtype": "float64"}, {"name": "28", "dtype": "float64"}, {"name": "29", "dtype": "float64"}, {"name": "30", "dtype": "float64"}, {"name": "31", "dtype": "float64"}, {"name": "32", "dtype": "float64"}, {"name": "33", "dtype": "float64"}, {"name": "34", "dtype": "float64"}, {"name": "35", "dtype": "float64"}, {"name": "36", "dtype": "float64"}, {"name": "37", "dtype": "float64"}, {"name": "38", "dtype": "float64"}, {"name": "39", "dtype": "float64"}, {"name": "40", "dtype": "float64"}, {"name": "41", "dtype": "float64"}, {"name": "42", "dtype": "float64"}, {"name": "43", "dtype": "float64"}, {"name": "44", "dtype": "float64"}, {"name": "45", "dtype": "float64"}, {"name": "46", "dtype": "float64"}, {"name": "47", "dtype": 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"dtype": "float64"}, {"name": "1021", "dtype": "float64"}, {"name": "1022", "dtype": "float64"}, {"name": "1023", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 49274939, "num_examples": 1600}, {"name": "test", "num_bytes": 12315986, "num_examples": 400}], "download_size": 0, "dataset_size": 61590925}}
|
2023-09-13T19:01:46+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "maltaomics_dataset_normalized"
More Information needed
|
[
"# Dataset Card for \"maltaomics_dataset_normalized\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"maltaomics_dataset_normalized\"\n\nMore Information needed"
] |
[
6,
20
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"maltaomics_dataset_normalized\"\n\nMore Information needed"
] |
813a71a2732f939f7ca76950a072eeaf3049462d
|
# Dataset Card for "sprites"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Sangrish/sprites
|
[
"region:us"
] |
2023-09-10T20:43:19+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 498863.0, "num_examples": 10}], "download_size": 500416, "dataset_size": 498863.0}}
|
2023-09-10T20:43:24+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "sprites"
More Information needed
|
[
"# Dataset Card for \"sprites\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"sprites\"\n\nMore Information needed"
] |
[
6,
12
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"sprites\"\n\nMore Information needed"
] |
87cbbd8c5d7911eecfc9e1917bac78967276a3b2
|
# Dataset of lusamine/ルザミーネ (Pokémon)
This is the dataset of lusamine/ルザミーネ (Pokémon), containing 500 images and their tags.
The core tags of this character are `blonde_hair, long_hair, green_eyes, very_long_hair, breasts, hair_over_one_eye, bangs, large_breasts`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 577.57 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lusamine_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 329.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lusamine_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1163 | 654.77 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lusamine_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 509.65 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lusamine_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1163 | 926.12 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lusamine_pokemon/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/lusamine_pokemon',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 25 |  |  |  |  |  | 1girl, looking_at_viewer, sleeveless_dress, solo, white_dress, diamond_(shape), bare_shoulders, green_gemstone, smile, bare_arms, closed_mouth, simple_background, white_background, leggings, short_dress |
| 1 | 12 |  |  |  |  |  | 1girl, elbow_gloves, hair_ornament, official_alternate_costume, bare_shoulders, solo, hand_up, looking_at_viewer, black_gloves, yellow_dress, choker, smile, blunt_bangs, blush, eyelashes |
| 2 | 6 |  |  |  |  |  | 1girl, alternate_breast_size, looking_at_viewer, nipples, solo, huge_breasts, mature_female, navel, blush, completely_nude, curvy, female_pubic_hair, smile, collarbone, gigantic_breasts, pussy, thick_thighs |
| 3 | 6 |  |  |  |  |  | 1girl, alternate_breast_size, looking_at_viewer, navel, smile, solo, blush, slingshot_swimsuit, areola_slip, covered_nipples, mature_female, one-piece_swimsuit, sitting |
| 4 | 5 |  |  |  |  |  | 1girl, bare_shoulders, blush, christmas, cleavage, collarbone, grin, indoors, looking_at_viewer, navel, red_skirt, santa_costume, solo, alternate_breast_size, miniskirt, santa_hat, sitting, thighs, window, midriff, black_belt, covered_nipples, crop_top, fur-trimmed_skirt, huge_breasts, mature_female, spread_legs, stomach, swimsuit |
| 5 | 8 |  |  |  |  |  | day, looking_at_viewer, navel, outdoors, 1girl, ocean, beach, blush, sky, smile, solo, alternate_breast_size, black_bikini, cleavage, collarbone, water, cloud, medium_breasts, open_mouth |
| 6 | 5 |  |  |  |  |  | 1girl, bare_shoulders, mosaic_censoring, outdoors, patreon_username, spread_legs, thighs, white_dress, 1boy, beach, blush, day, hetero, looking_at_viewer, open_mouth, palm_tree, penis, sex, solo_focus, sweat, vaginal, blue_sky, breasts_out, cloud, cum_in_pussy, medium_breasts, nipples, ocean, on_back, pink_lips, pov, saliva, shiny_skin, sleeveless, artist_name, cowgirl_position, eyelashes, gem, girl_on_top, no_panties, pubic_hair, sand, tongue_out, watermark, web_address |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | sleeveless_dress | solo | white_dress | diamond_(shape) | bare_shoulders | green_gemstone | smile | bare_arms | closed_mouth | simple_background | white_background | leggings | short_dress | elbow_gloves | hair_ornament | official_alternate_costume | hand_up | black_gloves | yellow_dress | choker | blunt_bangs | blush | eyelashes | alternate_breast_size | nipples | huge_breasts | mature_female | navel | completely_nude | curvy | female_pubic_hair | collarbone | gigantic_breasts | pussy | thick_thighs | slingshot_swimsuit | areola_slip | covered_nipples | one-piece_swimsuit | sitting | christmas | cleavage | grin | indoors | red_skirt | santa_costume | miniskirt | santa_hat | thighs | window | midriff | black_belt | crop_top | fur-trimmed_skirt | spread_legs | stomach | swimsuit | day | outdoors | ocean | beach | sky | black_bikini | water | cloud | medium_breasts | open_mouth | mosaic_censoring | patreon_username | 1boy | hetero | palm_tree | penis | sex | solo_focus | sweat | vaginal | blue_sky | breasts_out | cum_in_pussy | on_back | pink_lips | pov | saliva | shiny_skin | sleeveless | artist_name | cowgirl_position | gem | girl_on_top | no_panties | pubic_hair | sand | tongue_out | watermark | web_address |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------------|:-------------------|:-------|:--------------|:------------------|:-----------------|:-----------------|:--------|:------------|:---------------|:--------------------|:-------------------|:-----------|:--------------|:---------------|:----------------|:-----------------------------|:----------|:---------------|:---------------|:---------|:--------------|:--------|:------------|:------------------------|:----------|:---------------|:----------------|:--------|:------------------|:--------|:--------------------|:-------------|:-------------------|:--------|:---------------|:---------------------|:--------------|:------------------|:---------------------|:----------|:------------|:-----------|:-------|:----------|:------------|:----------------|:------------|:------------|:---------|:---------|:----------|:-------------|:-----------|:--------------------|:--------------|:----------|:-----------|:------|:-----------|:--------|:--------|:------|:---------------|:--------|:--------|:-----------------|:-------------|:-------------------|:-------------------|:-------|:---------|:------------|:--------|:------|:-------------|:--------|:----------|:-----------|:--------------|:---------------|:----------|:------------|:------|:---------|:-------------|:-------------|:--------------|:-------------------|:------|:--------------|:-------------|:-------------|:-------|:-------------|:------------|:--------------|
| 0 | 25 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 12 |  |  |  |  |  | X | X | | X | | | X | | X | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 6 |  |  |  |  |  | X | X | | X | | | | | X | | | | | | | | | | | | | | | X | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 6 |  |  |  |  |  | X | X | | X | | | | | X | | | | | | | | | | | | | | | X | | X | | | X | X | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | X | | X | | | X | | | | | | | | | | | | | | | | | X | | X | | X | X | X | | | | X | | | | | | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 8 |  |  |  |  |  | X | X | | X | | | | | X | | | | | | | | | | | | | | | X | | X | | | | X | | | | X | | | | | | | | | | X | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | X | X | | | X | | X | | | | | | | | | | | | | | | | | X | X | | X | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | X | | | X | X | X | X | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/lusamine_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T20:45:54+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T18:21:36+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of lusamine/ルザミーネ (Pokémon)
===================================
This is the dataset of lusamine/ルザミーネ (Pokémon), containing 500 images and their tags.
The core tags of this character are 'blonde\_hair, long\_hair, green\_eyes, very\_long\_hair, breasts, hair\_over\_one\_eye, bangs, large\_breasts', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
71c76eeec4d3866229f4641c2b053cacf56beeca
|
### Dataset Summary
Instruction-Response pairs generated using the SciDCC Climate Dataset from [Climabench](https://huggingface.co/datasets/iceberg-nlp/climabench)
### Format
```
### Instruction:
Present a fitting title for the provided text.
For those who study earthquakes, one major challenge has been trying to understand all the physics of a fault -- both during an earthquake and at times of "rest" -- in order to know more about how a particular region may behave in the future. Now, researchers at the California Institute of Technology (Caltech) have developed the first computer model of an earthquake-producing fault segment that reproduces, in a single physical framework, the available observations of both the fault's seismic (fast) and aseismic (slow) behavior.
### Response:
Greater insight into earthquake cycles
```
#### 4 distinct instruction-response pairs per scidcc article. (Refer to columns instruction1, instruction2, instruction3, instruction4)
|
tanmaylaud/scidcc-instructions
|
[
"task_categories:conversational",
"task_categories:summarization",
"task_categories:question-answering",
"size_categories:1K<n<10K",
"source_datasets:scidcc",
"language:en",
"license:openrail",
"climate",
"instruction",
"doi:10.57967/hf/1088",
"region:us"
] |
2023-09-10T20:49:46+00:00
|
{"language": ["en"], "license": "openrail", "size_categories": ["1K<n<10K"], "source_datasets": ["scidcc"], "task_categories": ["conversational", "summarization", "question-answering"], "pretty_name": "scidcc-instr", "tags": ["climate", "instruction"]}
|
2023-09-10T21:02:18+00:00
|
[] |
[
"en"
] |
TAGS
#task_categories-conversational #task_categories-summarization #task_categories-question-answering #size_categories-1K<n<10K #source_datasets-scidcc #language-English #license-openrail #climate #instruction #doi-10.57967/hf/1088 #region-us
|
### Dataset Summary
Instruction-Response pairs generated using the SciDCC Climate Dataset from Climabench
### Format
#### 4 distinct instruction-response pairs per scidcc article. (Refer to columns instruction1, instruction2, instruction3, instruction4)
|
[
"### Dataset Summary\n\nInstruction-Response pairs generated using the SciDCC Climate Dataset from Climabench",
"### Format",
"#### 4 distinct instruction-response pairs per scidcc article. (Refer to columns instruction1, instruction2, instruction3, instruction4)"
] |
[
"TAGS\n#task_categories-conversational #task_categories-summarization #task_categories-question-answering #size_categories-1K<n<10K #source_datasets-scidcc #language-English #license-openrail #climate #instruction #doi-10.57967/hf/1088 #region-us \n",
"### Dataset Summary\n\nInstruction-Response pairs generated using the SciDCC Climate Dataset from Climabench",
"### Format",
"#### 4 distinct instruction-response pairs per scidcc article. (Refer to columns instruction1, instruction2, instruction3, instruction4)"
] |
[
88,
28,
3,
39
] |
[
"passage: TAGS\n#task_categories-conversational #task_categories-summarization #task_categories-question-answering #size_categories-1K<n<10K #source_datasets-scidcc #language-English #license-openrail #climate #instruction #doi-10.57967/hf/1088 #region-us \n### Dataset Summary\n\nInstruction-Response pairs generated using the SciDCC Climate Dataset from Climabench### Format#### 4 distinct instruction-response pairs per scidcc article. (Refer to columns instruction1, instruction2, instruction3, instruction4)"
] |
84aa6018ff5583c0e778a72179e750656c9dd417
|
# TAO-Amodal Dataset
<!-- Provide a quick summary of the dataset. -->
Official Source for Downloading the TAO-Amodal Dataset.
[**📙 Project Page**](https://tao-amodal.github.io/) | [**💻 Code**](https://github.com/WesleyHsieh0806/TAO-Amodal) | [**📎 Paper Link**](https://arxiv.org/abs/2312.12433) | [**✏️ Citations**](#citations)
<div align="center">
<a href="https://tao-amodal.github.io/"><img width="95%" alt="TAO-Amodal" src="https://tao-amodal.github.io/static/images/webpage_preview.png"></a>
</div>
</br>
Contact: [🙋🏻♂️Cheng-Yen (Wesley) Hsieh](https://wesleyhsieh0806.github.io/)
## Dataset Description
Our dataset augments the TAO dataset with amodal bounding box annotations for fully invisible, out-of-frame, and occluded objects.
Note that this implies TAO-Amodal also includes modal segmentation masks (as visualized in the color overlays above).
Our dataset encompasses 880 categories, aimed at assessing the occlusion reasoning capabilities of current trackers
through the paradigm of Tracking Any Object with Amodal perception (TAO-Amodal).
### Dataset Download
1. Download with git:
```bash
git lfs install
git clone [email protected]:datasets/chengyenhsieh/TAO-Amodal
```
- Download with [`python`](https://huggingface.co/docs/huggingface_hub/guides/download#download-files-from-the-hub):
```python
from huggingface_hub import snapshot_download
snapshot_download(repo_id="chengyenhsieh/TAO-Amodal")
```
2. Unzip all videos:
Modify `dataset_root` in [unzip_video.py](./unzip_video.py) and run:
```bash
python unzip_video.py
```
3. Download video frames through git (optional):
You can either download the frames following the instructions [here](https://motchallenge.net/tao_download.php) (recommended) or modify our provided [script](./download_frames.sh) and run
```bash
bash download_frames.sh
```
## 📚 Dataset Structure
The dataset should be structured like this:
```bash
TAO-Amodal
├── frames
│ └── train
│ ├── ArgoVerse
│ ├── BDD
│ ├── Charades
│ ├── HACS
│ ├── LaSOT
│ └── YFCC100M
├── amodal_annotations
│ ├── train/validation/test.json
│ ├── train_lvis_v1.json
│ └── validation_lvis_v1.json
├── example_output
│ └── prediction.json
├── BURST_annotations
│ ├── train
│ └── train_visibility.json
│ ...
```
## 📚 File Descriptions
| File Name | Description |
| -------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| train/validation/test.json | Formal annotation files. We use these annotations for visualization. Categories include those in [lvis](https://www.lvisdataset.org/) v0.5 and freeform categories. |
| train_lvis_v1.json | We use this file to train our [amodal-expander](https://tao-amodal.github.io/index.html#Amodal-Expander), treating each image frame as an independent sequence. Categories are aligned with those in lvis v1.0. |
| validation_lvis_v1.json | We use this file to evaluate our [amodal-expander](https://tao-amodal.github.io/index.html#Amodal-Expander). Categories are aligned with those in lvis v1.0. |
| prediction.json | Example output json from amodal-expander. Tracker predictions should be structured like this file to be evaluated with our [evaluation toolkit](https://github.com/WesleyHsieh0806/TAO-Amodal?tab=readme-ov-file#bar_chart-evaluation). |
| BURST_annotations/XXX.json | Modal mask annotations from [BURST dataset](https://github.com/Ali2500/BURST-benchmark) with our heuristic visibility attributes. We provide these files for the convenience of visualization |
### Annotation and Prediction Format
Our annotations are structured similarly as [TAO](https://github.com/TAO-Dataset/tao/blob/master/tao/toolkit/tao/tao.py#L4) with some modifications.
Annotations:
```bash
Annotation file format:
{
"info" : info,
"images" : [image],
"videos": [video],
"tracks": [track],
"annotations" : [annotation],
"categories": [category],
"licenses" : [license],
}
annotation: {
"id": int,
"image_id": int,
"track_id": int,
"bbox": [x,y,width,height],
"area": float,
# Redundant field for compatibility with COCO scripts
"category_id": int,
"video_id": int,
# Other important attributes for evaluation on TAO-Amodal
"amodal_bbox": [x,y,width,height],
"amodal_is_uncertain": bool,
"visibility": float, (0.~1.0)
}
image, info, video, track, category, licenses, : Same as TAO
```
Predictions should be structured as:
```bash
[{
"image_id" : int,
"category_id" : int,
"bbox" : [x,y,width,height],
"score" : float,
"track_id": int,
"video_id": int
}]
```
Refer to the instructions of [TAO dataset](https://github.com/TAO-Dataset/tao/blob/master/docs/evaluation.md) for further details
## 📺 Example Sequences
Check [here](https://tao-amodal.github.io/#TAO-Amodal) for more examples and [here](https://github.com/WesleyHsieh0806/TAO-Amodal?tab=readme-ov-file#artist-visualization) for visualization code.
[<img src="https://tao-amodal.github.io/static/images/car_and_bus.png" width="50%">](https://tao-amodal.github.io/dataset.html "tao-amodal")
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
```
@misc{hsieh2023tracking,
title={Tracking Any Object Amodally},
author={Cheng-Yen Hsieh and Tarasha Khurana and Achal Dave and Deva Ramanan},
year={2023},
eprint={2312.12433},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
<details>
<summary>Please also cite <a href="https://taodataset.org/">TAO</a> and <a href="https://github.com/Ali2500/BURST-benchmark">BURST</a> dataset if you use our dataset</summary>
```
@inproceedings{dave2020tao,
title={Tao: A large-scale benchmark for tracking any object},
author={Dave, Achal and Khurana, Tarasha and Tokmakov, Pavel and Schmid, Cordelia and Ramanan, Deva},
booktitle={Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part V 16},
pages={436--454},
year={2020},
organization={Springer}
}
@inproceedings{athar2023burst,
title={Burst: A benchmark for unifying object recognition, segmentation and tracking in video},
author={Athar, Ali and Luiten, Jonathon and Voigtlaender, Paul and Khurana, Tarasha and Dave, Achal and Leibe, Bastian and Ramanan, Deva},
booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
pages={1674--1683},
year={2023}
}
```
</details>
|
chengyenhsieh/TAO-Amodal
|
[
"task_categories:object-detection",
"license:mit",
"computer vision",
"amodal-tracking",
"object-tracking",
"amodal-perception",
"arxiv:2312.12433",
"region:us"
] |
2023-09-10T20:53:17+00:00
|
{"license": "mit", "task_categories": ["object-detection"], "tags": ["computer vision", "amodal-tracking", "object-tracking", "amodal-perception"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "amodal_annotations/train.json"}, {"split": "validation", "path": "amodal_annotations/validation.json"}, {"split": "test", "path": "amodal_annotations/test.json"}]}], "extra_gated_prompt": "To download the AVA and HACS videos you have to agree to terms and conditions.", "extra_gated_fields": {"You will use the Datasets only for non-commercial research and educational purposes.": {"type": "select", "options": [true, false]}, "You will NOT distribute the Datasets or any parts thereof.": {"type": "select", "options": [true, false]}, "Carnegie Mellon University makes no representations or warranties regarding the datasets, including but not limited to warranties of non-infringement or fitness for a particular purpose.": {"type": "select", "options": [true, false]}, "You accept full responsibility for your use of the datasets and shall defend and indemnify Carnegie Mellon University, including its employees, officers and agents, against any and all claims arising from your use of the datasets, including but not limited to your use of any copyrighted videos or images that you may create from the datasets.": {"type": "select", "options": [true, false]}, "You will treat people appearing in this data with respect and dignity.": {"type": "select", "options": [true, false]}, "This data comes with no warranty or guarantee of any kind, and you accept full liability.": {"type": "select", "options": [true, false]}}, "extra_gated_heading": "TAO-Amodal VIDEO Request", "extra_gated_button_content": "Request Data"}
|
2024-02-17T07:10:41+00:00
|
[
"2312.12433"
] |
[] |
TAGS
#task_categories-object-detection #license-mit #computer vision #amodal-tracking #object-tracking #amodal-perception #arxiv-2312.12433 #region-us
|
TAO-Amodal Dataset
==================
Official Source for Downloading the TAO-Amodal Dataset.
```
Project Page | Code | Paper Link | ️ Citations
```
[- Unzip all videos:
Modify 'dataset\_root' in unzip\_video.py and run:
3. Download video frames through git (optional):
You can either download the frames following the instructions here (recommended) or modify our provided script and run
Dataset Structure
-----------------
The dataset should be structured like this:
File Descriptions
-----------------
### Annotation and Prediction Format
Our annotations are structured similarly as TAO with some modifications.
Annotations:
Predictions should be structured as:
Refer to the instructions of TAO dataset for further details
Example Sequences
-----------------
Check here for more examples and here for visualization code.
<img src="URL width="50%">
Please also cite](URL width=)
|
[
"### Annotation and Prediction Format\n\n\nOur annotations are structured similarly as TAO with some modifications.\nAnnotations:\n\n\nPredictions should be structured as:\n\n\nRefer to the instructions of TAO dataset for further details\n\n\nExample Sequences\n-----------------\n\n\nCheck here for more examples and here for visualization code.\n<img src=\"URL width=\"50%\">\n\n\n\nPlease also cite](URL width=)"
] |
[
"TAGS\n#task_categories-object-detection #license-mit #computer vision #amodal-tracking #object-tracking #amodal-perception #arxiv-2312.12433 #region-us \n",
"### Annotation and Prediction Format\n\n\nOur annotations are structured similarly as TAO with some modifications.\nAnnotations:\n\n\nPredictions should be structured as:\n\n\nRefer to the instructions of TAO dataset for further details\n\n\nExample Sequences\n-----------------\n\n\nCheck here for more examples and here for visualization code.\n<img src=\"URL width=\"50%\">\n\n\n\nPlease also cite](URL width=)"
] |
[
51,
93
] |
[
"passage: TAGS\n#task_categories-object-detection #license-mit #computer vision #amodal-tracking #object-tracking #amodal-perception #arxiv-2312.12433 #region-us \n### Annotation and Prediction Format\n\n\nOur annotations are structured similarly as TAO with some modifications.\nAnnotations:\n\n\nPredictions should be structured as:\n\n\nRefer to the instructions of TAO dataset for further details\n\n\nExample Sequences\n-----------------\n\n\nCheck here for more examples and here for visualization code.\n<img src=\"URL width=\"50%\">\n\n\n\nPlease also cite](URL width=)"
] |
a379a9f187d8ee6021137feb6312a063f1cf0602
|
# Stable Diffusion
Stable Diffusion is an exciting new AI system that is changing the world of generative art and media creation. Developed by the smart folks at Anthropic, Stable Diffusion uses an innovative deep learning technique called diffusion models to generate high-quality, photorealistic images and art from simple text descriptions.
Now, previous AI image generators were cool, but they didn't quite capture the nuanced details and coherence of human-created art. Stable Diffusion blows those out of the water. It can take a text prompt and generate all kinds of diverse, intricate images that look like they came right out of an artist's imagination.
What makes [Stable Diffusion](https://stable-diffusion.app/ "Stable Diffusion") so game-changing? A few key features:
- The images look incredibly realistic and detailed, unlike anything AI has been able to produce before. We're talking artwork that could fool your eye into thinking a human painted it.
- Users have fine-grained control over the image generation process. You can guide Stable Diffusion with text and example images to iterate and edit quickly.
- This thing is versatile, capable of producing stunning illustrations, concept art, paintings - you name it. The possibilities are endless.
- Best of all, it's free and open source. This means a thriving community of creative programmers and artists are already building tools and apps on top of Stable Diffusion, pushing what's possible with AI art.
With continuous improvements, it's clear that Stable Diffusion represents a leap forward for AI and generative art. It gives us a glimpse into the future, where text-to-image systems empower unlimited creativity and change how we illustrate, design and distribute visual media. I don't know about you, but I think that future is looking pretty bright!
|
sinanisler/StableDiffusion
|
[
"region:us"
] |
2023-09-10T21:02:52+00:00
|
{}
|
2023-09-10T21:07:39+00:00
|
[] |
[] |
TAGS
#region-us
|
# Stable Diffusion
Stable Diffusion is an exciting new AI system that is changing the world of generative art and media creation. Developed by the smart folks at Anthropic, Stable Diffusion uses an innovative deep learning technique called diffusion models to generate high-quality, photorealistic images and art from simple text descriptions.
Now, previous AI image generators were cool, but they didn't quite capture the nuanced details and coherence of human-created art. Stable Diffusion blows those out of the water. It can take a text prompt and generate all kinds of diverse, intricate images that look like they came right out of an artist's imagination.
What makes Stable Diffusion so game-changing? A few key features:
- The images look incredibly realistic and detailed, unlike anything AI has been able to produce before. We're talking artwork that could fool your eye into thinking a human painted it.
- Users have fine-grained control over the image generation process. You can guide Stable Diffusion with text and example images to iterate and edit quickly.
- This thing is versatile, capable of producing stunning illustrations, concept art, paintings - you name it. The possibilities are endless.
- Best of all, it's free and open source. This means a thriving community of creative programmers and artists are already building tools and apps on top of Stable Diffusion, pushing what's possible with AI art.
With continuous improvements, it's clear that Stable Diffusion represents a leap forward for AI and generative art. It gives us a glimpse into the future, where text-to-image systems empower unlimited creativity and change how we illustrate, design and distribute visual media. I don't know about you, but I think that future is looking pretty bright!
|
[
"# Stable Diffusion\n\nStable Diffusion is an exciting new AI system that is changing the world of generative art and media creation. Developed by the smart folks at Anthropic, Stable Diffusion uses an innovative deep learning technique called diffusion models to generate high-quality, photorealistic images and art from simple text descriptions.\n\nNow, previous AI image generators were cool, but they didn't quite capture the nuanced details and coherence of human-created art. Stable Diffusion blows those out of the water. It can take a text prompt and generate all kinds of diverse, intricate images that look like they came right out of an artist's imagination.\n\nWhat makes Stable Diffusion so game-changing? A few key features:\n\n\n- The images look incredibly realistic and detailed, unlike anything AI has been able to produce before. We're talking artwork that could fool your eye into thinking a human painted it.\n\n- Users have fine-grained control over the image generation process. You can guide Stable Diffusion with text and example images to iterate and edit quickly.\n\n- This thing is versatile, capable of producing stunning illustrations, concept art, paintings - you name it. The possibilities are endless.\n\n- Best of all, it's free and open source. This means a thriving community of creative programmers and artists are already building tools and apps on top of Stable Diffusion, pushing what's possible with AI art.\n\nWith continuous improvements, it's clear that Stable Diffusion represents a leap forward for AI and generative art. It gives us a glimpse into the future, where text-to-image systems empower unlimited creativity and change how we illustrate, design and distribute visual media. I don't know about you, but I think that future is looking pretty bright!"
] |
[
"TAGS\n#region-us \n",
"# Stable Diffusion\n\nStable Diffusion is an exciting new AI system that is changing the world of generative art and media creation. Developed by the smart folks at Anthropic, Stable Diffusion uses an innovative deep learning technique called diffusion models to generate high-quality, photorealistic images and art from simple text descriptions.\n\nNow, previous AI image generators were cool, but they didn't quite capture the nuanced details and coherence of human-created art. Stable Diffusion blows those out of the water. It can take a text prompt and generate all kinds of diverse, intricate images that look like they came right out of an artist's imagination.\n\nWhat makes Stable Diffusion so game-changing? A few key features:\n\n\n- The images look incredibly realistic and detailed, unlike anything AI has been able to produce before. We're talking artwork that could fool your eye into thinking a human painted it.\n\n- Users have fine-grained control over the image generation process. You can guide Stable Diffusion with text and example images to iterate and edit quickly.\n\n- This thing is versatile, capable of producing stunning illustrations, concept art, paintings - you name it. The possibilities are endless.\n\n- Best of all, it's free and open source. This means a thriving community of creative programmers and artists are already building tools and apps on top of Stable Diffusion, pushing what's possible with AI art.\n\nWith continuous improvements, it's clear that Stable Diffusion represents a leap forward for AI and generative art. It gives us a glimpse into the future, where text-to-image systems empower unlimited creativity and change how we illustrate, design and distribute visual media. I don't know about you, but I think that future is looking pretty bright!"
] |
[
6,
416
] |
[
"passage: TAGS\n#region-us \n# Stable Diffusion\n\nStable Diffusion is an exciting new AI system that is changing the world of generative art and media creation. Developed by the smart folks at Anthropic, Stable Diffusion uses an innovative deep learning technique called diffusion models to generate high-quality, photorealistic images and art from simple text descriptions.\n\nNow, previous AI image generators were cool, but they didn't quite capture the nuanced details and coherence of human-created art. Stable Diffusion blows those out of the water. It can take a text prompt and generate all kinds of diverse, intricate images that look like they came right out of an artist's imagination.\n\nWhat makes Stable Diffusion so game-changing? A few key features:\n\n\n- The images look incredibly realistic and detailed, unlike anything AI has been able to produce before. We're talking artwork that could fool your eye into thinking a human painted it.\n\n- Users have fine-grained control over the image generation process. You can guide Stable Diffusion with text and example images to iterate and edit quickly.\n\n- This thing is versatile, capable of producing stunning illustrations, concept art, paintings - you name it. The possibilities are endless.\n\n- Best of all, it's free and open source. This means a thriving community of creative programmers and artists are already building tools and apps on top of Stable Diffusion, pushing what's possible with AI art.\n\nWith continuous improvements, it's clear that Stable Diffusion represents a leap forward for AI and generative art. It gives us a glimpse into the future, where text-to-image systems empower unlimited creativity and change how we illustrate, design and distribute visual media. I don't know about you, but I think that future is looking pretty bright!"
] |
942f1ab49b5f54c5f758dd44e1d574c2123e0d9d
|
# Dataset of tamamo_no_mae/玉藻の前/玉藻前 (Fate/Grand Order)
This is the dataset of tamamo_no_mae/玉藻の前/玉藻前 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `animal_ears, fox_ears, pink_hair, yellow_eyes, fox_tail, tail, breasts, long_hair, large_breasts, animal_ear_fluff, fox_girl, bow, ribbon, hair_bow, hair_ribbon, twintails, bangs, hair_between_eyes`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:-------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 766.70 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tamamo_no_mae_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 427.23 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tamamo_no_mae_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1249 | 929.61 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tamamo_no_mae_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 674.96 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tamamo_no_mae_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1249 | 1.29 GiB | [Download](https://huggingface.co/datasets/CyberHarem/tamamo_no_mae_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/tamamo_no_mae_fgo',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 17 |  |  |  |  |  | 1girl, blush, official_alternate_costume, school_uniform, solo, looking_at_viewer, jacket_around_waist, smile, white_shirt, collarbone, white_background, blue_skirt, simple_background, sweater, black_socks, kneehighs, open_mouth |
| 1 | 35 |  |  |  |  |  | 1girl, looking_at_viewer, solo, blush, cleavage, official_alternate_costume, collarbone, pink_bra, striped, smile, simple_background, black_thighhighs, white_background, open_clothes, necklace, open_mouth |
| 2 | 5 |  |  |  |  |  | 1girl, bare_shoulders, blush, cleavage, detached_sleeves, japanese_clothes, looking_at_viewer, smile, solo, ofuda, thighhighs |
| 3 | 9 |  |  |  |  |  | 1girl, bell, cleavage, kimono, official_alternate_costume, solo, very_long_hair, bare_shoulders, looking_at_viewer, off_shoulder, multiple_tails, smile, hair_ornament |
| 4 | 9 |  |  |  |  |  | 1girl, bare_shoulders, blue_kimono, cleavage, detached_sleeves, looking_at_viewer, solo, blue_ribbon, collarbone, simple_background, white_background, blue_thighhighs, smile, blush, fox_shadow_puppet |
| 5 | 6 |  |  |  |  |  | 1girl, bare_shoulders, blue_thighhighs, detached_sleeves, japanese_clothes, looking_at_viewer, solo, cleavage, mirror |
| 6 | 5 |  |  |  |  |  | 1girl, bare_shoulders, cleavage, detached_sleeves, japanese_clothes, open_mouth, solo, blue_thighhighs, fang, looking_at_viewer |
| 7 | 7 |  |  |  |  |  | 1girl, bare_shoulders, cleavage, detached_sleeves, looking_at_viewer, simple_background, solo, white_background, blush, open_mouth, blue_thighhighs, kimono, sitting |
| 8 | 11 |  |  |  |  |  | 1girl, bare_shoulders, blue_kimono, cleavage, detached_sleeves, smile, solo, closed_mouth, looking_at_viewer, obi, simple_background, white_background, blue_bow, blue_thighhighs, blush, long_sleeves, wide_sleeves, detached_collar, sitting, collarbone |
| 9 | 7 |  |  |  |  |  | 1girl, detached_sleeves, mini_top_hat, official_alternate_costume, solo, bare_shoulders, cleavage, black_thighhighs, medium_breasts, one_eye_closed |
| 10 | 5 |  |  |  |  |  | 1girl, bare_shoulders, blush, cleavage, detached_sleeves, looking_at_viewer, mini_top_hat, official_alternate_costume, solo, wide_sleeves, black_headwear, black_thighhighs, long_sleeves, open_mouth, sidelocks, white_background, :d, black_dress, black_footwear, fang, fox_shadow_puppet, frills, simple_background, blue_bow, collarbone, o-ring, sitting |
| 11 | 14 |  |  |  |  |  | 1girl, looking_at_viewer, maid_headdress, solo, enmaided, blush, official_alternate_costume, simple_background, smile, cleavage, detached_sleeves, white_background, frills, maid_apron, waist_apron, closed_mouth, fox_shadow_puppet, holding |
| 12 | 6 |  |  |  |  |  | 1girl, blush, looking_at_viewer, official_alternate_costume, uchikake, veil, jingle_bell, solo, oil-paper_umbrella, wide_sleeves, fox_mask, smile |
| 13 | 7 |  |  |  |  |  | 1girl, necktie, official_alternate_costume, police_hat, policewoman, solo, looking_at_viewer, pencil_skirt, open_mouth, short_sleeves, white_gloves, belt, blue_bow, blue_ribbon, blue_shirt, blue_skirt, handcuffs, miniskirt, sidelocks, blush, smile |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | blush | official_alternate_costume | school_uniform | solo | looking_at_viewer | jacket_around_waist | smile | white_shirt | collarbone | white_background | blue_skirt | simple_background | sweater | black_socks | kneehighs | open_mouth | cleavage | pink_bra | striped | black_thighhighs | open_clothes | necklace | bare_shoulders | detached_sleeves | japanese_clothes | ofuda | thighhighs | bell | kimono | very_long_hair | off_shoulder | multiple_tails | hair_ornament | blue_kimono | blue_ribbon | blue_thighhighs | fox_shadow_puppet | mirror | fang | sitting | closed_mouth | obi | blue_bow | long_sleeves | wide_sleeves | detached_collar | mini_top_hat | medium_breasts | one_eye_closed | black_headwear | sidelocks | :d | black_dress | black_footwear | frills | o-ring | maid_headdress | enmaided | maid_apron | waist_apron | holding | uchikake | veil | jingle_bell | oil-paper_umbrella | fox_mask | necktie | police_hat | policewoman | pencil_skirt | short_sleeves | white_gloves | belt | blue_shirt | handcuffs | miniskirt |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------|:-----------------------------|:-----------------|:-------|:--------------------|:----------------------|:--------|:--------------|:-------------|:-------------------|:-------------|:--------------------|:----------|:--------------|:------------|:-------------|:-----------|:-----------|:----------|:-------------------|:---------------|:-----------|:-----------------|:-------------------|:-------------------|:--------|:-------------|:-------|:---------|:-----------------|:---------------|:-----------------|:----------------|:--------------|:--------------|:------------------|:--------------------|:---------|:-------|:----------|:---------------|:------|:-----------|:---------------|:---------------|:------------------|:---------------|:-----------------|:-----------------|:-----------------|:------------|:-----|:--------------|:-----------------|:---------|:---------|:-----------------|:-----------|:-------------|:--------------|:----------|:-----------|:-------|:--------------|:---------------------|:-----------|:----------|:-------------|:--------------|:---------------|:----------------|:---------------|:-------|:-------------|:------------|:------------|
| 0 | 17 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 35 |  |  |  |  |  | X | X | X | | X | X | | X | | X | X | | X | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | X | | | X | X | | X | | | | | | | | | | X | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 9 |  |  |  |  |  | X | | X | | X | X | | X | | | | | | | | | | X | | | | | | X | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 9 |  |  |  |  |  | X | X | | | X | X | | X | | X | X | | X | | | | | X | | | | | | X | X | | | | | | | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 6 |  |  |  |  |  | X | | | | X | X | | | | | | | | | | | | X | | | | | | X | X | X | | | | | | | | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | X | | | | X | X | | | | | | | | | | | X | X | | | | | | X | X | X | | | | | | | | | | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 7 |  |  |  |  |  | X | X | | | X | X | | | | | X | | X | | | | X | X | | | | | | X | X | | | | | X | | | | | | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 11 |  |  |  |  |  | X | X | | | X | X | | X | | X | X | | X | | | | | X | | | | | | X | X | | | | | | | | | | X | | X | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 7 |  |  |  |  |  | X | | X | | X | | | | | | | | | | | | | X | | | X | | | X | X | | | | | | | | | | | | | | | | | | | | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 5 |  |  |  |  |  | X | X | X | | X | X | | | | X | X | | X | | | | X | X | | | X | | | X | X | | | | | | | | | | | | | X | | X | X | | | X | X | X | | X | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | |
| 11 | 14 |  |  |  |  |  | X | X | X | | X | X | | X | | | X | | X | | | | | X | | | | | | | X | | | | | | | | | | | | | X | | | | X | | | | | | | | | | | | | | X | | X | X | X | X | X | | | | | | | | | | | | | | | |
| 12 | 6 |  |  |  |  |  | X | X | X | | X | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | X | X | X | X | X | | | | | | | | | | |
| 13 | 7 |  |  |  |  |  | X | X | X | | X | X | | X | | | | X | | | | | X | | | | | | | | | | | | | | | | | | | X | | | | | | | | X | | | | | | | | X | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/tamamo_no_mae_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T21:41:39+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-11T17:13:37+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of tamamo\_no\_mae/玉藻の前/玉藻前 (Fate/Grand Order)
======================================================
This is the dataset of tamamo\_no\_mae/玉藻の前/玉藻前 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'animal\_ears, fox\_ears, pink\_hair, yellow\_eyes, fox\_tail, tail, breasts, long\_hair, large\_breasts, animal\_ear\_fluff, fox\_girl, bow, ribbon, hair\_bow, hair\_ribbon, twintails, bangs, hair\_between\_eyes', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
a22d4edd1b1100137f5e3930c78163e5b40c3ad4
|
# Dataset Card for "alpaca-gpt4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
voidful/alpaca-gpt4
|
[
"region:us"
] |
2023-09-10T22:00:48+00:00
|
{"dataset_info": {"features": [{"name": "output", "dtype": "string"}, {"name": "prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 46164749.05884389, "num_examples": 49401}, {"name": "test", "num_bytes": 2430608.9411561093, "num_examples": 2601}], "download_size": 24893447, "dataset_size": 48595358.0}}
|
2023-09-10T23:09:57+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "alpaca-gpt4"
More Information needed
|
[
"# Dataset Card for \"alpaca-gpt4\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"alpaca-gpt4\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"alpaca-gpt4\"\n\nMore Information needed"
] |
367d6b06edd34fb05e8849c3bb84e37d7dd20bbd
|
# Dataset Card for "gtzan_all_preprocessed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
davidggphy/gtzan_all_preprocessed
|
[
"region:us"
] |
2023-09-10T22:05:16+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "blues", "1": "classical", "2": "country", "3": "disco", "4": "hiphop", "5": "jazz", "6": "metal", "7": "pop", "8": "reggae", "9": "rock"}}}}, {"name": "input_values", "sequence": "float32"}, {"name": "attention_mask", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes": 3452159816, "num_examples": 899}, {"name": "test", "num_bytes": 384000696, "num_examples": 100}], "download_size": 1923103923, "dataset_size": 3836160512}}
|
2023-09-10T22:06:42+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "gtzan_all_preprocessed"
More Information needed
|
[
"# Dataset Card for \"gtzan_all_preprocessed\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"gtzan_all_preprocessed\"\n\nMore Information needed"
] |
[
6,
18
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"gtzan_all_preprocessed\"\n\nMore Information needed"
] |
9b6890dcaa070a5f2ac8e327079ad576813ce88e
|
# Dataset of komiya_kaho/小宮果穂 (THE iDOLM@STER: SHINY COLORS)
This is the dataset of komiya_kaho/小宮果穂 (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `red_hair, long_hair, bangs, red_eyes, ahoge, hair_between_eyes, breasts`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:-------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 752.23 MiB | [Download](https://huggingface.co/datasets/CyberHarem/komiya_kaho_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 390.38 MiB | [Download](https://huggingface.co/datasets/CyberHarem/komiya_kaho_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1282 | 878.84 MiB | [Download](https://huggingface.co/datasets/CyberHarem/komiya_kaho_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 649.47 MiB | [Download](https://huggingface.co/datasets/CyberHarem/komiya_kaho_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1282 | 1.31 GiB | [Download](https://huggingface.co/datasets/CyberHarem/komiya_kaho_theidolmstershinycolors/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/komiya_kaho_theidolmstershinycolors',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 28 |  |  |  |  |  | 1girl, solo, blush, looking_at_viewer, open_mouth, :d, long_sleeves, shorts, collarbone, jacket_around_waist, simple_background, white_background, raglan_sleeves, upper_body, white_shirt |
| 1 | 8 |  |  |  |  |  | 1girl, blush, simple_background, solo, white_background, collarbone, completely_nude, looking_at_viewer, nipples, medium_breasts, navel, open_mouth, small_breasts, smile, upper_body, closed_mouth |
| 2 | 13 |  |  |  |  |  | open_mouth, smile, 1girl, looking_at_viewer, shorts, belt, solo, armband, holding_microphone, grey_shirt, letterman_jacket, long_sleeves, red_jacket, ribbon, thighhighs, white_background, asymmetrical_legwear, blush, bow, simple_background |
| 3 | 11 |  |  |  |  |  | 1girl, looking_at_viewer, blush, collarbone, open_mouth, solo, :d, navel, small_breasts, white_bikini, micro_bikini, beach, ocean, outdoors, sitting |
| 4 | 10 |  |  |  |  |  | 1girl, day, ocean, outdoors, solo, blue_sky, looking_at_viewer, open_mouth, blush, cloud, collarbone, water, beach, navel, frilled_bikini, medium_breasts, :d |
| 5 | 5 |  |  |  |  |  | 1boy, 1girl, blush, completely_nude, hetero, nipples, penis, solo_focus, sweat, fellatio, medium_breasts, mosaic_censoring, navel, small_breasts, closed_eyes, cum_in_mouth, testicles, trembling, white_background |
| 6 | 20 |  |  |  |  |  | 1girl, nipples, blush, completely_nude, navel, 1boy, hetero, solo_focus, penis, open_mouth, pussy, sex, spread_legs, sweat, medium_breasts, vaginal, looking_at_viewer, on_back, mosaic_censoring, pov, smile, female_pubic_hair, on_bed, bar_censor, collarbone, cum, girl_on_top, small_breasts |
| 7 | 18 |  |  |  |  |  | blush, 1girl, navel, solo, midriff, looking_at_viewer, crop_top, open_mouth, detached_sleeves, short_shorts, belt, hairclip, star_hair_ornament, stomach, white_background, white_shorts, simple_background, :d, detached_collar, gloves |
| 8 | 7 |  |  |  |  |  | 1girl, blazer, looking_at_viewer, plaid_skirt, school_uniform, solo, bowtie, long_sleeves, red_bow, white_shirt, blush, red_skirt, smile, collared_shirt, pleated_skirt, sitting, white_background, black_jacket, blue_jacket, closed_mouth, kneehighs, miniskirt, school_desk, simple_background, striped |
| 9 | 12 |  |  |  |  |  | 1girl, puffy_short_sleeves, blush, looking_at_viewer, open_mouth, solo, maid, white_headwear, :d, apron, mob_cap, black_dress, wrist_cuffs, twintails, bowtie, frilled_dress |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | blush | looking_at_viewer | open_mouth | :d | long_sleeves | shorts | collarbone | jacket_around_waist | simple_background | white_background | raglan_sleeves | upper_body | white_shirt | completely_nude | nipples | medium_breasts | navel | small_breasts | smile | closed_mouth | belt | armband | holding_microphone | grey_shirt | letterman_jacket | red_jacket | ribbon | thighhighs | asymmetrical_legwear | bow | white_bikini | micro_bikini | beach | ocean | outdoors | sitting | day | blue_sky | cloud | water | frilled_bikini | 1boy | hetero | penis | solo_focus | sweat | fellatio | mosaic_censoring | closed_eyes | cum_in_mouth | testicles | trembling | pussy | sex | spread_legs | vaginal | on_back | pov | female_pubic_hair | on_bed | bar_censor | cum | girl_on_top | midriff | crop_top | detached_sleeves | short_shorts | hairclip | star_hair_ornament | stomach | white_shorts | detached_collar | gloves | blazer | plaid_skirt | school_uniform | bowtie | red_bow | red_skirt | collared_shirt | pleated_skirt | black_jacket | blue_jacket | kneehighs | miniskirt | school_desk | striped | puffy_short_sleeves | maid | white_headwear | apron | mob_cap | black_dress | wrist_cuffs | twintails | frilled_dress |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:--------|:--------------------|:-------------|:-----|:---------------|:---------|:-------------|:----------------------|:--------------------|:-------------------|:-----------------|:-------------|:--------------|:------------------|:----------|:-----------------|:--------|:----------------|:--------|:---------------|:-------|:----------|:---------------------|:-------------|:-------------------|:-------------|:---------|:-------------|:-----------------------|:------|:---------------|:---------------|:--------|:--------|:-----------|:----------|:------|:-----------|:--------|:--------|:-----------------|:-------|:---------|:--------|:-------------|:--------|:-----------|:-------------------|:--------------|:---------------|:------------|:------------|:--------|:------|:--------------|:----------|:----------|:------|:--------------------|:---------|:-------------|:------|:--------------|:----------|:-----------|:-------------------|:---------------|:-----------|:---------------------|:----------|:---------------|:------------------|:---------|:---------|:--------------|:-----------------|:---------|:----------|:------------|:-----------------|:----------------|:---------------|:--------------|:------------|:------------|:--------------|:----------|:----------------------|:-------|:-----------------|:--------|:----------|:--------------|:--------------|:------------|:----------------|
| 0 | 28 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 8 |  |  |  |  |  | X | X | X | X | X | | | | X | | X | X | | X | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 13 |  |  |  |  |  | X | X | X | X | X | | X | X | | | X | X | | | | | | | | | X | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 11 |  |  |  |  |  | X | X | X | X | X | X | | | X | | | | | | | | | | X | X | | | | | | | | | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 10 |  |  |  |  |  | X | X | X | X | X | X | | | X | | | | | | | | | X | X | | | | | | | | | | | | | | | | X | X | X | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 5 |  |  |  |  |  | X | | X | | | | | | | | | X | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 20 |  |  |  |  |  | X | | X | X | X | | | | X | | | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | | X | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 18 |  |  |  |  |  | X | X | X | X | X | X | | | | | X | X | | | | | | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 7 |  |  |  |  |  | X | X | X | X | | | X | | | | X | X | | | X | | | | | | X | X | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | |
| 9 | 12 |  |  |  |  |  | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | X | X | X | X | X | X | X | X | X |
|
CyberHarem/komiya_kaho_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T22:09:13+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T05:16:14+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of komiya\_kaho/小宮果穂 (THE iDOLM@STER: SHINY COLORS)
===========================================================
This is the dataset of komiya\_kaho/小宮果穂 (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'red\_hair, long\_hair, bangs, red\_eyes, ahoge, hair\_between\_eyes, breasts', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
4ec43fc7955bb14886581f5e1dfb276d834a6e8d
|
# Dataset of medea_lily/メディア〔リリィ〕/美狄亚〔Lily〕 (Fate/Grand Order)
This is the dataset of medea_lily/メディア〔リリィ〕/美狄亚〔Lily〕 (Fate/Grand Order), containing 127 images and their tags.
The core tags of this character are `long_hair, pointy_ears, ponytail, blue_eyes, purple_hair, breasts, very_long_hair, blue_hair, bangs, high_ponytail, scrunchie, hair_ornament`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 127 | 169.72 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medea_lily_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 127 | 96.68 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medea_lily_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 286 | 198.95 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medea_lily_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 127 | 151.64 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medea_lily_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 286 | 281.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medea_lily_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/medea_lily_fgo',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 61 |  |  |  |  |  | 1girl, solo, bare_shoulders, choker, looking_at_viewer, mismatched_gloves, strapless_dress, smile, thighhighs, blush, see-through, collarbone, purple_gloves, mismatched_legwear, capelet, cleavage, open_mouth, hair_scrunchie, green_gloves, purple_eyes, holding_staff |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | bare_shoulders | choker | looking_at_viewer | mismatched_gloves | strapless_dress | smile | thighhighs | blush | see-through | collarbone | purple_gloves | mismatched_legwear | capelet | cleavage | open_mouth | hair_scrunchie | green_gloves | purple_eyes | holding_staff |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:-----------------|:---------|:--------------------|:--------------------|:------------------|:--------|:-------------|:--------|:--------------|:-------------|:----------------|:---------------------|:----------|:-----------|:-------------|:-----------------|:---------------|:--------------|:----------------|
| 0 | 61 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/medea_lily_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T22:10:58+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-13T03:13:21+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of medea\_lily/メディア〔リリィ〕/美狄亚〔Lily〕 (Fate/Grand Order)
=============================================================
This is the dataset of medea\_lily/メディア〔リリィ〕/美狄亚〔Lily〕 (Fate/Grand Order), containing 127 images and their tags.
The core tags of this character are 'long\_hair, pointy\_ears, ponytail, blue\_eyes, purple\_hair, breasts, very\_long\_hair, blue\_hair, bangs, high\_ponytail, scrunchie, hair\_ornament', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
fff32d10e7ad6abc5fb2ad40e81ee87d4760cc11
|
# FloCo Dataset
From: https://vl2g.github.io/projects/floco/
We introduce a new large-scale dataset called "FloCo" for Flowchart images to Python Codes conversion. It contains 11,884 paired flowchart-code samples. Please refer to the paper for more details regarding statistics and dataset construction.
```
@inproceedings{shukla2023floco,
author = "Shukla, Shreya and
Gatti, Prajwal and
Kumar, Yogesh and
Yadav, Vikash and
Mishra, Anand",
title = "Towards Making Flowchart Images Machine Interpretable",
booktitle = "ICDAR",
year = "2023",
}
```
|
mrm8488/FloCo
|
[
"task_categories:image-to-image",
"size_categories:10K<n<100K",
"code",
"region:us"
] |
2023-09-10T22:15:05+00:00
|
{"size_categories": ["10K<n<100K"], "task_categories": ["image-to-image"], "pretty_name": "FloCo", "dataset_info": [{"config_name": "test", "features": [{"name": "image", "dtype": "image"}, {"name": "code_caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 142134244.412, "num_examples": 1188}], "download_size": 124563800, "dataset_size": 142134244.412}, {"config_name": "train", "features": [{"name": "image", "dtype": "image"}, {"name": "code_caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 946697073.77, "num_examples": 10102}], "download_size": 853815350, "dataset_size": 946697073.77}, {"config_name": "validation", "features": [{"name": "image", "dtype": "image"}, {"name": "code_caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 95790792, "num_examples": 594}], "download_size": 73916515, "dataset_size": 95790792}], "configs": [{"config_name": "test", "data_files": [{"split": "train", "path": "test/train-*"}]}, {"config_name": "train", "data_files": [{"split": "train", "path": "train/train-*"}]}, {"config_name": "validation", "data_files": [{"split": "train", "path": "validation/train-*"}]}], "tags": ["code"]}
|
2023-09-10T22:24:25+00:00
|
[] |
[] |
TAGS
#task_categories-image-to-image #size_categories-10K<n<100K #code #region-us
|
# FloCo Dataset
From: URL
We introduce a new large-scale dataset called "FloCo" for Flowchart images to Python Codes conversion. It contains 11,884 paired flowchart-code samples. Please refer to the paper for more details regarding statistics and dataset construction.
|
[
"# FloCo Dataset\n\nFrom: URL\n\nWe introduce a new large-scale dataset called \"FloCo\" for Flowchart images to Python Codes conversion. It contains 11,884 paired flowchart-code samples. Please refer to the paper for more details regarding statistics and dataset construction."
] |
[
"TAGS\n#task_categories-image-to-image #size_categories-10K<n<100K #code #region-us \n",
"# FloCo Dataset\n\nFrom: URL\n\nWe introduce a new large-scale dataset called \"FloCo\" for Flowchart images to Python Codes conversion. It contains 11,884 paired flowchart-code samples. Please refer to the paper for more details regarding statistics and dataset construction."
] |
[
32,
67
] |
[
"passage: TAGS\n#task_categories-image-to-image #size_categories-10K<n<100K #code #region-us \n# FloCo Dataset\n\nFrom: URL\n\nWe introduce a new large-scale dataset called \"FloCo\" for Flowchart images to Python Codes conversion. It contains 11,884 paired flowchart-code samples. Please refer to the paper for more details regarding statistics and dataset construction."
] |
0afb35fa4646c84ce51a48f4d8fcf63660fc86c3
|
# Dataset Card for "embedded_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
HydraLM/embedded_1
|
[
"region:us"
] |
2023-09-10T22:50:53+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "conversation_id", "dtype": "int64"}, {"name": "dataset_id", "dtype": "string"}, {"name": "unique_conversation_id", "dtype": "string"}, {"name": "embedding", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 14944052504, "num_examples": 2527636}], "download_size": 5852397694, "dataset_size": 14944052504}}
|
2023-09-11T00:54:24+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "embedded_1"
More Information needed
|
[
"# Dataset Card for \"embedded_1\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"embedded_1\"\n\nMore Information needed"
] |
[
6,
13
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"embedded_1\"\n\nMore Information needed"
] |
602866e4d2ad0a22f03316d001e3d9a008437c13
|
# Dataset of kotone/コトネ (Pokémon)
This is the dataset of kotone/コトネ (Pokémon), containing 500 images and their tags.
The core tags of this character are `brown_hair, twintails, hat, brown_eyes, bow, cabbie_hat, long_hair, white_headwear, hat_bow, red_bow`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 386.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kotone_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 265.61 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kotone_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 953 | 494.85 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kotone_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 360.90 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kotone_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 953 | 641.98 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kotone_pokemon/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/kotone_pokemon',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 10 |  |  |  |  |  | 1girl, team_rocket_uniform, black_headwear, looking_at_viewer, thigh_boots, thighhighs, pokemon_(creature), white_gloves, open_mouth, blush, grey_gloves, hand_up, holding_poke_ball, jacket, logo, poke_ball_(basic), cosplay, eyelashes, skirt, smile, white_belt |
| 1 | 9 |  |  |  |  |  | 1girl, closed_mouth, looking_at_viewer, red_shirt, smile, eyelashes, blush, collarbone, solo, upper_body, blue_overalls, simple_background, white_background |
| 2 | 6 |  |  |  |  |  | 1girl, :d, blue_overalls, open_mouth, red_shirt, red_footwear, shoes, teeth, thighhighs, tongue, yellow_bag, riding_pokemon |
| 3 | 5 |  |  |  |  |  | 1girl, holding_poke_ball, overalls, poke_ball_(basic), red_shirt, simple_background, solo, white_background, closed_mouth, looking_at_viewer, smile, bag, blush |
| 4 | 5 |  |  |  |  |  | 1girl, blue_overalls, closed_mouth, red_footwear, red_shirt, shoes, eyelashes, holding_pokemon, sitting, smile, white_thighhighs, blush, grass, white_background |
| 5 | 8 |  |  |  |  |  | 1girl, :d, open_mouth, red_shirt, tongue, eyelashes, holding_pokemon, blue_overalls, blush_stickers, green_background, notice_lines, twitter_username |
| 6 | 19 |  |  |  |  |  | 1girl, hat_ribbon, overalls, red_ribbon, short_twintails, solo, smile, white_thighhighs |
| 7 | 7 |  |  |  |  |  | 1girl, hat_ribbon, open_mouth, overalls, red_ribbon, smile, blush, pokemon_(creature), thighhighs, solo |
| 8 | 15 |  |  |  |  |  | 1girl, official_alternate_costume, detached_sleeves, blue_kimono, pokemon_(creature), eyelashes, floral_print, holding, looking_at_viewer, open_mouth, :d, hand_up, obi, yukata |
| 9 | 15 |  |  |  |  |  | 1girl, hetero, penis, 1boy, hat_ribbon, red_ribbon, blush, solo_focus, cum, nipples, pussy, medium_breasts, sex, thighhighs, one_eye_closed, open_mouth, spread_legs, pokemon_(creature), short_twintails, uncensored, vaginal |
| 10 | 12 |  |  |  |  |  | hair_flower, 1girl, blue_flower, detached_sleeves, official_alternate_costume, :d, bangs, bare_shoulders, green_dress, open_mouth, solo, blush, breasts, eyelashes, pokemon_(creature), sandals, brown_footwear, yellow_hairband |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | team_rocket_uniform | black_headwear | looking_at_viewer | thigh_boots | thighhighs | pokemon_(creature) | white_gloves | open_mouth | blush | grey_gloves | hand_up | holding_poke_ball | jacket | logo | poke_ball_(basic) | cosplay | eyelashes | skirt | smile | white_belt | closed_mouth | red_shirt | collarbone | solo | upper_body | blue_overalls | simple_background | white_background | :d | red_footwear | shoes | teeth | tongue | yellow_bag | riding_pokemon | overalls | bag | holding_pokemon | sitting | white_thighhighs | grass | blush_stickers | green_background | notice_lines | twitter_username | hat_ribbon | red_ribbon | short_twintails | official_alternate_costume | detached_sleeves | blue_kimono | floral_print | holding | obi | yukata | hetero | penis | 1boy | solo_focus | cum | nipples | pussy | medium_breasts | sex | one_eye_closed | spread_legs | uncensored | vaginal | hair_flower | blue_flower | bangs | bare_shoulders | green_dress | breasts | sandals | brown_footwear | yellow_hairband |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:----------------------|:-----------------|:--------------------|:--------------|:-------------|:---------------------|:---------------|:-------------|:--------|:--------------|:----------|:--------------------|:---------|:-------|:--------------------|:----------|:------------|:--------|:--------|:-------------|:---------------|:------------|:-------------|:-------|:-------------|:----------------|:--------------------|:-------------------|:-----|:---------------|:--------|:--------|:---------|:-------------|:-----------------|:-----------|:------|:------------------|:----------|:-------------------|:--------|:-----------------|:-------------------|:---------------|:-------------------|:-------------|:-------------|:------------------|:-----------------------------|:-------------------|:--------------|:---------------|:----------|:------|:---------|:---------|:--------|:-------|:-------------|:------|:----------|:--------|:-----------------|:------|:-----------------|:--------------|:-------------|:----------|:--------------|:--------------|:--------|:-----------------|:--------------|:----------|:----------|:-----------------|:------------------|
| 0 | 10 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 9 |  |  |  |  |  | X | | | X | | | | | | X | | | | | | | | X | | X | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 6 |  |  |  |  |  | X | | | | | X | | | X | | | | | | | | | | | | | | X | | | | X | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 5 |  |  |  |  |  | X | | | X | | | | | | X | | | X | | | X | | | | X | | X | X | | X | | | X | X | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | | | | | | | | | X | | | | | | | | X | | X | | X | X | | | | X | | X | | X | X | | | | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 8 |  |  |  |  |  | X | | | | | | | | X | | | | | | | | | X | | | | | X | | | | X | | | X | | | | X | | | | | X | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 19 |  |  |  |  |  | X | | | | | | | | | | | | | | | | | | | X | | | | | X | | | | | | | | | | | | X | | | | X | | | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 7 |  |  |  |  |  | X | | | | | X | X | | X | X | | | | | | | | | | X | | | | | X | | | | | | | | | | | | X | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 15 |  |  |  |  |  | X | | | X | | | X | | X | | | X | | | | | | X | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 15 |  |  |  |  |  | X | | | | | X | X | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | |
| 10 | 12 |  |  |  |  |  | X | | | | | | X | | X | X | | | | | | | | X | | | | | | | X | | | | | X | | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X |
|
CyberHarem/kotone_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T22:53:56+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T18:08:20+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of kotone/コトネ (Pokémon)
===============================
This is the dataset of kotone/コトネ (Pokémon), containing 500 images and their tags.
The core tags of this character are 'brown\_hair, twintails, hat, brown\_eyes, bow, cabbie\_hat, long\_hair, white\_headwear, hat\_bow, red\_bow', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
383327a00c694b3efa2d0e43bea7ccf18888551a
|
# Dataset Card for "communities_unproc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
amitrajitbh1/communities_unproc
|
[
"region:us"
] |
2023-09-10T23:27:34+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "author", "dtype": "string"}, {"name": "body", "dtype": "string"}, {"name": "normalizedBody", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "subreddit_id", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2450236670.538612, "num_examples": 497952}], "download_size": 1497430442, "dataset_size": 2450236670.538612}}
|
2023-09-10T23:32:26+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "communities_unproc"
More Information needed
|
[
"# Dataset Card for \"communities_unproc\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"communities_unproc\"\n\nMore Information needed"
] |
[
6,
17
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"communities_unproc\"\n\nMore Information needed"
] |
d239165922a1b80e0dd98caf2e2e69a16ddf454f
|
# Dataset of oda_nobunaga/織田信長/织田信长 (Fate/Grand Order)
This is the dataset of oda_nobunaga/織田信長/织田信长 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `long_hair, red_eyes, black_hair, hat, peaked_cap, bangs, very_long_hair, black_headwear, hair_between_eyes, sidelocks`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 688.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/oda_nobunaga_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 396.69 MiB | [Download](https://huggingface.co/datasets/CyberHarem/oda_nobunaga_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1142 | 804.45 MiB | [Download](https://huggingface.co/datasets/CyberHarem/oda_nobunaga_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 609.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/oda_nobunaga_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1142 | 1.11 GiB | [Download](https://huggingface.co/datasets/CyberHarem/oda_nobunaga_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/oda_nobunaga_fgo',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 7 |  |  |  |  |  | 1girl, looking_at_viewer, military_hat, military_uniform, smile, solo, white_gloves, belt, long_sleeves, red_cape, family_crest, hand_on_hip, oda_uri, upper_body, jacket |
| 1 | 28 |  |  |  |  |  | 1girl, military_uniform, solo, katana, looking_at_viewer, military_hat, oda_uri, red_cape, smile, family_crest, belt, holding_sword, white_gloves, long_sleeves, pants, sheath |
| 2 | 8 |  |  |  |  |  | 1boy, katana, long_sleeves, looking_at_viewer, male_focus, military_uniform, solo, ponytail, belt, holding_sword, red_jacket, white_gloves, black_cape, closed_mouth, red_pants, sheathed, oda_uri, family_crest, smile, standing |
| 3 | 11 |  |  |  |  |  | 1boy, male_focus, ponytail, solo, black_cape, jacket, long_sleeves, simple_background, upper_body, white_gloves, looking_at_viewer, military_uniform, open_mouth, white_background, blush, family_crest, fire, smile |
| 4 | 6 |  |  |  |  |  | 1boy, cape, looking_at_viewer, male_focus, military_uniform, ponytail, solo, white_gloves, belt, open_mouth, tears, military_hat, simple_background |
| 5 | 9 |  |  |  |  |  | 1girl, black_bodysuit, collared_cape, hair_over_one_eye, looking_at_viewer, oda_uri, red_hair, solo, chain, gloves, smile, katana, large_breasts, belt, family_crest, parted_lips, popped_collar, holding_sword |
| 6 | 6 |  |  |  |  |  | 1girl, black_bodysuit, breasts, hair_over_one_eye, high_collar, looking_at_viewer, red_hair, smile, solo, upper_body, chain, collared_cape, embers, parted_lips |
| 7 | 7 |  |  |  |  |  | short_sleeves, simple_background, white_background, ponytail, red_shirt, 1boy, male_focus, solo, fiery_hair, fire, looking_at_viewer, shorts, t-shirt |
| 8 | 14 |  |  |  |  |  | red_shirt, 1girl, solo, striped_skirt, letterman_jacket, headphones_around_neck, holding, looking_at_viewer, long_sleeves, instrument, collarbone, grin, open_jacket, open_mouth, weapon |
| 9 | 16 |  |  |  |  |  | 1girl, navel, solo, looking_at_viewer, black_bikini, headphones_around_neck, medium_breasts, cleavage, grin, holding, weapon, frilled_bikini, open_mouth, open_jacket |
| 10 | 6 |  |  |  |  |  | looking_at_viewer, oda_uri, 1girl, fur_trim, red_bikini, santa_bikini, solo, thighhighs, christmas, medium_breasts, belt, cleavage, epaulettes, family_crest, gun, navel, ponytail, red_cape, red_gloves, simple_background, smile, white_background |
| 11 | 5 |  |  |  |  |  | looking_at_viewer, wide_sleeves, long_sleeves, open_mouth, 1girl, brown_hair, hair_flower, obi, red_kimono, solo, 1boy, :d, apron, black_kimono, egasumi, floral_print, hagoita, hakama, hanetsuki, oda_uri, sandals, skirt, tabi, wa_maid, zouri |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | military_hat | military_uniform | smile | solo | white_gloves | belt | long_sleeves | red_cape | family_crest | hand_on_hip | oda_uri | upper_body | jacket | katana | holding_sword | pants | sheath | 1boy | male_focus | ponytail | red_jacket | black_cape | closed_mouth | red_pants | sheathed | standing | simple_background | open_mouth | white_background | blush | fire | cape | tears | black_bodysuit | collared_cape | hair_over_one_eye | red_hair | chain | gloves | large_breasts | parted_lips | popped_collar | breasts | high_collar | embers | short_sleeves | red_shirt | fiery_hair | shorts | t-shirt | striped_skirt | letterman_jacket | headphones_around_neck | holding | instrument | collarbone | grin | open_jacket | weapon | navel | black_bikini | medium_breasts | cleavage | frilled_bikini | fur_trim | red_bikini | santa_bikini | thighhighs | christmas | epaulettes | gun | red_gloves | wide_sleeves | brown_hair | hair_flower | obi | red_kimono | :d | apron | black_kimono | egasumi | floral_print | hagoita | hakama | hanetsuki | sandals | skirt | tabi | wa_maid | zouri |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------------------|:---------------|:-------------------|:--------|:-------|:---------------|:-------|:---------------|:-----------|:---------------|:--------------|:----------|:-------------|:---------|:---------|:----------------|:--------|:---------|:-------|:-------------|:-----------|:-------------|:-------------|:---------------|:------------|:-----------|:-----------|:--------------------|:-------------|:-------------------|:--------|:-------|:-------|:--------|:-----------------|:----------------|:--------------------|:-----------|:--------|:---------|:----------------|:--------------|:----------------|:----------|:--------------|:---------|:----------------|:------------|:-------------|:---------|:----------|:----------------|:-------------------|:-------------------------|:----------|:-------------|:-------------|:-------|:--------------|:---------|:--------|:---------------|:-----------------|:-----------|:-----------------|:-----------|:-------------|:---------------|:-------------|:------------|:-------------|:------|:-------------|:---------------|:-------------|:--------------|:------|:-------------|:-----|:--------|:---------------|:----------|:---------------|:----------|:---------|:------------|:----------|:--------|:-------|:----------|:--------|
| 0 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 28 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | | X | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 8 |  |  |  |  |  | | X | | X | X | X | X | X | X | | X | | X | | | X | X | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 11 |  |  |  |  |  | | X | | X | X | X | X | | X | | X | | | X | X | | | | | X | X | X | | X | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 6 |  |  |  |  |  | | X | X | X | | X | X | X | | | | | | | | | | | | X | X | X | | | | | | | X | X | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 9 |  |  |  |  |  | X | X | | | X | X | | X | | | X | | X | | | X | X | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 6 |  |  |  |  |  | X | X | | | X | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | | | X | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 7 |  |  |  |  |  | | X | | | | X | | | | | | | | | | | | | | X | X | X | | | | | | | X | | X | | X | | | | | | | | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 14 |  |  |  |  |  | X | X | | | | X | | | X | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | X | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 16 |  |  |  |  |  | X | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | X | X | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 6 |  |  |  |  |  | X | X | | | X | X | | X | | X | X | | X | | | | | | | | | X | | | | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | X | X | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | |
| 11 | 5 |  |  |  |  |  | X | X | | | | X | | | X | | | | X | | | | | | | X | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/oda_nobunaga_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T23:31:49+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-11T22:32:07+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of oda\_nobunaga/織田信長/织田信长 (Fate/Grand Order)
=====================================================
This is the dataset of oda\_nobunaga/織田信長/织田信长 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'long\_hair, red\_eyes, black\_hair, hat, peaked\_cap, bangs, very\_long\_hair, black\_headwear, hair\_between\_eyes, sidelocks', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
484ad0a70e457f4da0d8b4d6ba08c05dc83a81e3
|
# Dataset Card for "communities_unp_content"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
amitrajitbh1/communities_unp_content
|
[
"region:us"
] |
2023-09-10T23:48:07+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "author", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "subreddit_id", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1418165412.7144172, "num_examples": 850001}], "download_size": 1056960430, "dataset_size": 1418165412.7144172}}
|
2023-09-13T00:41:28+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "communities_unp_content"
More Information needed
|
[
"# Dataset Card for \"communities_unp_content\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"communities_unp_content\"\n\nMore Information needed"
] |
[
6,
18
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"communities_unp_content\"\n\nMore Information needed"
] |
bc52c474682248c1c5902320adc567443b4783b6
|
# Dataset Card for "communities_content"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
amitrajitbh1/communities_content
|
[
"region:us"
] |
2023-09-11T00:06:56+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "author", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "subreddit_id", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1745194094, "num_examples": 850001}], "download_size": 1053929701, "dataset_size": 1745194094}}
|
2023-09-13T00:51:37+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "communities_content"
More Information needed
|
[
"# Dataset Card for \"communities_content\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"communities_content\"\n\nMore Information needed"
] |
[
6,
15
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"communities_content\"\n\nMore Information needed"
] |
765d4b08eefd300959c42c033d2c089ffef03aec
|
# Dataset of clara (Pokémon)
This is the dataset of clara (Pokémon), containing 500 images and their tags.
The core tags of this character are `pink_hair, mole, mole_under_mouth, bangs, breasts, pink_lips, bow, purple_eyes, eyeshadow, hairband, eyelashes, pink_eyeshadow, large_breasts`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:---------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 659.01 MiB | [Download](https://huggingface.co/datasets/CyberHarem/clara_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 365.76 MiB | [Download](https://huggingface.co/datasets/CyberHarem/clara_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1216 | 783.82 MiB | [Download](https://huggingface.co/datasets/CyberHarem/clara_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 578.47 MiB | [Download](https://huggingface.co/datasets/CyberHarem/clara_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1216 | 1.10 GiB | [Download](https://huggingface.co/datasets/CyberHarem/clara_pokemon/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/clara_pokemon',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 8 |  |  |  |  |  | 1girl, bracelet, collared_shirt, dynamax_band, makeup, mismatched_legwear, shorts, single_glove, smile, thighhighs, white_jacket, solo, one_eye_closed, partially_fingerless_gloves, hands_up, ring, fur_coat, looking_at_viewer, open_mouth |
| 1 | 10 |  |  |  |  |  | 1girl, bracelet, collared_shirt, holding_poke_ball, looking_at_viewer, shorts, single_glove, smile, thighhighs, dynamax_band, makeup, poke_ball_(basic), solo, white_jacket, mismatched_legwear, hands_up |
| 2 | 5 |  |  |  |  |  | 1girl, bracelet, collared_shirt, dynamax_band, full_body, hand_up, mismatched_legwear, shoes, shorts, single_glove, solo, standing, thighhighs, white_jacket, makeup, shaded_face, smile, white_background, blue_eyes, index_finger_raised, looking_at_viewer, ring, simple_background |
| 3 | 5 |  |  |  |  |  | 1girl, dynamax_band, looking_at_viewer, makeup, navel, nipples, single_glove, smile, solo, blue_eyes, mismatched_legwear, pussy, thighhighs, fur_coat, open_clothes, partially_fingerless_gloves, shiny_skin, anus, blush, collarbone, hair_bow, jacket, nude, open_mouth, spread_legs |
| 4 | 19 |  |  |  |  |  | 1girl, hetero, 1boy, blush, nipples, penis, open_mouth, sex, looking_at_viewer, solo_focus, sweat, vaginal, thighhighs, navel, smile, cum_in_pussy, pov, heart, mosaic_censoring, pubic_hair, spread_legs, makeup, shirt_lift, straddling, uncensored |
| 5 | 5 |  |  |  |  |  | 1boy, 1girl, hetero, ahegao, looking_back, open_mouth, patreon_username, penis, rolling_eyes, sex_from_behind, solo_focus, thighhighs, tongue_out, uncensored, blush, smile, testicles, web_address, anal, anus, asymmetrical_legwear, blue_eyes, cum, fucked_silly, hair_bow, huge_ass, nipples, nude, overflow, pussy, shiny, teeth, vaginal, watermark |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bracelet | collared_shirt | dynamax_band | makeup | mismatched_legwear | shorts | single_glove | smile | thighhighs | white_jacket | solo | one_eye_closed | partially_fingerless_gloves | hands_up | ring | fur_coat | looking_at_viewer | open_mouth | holding_poke_ball | poke_ball_(basic) | full_body | hand_up | shoes | standing | shaded_face | white_background | blue_eyes | index_finger_raised | simple_background | navel | nipples | pussy | open_clothes | shiny_skin | anus | blush | collarbone | hair_bow | jacket | nude | spread_legs | hetero | 1boy | penis | sex | solo_focus | sweat | vaginal | cum_in_pussy | pov | heart | mosaic_censoring | pubic_hair | shirt_lift | straddling | uncensored | ahegao | looking_back | patreon_username | rolling_eyes | sex_from_behind | tongue_out | testicles | web_address | anal | asymmetrical_legwear | cum | fucked_silly | huge_ass | overflow | shiny | teeth | watermark |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------|:-----------------|:---------------|:---------|:---------------------|:---------|:---------------|:--------|:-------------|:---------------|:-------|:-----------------|:------------------------------|:-----------|:-------|:-----------|:--------------------|:-------------|:--------------------|:--------------------|:------------|:----------|:--------|:-----------|:--------------|:-------------------|:------------|:----------------------|:--------------------|:--------|:----------|:--------|:---------------|:-------------|:-------|:--------|:-------------|:-----------|:---------|:-------|:--------------|:---------|:-------|:--------|:------|:-------------|:--------|:----------|:---------------|:------|:--------|:-------------------|:-------------|:-------------|:-------------|:-------------|:---------|:---------------|:-------------------|:---------------|:------------------|:-------------|:------------|:--------------|:-------|:-----------------------|:------|:---------------|:-----------|:-----------|:--------|:--------|:------------|
| 0 | 8 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 10 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | | | X | | | X | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | | | | X | | X | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 5 |  |  |  |  |  | X | | | X | X | X | | X | X | X | | X | | X | | | X | X | X | | | | | | | | | X | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 19 |  |  |  |  |  | X | | | | X | | | | X | X | | | | | | | | X | X | | | | | | | | | | | | X | X | | | | | X | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | |
| 5 | 5 |  |  |  |  |  | X | | | | | | | | X | X | | | | | | | | | X | | | | | | | | | X | | | | X | X | | | X | X | | X | | X | | X | X | X | | X | | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/clara_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T00:09:12+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T18:18:49+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of clara (Pokémon)
==========================
This is the dataset of clara (Pokémon), containing 500 images and their tags.
The core tags of this character are 'pink\_hair, mole, mole\_under\_mouth, bangs, breasts, pink\_lips, bow, purple\_eyes, eyeshadow, hairband, eyelashes, pink\_eyeshadow, large\_breasts', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
85130ef41d724e499ba21da176fc55bc4c3d24d5
|
# Dataset of ichikawa_hinana/市川雛菜 (THE iDOLM@STER: SHINY COLORS)
This is the dataset of ichikawa_hinana/市川雛菜 (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `brown_hair, brown_eyes, long_hair, bangs, parted_bangs, hair_bun, breasts, single_hair_bun, single_side_bun, ribbon`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:-----------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 841.81 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ichikawa_hinana_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 433.43 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ichikawa_hinana_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1233 | 957.41 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ichikawa_hinana_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 725.51 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ichikawa_hinana_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1233 | 1.44 GiB | [Download](https://huggingface.co/datasets/CyberHarem/ichikawa_hinana_theidolmstershinycolors/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/ichikawa_hinana_theidolmstershinycolors',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 12 |  |  |  |  |  | 1girl, looking_at_viewer, side_ponytail, solo, crop_top, fingerless_gloves, navel, hair_ribbon, midriff, nail_polish, white_gloves, pleated_skirt, short_sleeves, necklace, open_jacket, smile, white_shirt, blush, miniskirt, simple_background, thigh_strap, white_background, white_jacket, white_skirt |
| 1 | 58 |  |  |  |  |  | school_uniform, 1girl, white_shirt, neck_ribbon, open_mouth, looking_at_viewer, smile, solo, pleated_skirt, yellow_cardigan, plaid_skirt, blush, open_clothes, black_ribbon, white_background, simple_background, miniskirt, jacket, long_sleeves |
| 2 | 6 |  |  |  |  |  | 1girl, blush, looking_at_viewer, skirt, solo, hair_ribbon, heart, smile, black_shirt, earrings, long_sleeves, open_clothes, nail_polish, pink_jacket, simple_background, sleeveless_shirt, upper_body |
| 3 | 23 |  |  |  |  |  | cleavage, 1girl, looking_at_viewer, blush, collarbone, white_bikini, navel, solo, smile, bare_shoulders, open_mouth, large_breasts, medium_breasts, simple_background, white_background, side-tie_bikini_bottom, sitting, hair_scrunchie, hairclip |
| 4 | 11 |  |  |  |  |  | 1girl, looking_at_viewer, solo, blush, dress, collarbone, glasses, smile, jacket, sleeveless, hairclip, simple_background, upper_body, white_background, bow, stuffed_toy, yellow_background |
| 5 | 6 |  |  |  |  |  | 1girl, blush, collarbone, large_breasts, looking_at_viewer, school_swimsuit, wet, blue_one-piece_swimsuit, cleavage, solo, open_mouth, upper_body |
| 6 | 6 |  |  |  |  |  | blush, long_sleeves, maid_headdress, smile, 1girl, black_dress, enmaided, frilled_apron, looking_at_viewer, maid_apron, solo, white_apron, ponytail, upper_body |
| 7 | 18 |  |  |  |  |  | 1girl, blush, 1boy, hetero, open_mouth, solo_focus, large_breasts, looking_at_viewer, nipples, penis, sweat, smile, mosaic_censoring, collarbone, hair_ribbon, pov, paizuri, shirt, upper_body |
| 8 | 8 |  |  |  |  |  | 1girl, blush, double_bun, earrings, looking_at_viewer, hairclip, long_sleeves, nail_polish, solo, blue_nails, open_mouth, upper_body, hair_ribbon, heart, shirt, smile, plaid_skirt, ribbon_choker, stuffed_toy |
| 9 | 5 |  |  |  |  |  | 1girl, blush, cleavage, collarbone, large_breasts, solo, underwear_only, bare_shoulders, looking_at_viewer, navel, panties, bow, hair_ribbon, open_mouth, bed_sheet, curtains, hair_ornament, indoors, medium_breasts, on_back, smile, sweat, window, yellow_bra |
| 10 | 7 |  |  |  |  |  | animal_ear_fluff, black_nails, chain, hairclip, nail_polish, open_mouth, 1girl, black_sailor_collar, long_sleeves, looking_at_viewer, miniskirt, solo, black_skirt, fang, pleated_skirt, dog_ears, large_breasts, neckerchief, red_shirt, wolf_ears, :d, animal_collar, blush, bone_hair_ornament, cardigan, collarbone, dog_tail, serafuku, simple_background, white_background, wolf_girl |
| 11 | 15 |  |  |  |  |  | 1girl, hair_bow, solo, bear_ears, twintails, looking_at_viewer, fake_animal_ears, puffy_short_sleeves, wrist_cuffs, blush, open_mouth, :d, bowtie, brown_bow, brown_hairband, brown_shirt, hair_ribbon, heart, skirt, blue_bow, pink_bow, stuffed_toy, upper_body, white_background |
| 12 | 8 |  |  |  |  |  | 1girl, fake_animal_ears, looking_at_viewer, playboy_bunny, rabbit_ears, solo, black_leotard, blush, smile, bare_shoulders, medium_breasts, strapless_leotard, bowtie, cleavage, detached_collar, simple_background, white_background, wrist_cuffs, fake_tail, open_mouth, rabbit_tail, black_footwear, black_pantyhose, covered_navel, high_heels, large_breasts |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | side_ponytail | solo | crop_top | fingerless_gloves | navel | hair_ribbon | midriff | nail_polish | white_gloves | pleated_skirt | short_sleeves | necklace | open_jacket | smile | white_shirt | blush | miniskirt | simple_background | thigh_strap | white_background | white_jacket | white_skirt | school_uniform | neck_ribbon | open_mouth | yellow_cardigan | plaid_skirt | open_clothes | black_ribbon | jacket | long_sleeves | skirt | heart | black_shirt | earrings | pink_jacket | sleeveless_shirt | upper_body | cleavage | collarbone | white_bikini | bare_shoulders | large_breasts | medium_breasts | side-tie_bikini_bottom | sitting | hair_scrunchie | hairclip | dress | glasses | sleeveless | bow | stuffed_toy | yellow_background | school_swimsuit | wet | blue_one-piece_swimsuit | maid_headdress | black_dress | enmaided | frilled_apron | maid_apron | white_apron | ponytail | 1boy | hetero | solo_focus | nipples | penis | sweat | mosaic_censoring | pov | paizuri | shirt | double_bun | blue_nails | ribbon_choker | underwear_only | panties | bed_sheet | curtains | hair_ornament | indoors | on_back | window | yellow_bra | animal_ear_fluff | black_nails | chain | black_sailor_collar | black_skirt | fang | dog_ears | neckerchief | red_shirt | wolf_ears | :d | animal_collar | bone_hair_ornament | cardigan | dog_tail | serafuku | wolf_girl | hair_bow | bear_ears | twintails | fake_animal_ears | puffy_short_sleeves | wrist_cuffs | bowtie | brown_bow | brown_hairband | brown_shirt | blue_bow | pink_bow | playboy_bunny | rabbit_ears | black_leotard | strapless_leotard | detached_collar | fake_tail | rabbit_tail | black_footwear | black_pantyhose | covered_navel | high_heels |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------------------|:----------------|:-------|:-----------|:--------------------|:--------|:--------------|:----------|:--------------|:---------------|:----------------|:----------------|:-----------|:--------------|:--------|:--------------|:--------|:------------|:--------------------|:--------------|:-------------------|:---------------|:--------------|:-----------------|:--------------|:-------------|:------------------|:--------------|:---------------|:---------------|:---------|:---------------|:--------|:--------|:--------------|:-----------|:--------------|:-------------------|:-------------|:-----------|:-------------|:---------------|:-----------------|:----------------|:-----------------|:-------------------------|:----------|:-----------------|:-----------|:--------|:----------|:-------------|:------|:--------------|:--------------------|:------------------|:------|:--------------------------|:-----------------|:--------------|:-----------|:----------------|:-------------|:--------------|:-----------|:-------|:---------|:-------------|:----------|:--------|:--------|:-------------------|:------|:----------|:--------|:-------------|:-------------|:----------------|:-----------------|:----------|:------------|:-----------|:----------------|:----------|:----------|:---------|:-------------|:-------------------|:--------------|:--------|:----------------------|:--------------|:-------|:-----------|:--------------|:------------|:------------|:-----|:----------------|:---------------------|:-----------|:-----------|:-----------|:------------|:-----------|:------------|:------------|:-------------------|:----------------------|:--------------|:---------|:------------|:-----------------|:--------------|:-----------|:-----------|:----------------|:--------------|:----------------|:--------------------|:------------------|:------------|:--------------|:-----------------|:------------------|:----------------|:-------------|
| 0 | 12 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 58 |  |  |  |  |  | X | X | | X | | | | | | | | X | | | | X | X | X | X | X | | X | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 6 |  |  |  |  |  | X | X | | X | | | | X | | X | | | | | | X | | X | | X | | | | | | | | | | X | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 23 |  |  |  |  |  | X | X | | X | | | X | | | | | | | | | X | | X | | X | | X | | | | | X | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 11 |  |  |  |  |  | X | X | | X | | | | | | | | | | | | X | | X | | X | | X | | | | | | | | | | X | | | | | | | | X | | X | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 6 |  |  |  |  |  | X | X | | X | | | | | | | | | | | | | | X | | | | | | | | | X | | | | | | | | | | | | | X | X | X | | | X | | | | | | | | | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 6 |  |  |  |  |  | X | X | | X | | | | | | | | | | | | X | | X | | | | | | | | | | | | | | | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 18 |  |  |  |  |  | X | X | | | | | | X | | | | | | | | X | | X | | | | | | | | | X | | | | | | | | | | | | | X | | X | | | X | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 8 |  |  |  |  |  | X | X | | X | | | | X | | X | | | | | | X | | X | | | | | | | | | X | | X | | | | X | | X | | X | | | X | | | | | | | | | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 5 |  |  |  |  |  | X | X | | X | | | X | X | | | | | | | | X | | X | | | | | | | | | X | | | | | | | | | | | | | | X | X | | X | X | X | | | | | | | | X | | | | | | | | | | | | | | | | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 7 |  |  |  |  |  | X | X | | X | | | | | | X | | X | | | | | | X | X | X | | X | | | | | X | | | | | | X | | | | | | | | | X | | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | |
| 11 | 15 |  |  |  |  |  | X | X | | X | | | | X | | | | | | | | | | X | | | | X | | | | | X | | | | | | | X | X | | | | | X | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | |
| 12 | 8 |  |  |  |  |  | X | X | | X | | | | | | | | | | | | X | | X | | X | | X | | | | | X | | | | | | | | | | | | | | X | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | X | X | | | | | | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/ichikawa_hinana_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T00:17:41+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T07:31:17+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of ichikawa\_hinana/市川雛菜 (THE iDOLM@STER: SHINY COLORS)
===============================================================
This is the dataset of ichikawa\_hinana/市川雛菜 (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'brown\_hair, brown\_eyes, long\_hair, bangs, parted\_bangs, hair\_bun, breasts, single\_hair\_bun, single\_side\_bun, ribbon', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
151a9f932fd8fa585e51f28dc0d0b6a4fbf2a270
|
# Dataset Card for "soict_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
linhqyy/soict_train
|
[
"region:us"
] |
2023-09-11T00:40:04+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sentence", "dtype": "string"}, {"name": "intent", "dtype": "string"}, {"name": "sentence_annotation", "dtype": "string"}, {"name": "entities", "list": [{"name": "type", "dtype": "string"}, {"name": "filler", "dtype": "string"}]}, {"name": "file", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2155619.7, "num_examples": 6741}, {"name": "test", "num_bytes": 239513.3, "num_examples": 749}], "download_size": 848782, "dataset_size": 2395133.0}}
|
2023-09-11T00:40:05+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "soict_train"
More Information needed
|
[
"# Dataset Card for \"soict_train\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"soict_train\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"soict_train\"\n\nMore Information needed"
] |
c8a94f039e9674c1ae0164eb504e5bb7e038014b
|
# Dataset of scathach/スカサハ/斯卡哈 (Fate/Grand Order)
This is the dataset of scathach/スカサハ/斯卡哈 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `long_hair, purple_hair, breasts, red_eyes, large_breasts, bangs, hair_between_eyes, very_long_hair, hair_intakes`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:--------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 784.34 MiB | [Download](https://huggingface.co/datasets/CyberHarem/scathach_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 440.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/scathach_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1240 | 903.77 MiB | [Download](https://huggingface.co/datasets/CyberHarem/scathach_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 692.07 MiB | [Download](https://huggingface.co/datasets/CyberHarem/scathach_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1240 | 1.24 GiB | [Download](https://huggingface.co/datasets/CyberHarem/scathach_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/scathach_fgo',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 19 |  |  |  |  |  | 1girl, hair_flower, hibiscus, looking_at_viewer, solo, navel, purple_bikini, bracelet, bridal_garter, pink_bikini, smile, water, cleavage, gae_bolg_(fate), outdoors, bare_shoulders, collarbone, day, parted_lips, wet, holding, spear, beach, blush, lying, partially_submerged, sarong |
| 1 | 9 |  |  |  |  |  | 1girl, covered_navel, gae_bolg_(fate), holding_weapon, looking_at_viewer, pauldrons, purple_bodysuit, solo, spear, smile |
| 2 | 8 |  |  |  |  |  | 1girl, bare_shoulders, cleavage, detached_collar, fake_animal_ears, fishnet_pantyhose, gae_bolg_(fate), highleg_leotard, looking_at_viewer, official_alternate_costume, playboy_bunny, purple_leotard, rabbit_ears, solo, spear, thighs, wrist_cuffs, blush, bow, smile, hairband, holding_weapon |
| 3 | 5 |  |  |  |  |  | 1girl, bare_shoulders, cleavage, detached_collar, fake_animal_ears, fishnet_pantyhose, gae_bolg_(fate), highleg_leotard, looking_at_viewer, official_alternate_costume, playboy_bunny, purple_leotard, rabbit_ears, solo, spear, strapless_leotard, wrist_cuffs, blush, high_heels, purple_bowtie, rabbit_tail, thighs, purple_footwear, purple_hairband, kneeling, smile |
| 4 | 7 |  |  |  |  |  | 1girl, bare_shoulders, blush, cleavage, detached_collar, fake_animal_ears, fishnet_pantyhose, looking_at_viewer, official_alternate_costume, playboy_bunny, purple_leotard, rabbit_ears, smile, solo, highleg_leotard, thighs, wrist_cuffs, bowtie, purple_hairband, white_background, rabbit_tail, simple_background, sitting, strapless_leotard |
| 5 | 7 |  |  |  |  |  | 1girl, bare_shoulders, cleavage, detached_collar, fake_animal_ears, fishnet_pantyhose, highleg_leotard, looking_at_viewer, official_alternate_costume, playboy_bunny, purple_leotard, rabbit_ears, solo, strapless_leotard, wrist_cuffs, blush, holding_cup, smile, wine_glass, wine_bottle, covered_navel, hairband, holding_bottle, purple_bowtie, thighs, sitting |
| 6 | 16 |  |  |  |  |  | 1girl, looking_at_viewer, ribbed_sweater, solo, turtleneck_sweater, long_sleeves, blush, simple_background, white_background, white_sweater, closed_mouth, smile |
| 7 | 9 |  |  |  |  |  | 1girl, looking_at_viewer, solo, simple_background, white_background, long_sleeves, blush, closed_mouth, white_shirt, collarbone, jeans, open_jacket, smile |
| 8 | 17 |  |  |  |  |  | 1girl, pencil_skirt, solo, looking_at_viewer, long_sleeves, cleavage, dress_shirt, smile, white_shirt, office_lady, skirt_suit, teacher, black_pantyhose, black_skirt, blush, collared_shirt, jacket, sitting, alternate_costume, holding, bespectacled, black_bra, thighs, closed_mouth, collarbone, crossed_legs, desk, indoors, simple_background, white_background |
| 9 | 16 |  |  |  |  |  | 1girl, bare_shoulders, cleavage, looking_at_viewer, solo, elbow_gloves, necklace, purple_dress, blush, purple_gloves, smile, tiara, collarbone, hair_flower, closed_mouth, thighhighs |
| 10 | 5 |  |  |  |  |  | 1girl, bare_shoulders, purple_dress, purple_ribbon, solo, tiara, headpiece, holding_wand, looking_at_viewer, ponytail, thighs, jewelry, smile, white_thighhighs, blush, fur-trimmed_dress, hair_ribbon, open_mouth, runes |
| 11 | 9 |  |  |  |  |  | 1girl, bare_shoulders, collarbone, looking_at_viewer, solo, cleavage, underwear_only, lingerie, navel, thighs, parted_lips, black_bra, black_panties, blush, armpits, stomach |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | hair_flower | hibiscus | looking_at_viewer | solo | navel | purple_bikini | bracelet | bridal_garter | pink_bikini | smile | water | cleavage | gae_bolg_(fate) | outdoors | bare_shoulders | collarbone | day | parted_lips | wet | holding | spear | beach | blush | lying | partially_submerged | sarong | covered_navel | holding_weapon | pauldrons | purple_bodysuit | detached_collar | fake_animal_ears | fishnet_pantyhose | highleg_leotard | official_alternate_costume | playboy_bunny | purple_leotard | rabbit_ears | thighs | wrist_cuffs | bow | hairband | strapless_leotard | high_heels | purple_bowtie | rabbit_tail | purple_footwear | purple_hairband | kneeling | bowtie | white_background | simple_background | sitting | holding_cup | wine_glass | wine_bottle | holding_bottle | ribbed_sweater | turtleneck_sweater | long_sleeves | white_sweater | closed_mouth | white_shirt | jeans | open_jacket | pencil_skirt | dress_shirt | office_lady | skirt_suit | teacher | black_pantyhose | black_skirt | collared_shirt | jacket | alternate_costume | bespectacled | black_bra | crossed_legs | desk | indoors | elbow_gloves | necklace | purple_dress | purple_gloves | tiara | thighhighs | purple_ribbon | headpiece | holding_wand | ponytail | jewelry | white_thighhighs | fur-trimmed_dress | hair_ribbon | open_mouth | runes | underwear_only | lingerie | black_panties | armpits | stomach |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------------|:-----------|:--------------------|:-------|:--------|:----------------|:-----------|:----------------|:--------------|:--------|:--------|:-----------|:------------------|:-----------|:-----------------|:-------------|:------|:--------------|:------|:----------|:--------|:--------|:--------|:--------|:----------------------|:---------|:----------------|:-----------------|:------------|:------------------|:------------------|:-------------------|:--------------------|:------------------|:-----------------------------|:----------------|:-----------------|:--------------|:---------|:--------------|:------|:-----------|:--------------------|:-------------|:----------------|:--------------|:------------------|:------------------|:-----------|:---------|:-------------------|:--------------------|:----------|:--------------|:-------------|:--------------|:-----------------|:-----------------|:---------------------|:---------------|:----------------|:---------------|:--------------|:--------|:--------------|:---------------|:--------------|:--------------|:-------------|:----------|:------------------|:--------------|:-----------------|:---------|:--------------------|:---------------|:------------|:---------------|:-------|:----------|:---------------|:-----------|:---------------|:----------------|:--------|:-------------|:----------------|:------------|:---------------|:-----------|:----------|:-------------------|:--------------------|:--------------|:-------------|:--------|:-----------------|:-----------|:----------------|:----------|:----------|
| 0 | 19 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 9 |  |  |  |  |  | X | | | X | X | | | | | | X | | | X | | | | | | | | X | | | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 8 |  |  |  |  |  | X | | | X | X | | | | | | X | | X | X | | X | | | | | | X | | X | | | | | X | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 5 |  |  |  |  |  | X | | | X | X | | | | | | X | | X | X | | X | | | | | | X | | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 7 |  |  |  |  |  | X | | | X | X | | | | | | X | | X | | | X | | | | | | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | X | | | X | | X | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 7 |  |  |  |  |  | X | | | X | X | | | | | | X | | X | | | X | | | | | | | | X | | | | X | | | | X | X | X | X | X | X | X | X | X | X | | X | X | | X | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 16 |  |  |  |  |  | X | | | X | X | | | | | | X | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 9 |  |  |  |  |  | X | | | X | X | | | | | | X | | | | | | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | X | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 17 |  |  |  |  |  | X | | | X | X | | | | | | X | | X | | | | X | | | | X | | | X | | | | | | | | | | | | | | | | X | | | | | | | | | | | | X | X | X | | | | | | | X | | X | X | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | |
| 9 | 16 |  |  |  |  |  | X | X | | X | X | | | | | | X | | X | | | X | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | |
| 10 | 5 |  |  |  |  |  | X | | | X | X | | | | | | X | | | | | X | | | | | | | | X | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | X | | X | X | X | X | X | X | X | X | X | X | | | | | |
| 11 | 9 |  |  |  |  |  | X | | | X | X | X | | | | | | | X | | | X | X | | X | | | | | X | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | X | X | X | X |
|
CyberHarem/scathach_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T00:49:11+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-11T21:54:05+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of scathach/スカサハ/斯卡哈 (Fate/Grand Order)
===============================================
This is the dataset of scathach/スカサハ/斯卡哈 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'long\_hair, purple\_hair, breasts, red\_eyes, large\_breasts, bangs, hair\_between\_eyes, very\_long\_hair, hair\_intakes', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
e6aa6500400298f3d947c6afff32325e03c264d6
|
# Dataset Card for "tokenized_ts_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
yjching/tokenized_ts_data
|
[
"region:us"
] |
2023-09-11T01:25:11+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "Problem", "dtype": "string"}, {"name": "Resolution", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 1272561, "num_examples": 197}], "download_size": 78711, "dataset_size": 1272561}}
|
2023-09-11T03:59:18+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "tokenized_ts_data"
More Information needed
|
[
"# Dataset Card for \"tokenized_ts_data\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"tokenized_ts_data\"\n\nMore Information needed"
] |
[
6,
17
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"tokenized_ts_data\"\n\nMore Information needed"
] |
7381c2b14d871e198828cd29d57c4de6f422eb8e
|
# Dataset of melon (Pokémon)
This is the dataset of melon (Pokémon), containing 500 images and their tags.
The core tags of this character are `long_hair, breasts, mature_female, blue_eyes, hat, white_headwear, fur_hat, huge_breasts, earrings, large_breasts`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:---------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 533.35 MiB | [Download](https://huggingface.co/datasets/CyberHarem/melon_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 304.93 MiB | [Download](https://huggingface.co/datasets/CyberHarem/melon_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1177 | 602.33 MiB | [Download](https://huggingface.co/datasets/CyberHarem/melon_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 476.13 MiB | [Download](https://huggingface.co/datasets/CyberHarem/melon_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1177 | 847.44 MiB | [Download](https://huggingface.co/datasets/CyberHarem/melon_pokemon/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/melon_pokemon',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 31 |  |  |  |  |  | 1girl, plump, solo, navel, nipples, looking_at_viewer, nude, thick_thighs, belly, blush, curvy, pussy, female_pubic_hair, smile, jewelry, sweat, very_long_hair, simple_background, white_background |
| 1 | 14 |  |  |  |  |  | 1girl, blush, nipples, hetero, 1boy, navel, plump, sex, solo_focus, female_pubic_hair, green_hair, vaginal, spread_legs, censored, sweat, looking_at_viewer, open_mouth, penis, straddling, on_back, smile, closed_eyes, completely_nude, cum_in_pussy, girl_on_top, hair_over_one_eye |
| 2 | 13 |  |  |  |  |  | 1girl, holding_poke_ball, legwear_under_shorts, pantyhose_under_shorts, ultra_ball, jewelry, looking_at_viewer, solo, white_sweater, single_glove, plump, blush, scarf, boots, smile, white_footwear |
| 3 | 14 |  |  |  |  |  | 1girl, legwear_under_shorts, pantyhose_under_shorts, smile, white_scarf, white_sweater, streaked_hair, single_glove, eyelashes, looking_at_viewer, solo, closed_mouth, ring, long_sleeves, hand_on_hip, hand_up, holding, one_eye_closed, poke_ball |
| 4 | 5 |  |  |  |  |  | 1girl, eyelashes, hand_up, long_sleeves, streaked_hair, white_scarf, white_sweater, closed_mouth, smile, solo, upper_body, blush, looking_at_viewer, closed_eyes, dynamax_band, ring, single_glove, white_background |
| 5 | 5 |  |  |  |  |  | 1girl, eyelashes, open_mouth, tongue, upper_body, white_scarf, white_sweater, jewelry, solo, streaked_hair, upper_teeth_only, long_sleeves, one_eye_closed, :d, ;d, blue_nails, blush, hand_up, looking_at_viewer, nail_polish |
| 6 | 11 |  |  |  |  |  | 1girl, solo, thick_thighs, looking_at_viewer, curvy, looking_back, shiny_skin, huge_ass, smile, jewelry, plump, thighhighs, blush, covered_nipples, holding, micro_bikini, thong, very_long_hair, white_bikini |
| 7 | 6 |  |  |  |  |  | 1boy, 1girl, blush, cum_on_breasts, hetero, paizuri, nipples, penis, solo_focus, breasts_squeezed_together, ejaculation, looking_at_viewer, simple_background, censored, nude, pov, ring, smile |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | plump | solo | navel | nipples | looking_at_viewer | nude | thick_thighs | belly | blush | curvy | pussy | female_pubic_hair | smile | jewelry | sweat | very_long_hair | simple_background | white_background | hetero | 1boy | sex | solo_focus | green_hair | vaginal | spread_legs | censored | open_mouth | penis | straddling | on_back | closed_eyes | completely_nude | cum_in_pussy | girl_on_top | hair_over_one_eye | holding_poke_ball | legwear_under_shorts | pantyhose_under_shorts | ultra_ball | white_sweater | single_glove | scarf | boots | white_footwear | white_scarf | streaked_hair | eyelashes | closed_mouth | ring | long_sleeves | hand_on_hip | hand_up | holding | one_eye_closed | poke_ball | upper_body | dynamax_band | tongue | upper_teeth_only | :d | ;d | blue_nails | nail_polish | looking_back | shiny_skin | huge_ass | thighhighs | covered_nipples | micro_bikini | thong | white_bikini | cum_on_breasts | paizuri | breasts_squeezed_together | ejaculation | pov |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:-------|:--------|:----------|:--------------------|:-------|:---------------|:--------|:--------|:--------|:--------|:--------------------|:--------|:----------|:--------|:-----------------|:--------------------|:-------------------|:---------|:-------|:------|:-------------|:-------------|:----------|:--------------|:-----------|:-------------|:--------|:-------------|:----------|:--------------|:------------------|:---------------|:--------------|:--------------------|:--------------------|:-----------------------|:-------------------------|:-------------|:----------------|:---------------|:--------|:--------|:-----------------|:--------------|:----------------|:------------|:---------------|:-------|:---------------|:--------------|:----------|:----------|:-----------------|:------------|:-------------|:---------------|:---------|:-------------------|:-----|:-----|:-------------|:--------------|:---------------|:-------------|:-----------|:-------------|:------------------|:---------------|:--------|:---------------|:-----------------|:----------|:----------------------------|:--------------|:------|
| 0 | 31 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 14 |  |  |  |  |  | X | X | | X | X | X | | | | X | | | X | X | | X | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 13 |  |  |  |  |  | X | X | X | | | X | | | | X | | | | X | X | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 14 |  |  |  |  |  | X | | X | | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | X | X | | X | X | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | | X | | | X | | | | X | | | | X | | | | | X | | | | | | | | | | | | | X | | | | | | | | | X | X | | | | X | X | X | X | X | X | | X | | | | X | X | | | | | | | | | | | | | | | | | | | |
| 5 | 5 |  |  |  |  |  | X | | X | | | X | | | | X | | | | | X | | | | | | | | | | | | | X | | | | | | | | | | | | | X | | | | | X | X | X | | | X | | X | | X | | X | | X | X | X | X | X | X | | | | | | | | | | | | | |
| 6 | 11 |  |  |  |  |  | X | X | X | | | X | | X | | X | X | | | X | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | |
| 7 | 6 |  |  |  |  |  | X | | | | X | X | X | | | X | | | | X | | | | X | | X | X | | X | | | | X | | X | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X |
|
CyberHarem/melon_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T01:28:30+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T18:15:30+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of melon (Pokémon)
==========================
This is the dataset of melon (Pokémon), containing 500 images and their tags.
The core tags of this character are 'long\_hair, breasts, mature\_female, blue\_eyes, hat, white\_headwear, fur\_hat, huge\_breasts, earrings, large\_breasts', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
1fd31edadcb6e1d1dfe980accc9dda06ea3591b8
|
# Dataset Card for "Emo_support_11kBalanced"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
BrunoGR/Emo_support_11kBalanced
|
[
"region:us"
] |
2023-09-11T01:40:22+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}, {"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "texto", "dtype": "string"}, {"name": "etiqueta", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 152156, "num_examples": 1309}, {"name": "train", "num_bytes": 12765622, "num_examples": 121708}, {"name": "validation", "num_bytes": 253200, "num_examples": 2200}], "download_size": 8063810, "dataset_size": 13170978}}
|
2023-09-19T21:54:23+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "Emo_support_11kBalanced"
More Information needed
|
[
"# Dataset Card for \"Emo_support_11kBalanced\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"Emo_support_11kBalanced\"\n\nMore Information needed"
] |
[
6,
20
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"Emo_support_11kBalanced\"\n\nMore Information needed"
] |
51efe4da1ae5b3b1409532d3c1ed591b78c862e7
|
# Dataset Card for "guanaco-llama2-1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
jan27/guanaco-llama2-1k
|
[
"region:us"
] |
2023-09-11T01:50:24+00:00
|
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1654448, "num_examples": 1000}], "download_size": 966693, "dataset_size": 1654448}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-11T01:50:24+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "guanaco-llama2-1k"
More Information needed
|
[
"# Dataset Card for \"guanaco-llama2-1k\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"guanaco-llama2-1k\"\n\nMore Information needed"
] |
[
6,
18
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"guanaco-llama2-1k\"\n\nMore Information needed"
] |
331e5577767ea7d4c210a87dcfe8d1e817794b5f
|
# Dataset of aketa_mikoto/緋田美琴 (THE iDOLM@STER: SHINY COLORS)
This is the dataset of aketa_mikoto/緋田美琴 (THE iDOLM@STER: SHINY COLORS), containing 320 images and their tags.
The core tags of this character are `brown_hair, gradient_hair, multicolored_hair, breasts, blonde_hair, large_breasts, multicolored_eyes, bangs`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:--------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 320 | 621.68 MiB | [Download](https://huggingface.co/datasets/CyberHarem/aketa_mikoto_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 320 | 296.15 MiB | [Download](https://huggingface.co/datasets/CyberHarem/aketa_mikoto_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 812 | 658.29 MiB | [Download](https://huggingface.co/datasets/CyberHarem/aketa_mikoto_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 320 | 524.61 MiB | [Download](https://huggingface.co/datasets/CyberHarem/aketa_mikoto_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 812 | 1.02 GiB | [Download](https://huggingface.co/datasets/CyberHarem/aketa_mikoto_theidolmstershinycolors/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/aketa_mikoto_theidolmstershinycolors',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 9 |  |  |  |  |  | 1girl, looking_at_viewer, simple_background, solo, sleeveless_shirt, upper_body, white_background, black_jacket, black_shirt, jacket_partially_removed, chain_necklace, earrings, off_shoulder, smile |
| 1 | 7 |  |  |  |  |  | 1girl, looking_at_viewer, nail_polish, solo, fur_trim, long_hair, smile, upper_body, earrings, necklace, brown_eyes, green_nails, black_jacket, simple_background |
| 2 | 7 |  |  |  |  |  | 1girl, cleavage, grey_tank_top, solo, collarbone, simple_background, jacket_partially_removed, looking_at_viewer, blush, hairclip, off_shoulder, :o, grey_jacket, grey_shorts, hair_bun, medium_breasts, short_hair, upper_body, white_background |
| 3 | 8 |  |  |  |  |  | 1girl, collarbone, looking_at_viewer, solo, blush, cleavage, navel, smile, arm_up, brown_eyes, eyewear_on_head, parted_lips, sunglasses, armpits, black_bikini, blurry, hair_between_eyes, outdoors, upper_body, wet |
| 4 | 7 |  |  |  |  |  | 1girl, collarbone, looking_at_viewer, solo, blush, cleavage, medium_breasts, navel, outdoors, water, black_bikini, side-tie_bikini_bottom, beach, blue_sky, blurry_foreground, braid, day, halterneck, nail_polish, ocean, wet |
| 5 | 5 |  |  |  |  |  | 1girl, blush, floral_print, obi, smile, solo, looking_at_viewer, outdoors, print_kimono, wide_sleeves, brown_eyes, closed_mouth, yukata, black_kimono, hair_flower, handbag, holding, long_sleeves, short_hair, upper_body, white_kimono |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | simple_background | solo | sleeveless_shirt | upper_body | white_background | black_jacket | black_shirt | jacket_partially_removed | chain_necklace | earrings | off_shoulder | smile | nail_polish | fur_trim | long_hair | necklace | brown_eyes | green_nails | cleavage | grey_tank_top | collarbone | blush | hairclip | :o | grey_jacket | grey_shorts | hair_bun | medium_breasts | short_hair | navel | arm_up | eyewear_on_head | parted_lips | sunglasses | armpits | black_bikini | blurry | hair_between_eyes | outdoors | wet | water | side-tie_bikini_bottom | beach | blue_sky | blurry_foreground | braid | day | halterneck | ocean | floral_print | obi | print_kimono | wide_sleeves | closed_mouth | yukata | black_kimono | hair_flower | handbag | holding | long_sleeves | white_kimono |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------------|:--------------------|:-------|:-------------------|:-------------|:-------------------|:---------------|:--------------|:---------------------------|:-----------------|:-----------|:---------------|:--------|:--------------|:-----------|:------------|:-----------|:-------------|:--------------|:-----------|:----------------|:-------------|:--------|:-----------|:-----|:--------------|:--------------|:-----------|:-----------------|:-------------|:--------|:---------|:------------------|:--------------|:-------------|:----------|:---------------|:---------|:--------------------|:-----------|:------|:--------|:-------------------------|:--------|:-----------|:--------------------|:--------|:------|:-------------|:--------|:---------------|:------|:---------------|:---------------|:---------------|:---------|:---------------|:--------------|:----------|:----------|:---------------|:---------------|
| 0 | 9 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 7 |  |  |  |  |  | X | X | X | X | | X | | X | | | | X | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 7 |  |  |  |  |  | X | X | X | X | | X | X | | | X | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 8 |  |  |  |  |  | X | X | | X | | X | | | | | | | | X | | | | | X | | X | | X | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | |
| 4 | 7 |  |  |  |  |  | X | X | | X | | | | | | | | | | | X | | | | | | X | | X | X | | | | | | X | | X | | | | | | X | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | |
| 5 | 5 |  |  |  |  |  | X | X | | X | | X | | | | | | | | X | | | | | X | | | | | X | | | | | | | X | | | | | | | | | | X | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/aketa_mikoto_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T01:53:12+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T08:58:47+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of aketa\_mikoto/緋田美琴 (THE iDOLM@STER: SHINY COLORS)
============================================================
This is the dataset of aketa\_mikoto/緋田美琴 (THE iDOLM@STER: SHINY COLORS), containing 320 images and their tags.
The core tags of this character are 'brown\_hair, gradient\_hair, multicolored\_hair, breasts, blonde\_hair, large\_breasts, multicolored\_eyes, bangs', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
fc44593a4960418ebf6edfab0eda9168f5b69454
|
<p align="center"><h1> Domestic Names from the Federal Government's repository of official geographic names [CSV dataset]</h1></p>
This Dataset includes 980,065 geographic names as of September 10, 2023.
It is apparent that no currently released LLMs are pretrained on datasets with many of these geographic names (i.e., features), descriptions, and histories.
Example: *feature_name: Abercrombie Gulch*
- GPT-3.5 responds "I'm not aware of a specific location called Abercrombie Gulch in my training data,..." when prompted about this name.
- Here is the description found in this Dataset about that name. "Abercrombie Gulch trends N-S 3 mi. on a tributary of Lowe River, 2.5 mi. S of Valdez; Chugach Mts. Named in 1911 by J. W. Bagley, and F. E. Giffin, U.S. Geological Survey (USGS), for Captain William R. Abercrombie, USA, who explored this area in 1884 and 1898-99."
This Dataset also includes geographic point locations.
All domestic names are extracted from the Geographic Names Information System (GNIS), the Federal Government's repository of official geographic names. This Dataset is deduped, zero values are changed to null, and the sort order is randomized. This Dataset combines 56 domestic names files from [here](https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/GeographicNames/DomesticNames/) and then merged with description and history for historical features when found in **HistoricalFeatures_National_Text** [here](https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/GeographicNames/Topical/).
|
cellos/DomesticNames_AllStates_Text
|
[
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"region:us"
] |
2023-09-11T02:06:30+00:00
|
{"annotations_creators": [{}], "language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "source_datasets": [{}], "task_categories": ["question-answering"]}
|
2023-09-28T17:45:18+00:00
|
[] |
[
"en"
] |
TAGS
#task_categories-question-answering #size_categories-100K<n<1M #language-English #license-mit #region-us
|
<p align="center"><h1> Domestic Names from the Federal Government's repository of official geographic names [CSV dataset]</h1></p>
This Dataset includes 980,065 geographic names as of September 10, 2023.
It is apparent that no currently released LLMs are pretrained on datasets with many of these geographic names (i.e., features), descriptions, and histories.
Example: *feature_name: Abercrombie Gulch*
- GPT-3.5 responds "I'm not aware of a specific location called Abercrombie Gulch in my training data,..." when prompted about this name.
- Here is the description found in this Dataset about that name. "Abercrombie Gulch trends N-S 3 mi. on a tributary of Lowe River, 2.5 mi. S of Valdez; Chugach Mts. Named in 1911 by J. W. Bagley, and F. E. Giffin, U.S. Geological Survey (USGS), for Captain William R. Abercrombie, USA, who explored this area in 1884 and 1898-99."
This Dataset also includes geographic point locations.
All domestic names are extracted from the Geographic Names Information System (GNIS), the Federal Government's repository of official geographic names. This Dataset is deduped, zero values are changed to null, and the sort order is randomized. This Dataset combines 56 domestic names files from here and then merged with description and history for historical features when found in HistoricalFeatures_National_Text here.
|
[] |
[
"TAGS\n#task_categories-question-answering #size_categories-100K<n<1M #language-English #license-mit #region-us \n"
] |
[
39
] |
[
"passage: TAGS\n#task_categories-question-answering #size_categories-100K<n<1M #language-English #license-mit #region-us \n"
] |
c5cd6749494818b0377f06f79d87742d84c79cf0
|
# Dataset Card for "huff2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
siacus/huff2
|
[
"region:us"
] |
2023-09-11T02:07:37+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "eval", "path": "data/eval-*"}]}], "dataset_info": {"features": [{"name": "link", "dtype": "string"}, {"name": "headline", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "short_description", "dtype": "string"}, {"name": "authors", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "U.S. NEWS", "1": "COMEDY", "2": "PARENTING", "3": "WORLD NEWS", "4": "CULTURE & ARTS", "5": "TECH", "6": "SPORTS", "7": "ENTERTAINMENT", "8": "POLITICS", "9": "WEIRD NEWS", "10": "ENVIRONMENT", "11": "EDUCATION", "12": "CRIME", "13": "SCIENCE", "14": "WELLNESS", "15": "BUSINESS", "16": "STYLE & BEAUTY", "17": "FOOD & DRINK", "18": "MEDIA", "19": "QUEER VOICES", "20": "HOME & LIVING", "21": "WOMEN", "22": "BLACK VOICES", "23": "TRAVEL", "24": "MONEY", "25": "RELIGION", "26": "LATINO VOICES", "27": "IMPACT", "28": "WEDDINGS", "29": "COLLEGE", "30": "PARENTS", "31": "ARTS & CULTURE", "32": "STYLE", "33": "GREEN", "34": "TASTE", "35": "HEALTHY LIVING", "36": "THE WORLDPOST", "37": "GOOD NEWS", "38": "WORLDPOST", "39": "FIFTY", "40": "ARTS", "41": "DIVORCE"}}}}], "splits": [{"name": "train", "num_bytes": 2184054, "num_examples": 2100}, {"name": "test", "num_bytes": 2196326, "num_examples": 2100}, {"name": "eval", "num_bytes": 2196326, "num_examples": 2100}], "download_size": 1979356, "dataset_size": 6576706}}
|
2023-09-11T02:12:05+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "huff2"
More Information needed
|
[
"# Dataset Card for \"huff2\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"huff2\"\n\nMore Information needed"
] |
[
6,
13
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"huff2\"\n\nMore Information needed"
] |
d366b2ff631512fafaf343a9cc164502e0c5e318
|
# Dataset Card for "empathetic_dialogues_summary"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
jtatman/empathetic_dialogues_summary
|
[
"region:us"
] |
2023-09-11T02:11:07+00:00
|
{"dataset_info": {"features": [{"name": "conv_id", "dtype": "string"}, {"name": "utterance_idx", "dtype": "int32"}, {"name": "context", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "speaker_idx", "dtype": "int32"}, {"name": "utterance", "dtype": "string"}, {"name": "selfeval", "dtype": "string"}, {"name": "tags", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23032529, "num_examples": 76673}], "download_size": 6595374, "dataset_size": 23032529}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-11T10:12:41+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "empathetic_dialogues_summary"
More Information needed
|
[
"# Dataset Card for \"empathetic_dialogues_summary\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"empathetic_dialogues_summary\"\n\nMore Information needed"
] |
[
6,
20
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"empathetic_dialogues_summary\"\n\nMore Information needed"
] |
b3e83615afccadcbb6d54ac5e7edebc78898db7e
|
# Dataset of altria_pendragon_santa_alter/アルトリア・ペンドラゴン〔サンタオルタ〕/阿尔托莉雅·潘德拉贡〔圣诞Alter〕 (Fate/Grand Order)
This is the dataset of altria_pendragon_santa_alter/アルトリア・ペンドラゴン〔サンタオルタ〕/阿尔托莉雅·潘德拉贡〔圣诞Alter〕 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `blonde_hair, yellow_eyes, bangs, breasts, braid, ribbon, medium_breasts, sidelocks, hair_between_eyes, short_hair`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 844.27 MiB | [Download](https://huggingface.co/datasets/CyberHarem/altria_pendragon_santa_alter_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 438.37 MiB | [Download](https://huggingface.co/datasets/CyberHarem/altria_pendragon_santa_alter_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1248 | 922.87 MiB | [Download](https://huggingface.co/datasets/CyberHarem/altria_pendragon_santa_alter_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 722.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/altria_pendragon_santa_alter_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1248 | 1.30 GiB | [Download](https://huggingface.co/datasets/CyberHarem/altria_pendragon_santa_alter_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/altria_pendragon_santa_alter_fgo',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 16 |  |  |  |  |  | 1girl, armored_dress, excalibur_morgan_(fate), solo, gauntlets, black_armor, holding_sword, looking_at_viewer, black_dress, closed_mouth |
| 1 | 7 |  |  |  |  |  | 1girl, armored_dress, excalibur_morgan_(fate), solo, sword, gauntlets, black_armor |
| 2 | 17 |  |  |  |  |  | 1girl, excalibur_morgan_(fate), long_sleeves, solo, looking_at_viewer, black_dress, holding_sword, cleavage, closed_mouth, shrug_(clothing), black_bow, standing, choker, hair_bun, puffy_sleeves |
| 3 | 5 |  |  |  |  |  | 1girl, cleavage, closed_mouth, collarbone, solo, black_dress, choker, long_sleeves, looking_at_viewer, simple_background, white_background, black_bow, french_braid, hair_bow, hair_ribbon, puffy_sleeves, single_hair_bun |
| 4 | 11 |  |  |  |  |  | 1girl, black_dress, choker, cleavage, bare_shoulders, collarbone, looking_at_viewer, solo, black_gloves, elbow_gloves, french_braid, hair_ribbon, closed_mouth, sleeveless_dress, black_bow, black_ribbon, hair_bow, hair_bun, upper_body |
| 5 | 9 |  |  |  |  |  | 1girl, solo, tiara, black_gloves, black_jacket, jacket_on_shoulders, looking_at_viewer, blue_dress, french_braid, navel_cutout, smile, black_thighhighs, cleavage, thighs, closed_mouth, gun, open_jacket, single_hair_bun, swimsuit, bare_shoulders, blush, choker, collarbone, excalibur_morgan_(fate), sword |
| 6 | 5 |  |  |  |  |  | 1girl, belt_buckle, black_jacket, black_ribbon, black_shirt, black_shorts, closed_mouth, collarbone, long_hair, looking_at_viewer, necklace, official_alternate_costume, open_jacket, solo, white_belt, long_sleeves, short_shorts, standing, cleavage, cowboy_shot, hair_ribbon, hands_in_pockets, holding_weapon, hood_down, hooded_jacket, low_ponytail, simple_background, small_breasts, sword, white_background |
| 7 | 10 |  |  |  |  |  | 1girl, black_jacket, black_ribbon, black_shorts, collarbone, hair_ribbon, long_hair, looking_at_viewer, necklace, official_alternate_costume, short_shorts, solo, black_shirt, excalibur_morgan_(fate), belt, holding_sword, black_footwear, off_shoulder, small_breasts, thigh_boots, thighhighs, bare_shoulders, black_camisole, cleavage, closed_mouth, low_ponytail, open_jacket, sleeveless_shirt, standing, thighs |
| 8 | 10 |  |  |  |  |  | 1girl, long_hair, long_sleeves, solo, white_shirt, blue_skirt, looking_at_viewer, red_necktie, black_pantyhose, collared_shirt, plaid_skirt, holding, ponytail, dress_shirt, bag, black_jacket, disposable_cup, official_alternate_costume, open_coat, open_jacket, sitting |
| 9 | 15 |  |  |  |  |  | 1girl, looking_at_viewer, maid_headdress, solo, black_bikini, long_sleeves, maid_bikini, navel, black_jacket, waist_apron, open_jacket, frilled_apron, bridal_garter, frilled_bikini, holding, off_shoulder, simple_background, bare_shoulders, bikini_top_only, black_skirt, black_thighhighs, blush, black_bow, choker, cleavage, mop, white_apron, bowtie, cowboy_shot, closed_mouth, french_braid, small_breasts, stomach, white_background |
| 10 | 7 |  |  |  |  |  | 1girl, frills, solo, wrist_cuffs, black_thighhighs, looking_at_viewer, puffy_short_sleeves, black_dress, maid_headdress, black_ribbon, food, hair_ribbon, holding, official_alternate_costume, waist_apron, white_apron, blush, french_braid, hair_bow, single_hair_bun, tray, white_background |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | armored_dress | excalibur_morgan_(fate) | solo | gauntlets | black_armor | holding_sword | looking_at_viewer | black_dress | closed_mouth | sword | long_sleeves | cleavage | shrug_(clothing) | black_bow | standing | choker | hair_bun | puffy_sleeves | collarbone | simple_background | white_background | french_braid | hair_bow | hair_ribbon | single_hair_bun | bare_shoulders | black_gloves | elbow_gloves | sleeveless_dress | black_ribbon | upper_body | tiara | black_jacket | jacket_on_shoulders | blue_dress | navel_cutout | smile | black_thighhighs | thighs | gun | open_jacket | swimsuit | blush | belt_buckle | black_shirt | black_shorts | long_hair | necklace | official_alternate_costume | white_belt | short_shorts | cowboy_shot | hands_in_pockets | holding_weapon | hood_down | hooded_jacket | low_ponytail | small_breasts | belt | black_footwear | off_shoulder | thigh_boots | thighhighs | black_camisole | sleeveless_shirt | white_shirt | blue_skirt | red_necktie | black_pantyhose | collared_shirt | plaid_skirt | holding | ponytail | dress_shirt | bag | disposable_cup | open_coat | sitting | maid_headdress | black_bikini | maid_bikini | navel | waist_apron | frilled_apron | bridal_garter | frilled_bikini | bikini_top_only | black_skirt | mop | white_apron | bowtie | stomach | frills | wrist_cuffs | puffy_short_sleeves | food | tray |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:----------------|:--------------------------|:-------|:------------|:--------------|:----------------|:--------------------|:--------------|:---------------|:--------|:---------------|:-----------|:-------------------|:------------|:-----------|:---------|:-----------|:----------------|:-------------|:--------------------|:-------------------|:---------------|:-----------|:--------------|:------------------|:-----------------|:---------------|:---------------|:-------------------|:---------------|:-------------|:--------|:---------------|:----------------------|:-------------|:---------------|:--------|:-------------------|:---------|:------|:--------------|:-----------|:--------|:--------------|:--------------|:---------------|:------------|:-----------|:-----------------------------|:-------------|:---------------|:--------------|:-------------------|:-----------------|:------------|:----------------|:---------------|:----------------|:-------|:-----------------|:---------------|:--------------|:-------------|:-----------------|:-------------------|:--------------|:-------------|:--------------|:------------------|:-----------------|:--------------|:----------|:-----------|:--------------|:------|:-----------------|:------------|:----------|:-----------------|:---------------|:--------------|:--------|:--------------|:----------------|:----------------|:-----------------|:------------------|:--------------|:------|:--------------|:---------|:----------|:---------|:--------------|:----------------------|:-------|:-------|
| 0 | 16 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 7 |  |  |  |  |  | X | X | X | X | X | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 17 |  |  |  |  |  | X | | X | X | | | X | X | X | X | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 5 |  |  |  |  |  | X | | | X | | | | X | X | X | | X | X | | X | | X | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 11 |  |  |  |  |  | X | | | X | | | | X | X | X | | | X | | X | | X | X | | X | | | X | X | X | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 9 |  |  |  |  |  | X | | X | X | | | | X | | X | X | | X | | | | X | | | X | | | X | | | X | X | X | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | X | | | X | | | | X | | X | X | X | X | | | X | | | | X | X | X | | | X | | | | | | X | | | X | | | | | | | | X | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 10 |  |  |  |  |  | X | | X | X | | | X | X | | X | | | X | | | X | | | | X | | | | | X | | X | | | | X | | | X | | | | | | X | | X | | | | X | X | X | X | X | | X | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 10 |  |  |  |  |  | X | | | X | | | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | X | | | | | | X | | X | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | |
| 9 | 15 |  |  |  |  |  | X | | | X | | | | X | | X | | X | X | | X | | X | | | | X | X | X | | | | X | | | | | | | X | | | | | X | | | X | | X | | | | | | | | | X | | | | | | X | | | X | | | | | | | | | | | X | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | |
| 10 | 7 |  |  |  |  |  | X | | | X | | | | X | X | | | | | | | | | | | | | X | X | X | X | X | | | | | X | | | | | | | | X | | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | X | | | | X | | | | | | | X | | | X | X | X | X | X |
|
CyberHarem/altria_pendragon_santa_alter_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T02:23:26+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-13T08:14:23+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of altria\_pendragon\_santa\_alter/アルトリア・ペンドラゴン〔サンタオルタ〕/阿尔托莉雅·潘德拉贡〔圣诞Alter〕 (Fate/Grand Order)
======================================================================================================
This is the dataset of altria\_pendragon\_santa\_alter/アルトリア・ペンドラゴン〔サンタオルタ〕/阿尔托莉雅·潘德拉贡〔圣诞Alter〕 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'blonde\_hair, yellow\_eyes, bangs, breasts, braid, ribbon, medium\_breasts, sidelocks, hair\_between\_eyes, short\_hair', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
de2cf2cfe47aabe3ac87ff17c9e22dc62b2c79e2
|
# Dataset Card for "chenqile09-chinese-couplet"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
chenqile09/llama2-chinese-couplet
|
[
"region:us"
] |
2023-09-11T02:37:41+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "data", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 211969430, "num_examples": 770491}, {"name": "validation", "num_bytes": 1101256, "num_examples": 4000}], "download_size": 56353998, "dataset_size": 213070686}}
|
2023-09-11T02:37:49+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "chenqile09-chinese-couplet"
More Information needed
|
[
"# Dataset Card for \"chenqile09-chinese-couplet\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"chenqile09-chinese-couplet\"\n\nMore Information needed"
] |
[
6,
20
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"chenqile09-chinese-couplet\"\n\nMore Information needed"
] |
d1d4308f0ee0aac2f9f407b3533ff83ecee22d34
|
# PlankAssembly Dataset
If you encounter downloading issue, you can directly download the dataset [here](https://manycore-research-azure.kujiale.com/manycore-research/PlankAssembly/data.zip).
## Dataset Description
- **Homepage:** https://manycore-research.github.io/PlankAssembly
- **Repository:** https://github.com/manycore-research/PlankAssembly
- **Paper:** https://arxiv.org/abs/2308.05744
### Dataset Summary
This is the dataset used for training [PlankAssembly](https://manycore-research.github.io/PlankAssembly). It contains 26,707 shape programs derived from parametric CAD models.
## Dataset Structure
PlankAssembly dataset is a directory with the following structure:
PlankAssemblyDataset
├── model # shape program
| └── <MODLE_ID>.json
└── splits # dataset splits
├── train.txt
├── valid.txt
└── test.txt
## PlankAssembly DSL
A cabinet is typically assembled by a list of plank models, where each plank is represented as an axis-aligned cuboid. A cuboid has six degrees of freedom, which correspond to the starting and ending coordinates along the three axes:
```
Cuboid (x_min, y_min, z_min, x_max, y_max, z_max).
```
Each coordinate can either take a numerical value or be a pointer to the corresponding coordinate of another cuboid (to which it attaches to).
In the parametric modeling software, a plank is typically created by first drawing a 2D profile and then applying the extrusion command. Thus, we categorize the faces of each plank into *sideface* or *endface*, depending on whether they are along the direction of the extrusion or not. Then, given a pair of faces from two different planks, we consider that an attachment relationship exists if (i) the two faces are within a distance threshold of 1mm and (ii) the pair consists of one sideface and one endface.
## Shape Program
Each shape program (*model.json*) is a JSON file with the following structure:
```python
{
# model id
"name": str,
# numerical values of all planks, the units are millimeters
"planks": List[List], # N x 6
# extrusion direction of each plank
"normal": List[List], # N x 3
# attachment relationships
# -1 denotes no attachment relationship
# Others denote the index of the flattened plank sequence
"attach": List[List], # N x 6
}
```
## BibTex
Please cite our paper if you use PlankAssembly dataset in your work:
```bibtex
@inproceedings{PlankAssembly,
author = {Hu, Wentao and Zheng, Jia and Zhang, Zixin and Yuan, Xiaojun and Yin, Jian and Zhou, Zihan},
title = {PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs},
booktitle = {ICCV},
year = {2023}
}
```
|
manycore-research/PlankAssembly
|
[
"size_categories:10K<n<100K",
"license:cc-by-nc-nd-4.0",
"arxiv:2308.05744",
"region:us"
] |
2023-09-11T03:08:14+00:00
|
{"license": "cc-by-nc-nd-4.0", "size_categories": ["10K<n<100K"]}
|
2023-09-21T06:20:57+00:00
|
[
"2308.05744"
] |
[] |
TAGS
#size_categories-10K<n<100K #license-cc-by-nc-nd-4.0 #arxiv-2308.05744 #region-us
|
# PlankAssembly Dataset
If you encounter downloading issue, you can directly download the dataset here.
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
### Dataset Summary
This is the dataset used for training PlankAssembly. It contains 26,707 shape programs derived from parametric CAD models.
## Dataset Structure
PlankAssembly dataset is a directory with the following structure:
PlankAssemblyDataset
├── model # shape program
| └── <MODLE_ID>.json
└── splits # dataset splits
├── URL
├── URL
└── URL
## PlankAssembly DSL
A cabinet is typically assembled by a list of plank models, where each plank is represented as an axis-aligned cuboid. A cuboid has six degrees of freedom, which correspond to the starting and ending coordinates along the three axes:
Each coordinate can either take a numerical value or be a pointer to the corresponding coordinate of another cuboid (to which it attaches to).
In the parametric modeling software, a plank is typically created by first drawing a 2D profile and then applying the extrusion command. Thus, we categorize the faces of each plank into *sideface* or *endface*, depending on whether they are along the direction of the extrusion or not. Then, given a pair of faces from two different planks, we consider that an attachment relationship exists if (i) the two faces are within a distance threshold of 1mm and (ii) the pair consists of one sideface and one endface.
## Shape Program
Each shape program (*URL*) is a JSON file with the following structure:
## BibTex
Please cite our paper if you use PlankAssembly dataset in your work:
|
[
"# PlankAssembly Dataset\n\nIf you encounter downloading issue, you can directly download the dataset here.",
"## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: URL",
"### Dataset Summary\n\nThis is the dataset used for training PlankAssembly. It contains 26,707 shape programs derived from parametric CAD models.",
"## Dataset Structure\n\nPlankAssembly dataset is a directory with the following structure:\n\n PlankAssemblyDataset\n ├── model # shape program\n | └── <MODLE_ID>.json\n └── splits # dataset splits\n ├── URL\n ├── URL\n └── URL",
"## PlankAssembly DSL\n\nA cabinet is typically assembled by a list of plank models, where each plank is represented as an axis-aligned cuboid. A cuboid has six degrees of freedom, which correspond to the starting and ending coordinates along the three axes:\n\nEach coordinate can either take a numerical value or be a pointer to the corresponding coordinate of another cuboid (to which it attaches to).\n\nIn the parametric modeling software, a plank is typically created by first drawing a 2D profile and then applying the extrusion command. Thus, we categorize the faces of each plank into *sideface* or *endface*, depending on whether they are along the direction of the extrusion or not. Then, given a pair of faces from two different planks, we consider that an attachment relationship exists if (i) the two faces are within a distance threshold of 1mm and (ii) the pair consists of one sideface and one endface.",
"## Shape Program\n\nEach shape program (*URL*) is a JSON file with the following structure:",
"## BibTex\n\nPlease cite our paper if you use PlankAssembly dataset in your work:"
] |
[
"TAGS\n#size_categories-10K<n<100K #license-cc-by-nc-nd-4.0 #arxiv-2308.05744 #region-us \n",
"# PlankAssembly Dataset\n\nIf you encounter downloading issue, you can directly download the dataset here.",
"## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: URL",
"### Dataset Summary\n\nThis is the dataset used for training PlankAssembly. It contains 26,707 shape programs derived from parametric CAD models.",
"## Dataset Structure\n\nPlankAssembly dataset is a directory with the following structure:\n\n PlankAssemblyDataset\n ├── model # shape program\n | └── <MODLE_ID>.json\n └── splits # dataset splits\n ├── URL\n ├── URL\n └── URL",
"## PlankAssembly DSL\n\nA cabinet is typically assembled by a list of plank models, where each plank is represented as an axis-aligned cuboid. A cuboid has six degrees of freedom, which correspond to the starting and ending coordinates along the three axes:\n\nEach coordinate can either take a numerical value or be a pointer to the corresponding coordinate of another cuboid (to which it attaches to).\n\nIn the parametric modeling software, a plank is typically created by first drawing a 2D profile and then applying the extrusion command. Thus, we categorize the faces of each plank into *sideface* or *endface*, depending on whether they are along the direction of the extrusion or not. Then, given a pair of faces from two different planks, we consider that an attachment relationship exists if (i) the two faces are within a distance threshold of 1mm and (ii) the pair consists of one sideface and one endface.",
"## Shape Program\n\nEach shape program (*URL*) is a JSON file with the following structure:",
"## BibTex\n\nPlease cite our paper if you use PlankAssembly dataset in your work:"
] |
[
39,
24,
18,
35,
73,
232,
20,
23
] |
[
"passage: TAGS\n#size_categories-10K<n<100K #license-cc-by-nc-nd-4.0 #arxiv-2308.05744 #region-us \n# PlankAssembly Dataset\n\nIf you encounter downloading issue, you can directly download the dataset here.## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: URL### Dataset Summary\n\nThis is the dataset used for training PlankAssembly. It contains 26,707 shape programs derived from parametric CAD models.## Dataset Structure\n\nPlankAssembly dataset is a directory with the following structure:\n\n PlankAssemblyDataset\n ├── model # shape program\n | └── <MODLE_ID>.json\n └── splits # dataset splits\n ├── URL\n ├── URL\n └── URL## PlankAssembly DSL\n\nA cabinet is typically assembled by a list of plank models, where each plank is represented as an axis-aligned cuboid. A cuboid has six degrees of freedom, which correspond to the starting and ending coordinates along the three axes:\n\nEach coordinate can either take a numerical value or be a pointer to the corresponding coordinate of another cuboid (to which it attaches to).\n\nIn the parametric modeling software, a plank is typically created by first drawing a 2D profile and then applying the extrusion command. Thus, we categorize the faces of each plank into *sideface* or *endface*, depending on whether they are along the direction of the extrusion or not. Then, given a pair of faces from two different planks, we consider that an attachment relationship exists if (i) the two faces are within a distance threshold of 1mm and (ii) the pair consists of one sideface and one endface.## Shape Program\n\nEach shape program (*URL*) is a JSON file with the following structure:## BibTex\n\nPlease cite our paper if you use PlankAssembly dataset in your work:"
] |
86bcd31c11d012832c8808806c299e949951a68c
|
# Dataset Card for "tokenized_dialogsum"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
yjching/tokenized_dialogsum
|
[
"region:us"
] |
2023-09-11T03:12:45+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 76653920, "num_examples": 12460}, {"name": "validation", "num_bytes": 3076000, "num_examples": 500}, {"name": "test", "num_bytes": 9228000, "num_examples": 1500}], "download_size": 5347174, "dataset_size": 88957920}}
|
2023-09-11T03:55:20+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "tokenized_dialogsum"
More Information needed
|
[
"# Dataset Card for \"tokenized_dialogsum\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"tokenized_dialogsum\"\n\nMore Information needed"
] |
[
6,
17
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"tokenized_dialogsum\"\n\nMore Information needed"
] |
8933c9f9fc20de0b1b59c4641b1ab871db29c2b5
|
# The data translated from Dolphin dataset used for training question answering with context in Vietnamese.
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: model_input
dtype: string
- name: model_output
dtype: string
splits:
- name: train
num_bytes: 296356849.0
num_examples: 90384
download_size: 143814832
dataset_size: 296356849.0
---
# Dataset Card for "noprob"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
nguyenthanhdo/noprob
|
[
"region:us"
] |
2023-09-11T03:22:54+00:00
|
{}
|
2023-09-17T05:59:32+00:00
|
[] |
[] |
TAGS
#region-us
|
# The data translated from Dolphin dataset used for training question answering with context in Vietnamese.
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: model_input
dtype: string
- name: model_output
dtype: string
splits:
- name: train
num_bytes: 296356849.0
num_examples: 90384
download_size: 143814832
dataset_size: 296356849.0
---
# Dataset Card for "noprob"
More Information needed
|
[
"# The data translated from Dolphin dataset used for training question answering with context in Vietnamese.\n\n---\nconfigs:\n- config_name: default\n data_files:\n - split: train\n path: data/train-*\ndataset_info:\n features:\n - name: model_input\n dtype: string\n - name: model_output\n dtype: string\n splits:\n - name: train\n num_bytes: 296356849.0\n num_examples: 90384\n download_size: 143814832\n dataset_size: 296356849.0\n---",
"# Dataset Card for \"noprob\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# The data translated from Dolphin dataset used for training question answering with context in Vietnamese.\n\n---\nconfigs:\n- config_name: default\n data_files:\n - split: train\n path: data/train-*\ndataset_info:\n features:\n - name: model_input\n dtype: string\n - name: model_output\n dtype: string\n splits:\n - name: train\n num_bytes: 296356849.0\n num_examples: 90384\n download_size: 143814832\n dataset_size: 296356849.0\n---",
"# Dataset Card for \"noprob\"\n\nMore Information needed"
] |
[
6,
128,
12
] |
[
"passage: TAGS\n#region-us \n# The data translated from Dolphin dataset used for training question answering with context in Vietnamese.\n\n---\nconfigs:\n- config_name: default\n data_files:\n - split: train\n path: data/train-*\ndataset_info:\n features:\n - name: model_input\n dtype: string\n - name: model_output\n dtype: string\n splits:\n - name: train\n num_bytes: 296356849.0\n num_examples: 90384\n download_size: 143814832\n dataset_size: 296356849.0\n---# Dataset Card for \"noprob\"\n\nMore Information needed"
] |
32a053213513baaa6b49f1db87b37693c67e8151
|
# Dataset Card for "llama2-chinese-couplet-1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
chenqile09/llama2-chinese-couplet-1k
|
[
"region:us"
] |
2023-09-11T03:23:43+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 339219.09405820444, "num_examples": 1000}], "download_size": 132156, "dataset_size": 339219.09405820444}}
|
2023-09-17T21:02:47+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "llama2-chinese-couplet-1k"
More Information needed
|
[
"# Dataset Card for \"llama2-chinese-couplet-1k\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"llama2-chinese-couplet-1k\"\n\nMore Information needed"
] |
[
6,
20
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"llama2-chinese-couplet-1k\"\n\nMore Information needed"
] |
8abb0b8c44b9cfc947826e0adc1027cc17073776
|
# Dataset Card for "outdated_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
zloading/outdated_dataset
|
[
"region:us"
] |
2023-09-11T03:27:33+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 133852.0, "num_examples": 10}], "download_size": 132701, "dataset_size": 133852.0}}
|
2023-09-11T04:32:57+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "outdated_dataset"
More Information needed
|
[
"# Dataset Card for \"outdated_dataset\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"outdated_dataset\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"outdated_dataset\"\n\nMore Information needed"
] |
4b7056f2da31cdc348a37f1f43548069dbac8b71
|
# Dataset of mizuki (Pokémon)
This is the dataset of mizuki (Pokémon), containing 500 images and their tags.
The core tags of this character are `black_hair, short_hair, bangs, hat, red_headwear, eyelashes`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 459.97 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mizuki_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 295.95 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mizuki_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1067 | 590.61 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mizuki_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 421.39 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mizuki_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1067 | 802.05 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mizuki_pokemon/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/mizuki_pokemon',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 11 |  |  |  |  |  | 1girl, beanie, floral_print, green_shorts, short_sleeves, tied_shirt, :d, bag, blush, open_mouth, t-shirt, yellow_shirt, bracelet, z-ring, tongue, poke_ball_(basic), upper_teeth_only, short_shorts, holding_poke_ball, pokemon_(creature), solo, blue_eyes, simple_background, white_background |
| 1 | 7 |  |  |  |  |  | 1girl, beanie, blue_eyes, short_sleeves, simple_background, solo, white_background, yellow_shirt, blush, looking_at_viewer, tied_shirt, white_pupils, green_shorts, holding_poke_ball, poke_ball_(basic), open_mouth, smile, bag, closed_mouth, floral_print, upper_body |
| 2 | 9 |  |  |  |  |  | 1girl, beanie, closed_mouth, green_shorts, short_sleeves, solo, yellow_shirt, floral_print, simple_background, grey_eyes, looking_at_viewer, short_shorts, tied_shirt, white_background, smile, blush, shoes, sitting |
| 3 | 11 |  |  |  |  |  | blush, large_breasts, nipples, black_eyes, heart-shaped_pupils, sweat, nude, open_mouth, 1girl, smile, 2girls, collarbone, grabbing, yuri, blonde_hair, breast_grab, hetero |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | beanie | floral_print | green_shorts | short_sleeves | tied_shirt | :d | bag | blush | open_mouth | t-shirt | yellow_shirt | bracelet | z-ring | tongue | poke_ball_(basic) | upper_teeth_only | short_shorts | holding_poke_ball | pokemon_(creature) | solo | blue_eyes | simple_background | white_background | looking_at_viewer | white_pupils | smile | closed_mouth | upper_body | grey_eyes | shoes | sitting | large_breasts | nipples | black_eyes | heart-shaped_pupils | sweat | nude | 2girls | collarbone | grabbing | yuri | blonde_hair | breast_grab | hetero |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------|:---------------|:---------------|:----------------|:-------------|:-----|:------|:--------|:-------------|:----------|:---------------|:-----------|:---------|:---------|:--------------------|:-------------------|:---------------|:--------------------|:---------------------|:-------|:------------|:--------------------|:-------------------|:--------------------|:---------------|:--------|:---------------|:-------------|:------------|:--------|:----------|:----------------|:----------|:-------------|:----------------------|:--------|:-------|:---------|:-------------|:-----------|:-------|:--------------|:--------------|:---------|
| 0 | 11 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | |
| 1 | 7 |  |  |  |  |  | X | X | X | X | X | X | | X | X | X | | X | | | | X | | | X | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | |
| 2 | 9 |  |  |  |  |  | X | X | X | X | X | X | | | X | | | X | | | | | | X | | | X | | X | X | X | | X | X | | X | X | X | | | | | | | | | | | | | |
| 3 | 11 |  |  |  |  |  | X | | | | | | | | X | X | | | | | | | | | | | | | | | | | X | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/mizuki_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T03:42:20+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T18:21:06+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of mizuki (Pokémon)
===========================
This is the dataset of mizuki (Pokémon), containing 500 images and their tags.
The core tags of this character are 'black\_hair, short\_hair, bangs, hat, red\_headwear, eyelashes', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
1c70a639f64ed6e67649b81ebd7ff0f1f6df80b8
|
# Dataset of nanakusa_nichika/七草にちか (THE iDOLM@STER: SHINY COLORS)
This is the dataset of nanakusa_nichika/七草にちか (THE iDOLM@STER: SHINY COLORS), containing 365 images and their tags.
The core tags of this character are `green_hair, short_hair, green_eyes, bangs`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:------------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 365 | 578.45 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nanakusa_nichika_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 365 | 287.94 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nanakusa_nichika_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 870 | 631.90 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nanakusa_nichika_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 365 | 491.70 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nanakusa_nichika_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 870 | 994.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nanakusa_nichika_theidolmstershinycolors/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/nanakusa_nichika_theidolmstershinycolors',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 8 |  |  |  |  |  | 1girl, looking_at_viewer, solo, white_shirt, blush, hairclip, long_sleeves, sweater, bag, cardigan, holding, simple_background, smile, white_background, white_skirt |
| 1 | 35 |  |  |  |  |  | looking_at_viewer, 1girl, earrings, long_sleeves, frills, solo, nail_polish, smile, neck_ribbon, simple_background, upper_body, blush, jacket, very_long_hair, white_background, red_nails, white_shirt, black_ribbon, belt, open_mouth |
| 2 | 9 |  |  |  |  |  | 1girl, bowtie, looking_at_viewer, school_uniform, simple_background, solo, sweater_vest, upper_body, blush, short_sleeves, white_background, white_shirt, striped_bow |
| 3 | 14 |  |  |  |  |  | 1girl, bowtie, plaid_skirt, school_uniform, short_sleeves, sweater_vest, looking_at_viewer, pleated_skirt, solo, simple_background, white_shirt, blush, white_background, smile, socks, full_body |
| 4 | 12 |  |  |  |  |  | frills, maid_headdress, solo, 1girl, looking_at_viewer, puffy_short_sleeves, wrist_cuffs, blush, smile, hair_ribbon, short_twintails, simple_background, black_bow, bowtie, enmaided, maid_apron, white_background, upper_body |
| 5 | 11 |  |  |  |  |  | 1girl, hair_ornament, smile, solo, white_gloves, idol, looking_at_viewer, blush, dress, open_mouth, blue_skirt, detached_collar, simple_background, sweat, white_background |
| 6 | 5 |  |  |  |  |  | 1girl, earrings, green_jacket, looking_at_viewer, solo, simple_background, sleeveless, white_background, bare_shoulders, midriff, navel, off_shoulder, ponytail, smile, upper_body, black_gloves, blush, closed_mouth, crop_top, fishnets, medium_breasts, necklace, open_jacket, very_long_hair |
| 7 | 9 |  |  |  |  |  | 1girl, simple_background, white_background, blush, looking_at_viewer, navel, solo, collarbone, medium_breasts, panties |
| 8 | 18 |  |  |  |  |  | 1girl, looking_at_viewer, outdoors, solo, blush, blue_sky, day, medium_breasts, collarbone, eyewear_on_head, hairclip, heart-shaped_eyewear, navel, ocean, sunglasses, visor_cap, beach, bracelet, cleavage, polka_dot_bikini, twintails, brown_eyes, brown_hair, cloud, smile |
| 9 | 7 |  |  |  |  |  | 1girl, blush, hetero, penis, solo_focus, 1boy, nipples, cum_in_pussy, mosaic_censoring, open_mouth, sex, on_back, spread_legs, vaginal, medium_breasts, missionary, navel, nude, pubic_hair, small_breasts |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | solo | white_shirt | blush | hairclip | long_sleeves | sweater | bag | cardigan | holding | simple_background | smile | white_background | white_skirt | earrings | frills | nail_polish | neck_ribbon | upper_body | jacket | very_long_hair | red_nails | black_ribbon | belt | open_mouth | bowtie | school_uniform | sweater_vest | short_sleeves | striped_bow | plaid_skirt | pleated_skirt | socks | full_body | maid_headdress | puffy_short_sleeves | wrist_cuffs | hair_ribbon | short_twintails | black_bow | enmaided | maid_apron | hair_ornament | white_gloves | idol | dress | blue_skirt | detached_collar | sweat | green_jacket | sleeveless | bare_shoulders | midriff | navel | off_shoulder | ponytail | black_gloves | closed_mouth | crop_top | fishnets | medium_breasts | necklace | open_jacket | collarbone | panties | outdoors | blue_sky | day | eyewear_on_head | heart-shaped_eyewear | ocean | sunglasses | visor_cap | beach | bracelet | cleavage | polka_dot_bikini | twintails | brown_eyes | brown_hair | cloud | hetero | penis | solo_focus | 1boy | nipples | cum_in_pussy | mosaic_censoring | sex | on_back | spread_legs | vaginal | missionary | nude | pubic_hair | small_breasts |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------------|:-------|:--------------|:--------|:-----------|:---------------|:----------|:------|:-----------|:----------|:--------------------|:--------|:-------------------|:--------------|:-----------|:---------|:--------------|:--------------|:-------------|:---------|:-----------------|:------------|:---------------|:-------|:-------------|:---------|:-----------------|:---------------|:----------------|:--------------|:--------------|:----------------|:--------|:------------|:-----------------|:----------------------|:--------------|:--------------|:------------------|:------------|:-----------|:-------------|:----------------|:---------------|:-------|:--------|:-------------|:------------------|:--------|:---------------|:-------------|:-----------------|:----------|:--------|:---------------|:-----------|:---------------|:---------------|:-----------|:-----------|:-----------------|:-----------|:--------------|:-------------|:----------|:-----------|:-----------|:------|:------------------|:-----------------------|:--------|:-------------|:------------|:--------|:-----------|:-----------|:-------------------|:------------|:-------------|:-------------|:--------|:---------|:--------|:-------------|:-------|:----------|:---------------|:-------------------|:------|:----------|:--------------|:----------|:-------------|:-------|:-------------|:----------------|
| 0 | 8 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 35 |  |  |  |  |  | X | X | X | X | X | | X | | | | | X | X | X | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 9 |  |  |  |  |  | X | X | X | X | X | | | | | | | X | | X | | | | | | X | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 14 |  |  |  |  |  | X | X | X | X | X | | | | | | | X | X | X | | | | | | | | | | | | | X | X | X | X | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 12 |  |  |  |  |  | X | X | X | | X | | | | | | | X | X | X | | | X | | | X | | | | | | | X | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 11 |  |  |  |  |  | X | X | X | | X | | | | | | | X | X | X | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | X | X | X | | X | | | | | | | X | X | X | | X | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 9 |  |  |  |  |  | X | X | X | | X | | | | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | X | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 18 |  |  |  |  |  | X | X | X | | X | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | X | | | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | |
| 9 | 7 |  |  |  |  |  | X | | | | X | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/nanakusa_nichika_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T03:49:18+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T07:43:40+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of nanakusa\_nichika/七草にちか (THE iDOLM@STER: SHINY COLORS)
=================================================================
This is the dataset of nanakusa\_nichika/七草にちか (THE iDOLM@STER: SHINY COLORS), containing 365 images and their tags.
The core tags of this character are 'green\_hair, short\_hair, green\_eyes, bangs', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
91802b3200eaa124337d9af82bdd2043f28c09f4
|
# Dataset of nursery_rhyme/ナーサリー・ライム/童谣 (Fate/Grand Order)
This is the dataset of nursery_rhyme/ナーサリー・ライム/童谣 (Fate/Grand Order), containing 414 images and their tags.
The core tags of this character are `long_hair, bow, hat, purple_eyes, bangs, black_headwear, black_bow, white_hair, beret, very_long_hair, braid, twin_braids, striped_bow, hair_bow`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:-------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 414 | 497.05 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nursery_rhyme_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 414 | 306.72 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nursery_rhyme_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 907 | 623.63 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nursery_rhyme_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 414 | 445.00 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nursery_rhyme_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 907 | 845.47 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nursery_rhyme_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/nursery_rhyme_fgo',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 18 |  |  |  |  |  | 1girl, dress, solo, smile, ribbon, open_mouth, doll_joints |
| 1 | 24 |  |  |  |  |  | 1girl, black_dress, looking_at_viewer, solo, black_gloves, gothic_lolita, puffy_short_sleeves, frills, striped, doll_joints, hair_between_eyes, blush, elbow_gloves, low_twintails, pink_eyes, smile, closed_mouth, grey_hair, open_mouth |
| 2 | 5 |  |  |  |  |  | 1girl, black_dress, frilled_dress, looking_at_viewer, puffy_short_sleeves, ribbon, solo, blush, bowtie, gothic_lolita, striped, doll_joints, grey_hair, :o, closed_mouth, smile, twintails |
| 3 | 5 |  |  |  |  |  | 1girl, black_capelet, black_dress, black_gloves, fur-trimmed_capelet, gothic_lolita, solo, doll_joints, frilled_dress, pink_eyes, striped, closed_mouth, looking_at_viewer, mushroom, smile |
| 4 | 14 |  |  |  |  |  | 1girl, black_capelet, black_dress, fur-trimmed_capelet, solo, black_gloves, looking_at_viewer, striped, black_footwear, blush, doll_joints, gothic_lolita, knee_boots, open_book, food_print, frilled_dress, full_body, hair_between_eyes, elbow_gloves, mushroom, sitting, :o, pink_eyes, black_pantyhose, closed_mouth, long_sleeves, parted_lips, white_background |
| 5 | 9 |  |  |  |  |  | 1girl, looking_at_viewer, solo, black_dress, black_gloves, blush, simple_background, white_background, closed_mouth, fur-trimmed_capelet, smile, striped, black_capelet, hair_between_eyes |
| 6 | 5 |  |  |  |  |  | 1girl, black_dress, checkerboard_cookie, club_(shape), diamond_(shape), fur-trimmed_capelet, key, playing_card, solo, spade_(shape), striped, :o, black_capelet, black_footwear, black_gloves, blush, cake, gothic_lolita, heart, looking_at_viewer, pantyhose, pocket_watch, red_rose, spoon, food_print, fork, frilled_dress, hair_between_eyes, open_book, print_dress, star_(symbol), strawberry, teacup, argyle_background, doll_joints, knee_boots, long_sleeves, macaron, mushroom, open_mouth, parted_lips, pink_flower, roman_numeral, saucer, teapot |
| 7 | 5 |  |  |  |  |  | blush, navel, nude, collarbone, doll_joints, grey_hair, loli, nipples, open_mouth, small_breasts, 1girl, 2girls, black_gloves, elbow_gloves, looking_at_viewer, mosaic_censoring, ribbon, :d, cum, hair_between_eyes, pink_eyes, pussy_juice, solo_focus, spread_legs, sweat |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | dress | solo | smile | ribbon | open_mouth | doll_joints | black_dress | looking_at_viewer | black_gloves | gothic_lolita | puffy_short_sleeves | frills | striped | hair_between_eyes | blush | elbow_gloves | low_twintails | pink_eyes | closed_mouth | grey_hair | frilled_dress | bowtie | :o | twintails | black_capelet | fur-trimmed_capelet | mushroom | black_footwear | knee_boots | open_book | food_print | full_body | sitting | black_pantyhose | long_sleeves | parted_lips | white_background | simple_background | checkerboard_cookie | club_(shape) | diamond_(shape) | key | playing_card | spade_(shape) | cake | heart | pantyhose | pocket_watch | red_rose | spoon | fork | print_dress | star_(symbol) | strawberry | teacup | argyle_background | macaron | pink_flower | roman_numeral | saucer | teapot | navel | nude | collarbone | loli | nipples | small_breasts | 2girls | mosaic_censoring | :d | cum | pussy_juice | solo_focus | spread_legs | sweat |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:-------|:--------|:---------|:-------------|:--------------|:--------------|:--------------------|:---------------|:----------------|:----------------------|:---------|:----------|:--------------------|:--------|:---------------|:----------------|:------------|:---------------|:------------|:----------------|:---------|:-----|:------------|:----------------|:----------------------|:-----------|:-----------------|:-------------|:------------|:-------------|:------------|:----------|:------------------|:---------------|:--------------|:-------------------|:--------------------|:----------------------|:---------------|:------------------|:------|:---------------|:----------------|:-------|:--------|:------------|:---------------|:-----------|:--------|:-------|:--------------|:----------------|:-------------|:---------|:--------------------|:----------|:--------------|:----------------|:---------|:---------|:--------|:-------|:-------------|:-------|:----------|:----------------|:---------|:-------------------|:-----|:------|:--------------|:-------------|:--------------|:--------|
| 0 | 18 |  |  |  |  |  | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 24 |  |  |  |  |  | X | | X | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | | X | X | X | | X | X | X | | X | X | | X | | X | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 5 |  |  |  |  |  | X | | X | X | | | X | X | X | X | X | | | X | | | | | X | X | | X | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 14 |  |  |  |  |  | X | | X | | | | X | X | X | X | X | | | X | X | X | X | | X | X | | X | | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 9 |  |  |  |  |  | X | | X | X | | | | X | X | X | | | | X | X | X | | | | X | | | | | | X | X | | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | X | | X | | | X | X | X | X | X | X | | | X | X | X | | | | | | X | | X | | X | X | X | X | X | X | X | | | | X | X | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | |
| 7 | 5 |  |  |  |  |  | X | | | | X | X | X | | X | X | | | | | X | X | X | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/nursery_rhyme_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T03:55:24+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T09:29:25+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of nursery\_rhyme/ナーサリー・ライム/童谣 (Fate/Grand Order)
=========================================================
This is the dataset of nursery\_rhyme/ナーサリー・ライム/童谣 (Fate/Grand Order), containing 414 images and their tags.
The core tags of this character are 'long\_hair, bow, hat, purple\_eyes, bangs, black\_headwear, black\_bow, white\_hair, beret, very\_long\_hair, braid, twin\_braids, striped\_bow, hair\_bow', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
264a2251d48aceb0ac848e659ad09eab1ed19501
|
test
|
khaled123/test1
|
[
"region:us"
] |
2023-09-11T03:59:07+00:00
|
{}
|
2023-09-11T04:02:52+00:00
|
[] |
[] |
TAGS
#region-us
|
test
|
[] |
[
"TAGS\n#region-us \n"
] |
[
6
] |
[
"passage: TAGS\n#region-us \n"
] |
df79f7f4541979024136fe0a5e9e6c413fb84f33
|
# Dataset of nanakusa_hazuki/七草はづき (THE iDOLM@STER: SHINY COLORS)
This is the dataset of nanakusa_hazuki/七草はづき (THE iDOLM@STER: SHINY COLORS), containing 228 images and their tags.
The core tags of this character are `green_hair, breasts, bangs, green_eyes, folded_ponytail, large_breasts`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:-----------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 228 | 319.33 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nanakusa_hazuki_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 228 | 168.62 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nanakusa_hazuki_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 553 | 362.49 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nanakusa_hazuki_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 228 | 277.28 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nanakusa_hazuki_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 553 | 549.49 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nanakusa_hazuki_theidolmstershinycolors/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/nanakusa_hazuki_theidolmstershinycolors',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 6 |  |  |  |  |  | 1girl, green_vest, looking_at_viewer, office_lady, simple_background, solo, white_background, blush, cardigan, green_skirt, open_clothes, shirt, smile, brown_pantyhose, pencil_skirt, black_jacket, sitting |
| 1 | 5 |  |  |  |  |  | 1girl, green_skirt, green_vest, long_sleeves, looking_at_viewer, office_lady, open_cardigan, simple_background, solo, :d, blush, buttons, open_jacket, open_mouth, pencil_skirt, white_shirt, brown_pantyhose, collared_shirt, hand_up, medium_breasts, standing, white_background, asymmetrical_hair, cowboy_shot, sleeves_past_wrists |
| 2 | 5 |  |  |  |  |  | 1girl, cleavage, collarbone, medium_breasts, smile, blush, navel, solo, underwear_only, white_background, black_bra, black_panties, cropped_legs, looking_at_viewer, multiple_views, open_mouth, simple_background, sitting |
| 3 | 12 |  |  |  |  |  | blush, collarbone, navel, 1girl, medium_breasts, cleavage, looking_at_viewer, side-tie_bikini_bottom, smile, solo, necklace, striped_bikini, bare_shoulders, side_ponytail, long_hair, open_mouth, star_hair_ornament, earrings, blurry, bracelet, front-tie_bikini_top, groin |
| 4 | 13 |  |  |  |  |  | blush, long_hair, santa_costume, santa_hat, christmas, cleavage, looking_at_viewer, 1girl, solo, bow, smile, red_headwear, simple_background, bare_shoulders, white_background, black_pantyhose, fur-trimmed_skirt, green_skirt, open_mouth, plaid_skirt, red_skirt |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | green_vest | looking_at_viewer | office_lady | simple_background | solo | white_background | blush | cardigan | green_skirt | open_clothes | shirt | smile | brown_pantyhose | pencil_skirt | black_jacket | sitting | long_sleeves | open_cardigan | :d | buttons | open_jacket | open_mouth | white_shirt | collared_shirt | hand_up | medium_breasts | standing | asymmetrical_hair | cowboy_shot | sleeves_past_wrists | cleavage | collarbone | navel | underwear_only | black_bra | black_panties | cropped_legs | multiple_views | side-tie_bikini_bottom | necklace | striped_bikini | bare_shoulders | side_ponytail | long_hair | star_hair_ornament | earrings | blurry | bracelet | front-tie_bikini_top | groin | santa_costume | santa_hat | christmas | bow | red_headwear | black_pantyhose | fur-trimmed_skirt | plaid_skirt | red_skirt |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------------|:--------------------|:--------------|:--------------------|:-------|:-------------------|:--------|:-----------|:--------------|:---------------|:--------|:--------|:------------------|:---------------|:---------------|:----------|:---------------|:----------------|:-----|:----------|:--------------|:-------------|:--------------|:-----------------|:----------|:-----------------|:-----------|:--------------------|:--------------|:----------------------|:-----------|:-------------|:--------|:-----------------|:------------|:----------------|:---------------|:-----------------|:-------------------------|:-----------|:-----------------|:-----------------|:----------------|:------------|:---------------------|:-----------|:---------|:-----------|:-----------------------|:--------|:----------------|:------------|:------------|:------|:---------------|:------------------|:--------------------|:--------------|:------------|
| 0 | 6 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | | X | | | | X | X | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | | X | | X | X | X | X | | | | | X | | | | X | | | | | | X | | | | X | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | |
| 3 | 12 |  |  |  |  |  | X | | X | | | X | | X | | | | | X | | | | | | | | | | X | | | | X | | | | | X | X | X | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | |
| 4 | 13 |  |  |  |  |  | X | | X | | X | X | X | X | | X | | | X | | | | | | | | | | X | | | | | | | | | X | | | | | | | | | | | X | | X | | | | | | | X | X | X | X | X | X | X | X | X |
|
CyberHarem/nanakusa_hazuki_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T05:02:15+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T08:18:21+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of nanakusa\_hazuki/七草はづき (THE iDOLM@STER: SHINY COLORS)
================================================================
This is the dataset of nanakusa\_hazuki/七草はづき (THE iDOLM@STER: SHINY COLORS), containing 228 images and their tags.
The core tags of this character are 'green\_hair, breasts, bangs, green\_eyes, folded\_ponytail, large\_breasts', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
c688c0ccb59a495a6bbc276354b8d4e3f067e355
|
# Dataset of suiren/スイレン (Pokémon)
This is the dataset of suiren/スイレン (Pokémon), containing 500 images and their tags.
The core tags of this character are `blue_hair, short_hair, blue_eyes, hairband, bright_pupils, bangs, white_pupils, yellow_hairband, breasts`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 448.22 MiB | [Download](https://huggingface.co/datasets/CyberHarem/suiren_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 282.66 MiB | [Download](https://huggingface.co/datasets/CyberHarem/suiren_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1138 | 580.08 MiB | [Download](https://huggingface.co/datasets/CyberHarem/suiren_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 405.11 MiB | [Download](https://huggingface.co/datasets/CyberHarem/suiren_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1138 | 773.39 MiB | [Download](https://huggingface.co/datasets/CyberHarem/suiren_pokemon/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/suiren_pokemon',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 16 |  |  |  |  |  | 1girl, solo, simple_background, looking_at_viewer, white_background, blush, freckles, blue_one-piece_swimsuit, closed_mouth, smile, upper_body |
| 1 | 8 |  |  |  |  |  | 1girl, blue_pants, blue_sailor_collar, one-piece_swimsuit, simple_background, sleeveless_shirt, solo, swimsuit_under_clothes, white_background, looking_at_viewer, open_mouth, white_shirt, covered_navel, collarbone, freckles |
| 2 | 16 |  |  |  |  |  | 1girl, blue_sailor_collar, one-piece_swimsuit, open_mouth, swimsuit_under_clothes, sleeveless_shirt, looking_at_viewer, solo, white_shirt, :d, blue_pants, tongue, blush, bare_arms, freckles |
| 3 | 5 |  |  |  |  |  | 1girl, blue_pants, blue_sailor_collar, closed_mouth, cloud, day, outdoors, sleeveless_shirt, smile, swimsuit_under_clothes, white_shirt, holding_fishing_rod, looking_at_viewer, sandals, sitting, solo, water, blue_sky, one-piece_swimsuit, blush, pokemon_(creature) |
| 4 | 5 |  |  |  |  |  | 2girls, navel, nipples, open_mouth, blush, pussy, :d, completely_nude, freckles, large_breasts, looking_at_viewer, mature_female, sweat, breast_press, censored, cleft_of_venus, female_pubic_hair, long_hair, mother_and_daughter, simple_background, small_breasts, teeth |
| 5 | 10 |  |  |  |  |  | blush, nipples, solo_focus, cloud, day, outdoors, small_breasts, freckles, pussy, 1girl, blue_sky, looking_at_viewer, navel, 1boy, censored, collarbone, completely_nude, hetero, open_mouth, sex, 3girls, smile, vaginal |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | simple_background | looking_at_viewer | white_background | blush | freckles | blue_one-piece_swimsuit | closed_mouth | smile | upper_body | blue_pants | blue_sailor_collar | one-piece_swimsuit | sleeveless_shirt | swimsuit_under_clothes | open_mouth | white_shirt | covered_navel | collarbone | :d | tongue | bare_arms | cloud | day | outdoors | holding_fishing_rod | sandals | sitting | water | blue_sky | pokemon_(creature) | 2girls | navel | nipples | pussy | completely_nude | large_breasts | mature_female | sweat | breast_press | censored | cleft_of_venus | female_pubic_hair | long_hair | mother_and_daughter | small_breasts | teeth | solo_focus | 1boy | hetero | sex | 3girls | vaginal |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:--------------------|:--------------------|:-------------------|:--------|:-----------|:--------------------------|:---------------|:--------|:-------------|:-------------|:---------------------|:---------------------|:-------------------|:-------------------------|:-------------|:--------------|:----------------|:-------------|:-----|:---------|:------------|:--------|:------|:-----------|:----------------------|:----------|:----------|:--------|:-----------|:---------------------|:---------|:--------|:----------|:--------|:------------------|:----------------|:----------------|:--------|:---------------|:-----------|:-----------------|:--------------------|:------------|:----------------------|:----------------|:--------|:-------------|:-------|:---------|:------|:---------|:----------|
| 0 | 16 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 8 |  |  |  |  |  | X | X | X | X | X | | X | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 16 |  |  |  |  |  | X | X | | X | | X | X | | | | | X | X | X | X | X | X | X | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 5 |  |  |  |  |  | X | X | | X | | X | | | X | X | | X | X | X | X | X | | X | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | | | X | X | | X | X | | | | | | | | | | X | | | | X | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | |
| 5 | 10 |  |  |  |  |  | X | | | X | | X | X | | | X | | | | | | | X | | | X | | | | X | X | X | | | | | X | | | X | X | X | X | | | | | X | | | | | X | | X | X | X | X | X | X |
|
CyberHarem/suiren_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T05:16:42+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T18:45:53+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of suiren/スイレン (Pokémon)
================================
This is the dataset of suiren/スイレン (Pokémon), containing 500 images and their tags.
The core tags of this character are 'blue\_hair, short\_hair, blue\_eyes, hairband, bright\_pupils, bangs, white\_pupils, yellow\_hairband, breasts', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
d07bede5d2064ccb169e4885d039f0ffda90eb77
|
# Dataset of jack_the_ripper/ジャック・ザ・リッパー/开膛手杰克 (Fate/Grand Order)
This is the dataset of jack_the_ripper/ジャック・ザ・リッパー/开膛手杰克 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `short_hair, green_eyes, scar_on_face, scar_across_eye, white_hair, breasts, small_breasts, bangs, hair_between_eyes, grey_hair`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:---------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 692.69 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jack_the_ripper_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 363.67 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jack_the_ripper_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1260 | 806.77 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jack_the_ripper_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 598.95 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jack_the_ripper_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1260 | 1.16 GiB | [Download](https://huggingface.co/datasets/CyberHarem/jack_the_ripper_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/jack_the_ripper_fgo',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 7 |  |  |  |  |  | 1girl, bandaged_arm, bare_shoulders, black_panties, looking_at_viewer, navel, scar_on_cheek, shoulder_tattoo, solo, thighs, arm_belt, black_thighhighs, black_vest, blush, cropped_vest, lowleg_panties, open_mouth, smile, white_background |
| 1 | 9 |  |  |  |  |  | 1girl, bandaged_arm, black_panties, black_thighhighs, looking_at_viewer, navel, scar_on_cheek, shoulder_tattoo, single_glove, arm_belt, bare_shoulders, black_gloves, fingerless_gloves, lowleg_panties, solo, thighs, blush, crop_top, simple_background, white_background, cleavage_cutout, closed_mouth, smile |
| 2 | 6 |  |  |  |  |  | 1girl, bandaged_arm, black_panties, black_thighhighs, dagger, fingerless_gloves, holding_knife, holding_weapon, looking_at_viewer, scar_on_cheek, shoulder_tattoo, single_glove, solo, thigh_boots, bare_shoulders, dual_wielding, open_mouth, arm_belt, black_gloves, lowleg_panties, smile |
| 3 | 6 |  |  |  |  |  | 1girl, bandaged_arm, bare_shoulders, black_panties, black_thighhighs, holding_weapon, looking_at_viewer, navel, simple_background, solo, white_background, gloves, holding_knife, scar_on_cheek, shoulder_tattoo, dual_wielding |
| 4 | 10 |  |  |  |  |  | 1girl, ass, bandaged_arm, black_panties, looking_at_viewer, shoulder_tattoo, solo, bare_shoulders, from_behind, looking_back, scar_on_cheek, shiny_hair, shiny_skin, black_thighhighs, blush, lowleg_panties, simple_background, white_background, butt_crack, cameltoe, gloves, skindentation, standing |
| 5 | 6 |  |  |  |  |  | 1girl, bandaged_arm, bare_shoulders, black_vest, blush, cropped_vest, inverted_nipples, loli, looking_at_viewer, scar_on_cheek, shoulder_tattoo, sweat, clothes_lift, open_mouth, 1boy, hetero, navel, solo_focus |
| 6 | 5 |  |  |  |  |  | 1boy, 1girl, ass, bandaged_arm, black_panties, from_behind, hetero, looking_at_viewer, looking_back, panties_aside, penis, shoulder_tattoo, solo_focus, vaginal, anus, cowgirl_position, girl_on_top, scar_on_cheek, blush, clothed_sex, loli, shiny_hair, shiny_skin, anal, cum_in_pussy, mosaic_censoring, skindentation, sweat, uncensored |
| 7 | 7 |  |  |  |  |  | 1girl, bare_shoulders, collarbone, looking_at_viewer, official_alternate_costume, scar_on_cheek, shoulder_tattoo, white_dress, sleeveless_dress, solo, bare_arms, frills, red_bow, blush, open_mouth, sundress, :d |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bandaged_arm | bare_shoulders | black_panties | looking_at_viewer | navel | scar_on_cheek | shoulder_tattoo | solo | thighs | arm_belt | black_thighhighs | black_vest | blush | cropped_vest | lowleg_panties | open_mouth | smile | white_background | single_glove | black_gloves | fingerless_gloves | crop_top | simple_background | cleavage_cutout | closed_mouth | dagger | holding_knife | holding_weapon | thigh_boots | dual_wielding | gloves | ass | from_behind | looking_back | shiny_hair | shiny_skin | butt_crack | cameltoe | skindentation | standing | inverted_nipples | loli | sweat | clothes_lift | 1boy | hetero | solo_focus | panties_aside | penis | vaginal | anus | cowgirl_position | girl_on_top | clothed_sex | anal | cum_in_pussy | mosaic_censoring | uncensored | collarbone | official_alternate_costume | white_dress | sleeveless_dress | bare_arms | frills | red_bow | sundress | :d |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:-----------------|:----------------|:--------------------|:--------|:----------------|:------------------|:-------|:---------|:-----------|:-------------------|:-------------|:--------|:---------------|:-----------------|:-------------|:--------|:-------------------|:---------------|:---------------|:--------------------|:-----------|:--------------------|:------------------|:---------------|:---------|:----------------|:-----------------|:--------------|:----------------|:---------|:------|:--------------|:---------------|:-------------|:-------------|:-------------|:-----------|:----------------|:-----------|:-------------------|:-------|:--------|:---------------|:-------|:---------|:-------------|:----------------|:--------|:----------|:-------|:-------------------|:--------------|:--------------|:-------|:---------------|:-------------------|:-------------|:-------------|:-----------------------------|:--------------|:-------------------|:------------|:---------|:----------|:-----------|:-----|
| 0 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 9 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | | X | | X | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 6 |  |  |  |  |  | X | X | X | X | X | | X | X | X | | X | X | | | | X | X | X | | X | X | X | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 6 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | | | X | | | | | | | X | | | | | X | | | | X | X | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 10 |  |  |  |  |  | X | X | X | X | X | | X | X | X | | | X | | X | | X | | | X | | | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 6 |  |  |  |  |  | X | X | X | | X | X | X | X | | | | | X | X | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | X | X | | X | X | | X | X | | | | | | X | | | | | | | | | | | | | | | | | | | X | X | X | X | X | | | X | | | X | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | |
| 7 | 7 |  |  |  |  |  | X | | X | | X | | X | X | X | | | | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X |
|
CyberHarem/jack_the_ripper_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T05:16:48+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-11T22:44:48+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of jack\_the\_ripper/ジャック・ザ・リッパー/开膛手杰克 (Fate/Grand Order)
=================================================================
This is the dataset of jack\_the\_ripper/ジャック・ザ・リッパー/开膛手杰克 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'short\_hair, green\_eyes, scar\_on\_face, scar\_across\_eye, white\_hair, breasts, small\_breasts, bangs, hair\_between\_eyes, grey\_hair', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
c28cd8542e3301f2dff3cf40df11bf626a85ebf1
|
Data collection of common university information
such as "What is the main admission process of university?"
the common sense of "how to get into the universtiy"
|
Dumspiro/Data01_public_uni
|
[
"region:us"
] |
2023-09-11T05:38:34+00:00
|
{}
|
2023-09-11T05:40:30+00:00
|
[] |
[] |
TAGS
#region-us
|
Data collection of common university information
such as "What is the main admission process of university?"
the common sense of "how to get into the universtiy"
|
[] |
[
"TAGS\n#region-us \n"
] |
[
6
] |
[
"passage: TAGS\n#region-us \n"
] |
2081f1d00ad7e18ecb38a747f7f6dad5037a57c9
|
# Dataset of ikaruga_luca (THE iDOLM@STER: SHINY COLORS)
This is the dataset of ikaruga_luca (THE iDOLM@STER: SHINY COLORS), containing 193 images and their tags.
The core tags of this character are `blonde_hair, black_hair, multicolored_hair, bangs, yellow_eyes, two-tone_hair, streaked_hair, medium_hair, breasts, ear_piercing`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:--------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 193 | 320.98 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ikaruga_luca_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 193 | 168.02 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ikaruga_luca_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 441 | 351.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ikaruga_luca_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 193 | 271.52 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ikaruga_luca_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 441 | 529.64 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ikaruga_luca_theidolmstershinycolors/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/ikaruga_luca_theidolmstershinycolors',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 50 |  |  |  |  |  | 1girl, solo, off_shoulder, looking_at_viewer, piercing, bare_shoulders, necklace, black_jacket, upper_body, shirt, collarbone, simple_background, midriff, long_sleeves, crop_top, navel, nail_polish, black_choker, black_nails, white_background |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | off_shoulder | looking_at_viewer | piercing | bare_shoulders | necklace | black_jacket | upper_body | shirt | collarbone | simple_background | midriff | long_sleeves | crop_top | navel | nail_polish | black_choker | black_nails | white_background |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:---------------|:--------------------|:-----------|:-----------------|:-----------|:---------------|:-------------|:--------|:-------------|:--------------------|:----------|:---------------|:-----------|:--------|:--------------|:---------------|:--------------|:-------------------|
| 0 | 50 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/ikaruga_luca_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T05:42:35+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T08:11:40+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of ikaruga\_luca (THE iDOLM@STER: SHINY COLORS)
=======================================================
This is the dataset of ikaruga\_luca (THE iDOLM@STER: SHINY COLORS), containing 193 images and their tags.
The core tags of this character are 'blonde\_hair, black\_hair, multicolored\_hair, bangs, yellow\_eyes, two-tone\_hair, streaked\_hair, medium\_hair, breasts, ear\_piercing', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
c69c49da5e03c0c1af6fdbac55f2c78b42652989
|
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed]
|
mindchain/demo_009
|
[
"region:us"
] |
2023-09-11T06:06:30+00:00
|
{}
|
2023-09-11T17:43:01+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
### Supported Tasks and Leaderboards
### Languages
## Dataset Structure
### Data Instances
### Data Fields
### Data Splits
## Dataset Creation
### Curation Rationale
### Source Data
#### Initial Data Collection and Normalization
#### Who are the source language producers?
### Annotations
#### Annotation process
#### Who are the annotators?
### Personal and Sensitive Information
## Considerations for Using the Data
### Social Impact of Dataset
### Discussion of Biases
### Other Known Limitations
## Additional Information
### Dataset Curators
### Licensing Information
### Contributions
|
[
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:",
"### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"### Supported Tasks and Leaderboards",
"### Languages",
"## Dataset Structure",
"### Data Instances",
"### Data Fields",
"### Data Splits",
"## Dataset Creation",
"### Curation Rationale",
"### Source Data",
"#### Initial Data Collection and Normalization",
"#### Who are the source language producers?",
"### Annotations",
"#### Annotation process",
"#### Who are the annotators?",
"### Personal and Sensitive Information",
"## Considerations for Using the Data",
"### Social Impact of Dataset",
"### Discussion of Biases",
"### Other Known Limitations",
"## Additional Information",
"### Dataset Curators",
"### Licensing Information",
"### Contributions"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:",
"### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"### Supported Tasks and Leaderboards",
"### Languages",
"## Dataset Structure",
"### Data Instances",
"### Data Fields",
"### Data Splits",
"## Dataset Creation",
"### Curation Rationale",
"### Source Data",
"#### Initial Data Collection and Normalization",
"#### Who are the source language producers?",
"### Annotations",
"#### Annotation process",
"#### Who are the annotators?",
"### Personal and Sensitive Information",
"## Considerations for Using the Data",
"### Social Impact of Dataset",
"### Discussion of Biases",
"### Other Known Limitations",
"## Additional Information",
"### Dataset Curators",
"### Licensing Information",
"### Contributions"
] |
[
6,
8,
24,
32,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
5
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for Dataset Name## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.### Supported Tasks and Leaderboards### Languages## Dataset Structure### Data Instances### Data Fields### Data Splits## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators### Licensing Information### Contributions"
] |
6f78c32d58be803ff930edbb22ce5a710d1b6f15
|
# Dataset of frankenstein/フランケンシュタイン/弗兰肯斯坦 (Fate/Grand Order)
This is the dataset of frankenstein/フランケンシュタイン/弗兰肯斯坦 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `horns, single_horn, mechanical_horns, pink_hair, short_hair, blue_eyes, breasts, hair_over_one_eye, hair_ornament, headgear, hair_bun, double_bun, medium_breasts, heterochromia`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 710.03 MiB | [Download](https://huggingface.co/datasets/CyberHarem/frankenstein_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 400.80 MiB | [Download](https://huggingface.co/datasets/CyberHarem/frankenstein_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1181 | 841.76 MiB | [Download](https://huggingface.co/datasets/CyberHarem/frankenstein_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 622.67 MiB | [Download](https://huggingface.co/datasets/CyberHarem/frankenstein_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1181 | 1.15 GiB | [Download](https://huggingface.co/datasets/CyberHarem/frankenstein_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/frankenstein_fgo',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 19 |  |  |  |  |  | 1girl, elbow_gloves, solo, veil, white_dress, white_gloves, hair_over_eyes, bare_shoulders, mace |
| 1 | 5 |  |  |  |  |  | 1girl, blue_sky, blush, day, looking_at_viewer, outdoors, petals, solo, veil, white_dress, white_rose, yellow_eyes, bare_shoulders, elbow_gloves, holding_flower, white_gloves, brown_eyes, closed_mouth, cloudy_sky, detached_sleeves, eyes_visible_through_hair, parted_bangs, red_hair, sleeveless_dress, grass, smile, wedding_dress |
| 2 | 10 |  |  |  |  |  | 1girl, blue_bikini, looking_at_viewer, solo, bandaged_arm, cleavage, simple_background, single_detached_sleeve, white_background, blush, sitting, bandaged_leg, navel, collarbone, full_body, :o, bangs, parted_lips, yellow_eyes |
| 3 | 8 |  |  |  |  |  | 1girl, blue_bikini, day, looking_at_viewer, outdoors, solo, cleavage, cloud, blush, bangs, blue_sky, closed_mouth, collarbone, hairclip, navel, single_detached_sleeve, yellow_eyes, bandaged_arm, eyes_visible_through_hair, ocean, sitting, small_breasts, smile |
| 4 | 5 |  |  |  |  |  | 1girl, black_dress, black_footwear, hair_over_eyes, bangs, frilled_dress, full_body, solo, closed_mouth, high_heels, pantyhose, pink_flower, smile, standing, black_ribbon, juliet_sleeves, looking_at_viewer, open_mouth, ribbon_trim, sitting, veil |
| 5 | 10 |  |  |  |  |  | 1girl, frilled_apron, solo, white_apron, black_dress, enmaided, looking_at_viewer, juliet_sleeves, ribbon, maid_headdress, wine_glass, blush, holding_tray, standing, white_gloves, yellow_eyes |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | elbow_gloves | solo | veil | white_dress | white_gloves | hair_over_eyes | bare_shoulders | mace | blue_sky | blush | day | looking_at_viewer | outdoors | petals | white_rose | yellow_eyes | holding_flower | brown_eyes | closed_mouth | cloudy_sky | detached_sleeves | eyes_visible_through_hair | parted_bangs | red_hair | sleeveless_dress | grass | smile | wedding_dress | blue_bikini | bandaged_arm | cleavage | simple_background | single_detached_sleeve | white_background | sitting | bandaged_leg | navel | collarbone | full_body | :o | bangs | parted_lips | cloud | hairclip | ocean | small_breasts | black_dress | black_footwear | frilled_dress | high_heels | pantyhose | pink_flower | standing | black_ribbon | juliet_sleeves | open_mouth | ribbon_trim | frilled_apron | white_apron | enmaided | ribbon | maid_headdress | wine_glass | holding_tray |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:-------|:-------|:--------------|:---------------|:-----------------|:-----------------|:-------|:-----------|:--------|:------|:--------------------|:-----------|:---------|:-------------|:--------------|:-----------------|:-------------|:---------------|:-------------|:-------------------|:----------------------------|:---------------|:-----------|:-------------------|:--------|:--------|:----------------|:--------------|:---------------|:-----------|:--------------------|:-------------------------|:-------------------|:----------|:---------------|:--------|:-------------|:------------|:-----|:--------|:--------------|:--------|:-----------|:--------|:----------------|:--------------|:-----------------|:----------------|:-------------|:------------|:--------------|:-----------|:---------------|:-----------------|:-------------|:--------------|:----------------|:--------------|:-----------|:---------|:-----------------|:-------------|:---------------|
| 0 | 19 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 5 |  |  |  |  |  | X | X | X | X | X | X | | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 10 |  |  |  |  |  | X | | X | | | | | | | | X | | X | | | | X | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 8 |  |  |  |  |  | X | | X | | | | | | | X | X | X | X | X | | | X | | | X | | | X | | | | | X | | X | X | X | | X | | X | | X | X | | | X | | X | X | X | X | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | | X | X | | | X | | | | | | X | | | | | | | X | | | | | | | | X | | | | | | | | X | | | | X | | X | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | |
| 5 | 10 |  |  |  |  |  | X | | X | | | X | | | | | X | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | X | | X | | | X | X | X | X | X | X | X |
|
CyberHarem/frankenstein_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T06:35:09+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T09:19:03+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of frankenstein/フランケンシュタイン/弗兰肯斯坦 (Fate/Grand Order)
===========================================================
This is the dataset of frankenstein/フランケンシュタイン/弗兰肯斯坦 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'horns, single\_horn, mechanical\_horns, pink\_hair, short\_hair, blue\_eyes, breasts, hair\_over\_one\_eye, hair\_ornament, headgear, hair\_bun, double\_bun, medium\_breasts, heterochromia', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
6f8069237461b9f6e107e77efe4ee54a8f1011a0
|
# Dataset Card for "test_result_large_synthesis_data_revision"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
quocanh34/test_result_large_synthesis_data_revision
|
[
"region:us"
] |
2023-09-11T06:36:25+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "pred_str", "dtype": "string"}, {"name": "test_norm", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 208019, "num_examples": 1299}], "download_size": 109049, "dataset_size": 208019}}
|
2023-09-11T06:36:27+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "test_result_large_synthesis_data_revision"
More Information needed
|
[
"# Dataset Card for \"test_result_large_synthesis_data_revision\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"test_result_large_synthesis_data_revision\"\n\nMore Information needed"
] |
[
6,
26
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"test_result_large_synthesis_data_revision\"\n\nMore Information needed"
] |
08c9c6ede177559521da18d4b85780caa61fb899
|
# Dataset of natane (Pokémon)
This is the dataset of natane (Pokémon), containing 441 images and their tags.
The core tags of this character are `short_hair, orange_hair, breasts, multicolored_hair, two-tone_hair, black_hair, bangs, brown_eyes, orange_eyes, blunt_bangs`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 441 | 371.51 MiB | [Download](https://huggingface.co/datasets/CyberHarem/natane_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 441 | 240.64 MiB | [Download](https://huggingface.co/datasets/CyberHarem/natane_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 913 | 464.08 MiB | [Download](https://huggingface.co/datasets/CyberHarem/natane_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 441 | 336.83 MiB | [Download](https://huggingface.co/datasets/CyberHarem/natane_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 913 | 608.21 MiB | [Download](https://huggingface.co/datasets/CyberHarem/natane_pokemon/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/natane_pokemon',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 13 |  |  |  |  |  | 1girl, black_belt, crop_top, looking_at_viewer, midriff, navel, smile, black_shirt, solo, green_capelet, long_sleeves, sidelocks, standing, closed_mouth, poncho, cowboy_shot, white_background, blush, groin, simple_background, brown_shorts |
| 1 | 14 |  |  |  |  |  | 1girl, black_belt, crop_top, looking_at_viewer, midriff, navel, long_sleeves, black_shirt, holding_poke_ball, poke_ball_(basic), poncho, :d, cowboy_shot, open_mouth, pokemon_(creature), sidelocks, solo, capelet, hand_on_hip, brown_shorts, groin, tongue |
| 2 | 7 |  |  |  |  |  | 1girl, crop_top, green_capelet, midriff, navel, poke_ball_(basic), holding_poke_ball, solo, belt, shorts, brown_hair, boots, green_footwear, simple_background, smile |
| 3 | 5 |  |  |  |  |  | 1girl, black_belt, black_shirt, crop_top, long_sleeves, midriff, navel, poncho, shorts, solo, blush, capelet, eyelashes, looking_at_viewer, open_mouth, tongue, :d, cropped_shirt, hand_up, upper_teeth_only |
| 4 | 11 |  |  |  |  |  | 1girl, crop_top, green_capelet, midriff, pokemon_(creature), shorts, smile, belt, boots, navel, open_mouth, green_footwear, brown_hair, poncho |
| 5 | 6 |  |  |  |  |  | 1girl, black_belt, boots, crop_top, full_body, green_footwear, midriff, navel, pokemon_(creature), poncho, :d, open_mouth, simple_background, standing, white_background, green_capelet, black_shirt, orange_shorts, tongue, torn_clothes |
| 6 | 5 |  |  |  |  |  | blush, large_breasts, navel, nipples, 1girl, collarbone, headband, shiny_skin, solo, looking_at_viewer, simple_background, smile, closed_mouth, completely_nude, open_mouth, pussy, white_background |
| 7 | 5 |  |  |  |  |  | 1girl, :d, blush, looking_at_viewer, navel, open_mouth, tongue, collarbone, female_pubic_hair, large_breasts, areola_slip, barefoot, black_one-piece_swimsuit, eyelashes, full_body, knees, pubic_hair_peek, shiny_skin, slingshot_swimsuit, 2boys, blank_censor, covered_nipples, double_w, group_sex, hand_up, hands_up, hetero, kneeling, multiple_penises, solo_focus, testicles, upper_teeth_only |
| 8 | 7 |  |  |  |  |  | 1boy, 1girl, blush, hetero, nipples, open_mouth, solo_focus, penis, :d, green_capelet, heart-shaped_pupils, large_breasts, sweat, brown_hair, medium_breasts, mosaic_censoring, navel, paizuri, teeth |
| 9 | 14 |  |  |  |  |  | 1girl, hetero, penis, solo_focus, blush, 1boy, cum, nipples, large_breasts, brown_hair, uncensored, bottomless, mosaic_censoring, pussy, vaginal |
| 10 | 7 |  |  |  |  |  | 1boy, 1girl, hetero, sex, blush, penis, solo_focus, anus, ass, open_mouth, testicles, vaginal, medium_breasts, nipples, nude, tongue, uncensored, capelet, pussy_juice |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_belt | crop_top | looking_at_viewer | midriff | navel | smile | black_shirt | solo | green_capelet | long_sleeves | sidelocks | standing | closed_mouth | poncho | cowboy_shot | white_background | blush | groin | simple_background | brown_shorts | holding_poke_ball | poke_ball_(basic) | :d | open_mouth | pokemon_(creature) | capelet | hand_on_hip | tongue | belt | shorts | brown_hair | boots | green_footwear | eyelashes | cropped_shirt | hand_up | upper_teeth_only | full_body | orange_shorts | torn_clothes | large_breasts | nipples | collarbone | headband | shiny_skin | completely_nude | pussy | female_pubic_hair | areola_slip | barefoot | black_one-piece_swimsuit | knees | pubic_hair_peek | slingshot_swimsuit | 2boys | blank_censor | covered_nipples | double_w | group_sex | hands_up | hetero | kneeling | multiple_penises | solo_focus | testicles | 1boy | penis | heart-shaped_pupils | sweat | medium_breasts | mosaic_censoring | paizuri | teeth | cum | uncensored | bottomless | vaginal | sex | anus | ass | nude | pussy_juice |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-------------|:-----------|:--------------------|:----------|:--------|:--------|:--------------|:-------|:----------------|:---------------|:------------|:-----------|:---------------|:---------|:--------------|:-------------------|:--------|:--------|:--------------------|:---------------|:--------------------|:--------------------|:-----|:-------------|:---------------------|:----------|:--------------|:---------|:-------|:---------|:-------------|:--------|:-----------------|:------------|:----------------|:----------|:-------------------|:------------|:----------------|:---------------|:----------------|:----------|:-------------|:-----------|:-------------|:------------------|:--------|:--------------------|:--------------|:-----------|:---------------------------|:--------|:------------------|:---------------------|:--------|:---------------|:------------------|:-----------|:------------|:-----------|:---------|:-----------|:-------------------|:-------------|:------------|:-------|:--------|:----------------------|:--------|:-----------------|:-------------------|:----------|:--------|:------|:-------------|:-------------|:----------|:------|:-------|:------|:-------|:--------------|
| 0 | 13 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 14 |  |  |  |  |  | X | X | X | X | X | X | | X | X | | X | X | | | X | X | | | X | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 7 |  |  |  |  |  | X | | X | | X | X | X | | X | X | | | | | | | | | | X | | X | X | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 5 |  |  |  |  |  | X | X | X | X | X | X | | X | X | | X | | | | X | | | X | | | | | | X | X | | X | | X | | X | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 11 |  |  |  |  |  | X | | X | | X | X | X | | | X | | | | | X | | | | | | | | | | X | X | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 6 |  |  |  |  |  | X | X | X | | X | X | | X | | X | | | X | | X | | X | | | X | | | | X | X | X | | | X | | | | X | X | | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | X | | | X | | X | X | | X | | | | | X | | | X | X | | X | | | | | X | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 5 |  |  |  |  |  | X | | | X | | X | | | | | | | | | | | | X | | | | | | X | X | | | | X | | | | | | X | | X | X | X | | | X | | X | | X | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | |
| 8 | 7 |  |  |  |  |  | X | | | | | X | | | | X | | | | | | | | X | | | | | | X | X | | | | | | | X | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | X | | | X | | X | X | X | X | X | X | X | X | | | | | | | | | |
| 9 | 14 |  |  |  |  |  | X | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | X | | | | | | | | | | X | X | | | | | X | | | | | | | | | | | | | | X | | | X | | X | X | | | | X | | | X | X | X | X | | | | | |
| 10 | 7 |  |  |  |  |  | X | | | | | | | | | | | | | | | | | X | | | | | | | X | | X | | X | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | X | | | X | X | X | X | | | X | | | | | X | | X | X | X | X | X | X |
|
CyberHarem/natane_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T06:44:47+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T18:32:36+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of natane (Pokémon)
===========================
This is the dataset of natane (Pokémon), containing 441 images and their tags.
The core tags of this character are 'short\_hair, orange\_hair, breasts, multicolored\_hair, two-tone\_hair, black\_hair, bangs, brown\_eyes, orange\_eyes, blunt\_bangs', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
cb202ee4072b59224ea4eaf69935e926bf29e2b1
|
# Dataset Card for "lamini_docs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
jackley86/lamini_docs
|
[
"region:us"
] |
2023-09-11T06:49:26+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 1846734.3, "num_examples": 1260}, {"name": "test", "num_bytes": 205192.7, "num_examples": 140}], "download_size": 0, "dataset_size": 2051927.0}}
|
2023-09-11T06:51:02+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "lamini_docs"
More Information needed
|
[
"# Dataset Card for \"lamini_docs\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"lamini_docs\"\n\nMore Information needed"
] |
[
6,
15
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"lamini_docs\"\n\nMore Information needed"
] |
cb23c196d77dbba6913262b7270dc9ea95d0a0e3
|
# Dataset Card for "stackoverflowVQA"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
mirzaei2114/stackoverflowVQA
|
[
"task_categories:visual-question-answering",
"task_categories:question-answering",
"size_categories:1M<n<10M",
"language:en",
"license:mit",
"code",
"region:us"
] |
2023-09-11T06:59:42+00:00
|
{"language": ["en"], "license": "mit", "size_categories": ["1M<n<10M"], "task_categories": ["visual-question-answering", "question-answering"], "pretty_name": "StackOverflowVQA", "dataset_info": {"features": [{"name": "Id", "dtype": "int64"}, {"name": "PostTypeId", "dtype": "int64"}, {"name": "AcceptedAnswerId", "dtype": "int64"}, {"name": "ParentId", "dtype": "int64"}, {"name": "Score", "dtype": "int64"}, {"name": "ViewCount", "dtype": "int64"}, {"name": "Body", "dtype": "string"}, {"name": "Title", "dtype": "string"}, {"name": "ContentLicense", "dtype": "string"}, {"name": "FavoriteCount", "dtype": "int64"}, {"name": "CreationDate", "dtype": "string"}, {"name": "LastActivityDate", "dtype": "string"}, {"name": "LastEditDate", "dtype": "string"}, {"name": "LastEditorUserId", "dtype": "int64"}, {"name": "OwnerUserId", "dtype": "int64"}, {"name": "Tags", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 1600405639.5087392, "num_examples": 1250664}], "download_size": 767605805, "dataset_size": 1600405639.5087392}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "tags": ["code"]}
|
2023-11-29T17:22:27+00:00
|
[] |
[
"en"
] |
TAGS
#task_categories-visual-question-answering #task_categories-question-answering #size_categories-1M<n<10M #language-English #license-mit #code #region-us
|
# Dataset Card for "stackoverflowVQA"
More Information needed
|
[
"# Dataset Card for \"stackoverflowVQA\"\n\nMore Information needed"
] |
[
"TAGS\n#task_categories-visual-question-answering #task_categories-question-answering #size_categories-1M<n<10M #language-English #license-mit #code #region-us \n",
"# Dataset Card for \"stackoverflowVQA\"\n\nMore Information needed"
] |
[
56,
16
] |
[
"passage: TAGS\n#task_categories-visual-question-answering #task_categories-question-answering #size_categories-1M<n<10M #language-English #license-mit #code #region-us \n# Dataset Card for \"stackoverflowVQA\"\n\nMore Information needed"
] |
d8a818eb6646373cfb905c0be3cf7d0e56354ae9
|
# Dataset of shibuya_rin/渋谷凛/시부야린 (THE iDOLM@STER: Cinderella Girls)
This is the dataset of shibuya_rin/渋谷凛/시부야린 (THE iDOLM@STER: Cinderella Girls), containing 500 images and their tags.
The core tags of this character are `long_hair, brown_hair, green_eyes, breasts, earrings`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:---------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 562.07 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shibuya_rin_idolmastercinderellagirls/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 373.01 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shibuya_rin_idolmastercinderellagirls/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1166 | 741.07 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shibuya_rin_idolmastercinderellagirls/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 518.44 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shibuya_rin_idolmastercinderellagirls/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1166 | 954.00 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shibuya_rin_idolmastercinderellagirls/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/shibuya_rin_idolmastercinderellagirls',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 13 |  |  |  |  |  | 1girl, solo, looking_at_viewer, hair_flower, black_gloves, choker, bare_shoulders, black_dress, blush, cleavage, medium_breasts |
| 1 | 8 |  |  |  |  |  | 1girl, dress, looking_at_viewer, smile, solo, tiara, medium_breasts, elbow_gloves, white_gloves, cleavage, necklace, blush |
| 2 | 10 |  |  |  |  |  | 1girl, blue_dress, solo, looking_at_viewer, bare_shoulders, hair_ornament, necklace, sleeveless_dress, black_gloves, bangs, simple_background, smile, white_background, blush, closed_mouth |
| 3 | 15 |  |  |  |  |  | 1girl, cardigan, necktie, school_uniform, solo, looking_at_viewer, skirt, necklace, bag |
| 4 | 6 |  |  |  |  |  | 1girl, cardigan, looking_at_viewer, necklace, necktie, school_uniform, simple_background, skirt, solo, white_background, hand_in_pocket, blush |
| 5 | 5 |  |  |  |  |  | 1girl, cardigan, kneehighs, necklace, necktie, school_uniform, skirt, solo, black_socks, blush, looking_at_viewer, sitting, simple_background, white_background, aqua_eyes |
| 6 | 17 |  |  |  |  |  | 1girl, school_uniform, solo, bangs, long_sleeves, looking_at_viewer, white_shirt, blush, pleated_skirt, black_cardigan, miniskirt, striped_necktie, simple_background, white_background, closed_mouth, collared_shirt, grey_skirt, hair_between_eyes, cowboy_shot, green_necktie, school_bag, smile, standing, jewelry |
| 7 | 7 |  |  |  |  |  | 1girl, ass, looking_at_viewer, school_uniform, solo, blush, cardigan, looking_back, white_panties, from_behind, pantyshot, pleated_skirt, bag, socks, thighs, upskirt |
| 8 | 10 |  |  |  |  |  | 1girl, cape, solo, looking_at_viewer, sword, navel, armor, midriff, black_thighhighs, hair_flower, garter_straps, black_hair, blue_gloves |
| 9 | 19 |  |  |  |  |  | 1girl, solo, medium_breasts, navel, looking_at_viewer, black_bikini, cleavage, smile, hair_flower, jewelry, short_shorts, front-tie_top, black_hair, open_fly |
| 10 | 8 |  |  |  |  |  | 1girl, bangs, hair_flower, solo, floral_print, looking_at_viewer, obi, wide_sleeves, blush, long_sleeves, outdoors, print_kimono, :d, holding, jewelry, open_mouth, sidelocks, single_hair_bun, upper_body, yukata |
| 11 | 7 |  |  |  |  |  | 1girl, looking_at_viewer, medium_breasts, bangs, blush, solo, closed_mouth, outdoors, denim_shorts, hair_between_eyes, jewelry, ribbed_sweater, shirt, short_shorts, smile, ass, bag, coffee_cup, cowboy_shot, holding_cup, long_sleeves, midriff, pants, sleeveless, turtleneck_sweater |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | looking_at_viewer | hair_flower | black_gloves | choker | bare_shoulders | black_dress | blush | cleavage | medium_breasts | dress | smile | tiara | elbow_gloves | white_gloves | necklace | blue_dress | hair_ornament | sleeveless_dress | bangs | simple_background | white_background | closed_mouth | cardigan | necktie | school_uniform | skirt | bag | hand_in_pocket | kneehighs | black_socks | sitting | aqua_eyes | long_sleeves | white_shirt | pleated_skirt | black_cardigan | miniskirt | striped_necktie | collared_shirt | grey_skirt | hair_between_eyes | cowboy_shot | green_necktie | school_bag | standing | jewelry | ass | looking_back | white_panties | from_behind | pantyshot | socks | thighs | upskirt | cape | sword | navel | armor | midriff | black_thighhighs | garter_straps | black_hair | blue_gloves | black_bikini | short_shorts | front-tie_top | open_fly | floral_print | obi | wide_sleeves | outdoors | print_kimono | :d | holding | open_mouth | sidelocks | single_hair_bun | upper_body | yukata | denim_shorts | ribbed_sweater | shirt | coffee_cup | holding_cup | pants | sleeveless | turtleneck_sweater |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-------|:--------------------|:--------------|:---------------|:---------|:-----------------|:--------------|:--------|:-----------|:-----------------|:--------|:--------|:--------|:---------------|:---------------|:-----------|:-------------|:----------------|:-------------------|:--------|:--------------------|:-------------------|:---------------|:-----------|:----------|:-----------------|:--------|:------|:-----------------|:------------|:--------------|:----------|:------------|:---------------|:--------------|:----------------|:-----------------|:------------|:------------------|:-----------------|:-------------|:--------------------|:--------------|:----------------|:-------------|:-----------|:----------|:------|:---------------|:----------------|:--------------|:------------|:--------|:---------|:----------|:-------|:--------|:--------|:--------|:----------|:-------------------|:----------------|:-------------|:--------------|:---------------|:---------------|:----------------|:-----------|:---------------|:------|:---------------|:-----------|:---------------|:-----|:----------|:-------------|:------------|:------------------|:-------------|:---------|:---------------|:-----------------|:--------|:-------------|:--------------|:--------|:-------------|:---------------------|
| 0 | 13 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 8 |  |  |  |  |  | X | X | X | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 10 |  |  |  |  |  | X | X | X | | X | | X | | X | | | | X | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 15 |  |  |  |  |  | X | X | X | | | | | | | | | | | | | | X | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 6 |  |  |  |  |  | X | X | X | | | | | | X | | | | | | | | X | | | | | X | X | | X | X | X | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 5 |  |  |  |  |  | X | X | X | | | | | | X | | | | | | | | X | | | | | X | X | | X | X | X | X | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 17 |  |  |  |  |  | X | X | X | | | | | | X | | | | X | | | | | | | | X | X | X | X | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 7 |  |  |  |  |  | X | X | X | | | | | | X | | | | | | | | | | | | | | | | X | | X | | X | | | | | | | | X | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 10 |  |  |  |  |  | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 19 |  |  |  |  |  | X | X | X | X | | | | | | X | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | X | | | | | X | | X | X | X | X | | | | | | | | | | | | | | | | | | | | |
| 10 | 8 |  |  |  |  |  | X | X | X | X | | | | | X | | | | | | | | | | | | X | | | | | | | | | | | | | | X | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | |
| 11 | 7 |  |  |  |  |  | X | X | X | | | | | | X | | X | | X | | | | | | | | X | | | X | | | | | X | | | | | | X | | | | | | | | X | X | | | | X | X | | | | | | | | | | | | X | | | | | | X | | | | | | X | | | | | | | | | X | X | X | X | X | X | X | X |
|
CyberHarem/shibuya_rin_idolmastercinderellagirls
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T07:03:01+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T09:11:30+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of shibuya\_rin/渋谷凛/시부야린 (THE iDOLM@STER: Cinderella Girls)
===================================================================
This is the dataset of shibuya\_rin/渋谷凛/시부야린 (THE iDOLM@STER: Cinderella Girls), containing 500 images and their tags.
The core tags of this character are 'long\_hair, brown\_hair, green\_eyes, breasts, earrings', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
8966edae3ba2045e9c0e8c2b47770cc96db68a29
|
# Dataset of crystal (Pokémon)
This is the dataset of crystal (Pokémon), containing 65 images and their tags.
The core tags of this character are `twintails, blue_eyes, earrings, blue_hair, star_earrings, hat, long_hair, black_hair, breasts, bangs`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:----------|:-----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 65 | 34.17 MiB | [Download](https://huggingface.co/datasets/CyberHarem/crystal_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 65 | 28.69 MiB | [Download](https://huggingface.co/datasets/CyberHarem/crystal_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 113 | 50.55 MiB | [Download](https://huggingface.co/datasets/CyberHarem/crystal_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 65 | 33.47 MiB | [Download](https://huggingface.co/datasets/CyberHarem/crystal_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 113 | 56.63 MiB | [Download](https://huggingface.co/datasets/CyberHarem/crystal_pokemon/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/crystal_pokemon',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 12 |  |  |  |  |  | 1girl, solo, jewelry, smile, star_(symbol), hat_ribbon, open_mouth, holding_poke_ball, poke_ball_(basic) |
| 1 | 7 |  |  |  |  |  | 1girl, solo, closed_mouth, jewelry, looking_at_viewer, red_shirt, simple_background, smile, star_(symbol), upper_body, white_background, blush, long_sleeves |
| 2 | 6 |  |  |  |  |  | 1girl, cropped_jacket, shoes, bike_shorts, full_body, open_mouth, red_shirt, solo, white_jacket, yellow_headwear, :d, bag, star_(symbol), jewelry, leg_up, long_sleeves, open_clothes, simple_background, white_background |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | jewelry | smile | star_(symbol) | hat_ribbon | open_mouth | holding_poke_ball | poke_ball_(basic) | closed_mouth | looking_at_viewer | red_shirt | simple_background | upper_body | white_background | blush | long_sleeves | cropped_jacket | shoes | bike_shorts | full_body | white_jacket | yellow_headwear | :d | bag | leg_up | open_clothes |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:----------|:--------|:----------------|:-------------|:-------------|:--------------------|:--------------------|:---------------|:--------------------|:------------|:--------------------|:-------------|:-------------------|:--------|:---------------|:-----------------|:--------|:--------------|:------------|:---------------|:------------------|:-----|:------|:---------|:---------------|
| 0 | 12 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | |
| 1 | 7 |  |  |  |  |  | X | X | X | X | X | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | |
| 2 | 6 |  |  |  |  |  | X | X | X | | X | | X | | | | | X | X | | X | | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/crystal_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T07:09:29+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T17:22:05+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of crystal (Pokémon)
============================
This is the dataset of crystal (Pokémon), containing 65 images and their tags.
The core tags of this character are 'twintails, blue\_eyes, earrings, blue\_hair, star\_earrings, hat, long\_hair, black\_hair, breasts, bangs', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
433edfb9d3d824d8e2a4e95915a861998063f6b5
|
# Dataset Card for "test_result_large_data_oom"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
quocanh34/test_result_large_data_oom
|
[
"region:us"
] |
2023-09-11T07:15:51+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "pred_str", "dtype": "string"}, {"name": "test_norm", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 207422, "num_examples": 1299}], "download_size": 108838, "dataset_size": 207422}}
|
2023-09-11T07:15:53+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "test_result_large_data_oom"
More Information needed
|
[
"# Dataset Card for \"test_result_large_data_oom\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"test_result_large_data_oom\"\n\nMore Information needed"
] |
[
6,
22
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"test_result_large_data_oom\"\n\nMore Information needed"
] |
0721ffa1fda9564a87a0d6bebd8fdb4f0bac0676
|
# Dataset Card for "SynTruckCab"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
malteee/SynTruckCab
|
[
"region:us"
] |
2023-09-11T07:17:54+00:00
|
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "mask", "dtype": "image"}, {"name": "bbox", "sequence": "float64"}], "splits": [{"name": "train", "num_bytes": 168498871.0, "num_examples": 170}], "download_size": 99009470, "dataset_size": 168498871.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-11T07:40:55+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "SynTruckCab"
More Information needed
|
[
"# Dataset Card for \"SynTruckCab\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"SynTruckCab\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"SynTruckCab\"\n\nMore Information needed"
] |
b47c970bdca578d6c4231c5415e11b2dc688b6de
|
# Dataset Card for "SynTruckFrame"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
malteee/SynTruckFrame
|
[
"region:us"
] |
2023-09-11T07:18:04+00:00
|
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "mask", "dtype": "image"}, {"name": "bbox", "sequence": "float64"}], "splits": [{"name": "train", "num_bytes": 169576294.0, "num_examples": 171}], "download_size": 99098836, "dataset_size": 169576294.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-11T07:41:08+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "SynTruckFrame"
More Information needed
|
[
"# Dataset Card for \"SynTruckFrame\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"SynTruckFrame\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"SynTruckFrame\"\n\nMore Information needed"
] |
9d5fa3c5687dca89d770a85851eda83938a7870c
|
# Dataset Card for "SynTuckPlatform"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
malteee/SynTuckPlatform
|
[
"region:us"
] |
2023-09-11T07:41:08+00:00
|
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "mask", "dtype": "image"}, {"name": "bbox", "sequence": "float64"}], "splits": [{"name": "train", "num_bytes": 167539793.0, "num_examples": 169}], "download_size": 98942920, "dataset_size": 167539793.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-11T07:41:21+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "SynTuckPlatform"
More Information needed
|
[
"# Dataset Card for \"SynTuckPlatform\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"SynTuckPlatform\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"SynTuckPlatform\"\n\nMore Information needed"
] |
1e52ca888592f1a7809aa76085cdcf18e2f677a2
|
# Dataset Card for "GovChat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
YoussefThabet/GovChat
|
[
"region:us"
] |
2023-09-11T07:49:26+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3620222, "num_examples": 3980}], "download_size": 0, "dataset_size": 3620222}}
|
2023-09-11T08:14:02+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "GovChat"
More Information needed
|
[
"# Dataset Card for \"GovChat\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"GovChat\"\n\nMore Information needed"
] |
[
6,
13
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"GovChat\"\n\nMore Information needed"
] |
2c0d66aeda7963b97c8cdf20df5ed59f7438b49c
|
# Dataset Card for "news-stocks"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
chuyin0321/news-stocks
|
[
"region:us"
] |
2023-09-11T07:49:50+00:00
|
{"dataset_info": {"features": [{"name": "symbol", "dtype": "string"}, {"name": "body", "dtype": "string"}, {"name": "publisher", "dtype": "string"}, {"name": "publish_time", "dtype": "timestamp[ns, tz=GMT]"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "uuid", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18435776, "num_examples": 2978}], "download_size": 9157427, "dataset_size": 18435776}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-11T07:49:57+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "news-stocks"
More Information needed
|
[
"# Dataset Card for \"news-stocks\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"news-stocks\"\n\nMore Information needed"
] |
[
6,
14
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"news-stocks\"\n\nMore Information needed"
] |
1bb130eef6a5559e361e596c7c62437148a33b31
|
# Dataset Card for "timeseries-daily-stocks"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
chuyin0321/timeseries-daily-stocks
|
[
"region:us"
] |
2023-09-11T07:50:08+00:00
|
{"dataset_info": {"features": [{"name": "symbol", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "open", "dtype": "float64"}, {"name": "high", "dtype": "float64"}, {"name": "low", "dtype": "float64"}, {"name": "close", "dtype": "float64"}, {"name": "adj_close", "dtype": "float64"}, {"name": "volume", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 588967254, "num_examples": 8405823}], "download_size": 291992665, "dataset_size": 588967254}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-11T07:52:28+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "timeseries-daily-stocks"
More Information needed
|
[
"# Dataset Card for \"timeseries-daily-stocks\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"timeseries-daily-stocks\"\n\nMore Information needed"
] |
[
6,
18
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"timeseries-daily-stocks\"\n\nMore Information needed"
] |
c459fb0a15ecabe28b651f614257b5f2e7d0d140
|
# Dataset Card for "timeseries-1mn-stocks"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
chuyin0321/timeseries-1mn-stocks
|
[
"region:us"
] |
2023-09-11T07:52:29+00:00
|
{"dataset_info": {"features": [{"name": "symbol", "dtype": "string"}, {"name": "datetime", "dtype": "timestamp[ns]"}, {"name": "open", "dtype": "float64"}, {"name": "high", "dtype": "float64"}, {"name": "low", "dtype": "float64"}, {"name": "close", "dtype": "float64"}, {"name": "volume", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 21219505, "num_examples": 378090}], "download_size": 15092332, "dataset_size": 21219505}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-11T07:52:37+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "timeseries-1mn-stocks"
More Information needed
|
[
"# Dataset Card for \"timeseries-1mn-stocks\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"timeseries-1mn-stocks\"\n\nMore Information needed"
] |
[
6,
18
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"timeseries-1mn-stocks\"\n\nMore Information needed"
] |
ff0f392980cfc25726343b8ecbc4ac9460379952
|
# Dataset of mysterious_heroine_x/謎のヒロインX/谜之女主角X (Fate/Grand Order)
This is the dataset of mysterious_heroine_x/謎のヒロインX/谜之女主角X (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `blonde_hair, ponytail, ahoge, baseball_cap, hat, long_hair, blue_eyes, hair_between_eyes, breasts, hair_through_headwear, blue_headwear, sidelocks, bangs, large_breasts`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:--------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 680.50 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mysterious_heroine_x_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 363.28 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mysterious_heroine_x_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1249 | 808.11 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mysterious_heroine_x_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 590.71 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mysterious_heroine_x_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1249 | 1.14 GiB | [Download](https://huggingface.co/datasets/CyberHarem/mysterious_heroine_x_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/mysterious_heroine_x_fgo',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 18 |  |  |  |  |  | 1girl, blue_jacket, blue_scarf, excalibur_(fate/stay_night), looking_at_viewer, short_shorts, solo, black_headwear, black_shorts, holding_sword, track_jacket, standing, closed_mouth, cowboy_shot, long_sleeves |
| 1 | 6 |  |  |  |  |  | 1girl, blue_scarf, excalibur_(fate/stay_night), solo, sword, track_jacket, black_shorts, looking_at_viewer |
| 2 | 8 |  |  |  |  |  | 1girl, blue_jacket, blue_scarf, excalibur_(fate/stay_night), gym_uniform, looking_at_viewer, solo, blue_buruma, holding_sword, black_headwear, black_thighhighs, long_sleeves, open_jacket, track_jacket, blue_thighhighs, white_shirt, green_eyes, smile, white_background |
| 3 | 8 |  |  |  |  |  | 1girl, holding_sword, looking_at_viewer, navel, solo, black_thighhighs, open_shorts, short_shorts, black_headwear, black_shorts, blue_jacket, fingerless_gloves, jacket_on_shoulders, midriff, panties, excalibur_(fate/stay_night), small_breasts, blue_gloves, closed_mouth, green_eyes, scarf, stomach |
| 4 | 39 |  |  |  |  |  | blue_jacket, cleavage, shrug_(clothing), white_bikini, 1girl, cropped_jacket, looking_at_viewer, navel, solo, blush, side-tie_bikini_bottom, white_background, simple_background, smile, thighs, thigh_strap, wristband, long_sleeves, open_mouth, stomach |
| 5 | 7 |  |  |  |  |  | 1girl, blue_jacket, blush, cropped_jacket, looking_at_viewer, solo, sweat, white_bikini, blue_sky, long_sleeves, covered_nipples, underboob, grin, looking_back, outdoors, shrug_(clothing), ass_focus, huge_ass, thick_thighs |
| 6 | 13 |  |  |  |  |  | 1girl, blue_sky, cropped_jacket, day, navel, outdoors, shrug_(clothing), side-tie_bikini_bottom, solo, white_bikini, blue_jacket, blush, cleavage, looking_at_viewer, smile, thighs, cloud, ocean, thigh_strap, long_sleeves, open_mouth, stomach, water, wristband, zipper_pull_tab |
| 7 | 12 |  |  |  |  |  | 1girl, blush, open_mouth, 1boy, blue_jacket, hetero, navel, nipples, shrug_(clothing), cropped_jacket, pussy, sex, thighs, long_sleeves, mosaic_censoring, penis, spread_legs, thigh_strap, vaginal, on_back, sweat, looking_at_viewer, shiny_skin |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | blue_jacket | blue_scarf | excalibur_(fate/stay_night) | looking_at_viewer | short_shorts | solo | black_headwear | black_shorts | holding_sword | track_jacket | standing | closed_mouth | cowboy_shot | long_sleeves | sword | gym_uniform | blue_buruma | black_thighhighs | open_jacket | blue_thighhighs | white_shirt | green_eyes | smile | white_background | navel | open_shorts | fingerless_gloves | jacket_on_shoulders | midriff | panties | small_breasts | blue_gloves | scarf | stomach | cleavage | shrug_(clothing) | white_bikini | cropped_jacket | blush | side-tie_bikini_bottom | simple_background | thighs | thigh_strap | wristband | open_mouth | sweat | blue_sky | covered_nipples | underboob | grin | looking_back | outdoors | ass_focus | huge_ass | thick_thighs | day | cloud | ocean | water | zipper_pull_tab | 1boy | hetero | nipples | pussy | sex | mosaic_censoring | penis | spread_legs | vaginal | on_back | shiny_skin |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------|:-------------|:------------------------------|:--------------------|:---------------|:-------|:-----------------|:---------------|:----------------|:---------------|:-----------|:---------------|:--------------|:---------------|:--------|:--------------|:--------------|:-------------------|:--------------|:------------------|:--------------|:-------------|:--------|:-------------------|:--------|:--------------|:--------------------|:----------------------|:----------|:----------|:----------------|:--------------|:--------|:----------|:-----------|:-------------------|:---------------|:-----------------|:--------|:-------------------------|:--------------------|:---------|:--------------|:------------|:-------------|:--------|:-----------|:------------------|:------------|:-------|:---------------|:-----------|:------------|:-----------|:---------------|:------|:--------|:--------|:--------|:------------------|:-------|:---------|:----------|:--------|:------|:-------------------|:--------|:--------------|:----------|:----------|:-------------|
| 0 | 18 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 6 |  |  |  |  |  | X | | X | X | X | | X | | X | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 8 |  |  |  |  |  | X | X | X | X | X | | X | X | | X | X | | | | X | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 8 |  |  |  |  |  | X | X | | X | X | X | X | X | X | X | | | X | | | | | | X | | | | X | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 39 |  |  |  |  |  | X | X | | | X | | X | | | | | | | | X | | | | | | | | | X | X | X | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 7 |  |  |  |  |  | X | X | | | X | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | |
| 6 | 13 |  |  |  |  |  | X | X | | | X | | X | | | | | | | | X | | | | | | | | | X | | X | | | | | | | | | X | X | X | X | X | X | X | | X | X | X | X | | X | | | | | X | | | | X | X | X | X | X | | | | | | | | | | | |
| 7 | 12 |  |  |  |  |  | X | X | | | X | | | | | | | | | | X | | | | | | | | | | | X | | | | | | | | | | | X | | X | X | | | X | X | | X | X | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/mysterious_heroine_x_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T07:56:31+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T17:39:46+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of mysterious\_heroine\_x/謎のヒロインX/谜之女主角X (Fate/Grand Order)
===================================================================
This is the dataset of mysterious\_heroine\_x/謎のヒロインX/谜之女主角X (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'blonde\_hair, ponytail, ahoge, baseball\_cap, hat, long\_hair, blue\_eyes, hair\_between\_eyes, breasts, hair\_through\_headwear, blue\_headwear, sidelocks, bangs, large\_breasts', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
696f135a51849086e1650f15f75cdc2f69fc39e1
|
A set of bat calls sampled at 256kHz or higher. European bat species.
Up to 100 random samples (if exist) from data assembled under same license from chiro-vox, animal sound library berlin, xeno-canto and individuals (R. Zinck and K. Richards).
https://github.com/rdz-oss/BattyBirdNET-Analyzer
```text
@misc{Zinck2023,
author = {Zinck, R.D.},
title = {BattyBirdNET - Bat Sound Analyzer},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/rdz-oss/BattyBirdNET-Analyzer }}
}
```
Sample files per species:
# References
## Papers
FROMMOLT, KARL-HEINZ. "The archive of animal sounds at the Humboldt-University of Berlin." Bioacoustics 6.4 (1996): 293-296.
Görföl, Tamás, et al. "ChiroVox: a public library of bat calls." PeerJ 10 (2022): e12445.
Gotthold, B., Khalighifar, A., Straw, B.R., and Reichert, B.E., 2022, Training dataset for NABat Machine Learning V1.0: U.S. Geological Survey data release, https://doi.org/10.5066/P969TX8F.
Kahl, Stefan, et al. "BirdNET: A deep learning solution for avian diversity monitoring." Ecological Informatics 61 (2021): 101236.
Vellinga, Willem-Pier, et al. "www. xeno-canto. org: a decade on."
## Links
https://www.museumfuernaturkunde.berlin/en/science/animal-sound-archive
https://www.chirovox.org/
https://www.sciencebase.gov/catalog/item/627ed4b2d34e3bef0c9a2f30
https://github.com/kahst/BirdNET-Analyzer
https://xeno-canto.org/
|
Amazetl/BattyBirdNET-Bavaria-256kHz-100
|
[
"license:cc-by-nc-sa-4.0",
"audio classification",
"biology",
"bat",
"biomonitoring",
"acoustics",
"region:us"
] |
2023-09-11T08:17:28+00:00
|
{"license": "cc-by-nc-sa-4.0", "tags": ["audio classification", "biology", "bat", "biomonitoring", "acoustics"]}
|
2023-09-11T15:39:12+00:00
|
[] |
[] |
TAGS
#license-cc-by-nc-sa-4.0 #audio classification #biology #bat #biomonitoring #acoustics #region-us
|
A set of bat calls sampled at 256kHz or higher. European bat species.
Up to 100 random samples (if exist) from data assembled under same license from chiro-vox, animal sound library berlin, xeno-canto and individuals (R. Zinck and K. Richards).
URL
Sample files per species:
!Species
# References
## Papers
FROMMOLT, KARL-HEINZ. "The archive of animal sounds at the Humboldt-University of Berlin." Bioacoustics 6.4 (1996): 293-296.
Görföl, Tamás, et al. "ChiroVox: a public library of bat calls." PeerJ 10 (2022): e12445.
Gotthold, B., Khalighifar, A., Straw, B.R., and Reichert, B.E., 2022, Training dataset for NABat Machine Learning V1.0: U.S. Geological Survey data release, URL
Kahl, Stefan, et al. "BirdNET: A deep learning solution for avian diversity monitoring." Ecological Informatics 61 (2021): 101236.
Vellinga, Willem-Pier, et al. "www. xeno-canto. org: a decade on."
## Links
URL
URL
URL
URL
URL
|
[
"# References",
"## Papers\n\nFROMMOLT, KARL-HEINZ. \"The archive of animal sounds at the Humboldt-University of Berlin.\" Bioacoustics 6.4 (1996): 293-296.\n\nGörföl, Tamás, et al. \"ChiroVox: a public library of bat calls.\" PeerJ 10 (2022): e12445.\n\nGotthold, B., Khalighifar, A., Straw, B.R., and Reichert, B.E., 2022, Training dataset for NABat Machine Learning V1.0: U.S. Geological Survey data release, URL\n\nKahl, Stefan, et al. \"BirdNET: A deep learning solution for avian diversity monitoring.\" Ecological Informatics 61 (2021): 101236.\n\nVellinga, Willem-Pier, et al. \"www. xeno-canto. org: a decade on.\"",
"## Links\n\nURL\n\nURL\n\nURL\n\nURL\n\nURL"
] |
[
"TAGS\n#license-cc-by-nc-sa-4.0 #audio classification #biology #bat #biomonitoring #acoustics #region-us \n",
"# References",
"## Papers\n\nFROMMOLT, KARL-HEINZ. \"The archive of animal sounds at the Humboldt-University of Berlin.\" Bioacoustics 6.4 (1996): 293-296.\n\nGörföl, Tamás, et al. \"ChiroVox: a public library of bat calls.\" PeerJ 10 (2022): e12445.\n\nGotthold, B., Khalighifar, A., Straw, B.R., and Reichert, B.E., 2022, Training dataset for NABat Machine Learning V1.0: U.S. Geological Survey data release, URL\n\nKahl, Stefan, et al. \"BirdNET: A deep learning solution for avian diversity monitoring.\" Ecological Informatics 61 (2021): 101236.\n\nVellinga, Willem-Pier, et al. \"www. xeno-canto. org: a decade on.\"",
"## Links\n\nURL\n\nURL\n\nURL\n\nURL\n\nURL"
] |
[
37,
3,
198,
7
] |
[
"passage: TAGS\n#license-cc-by-nc-sa-4.0 #audio classification #biology #bat #biomonitoring #acoustics #region-us \n# References## Papers\n\nFROMMOLT, KARL-HEINZ. \"The archive of animal sounds at the Humboldt-University of Berlin.\" Bioacoustics 6.4 (1996): 293-296.\n\nGörföl, Tamás, et al. \"ChiroVox: a public library of bat calls.\" PeerJ 10 (2022): e12445.\n\nGotthold, B., Khalighifar, A., Straw, B.R., and Reichert, B.E., 2022, Training dataset for NABat Machine Learning V1.0: U.S. Geological Survey data release, URL\n\nKahl, Stefan, et al. \"BirdNET: A deep learning solution for avian diversity monitoring.\" Ecological Informatics 61 (2021): 101236.\n\nVellinga, Willem-Pier, et al. \"www. xeno-canto. org: a decade on.\"## Links\n\nURL\n\nURL\n\nURL\n\nURL\n\nURL"
] |
1d0bcf99a331191a0b2caa6b619d3b895fbfbb54
|
# Dataset of takagaki_kaede/高垣楓/타카가키카에데 (THE iDOLM@STER: Cinderella Girls)
This is the dataset of takagaki_kaede/高垣楓/타카가키카에데 (THE iDOLM@STER: Cinderella Girls), containing 500 images and their tags.
The core tags of this character are `mole, mole_under_eye, short_hair, blue_eyes, green_eyes, heterochromia, brown_hair, bangs, breasts, green_hair, medium_breasts`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:------------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 701.82 MiB | [Download](https://huggingface.co/datasets/CyberHarem/takagaki_kaede_idolmastercinderellagirls/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 421.50 MiB | [Download](https://huggingface.co/datasets/CyberHarem/takagaki_kaede_idolmastercinderellagirls/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1210 | 899.90 MiB | [Download](https://huggingface.co/datasets/CyberHarem/takagaki_kaede_idolmastercinderellagirls/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 637.26 MiB | [Download](https://huggingface.co/datasets/CyberHarem/takagaki_kaede_idolmastercinderellagirls/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1210 | 1.21 GiB | [Download](https://huggingface.co/datasets/CyberHarem/takagaki_kaede_idolmastercinderellagirls/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/takagaki_kaede_idolmastercinderellagirls',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 14 |  |  |  |  |  | 1girl, solo, looking_at_viewer, simple_background, smile, bare_shoulders, white_background, collarbone, fringe_trim, blush, dress, upper_body |
| 1 | 8 |  |  |  |  |  | 1girl, bare_shoulders, legwear_under_shorts, pantyhose, solo, fringe_trim, looking_at_viewer, smile |
| 2 | 9 |  |  |  |  |  | 1girl, bare_shoulders, looking_at_viewer, solo, blush, smile, alcohol, fringe_trim, cup |
| 3 | 7 |  |  |  |  |  | 1girl, bare_shoulders, elbow_gloves, hair_flower, looking_at_viewer, solo, white_gloves, smile, green_dress, simple_background, white_background |
| 4 | 5 |  |  |  |  |  | 1girl, floral_print, hair_flower, long_sleeves, looking_at_viewer, obi, print_kimono, smile, solo, wide_sleeves, blush, upper_body, blurry, closed_mouth, holding_umbrella, oil-paper_umbrella, parted_lips, purple_flower, red_kimono, yellow_kimono |
| 5 | 5 |  |  |  |  |  | 1girl, blue_skirt, collarbone, floral_print, looking_at_viewer, necklace, sleeveless_shirt, sun_hat, yellow_shirt, blush, solo, handbag, print_skirt, :d, blurry_background, day, disposable_cup, dutch_angle, holding_cup, open_mouth, outdoors, parted_lips, shoulder_bag |
| 6 | 14 |  |  |  |  |  | 1girl, solo, cleavage, looking_at_viewer, navel, necklace, smile, day, outdoors, blush, cloud, white_bikini, bare_shoulders, collarbone, front-tie_top, blue_sky, ocean, palm_tree, beach, earrings, parted_lips, sitting, bangle, drinking_glass, holding_cup, sunlight, water |
| 7 | 7 |  |  |  |  |  | 1girl, blush, cat_ears, cat_tail, looking_at_viewer, short_sleeves, solo, black_dress, black_thighhighs, nail_polish, smile, tail_ornament, animal_ear_fluff, cat_girl, jewelry, zettai_ryouiki, halloween, open_mouth, puffy_sleeves |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | looking_at_viewer | simple_background | smile | bare_shoulders | white_background | collarbone | fringe_trim | blush | dress | upper_body | legwear_under_shorts | pantyhose | alcohol | cup | elbow_gloves | hair_flower | white_gloves | green_dress | floral_print | long_sleeves | obi | print_kimono | wide_sleeves | blurry | closed_mouth | holding_umbrella | oil-paper_umbrella | parted_lips | purple_flower | red_kimono | yellow_kimono | blue_skirt | necklace | sleeveless_shirt | sun_hat | yellow_shirt | handbag | print_skirt | :d | blurry_background | day | disposable_cup | dutch_angle | holding_cup | open_mouth | outdoors | shoulder_bag | cleavage | navel | cloud | white_bikini | front-tie_top | blue_sky | ocean | palm_tree | beach | earrings | sitting | bangle | drinking_glass | sunlight | water | cat_ears | cat_tail | short_sleeves | black_dress | black_thighhighs | nail_polish | tail_ornament | animal_ear_fluff | cat_girl | jewelry | zettai_ryouiki | halloween | puffy_sleeves |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:--------------------|:--------------------|:--------|:-----------------|:-------------------|:-------------|:--------------|:--------|:--------|:-------------|:-----------------------|:------------|:----------|:------|:---------------|:--------------|:---------------|:--------------|:---------------|:---------------|:------|:---------------|:---------------|:---------|:---------------|:-------------------|:---------------------|:--------------|:----------------|:-------------|:----------------|:-------------|:-----------|:-------------------|:----------|:---------------|:----------|:--------------|:-----|:--------------------|:------|:-----------------|:--------------|:--------------|:-------------|:-----------|:---------------|:-----------|:--------|:--------|:---------------|:----------------|:-----------|:--------|:------------|:--------|:-----------|:----------|:---------|:-----------------|:-----------|:--------|:-----------|:-----------|:----------------|:--------------|:-------------------|:--------------|:----------------|:-------------------|:-----------|:----------|:-----------------|:------------|:----------------|
| 0 | 14 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 8 |  |  |  |  |  | X | X | X | | X | X | | | X | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 9 |  |  |  |  |  | X | X | X | | X | X | | | X | X | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | | | | | | | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | X | X | | X | | | | | X | | X | | | | | | X | | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 5 |  |  |  |  |  | X | X | X | | | | | X | | X | | | | | | | | | | | X | | | | | | | | | X | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 14 |  |  |  |  |  | X | X | X | | X | X | | X | | X | | | | | | | | | | | | | | | | | | | | X | | | | | X | | | | | | | | X | | | X | | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | |
| 7 | 7 |  |  |  |  |  | X | X | X | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/takagaki_kaede_idolmastercinderellagirls
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-11T08:25:58+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T09:36:01+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of takagaki\_kaede/高垣楓/타카가키카에데 (THE iDOLM@STER: Cinderella Girls)
=========================================================================
This is the dataset of takagaki\_kaede/高垣楓/타카가키카에데 (THE iDOLM@STER: Cinderella Girls), containing 500 images and their tags.
The core tags of this character are 'mole, mole\_under\_eye, short\_hair, blue\_eyes, green\_eyes, heterochromia, brown\_hair, bangs, breasts, green\_hair, medium\_breasts', which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
----------------
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
List of Clusters
----------------
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
### Table Version
|
[
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version"
] |
[
44,
61,
5,
4
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version"
] |
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