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949d51d0b20c6519642e5aa31b0847e90de7799f
|
# Dataset of euryale/ใจใฆใชใฅใขใฌ/ๅฐค็่พ่ (Fate/Grand Order)
This is the dataset of euryale/ใจใฆใชใฅใขใฌ/ๅฐค็่พ่ (Fate/Grand Order), containing 250 images and their tags.
The core tags of this character are `long_hair, purple_hair, twintails, hairband, very_long_hair, purple_eyes, lolita_hairband, bangs, breasts, frilled_hairband, 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 | 250 | 357.85 MiB | [Download](https://huggingface.co/datasets/CyberHarem/euryale_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 250 | 209.42 MiB | [Download](https://huggingface.co/datasets/CyberHarem/euryale_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 611 | 437.09 MiB | [Download](https://huggingface.co/datasets/CyberHarem/euryale_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 250 | 317.06 MiB | [Download](https://huggingface.co/datasets/CyberHarem/euryale_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 611 | 597.33 MiB | [Download](https://huggingface.co/datasets/CyberHarem/euryale_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/euryale_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 | 9 |  |  |  |  |  | 1girl, frills, looking_at_viewer, solo, white_dress, bare_shoulders, bracelet, necklace, smile, choker, thighlet, armlet, open_mouth |
| 1 | 5 |  |  |  |  |  | 1girl, bare_shoulders, bracelet, choker, collarbone, frills, looking_at_viewer, solo, strapless_dress, white_dress, closed_mouth, blush, cowboy_shot, white_background, black_flower, rose |
| 2 | 5 |  |  |  |  |  | 1girl, bare_shoulders, choker, looking_at_viewer, smile, solo, strapless_dress, white_background, white_dress, black_ribbon, bracelet, frills, simple_background, index_finger_raised |
| 3 | 7 |  |  |  |  |  | 1girl, armlet, blush, bracelet, collarbone, frills, looking_at_viewer, neck_ring, necklace, nipples, parted_bangs, sidelocks, solo, bare_shoulders, open_mouth, white_dress, on_back, orange_eyes, smile, clothes_pull, dakimakura_(medium), slit_pupils |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | frills | looking_at_viewer | solo | white_dress | bare_shoulders | bracelet | necklace | smile | choker | thighlet | armlet | open_mouth | collarbone | strapless_dress | closed_mouth | blush | cowboy_shot | white_background | black_flower | rose | black_ribbon | simple_background | index_finger_raised | neck_ring | nipples | parted_bangs | sidelocks | on_back | orange_eyes | clothes_pull | dakimakura_(medium) | slit_pupils |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------|:--------------------|:-------|:--------------|:-----------------|:-----------|:-----------|:--------|:---------|:-----------|:---------|:-------------|:-------------|:------------------|:---------------|:--------|:--------------|:-------------------|:---------------|:-------|:---------------|:--------------------|:----------------------|:------------|:----------|:---------------|:------------|:----------|:--------------|:---------------|:----------------------|:--------------|
| 0 | 9 |  |  |  |  |  | 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 | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | 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 |
|
CyberHarem/euryale_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-09T22:42:30+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T18:19:43+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of euryale/ใจใฆใชใฅใขใฌ/ๅฐค็่พ่ (Fate/Grand Order)
=================================================
This is the dataset of euryale/ใจใฆใชใฅใขใฌ/ๅฐค็่พ่ (Fate/Grand Order), containing 250 images and their tags.
The core tags of this character are 'long\_hair, purple\_hair, twintails, hairband, very\_long\_hair, purple\_eyes, lolita\_hairband, bangs, breasts, frilled\_hairband, 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"
] |
2af13945d060888419db6d991bf2ea65af9c3d65
|
# Dataset of tsukioka_kogane/ๆๅฒกๆ้ (THE iDOLM@STER: SHINY COLORS)
This is the dataset of tsukioka_kogane/ๆๅฒกๆ้ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `brown_hair, long_hair, breasts, bangs, large_breasts, brown_eyes, bow, ribbon, 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 | 500 | 823.51 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tsukioka_kogane_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 433.56 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tsukioka_kogane_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1261 | 968.86 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tsukioka_kogane_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 715.29 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tsukioka_kogane_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1261 | 1.42 GiB | [Download](https://huggingface.co/datasets/CyberHarem/tsukioka_kogane_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/tsukioka_kogane_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, bare_shoulders, cleavage, looking_at_viewer, navel, open_mouth, smile, solo, blush, simple_background, white_background, collarbone, side-tie_bikini_bottom, swept_bangs, thighs, white_bikini, covered_nipples, huge_breasts, on_side, see-through |
| 1 | 55 |  |  |  |  |  | 1girl, solo, blush, looking_at_viewer, ponytail, blue_bow, smile, blue_skirt, open_mouth, white_background, simple_background, tied_shirt, white_shirt, sleeveless_shirt, blue_ribbon, bracelet |
| 2 | 16 |  |  |  |  |  | 1girl, cleavage, solo, blush, collarbone, looking_at_viewer, navel, smile, outdoors, pink_bikini, day, open_mouth, bare_shoulders, blue_sky, flower, swept_bangs, head_wreath, ocean, side-tie_bikini_bottom, thighs, twin_braids, water, beach, cloud, see-through |
| 3 | 21 |  |  |  |  |  | 1girl, looking_at_viewer, solo, sun_hat, blush, cleavage, flower_necklace, smile, bare_shoulders, bracelet, plaid_bikini, swept_bangs, navel, floral_print, open_mouth, outdoors, collarbone, frills, ocean, side-tie_bikini_bottom, simple_background, sky, white_background |
| 4 | 6 |  |  |  |  |  | 1girl, blush, completely_nude, navel, nipples, ponytail, blue_bow, looking_at_viewer, simple_background, solo, white_background, collarbone, closed_mouth, mosaic_censoring, pussy, sweat, swept_bangs |
| 5 | 15 |  |  |  |  |  | 1girl, blush, cleavage, looking_at_viewer, solo, bra, navel, collarbone, thighs, underwear_only, swept_bangs, bare_shoulders, open_mouth, simple_background, smile, white_background, white_panties |
| 6 | 9 |  |  |  |  |  | 1girl, blush, choker, collarbone, looking_at_viewer, open_mouth, solo, blue_shirt, bow_hairband, hair_ribbon, cleavage, puffy_short_sleeves, white_skirt, :d, see-through |
| 7 | 8 |  |  |  |  |  | 1girl, black_gloves, skirt, solo, corset, looking_at_viewer, open_mouth, puffy_short_sleeves, thighhighs, blush, choker, holding_microphone, smile, black_dress, frills, gears, hair_ornament, pink_eyes, rose, white_background, belt, black_footwear, boots, garter_straps, hat, simple_background |
| 8 | 8 |  |  |  |  |  | 1girl, blush, long_sleeves, looking_at_viewer, solo, closed_mouth, smile, white_background, ribbed_sweater, simple_background, bare_shoulders, blue_sweater, shoulder_cutout, swept_bangs, turtleneck_sweater, black_skirt, hair_ribbon, upper_body |
| 9 | 21 |  |  |  |  |  | 1girl, blush, hetero, nipples, 1boy, solo_focus, navel, completely_nude, open_mouth, penis, pussy, looking_at_viewer, spread_legs, sweat, swept_bangs, sex, vaginal, mosaic_censoring, lying, pov, female_pubic_hair, heart |
| 10 | 10 |  |  |  |  |  | 1girl, blush, cleavage, rabbit_ears, solo, fake_animal_ears, navel, wrist_cuffs, hairband, looking_at_viewer, open_mouth, bare_shoulders, detached_collar, midriff, pink_eyes, pom_pom_(clothes), frilled_skirt, smile, white_skirt, red_bow, white_background |
| 11 | 13 |  |  |  |  |  | 1girl, playboy_bunny, cleavage, rabbit_ears, solo, blush, detached_collar, fake_animal_ears, looking_at_viewer, wrist_cuffs, bare_shoulders, black_leotard, bowtie, simple_background, smile, strapless_leotard, white_background, covered_navel, rabbit_tail, open_mouth, black_pantyhose, closed_mouth, highleg_leotard |
| 12 | 17 |  |  |  |  |  | 1girl, kimono, looking_at_viewer, smile, solo, floral_print, blush, wide_sleeves, obi, flower, hair_ornament, long_sleeves, open_mouth, black_gloves, hat, holding_umbrella, upper_body |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | cleavage | looking_at_viewer | navel | open_mouth | smile | solo | blush | simple_background | white_background | collarbone | side-tie_bikini_bottom | swept_bangs | thighs | white_bikini | covered_nipples | huge_breasts | on_side | see-through | ponytail | blue_bow | blue_skirt | tied_shirt | white_shirt | sleeveless_shirt | blue_ribbon | bracelet | outdoors | pink_bikini | day | blue_sky | flower | head_wreath | ocean | twin_braids | water | beach | cloud | sun_hat | flower_necklace | plaid_bikini | floral_print | frills | sky | completely_nude | nipples | closed_mouth | mosaic_censoring | pussy | sweat | bra | underwear_only | white_panties | choker | blue_shirt | bow_hairband | hair_ribbon | puffy_short_sleeves | white_skirt | :d | black_gloves | skirt | corset | thighhighs | holding_microphone | black_dress | gears | hair_ornament | pink_eyes | rose | belt | black_footwear | boots | garter_straps | hat | long_sleeves | ribbed_sweater | blue_sweater | shoulder_cutout | turtleneck_sweater | black_skirt | upper_body | hetero | 1boy | solo_focus | penis | spread_legs | sex | vaginal | lying | pov | female_pubic_hair | heart | rabbit_ears | fake_animal_ears | wrist_cuffs | hairband | detached_collar | midriff | pom_pom_(clothes) | frilled_skirt | red_bow | playboy_bunny | black_leotard | bowtie | strapless_leotard | covered_navel | rabbit_tail | black_pantyhose | highleg_leotard | kimono | wide_sleeves | obi | holding_umbrella |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-----------------|:-----------|:--------------------|:--------|:-------------|:--------|:-------|:--------|:--------------------|:-------------------|:-------------|:-------------------------|:--------------|:---------|:---------------|:------------------|:---------------|:----------|:--------------|:-----------|:-----------|:-------------|:-------------|:--------------|:-------------------|:--------------|:-----------|:-----------|:--------------|:------|:-----------|:---------|:--------------|:--------|:--------------|:--------|:--------|:--------|:----------|:------------------|:---------------|:---------------|:---------|:------|:------------------|:----------|:---------------|:-------------------|:--------|:--------|:------|:-----------------|:----------------|:---------|:-------------|:---------------|:--------------|:----------------------|:--------------|:-----|:---------------|:--------|:---------|:-------------|:---------------------|:--------------|:--------|:----------------|:------------|:-------|:-------|:-----------------|:--------|:----------------|:------|:---------------|:-----------------|:---------------|:------------------|:---------------------|:--------------|:-------------|:---------|:-------|:-------------|:--------|:--------------|:------|:----------|:--------|:------|:--------------------|:--------|:--------------|:-------------------|:--------------|:-----------|:------------------|:----------|:--------------------|:----------------|:----------|:----------------|:----------------|:---------|:--------------------|:----------------|:--------------|:------------------|:------------------|:---------|:---------------|:------|:-------------------|
| 0 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 55 |  |  |  |  |  | X | | | 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 | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 21 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 15 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 9 |  |  |  |  |  | X | | X | X | | X | | X | X | | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 8 |  |  |  |  |  | X | X | | X | | | X | X | X | X | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 21 |  |  |  |  |  | X | | | X | X | X | | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | |
| 10 | 10 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | |
| 11 | 13 |  |  |  |  |  | X | X | X | X | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | | X | | | | | X | X | X | X | X | X | X | X | | | | |
| 12 | 17 |  |  |  |  |  | X | | | X | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | X | | | | | | | X | | | | | | | X | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X |
|
CyberHarem/tsukioka_kogane_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-09T22:43:54+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T07:35:02+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of tsukioka\_kogane/ๆๅฒกๆ้ (THE iDOLM@STER: SHINY COLORS)
===============================================================
This is the dataset of tsukioka\_kogane/ๆๅฒกๆ้ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'brown\_hair, long\_hair, breasts, bangs, large\_breasts, brown\_eyes, bow, ribbon, 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"
] |
bd44d777ffd04385634d22d70141f2d0a4171b57
|
# Dataset of medusa/ใกใใฅใผใต/็พๆ่ (Fate/Grand Order)
This is the dataset of medusa/ใกใใฅใผใต/็พๆ่ (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `long_hair, purple_hair, very_long_hair, purple_eyes, breasts, 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 | 756.12 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medusa_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 398.89 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medusa_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1162 | 810.20 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medusa_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 651.27 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medusa_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1162 | 1.16 GiB | [Download](https://huggingface.co/datasets/CyberHarem/medusa_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/medusa_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, glasses, official_alternate_costume, solo, jeans, turtleneck, long_sleeves, low-tied_long_hair, black_sweater |
| 1 | 10 |  |  |  |  |  | 1girl, black_sweater, glasses, long_sleeves, solo, forehead, looking_at_viewer, parted_bangs, jeans, official_alternate_costume, simple_background, turtleneck_sweater, white_background, blue_pants, smile, holding_book |
| 2 | 18 |  |  |  |  |  | 1girl, chain, detached_sleeves, forehead_mark, solo, strapless_dress, black_dress, short_dress, weapon, bare_shoulders, black_thighhighs, cleavage, thigh_boots, looking_at_viewer, black_sleeves, blindfold, collarbone, zettai_ryouiki |
| 3 | 21 |  |  |  |  |  | 1girl, blush, solo, blindfold, nude, open_mouth, tentacles, huge_breasts, nipples, sweat, navel, thighs, restrained, parted_bangs, collarbone, forehead |
| 4 | 53 |  |  |  |  |  | 1girl, solo, collar, black_gloves, black_leotard, looking_at_viewer, long_braid, white_thighhighs, black_capelet, black_cloak, covered_navel, thighs, simple_background, blush, single_braid, white_background, chain, hooded_cloak, weapon, breastplate |
| 5 | 14 |  |  |  |  |  | 1girl, solo, black_headwear, hat, long_sleeves, looking_at_viewer, sunglasses, belt, closed_mouth, pink_eyes, bangs, tinted_eyewear, white_shirt, black_dress, black_jacket, round_eyewear, sidelocks, simple_background, open_clothes, twintails |
| 6 | 6 |  |  |  |  |  | 1girl, glasses, pencil_skirt, solo, looking_at_viewer, office_lady, skirt_suit, white_background, high_heels, cleavage, jacket, miniskirt, shirt, simple_background |
| 7 | 5 |  |  |  |  |  | 1girl, blush, hair_flower, head_wreath, solo, twintails, white_thighhighs, detached_sleeves, looking_at_viewer, small_breasts, babydoll, barefoot, hair_intakes, hair_ribbon, navel, official_alternate_costume, open_mouth, parted_bangs, sidelocks, stirrup_legwear, anklet, bare_shoulders, black_panties, christmas_tree, dress_lift, forehead, frills, full_body, gift, lifted_by_self, loli, lying, nipples, no_panties, no_shoes, pink_dress, pussy, red_collar, sitting, white_ribbon |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | glasses | official_alternate_costume | solo | jeans | turtleneck | long_sleeves | low-tied_long_hair | black_sweater | forehead | looking_at_viewer | parted_bangs | simple_background | turtleneck_sweater | white_background | blue_pants | smile | holding_book | chain | detached_sleeves | forehead_mark | strapless_dress | black_dress | short_dress | weapon | bare_shoulders | black_thighhighs | cleavage | thigh_boots | black_sleeves | blindfold | collarbone | zettai_ryouiki | blush | nude | open_mouth | tentacles | huge_breasts | nipples | sweat | navel | thighs | restrained | collar | black_gloves | black_leotard | long_braid | white_thighhighs | black_capelet | black_cloak | covered_navel | single_braid | hooded_cloak | breastplate | black_headwear | hat | sunglasses | belt | closed_mouth | pink_eyes | bangs | tinted_eyewear | white_shirt | black_jacket | round_eyewear | sidelocks | open_clothes | twintails | pencil_skirt | office_lady | skirt_suit | high_heels | jacket | miniskirt | shirt | hair_flower | head_wreath | small_breasts | babydoll | barefoot | hair_intakes | hair_ribbon | stirrup_legwear | anklet | black_panties | christmas_tree | dress_lift | frills | full_body | gift | lifted_by_self | loli | lying | no_panties | no_shoes | pink_dress | pussy | red_collar | sitting | white_ribbon |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:----------|:-----------------------------|:-------|:--------|:-------------|:---------------|:---------------------|:----------------|:-----------|:--------------------|:---------------|:--------------------|:---------------------|:-------------------|:-------------|:--------|:---------------|:--------|:-------------------|:----------------|:------------------|:--------------|:--------------|:---------|:-----------------|:-------------------|:-----------|:--------------|:----------------|:------------|:-------------|:-----------------|:--------|:-------|:-------------|:------------|:---------------|:----------|:--------|:--------|:---------|:-------------|:---------|:---------------|:----------------|:-------------|:-------------------|:----------------|:--------------|:----------------|:---------------|:---------------|:--------------|:-----------------|:------|:-------------|:-------|:---------------|:------------|:--------|:-----------------|:--------------|:---------------|:----------------|:------------|:---------------|:------------|:---------------|:--------------|:-------------|:-------------|:---------|:------------|:--------|:--------------|:--------------|:----------------|:-----------|:-----------|:---------------|:--------------|:------------------|:---------|:----------------|:-----------------|:-------------|:---------|:------------|:-------|:-----------------|:-------|:--------|:-------------|:-----------|:-------------|:--------|:-------------|:----------|:---------------|
| 0 | 16 |  |  |  |  |  | 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 | 18 |  |  |  |  |  | X | | | X | | | | | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 21 |  |  |  |  |  | X | | | X | | | | | | X | | X | | | | | | | | | | | | | | | | | | | X | X | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 53 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 6 |  |  |  |  |  | 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 | X | X | X | X | X | X | X | X |
|
CyberHarem/medusa_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-09T23:50:25+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T04:30:18+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of medusa/ใกใใฅใผใต/็พๆ่ (Fate/Grand Order)
==============================================
This is the dataset of medusa/ใกใใฅใผใต/็พๆ่ (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'long\_hair, purple\_hair, very\_long\_hair, purple\_eyes, breasts, 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"
] |
310469ec7dbf374bafcb2fa2480c0689845f0a3a
|
# Dataset of shirase_sakuya/็ฝ็ฌๅฒ่ถ (THE iDOLM@STER: SHINY COLORS)
This is the dataset of shirase_sakuya/็ฝ็ฌๅฒ่ถ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `long_hair, black_hair, yellow_eyes, breasts, bangs, hair_between_eyes, large_breasts, ponytail, high_ponytail`, 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 | 796.73 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shirase_sakuya_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 409.94 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shirase_sakuya_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1220 | 874.63 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shirase_sakuya_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 683.72 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shirase_sakuya_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1220 | 1.30 GiB | [Download](https://huggingface.co/datasets/CyberHarem/shirase_sakuya_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/shirase_sakuya_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 | 58 |  |  |  |  |  | white_shirt, 1girl, school_uniform, solo, looking_at_viewer, cleavage, pleated_skirt, smile, blush, plaid_skirt, collarbone, dog_tags, green_necktie, dress_shirt, white_background, necklace, simple_background |
| 1 | 6 |  |  |  |  |  | 1boy, 1girl, blush, dress_shirt, female_pubic_hair, hetero, loose_necktie, plaid_skirt, pleated_skirt, pussy, school_uniform, spread_legs, white_shirt, black_socks, green_necktie, green_skirt, kneehighs, penis, sex, skirt_lift, solo_focus, thighs, collarbone, collared_shirt, dog_tags, mosaic_censoring, nipples, vaginal, arms_up, black_panties, dark-skinned_male, handcuffs, interracial, missionary, open_mouth, open_shirt, panties_aside, rape |
| 2 | 32 |  |  |  |  |  | 1girl, solo, cleavage, looking_at_viewer, smile, collarbone, blush, navel, earrings, choker, bare_shoulders, red_bikini, necklace, thighs, side-tie_bikini_bottom |
| 3 | 9 |  |  |  |  |  | 1girl, cleavage, earrings, looking_at_viewer, solo, bare_shoulders, collarbone, blush, smile, blue_dress, choker, hair_flower, necklace, petals, rose |
| 4 | 11 |  |  |  |  |  | 1girl, blush, collarbone, looking_at_viewer, navel, nipples, solo, completely_nude, female_pubic_hair, closed_mouth, smile, thighs, simple_background |
| 5 | 8 |  |  |  |  |  | 1girl, blush, hetero, penis, spread_legs, 1boy, female_pubic_hair, mosaic_censoring, navel, nipples, sweat, completely_nude, solo_focus, on_back, collarbone, cum_in_pussy, after_sex, after_vaginal, cumdrip, open_mouth, tongue |
| 6 | 5 |  |  |  |  |  | 1girl, earrings, looking_at_viewer, shirt, solo, long_sleeves, necklace, parted_lips, collarbone, pants, simple_background, smile, blush, choker, very_long_hair |
| 7 | 5 |  |  |  |  |  | 1boy, 1girl, fellatio, hetero, penis, solo_focus, blush, cleavage, dress_shirt, male_pubic_hair, mosaic_censoring, white_shirt, collared_shirt, erection, necktie, stray_pubic_hair, collarbone, earrings, looking_at_viewer, nude, school_uniform, sweat |
| 8 | 6 |  |  |  |  |  | 1girl, black_dress, enmaided, looking_at_viewer, maid_headdress, solo, blush, frills, maid_apron, cleavage, smile, white_apron, simple_background, thighhighs |
| 9 | 5 |  |  |  |  |  | black_leotard, bowtie, cleavage, detached_collar, fake_animal_ears, looking_at_viewer, playboy_bunny, rabbit_ears, 1girl, bare_shoulders, blush, solo, wrist_cuffs, black_bow, smile, strapless_leotard, black_pantyhose, covered_navel, earrings, fishnets, rabbit_tail, simple_background, sitting, table, thighs, white_background |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | white_shirt | 1girl | school_uniform | solo | looking_at_viewer | cleavage | pleated_skirt | smile | blush | plaid_skirt | collarbone | dog_tags | green_necktie | dress_shirt | white_background | necklace | simple_background | 1boy | female_pubic_hair | hetero | loose_necktie | pussy | spread_legs | black_socks | green_skirt | kneehighs | penis | sex | skirt_lift | solo_focus | thighs | collared_shirt | mosaic_censoring | nipples | vaginal | arms_up | black_panties | dark-skinned_male | handcuffs | interracial | missionary | open_mouth | open_shirt | panties_aside | rape | navel | earrings | choker | bare_shoulders | red_bikini | side-tie_bikini_bottom | blue_dress | hair_flower | petals | rose | completely_nude | closed_mouth | sweat | on_back | cum_in_pussy | after_sex | after_vaginal | cumdrip | tongue | shirt | long_sleeves | parted_lips | pants | very_long_hair | fellatio | male_pubic_hair | erection | necktie | stray_pubic_hair | nude | black_dress | enmaided | maid_headdress | frills | maid_apron | white_apron | thighhighs | black_leotard | bowtie | detached_collar | fake_animal_ears | playboy_bunny | rabbit_ears | wrist_cuffs | black_bow | strapless_leotard | black_pantyhose | covered_navel | fishnets | rabbit_tail | sitting | table |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------|:--------|:-----------------|:-------|:--------------------|:-----------|:----------------|:--------|:--------|:--------------|:-------------|:-----------|:----------------|:--------------|:-------------------|:-----------|:--------------------|:-------|:--------------------|:---------|:----------------|:--------|:--------------|:--------------|:--------------|:------------|:--------|:------|:-------------|:-------------|:---------|:-----------------|:-------------------|:----------|:----------|:----------|:----------------|:--------------------|:------------|:--------------|:-------------|:-------------|:-------------|:----------------|:-------|:--------|:-----------|:---------|:-----------------|:-------------|:-------------------------|:-------------|:--------------|:---------|:-------|:------------------|:---------------|:--------|:----------|:---------------|:------------|:----------------|:----------|:---------|:--------|:---------------|:--------------|:--------|:-----------------|:-----------|:------------------|:-----------|:----------|:-------------------|:-------|:--------------|:-----------|:-----------------|:---------|:-------------|:--------------|:-------------|:----------------|:---------|:------------------|:-------------------|:----------------|:--------------|:--------------|:------------|:--------------------|:------------------|:----------------|:-----------|:--------------|:----------|:--------|
| 0 | 58 |  |  |  |  |  | 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 | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 32 |  |  |  |  |  | | X | | X | X | X | | 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 | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 11 |  |  |  |  |  | | 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 | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | | 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 | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 6 |  |  |  |  |  | | 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 |
|
CyberHarem/shirase_sakuya_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T00:08:50+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T06:06:12+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of shirase\_sakuya/็ฝ็ฌๅฒ่ถ (THE iDOLM@STER: SHINY COLORS)
==============================================================
This is the dataset of shirase\_sakuya/็ฝ็ฌๅฒ่ถ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'long\_hair, black\_hair, yellow\_eyes, breasts, bangs, hair\_between\_eyes, large\_breasts, ponytail, high\_ponytail', 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"
] |
dbbbe399640ba4347dda8ace289ed3c2fbf97ad7
|
# Dataset of boudica/ใใผใใฃใซ/ๅธ็ๅก (Fate/Grand Order)
This is the dataset of boudica/ใใผใใฃใซ/ๅธ็ๅก (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `red_hair, breasts, short_hair, large_breasts, short_ponytail, green_eyes, bangs, ponytail`, 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 | 680.21 MiB | [Download](https://huggingface.co/datasets/CyberHarem/boudica_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 365.93 MiB | [Download](https://huggingface.co/datasets/CyberHarem/boudica_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1207 | 774.47 MiB | [Download](https://huggingface.co/datasets/CyberHarem/boudica_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 593.00 MiB | [Download](https://huggingface.co/datasets/CyberHarem/boudica_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1207 | 1.10 GiB | [Download](https://huggingface.co/datasets/CyberHarem/boudica_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/boudica_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 | 26 |  |  |  |  |  | 1girl, blush, juliet_sleeves, looking_at_viewer, o-ring, shrug_(clothing), white_bikini, cleavage, navel, solo, thighs, thigh_strap, smile, closed_mouth, simple_background |
| 1 | 5 |  |  |  |  |  | 1girl, ass, blush, juliet_sleeves, looking_at_viewer, looking_back, shrug_(clothing), solo, thighs, white_bikini, simple_background, white_background, o-ring, skindentation, thigh_strap, smile |
| 2 | 5 |  |  |  |  |  | 1boy, 1girl, ass, blush, hetero, juliet_sleeves, shrug_(clothing), sweat, thigh_strap, thighs, anus, looking_back, mosaic_censoring, open_mouth, penis, pussy, sex_from_behind, vaginal, all_fours, doggystyle, thigh_boots, thighhighs, brown_footwear, looking_at_viewer, nipples |
| 3 | 5 |  |  |  |  |  | 1boy, 1girl, hetero, smile, solo_focus, blush, nipples, penis, shrug_(clothing), cum_on_breasts, ejaculation, facial, long_sleeves, looking_at_viewer, male_pubic_hair, mosaic_censoring, open_mouth, paizuri, sweat, breasts_squeezed_together, on_back, pov, puffy_sleeves |
| 4 | 5 |  |  |  |  |  | 1girl, blush, female_pubic_hair, navel, nipples, nude, solo, armpits, looking_at_viewer, smile, open_mouth, simple_background, spread_legs, sweat, white_background, arm_up, arms_behind_head, arms_up, bar_censor, hand_fan, high_heels, pussy, white_footwear |
| 5 | 9 |  |  |  |  |  | highleg_leotard, looking_at_viewer, playboy_bunny, blush, fake_animal_ears, rabbit_ears, smile, thighs, 1girl, solo, pantyhose, simple_background, white_background, wrist_cuffs, bare_shoulders, bowtie, cleavage, detached_collar, white_leotard |
| 6 | 9 |  |  |  |  |  | blush, cow_ears, cow_horns, cow_print, 1girl, neck_bell, collar, cowbell, gloves, open_mouth, thighhighs, bare_shoulders, nipples, solo_focus, thighs, aqua_eyes, cleavage, fake_animal_ears, hetero, huge_breasts, lactation, looking_at_viewer |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | blush | juliet_sleeves | looking_at_viewer | o-ring | shrug_(clothing) | white_bikini | cleavage | navel | solo | thighs | thigh_strap | smile | closed_mouth | simple_background | ass | looking_back | white_background | skindentation | 1boy | hetero | sweat | anus | mosaic_censoring | open_mouth | penis | pussy | sex_from_behind | vaginal | all_fours | doggystyle | thigh_boots | thighhighs | brown_footwear | nipples | solo_focus | cum_on_breasts | ejaculation | facial | long_sleeves | male_pubic_hair | paizuri | breasts_squeezed_together | on_back | pov | puffy_sleeves | female_pubic_hair | nude | armpits | spread_legs | arm_up | arms_behind_head | arms_up | bar_censor | hand_fan | high_heels | white_footwear | highleg_leotard | playboy_bunny | fake_animal_ears | rabbit_ears | pantyhose | wrist_cuffs | bare_shoulders | bowtie | detached_collar | white_leotard | cow_ears | cow_horns | cow_print | neck_bell | collar | cowbell | gloves | aqua_eyes | huge_breasts | lactation |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:-----------------|:--------------------|:---------|:-------------------|:---------------|:-----------|:--------|:-------|:---------|:--------------|:--------|:---------------|:--------------------|:------|:---------------|:-------------------|:----------------|:-------|:---------|:--------|:-------|:-------------------|:-------------|:--------|:--------|:------------------|:----------|:------------|:-------------|:--------------|:-------------|:-----------------|:----------|:-------------|:-----------------|:--------------|:---------|:---------------|:------------------|:----------|:----------------------------|:----------|:------|:----------------|:--------------------|:-------|:----------|:--------------|:---------|:-------------------|:----------|:-------------|:-----------|:-------------|:-----------------|:------------------|:----------------|:-------------------|:--------------|:------------|:--------------|:-----------------|:---------|:------------------|:----------------|:-----------|:------------|:------------|:------------|:---------|:----------|:---------|:------------|:---------------|:------------|
| 0 | 26 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 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 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 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 | 9 |  |  |  |  |  | X | X | | X | | | | X | | X | X | | X | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | |
| 6 | 9 |  |  |  |  |  | X | X | | X | | | | X | | | X | | | | | | | | | | X | | | | X | | | | | | | | X | | X | X | | | | | | | | | | | | | | | | | | | | | | | | X | | | | X | | | | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/boudica_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T01:11:59+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T05:30:20+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of boudica/ใใผใใฃใซ/ๅธ็ๅก (Fate/Grand Order)
===============================================
This is the dataset of boudica/ใใผใใฃใซ/ๅธ็ๅก (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'red\_hair, breasts, short\_hair, large\_breasts, short\_ponytail, green\_eyes, bangs, ponytail', 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"
] |
bd4921863a6ad8ad44aae11db8d40f4523c6fc19
|
# Dataset Card for "concatenated_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
SkunkworksAI-shared/concatenated_1
|
[
"region:us"
] |
2023-09-10T01:14:40+00:00
|
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "conversation_id", "dtype": "int64"}, {"name": "dataset_id", "dtype": "string"}, {"name": "unique_conversation_id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4580744904, "num_examples": 2527636}], "download_size": 2447560359, "dataset_size": 4580744904}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-10T01:23:15+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "concatenated_1"
More Information needed
|
[
"# Dataset Card for \"concatenated_1\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"concatenated_1\"\n\nMore Information needed"
] |
[
6,
15
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"concatenated_1\"\n\nMore Information needed"
] |
6a2671b9dea3a575f54dd02898d58f92cc11893d
|
Use it like this.
```
from datasets import load_dataset, Dataset, DatasetDict
import pandas as pd
data_files = {"train": "multilingual_nli_train_df.csv",
"validation": "multilingual_nli_validation_df.csv",
"test": "multilingual_nli_test_df.csv"}
dataset = load_dataset("muhammadravi251001/multilingual-nli-dataset", data_files=data_files)
selected_columns = ["premise", "hypothesis", "label"]
# selected_columns = dataset.column_names['train'] # Uncomment this line to retrieve all of the columns
df_train = pd.DataFrame(dataset["train"])
df_train = df_train[selected_columns]
df_val = pd.DataFrame(dataset["validation"])
df_val = df_val[selected_columns]
df_test = pd.DataFrame(dataset["test"])
df_test = df_test[selected_columns]
train_dataset = Dataset.from_dict(df_train)
validation_dataset = Dataset.from_dict(df_val)
test_dataset = Dataset.from_dict(df_test)
dataset = DatasetDict({"train": train_dataset, "validation": validation_dataset, "test": test_dataset})
df_multilingual_train = pd.DataFrame(dataset['train'])
df_multilingual_validation = pd.DataFrame(dataset['validation'])
df_multilingual_test = pd.DataFrame(dataset['test'])
```
|
muhammadravi251001/multilingual-nli-dataset
|
[
"license:openrail",
"region:us"
] |
2023-09-10T01:27:58+00:00
|
{"license": "openrail"}
|
2023-09-11T06:58:14+00:00
|
[] |
[] |
TAGS
#license-openrail #region-us
|
Use it like this.
|
[] |
[
"TAGS\n#license-openrail #region-us \n"
] |
[
12
] |
[
"passage: TAGS\n#license-openrail #region-us \n"
] |
367e6e547b3dfbe32d9754b4e6f575c503a5b2ae
|
# Dataset of oosaki_tenka/ๅคงๅด็่ฑ (THE iDOLM@STER: SHINY COLORS)
This is the dataset of oosaki_tenka/ๅคงๅด็่ฑ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `long_hair, brown_hair, bangs, yellow_eyes, 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 | 962.26 MiB | [Download](https://huggingface.co/datasets/CyberHarem/oosaki_tenka_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 467.52 MiB | [Download](https://huggingface.co/datasets/CyberHarem/oosaki_tenka_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1308 | 1.04 GiB | [Download](https://huggingface.co/datasets/CyberHarem/oosaki_tenka_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 802.34 MiB | [Download](https://huggingface.co/datasets/CyberHarem/oosaki_tenka_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1308 | 1.66 GiB | [Download](https://huggingface.co/datasets/CyberHarem/oosaki_tenka_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/oosaki_tenka_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, bare_shoulders, blush, collarbone, hairband, looking_at_viewer, sleeveless_dress, solo, black_choker, frilled_dress, horns, white_dress, wrist_cuffs, closed_mouth, wings, bow, brown_eyes, hair_ribbon, holding, simple_background, smile, white_background |
| 1 | 11 |  |  |  |  |  | 1girl, blush, looking_at_viewer, solo, smile, white_gloves, frilled_dress, open_mouth, simple_background, white_background, hair_bow, short_sleeves, upper_body, hair_ornament, purple_dress, side_ponytail |
| 2 | 14 |  |  |  |  |  | 1girl, bare_shoulders, solo, gloves, looking_at_viewer, earrings, blush, beret, collarbone, simple_background, choker, cosmetics, lipstick, purple_dress, shoulder_cutout, upper_body, wavy_hair, white_background |
| 3 | 7 |  |  |  |  |  | 1girl, blush, collared_shirt, long_sleeves, looking_at_viewer, school_uniform, very_long_hair, white_shirt, brown_eyes, pleated_skirt, solo, brown_sweater, diagonal_stripes, plaid_skirt, sleeves_past_wrists, white_background, closed_mouth, simple_background, smile, black_skirt, diagonal-striped_necktie, sitting |
| 4 | 7 |  |  |  |  |  | 1girl, blush, long_sleeves, looking_at_viewer, plaid_skirt, pleated_skirt, school_uniform, necktie, open_mouth, smile, solo, miniskirt, simple_background, white_background, black_skirt, brown_sweater, cowboy_shot, shirt |
| 5 | 5 |  |  |  |  |  | 2girls, blush, long_sleeves, looking_at_viewer, pleated_skirt, school_uniform, plaid_skirt, sisters, twins, open_mouth, simple_background, smile, solo_focus, white_background, white_shirt, black_skirt, brown_eyes, brown_sweater, diagonal_stripes, red_hair, striped_necktie |
| 6 | 6 |  |  |  |  |  | 1girl, black_hoodie, blush, long_sleeves, looking_at_viewer, solo, horns, sitting, blanket, brown_eyes, closed_mouth, drawstring |
| 7 | 6 |  |  |  |  |  | 1girl, blush, looking_at_viewer, hair_ornament, long_sleeves, obi, side_ponytail, solo, :d, blurry_background, depth_of_field, floral_print, open_mouth, print_kimono, sidelocks, wide_sleeves, white_kimono, yukata |
| 8 | 25 |  |  |  |  |  | blush, looking_at_viewer, 1girl, solo, medium_breasts, navel, collarbone, outdoors, cleavage, day, ocean, thighs, blue_sky, open_mouth, cloud, beach, blurry, side-tie_bikini_bottom, wet, bare_shoulders, stomach |
| 9 | 5 |  |  |  |  |  | beret, blush, looking_at_viewer, smile, brown_eyes, sailor_collar, white_dress, white_headwear, 1girl, closed_mouth, holding_hands, pink_bow, puffy_short_sleeves, solo_focus, 2girls, collarbone, sailor_dress, simple_background, very_long_hair, white_background, white_shirt |
| 10 | 5 |  |  |  |  |  | 1girl, blush, cleavage, collarbone, navel, open_mouth, underwear_only, indoors, lace-trimmed_bra, solo, stomach, bow_panties, large_breasts, looking_at_viewer, medium_breasts, mirror, reflection, thighs, white_bra, white_panties, :d, bare_shoulders, bow_bra, lace-trimmed_panties, pink_bra, pink_panties, red_hair, sitting, swept_bangs |
| 11 | 10 |  |  |  |  |  | 1girl, looking_at_viewer, hairclip, solo, long_sleeves, off_shoulder, sitting, blush, holding, shorts, chair, choker, open_clothes, purple_jacket, brown_eyes, can, controller, headphones_around_neck, indoors, open_mouth, scrunchie, socks, thighs, white_shirt |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | blush | collarbone | hairband | looking_at_viewer | sleeveless_dress | solo | black_choker | frilled_dress | horns | white_dress | wrist_cuffs | closed_mouth | wings | bow | brown_eyes | hair_ribbon | holding | simple_background | smile | white_background | white_gloves | open_mouth | hair_bow | short_sleeves | upper_body | hair_ornament | purple_dress | side_ponytail | gloves | earrings | beret | choker | cosmetics | lipstick | shoulder_cutout | wavy_hair | collared_shirt | long_sleeves | school_uniform | very_long_hair | white_shirt | pleated_skirt | brown_sweater | diagonal_stripes | plaid_skirt | sleeves_past_wrists | black_skirt | diagonal-striped_necktie | sitting | necktie | miniskirt | cowboy_shot | shirt | 2girls | sisters | twins | solo_focus | red_hair | striped_necktie | black_hoodie | blanket | drawstring | obi | :d | blurry_background | depth_of_field | floral_print | print_kimono | sidelocks | wide_sleeves | white_kimono | yukata | medium_breasts | navel | outdoors | cleavage | day | ocean | thighs | blue_sky | cloud | beach | blurry | side-tie_bikini_bottom | wet | stomach | sailor_collar | white_headwear | holding_hands | pink_bow | puffy_short_sleeves | sailor_dress | underwear_only | indoors | lace-trimmed_bra | bow_panties | large_breasts | mirror | reflection | white_bra | white_panties | bow_bra | lace-trimmed_panties | pink_bra | pink_panties | swept_bangs | hairclip | off_shoulder | shorts | chair | open_clothes | purple_jacket | can | controller | headphones_around_neck | scrunchie | socks |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-----------------|:--------|:-------------|:-----------|:--------------------|:-------------------|:-------|:---------------|:----------------|:--------|:--------------|:--------------|:---------------|:--------|:------|:-------------|:--------------|:----------|:--------------------|:--------|:-------------------|:---------------|:-------------|:-----------|:----------------|:-------------|:----------------|:---------------|:----------------|:---------|:-----------|:--------|:---------|:------------|:-----------|:------------------|:------------|:-----------------|:---------------|:-----------------|:-----------------|:--------------|:----------------|:----------------|:-------------------|:--------------|:----------------------|:--------------|:---------------------------|:----------|:----------|:------------|:--------------|:--------|:---------|:----------|:--------|:-------------|:-----------|:------------------|:---------------|:----------|:-------------|:------|:-----|:--------------------|:-----------------|:---------------|:---------------|:------------|:---------------|:---------------|:---------|:-----------------|:--------|:-----------|:-----------|:------|:--------|:---------|:-----------|:--------|:--------|:---------|:-------------------------|:------|:----------|:----------------|:-----------------|:----------------|:-----------|:----------------------|:---------------|:-----------------|:----------|:-------------------|:--------------|:----------------|:---------|:-------------|:------------|:----------------|:----------|:-----------------------|:-----------|:---------------|:--------------|:-----------|:---------------|:---------|:--------|:---------------|:----------------|:------|:-------------|:-------------------------|:------------|:--------|
| 0 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 11 |  |  |  |  |  | X | | X | | | X | | X | | X | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 14 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 7 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 6 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 25 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | |
| 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 | X | X | | | | | | | | | | | |
| 11 | 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 |
|
CyberHarem/oosaki_tenka_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T01:29:31+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T05:25:52+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of oosaki\_tenka/ๅคงๅด็่ฑ (THE iDOLM@STER: SHINY COLORS)
============================================================
This is the dataset of oosaki\_tenka/ๅคงๅด็่ฑ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'long\_hair, brown\_hair, bangs, yellow\_eyes, 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"
] |
79fc6933d5fd707964b564eb12cc6c06a16d53aa
|
TLDR
- website: [timchew](https://timchew.net/)
- num. of webpages scraped: 839
- link to dataset: https://huggingface.co/datasets/wanadzhar913/crawl-timchew
- last date of scraping: 10th September 2023
- status: complete
- pull request: https://github.com/huseinzol05/malaysian-dataset/pull/313
- contributed to: https://github.com/huseinzol05/malaysian-dataset
|
wanadzhar913/crawl-timchew
|
[
"language:en",
"license:apache-2.0",
"region:us"
] |
2023-09-10T02:09:09+00:00
|
{"language": ["en"], "license": "apache-2.0"}
|
2023-09-10T02:23:53+00:00
|
[] |
[
"en"
] |
TAGS
#language-English #license-apache-2.0 #region-us
|
TLDR
- website: timchew
- num. of webpages scraped: 839
- link to dataset: URL
- last date of scraping: 10th September 2023
- status: complete
- pull request: URL
- contributed to: URL
|
[] |
[
"TAGS\n#language-English #license-apache-2.0 #region-us \n"
] |
[
18
] |
[
"passage: TAGS\n#language-English #license-apache-2.0 #region-us \n"
] |
4f788432cc75a39f231304ab6bd8ff9201ac7839
|
# Dataset Card for "base_aug_syn_60_no_shift_spkn_55"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
linhqyy/base_aug_syn_60_no_shift_spkn_55
|
[
"region:us"
] |
2023-09-10T02:13:03+00:00
|
{"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "id", "dtype": "string"}, {"name": "w2v2_baseline_transcription", "dtype": "string"}, {"name": "w2v2_baseline_norm", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 174371410.027, "num_examples": 1299}], "download_size": 164199645, "dataset_size": 174371410.027}}
|
2023-09-10T02:13:13+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "base_aug_syn_60_no_shift_spkn_55"
More Information needed
|
[
"# Dataset Card for \"base_aug_syn_60_no_shift_spkn_55\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"base_aug_syn_60_no_shift_spkn_55\"\n\nMore Information needed"
] |
[
6,
28
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"base_aug_syn_60_no_shift_spkn_55\"\n\nMore Information needed"
] |
475c03f65527e21d01e9a4e4444f3cb9494c11b0
|
# Dataset Card for "car_embeddings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
ucalyptus/car_embeddings
|
[
"region:us"
] |
2023-09-10T02:22:49+00:00
|
{"dataset_info": {"features": [{"name": "0", "dtype": "float32"}, {"name": "1", "dtype": "float32"}, {"name": "2", "dtype": "float32"}, {"name": "3", "dtype": "float32"}, {"name": "4", "dtype": "float32"}, {"name": "5", "dtype": "float32"}, {"name": "6", "dtype": "float32"}, {"name": "7", "dtype": "float32"}, {"name": "8", "dtype": "float32"}, {"name": "9", "dtype": "float32"}, {"name": "10", "dtype": "float32"}, {"name": "11", "dtype": "float32"}, {"name": "12", "dtype": "float32"}, {"name": "13", "dtype": "float32"}, {"name": "14", "dtype": "float32"}, {"name": "15", "dtype": "float32"}, {"name": "16", "dtype": "float32"}, {"name": "17", "dtype": "float32"}, {"name": "18", "dtype": "float32"}, {"name": "19", "dtype": "float32"}, {"name": "20", "dtype": "float32"}, {"name": "21", "dtype": "float32"}, {"name": "22", "dtype": "float32"}, {"name": "23", "dtype": "float32"}, {"name": "24", "dtype": "float32"}, {"name": "25", "dtype": "float32"}, {"name": "26", "dtype": "float32"}, {"name": "27", "dtype": "float32"}, {"name": "28", "dtype": "float32"}, {"name": "29", "dtype": "float32"}, {"name": "30", "dtype": "float32"}, {"name": "31", "dtype": "float32"}, {"name": "32", "dtype": "float32"}, {"name": "33", "dtype": "float32"}, {"name": "34", "dtype": "float32"}, {"name": "35", "dtype": "float32"}, {"name": "36", "dtype": "float32"}, {"name": "37", "dtype": "float32"}, {"name": "38", "dtype": "float32"}, {"name": "39", "dtype": "float32"}, {"name": "40", "dtype": "float32"}, {"name": "41", "dtype": "float32"}, {"name": "42", "dtype": "float32"}, {"name": "43", "dtype": "float32"}, {"name": "44", "dtype": "float32"}, {"name": "45", "dtype": "float32"}, {"name": "46", "dtype": "float32"}, {"name": "47", "dtype": "float32"}, {"name": "48", "dtype": "float32"}, {"name": "49", "dtype": "float32"}, {"name": "50", "dtype": "float32"}, {"name": "51", "dtype": "float32"}, {"name": "52", "dtype": "float32"}, {"name": "53", "dtype": "float32"}, {"name": "54", "dtype": "float32"}, {"name": "55", "dtype": "float32"}, {"name": "56", "dtype": "float32"}, {"name": "57", "dtype": "float32"}, {"name": "58", "dtype": "float32"}, {"name": "59", "dtype": "float32"}, {"name": "60", "dtype": "float32"}, {"name": "61", "dtype": "float32"}, {"name": "62", "dtype": "float32"}, {"name": "63", "dtype": "float32"}, {"name": "64", "dtype": "float32"}, {"name": "65", "dtype": "float32"}, {"name": "66", "dtype": "float32"}, {"name": "67", "dtype": "float32"}, {"name": "68", "dtype": "float32"}, {"name": "69", "dtype": "float32"}, {"name": "70", "dtype": "float32"}, {"name": "71", "dtype": "float32"}, {"name": "72", "dtype": "float32"}, {"name": "73", "dtype": "float32"}, {"name": "74", "dtype": "float32"}, {"name": "75", "dtype": "float32"}, {"name": "76", "dtype": "float32"}, {"name": "77", "dtype": "float32"}, {"name": "78", "dtype": "float32"}, {"name": "79", "dtype": "float32"}, {"name": "80", "dtype": "float32"}, {"name": "81", "dtype": "float32"}, {"name": "82", "dtype": "float32"}, {"name": "83", "dtype": "float32"}, {"name": "84", "dtype": "float32"}, {"name": "85", "dtype": "float32"}, {"name": "86", "dtype": "float32"}, {"name": "87", "dtype": "float32"}, {"name": "88", "dtype": "float32"}, {"name": "89", "dtype": "float32"}, {"name": "90", "dtype": "float32"}, {"name": "91", "dtype": "float32"}, {"name": "92", "dtype": "float32"}, {"name": "93", "dtype": "float32"}, {"name": "94", "dtype": "float32"}, {"name": "95", "dtype": "float32"}, {"name": "96", "dtype": "float32"}, {"name": "97", "dtype": "float32"}, {"name": "98", "dtype": "float32"}, {"name": "99", "dtype": "float32"}, {"name": "100", "dtype": "float32"}, {"name": "101", "dtype": "float32"}, {"name": "102", "dtype": "float32"}, {"name": "103", "dtype": "float32"}, {"name": "104", "dtype": "float32"}, {"name": "105", "dtype": "float32"}, {"name": "106", "dtype": "float32"}, {"name": "107", "dtype": "float32"}, {"name": "108", "dtype": "float32"}, {"name": "109", "dtype": "float32"}, {"name": "110", "dtype": "float32"}, {"name": "111", "dtype": "float32"}, {"name": "112", "dtype": "float32"}, {"name": "113", "dtype": "float32"}, {"name": "114", "dtype": "float32"}, {"name": "115", "dtype": "float32"}, {"name": "116", "dtype": "float32"}, {"name": "117", "dtype": "float32"}, {"name": "118", "dtype": "float32"}, {"name": "119", "dtype": "float32"}, {"name": "120", "dtype": "float32"}, {"name": "121", "dtype": "float32"}, {"name": "122", "dtype": "float32"}, {"name": "123", "dtype": "float32"}, {"name": "124", "dtype": "float32"}, {"name": "125", "dtype": "float32"}, {"name": "126", "dtype": "float32"}, {"name": "127", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 4169728, "num_examples": 8144}], "download_size": 303332, "dataset_size": 4169728}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-10T02:22:54+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "car_embeddings"
More Information needed
|
[
"# Dataset Card for \"car_embeddings\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"car_embeddings\"\n\nMore Information needed"
] |
[
6,
15
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"car_embeddings\"\n\nMore Information needed"
] |
59381ffb9e9db2fe879fcdcf7dc110ba29cb7c7a
|
# Dataset of ushiwakamaru/็่ฅไธธ/็่ฅไธธ (Fate/Grand Order)
This is the dataset of ushiwakamaru/็่ฅไธธ/็่ฅไธธ (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `long_hair, black_hair, side_ponytail, breasts, bangs, blue_eyes, very_long_hair, parted_bangs, medium_breasts, hat, hair_ornament, sidelocks, feather_hair_ornament, black_headwear`, 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 | 736.72 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ushiwakamaru_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 388.02 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ushiwakamaru_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1243 | 840.42 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ushiwakamaru_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 642.34 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ushiwakamaru_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1243 | 1.19 GiB | [Download](https://huggingface.co/datasets/CyberHarem/ushiwakamaru_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/ushiwakamaru_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 | 74 |  |  |  |  |  | 1girl, breast_curtains, detached_sleeves, feathers, revealing_clothes, solo, white_sleeves, katana, mismatched_sleeves, pom_pom_(clothes), tate_eboshi, kusazuri, purple_sleeves, looking_at_viewer, sode, tassel, blue_panties, stomach, navel, holding_sword, single_pantsleg, holding_sheath, wide_sleeves, blue_gloves, simple_background, white_background, smile, single_glove, white_socks, sheathed |
| 1 | 8 |  |  |  |  |  | 1girl, looking_at_viewer, solo, tate_eboshi, multicolored_eyes, purple_lips, forehead_mark, gloves, katana, makeup, navel, holding_sword, purple_eyes, smile, single_hair_bun, single_side_bun, thighs, arm_guards, dual_wielding, kote, orange_eyes, sode, tassel, thighhighs |
| 2 | 10 |  |  |  |  |  | 1girl, long_sleeves, single_hair_bun, solo, yellow_jacket, blue_bikini, blush, collarbone, looking_at_viewer, single_side_bun, smile, navel, thighs, bare_shoulders, open_jacket, open_mouth, large_breasts |
| 3 | 6 |  |  |  |  |  | 1girl, blue_bikini, navel, solo, jacket_over_swimsuit, looking_at_viewer, open_mouth, single_hair_bun, yellow_jacket, :d, sandals |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | breast_curtains | detached_sleeves | feathers | revealing_clothes | solo | white_sleeves | katana | mismatched_sleeves | pom_pom_(clothes) | tate_eboshi | kusazuri | purple_sleeves | looking_at_viewer | sode | tassel | blue_panties | stomach | navel | holding_sword | single_pantsleg | holding_sheath | wide_sleeves | blue_gloves | simple_background | white_background | smile | single_glove | white_socks | sheathed | multicolored_eyes | purple_lips | forehead_mark | gloves | makeup | purple_eyes | single_hair_bun | single_side_bun | thighs | arm_guards | dual_wielding | kote | orange_eyes | thighhighs | long_sleeves | yellow_jacket | blue_bikini | blush | collarbone | bare_shoulders | open_jacket | open_mouth | large_breasts | jacket_over_swimsuit | :d | sandals |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:------------------|:-------------------|:-----------|:--------------------|:-------|:----------------|:---------|:---------------------|:--------------------|:--------------|:-----------|:-----------------|:--------------------|:-------|:---------|:---------------|:----------|:--------|:----------------|:------------------|:-----------------|:---------------|:--------------|:--------------------|:-------------------|:--------|:---------------|:--------------|:-----------|:--------------------|:--------------|:----------------|:---------|:---------|:--------------|:------------------|:------------------|:---------|:-------------|:----------------|:-------|:--------------|:-------------|:---------------|:----------------|:--------------|:--------|:-------------|:-----------------|:--------------|:-------------|:----------------|:-----------------------|:-----|:----------|
| 0 | 74 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 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 | | | | | | | | | | | | |
| 2 | 10 |  |  |  |  |  | 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 |
|
CyberHarem/ushiwakamaru_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T02:40:07+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T01:05:26+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of ushiwakamaru/็่ฅไธธ/็่ฅไธธ (Fate/Grand Order)
==================================================
This is the dataset of ushiwakamaru/็่ฅไธธ/็่ฅไธธ (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'long\_hair, black\_hair, side\_ponytail, breasts, bangs, blue\_eyes, very\_long\_hair, parted\_bangs, medium\_breasts, hat, hair\_ornament, sidelocks, feather\_hair\_ornament, black\_headwear', 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"
] |
2428b585fa3b0633ef0543d4e7f2a0a423889afb
|
# Dataset Card for "pharsebank_5k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
judy93536/pharsebank_5k
|
[
"region:us"
] |
2023-09-10T02:50:03+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 542147, "num_examples": 3999}, {"name": "test", "num_bytes": 137048, "num_examples": 999}], "download_size": 379517, "dataset_size": 679195}}
|
2023-09-12T23:12:28+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "pharsebank_5k"
More Information needed
|
[
"# Dataset Card for \"pharsebank_5k\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"pharsebank_5k\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"pharsebank_5k\"\n\nMore Information needed"
] |
d378d0070596d4d24d56c3e6c517e1ec8025551c
|
# Dataset of kuwayama_chiyuki/ๆกๅฑฑๅ้ช (THE iDOLM@STER: SHINY COLORS)
This is the dataset of kuwayama_chiyuki/ๆกๅฑฑๅ้ช (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `brown_hair, long_hair, breasts, bangs, brown_eyes, ahoge, large_breasts, braid, single_braid`, 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 | 853.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kuwayama_chiyuki_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 422.20 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kuwayama_chiyuki_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1288 | 962.27 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kuwayama_chiyuki_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 722.37 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kuwayama_chiyuki_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1288 | 1.45 GiB | [Download](https://huggingface.co/datasets/CyberHarem/kuwayama_chiyuki_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/kuwayama_chiyuki_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 | 20 |  |  |  |  |  | 1girl, cheerleader, holding_pom_poms, ponytail, solo, blush, crop_top, looking_at_viewer, midriff, miniskirt, navel, pleated_skirt, open_mouth, cleavage, bike_shorts_under_skirt, collarbone, short_sleeves, white_skirt, simple_background, sweat, white_footwear, yellow_belt, :d, black_choker, blue_shirt, boots, confetti, ribbon, white_background |
| 1 | 5 |  |  |  |  |  | 1girl, blush, bracelet, cleavage, collarbone, looking_at_viewer, navel, smile, solo, thighs, bare_shoulders, hair_ornament, sitting, crown_braid, earrings, ponytail, white_bikini, cup, drinking_straw, halterneck, holding, open_mouth, outdoors, white_background |
| 2 | 10 |  |  |  |  |  | 1girl, blush, cleavage, floral_print, looking_at_viewer, solo, necklace, pink_one-piece_swimsuit, smile, earrings, armpits, arms_up, casual_one-piece_swimsuit, collarbone, thighs, cowboy_shot, hairclip, open_mouth, wet |
| 3 | 6 |  |  |  |  |  | 1girl, blush, looking_at_viewer, smile, solo, white_background, simple_background, skirt, sleeveless_shirt, bare_shoulders, black_shirt |
| 4 | 23 |  |  |  |  |  | 1girl, short_sleeves, white_shirt, blush, hair_over_shoulder, solo, hair_bow, smile, black_bow, braided_ponytail, looking_at_viewer, long_braid, white_background, open_mouth, simple_background, collared_shirt, red_skirt |
| 5 | 7 |  |  |  |  |  | 1girl, bare_shoulders, frills, looking_at_viewer, solo, blush, braided_ponytail, white_background, simple_background, white_dress, wrist_cuffs, hairband, long_braid, medium_breasts, open_mouth, :d, hair_bow, hair_ribbon, halterneck, holding, microphone, short_sleeves, thighhighs |
| 6 | 19 |  |  |  |  |  | 1boy, 1girl, blush, hetero, solo_focus, nipples, paizuri, smile, sweat, collarbone, nude, breasts_squeezed_together, looking_at_viewer, open_mouth, penis, huge_breasts, braided_ponytail, pov, censored, hair_over_shoulder, long_braid, breast_grab |
| 7 | 12 |  |  |  |  |  | 1boy, 1girl, blush, hetero, sex, collarbone, nipples, vaginal, completely_nude, navel, solo_focus, cowgirl_position, girl_on_top, spread_legs, sweat, looking_at_viewer, open_mouth, penis, pussy, female_pubic_hair, thighs, mosaic_censoring, smile |
| 8 | 7 |  |  |  |  |  | 1girl, hair_flower, solo, wedding_dress, white_dress, bare_shoulders, blush, bridal_veil, detached_sleeves, looking_at_viewer, white_gloves, bride, earrings, holding_bouquet, see-through_sleeves, sleeveless_dress, petals, smile, blurry |
| 9 | 11 |  |  |  |  |  | 1girl, bare_shoulders, elbow_gloves, looking_at_viewer, sleeveless_shirt, black_gloves, solo, blush, cleavage, peaked_cap, white_shirt, black_necktie, hair_over_shoulder, long_braid, smile, collarbone, necktie_between_breasts, collared_shirt, earrings, holding, black_headwear, riding_crop, skirt, shorts, sidelocks, white_background |
| 10 | 8 |  |  |  |  |  | 1girl, blush, looking_at_viewer, solo, cleavage, navel, underwear_only, bow, collarbone, sweat, thighs, armpits, black_bra, black_panties, braided_ponytail, hair_over_shoulder, indoors, lingerie, smile, arms_up, lace-trimmed_bra, on_back, parted_lips, stomach |
| 11 | 6 |  |  |  |  |  | 1girl, looking_at_viewer, solo, obi, wide_sleeves, blush, hair_ribbon, leaf, autumn_leaves, holding, light_smile, outdoors, shawl, single_hair_bun, striped_kimono, upper_body |
| 12 | 6 |  |  |  |  |  | 1girl, long_sleeves, solo, blush, looking_at_viewer, maid_apron, maid_headdress, twin_braids, bow, enmaided, glasses, hair_over_shoulder, smile, white_apron, black_dress, closed_mouth, frills, indoors, round_eyewear |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | cheerleader | holding_pom_poms | ponytail | solo | blush | crop_top | looking_at_viewer | midriff | miniskirt | navel | pleated_skirt | open_mouth | cleavage | bike_shorts_under_skirt | collarbone | short_sleeves | white_skirt | simple_background | sweat | white_footwear | yellow_belt | :d | black_choker | blue_shirt | boots | confetti | ribbon | white_background | bracelet | smile | thighs | bare_shoulders | hair_ornament | sitting | crown_braid | earrings | white_bikini | cup | drinking_straw | halterneck | holding | outdoors | floral_print | necklace | pink_one-piece_swimsuit | armpits | arms_up | casual_one-piece_swimsuit | cowboy_shot | hairclip | wet | skirt | sleeveless_shirt | black_shirt | white_shirt | hair_over_shoulder | hair_bow | black_bow | braided_ponytail | long_braid | collared_shirt | red_skirt | frills | white_dress | wrist_cuffs | hairband | medium_breasts | hair_ribbon | microphone | thighhighs | 1boy | hetero | solo_focus | nipples | paizuri | nude | breasts_squeezed_together | penis | huge_breasts | pov | censored | breast_grab | sex | vaginal | completely_nude | cowgirl_position | girl_on_top | spread_legs | pussy | female_pubic_hair | mosaic_censoring | hair_flower | wedding_dress | bridal_veil | detached_sleeves | white_gloves | bride | holding_bouquet | see-through_sleeves | sleeveless_dress | petals | blurry | elbow_gloves | black_gloves | peaked_cap | black_necktie | necktie_between_breasts | black_headwear | riding_crop | shorts | sidelocks | underwear_only | bow | black_bra | black_panties | indoors | lingerie | lace-trimmed_bra | on_back | parted_lips | stomach | obi | wide_sleeves | leaf | autumn_leaves | light_smile | shawl | single_hair_bun | striped_kimono | upper_body | long_sleeves | maid_apron | maid_headdress | twin_braids | enmaided | glasses | white_apron | black_dress | closed_mouth | round_eyewear |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------------|:-------------------|:-----------|:-------|:--------|:-----------|:--------------------|:----------|:------------|:--------|:----------------|:-------------|:-----------|:--------------------------|:-------------|:----------------|:--------------|:--------------------|:--------|:-----------------|:--------------|:-----|:---------------|:-------------|:--------|:-----------|:---------|:-------------------|:-----------|:--------|:---------|:-----------------|:----------------|:----------|:--------------|:-----------|:---------------|:------|:-----------------|:-------------|:----------|:-----------|:---------------|:-----------|:--------------------------|:----------|:----------|:----------------------------|:--------------|:-----------|:------|:--------|:-------------------|:--------------|:--------------|:---------------------|:-----------|:------------|:-------------------|:-------------|:-----------------|:------------|:---------|:--------------|:--------------|:-----------|:-----------------|:--------------|:-------------|:-------------|:-------|:---------|:-------------|:----------|:----------|:-------|:----------------------------|:--------|:---------------|:------|:-----------|:--------------|:------|:----------|:------------------|:-------------------|:--------------|:--------------|:--------|:--------------------|:-------------------|:--------------|:----------------|:--------------|:-------------------|:---------------|:--------|:------------------|:----------------------|:-------------------|:---------|:---------|:---------------|:---------------|:-------------|:----------------|:--------------------------|:-----------------|:--------------|:---------|:------------|:-----------------|:------|:------------|:----------------|:----------|:-----------|:-------------------|:----------|:--------------|:----------|:------|:---------------|:-------|:----------------|:--------------|:--------|:------------------|:-----------------|:-------------|:---------------|:-------------|:-----------------|:--------------|:-----------|:----------|:--------------|:--------------|:---------------|:----------------|
| 0 | 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 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 10 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 23 |  |  |  |  |  | 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 | 19 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 7 |  |  |  |  |  | X | | | | X | X | | X | | | | | | | | | | | | | | | | | | | | | | | X | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 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 | | | | | | | | | | | | | | | | | | | |
| 11 | 6 |  |  |  |  |  | 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 | X | X | X | X | X | X | X |
|
CyberHarem/kuwayama_chiyuki_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T02:54:03+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T05:54:13+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of kuwayama\_chiyuki/ๆกๅฑฑๅ้ช (THE iDOLM@STER: SHINY COLORS)
================================================================
This is the dataset of kuwayama\_chiyuki/ๆกๅฑฑๅ้ช (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'brown\_hair, long\_hair, breasts, bangs, brown\_eyes, ahoge, large\_breasts, braid, single\_braid', 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"
] |
bf562c3bbeef875a4007c6453be1c64c84f3e8b5
|
# Dataset Card for "isbndb-annas-duplicates"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
P1ayer-1/isbndb-annas-textbook-meta
|
[
"region:us"
] |
2023-09-10T03:12:41+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "authors", "dtype": "string"}, {"name": "color", "sequence": "float64"}, {"name": "depth", "dtype": "int64"}, {"name": "field", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "match_count", "dtype": "int64"}, {"name": "position", "sequence": "float64"}, {"name": "title", "dtype": "string"}, {"name": "author_hashes", "dtype": "string"}, {"name": "title_hashes", "dtype": "string"}, {"name": "isbn", "sequence": "string"}, {"name": "isbn13", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 15013450, "num_examples": 61419}], "download_size": 9443920, "dataset_size": 15013450}}
|
2023-09-10T03:12:44+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "isbndb-annas-duplicates"
More Information needed
|
[
"# Dataset Card for \"isbndb-annas-duplicates\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"isbndb-annas-duplicates\"\n\nMore Information needed"
] |
[
6,
20
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"isbndb-annas-duplicates\"\n\nMore Information needed"
] |
daac5dd549449045c06f5107a6da6bbb658b1877
|
# Dataset of marie (Pokรฉmon)
This is the dataset of marie (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are `bangs, black_hair, asymmetrical_bangs, ribbon, hair_ribbon, twintails, red_ribbon, earrings, green_eyes, long_hair, breasts, medium_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 | 667.88 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 358.88 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1247 | 789.91 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 577.25 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1247 | 1.14 GiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_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/marie_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, black_choker, black_jacket, closed_mouth, holding_poke_ball, jewelry, long_sleeves, looking_at_viewer, open_jacket, pink_dress, poke_ball_(basic), simple_background, solo, collarbone, black_nails, white_background, nail_polish, blush, aqua_eyes, asymmetrical_hair, small_breasts |
| 1 | 5 |  |  |  |  |  | 1girl, black_choker, black_jacket, black_nails, closed_mouth, holding_poke_ball, jewelry, long_sleeves, looking_at_viewer, nail_polish, open_jacket, pink_dress, solo, poke_ball_(basic), aqua_eyes, blush |
| 2 | 8 |  |  |  |  |  | 1girl, black_choker, black_footwear, black_jacket, closed_mouth, full_body, holding_poke_ball, long_sleeves, open_jacket, pink_dress, solo, jewelry, looking_at_viewer, poke_ball_(basic), standing, black_nails, nail_polish, simple_background, white_background, ankle_boots, eyelashes, undercut |
| 3 | 15 |  |  |  |  |  | 1girl, black_choker, black_jacket, looking_at_viewer, pink_dress, closed_mouth, long_sleeves, open_jacket, black_nails, blush, solo, white_background, jewelry, nail_polish, simple_background, upper_body, collarbone, eyelashes, hands_up, aqua_eyes, fingersmile |
| 4 | 6 |  |  |  |  |  | 1girl, armpits, black_choker, closed_mouth, looking_at_viewer, midriff, navel, small_breasts, solo, arms_up, blush, sports_bra, sweat, blurry, stomach, upper_body |
| 5 | 7 |  |  |  |  |  | 1girl, midriff, navel, black_choker, blush, closed_mouth, looking_at_viewer, solo, sports_bra, stomach, bare_shoulders, collarbone, simple_background, small_breasts, cowboy_shot, holding_poke_ball, jewelry, poke_ball_(basic), sportswear, groin, shorts |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_choker | black_jacket | closed_mouth | holding_poke_ball | jewelry | long_sleeves | looking_at_viewer | open_jacket | pink_dress | poke_ball_(basic) | simple_background | solo | collarbone | black_nails | white_background | nail_polish | blush | aqua_eyes | asymmetrical_hair | small_breasts | black_footwear | full_body | standing | ankle_boots | eyelashes | undercut | upper_body | hands_up | fingersmile | armpits | midriff | navel | arms_up | sports_bra | sweat | blurry | stomach | bare_shoulders | cowboy_shot | sportswear | groin | shorts |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:---------------|:---------------|:--------------------|:----------|:---------------|:--------------------|:--------------|:-------------|:--------------------|:--------------------|:-------|:-------------|:--------------|:-------------------|:--------------|:--------|:------------|:--------------------|:----------------|:-----------------|:------------|:-----------|:--------------|:------------|:-----------|:-------------|:-----------|:--------------|:----------|:----------|:--------|:----------|:-------------|:--------|:---------|:----------|:-----------------|:--------------|:-------------|:--------|:---------|
| 0 | 16 |  |  |  |  |  | X | X | X | X | 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 | | | | | | | | | | | | | | | | | | | | | | | | |
| 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 | 15 |  |  |  |  |  | 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 | | | | | |
| 5 | 7 |  |  |  |  |  | X | X | | X | X | X | | X | | | X | X | X | X | | | | X | | | X | | | | | | | | | | | X | X | | X | | | X | X | X | X | X | X |
|
CyberHarem/marie_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T03:27:56+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T16:26:52+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of marie (Pokรฉmon)
==========================
This is the dataset of marie (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are 'bangs, black\_hair, asymmetrical\_bangs, ribbon, hair\_ribbon, twintails, red\_ribbon, earrings, green\_eyes, long\_hair, breasts, medium\_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"
] |
12f9345fcebdb229e3ee170cca59e3bfe5a22beb
|
# Dataset Card for "shp-generated_flan_t5_large_external_rm1_large"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
dongyoung4091/shp-generated_flan_t5_large_external_rm1_large
|
[
"region:us"
] |
2023-09-10T03:50:41+00:00
|
{"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "external_rm1", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 27036265, "num_examples": 25600}], "download_size": 1846172, "dataset_size": 27036265}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-10T03:50:46+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "shp-generated_flan_t5_large_external_rm1_large"
More Information needed
|
[
"# Dataset Card for \"shp-generated_flan_t5_large_external_rm1_large\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"shp-generated_flan_t5_large_external_rm1_large\"\n\nMore Information needed"
] |
[
6,
34
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"shp-generated_flan_t5_large_external_rm1_large\"\n\nMore Information needed"
] |
8094c56b05fe6314f7d2e2a6a163b92e27e69bca
|
# Dataset Card for "treasure-island-book"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
AlexZhukov/treasure-island-book
|
[
"region:us"
] |
2023-09-10T04:10:34+00:00
|
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 367341, "num_examples": 1}], "download_size": 224530, "dataset_size": 367341}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-10T04:10:37+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "treasure-island-book"
More Information needed
|
[
"# Dataset Card for \"treasure-island-book\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"treasure-island-book\"\n\nMore Information needed"
] |
[
6,
18
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"treasure-island-book\"\n\nMore Information needed"
] |
19c72e63c42505052ae1d4ee153ef06570ff299e
|
# Dataset of oosaki_amana/ๅคงๅด็ๅฅ (THE iDOLM@STER: SHINY COLORS)
This is the dataset of oosaki_amana/ๅคงๅด็ๅฅ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `long_hair, bangs, brown_hair, yellow_eyes, breasts, 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 | 978.68 MiB | [Download](https://huggingface.co/datasets/CyberHarem/oosaki_amana_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 475.79 MiB | [Download](https://huggingface.co/datasets/CyberHarem/oosaki_amana_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1311 | 1.04 GiB | [Download](https://huggingface.co/datasets/CyberHarem/oosaki_amana_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 815.27 MiB | [Download](https://huggingface.co/datasets/CyberHarem/oosaki_amana_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1311 | 1.66 GiB | [Download](https://huggingface.co/datasets/CyberHarem/oosaki_amana_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/oosaki_amana_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, blush, cleavage, collarbone, looking_at_viewer, solo, bare_shoulders, necklace, long_sleeves, off-shoulder_sweater, sitting, closed_mouth, double_bun, dress, earrings, smile, swept_bangs |
| 1 | 14 |  |  |  |  |  | 1girl, looking_at_viewer, solo, blush, smile, collarbone, white_background, closed_mouth, simple_background, upper_body, bare_shoulders, brown_eyes, cleavage, choker, heart, sleeveless, white_dress |
| 2 | 12 |  |  |  |  |  | 1girl, looking_at_viewer, necktie, plaid_skirt, school_uniform, solo, pleated_skirt, blush, open_mouth, :d, long_sleeves, white_shirt, braid, simple_background, sweater, blazer, collared_shirt, outdoors, petals, red_hair, white_background |
| 3 | 5 |  |  |  |  |  | 1girl, collarbone, eyewear_on_head, heart-shaped_eyewear, navel, red_bikini, sunglasses, black_choker, floral_print, looking_at_viewer, simple_background, solo, swept_bangs, blush, bracelet, cleavage, earrings, necklace, one_eye_closed, open_mouth, white_background, :d, bare_shoulders, groin, thighs |
| 4 | 6 |  |  |  |  |  | 1girl, blush, gloves, looking_at_viewer, solo, white_coat, braid, open_mouth, smile, fur_hat, long_sleeves, snowing, white_headwear, winter_clothes, fur_trim, hat_bow, upper_body |
| 5 | 5 |  |  |  |  |  | 1girl, blue_sky, blush, day, looking_at_viewer, navel, outdoors, solo, armpits, arms_up, cloud, midriff, arms_behind_head, cowboy_shot, hairband, :d, bikini_under_clothes, blue_shorts, brown_eyes, collarbone, denim_shorts, frills, hair_bow, open_mouth, ribbon, short_shorts, swept_bangs, tied_shirt |
| 6 | 10 |  |  |  |  |  | 1girl, blush, looking_at_viewer, hair_ornament, obi, print_kimono, solo, floral_print, side_ponytail, sidelocks, hair_between_eyes, open_mouth, pink_kimono, wide_sleeves, :d, long_sleeves, yukata, blurry, swept_bangs, upper_body |
| 7 | 5 |  |  |  |  |  | 1girl, blush, collarbone, looking_at_viewer, race_queen, solo, thigh_boots, thighhighs, black_choker, cleavage, hair_ribbon, holding_umbrella, navel, red_hair, belt, black_skirt, high_ponytail, miniskirt, open_mouth, smile, standing, swept_bangs, wrist_cuffs, bare_shoulders, black_footwear, full_body, ground_vehicle, hoop_earrings, midriff, mismatched_footwear, mismatched_legwear, motor_vehicle, nail_polish, official_alternate_costume, outdoors, sidelocks, sleeveless, tube_top |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | blush | cleavage | collarbone | looking_at_viewer | solo | bare_shoulders | necklace | long_sleeves | off-shoulder_sweater | sitting | closed_mouth | double_bun | dress | earrings | smile | swept_bangs | white_background | simple_background | upper_body | brown_eyes | choker | heart | sleeveless | white_dress | necktie | plaid_skirt | school_uniform | pleated_skirt | open_mouth | :d | white_shirt | braid | sweater | blazer | collared_shirt | outdoors | petals | red_hair | eyewear_on_head | heart-shaped_eyewear | navel | red_bikini | sunglasses | black_choker | floral_print | bracelet | one_eye_closed | groin | thighs | gloves | white_coat | fur_hat | snowing | white_headwear | winter_clothes | fur_trim | hat_bow | blue_sky | day | armpits | arms_up | cloud | midriff | arms_behind_head | cowboy_shot | hairband | bikini_under_clothes | blue_shorts | denim_shorts | frills | hair_bow | ribbon | short_shorts | tied_shirt | hair_ornament | obi | print_kimono | side_ponytail | sidelocks | hair_between_eyes | pink_kimono | wide_sleeves | yukata | blurry | race_queen | thigh_boots | thighhighs | hair_ribbon | holding_umbrella | belt | black_skirt | high_ponytail | miniskirt | standing | wrist_cuffs | black_footwear | full_body | ground_vehicle | hoop_earrings | mismatched_footwear | mismatched_legwear | motor_vehicle | nail_polish | official_alternate_costume | tube_top |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:-----------|:-------------|:--------------------|:-------|:-----------------|:-----------|:---------------|:-----------------------|:----------|:---------------|:-------------|:--------|:-----------|:--------|:--------------|:-------------------|:--------------------|:-------------|:-------------|:---------|:--------|:-------------|:--------------|:----------|:--------------|:-----------------|:----------------|:-------------|:-----|:--------------|:--------|:----------|:---------|:-----------------|:-----------|:---------|:-----------|:------------------|:-----------------------|:--------|:-------------|:-------------|:---------------|:---------------|:-----------|:-----------------|:--------|:---------|:---------|:-------------|:----------|:----------|:-----------------|:-----------------|:-----------|:----------|:-----------|:------|:----------|:----------|:--------|:----------|:-------------------|:--------------|:-----------|:-----------------------|:--------------|:---------------|:---------|:-----------|:---------|:---------------|:-------------|:----------------|:------|:---------------|:----------------|:------------|:--------------------|:--------------|:---------------|:---------|:---------|:-------------|:--------------|:-------------|:--------------|:-------------------|:-------|:--------------|:----------------|:------------|:-----------|:--------------|:-----------------|:------------|:-----------------|:----------------|:----------------------|:---------------------|:----------------|:--------------|:-----------------------------|:-----------|
| 0 | 9 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 12 |  |  |  |  |  | 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 | 6 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 10 |  |  |  |  |  | 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 | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/oosaki_amana_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T04:11:39+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T05:35:48+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of oosaki\_amana/ๅคงๅด็ๅฅ (THE iDOLM@STER: SHINY COLORS)
============================================================
This is the dataset of oosaki\_amana/ๅคงๅด็ๅฅ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'long\_hair, bangs, brown\_hair, yellow\_eyes, breasts, 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"
] |
7ac9d32a8663dcaaad42c45bec2f58612f78c7e7
|
# Dataset of marie_antoinette/ใใชใผใปใขใณใใฏใใใ/็ไธฝยทๅฎๆ็ฆๅ
็น (Fate/Grand Order)
This is the dataset of marie_antoinette/ใใชใผใปใขใณใใฏใใใ/็ไธฝยทๅฎๆ็ฆๅ
็น (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `long_hair, blue_eyes, very_long_hair, twintails, bangs, hat, 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 | 741.35 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_antoinette_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 421.37 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_antoinette_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1218 | 895.45 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_antoinette_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 652.40 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_antoinette_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1218 | 1.23 GiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_antoinette_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/marie_antoinette_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 | 11 |  |  |  |  |  | 1girl, looking_at_viewer, open_mouth, red_gloves, solo, sleeveless, thighhighs, :d, black_skirt, red_headwear, blush, simple_background, thigh_boots, white_background, bare_shoulders, red_dress |
| 1 | 9 |  |  |  |  |  | 1girl, black_skirt, looking_at_viewer, pleated_skirt, red_gloves, red_shirt, solo, thigh_boots, thighhighs, miniskirt, red_headwear, standing, zettai_ryouiki, floating_hair, frilled_hat, open_mouth, :d, large_hat, white_footwear, sleeveless_shirt, blush, dress, simple_background, white_background |
| 2 | 6 |  |  |  |  |  | 1girl, dress, gloves, smile, solo, hair_flower, looking_at_viewer, open_mouth, thighhighs, white_hair |
| 3 | 5 |  |  |  |  |  | 1girl, :d, hair_flower, looking_at_viewer, open_mouth, short_dress, solo, white_gloves, simple_background, white_background, white_dress, white_headwear, thighhighs, white_footwear, bare_shoulders, blush, boots, rose, sleeveless_dress |
| 4 | 10 |  |  |  |  |  | 1girl, looking_at_viewer, solo, white_dress, smile, white_gloves, white_hair, large_hat, white_headwear, blush, short_dress, flower, bare_shoulders, open_mouth, medium_breasts, sleeveless_dress, thigh_boots, thighhighs, white_footwear |
| 5 | 7 |  |  |  |  |  | 1girl, looking_at_viewer, maid_headdress, official_alternate_costume, open_mouth, solo, :d, long_sleeves, puffy_sleeves, blush, maid_apron |
| 6 | 11 |  |  |  |  |  | 1girl, floral_print, looking_at_viewer, solo, hair_flower, long_sleeves, wide_sleeves, blush, obi, print_kimono, red_kimono, open_mouth, :d, red_flower, hair_between_eyes, holding_umbrella, oil-paper_umbrella |
| 7 | 10 |  |  |  |  |  | 1girl, blush, collarbone, solo, day, outdoors, white_dress, looking_at_viewer, blue_sky, hat_bow, open_mouth, sundress, bare_shoulders, cleavage, :d, hair_ornament, medium_breasts, sleeveless_dress, sun_hat, bracelet, cloud, ocean, plaid, white_flower |
| 8 | 22 |  |  |  |  |  | blue_bikini, looking_at_viewer, 1girl, solo, blush, sun_hat, bare_shoulders, cleavage, hat_flower, collarbone, medium_breasts, necklace, day, open_mouth, outdoors, navel, hat_bow, hibiscus, white_flower, :d, water, thighs, beachball, front-tie_bikini_top, holding_ball, ocean, red_flower, striped_bow |
| 9 | 9 |  |  |  |  |  | 1girl, black_dress, looking_at_viewer, solo, black_gloves, cleavage, necklace, official_alternate_costume, bare_shoulders, hair_flower, smile, medium_breasts, black_rose, blush, feather_hair_ornament, holding, strapless, white_hair |
| 10 | 9 |  |  |  |  |  | 1girl, hood_up, looking_at_viewer, official_alternate_costume, single_braid, solo, hooded_cloak, white_hair, basket, braided_ponytail, medium_breasts, open_mouth, red_cloak, red_dress, smile, blush, bow, grey_hair, candy, puffy_short_sleeves, red_skirt, ribbon, wine_bottle |
| 11 | 6 |  |  |  |  |  | 1girl, cleavage, dress, hood_up, looking_at_viewer, official_alternate_costume, red_cloak, single_braid, smile, solo, black_ribbon, grey_hair, hooded_cloak, medium_breasts, black_bow, hair_bow, black_thighhighs, neck_ribbon, red_hood, red_skirt, white_bow |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | open_mouth | red_gloves | solo | sleeveless | thighhighs | :d | black_skirt | red_headwear | blush | simple_background | thigh_boots | white_background | bare_shoulders | red_dress | pleated_skirt | red_shirt | miniskirt | standing | zettai_ryouiki | floating_hair | frilled_hat | large_hat | white_footwear | sleeveless_shirt | dress | gloves | smile | hair_flower | white_hair | short_dress | white_gloves | white_dress | white_headwear | boots | rose | sleeveless_dress | flower | medium_breasts | maid_headdress | official_alternate_costume | long_sleeves | puffy_sleeves | maid_apron | floral_print | wide_sleeves | obi | print_kimono | red_kimono | red_flower | hair_between_eyes | holding_umbrella | oil-paper_umbrella | collarbone | day | outdoors | blue_sky | hat_bow | sundress | cleavage | hair_ornament | sun_hat | bracelet | cloud | ocean | plaid | white_flower | blue_bikini | hat_flower | necklace | navel | hibiscus | water | thighs | beachball | front-tie_bikini_top | holding_ball | striped_bow | black_dress | black_gloves | black_rose | feather_hair_ornament | holding | strapless | hood_up | single_braid | hooded_cloak | basket | braided_ponytail | red_cloak | bow | grey_hair | candy | puffy_short_sleeves | red_skirt | ribbon | wine_bottle | black_ribbon | black_bow | hair_bow | black_thighhighs | neck_ribbon | red_hood | white_bow |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------------------|:-------------|:-------------|:-------|:-------------|:-------------|:-----|:--------------|:---------------|:--------|:--------------------|:--------------|:-------------------|:-----------------|:------------|:----------------|:------------|:------------|:-----------|:-----------------|:----------------|:--------------|:------------|:-----------------|:-------------------|:--------|:---------|:--------|:--------------|:-------------|:--------------|:---------------|:--------------|:-----------------|:--------|:-------|:-------------------|:---------|:-----------------|:-----------------|:-----------------------------|:---------------|:----------------|:-------------|:---------------|:---------------|:------|:---------------|:-------------|:-------------|:--------------------|:-------------------|:---------------------|:-------------|:------|:-----------|:-----------|:----------|:-----------|:-----------|:----------------|:----------|:-----------|:--------|:--------|:--------|:---------------|:--------------|:-------------|:-----------|:--------|:-----------|:--------|:---------|:------------|:-----------------------|:---------------|:--------------|:--------------|:---------------|:-------------|:------------------------|:----------|:------------|:----------|:---------------|:---------------|:---------|:-------------------|:------------|:------|:------------|:--------|:----------------------|:------------|:---------|:--------------|:---------------|:------------|:-----------|:-------------------|:--------------|:-----------|:------------|
| 0 | 11 |  |  |  |  |  | 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 | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 6 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 10 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 11 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 22 |  |  |  |  |  | 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 | 9 |  |  |  |  |  | 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 | 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 | | | X | X | X | X | X | X | X |
|
CyberHarem/marie_antoinette_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T04:12:47+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T00:45:31+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of marie\_antoinette/ใใชใผใปใขใณใใฏใใใ/็ไธฝยทๅฎๆ็ฆๅ
็น (Fate/Grand Order)
====================================================================
This is the dataset of marie\_antoinette/ใใชใผใปใขใณใใฏใใใ/็ไธฝยทๅฎๆ็ฆๅ
็น (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'long\_hair, blue\_eyes, very\_long\_hair, twintails, bangs, hat, 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"
] |
cf868844d1b156ffc8e4fe647b063c0b7fd10c2e
|
# Dataset Card for "llm-treasure-is"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
AlexZhukov/treasure-island-tokenized
|
[
"region:us"
] |
2023-09-10T04:18:33+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes": 323900.0, "num_examples": 79}, {"name": "test", "num_bytes": 36900.0, "num_examples": 9}], "download_size": 179964, "dataset_size": 360800.0}}
|
2023-09-10T04:18:38+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "llm-treasure-is"
More Information needed
|
[
"# Dataset Card for \"llm-treasure-is\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"llm-treasure-is\"\n\nMore Information needed"
] |
[
6,
18
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"llm-treasure-is\"\n\nMore Information needed"
] |
2084ee777faf78e81de5f16b9b79b5b49fcf29d2
|
# Dataset of mei/ใใฏใคใ2 (Pokรฉmon)
This is the dataset of mei/ใใฏใคใ2 (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are `hair_bun, long_hair, brown_hair, double_bun, twintails, blue_eyes, visor_cap, breasts, bangs, pink_bow, 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 | 582.68 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mei_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 316.31 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mei_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1272 | 720.80 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mei_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 507.25 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mei_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1272 | 1.02 GiB | [Download](https://huggingface.co/datasets/CyberHarem/mei_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/mei_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 | 34 |  |  |  |  |  | 1girl, looking_at_viewer, solo, yellow_shorts, raglan_sleeves, black_pantyhose, holding_poke_ball, poke_ball_(basic), blush, legwear_under_shorts, shirt, short_shorts, simple_background, white_background, open_mouth, :d, large_breasts, collarbone, very_long_hair |
| 1 | 5 |  |  |  |  |  | 1girl, black_pantyhose, holding_poke_ball, legwear_under_shorts, poke_ball_(basic), raglan_sleeves, smile, yellow_shorts, looking_at_viewer, open_mouth, sneakers, solo, blush |
| 2 | 7 |  |  |  |  |  | 1girl, black_pantyhose, legwear_under_shorts, looking_at_viewer, raglan_sleeves, smile, solo, yellow_shorts, closed_mouth, white_pupils, blush, simple_background, shirt, white_background |
| 3 | 15 |  |  |  |  |  | 1girl, :d, black_pantyhose, looking_at_viewer, open_mouth, raglan_sleeves, shirt, short_shorts, solo, blush, legwear_under_shorts, yellow_shorts, collarbone, simple_background, hair_between_eyes, very_long_hair, white_background |
| 4 | 16 |  |  |  |  |  | 1girl, blush, raglan_sleeves, stroking_own_chin, black_pantyhose, legwear_under_shorts, looking_at_viewer, short_shorts, yellow_shorts, shirt, solo, open_mouth, thinking, simple_background, large_breasts, white_background, sparkle, watch, hair_between_eyes |
| 5 | 5 |  |  |  |  |  | 1girl, black_pantyhose, blue_sleeves, collarbone, full_body, hair_between_eyes, legwear_under_shorts, looking_at_viewer, poke_ball_print, raglan_sleeves, short_shorts, sneakers, very_long_hair, white_shirt, yellow_shorts, blue_footwear, holding_poke_ball, poke_ball_(basic), smile, solo, closed_mouth, floating_hair, long_sleeves, medium_breasts, blush, shiny, simple_background, skirt, standing, white_background |
| 6 | 6 |  |  |  |  |  | 1girl, black_pantyhose, blush, raglan_sleeves, solo, yellow_shorts, large_breasts, legwear_under_shorts, open_mouth, doughnut_hair_bun, smile |
| 7 | 7 |  |  |  |  |  | 1girl, blush, raglan_sleeves, simple_background, solo, upper_body, shirt, white_background, looking_at_viewer, large_breasts, open_mouth, collarbone, one_eye_closed |
| 8 | 5 |  |  |  |  |  | 1girl, blush, looking_at_viewer, raglan_sleeves, solo, upper_body, collarbone, open_mouth, large_breasts, shirt, simple_background, smile |
| 9 | 12 |  |  |  |  |  | 1girl, christmas, santa_hat, red_capelet, solo, blush, looking_at_viewer, official_alternate_costume, santa_costume, black_gloves, holding, black_belt, fur-trimmed_capelet, open_mouth, red_dress, red_headwear, sidelocks, :d, tongue, black_thighhighs, red_footwear |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | solo | yellow_shorts | raglan_sleeves | black_pantyhose | holding_poke_ball | poke_ball_(basic) | blush | legwear_under_shorts | shirt | short_shorts | simple_background | white_background | open_mouth | :d | large_breasts | collarbone | very_long_hair | smile | sneakers | closed_mouth | white_pupils | hair_between_eyes | stroking_own_chin | thinking | sparkle | watch | blue_sleeves | full_body | poke_ball_print | white_shirt | blue_footwear | floating_hair | long_sleeves | medium_breasts | shiny | skirt | standing | doughnut_hair_bun | upper_body | one_eye_closed | christmas | santa_hat | red_capelet | official_alternate_costume | santa_costume | black_gloves | holding | black_belt | fur-trimmed_capelet | red_dress | red_headwear | sidelocks | tongue | black_thighhighs | red_footwear |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------------|:-------|:----------------|:-----------------|:------------------|:--------------------|:--------------------|:--------|:-----------------------|:--------|:---------------|:--------------------|:-------------------|:-------------|:-----|:----------------|:-------------|:-----------------|:--------|:-----------|:---------------|:---------------|:--------------------|:--------------------|:-----------|:----------|:--------|:---------------|:------------|:------------------|:--------------|:----------------|:----------------|:---------------|:-----------------|:--------|:--------|:-----------|:--------------------|:-------------|:-----------------|:------------|:------------|:--------------|:-----------------------------|:----------------|:---------------|:----------|:-------------|:----------------------|:------------|:---------------|:------------|:---------|:-------------------|:---------------|
| 0 | 34 |  |  |  |  |  | X | X | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 7 |  |  |  |  |  | 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 | X | X | X | X | X | | X | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 16 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | |
| 6 | 6 |  |  |  |  |  | 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 | 5 |  |  |  |  |  | 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 | X |
|
CyberHarem/mei_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T04:43:07+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T16:11:54+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of mei/ใใฏใคใ2 (Pokรฉmon)
==============================
This is the dataset of mei/ใใฏใคใ2 (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are 'hair\_bun, long\_hair, brown\_hair, double\_bun, twintails, blue\_eyes, visor\_cap, breasts, bangs, pink\_bow, 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"
] |
889a4d9072cde4d55d1af7a44ecba67b58d77b85
|
# Dataset Card for Modern Haiku Dataset
### Dataset Summary
Modern Haiku Dataset is a haiku (ไฟณๅฅ) dataset that collected from [modern haiku association](https://gendaihaiku.gr.jp/)'s databse ([link](https://haiku-data.jp/index.php)).
## Dataset Structure
### Data Instances
#### all
```py
from datasets import load_dataset, DatasetDict
dataset = load_dataset(
"p1atdev/modern_haiku",
)
if not isinstance(dataset, DatasetDict):
raise TypeError("dataset is not DatasetDict")
print(dataset)
# DatasetDict({
# train: Dataset({
# features: ['id', 'haiku', 'author', 'foreword', 'source', 'comment', 'reviewer', 'note', 'season', 'kigo'],
# num_rows: 37158
# })
# })
```
An example of the dataset looks as follows:
```json
{
"id":1,
"haiku":"ๆ้งใฎไธญใซไนๆฎตใฎใจใใๅ",
"author":"ๆญฃๅฒกๅญ่ฆ",
"foreword":null,
"source":"ๅฏๅฑฑ่ฝๆจ",
"comment":null,
"reviewer":null,
"note":null,
"season":"autumn",
"kigo":{
"id":1418,
"word":"้ง",
"kana":"ใใ",
"old_kana":null,
"season":"autumn",
"subtitle":[
"ๆ้ง",
"ๅค้ง",
...
]
}
}
```
#### spring, summer, autumn, winter
These subsets are narrowed down to those that contain the seasonal words for each season.
The "none" subset contains haiku that do not contain seasonal words.
An example of "winter" subset looks as follows:
```json
{
"id":528,
"haiku":"็ฃฏ้ทฒใฏใใชใใๅทใซใจใพใใใ",
"author":"ๅ็ณ้ผ",
"foreword":null,
"source":"่ฑๅฝฑ",
"comment":null,
"reviewer":null,
"note":null,
"kigo":{
"id":2265,
"word":"้ทฒ",
"kana":"ใใ",
"old_kana":null,
"season":"winter",
"subtitle":[]
}
}
```
#### kigo
This subset is a dataset of seasonal words that are used in at least one haiku.
An example of the subset looks as follows:
```json
{
"id":1628,
"word":"ๆณๅธซ่ฌ",
"kana":"ใปใใใใฟ",
"old_kana":"ใปใตใใใฟ",
"season":"autumn",
"subtitle":[
"ใคใใคใๆณๅธซ",
"ใคใใคใใ",
"ๅฏ่ฌ"
]
}
```
### Data Fields
- `id`: ID number of the haiku.
- `haiku`: Text of the haiku.
- `author`: Name of the author of the haiku.
- `foreword`: Unknown. Nullable.
- `source`: Name of the source document of the haiku. Nullable.
- `comment`: Comment about the haiku by `reviewer`. Nullable.
- `reviewer`: Name of the reviewer who made the comment. Nullable.
- `note`: Note about the haiku. Nullable.
- `season`: The season of the haiku. If the haiku has no seasonal word, this will be `none'.
- `kigo`: The seasonal word, when the haiku has.
- `id`: ID number of the word.
- `word`: The seasonal word.
- `kana`: Pronunciation of the word.
- `old_kana`: Pronunciation of the word in old hiragana version. Nullable.
- `season`: The season of the word.
- `subtitle`: Other name of the word.
## Dataset Creation
### Source Data
#### Initial Data Collection and Normalization
By [Modern Haiku Association](https://gendaihaiku.gr.jp/).
#### 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
[ไฟณๅฅใใผใฟใใผใน่งฃ่ชฌ](https://haiku-data.jp/data.php)
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed]
|
p1atdev/modern_haiku
|
[
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:ja",
"license:mit",
"haiku",
"region:us"
] |
2023-09-10T04:49:41+00:00
|
{"language": ["ja"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "tags": ["haiku"]}
|
2023-09-10T11:46:58+00:00
|
[] |
[
"ja"
] |
TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-Japanese #license-mit #haiku #region-us
|
# Dataset Card for Modern Haiku Dataset
### Dataset Summary
Modern Haiku Dataset is a haiku (ไฟณๅฅ) dataset that collected from modern haiku association's databse (link).
## Dataset Structure
### Data Instances
#### all
An example of the dataset looks as follows:
#### spring, summer, autumn, winter
These subsets are narrowed down to those that contain the seasonal words for each season.
The "none" subset contains haiku that do not contain seasonal words.
An example of "winter" subset looks as follows:
#### kigo
This subset is a dataset of seasonal words that are used in at least one haiku.
An example of the subset looks as follows:
### Data Fields
- 'id': ID number of the haiku.
- 'haiku': Text of the haiku.
- 'author': Name of the author of the haiku.
- 'foreword': Unknown. Nullable.
- 'source': Name of the source document of the haiku. Nullable.
- 'comment': Comment about the haiku by 'reviewer'. Nullable.
- 'reviewer': Name of the reviewer who made the comment. Nullable.
- 'note': Note about the haiku. Nullable.
- 'season': The season of the haiku. If the haiku has no seasonal word, this will be 'none'.
- 'kigo': The seasonal word, when the haiku has.
- 'id': ID number of the word.
- 'word': The seasonal word.
- 'kana': Pronunciation of the word.
- 'old_kana': Pronunciation of the word in old hiragana version. Nullable.
- 'season': The season of the word.
- 'subtitle': Other name of the word.
## Dataset Creation
### Source Data
#### Initial Data Collection and Normalization
By Modern Haiku Association.
#### 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
ไฟณๅฅใใผใฟใใผใน่งฃ่ชฌ
### Dataset Curators
### Licensing Information
### Contributions
|
[
"# Dataset Card for Modern Haiku Dataset",
"### Dataset Summary\n\nModern Haiku Dataset is a haiku (ไฟณๅฅ) dataset that collected from modern haiku association's databse (link).",
"## Dataset Structure",
"### Data Instances",
"#### all\n\n\n\nAn example of the dataset looks as follows:",
"#### spring, summer, autumn, winter\n\nThese subsets are narrowed down to those that contain the seasonal words for each season.\n\nThe \"none\" subset contains haiku that do not contain seasonal words.\n\nAn example of \"winter\" subset looks as follows:",
"#### kigo\n\nThis subset is a dataset of seasonal words that are used in at least one haiku.\n\nAn example of the subset looks as follows:",
"### Data Fields\n\n- 'id': ID number of the haiku.\n- 'haiku': Text of the haiku.\n- 'author': Name of the author of the haiku.\n- 'foreword': Unknown. Nullable.\n- 'source': Name of the source document of the haiku. Nullable.\n- 'comment': Comment about the haiku by 'reviewer'. Nullable.\n- 'reviewer': Name of the reviewer who made the comment. Nullable.\n- 'note': Note about the haiku. Nullable.\n- 'season': The season of the haiku. If the haiku has no seasonal word, this will be 'none'.\n- 'kigo': The seasonal word, when the haiku has.\n - 'id': ID number of the word.\n - 'word': The seasonal word.\n - 'kana': Pronunciation of the word.\n - 'old_kana': Pronunciation of the word in old hiragana version. Nullable.\n - 'season': The season of the word.\n - 'subtitle': Other name of the word.",
"## Dataset Creation",
"### Source Data",
"#### Initial Data Collection and Normalization\n\nBy Modern Haiku Association.",
"#### 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\n\nไฟณๅฅใใผใฟใใผใน่งฃ่ชฌ",
"### Dataset Curators",
"### Licensing Information",
"### Contributions"
] |
[
"TAGS\n#task_categories-text-generation #size_categories-10K<n<100K #language-Japanese #license-mit #haiku #region-us \n",
"# Dataset Card for Modern Haiku Dataset",
"### Dataset Summary\n\nModern Haiku Dataset is a haiku (ไฟณๅฅ) dataset that collected from modern haiku association's databse (link).",
"## Dataset Structure",
"### Data Instances",
"#### all\n\n\n\nAn example of the dataset looks as follows:",
"#### spring, summer, autumn, winter\n\nThese subsets are narrowed down to those that contain the seasonal words for each season.\n\nThe \"none\" subset contains haiku that do not contain seasonal words.\n\nAn example of \"winter\" subset looks as follows:",
"#### kigo\n\nThis subset is a dataset of seasonal words that are used in at least one haiku.\n\nAn example of the subset looks as follows:",
"### Data Fields\n\n- 'id': ID number of the haiku.\n- 'haiku': Text of the haiku.\n- 'author': Name of the author of the haiku.\n- 'foreword': Unknown. Nullable.\n- 'source': Name of the source document of the haiku. Nullable.\n- 'comment': Comment about the haiku by 'reviewer'. Nullable.\n- 'reviewer': Name of the reviewer who made the comment. Nullable.\n- 'note': Note about the haiku. Nullable.\n- 'season': The season of the haiku. If the haiku has no seasonal word, this will be 'none'.\n- 'kigo': The seasonal word, when the haiku has.\n - 'id': ID number of the word.\n - 'word': The seasonal word.\n - 'kana': Pronunciation of the word.\n - 'old_kana': Pronunciation of the word in old hiragana version. Nullable.\n - 'season': The season of the word.\n - 'subtitle': Other name of the word.",
"## Dataset Creation",
"### Source Data",
"#### Initial Data Collection and Normalization\n\nBy Modern Haiku Association.",
"#### 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\n\nไฟณๅฅใใผใฟใใผใน่งฃ่ชฌ",
"### Dataset Curators",
"### Licensing Information",
"### Contributions"
] |
[
43,
10,
37,
6,
6,
14,
65,
36,
261,
5,
4,
16,
10,
5,
5,
9,
8,
8,
7,
8,
7,
11,
6,
6,
5
] |
[
"passage: TAGS\n#task_categories-text-generation #size_categories-10K<n<100K #language-Japanese #license-mit #haiku #region-us \n# Dataset Card for Modern Haiku Dataset### Dataset Summary\n\nModern Haiku Dataset is a haiku (ไฟณๅฅ) dataset that collected from modern haiku association's databse (link).## Dataset Structure### Data Instances#### all\n\n\n\nAn example of the dataset looks as follows:#### spring, summer, autumn, winter\n\nThese subsets are narrowed down to those that contain the seasonal words for each season.\n\nThe \"none\" subset contains haiku that do not contain seasonal words.\n\nAn example of \"winter\" subset looks as follows:#### kigo\n\nThis subset is a dataset of seasonal words that are used in at least one haiku.\n\nAn example of the subset looks as follows:### Data Fields\n\n- 'id': ID number of the haiku.\n- 'haiku': Text of the haiku.\n- 'author': Name of the author of the haiku.\n- 'foreword': Unknown. Nullable.\n- 'source': Name of the source document of the haiku. Nullable.\n- 'comment': Comment about the haiku by 'reviewer'. Nullable.\n- 'reviewer': Name of the reviewer who made the comment. Nullable.\n- 'note': Note about the haiku. Nullable.\n- 'season': The season of the haiku. If the haiku has no seasonal word, this will be 'none'.\n- 'kigo': The seasonal word, when the haiku has.\n - 'id': ID number of the word.\n - 'word': The seasonal word.\n - 'kana': Pronunciation of the word.\n - 'old_kana': Pronunciation of the word in old hiragana version. Nullable.\n - 'season': The season of the word.\n - 'subtitle': Other name of the word.## Dataset Creation### Source Data#### Initial Data Collection and Normalization\n\nBy Modern Haiku Association."
] |
9b4a87227a8cea485743152dc494c25554cf2b72
|
## ใใฎใใผใฟใใผในใฏ็ซใฎ้ฃผใๆนใซ้ขใใQAใใพใจใใใใฎใงใใ
ใคใณใฟใผใใใไธใฎ่ฑ่ชใๆฅๆฌ่ชใฎๆ
ๅ ฑใใใจใซใๆ
ๅ ฑใๅ็ทจๆใใฆใคใใฃใใใฎใงใใ
LLMใฎใใกใคใณใใฅใผใใณใฐ็จใซไฝฟใฃใฆใฟใฆใใ ใใใ
ใณใณใใญในใใฏ่ฑ่ชใงใใ
ๅ่ใจใชใใใญใฐใฏ[ใใกใ](https://jpnqeur23lmqsw.blogspot.com/2023/09/qeur23llmdss9llm.html)
|
YxBxRyXJx/cat_train
|
[
"license:apache-2.0",
"region:us"
] |
2023-09-10T04:53:42+00:00
|
{"license": "apache-2.0"}
|
2023-09-25T01:03:35+00:00
|
[] |
[] |
TAGS
#license-apache-2.0 #region-us
|
## ใใฎใใผใฟใใผในใฏ็ซใฎ้ฃผใๆนใซ้ขใใQAใใพใจใใใใฎใงใใ
ใคใณใฟใผใใใไธใฎ่ฑ่ชใๆฅๆฌ่ชใฎๆ
ๅ ฑใใใจใซใๆ
ๅ ฑใๅ็ทจๆใใฆใคใใฃใใใฎใงใใ
LLMใฎใใกใคใณใใฅใผใใณใฐ็จใซไฝฟใฃใฆใฟใฆใใ ใใใ
ใณใณใใญในใใฏ่ฑ่ชใงใใ
ๅ่ใจใชใใใญใฐใฏใใกใ
|
[
"## ใใฎใใผใฟใใผในใฏ็ซใฎ้ฃผใๆนใซ้ขใใQAใใพใจใใใใฎใงใใ\nใคใณใฟใผใใใไธใฎ่ฑ่ชใๆฅๆฌ่ชใฎๆ
ๅ ฑใใใจใซใๆ
ๅ ฑใๅ็ทจๆใใฆใคใใฃใใใฎใงใใ\n\nLLMใฎใใกใคใณใใฅใผใใณใฐ็จใซไฝฟใฃใฆใฟใฆใใ ใใใ\nใณใณใใญในใใฏ่ฑ่ชใงใใ\n\nๅ่ใจใชใใใญใฐใฏใใกใ"
] |
[
"TAGS\n#license-apache-2.0 #region-us \n",
"## ใใฎใใผใฟใใผในใฏ็ซใฎ้ฃผใๆนใซ้ขใใQAใใพใจใใใใฎใงใใ\nใคใณใฟใผใใใไธใฎ่ฑ่ชใๆฅๆฌ่ชใฎๆ
ๅ ฑใใใจใซใๆ
ๅ ฑใๅ็ทจๆใใฆใคใใฃใใใฎใงใใ\n\nLLMใฎใใกใคใณใใฅใผใใณใฐ็จใซไฝฟใฃใฆใฟใฆใใ ใใใ\nใณใณใใญในใใฏ่ฑ่ชใงใใ\n\nๅ่ใจใชใใใญใฐใฏใใกใ"
] |
[
14,
59
] |
[
"passage: TAGS\n#license-apache-2.0 #region-us \n## ใใฎใใผใฟใใผในใฏ็ซใฎ้ฃผใๆนใซ้ขใใQAใใพใจใใใใฎใงใใ\nใคใณใฟใผใใใไธใฎ่ฑ่ชใๆฅๆฌ่ชใฎๆ
ๅ ฑใใใจใซใๆ
ๅ ฑใๅ็ทจๆใใฆใคใใฃใใใฎใงใใ\n\nLLMใฎใใกใคใณใใฅใผใใณใฐ็จใซไฝฟใฃใฆใฟใฆใใ ใใใ\nใณใณใใญในใใฏ่ฑ่ชใงใใ\n\nๅ่ใจใชใใใญใฐใฏใใกใ"
] |
a5163a3e0598227818a711f4a1676567e1399d19
|
This is the LimitlessCodeTraining dataset converted to guanaco format. Enjoy
Original model card:
_________________
----- BREAK THROUGH YOUR LIMITS -----
_________________
LimitlessCodeTraining is the direct sequal to Megacodetraining that is now called Legacy_MegaCodeTraining200k.
This dataset is just over 646k lines of pure refined coding data.
It is the pinacle of open source code training. It is the combination of the filtered Megacode training dataset filtered by shahules786 (shoutout to him) and the bigcode commitpackft dataset I converted to alpaca format.
The dataset that were used to create this dataset are linked bellow:
- https://huggingface.co/datasets/rombodawg/Rombodawgs_commitpackft_Evolinstruct_Converted
- https://huggingface.co/datasets/shahules786/megacode-best
|
rombodawg/LimitlessCodeTraining_Guanaco_Format
|
[
"license:mit",
"region:us"
] |
2023-09-10T05:05:33+00:00
|
{"license": "mit"}
|
2023-09-29T03:23:00+00:00
|
[] |
[] |
TAGS
#license-mit #region-us
|
This is the LimitlessCodeTraining dataset converted to guanaco format. Enjoy
Original model card:
_________________
----- BREAK THROUGH YOUR LIMITS -----
_________________
!image/png
LimitlessCodeTraining is the direct sequal to Megacodetraining that is now called Legacy_MegaCodeTraining200k.
This dataset is just over 646k lines of pure refined coding data.
It is the pinacle of open source code training. It is the combination of the filtered Megacode training dataset filtered by shahules786 (shoutout to him) and the bigcode commitpackft dataset I converted to alpaca format.
The dataset that were used to create this dataset are linked bellow:
- URL
- URL
|
[] |
[
"TAGS\n#license-mit #region-us \n"
] |
[
11
] |
[
"passage: TAGS\n#license-mit #region-us \n"
] |
4f4a8812288a4a7712579ef9c0551c5388351870
|
# Dataset of Hoshino Ai
This is the dataset of Hoshino Ai, containing 200 images and their tags.
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)).
| Name | Images | Download | Description |
|:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 435 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x512 | 200 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x640 | 200 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 435 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 435 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-1200 | 435 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |
|
CyberHarem/hoshino_ai_oshinoko
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T05:13:00+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2023-09-17T16:30:04+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of Hoshino Ai
=====================
This is the dataset of Hoshino Ai, containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
|
[] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
[
44
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
9f14ce31c262780427502b27e52a503e539b3b08
|
# Dataset Card for "hydra_inst_labeled"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
vikp/hydra_inst_labeled
|
[
"region:us"
] |
2023-09-10T05:25:32+00:00
|
{"dataset_info": {"features": [{"name": "unique_conversation_id", "dtype": "string"}, {"name": "rendered", "dtype": "string"}, {"name": "dataset_id", "dtype": "string"}, {"name": "inst_prob", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 4796996141, "num_examples": 2527636}], "download_size": 0, "dataset_size": 4796996141}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-15T13:04:56+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "hydra_inst_labeled"
More Information needed
|
[
"# Dataset Card for \"hydra_inst_labeled\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"hydra_inst_labeled\"\n\nMore Information needed"
] |
[
6,
18
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"hydra_inst_labeled\"\n\nMore Information needed"
] |
7d6ba7e4df7ea8381ce69ba3ae4bf3434dd1330e
|
# Dataset of Kurokawa Akane
This is the dataset of Kurokawa Akane, containing 200 images and their tags.
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)).
| Name | Images | Download | Description |
|:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 408 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x512 | 200 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x640 | 200 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 408 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 408 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-1200 | 408 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |
|
CyberHarem/kurokawa_akane_oshinoko
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T05:31:19+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2023-09-17T16:30:06+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of Kurokawa Akane
=========================
This is the dataset of Kurokawa Akane, containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
|
[] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
[
44
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
aff4053043fa6463b0637c7576eb88c7f4bd8edb
|
# Dataset of martha/ใใซใฟ/็ๅฐ่พพ (Fate/Grand Order)
This is the dataset of martha/ใใซใฟ/็ๅฐ่พพ (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `long_hair, purple_hair, breasts, blue_eyes, bangs, large_breasts, earrings, 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 | 500 | 694.59 MiB | [Download](https://huggingface.co/datasets/CyberHarem/martha_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 391.26 MiB | [Download](https://huggingface.co/datasets/CyberHarem/martha_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1230 | 809.78 MiB | [Download](https://huggingface.co/datasets/CyberHarem/martha_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 614.49 MiB | [Download](https://huggingface.co/datasets/CyberHarem/martha_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1230 | 1.11 GiB | [Download](https://huggingface.co/datasets/CyberHarem/martha_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/martha_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 | 22 |  |  |  |  |  | 1girl, cleavage, solo, white_bikini, collarbone, elbow_gloves, cross_choker, gauntlets, jewelry, red_gloves, bare_shoulders, navel, thigh_strap, looking_at_viewer, thighs, frilled_bikini, smile, open_mouth |
| 1 | 14 |  |  |  |  |  | 1girl, solo, sun_hat, black_bikini, cleavage, bare_shoulders, black_headwear, collarbone, jewelry, looking_at_viewer, navel, sarong, cross_choker, smile, very_long_hair, open_mouth |
| 2 | 25 |  |  |  |  |  | 1girl, open_jacket, red_jacket, black_bikini, collarbone, solo, cross_choker, long_sleeves, cleavage, jewelry, looking_at_viewer, smile, navel, frilled_bikini, thighs |
| 3 | 6 |  |  |  |  |  | 1girl, cleavage, hair_ribbon, jewelry, solo, center_opening, looking_at_viewer, white_capelet, closed_mouth, navel, smile |
| 4 | 7 |  |  |  |  |  | 1girl, cleavage, gauntlets, hair_ribbon, looking_at_viewer, navel, solo, staff, center_opening, cross, jewelry, red_thighhighs, smile, leotard, thighs, very_long_hair, white_capelet, white_ribbon |
| 5 | 19 |  |  |  |  |  | 1girl, blush, hetero, mosaic_censoring, sweat, 1boy, nipples, sex, vaginal, jewelry, penis, straight_hair, thighs, open_mouth, collarbone, navel, spread_legs, looking_at_viewer, hair_ribbon, thighhighs, white_ribbon, cum_in_pussy, lying, ass, completely_nude, girl_on_top, straddling |
| 6 | 8 |  |  |  |  |  | 1girl, hair_ribbon, jewelry, solo, looking_at_viewer, china_dress, double_bun, smile, blush, twintails, very_long_hair, white_gloves, white_ribbon, alternate_costume, alternate_hairstyle, open_mouth, single_hair_bun |
| 7 | 9 |  |  |  |  |  | 1girl, blush, brooch, brown_shirt, long_sleeves, looking_at_viewer, mittens, red_headwear, smile, white_apron, red_skirt, santa_hat, solo, belt, open_mouth, christmas, fur_trim, off_shoulder, waist_apron, holding_ladle, pouch |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | cleavage | solo | white_bikini | collarbone | elbow_gloves | cross_choker | gauntlets | jewelry | red_gloves | bare_shoulders | navel | thigh_strap | looking_at_viewer | thighs | frilled_bikini | smile | open_mouth | sun_hat | black_bikini | black_headwear | sarong | very_long_hair | open_jacket | red_jacket | long_sleeves | hair_ribbon | center_opening | white_capelet | closed_mouth | staff | cross | red_thighhighs | leotard | white_ribbon | blush | hetero | mosaic_censoring | sweat | 1boy | nipples | sex | vaginal | penis | straight_hair | spread_legs | thighhighs | cum_in_pussy | lying | ass | completely_nude | girl_on_top | straddling | china_dress | double_bun | twintails | white_gloves | alternate_costume | alternate_hairstyle | single_hair_bun | brooch | brown_shirt | mittens | red_headwear | white_apron | red_skirt | santa_hat | belt | christmas | fur_trim | off_shoulder | waist_apron | holding_ladle | pouch |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------|:-------|:---------------|:-------------|:---------------|:---------------|:------------|:----------|:-------------|:-----------------|:--------|:--------------|:--------------------|:---------|:-----------------|:--------|:-------------|:----------|:---------------|:-----------------|:---------|:-----------------|:--------------|:-------------|:---------------|:--------------|:-----------------|:----------------|:---------------|:--------|:--------|:-----------------|:----------|:---------------|:--------|:---------|:-------------------|:--------|:-------|:----------|:------|:----------|:--------|:----------------|:--------------|:-------------|:---------------|:--------|:------|:------------------|:--------------|:-------------|:--------------|:-------------|:------------|:---------------|:--------------------|:----------------------|:------------------|:---------|:--------------|:----------|:---------------|:--------------|:------------|:------------|:-------|:------------|:-----------|:---------------|:--------------|:----------------|:--------|
| 0 | 22 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 25 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 7 |  |  |  |  |  | X | X | X | | | | | X | X | | | X | | X | X | | X | | | | | | X | | | | X | X | X | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 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 | | | | | | | | | | | | | | | | | | | | | |
| 6 | 8 |  |  |  |  |  | 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 | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/martha_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T05:31:41+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T06:54:42+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of martha/ใใซใฟ/็ๅฐ่พพ (Fate/Grand Order)
============================================
This is the dataset of martha/ใใซใฟ/็ๅฐ่พพ (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'long\_hair, purple\_hair, breasts, blue\_eyes, bangs, large\_breasts, earrings, 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"
] |
a560d45275b442ef62cdbb2c86cb94c750c90713
|
# Dataset of tanaka_mamimi/็ฐไธญๆฉ็พใ
/ํ๋์นด๋ง๋ฏธ๋ฏธ (THE iDOLM@STER: SHINY COLORS)
This is the dataset of tanaka_mamimi/็ฐไธญๆฉ็พใ
/ํ๋์นด๋ง๋ฏธ๋ฏธ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `purple_hair, bangs, purple_eyes, diagonal_bangs, twintails, breasts, earrings, short_twintails`, 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 | 801.89 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tanaka_mamimi_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 415.01 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tanaka_mamimi_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1203 | 898.05 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tanaka_mamimi_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 686.35 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tanaka_mamimi_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1203 | 1.36 GiB | [Download](https://huggingface.co/datasets/CyberHarem/tanaka_mamimi_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/tanaka_mamimi_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, long_hair, neck_ribbon, school_uniform, solo, blazer, red_ribbon, white_shirt, blush, long_sleeves, looking_at_viewer, black_jacket, collared_shirt, pleated_skirt, open_jacket, smile, black_skirt, book, dress_shirt, hair_bow, parted_lips |
| 1 | 8 |  |  |  |  |  | 1girl, garter_straps, looking_at_viewer, plaid_skirt, pleated_skirt, school_uniform, single_thighhigh, solo, thigh_strap, white_shirt, green_jacket, blush, nail_polish, off_shoulder, simple_background, white_background, jewelry, long_sleeves, plaid_bowtie, purple_nails, black_choker, open_jacket, open_mouth, sleeves_past_wrists, spiked_choker |
| 2 | 6 |  |  |  |  |  | 1girl, collarbone, ear_piercing, solo, bare_shoulders, black_choker, cleavage, looking_at_viewer, nail_polish, off_shoulder, black_nails, blush, long_sleeves, makeup, necklace, blunt_bangs, green_jacket, open_jacket, purple_lips, simple_background, upper_body |
| 3 | 5 |  |  |  |  |  | black_gloves, cleavage, elbow_gloves, jewelry, long_hair, looking_at_viewer, 1girl, chain, medium_breasts, midriff, navel, skirt, solo, choker, thighhighs, demon_horns, facial_mark, feathers, sitting, smile |
| 4 | 28 |  |  |  |  |  | 1boy, 1girl, hetero, penis, solo_focus, blush, jewelry, mosaic_censoring, erection, tongue_out, cum, fellatio, looking_at_viewer, nail_polish, choker, piercing, male_pubic_hair, pov, purple_nails, sweat |
| 5 | 6 |  |  |  |  |  | 1girl, hat, long_hair, looking_at_viewer, choker, grin, midriff, navel, solo, black_headwear, blush, crop_top, bare_shoulders, ear_piercing, nail_polish, off_shoulder, purple_jacket, ring, skirt |
| 6 | 5 |  |  |  |  |  | 1girl, hairclip, long_sleeves, looking_at_viewer, smile, solo, closed_mouth, floral_print, jewelry, medium_breasts, nail_polish, black_skirt, blunt_bangs, flower, green_shirt, shawl, sitting, sweater, black_belt, blush, holding, purple_pantyhose, simple_background, turtleneck, white_background |
| 7 | 16 |  |  |  |  |  | 1girl, solo, looking_at_viewer, jewelry, upper_body, kimono, black_gloves, dress, hair_bow, bare_shoulders, fur_trim, smile |
| 8 | 8 |  |  |  |  |  | black_gloves, choker, 1girl, bare_shoulders, dress, goggles_on_head, looking_at_viewer, solo, bow, detached_sleeves, rose, corset, gears, open_mouth, shorts, asymmetrical_legwear, criss-cross_halter, frills, holding, steampunk, boots, microphone, short_sleeves, simple_background, single_thighhigh, smile, white_background |
| 9 | 7 |  |  |  |  |  | bare_shoulders, fake_animal_ears, looking_at_viewer, playboy_bunny, rabbit_ears, 1girl, black_leotard, blush, medium_breasts, wrist_cuffs, cleavage, detached_collar, pantyhose, solo, blunt_bangs, rabbit_tail, strapless_leotard, black_nails, bottle, bowtie, hair_ornament, long_hair, nail_polish |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | long_hair | neck_ribbon | school_uniform | solo | blazer | red_ribbon | white_shirt | blush | long_sleeves | looking_at_viewer | black_jacket | collared_shirt | pleated_skirt | open_jacket | smile | black_skirt | book | dress_shirt | hair_bow | parted_lips | garter_straps | plaid_skirt | single_thighhigh | thigh_strap | green_jacket | nail_polish | off_shoulder | simple_background | white_background | jewelry | plaid_bowtie | purple_nails | black_choker | open_mouth | sleeves_past_wrists | spiked_choker | collarbone | ear_piercing | bare_shoulders | cleavage | black_nails | makeup | necklace | blunt_bangs | purple_lips | upper_body | black_gloves | elbow_gloves | chain | medium_breasts | midriff | navel | skirt | choker | thighhighs | demon_horns | facial_mark | feathers | sitting | 1boy | hetero | penis | solo_focus | mosaic_censoring | erection | tongue_out | cum | fellatio | piercing | male_pubic_hair | pov | sweat | hat | grin | black_headwear | crop_top | purple_jacket | ring | hairclip | closed_mouth | floral_print | flower | green_shirt | shawl | sweater | black_belt | holding | purple_pantyhose | turtleneck | kimono | dress | fur_trim | goggles_on_head | bow | detached_sleeves | rose | corset | gears | shorts | asymmetrical_legwear | criss-cross_halter | frills | steampunk | boots | microphone | short_sleeves | fake_animal_ears | playboy_bunny | rabbit_ears | black_leotard | wrist_cuffs | detached_collar | pantyhose | rabbit_tail | strapless_leotard | bottle | bowtie | hair_ornament |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:------------|:--------------|:-----------------|:-------|:---------|:-------------|:--------------|:--------|:---------------|:--------------------|:---------------|:-----------------|:----------------|:--------------|:--------|:--------------|:-------|:--------------|:-----------|:--------------|:----------------|:--------------|:-------------------|:--------------|:---------------|:--------------|:---------------|:--------------------|:-------------------|:----------|:---------------|:---------------|:---------------|:-------------|:----------------------|:----------------|:-------------|:---------------|:-----------------|:-----------|:--------------|:---------|:-----------|:--------------|:--------------|:-------------|:---------------|:---------------|:--------|:-----------------|:----------|:--------|:--------|:---------|:-------------|:--------------|:--------------|:-----------|:----------|:-------|:---------|:--------|:-------------|:-------------------|:-----------|:-------------|:------|:-----------|:-----------|:------------------|:------|:--------|:------|:-------|:-----------------|:-----------|:----------------|:-------|:-----------|:---------------|:---------------|:---------|:--------------|:--------|:----------|:-------------|:----------|:-------------------|:-------------|:---------|:--------|:-----------|:------------------|:------|:-------------------|:-------|:---------|:--------|:---------|:-----------------------|:---------------------|:---------|:------------|:--------|:-------------|:----------------|:-------------------|:----------------|:--------------|:----------------|:--------------|:------------------|:------------|:--------------|:--------------------|:---------|:---------|:----------------|
| 0 | 12 |  |  |  |  |  | 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 | 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 | 5 |  |  |  |  |  | X | X | | | X | | | | | | X | | | | | X | | | | | | | | | | | | | | | X | | | | | | | | | | X | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 28 |  |  |  |  |  | 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 | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 16 |  |  |  |  |  | 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 | 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 | X |
|
CyberHarem/tanaka_mamimi_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T05:33:08+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T05:28:51+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of tanaka\_mamimi/็ฐไธญๆฉ็พใ
/ํ๋์นด๋ง๋ฏธ๋ฏธ (THE iDOLM@STER: SHINY COLORS)
=====================================================================
This is the dataset of tanaka\_mamimi/็ฐไธญๆฉ็พใ
/ํ๋์นด๋ง๋ฏธ๋ฏธ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'purple\_hair, bangs, purple\_eyes, diagonal\_bangs, twintails, breasts, earrings, short\_twintails', 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"
] |
5c594576a9f03a82685a632f2a4a47b56373aef0
|
# Dataset Card for "ballet_dancing_style_art_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/ballet_dancing_style_art_prompts
|
[
"region:us"
] |
2023-09-10T05:44:28+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 29462190, "num_examples": 100000}], "download_size": 3160092, "dataset_size": 29462190}}
|
2023-09-10T05:44:30+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "ballet_dancing_style_art_prompts"
More Information needed
|
[
"# Dataset Card for \"ballet_dancing_style_art_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"ballet_dancing_style_art_prompts\"\n\nMore Information needed"
] |
[
6,
23
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"ballet_dancing_style_art_prompts\"\n\nMore Information needed"
] |
670d4fcc3b2b6b1cba69d66b2837dd3f5b81d9ef
|
# Dataset Card for "c4_counterfactual_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
zxvix/c4_counterfactual_2
|
[
"region:us"
] |
2023-09-10T05:46:45+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "timestamp", "dtype": "timestamp[s]"}, {"name": "url", "dtype": "string"}, {"name": "original_text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 3513616.155, "num_examples": 985}], "download_size": 2261876, "dataset_size": 3513616.155}}
|
2023-09-10T05:46:50+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "c4_counterfactual_2"
More Information needed
|
[
"# Dataset Card for \"c4_counterfactual_2\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"c4_counterfactual_2\"\n\nMore Information needed"
] |
[
6,
19
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"c4_counterfactual_2\"\n\nMore Information needed"
] |
3c44504909c75f145b306a1a955fbb047a486158
|
# Dataset of Ruby
This is the dataset of Ruby, containing 200 images and their tags.
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)).
| Name | Images | Download | Description |
|:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 455 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x512 | 200 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x640 | 200 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 455 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 455 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-1200 | 455 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |
|
CyberHarem/ruby_oshinoko
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T05:50:05+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2023-09-17T16:30:12+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of Ruby
===============
This is the dataset of Ruby, containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
|
[] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
[
44
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
f34e2093d77ab1122afbef90f4939448cfb15540
|
# Dataset Card for Indian Traffic Rules
### Dataset Summary
This DataSet is curated to Train or fine-tuning LLMs on basic questions on Indian traffic rules.
### Licensing Information :- bigcode-openrail-m
|
Pravincoder/Indian_traffic_law_QA
|
[
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"license:bigcode-openrail-m",
"traffic_rules",
"law",
"Indian_traffic_rules",
"region:us"
] |
2023-09-10T05:59:33+00:00
|
{"language": ["en"], "license": "bigcode-openrail-m", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "tags": ["traffic_rules", "law", "Indian_traffic_rules"]}
|
2023-09-10T06:09:03+00:00
|
[] |
[
"en"
] |
TAGS
#task_categories-question-answering #size_categories-n<1K #language-English #license-bigcode-openrail-m #traffic_rules #law #Indian_traffic_rules #region-us
|
# Dataset Card for Indian Traffic Rules
### Dataset Summary
This DataSet is curated to Train or fine-tuning LLMs on basic questions on Indian traffic rules.
### Licensing Information :- bigcode-openrail-m
|
[
"# Dataset Card for Indian Traffic Rules",
"### Dataset Summary\nThis DataSet is curated to Train or fine-tuning LLMs on basic questions on Indian traffic rules.",
"### Licensing Information :- bigcode-openrail-m"
] |
[
"TAGS\n#task_categories-question-answering #size_categories-n<1K #language-English #license-bigcode-openrail-m #traffic_rules #law #Indian_traffic_rules #region-us \n",
"# Dataset Card for Indian Traffic Rules",
"### Dataset Summary\nThis DataSet is curated to Train or fine-tuning LLMs on basic questions on Indian traffic rules.",
"### Licensing Information :- bigcode-openrail-m"
] |
[
60,
9,
31,
14
] |
[
"passage: TAGS\n#task_categories-question-answering #size_categories-n<1K #language-English #license-bigcode-openrail-m #traffic_rules #law #Indian_traffic_rules #region-us \n# Dataset Card for Indian Traffic Rules### Dataset Summary\nThis DataSet is curated to Train or fine-tuning LLMs on basic questions on Indian traffic rules.### Licensing Information :- bigcode-openrail-m"
] |
14f91dfb8b3b8c29cfd173bf0de4b5680deba454
|
# Dataset Card for "job_listing_german_cleaned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
serbog/job_listing_german_cleaned
|
[
"region:us"
] |
2023-09-10T06:10:17+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "languages", "sequence": "string"}, {"name": "cleaned_description", "dtype": "string"}, {"name": "esco_codes", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 3268026933, "num_examples": 718430}], "download_size": 1383910100, "dataset_size": 3268026933}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-10T06:50:31+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "job_listing_german_cleaned"
More Information needed
|
[
"# Dataset Card for \"job_listing_german_cleaned\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"job_listing_german_cleaned\"\n\nMore Information needed"
] |
[
6,
21
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"job_listing_german_cleaned\"\n\nMore Information needed"
] |
68173654b5a9b6c0055408837100e41702905fe6
|
# Dataset of Arima Kana
This is the dataset of Arima Kana, containing 200 images and their tags.
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)).
| Name | Images | Download | Description |
|:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 396 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x512 | 200 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x640 | 200 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 396 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 396 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-1200 | 396 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |
|
CyberHarem/arima_kana_oshinoko
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T06:11:24+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2023-09-17T16:30:15+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of Arima Kana
=====================
This is the dataset of Arima Kana, containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
|
[] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
[
44
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
12c91d43aff50ba766ddc4f6e8aefc852b50a0e9
|
# Dataset Card for "skeletons_art_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/skeletons_art_prompts
|
[
"region:us"
] |
2023-09-10T06:13:26+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20339280, "num_examples": 100000}], "download_size": 1119913, "dataset_size": 20339280}}
|
2023-09-10T06:13:27+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "skeletons_art_prompts"
More Information needed
|
[
"# Dataset Card for \"skeletons_art_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"skeletons_art_prompts\"\n\nMore Information needed"
] |
[
6,
19
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"skeletons_art_prompts\"\n\nMore Information needed"
] |
966b21754da3cd843ef7e9b39bed5d9464d1c7d2
|
# Dataset Card for "ghost_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/ghost_prompts
|
[
"region:us"
] |
2023-09-10T06:18:35+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20543905, "num_examples": 100000}], "download_size": 320498, "dataset_size": 20543905}}
|
2023-09-10T06:18:37+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "ghost_prompts"
More Information needed
|
[
"# Dataset Card for \"ghost_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"ghost_prompts\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"ghost_prompts\"\n\nMore Information needed"
] |
a18c33f16b368088fad72a28bde13e2fe49a27df
|
# Dataset Card for "robotic_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/robotic_prompts
|
[
"region:us"
] |
2023-09-10T06:21:19+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18827510, "num_examples": 100000}], "download_size": 352202, "dataset_size": 18827510}}
|
2023-09-10T06:21:20+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "robotic_prompts"
More Information needed
|
[
"# Dataset Card for \"robotic_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"robotic_prompts\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"robotic_prompts\"\n\nMore Information needed"
] |
9c9a5b9c26a9ae18ecd373e5fbca320bee44e687
|
# Dataset Card for "landscape_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/landscape_prompts
|
[
"region:us"
] |
2023-09-10T06:24:07+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 38293009, "num_examples": 100000}], "download_size": 4530457, "dataset_size": 38293009}}
|
2023-09-10T06:24:09+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "landscape_prompts"
More Information needed
|
[
"# Dataset Card for \"landscape_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"landscape_prompts\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"landscape_prompts\"\n\nMore Information needed"
] |
348147f5245a3564ce5c19af0c4ebcc4dabe2ffd
|
# Dataset of saitou (Pokรฉmon)
This is the dataset of saitou (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are `short_hair, dark-skinned_female, hairband, dark_skin, grey_hair, black_hairband, hair_between_eyes, bangs, grey_eyes, breasts, 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 | 614.52 MiB | [Download](https://huggingface.co/datasets/CyberHarem/saitou_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 332.38 MiB | [Download](https://huggingface.co/datasets/CyberHarem/saitou_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1307 | 755.83 MiB | [Download](https://huggingface.co/datasets/CyberHarem/saitou_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 535.54 MiB | [Download](https://huggingface.co/datasets/CyberHarem/saitou_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1307 | 1.06 GiB | [Download](https://huggingface.co/datasets/CyberHarem/saitou_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/saitou_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 | 5 |  |  |  |  |  | 1girl, barefoot, black_bodysuit, bodysuit_under_clothes, covered_navel, holding_poke_ball, knee_pads, leg_up, print_shirt, short_sleeves, single_glove, solo, closed_mouth, feet, standing_on_one_leg, toes, ultra_ball, collared_shirt, dynamax_band, print_shorts, wristband, tied_shirt |
| 1 | 5 |  |  |  |  |  | 1girl, black_bodysuit, bodysuit_under_clothes, closed_mouth, collared_shirt, dynamax_band, holding_poke_ball, knee_pads, looking_at_viewer, partially_fingerless_gloves, print_shirt, print_shorts, short_sleeves, single_glove, solo, tied_shirt, ultra_ball, barefoot, covered_navel, leg_up, blonde_hair, simple_background, wristband |
| 2 | 11 |  |  |  |  |  | 1girl, black_bodysuit, bodysuit_under_clothes, closed_mouth, collared_shirt, covered_navel, holding_poke_ball, looking_at_viewer, short_sleeves, solo, ultra_ball, print_shorts, single_glove, dynamax_band, print_shirt, tied_shirt, clenched_hand, partially_fingerless_gloves |
| 3 | 5 |  |  |  |  |  | 1girl, black_bodysuit, bodysuit_under_clothes, bow_hairband, collared_shirt, dynamax_band, holding_poke_ball, knee_pads, partially_fingerless_gloves, print_shirt, print_shorts, short_sleeves, single_glove, solo, tied_shirt, ultra_ball, barefoot, closed_mouth, eyelashes, side_slit_shorts, looking_at_viewer, toes |
| 4 | 5 |  |  |  |  |  | 1girl, bodysuit_under_clothes, holding_poke_ball, looking_at_viewer, shirt, short_sleeves, solo, ultra_ball, black_bodysuit, covered_navel, shorts, wristband, single_glove, character_name, knee_pads |
| 5 | 13 |  |  |  |  |  | 1girl, black_bodysuit, bodysuit_under_clothes, closed_mouth, print_shirt, print_shorts, short_sleeves, single_glove, collared_shirt, dynamax_band, solo, tied_shirt, covered_navel, partially_fingerless_gloves, bow_hairband, eyelashes, looking_at_viewer, side_slit_shorts, clenched_hands, simple_background, white_background, hands_up |
| 6 | 7 |  |  |  |  |  | 1boy, 1girl, hetero, open_mouth, pussy, solo_focus, ass, uncensored, looking_back, vaginal, veiny_penis, anus, black_bodysuit, blush, gloves, sweat, torn_bodysuit, barefoot, clothed_female_nude_male, clothed_sex, looking_at_viewer, nipples, pov, short_sleeves, soles, toes |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | barefoot | black_bodysuit | bodysuit_under_clothes | covered_navel | holding_poke_ball | knee_pads | leg_up | print_shirt | short_sleeves | single_glove | solo | closed_mouth | feet | standing_on_one_leg | toes | ultra_ball | collared_shirt | dynamax_band | print_shorts | wristband | tied_shirt | looking_at_viewer | partially_fingerless_gloves | blonde_hair | simple_background | clenched_hand | bow_hairband | eyelashes | side_slit_shorts | shirt | shorts | character_name | clenched_hands | white_background | hands_up | 1boy | hetero | open_mouth | pussy | solo_focus | ass | uncensored | looking_back | vaginal | veiny_penis | anus | blush | gloves | sweat | torn_bodysuit | clothed_female_nude_male | clothed_sex | nipples | pov | soles |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------|:-----------------|:-------------------------|:----------------|:--------------------|:------------|:---------|:--------------|:----------------|:---------------|:-------|:---------------|:-------|:----------------------|:-------|:-------------|:-----------------|:---------------|:---------------|:------------|:-------------|:--------------------|:------------------------------|:--------------|:--------------------|:----------------|:---------------|:------------|:-------------------|:--------|:---------|:-----------------|:-----------------|:-------------------|:-----------|:-------|:---------|:-------------|:--------|:-------------|:------|:-------------|:---------------|:----------|:--------------|:-------|:--------|:---------|:--------|:----------------|:---------------------------|:--------------|:----------|:------|:--------|
| 0 | 5 |  |  |  |  |  | X | X | X | X | X | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 11 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | | X | X | X | X | X | | | X | X | X | | | | | X | | | | X | | X | | | | | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 13 |  |  |  |  |  | X | | 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 | X | X | X | X | X | X | X | X | X |
|
CyberHarem/saitou_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T06:34:01+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T16:25:15+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of saitou (Pokรฉmon)
===========================
This is the dataset of saitou (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are 'short\_hair, dark-skinned\_female, hairband, dark\_skin, grey\_hair, black\_hairband, hair\_between\_eyes, bangs, grey\_eyes, breasts, 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"
] |
ae542d91b317763d9ed83eafa35ab10cb41e0e13
|
# Dataset of MEM
This is the dataset of MEM, containing 200 images and their tags.
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)).
| Name | Images | Download | Description |
|:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 416 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x512 | 200 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x640 | 200 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 416 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 416 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-1200 | 416 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |
|
CyberHarem/mem_oshinoko
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T06:34:17+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2023-09-17T16:30:19+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of MEM
==============
This is the dataset of MEM, containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
|
[] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
[
44
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
b5e165594b8ef311a81a8b6ed9bec6e9285d1675
|
# Dataset of Saitou Miyako
This is the dataset of Saitou Miyako, containing 102 images and their tags.
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)).
| Name | Images | Download | Description |
|:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------|
| raw | 102 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 220 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| 384x512 | 102 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x512 | 102 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. |
| 512x704 | 102 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x640 | 102 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. |
| 640x880 | 102 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 220 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 220 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-1200 | 220 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |
|
CyberHarem/saitou_miyako_oshinoko
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T06:42:31+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2023-09-17T16:30:21+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of Saitou Miyako
========================
This is the dataset of Saitou Miyako, containing 102 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
|
[] |
[
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
[
44
] |
[
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
5c9a76fe80fe5703525740042d432a331600a6b7
|
# Dataset of medea/ใกใใฃใข/็พ็ไบ (Fate/Grand Order)
This is the dataset of medea/ใกใใฃใข/็พ็ไบ (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `pointy_ears, long_hair, blue_hair, blue_eyes, braid, side_braid, breasts, purple_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 | 532.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medea_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 320.42 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medea_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 967 | 601.18 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medea_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 477.95 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medea_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 967 | 834.21 MiB | [Download](https://huggingface.co/datasets/CyberHarem/medea_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_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 | 9 |  |  |  |  |  | 1girl, holding_staff, purple_dress, solo, long_dress, looking_at_viewer, black_gloves, purple_eyes, smile, choker, purple_lips, white_background |
| 1 | 5 |  |  |  |  |  | 1girl, solo, staff, cape, gloves, long_dress, magic_circle, purple_dress, long_sleeves |
| 2 | 6 |  |  |  |  |  | 1girl, cape, solo, black_gloves, smile, choker, staff, long_dress, magic, purple_dress |
| 3 | 12 |  |  |  |  |  | lipstick, looking_at_viewer, 1girl, black_gloves, purple_lips, smile, choker, solo, purple_dress, long_sleeves |
| 4 | 6 |  |  |  |  |  | 1girl, smile, solo, portrait, purple_eyes |
| 5 | 10 |  |  |  |  |  | 1girl, navel, solo, cleavage, looking_at_viewer, blush, large_breasts, lipstick, simple_background, white_background, black_bikini, side-tie_bikini_bottom, collarbone, medium_breasts, smile |
| 6 | 6 |  |  |  |  |  | 1girl, casual, denim_jacket, solo, long_skirt, looking_at_viewer |
| 7 | 11 |  |  |  |  |  | 1girl, solo, black_shirt, blue_jacket, casual, looking_at_viewer, collarbone, smile, blush, lipstick, purple_lips, alternate_costume, open_jacket, skirt, upper_body |
| 8 | 5 |  |  |  |  |  | blush, cleavage, high_ponytail, looking_at_viewer, very_long_hair, 1girl, bangs, bare_shoulders, collarbone, mismatched_legwear, purple_eyes, solo, thighhighs, capelet, choker, hair_scrunchie, mismatched_gloves, open_mouth, see-through, small_breasts, strapless_dress, :d, criss-cross_halter, holding_staff, large_breasts, navel, purple_gloves, sidelocks, sky, white_dress, white_panties |
| 9 | 9 |  |  |  |  |  | 1girl, bangs, bare_shoulders, black_choker, black_thighhighs, blush, collarbone, looking_at_viewer, solo, parted_lips, ass_visible_through_thighs, covered_navel, lace-trimmed_legwear, lipstick, medium_breasts, sitting, alternate_costume, cameltoe, purple_dress, purple_eyes, purple_lips, small_breasts, jacket, panties, pussy |
| 10 | 8 |  |  |  |  |  | 1girl, solo, cleavage, large_breasts, thighhighs, bare_shoulders, blush, black_panties, looking_at_viewer, on_back, see-through, boots, elbow_gloves, garter_straps, nipples, ponytail, smile |
| 11 | 11 |  |  |  |  |  | 1girl, blush, solo_focus, 1boy, hetero, penis, sex, vaginal, open_mouth, nipples, nude, large_breasts, on_back, navel, spread_legs, bangs, cum_in_pussy, mosaic_censoring, smile, thighhighs, uncensored |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | holding_staff | purple_dress | solo | long_dress | looking_at_viewer | black_gloves | purple_eyes | smile | choker | purple_lips | white_background | staff | cape | gloves | magic_circle | long_sleeves | magic | lipstick | portrait | navel | cleavage | blush | large_breasts | simple_background | black_bikini | side-tie_bikini_bottom | collarbone | medium_breasts | casual | denim_jacket | long_skirt | black_shirt | blue_jacket | alternate_costume | open_jacket | skirt | upper_body | high_ponytail | very_long_hair | bangs | bare_shoulders | mismatched_legwear | thighhighs | capelet | hair_scrunchie | mismatched_gloves | open_mouth | see-through | small_breasts | strapless_dress | :d | criss-cross_halter | purple_gloves | sidelocks | sky | white_dress | white_panties | black_choker | black_thighhighs | parted_lips | ass_visible_through_thighs | covered_navel | lace-trimmed_legwear | sitting | cameltoe | jacket | panties | pussy | black_panties | on_back | boots | elbow_gloves | garter_straps | nipples | ponytail | solo_focus | 1boy | hetero | penis | sex | vaginal | nude | spread_legs | cum_in_pussy | mosaic_censoring | uncensored |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:----------------|:---------------|:-------|:-------------|:--------------------|:---------------|:--------------|:--------|:---------|:--------------|:-------------------|:--------|:-------|:---------|:---------------|:---------------|:--------|:-----------|:-----------|:--------|:-----------|:--------|:----------------|:--------------------|:---------------|:-------------------------|:-------------|:-----------------|:---------|:---------------|:-------------|:--------------|:--------------|:--------------------|:--------------|:--------|:-------------|:----------------|:-----------------|:--------|:-----------------|:---------------------|:-------------|:----------|:-----------------|:--------------------|:-------------|:--------------|:----------------|:------------------|:-----|:---------------------|:----------------|:------------|:------|:--------------|:----------------|:---------------|:-------------------|:--------------|:-----------------------------|:----------------|:-----------------------|:----------|:-----------|:---------|:----------|:--------|:----------------|:----------|:--------|:---------------|:----------------|:----------|:-----------|:-------------|:-------|:---------|:--------|:------|:----------|:-------|:--------------|:---------------|:-------------------|:-------------|
| 0 | 9 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 5 |  |  |  |  |  | X | | X | X | X | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 6 |  |  |  |  |  | X | | X | X | X | | X | | X | X | | | X | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 12 |  |  |  |  |  | X | | X | X | | X | X | | X | X | X | | | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 6 |  |  |  |  |  | X | | | X | | | | X | X | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 10 |  |  |  |  |  | X | | | X | | X | | | X | | | X | | | | | | | X | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 6 |  |  |  |  |  | X | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 11 |  |  |  |  |  | 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 | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 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 | | | | | | | | | | | | | | | | | | |
| 10 | 8 |  |  |  |  |  | X | | | X | | X | | | X | | | | | | | | | | | | | X | X | X | | | | | | | | | | | | | | | | | | X | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | |
| 11 | 11 |  |  |  |  |  | X | | | | | | | | X | | | | | | | | | | | | X | | X | X | | | | | | | | | | | | | | | | | X | | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | X | | | | X | | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/medea_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T06:48:01+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-13T04:17:21+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of medea/ใกใใฃใข/็พ็ไบ (Fate/Grand Order)
============================================
This is the dataset of medea/ใกใใฃใข/็พ็ไบ (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'pointy\_ears, long\_hair, blue\_hair, blue\_eyes, braid, side\_braid, breasts, purple\_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"
] |
a4bfcfdb8e3ffe19fff5e4b91dd6346fbe0f8e3f
|
# Dataset of serizawa_asahi/่นๆฒขใใใฒ/์ธ๋ฆฌ์์์์ฌํ (THE iDOLM@STER: SHINY COLORS)
This is the dataset of serizawa_asahi/่นๆฒขใใใฒ/์ธ๋ฆฌ์์์์ฌํ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `blue_eyes, bangs, short_hair, grey_hair, 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 | 822.98 MiB | [Download](https://huggingface.co/datasets/CyberHarem/serizawa_asahi_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 415.07 MiB | [Download](https://huggingface.co/datasets/CyberHarem/serizawa_asahi_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1271 | 931.98 MiB | [Download](https://huggingface.co/datasets/CyberHarem/serizawa_asahi_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 701.05 MiB | [Download](https://huggingface.co/datasets/CyberHarem/serizawa_asahi_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1271 | 1.38 GiB | [Download](https://huggingface.co/datasets/CyberHarem/serizawa_asahi_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/serizawa_asahi_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 | 16 |  |  |  |  |  | 1girl, blush, looking_at_viewer, small_breasts, solo, collarbone, simple_background, white_background, smile, short_twintails, black_one-piece_swimsuit, thighs, cowboy_shot, open_mouth, twin_braids, ass |
| 1 | 7 |  |  |  |  |  | 1girl, looking_at_viewer, solo, long_sleeves, simple_background, white_background, blush, smile, white_shirt, closed_mouth, upper_body, open_jacket, purple_jacket |
| 2 | 13 |  |  |  |  |  | 1girl, long_sleeves, looking_at_viewer, solo, purple_jacket, simple_background, bike_shorts, fanny_pack, white_shirt, open_jacket, smile, sneakers, white_background, black_shorts, blush, full_body, open_mouth, sleeves_past_wrists, white_socks, upper_teeth_only |
| 3 | 5 |  |  |  |  |  | 1girl, bike_shorts, black_shorts, goggles_around_neck, long_sleeves, looking_at_viewer, sailor_collar, solo, blue_jacket, inline_skates, open_jacket, blush, grin, petals, white_shirt, blue_neckerchief, breasts, window |
| 4 | 6 |  |  |  |  |  | 1girl, sailor_collar, serafuku, simple_background, solo, white_background, jewelry, looking_at_viewer, upper_body, cardigan, long_sleeves, sleeves_past_wrists |
| 5 | 23 |  |  |  |  |  | 1girl, looking_at_viewer, cardigan, long_sleeves, serafuku, solo, plaid_skirt, blush, jewelry, pleated_skirt, simple_background, blue_skirt, blue_sailor_collar, white_background, open_mouth, :d |
| 6 | 5 |  |  |  |  |  | 1girl, bowtie, long_hair, looking_at_viewer, plaid_skirt, pleated_skirt, school_uniform, simple_background, solo, white_background, white_shirt, blue_skirt, blush, bracelet, kogal, school_bag, jacket_around_waist, long_sleeves, nail_polish, wrist_scrunchie, hairclip, holding, wavy_hair |
| 7 | 5 |  |  |  |  |  | 1girl, kogal, long_hair, looking_at_viewer, nail_polish, school_uniform, simple_background, solo, white_shirt, wrist_scrunchie, alternate_hair_length, blue_nails, blush, hairclip, jacket_around_waist, open_collar, plaid_skirt, wavy_hair, white_background, bag, blue_skirt, bracelet, grin, loose_bowtie, loose_socks, pleated_skirt, polka_dot, upper_body, white_socks |
| 8 | 10 |  |  |  |  |  | 1boy, 1girl, blush, hetero, penis, bar_censor, fellatio, solo_focus, :>=, cardigan, long_sleeves, looking_at_viewer, pov, serafuku, male_pubic_hair, blue_sailor_collar, blue_skirt, clothed_female_nude_male, cum, heart-shaped_pupils, jewelry, plaid_skirt |
| 9 | 8 |  |  |  |  |  | 1girl, looking_at_viewer, solo, two_side_up, blush, long_sleeves, stuffed_bunny, stuffed_cat, closed_mouth, object_hug, pink_jacket, teddy_bear, :t, pout, black_shorts, brown_hair, short_shorts, sitting, sleeves_past_wrists, blurry_background, jewelry, knees_up, pink_footwear, shirt, shoes, simple_background, white_background |
| 10 | 6 |  |  |  |  |  | 1girl, collarbone, looking_at_viewer, navel, small_breasts, stomach, white_bra, white_panties, parted_lips, simple_background, solo, underwear_only, white_background, blush |
| 11 | 8 |  |  |  |  |  | 1girl, looking_at_viewer, nail_polish, detached_sleeves, long_sleeves, red_nails, solo, bare_shoulders, red_skirt, smile, belt, hair_ribbon, pantyhose, red_ribbon, open_mouth, pleated_skirt, simple_background, black_shirt, blush, hair_between_eyes, jacket, miniskirt, navel, streaked_hair, white_background |
| 12 | 9 |  |  |  |  |  | 1girl, crown, jewelry, solo, white_gloves, frilled_sleeves, looking_at_viewer, fur_trim, smile, cape, epaulettes, long_sleeves, white_shorts, belt, simple_background, sitting, thigh_strap, white_footwear, white_shirt |
| 13 | 41 |  |  |  |  |  | 1girl, maid_apron, solo, maid_headdress, black_dress, looking_at_viewer, enmaided, frills, juliet_sleeves, blush, smile, simple_background, single_hair_bun, holding, open_mouth, white_background, white_apron |
| 14 | 5 |  |  |  |  |  | 1girl, braid, christmas, looking_at_viewer, santa_costume, santa_hat, smile, solo, blush, red_headwear, sack, star_(symbol), holding, long_sleeves, open_mouth, simple_background, white_background, belt, blurry_background, capelet, depth_of_field, fur-trimmed_headwear, fur-trimmed_shorts, fur-trimmed_sleeves, jewelry, upper_body |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | blush | looking_at_viewer | small_breasts | solo | collarbone | simple_background | white_background | smile | short_twintails | black_one-piece_swimsuit | thighs | cowboy_shot | open_mouth | twin_braids | ass | long_sleeves | white_shirt | closed_mouth | upper_body | open_jacket | purple_jacket | bike_shorts | fanny_pack | sneakers | black_shorts | full_body | sleeves_past_wrists | white_socks | upper_teeth_only | goggles_around_neck | sailor_collar | blue_jacket | inline_skates | grin | petals | blue_neckerchief | breasts | window | serafuku | jewelry | cardigan | plaid_skirt | pleated_skirt | blue_skirt | blue_sailor_collar | :d | bowtie | long_hair | school_uniform | bracelet | kogal | school_bag | jacket_around_waist | nail_polish | wrist_scrunchie | hairclip | holding | wavy_hair | alternate_hair_length | blue_nails | open_collar | bag | loose_bowtie | loose_socks | polka_dot | 1boy | hetero | penis | bar_censor | fellatio | solo_focus | :>= | pov | male_pubic_hair | clothed_female_nude_male | cum | heart-shaped_pupils | two_side_up | stuffed_bunny | stuffed_cat | object_hug | pink_jacket | teddy_bear | :t | pout | brown_hair | short_shorts | sitting | blurry_background | knees_up | pink_footwear | shirt | shoes | navel | stomach | white_bra | white_panties | parted_lips | underwear_only | detached_sleeves | red_nails | bare_shoulders | red_skirt | belt | hair_ribbon | pantyhose | red_ribbon | black_shirt | hair_between_eyes | jacket | miniskirt | streaked_hair | crown | white_gloves | frilled_sleeves | fur_trim | cape | epaulettes | white_shorts | thigh_strap | white_footwear | maid_apron | maid_headdress | black_dress | enmaided | frills | juliet_sleeves | single_hair_bun | white_apron | braid | christmas | santa_costume | santa_hat | red_headwear | sack | star_(symbol) | capelet | depth_of_field | fur-trimmed_headwear | fur-trimmed_shorts | fur-trimmed_sleeves |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------|:--------------------|:----------------|:-------|:-------------|:--------------------|:-------------------|:--------|:------------------|:---------------------------|:---------|:--------------|:-------------|:--------------|:------|:---------------|:--------------|:---------------|:-------------|:--------------|:----------------|:--------------|:-------------|:-----------|:---------------|:------------|:----------------------|:--------------|:-------------------|:----------------------|:----------------|:--------------|:----------------|:-------|:---------|:-------------------|:----------|:---------|:-----------|:----------|:-----------|:--------------|:----------------|:-------------|:---------------------|:-----|:---------|:------------|:-----------------|:-----------|:--------|:-------------|:----------------------|:--------------|:------------------|:-----------|:----------|:------------|:------------------------|:-------------|:--------------|:------|:---------------|:--------------|:------------|:-------|:---------|:--------|:-------------|:-----------|:-------------|:------|:------|:------------------|:---------------------------|:------|:----------------------|:--------------|:----------------|:--------------|:-------------|:--------------|:-------------|:-----|:-------|:-------------|:---------------|:----------|:--------------------|:-----------|:----------------|:--------|:--------|:--------|:----------|:------------|:----------------|:--------------|:-----------------|:-------------------|:------------|:-----------------|:------------|:-------|:--------------|:------------|:-------------|:--------------|:--------------------|:---------|:------------|:----------------|:--------|:---------------|:------------------|:-----------|:-------|:-------------|:---------------|:--------------|:-----------------|:-------------|:-----------------|:--------------|:-----------|:---------|:-----------------|:------------------|:--------------|:--------|:------------|:----------------|:------------|:---------------|:-------|:----------------|:----------|:-----------------|:-----------------------|:---------------------|:----------------------|
| 0 | 16 |  |  |  |  |  | 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 | 13 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 6 |  |  |  |  |  | X | | X | | X | | X | X | | | | | | | | | X | | | X | | | | | | | | X | | | | X | | | | | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 23 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 10 |  |  |  |  |  | X | X | X | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | | X | X | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 6 |  |  |  |  |  | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 11 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 12 | 9 |  |  |  |  |  | X | | X | | X | | X | | X | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | X | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | |
| 13 | 41 |  |  |  |  |  | X | X | X | | X | | X | X | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | |
| 14 | 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 |
|
CyberHarem/serizawa_asahi_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T06:48:06+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T05:18:24+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of serizawa\_asahi/่นๆฒขใใใฒ/์ธ๋ฆฌ์์์์ฌํ (THE iDOLM@STER: SHINY COLORS)
=======================================================================
This is the dataset of serizawa\_asahi/่นๆฒขใใใฒ/์ธ๋ฆฌ์์์์ฌํ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'blue\_eyes, bangs, short\_hair, grey\_hair, 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"
] |
348835c21d3b06cd0c378bc7f81a0ff8da4eff0e
|
# 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]
|
aadajinkya/python_code
|
[
"region:us"
] |
2023-09-10T06:48:53+00:00
|
{}
|
2023-09-13T18:08:43+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?",
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"#### Annotation process",
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"### Social Impact of Dataset",
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"### Dataset Curators",
"### Licensing Information",
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[
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"### Supported Tasks and Leaderboards",
"### Languages",
"## Dataset Structure",
"### Data Instances",
"### Data Fields",
"### Data Splits",
"## Dataset Creation",
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"#### Initial Data Collection and Normalization",
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"## Considerations for Using the Data",
"### Social Impact of Dataset",
"### Discussion of Biases",
"### Other Known Limitations",
"## Additional Information",
"### Dataset Curators",
"### Licensing Information",
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[
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
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[
"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"
] |
e09275f4388d7de0c79ab520817d18f49f64028f
|
# Dataset Card for "actor_action_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/actor_action_prompts
|
[
"region:us"
] |
2023-09-10T07:21:14+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 29608481, "num_examples": 100000}], "download_size": 4202942, "dataset_size": 29608481}}
|
2023-09-10T07:21:15+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "actor_action_prompts"
More Information needed
|
[
"# Dataset Card for \"actor_action_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"actor_action_prompts\"\n\nMore Information needed"
] |
[
6,
18
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"actor_action_prompts\"\n\nMore Information needed"
] |
c6b032b7d9dc1e63a6508310a56741c5ecaa27fd
|
# Dataset Card for "presidents_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/presidents_prompts
|
[
"region:us"
] |
2023-09-10T07:22:22+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 33180376, "num_examples": 100000}], "download_size": 4643870, "dataset_size": 33180376}}
|
2023-09-10T07:22:24+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "presidents_prompts"
More Information needed
|
[
"# Dataset Card for \"presidents_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"presidents_prompts\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"presidents_prompts\"\n\nMore Information needed"
] |
f19680cabf4a6e4b4dbd886eec235f7ea6ad013c
|
* website: [techrakyat](https://techrakyat.com/)
* num. of webpages scraped: 220
* contributed to: https://github.com/huseinzol05/malaysian-dataset
|
wanadzhar913/crawl-techrakyat
|
[
"language:en",
"license:apache-2.0",
"region:us"
] |
2023-09-10T07:37:43+00:00
|
{"language": ["en"], "license": "apache-2.0"}
|
2023-09-10T07:42:55+00:00
|
[] |
[
"en"
] |
TAGS
#language-English #license-apache-2.0 #region-us
|
* website: techrakyat
* num. of webpages scraped: 220
* contributed to: URL
|
[] |
[
"TAGS\n#language-English #license-apache-2.0 #region-us \n"
] |
[
18
] |
[
"passage: TAGS\n#language-English #license-apache-2.0 #region-us \n"
] |
eb4bff42927a23873f92b75e07d055df27637245
|
# Dataset Card for "mobile_design_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/mobile_design_prompts
|
[
"region:us"
] |
2023-09-10T07:44:04+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 47497286, "num_examples": 100000}], "download_size": 5304551, "dataset_size": 47497286}}
|
2023-09-10T07:44:06+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "mobile_design_prompts"
More Information needed
|
[
"# Dataset Card for \"mobile_design_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"mobile_design_prompts\"\n\nMore Information needed"
] |
[
6,
17
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"mobile_design_prompts\"\n\nMore Information needed"
] |
9ed16cb253d1aff3f152d35097cdf2020b857ad2
|
# Dataset Card for "military_machinery_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/military_machinery_prompts
|
[
"region:us"
] |
2023-09-10T07:51:08+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37777094, "num_examples": 100000}], "download_size": 4294425, "dataset_size": 37777094}}
|
2023-09-10T07:51:10+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "military_machinery_prompts"
More Information needed
|
[
"# Dataset Card for \"military_machinery_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"military_machinery_prompts\"\n\nMore Information needed"
] |
[
6,
19
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"military_machinery_prompts\"\n\nMore Information needed"
] |
af8e5fb9089e97ae909e6a8ff083a4e8d319c3e7
|
# Dataset Card for "3d-birds_animals_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/3d-birds_animals_prompts
|
[
"region:us"
] |
2023-09-10T07:57:21+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 32675579, "num_examples": 100000}], "download_size": 4072582, "dataset_size": 32675579}}
|
2023-09-10T07:57:23+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "3d-birds_animals_prompts"
More Information needed
|
[
"# Dataset Card for \"3d-birds_animals_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"3d-birds_animals_prompts\"\n\nMore Information needed"
] |
[
6,
22
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"3d-birds_animals_prompts\"\n\nMore Information needed"
] |
2968086a71dfb35f2f7b8fe9b0a1d59b007381cc
|
# Dataset Card for "llama2-politosphere-fine-tuning-system-prompt_without_definition"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
OneFly7/llama2-politosphere-fine-tuning-system-prompt-without-definition
|
[
"region:us"
] |
2023-09-10T08:03:57+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": 64460, "num_examples": 113}, {"name": "validation", "num_bytes": 62208, "num_examples": 113}], "download_size": 35724, "dataset_size": 126668}}
|
2023-09-10T08:04:00+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "llama2-politosphere-fine-tuning-system-prompt_without_definition"
More Information needed
|
[
"# Dataset Card for \"llama2-politosphere-fine-tuning-system-prompt_without_definition\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"llama2-politosphere-fine-tuning-system-prompt_without_definition\"\n\nMore Information needed"
] |
[
6,
33
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"llama2-politosphere-fine-tuning-system-prompt_without_definition\"\n\nMore Information needed"
] |
17adece57ef21a82343823a4637c9afe05701c22
|
# Dataset Card for "real_military_machinery_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/real_military_machinery_prompts
|
[
"region:us"
] |
2023-09-10T08:04:14+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 39077069, "num_examples": 100000}], "download_size": 4335632, "dataset_size": 39077069}}
|
2023-09-10T08:04:16+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "real_military_machinery_prompts"
More Information needed
|
[
"# Dataset Card for \"real_military_machinery_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"real_military_machinery_prompts\"\n\nMore Information needed"
] |
[
6,
21
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"real_military_machinery_prompts\"\n\nMore Information needed"
] |
5759e831a2486c4cde9aa18956bfec05a7235a3c
|
# Dataset of stheno/ในใใณใ/ๆฏๅฟ่ฏบ (Fate/Grand Order)
This is the dataset of stheno/ในใใณใ/ๆฏๅฟ่ฏบ (Fate/Grand Order), containing 265 images and their tags.
The core tags of this character are `long_hair, twintails, purple_hair, hairband, purple_eyes, very_long_hair, lolita_hairband, bangs, 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 | 265 | 408.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/stheno_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 265 | 222.32 MiB | [Download](https://huggingface.co/datasets/CyberHarem/stheno_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 644 | 471.85 MiB | [Download](https://huggingface.co/datasets/CyberHarem/stheno_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 265 | 359.76 MiB | [Download](https://huggingface.co/datasets/CyberHarem/stheno_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 644 | 685.27 MiB | [Download](https://huggingface.co/datasets/CyberHarem/stheno_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/stheno_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 | 15 |  |  |  |  |  | 1girl, bare_shoulders, bracelet, choker, frills, looking_at_viewer, solo, strapless_dress, white_dress, smile, open_mouth |
| 1 | 5 |  |  |  |  |  | 1girl, halo, looking_at_viewer, see-through, smile, solo, open_mouth, white_dress, small_breasts, blush, bracelet, navel, white_panties |
| 2 | 5 |  |  |  |  |  | 1boy, 1girl, blush, hetero, sex, small_breasts, vaginal, navel, nipples, open_mouth, penis, pov, cowgirl_position, cum_in_pussy, girl_on_top, looking_at_viewer, panties_aside, solo_focus, spread_legs, sweat, bar_censor, choker, condom, holding_hands, on_back, pink_panties, slit_pupils, smile |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | bracelet | choker | frills | looking_at_viewer | solo | strapless_dress | white_dress | smile | open_mouth | halo | see-through | small_breasts | blush | navel | white_panties | 1boy | hetero | sex | vaginal | nipples | penis | pov | cowgirl_position | cum_in_pussy | girl_on_top | panties_aside | solo_focus | spread_legs | sweat | bar_censor | condom | holding_hands | on_back | pink_panties | slit_pupils |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:-----------|:---------|:---------|:--------------------|:-------|:------------------|:--------------|:--------|:-------------|:-------|:--------------|:----------------|:--------|:--------|:----------------|:-------|:---------|:------|:----------|:----------|:--------|:------|:-------------------|:---------------|:--------------|:----------------|:-------------|:--------------|:--------|:-------------|:---------|:----------------|:----------|:---------------|:--------------|
| 0 | 15 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | |
| 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 | X | X | X | X |
|
CyberHarem/stheno_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T08:05:13+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T18:31:17+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of stheno/ในใใณใ/ๆฏๅฟ่ฏบ (Fate/Grand Order)
=============================================
This is the dataset of stheno/ในใใณใ/ๆฏๅฟ่ฏบ (Fate/Grand Order), containing 265 images and their tags.
The core tags of this character are 'long\_hair, twintails, purple\_hair, hairband, purple\_eyes, very\_long\_hair, lolita\_hairband, bangs, 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"
] |
3e8b2dfdd534c56f66603094ee67367eae813824
|
# Dataset Card for "llama2-politosphere-fine-tuning-system-prompt_with_definition"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
OneFly7/llama2-politosphere-fine-tuning-system-prompt_with_definition
|
[
"region:us"
] |
2023-09-10T08:05:59+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": 184692, "num_examples": 113}, {"name": "validation", "num_bytes": 182440, "num_examples": 113}], "download_size": 66387, "dataset_size": 367132}}
|
2023-09-10T08:06:02+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "llama2-politosphere-fine-tuning-system-prompt_with_definition"
More Information needed
|
[
"# Dataset Card for \"llama2-politosphere-fine-tuning-system-prompt_with_definition\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"llama2-politosphere-fine-tuning-system-prompt_with_definition\"\n\nMore Information needed"
] |
[
6,
32
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"llama2-politosphere-fine-tuning-system-prompt_with_definition\"\n\nMore Information needed"
] |
aeba60e38f8d6742fa71e932548c39e904546bfa
|
# Dataset Card for "Futuristic_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/Futuristic_prompts
|
[
"region:us"
] |
2023-09-10T08:13:34+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28829161, "num_examples": 100000}], "download_size": 2389938, "dataset_size": 28829161}}
|
2023-09-10T08:13:35+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "Futuristic_prompts"
More Information needed
|
[
"# Dataset Card for \"Futuristic_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"Futuristic_prompts\"\n\nMore Information needed"
] |
[
6,
17
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"Futuristic_prompts\"\n\nMore Information needed"
] |
a1d93600604782c3de874592f630d901a0ceb8b2
|
# Dataset of kazano_hiori/้ขจ้็ฏ็น/์นด์๋
ธํ์ค๋ฆฌ (THE iDOLM@STER: SHINY COLORS)
This is the dataset of kazano_hiori/้ขจ้็ฏ็น/์นด์๋
ธํ์ค๋ฆฌ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `black_hair, long_hair, mole, mole_under_mouth, bangs, ponytail, 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 | 800.71 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kazano_hiori_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 415.91 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kazano_hiori_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1217 | 908.97 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kazano_hiori_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 682.65 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kazano_hiori_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1217 | 1.34 GiB | [Download](https://huggingface.co/datasets/CyberHarem/kazano_hiori_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/kazano_hiori_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, solo, black_eyes, holding_microphone, looking_at_viewer, open_mouth, detached_sleeves, jewelry, white_background, white_headwear, blue_skirt, idol_clothes, mini_hat, simple_background |
| 1 | 6 |  |  |  |  |  | 1girl, blazer, blush, looking_at_viewer, necktie, school_uniform, simple_background, solo, upper_body, white_background, shirt, smile |
| 2 | 8 |  |  |  |  |  | 1girl, looking_at_viewer, pleated_skirt, school_uniform, solo, blazer, plaid_skirt, striped_necktie, blue_necktie, long_sleeves, miniskirt, smile, sweater, blue_skirt, blush, simple_background, white_background, white_shirt, black_eyes, black_jacket, blue_eyes, collared_shirt, grey_jacket, open_mouth |
| 3 | 32 |  |  |  |  |  | 1girl, black_serafuku, solo, looking_at_viewer, red_neckerchief, black_shirt, long_sleeves, black_sailor_collar, black_skirt, pleated_skirt, purple_eyes, blush, collarbone, hairclip, holding_flower, closed_mouth, pantyhose, simple_background |
| 4 | 16 |  |  |  |  |  | 1girl, blush, solo, collarbone, looking_at_viewer, navel, medium_breasts, white_shirt, black_bikini, cleavage, open_shirt, blue_eyes, closed_mouth, simple_background, white_background, upper_body |
| 5 | 7 |  |  |  |  |  | 1girl, cowboy_shot, looking_at_viewer, solo, blush, medium_breasts, navel, stomach, blue_eyes, halterneck, side-tie_bikini_bottom, simple_background, white_background, armpits, blue_bikini, string_bikini, wet, arms_up, bare_arms, black_bikini, closed_mouth, collarbone, one_eye_closed |
| 6 | 10 |  |  |  |  |  | 1girl, navel, nipples, solo, blush, completely_nude, looking_at_viewer, pussy, medium_breasts, collarbone, simple_background, female_pubic_hair, black_eyes, blue_eyes, censored, cleft_of_venus, closed_mouth, cowboy_shot, open_mouth, white_background |
| 7 | 6 |  |  |  |  |  | 1girl, dress, looking_at_viewer, open_mouth, smile, solo, hair_ornament, collarbone, purple_eyes, sleeveless, black_gloves, cleavage, detached_collar, idol |
| 8 | 7 |  |  |  |  |  | 1boy, 1girl, blush, hetero, penis, solo_focus, nipples, bar_censor, completely_nude, looking_at_viewer, pov, blue_eyes, fellatio, mosaic_censoring, open_mouth |
| 9 | 5 |  |  |  |  |  | 1boy, 1girl, hetero, mosaic_censoring, penis, blush, male_pubic_hair, solo_focus, fellatio, bare_shoulders, cum_in_mouth, erection, purple_eyes, stray_pubic_hair |
| 10 | 11 |  |  |  |  |  | 1girl, babydoll, bare_shoulders, solo, blush, navel, neck_ribbon, cleavage, looking_at_viewer, orange_ribbon, witch_hat, simple_background, small_breasts, white_bloomers, white_headwear, bare_arms, striped_thighhighs, detached_collar, black_eyes, medium_breasts, open_mouth, orange_thighhighs, sitting, white_background, blue_eyes, broom, closed_mouth, frills, hat_ribbon, smile, wavy_hair |
| 11 | 5 |  |  |  |  |  | 1girl, blush, open_mouth, solo, :d, depth_of_field, long_sleeves, looking_at_viewer, upper_body, blurry_foreground, outdoors, shirt, autumn_leaves, black_eyes, cherry_blossoms, hat, holding, jacket, leaf, petals, purple_eyes, skirt, tree |
| 12 | 7 |  |  |  |  |  | 1girl, looking_at_viewer, purple_eyes, solo, blush, hair_flower, smile, wide_sleeves, blue_kimono, floral_print, long_sleeves, obi, upper_body, holding, open_mouth, print_kimono |
| 13 | 6 |  |  |  |  |  | blush, fake_animal_ears, looking_at_viewer, 1girl, cleavage, medium_breasts, playboy_bunny, rabbit_ears, solo, strapless_leotard, wrist_cuffs, bare_shoulders, black_leotard, black_pantyhose, black_eyes, bowtie, covered_navel, cowboy_shot, detached_collar, fishnets, rabbit_tail, simple_background, white_background |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | black_eyes | holding_microphone | looking_at_viewer | open_mouth | detached_sleeves | jewelry | white_background | white_headwear | blue_skirt | idol_clothes | mini_hat | simple_background | blazer | blush | necktie | school_uniform | upper_body | shirt | smile | pleated_skirt | plaid_skirt | striped_necktie | blue_necktie | long_sleeves | miniskirt | sweater | white_shirt | black_jacket | blue_eyes | collared_shirt | grey_jacket | black_serafuku | red_neckerchief | black_shirt | black_sailor_collar | black_skirt | purple_eyes | collarbone | hairclip | holding_flower | closed_mouth | pantyhose | navel | medium_breasts | black_bikini | cleavage | open_shirt | cowboy_shot | stomach | halterneck | side-tie_bikini_bottom | armpits | blue_bikini | string_bikini | wet | arms_up | bare_arms | one_eye_closed | nipples | completely_nude | pussy | female_pubic_hair | censored | cleft_of_venus | dress | hair_ornament | sleeveless | black_gloves | detached_collar | idol | 1boy | hetero | penis | solo_focus | bar_censor | pov | fellatio | mosaic_censoring | male_pubic_hair | bare_shoulders | cum_in_mouth | erection | stray_pubic_hair | babydoll | neck_ribbon | orange_ribbon | witch_hat | small_breasts | white_bloomers | striped_thighhighs | orange_thighhighs | sitting | broom | frills | hat_ribbon | wavy_hair | :d | depth_of_field | blurry_foreground | outdoors | autumn_leaves | cherry_blossoms | hat | holding | jacket | leaf | petals | skirt | tree | hair_flower | wide_sleeves | blue_kimono | floral_print | obi | print_kimono | fake_animal_ears | playboy_bunny | rabbit_ears | strapless_leotard | wrist_cuffs | black_leotard | black_pantyhose | bowtie | covered_navel | fishnets | rabbit_tail |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-------|:-------------|:---------------------|:--------------------|:-------------|:-------------------|:----------|:-------------------|:-----------------|:-------------|:---------------|:-----------|:--------------------|:---------|:--------|:----------|:-----------------|:-------------|:--------|:--------|:----------------|:--------------|:------------------|:---------------|:---------------|:------------|:----------|:--------------|:---------------|:------------|:-----------------|:--------------|:-----------------|:------------------|:--------------|:----------------------|:--------------|:--------------|:-------------|:-----------|:-----------------|:---------------|:------------|:--------|:-----------------|:---------------|:-----------|:-------------|:--------------|:----------|:-------------|:-------------------------|:----------|:--------------|:----------------|:------|:----------|:------------|:-----------------|:----------|:------------------|:--------|:--------------------|:-----------|:-----------------|:--------|:----------------|:-------------|:---------------|:------------------|:-------|:-------|:---------|:--------|:-------------|:-------------|:------|:-----------|:-------------------|:------------------|:-----------------|:---------------|:-----------|:-------------------|:-----------|:--------------|:----------------|:------------|:----------------|:-----------------|:---------------------|:--------------------|:----------|:--------|:---------|:-------------|:------------|:-----|:-----------------|:--------------------|:-----------|:----------------|:------------------|:------|:----------|:---------|:-------|:---------|:--------|:-------|:--------------|:---------------|:--------------|:---------------|:------|:---------------|:-------------------|:----------------|:--------------|:--------------------|:--------------|:----------------|:------------------|:---------|:----------------|:-----------|:--------------|
| 0 | 6 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 32 |  |  |  |  |  | X | X | | | X | | | | | | | | | X | | X | | | | | | X | | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 16 |  |  |  |  |  | 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 | 10 |  |  |  |  |  | X | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 7 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 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 | 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 | | | | | | | | | | | | | | | | | |
| 12 | 7 |  |  |  |  |  | X | X | | | X | X | | | | | | | | | | X | | | X | | X | | | | | X | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | X | X | X | X | X | X | | | | | | | | | | | |
| 13 | 6 |  |  |  |  |  | X | X | X | | X | | | | X | | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | X | | X | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/kazano_hiori_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T08:20:20+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T07:42:30+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of kazano\_hiori/้ขจ้็ฏ็น/์นด์๋
ธํ์ค๋ฆฌ (THE iDOLM@STER: SHINY COLORS)
===================================================================
This is the dataset of kazano\_hiori/้ขจ้็ฏ็น/์นด์๋
ธํ์ค๋ฆฌ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'black\_hair, long\_hair, mole, mole\_under\_mouth, bangs, ponytail, 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"
] |
b941180b776f5bf8c1b7db9c52dcd91ff5502e92
|
# Dataset of lillie/ใชใผใชใจ (Pokรฉmon)
This is the dataset of lillie/ใชใผใชใจ (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are `blonde_hair, long_hair, green_eyes, braid, bangs, twin_braids, hat, sun_hat, white_headwear, 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 | 500 | 538.88 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lillie_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 326.22 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lillie_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1197 | 678.41 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lillie_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 483.47 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lillie_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1197 | 929.88 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lillie_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/lillie_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 | 9 |  |  |  |  |  | 1girl, cloud, day, outdoors, sleeveless_dress, solo, white_dress, blue_sky, duffel_bag, sundress, looking_at_viewer, collared_dress, see-through, hand_on_headwear, poke_ball_theme |
| 1 | 5 |  |  |  |  |  | 1girl, bare_arms, duffel_bag, kneehighs, poke_ball_theme, see-through, shoes, sleeveless_dress, solo, sundress, white_dress, closed_mouth, collared_dress, full_body, standing, white_socks, character_name, flower |
| 2 | 5 |  |  |  |  |  | 1girl, duffel_bag, poke_ball_theme, see-through, simple_background, sleeveless_dress, solo, sundress, white_background, white_dress, bare_arms, armpits, collared_dress, kneehighs, open_mouth |
| 3 | 12 |  |  |  |  |  | 1girl, sleeveless_dress, solo, white_background, white_dress, simple_background, sundress, open_mouth, collared_dress, bag, blush, upper_body |
| 4 | 6 |  |  |  |  |  | 1girl, collared_dress, duffel_bag, looking_at_viewer, sleeveless_dress, solo, sundress, white_dress, closed_mouth, see-through, bare_arms, blush, poke_ball_theme |
| 5 | 6 |  |  |  |  |  | 1girl, backpack, looking_at_viewer, pleated_skirt, ponytail, short_sleeves, solo, white_shirt, blush, closed_mouth, eyelashes, simple_background, white_background, white_skirt, clenched_hands, smile, hands_up |
| 6 | 5 |  |  |  |  |  | 1girl, eyelashes, full_body, pleated_skirt, short_sleeves, solo, white_shirt, white_skirt, :d, blush, looking_at_viewer, open_mouth, shoes, simple_background, tongue, white_footwear, white_socks, hand_up, high_ponytail, upper_teeth_only, white_background, hands_up, knees_together_feet_apart, miniskirt, standing |
| 7 | 6 |  |  |  |  |  | 1girl, blue_dress, elbow_gloves, eyelashes, hair_flower, official_alternate_costume, white_gloves, blue_footwear, red_flower, shoes, solo, blue_hairband, closed_mouth, bare_shoulders, full_body, hand_up, hands_up, high_heels, purple_footwear, sleeveless_dress, smile |
| 8 | 6 |  |  |  |  |  | 1girl, day, ocean, outdoors, smile, solo, white_bikini, beach, looking_at_viewer, navel, blush, sarong, sky |
| 9 | 13 |  |  |  |  |  | 1girl, kimono, blush, eyelashes, solo, floral_print, official_alternate_costume, open_mouth, ponytail, wide_sleeves, long_sleeves, :d, hair_flower, holding, obi, new_year |
| 10 | 6 |  |  |  |  |  | 1girl, blush, elbow_gloves, hetero, huge_penis, large_breasts, penis_awe, ponytail, solo_focus, sweat, veiny_penis, white_gloves, open_mouth, white_footwear, 1boy, erection, gloved_handjob, heart, kneeling, nipples, nude, two-handed_handjob, fellatio, horse_penis, pokemon_(creature), tongue, wariza, white_thighhighs |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | cloud | day | outdoors | sleeveless_dress | solo | white_dress | blue_sky | duffel_bag | sundress | looking_at_viewer | collared_dress | see-through | hand_on_headwear | poke_ball_theme | bare_arms | kneehighs | shoes | closed_mouth | full_body | standing | white_socks | character_name | flower | simple_background | white_background | armpits | open_mouth | bag | blush | upper_body | backpack | pleated_skirt | ponytail | short_sleeves | white_shirt | eyelashes | white_skirt | clenched_hands | smile | hands_up | :d | tongue | white_footwear | hand_up | high_ponytail | upper_teeth_only | knees_together_feet_apart | miniskirt | blue_dress | elbow_gloves | hair_flower | official_alternate_costume | white_gloves | blue_footwear | red_flower | blue_hairband | bare_shoulders | high_heels | purple_footwear | ocean | white_bikini | beach | navel | sarong | sky | kimono | floral_print | wide_sleeves | long_sleeves | holding | obi | new_year | hetero | huge_penis | large_breasts | penis_awe | solo_focus | sweat | veiny_penis | 1boy | erection | gloved_handjob | heart | kneeling | nipples | nude | two-handed_handjob | fellatio | horse_penis | pokemon_(creature) | wariza | white_thighhighs |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------|:------|:-----------|:-------------------|:-------|:--------------|:-----------|:-------------|:-----------|:--------------------|:-----------------|:--------------|:-------------------|:------------------|:------------|:------------|:--------|:---------------|:------------|:-----------|:--------------|:-----------------|:---------|:--------------------|:-------------------|:----------|:-------------|:------|:--------|:-------------|:-----------|:----------------|:-----------|:----------------|:--------------|:------------|:--------------|:-----------------|:--------|:-----------|:-----|:---------|:-----------------|:----------|:----------------|:-------------------|:----------------------------|:------------|:-------------|:---------------|:--------------|:-----------------------------|:---------------|:----------------|:-------------|:----------------|:-----------------|:-------------|:------------------|:--------|:---------------|:--------|:--------|:---------|:------|:---------|:---------------|:---------------|:---------------|:----------|:------|:-----------|:---------|:-------------|:----------------|:------------|:-------------|:--------|:--------------|:-------|:-----------|:-----------------|:--------|:-----------|:----------|:-------|:---------------------|:-----------|:--------------|:---------------------|:---------|:-------------------|
| 0 | 9 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 6 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 6 |  |  |  |  |  | X | | | | X | X | | | | | | | | | | | | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 13 |  |  |  |  |  | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | 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 | X | X | X | X | X | X |
|
CyberHarem/lillie_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T08:26:27+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T16:20:35+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of lillie/ใชใผใชใจ (Pokรฉmon)
================================
This is the dataset of lillie/ใชใผใชใจ (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are 'blonde\_hair, long\_hair, green\_eyes, braid, bangs, twin\_braids, hat, sun\_hat, white\_headwear, 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"
] |
9e3b372a91084ce772e0d6e3333ca8605842c9f2
|
# Dataset of jing_ke/่่ปป/่่ฝฒ (Fate/Grand Order)
This is the dataset of jing_ke/่่ปป/่่ฝฒ (Fate/Grand Order), containing 122 images and their tags.
The core tags of this character are `long_hair, black_hair, bangs, earrings, ponytail, blue_eyes, hair_ornament, breasts, hair_flower, green_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 | 122 | 88.02 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jing_ke_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 122 | 60.43 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jing_ke_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 200 | 103.11 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jing_ke_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 122 | 80.44 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jing_ke_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 200 | 132.37 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jing_ke_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/jing_ke_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 | 23 |  |  |  |  |  | 1girl, hanfu, looking_at_viewer, solo, smile, jewelry, wide_sleeves, long_sleeves, simple_background, holding, sash, nail_polish, white_background, white_flower, closed_mouth, ribbon, upper_body |
| 1 | 5 |  |  |  |  |  | 1girl, flower, sandals, solo, hanfu, knife, toenail_polish, weapon, full_body, sash, simple_background, white_background |
| 2 | 13 |  |  |  |  |  | 1girl, looking_at_viewer, solo, jewelry, smile, bare_shoulders, blue_nails, navel, white_bikini, blue_hair, nail_polish, drinking_glass, holding_cup |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | hanfu | looking_at_viewer | solo | smile | jewelry | wide_sleeves | long_sleeves | simple_background | holding | sash | nail_polish | white_background | white_flower | closed_mouth | ribbon | upper_body | flower | sandals | knife | toenail_polish | weapon | full_body | bare_shoulders | blue_nails | navel | white_bikini | blue_hair | drinking_glass | holding_cup |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:--------------------|:-------|:--------|:----------|:---------------|:---------------|:--------------------|:----------|:-------|:--------------|:-------------------|:---------------|:---------------|:---------|:-------------|:---------|:----------|:--------|:-----------------|:---------|:------------|:-----------------|:-------------|:--------|:---------------|:------------|:-----------------|:--------------|
| 0 | 23 |  |  |  |  |  | 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 | | | | | | | |
| 2 | 13 |  |  |  |  |  | X | | X | X | X | X | | | | | | X | | | | | | | | | | | | X | X | X | X | X | X | X |
|
CyberHarem/jing_ke_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T08:35:15+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-13T03:08:28+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of jing\_ke/่่ปป/่่ฝฒ (Fate/Grand Order)
============================================
This is the dataset of jing\_ke/่่ปป/่่ฝฒ (Fate/Grand Order), containing 122 images and their tags.
The core tags of this character are 'long\_hair, black\_hair, bangs, earrings, ponytail, blue\_eyes, hair\_ornament, breasts, hair\_flower, green\_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"
] |
9b2faa71cc7ff8b60d09bb76ade6ef76ebffa791
|
# Dataset Card for "birds_animals_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/birds_animals_prompts
|
[
"region:us"
] |
2023-09-10T08:42:38+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 31156163, "num_examples": 100000}], "download_size": 4673824, "dataset_size": 31156163}}
|
2023-09-10T08:49:44+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "birds_animals_prompts"
More Information needed
|
[
"# Dataset Card for \"birds_animals_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"birds_animals_prompts\"\n\nMore Information needed"
] |
[
6,
19
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"birds_animals_prompts\"\n\nMore Information needed"
] |
d5cf2c932efcadd2290863436297cf7bc81b8def
|
# Dataset Card for "islamic_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/islamic_prompts
|
[
"region:us"
] |
2023-09-10T08:50:48+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1500926, "num_examples": 5000}], "download_size": 189732, "dataset_size": 1500926}}
|
2023-09-15T12:17:34+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "islamic_prompts"
More Information needed
|
[
"# Dataset Card for \"islamic_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"islamic_prompts\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"islamic_prompts\"\n\nMore Information needed"
] |
29a16dcd9f0ca829e883cace112f5f5c981d21f0
|
# Dataset Card for "arabic_modern_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/arabic_modern_prompts
|
[
"region:us"
] |
2023-09-10T09:09:27+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 44164932, "num_examples": 100000}], "download_size": 4499641, "dataset_size": 44164932}}
|
2023-09-10T09:09:29+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "arabic_modern_prompts"
More Information needed
|
[
"# Dataset Card for \"arabic_modern_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"arabic_modern_prompts\"\n\nMore Information needed"
] |
[
6,
18
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"arabic_modern_prompts\"\n\nMore Information needed"
] |
9e8835d1b00bf284686ede2303cc32c75cb7e495
|
# Dataset of mata_hari/ใใฟใปใใช/็ๅกยทๅไธฝ (Fate/Grand Order)
This is the dataset of mata_hari/ใใฟใปใใช/็ๅกยทๅไธฝ (Fate/Grand Order), containing 101 images and their tags.
The core tags of this character are `long_hair, breasts, brown_hair, large_breasts, hair_ornament, hair_flower, earrings, blue_eyes, hoop_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 | 101 | 135.76 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mata_hari_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 101 | 83.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mata_hari_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 249 | 173.28 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mata_hari_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 101 | 122.98 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mata_hari_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 249 | 232.19 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mata_hari_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/mata_hari_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 | 9 |  |  |  |  |  | 1girl, cleavage, crop_top, jewelry, looking_at_viewer, midriff, navel, puffy_short_sleeves, smile, solo, stomach, choker, collarbone, dancer, orange_shirt, red_flower, closed_mouth, blush, frills, orange_skirt, arm_up, grey_eyes, groin |
| 1 | 6 |  |  |  |  |  | 1girl, cleavage, flower, jewelry, looking_at_viewer, midriff, navel, solo, dancer, open_mouth, veil, :d, blush |
| 2 | 7 |  |  |  |  |  | 1boy, 1girl, blush, hetero, jewelry, paizuri, penis, smile, flower, nipples, solo_focus, breasts_squeezed_together, choker, open_mouth, censored, sweat, cum_on_breasts, huge_breasts, looking_at_viewer |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | cleavage | crop_top | jewelry | looking_at_viewer | midriff | navel | puffy_short_sleeves | smile | solo | stomach | choker | collarbone | dancer | orange_shirt | red_flower | closed_mouth | blush | frills | orange_skirt | arm_up | grey_eyes | groin | flower | open_mouth | veil | :d | 1boy | hetero | paizuri | penis | nipples | solo_focus | breasts_squeezed_together | censored | sweat | cum_on_breasts | huge_breasts |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------|:-----------|:----------|:--------------------|:----------|:--------|:----------------------|:--------|:-------|:----------|:---------|:-------------|:---------|:---------------|:-------------|:---------------|:--------|:---------|:---------------|:---------|:------------|:--------|:---------|:-------------|:-------|:-----|:-------|:---------|:----------|:--------|:----------|:-------------|:----------------------------|:-----------|:--------|:-----------------|:---------------|
| 0 | 9 |  |  |  |  |  | X | 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 | | | | | | | | | | | |
| 2 | 7 |  |  |  |  |  | X | | | X | X | | | | X | | | X | | | | | | X | | | | | | X | X | | | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/mata_hari_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T09:13:27+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T23:48:42+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of mata\_hari/ใใฟใปใใช/็ๅกยทๅไธฝ (Fate/Grand Order)
====================================================
This is the dataset of mata\_hari/ใใฟใปใใช/็ๅกยทๅไธฝ (Fate/Grand Order), containing 101 images and their tags.
The core tags of this character are 'long\_hair, breasts, brown\_hair, large\_breasts, hair\_ornament, hair\_flower, earrings, blue\_eyes, hoop\_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"
] |
495c49f3674baafdfb54ca715feea24c9529d133
|
# Dataset Card for "job_listing_german_cleaned_bert"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
serbog/job_listing_german_cleaned_bert
|
[
"region:us"
] |
2023-09-10T09:29:28+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "eval", "path": "data/eval-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "cleaned_description", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "C1", "dtype": "int64"}, {"name": "C2", "dtype": "int64"}, {"name": "C3", "dtype": "int64"}, {"name": "C4", "dtype": "int64"}, {"name": "C5", "dtype": "int64"}, {"name": "C6", "dtype": "int64"}, {"name": "C7", "dtype": "int64"}, {"name": "C8", "dtype": "int64"}, {"name": "C9", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1119693900, "num_examples": 509834}, {"name": "eval", "num_bytes": 261886055, "num_examples": 104864}, {"name": "test", "num_bytes": 234468000, "num_examples": 102796}], "download_size": 670254315, "dataset_size": 1616047955}}
|
2023-09-10T09:30:11+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "job_listing_german_cleaned_bert"
More Information needed
|
[
"# Dataset Card for \"job_listing_german_cleaned_bert\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"job_listing_german_cleaned_bert\"\n\nMore Information needed"
] |
[
6,
23
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"job_listing_german_cleaned_bert\"\n\nMore Information needed"
] |
b2d6b577d2c27e8475cb60acb8d90ba2663af183
|
# Dataset of sakuragi_mano/ๆซปๆจ็ไน (THE iDOLM@STER: SHINY COLORS)
This is the dataset of sakuragi_mano/ๆซปๆจ็ไน (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `brown_eyes, bangs, light_brown_hair, brown_hair, breasts, medium_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 | 767.96 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sakuragi_mano_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 416.88 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sakuragi_mano_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1187 | 871.78 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sakuragi_mano_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 671.64 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sakuragi_mano_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1187 | 1.26 GiB | [Download](https://huggingface.co/datasets/CyberHarem/sakuragi_mano_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/sakuragi_mano_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 | 78 |  |  |  |  |  | 1girl, long_sleeves, serafuku, looking_at_viewer, blush, solo, plaid_skirt, pleated_skirt, black_shirt, white_sailor_collar, smile, simple_background, white_background, long_hair, open_mouth, plaid_bowtie, blue_bow |
| 1 | 7 |  |  |  |  |  | 1girl, blush, looking_at_viewer, open_mouth, solo, white_gloves, :d, long_hair, hair_ornament, white_background, white_dress, simple_background |
| 2 | 7 |  |  |  |  |  | 1girl, blush, collarbone, looking_at_viewer, navel, simple_background, solo, white_background, cleavage, large_breasts, cowboy_shot, frilled_bikini, hair_ornament, smile |
| 3 | 6 |  |  |  |  |  | 1girl, blush, cleavage, collarbone, looking_at_viewer, solo, bikini, navel, open_mouth, thighs, hairclip, outdoors, smile, wet, bare_shoulders, beach, large_breasts, ocean, one_eye_closed, water |
| 4 | 8 |  |  |  |  |  | 1girl, blush, collarbone, looking_at_viewer, solo, completely_nude, large_breasts, navel, sweat, nipples, long_hair, on_bed, censored, covering_breasts, lying, pussy |
| 5 | 6 |  |  |  |  |  | 1boy, 1girl, blush, hetero, open_mouth, sex, solo_focus, vaginal, completely_nude, navel, nipples, penis, pussy, female_pubic_hair, girl_on_top, looking_at_viewer, spread_legs, bar_censor, heart, reverse_cowgirl_position, swept_bangs |
| 6 | 8 |  |  |  |  |  | 1boy, 1girl, blush, large_breasts, penis, solo_focus, breasts_squeezed_together, closed_mouth, long_hair, looking_at_viewer, mosaic_censoring, nipples, pov, collarbone, nude, swept_bangs, upper_body, paizuri_under_clothes, shirt, simple_background |
| 7 | 6 |  |  |  |  |  | 1girl, looking_at_viewer, mini_hat, open_mouth, pink_skirt, solo, wrist_cuffs, :d, blush, long_hair, white_headwear, feathers, holding_microphone, puffy_short_sleeves, shirt, bow, simple_background, tilted_headwear, white_background |
| 8 | 8 |  |  |  |  |  | 1girl, solo, hairclip, long_sleeves, looking_at_viewer, blush, jacket, open_mouth, smile, beret, black_headwear, blurry, bag, earrings, skirt, black_sweater, necklace, outdoors, plaid_dress, turtleneck_sweater |
| 9 | 7 |  |  |  |  |  | hairband, star_(symbol), 1girl, frills, looking_at_viewer, solo, white_gloves, blush, dress, earrings, hair_ribbon, smile, cleavage, cloud, see-through, star_(sky), feathers, hair_flower, open_mouth, outdoors, own_hands_together, purple_ribbon, skirt, upper_body |
| 10 | 7 |  |  |  |  |  | 1girl, blush, detached_collar, fake_animal_ears, rabbit_ears, solo, wrist_cuffs, bare_shoulders, looking_at_viewer, playboy_bunny, simple_background, strapless_leotard, white_background, rabbit_tail, cleavage, cowboy_shot, fake_tail, fishnet_pantyhose, large_breasts, nipples, open_mouth, yellow_bowtie |
| 11 | 5 |  |  |  |  |  | 1girl, blush, crop_top, elbow_gloves, looking_at_viewer, smile, solo, white_gloves, midriff, ribbon, bare_shoulders, black_hairband, closed_mouth, frilled_skirt, red_headwear, simple_background, tilted_headwear, white_background, cleavage_cutout, holding, kneehighs, large_breasts, mini_top_hat, navel, plaid_skirt, red_flower, red_skirt, short_hair, sleeveless, stomach, swept_bangs |
| 12 | 6 |  |  |  |  |  | center_frills, hair_flower, white_shirt, 1girl, black_cape, black_skirt, fang, frilled_shirt, looking_at_viewer, open_mouth, solo, white_gloves, blush, halloween, high-waist_skirt, long_hair, puffy_short_sleeves, red_rose, star_(symbol), :o, garter_straps, red_eyes, thighhighs |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | long_sleeves | serafuku | looking_at_viewer | blush | solo | plaid_skirt | pleated_skirt | black_shirt | white_sailor_collar | smile | simple_background | white_background | long_hair | open_mouth | plaid_bowtie | blue_bow | white_gloves | :d | hair_ornament | white_dress | collarbone | navel | cleavage | large_breasts | cowboy_shot | frilled_bikini | bikini | thighs | hairclip | outdoors | wet | bare_shoulders | beach | ocean | one_eye_closed | water | completely_nude | sweat | nipples | on_bed | censored | covering_breasts | lying | pussy | 1boy | hetero | sex | solo_focus | vaginal | penis | female_pubic_hair | girl_on_top | spread_legs | bar_censor | heart | reverse_cowgirl_position | swept_bangs | breasts_squeezed_together | closed_mouth | mosaic_censoring | pov | nude | upper_body | paizuri_under_clothes | shirt | mini_hat | pink_skirt | wrist_cuffs | white_headwear | feathers | holding_microphone | puffy_short_sleeves | bow | tilted_headwear | jacket | beret | black_headwear | blurry | bag | earrings | skirt | black_sweater | necklace | plaid_dress | turtleneck_sweater | hairband | star_(symbol) | frills | dress | hair_ribbon | cloud | see-through | star_(sky) | hair_flower | own_hands_together | purple_ribbon | detached_collar | fake_animal_ears | rabbit_ears | playboy_bunny | strapless_leotard | rabbit_tail | fake_tail | fishnet_pantyhose | yellow_bowtie | crop_top | elbow_gloves | midriff | ribbon | black_hairband | frilled_skirt | red_headwear | cleavage_cutout | holding | kneehighs | mini_top_hat | red_flower | red_skirt | short_hair | sleeveless | stomach | center_frills | white_shirt | black_cape | black_skirt | fang | frilled_shirt | halloween | high-waist_skirt | red_rose | :o | garter_straps | red_eyes | thighhighs |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:---------------|:-----------|:--------------------|:--------|:-------|:--------------|:----------------|:--------------|:----------------------|:--------|:--------------------|:-------------------|:------------|:-------------|:---------------|:-----------|:---------------|:-----|:----------------|:--------------|:-------------|:--------|:-----------|:----------------|:--------------|:-----------------|:---------|:---------|:-----------|:-----------|:------|:-----------------|:--------|:--------|:-----------------|:--------|:------------------|:--------|:----------|:---------|:-----------|:-------------------|:--------|:--------|:-------|:---------|:------|:-------------|:----------|:--------|:--------------------|:--------------|:--------------|:-------------|:--------|:---------------------------|:--------------|:----------------------------|:---------------|:-------------------|:------|:-------|:-------------|:------------------------|:--------|:-----------|:-------------|:--------------|:-----------------|:-----------|:---------------------|:----------------------|:------|:------------------|:---------|:--------|:-----------------|:---------|:------|:-----------|:--------|:----------------|:-----------|:--------------|:---------------------|:-----------|:----------------|:---------|:--------|:--------------|:--------|:--------------|:-------------|:--------------|:---------------------|:----------------|:------------------|:-------------------|:--------------|:----------------|:--------------------|:--------------|:------------|:--------------------|:----------------|:-----------|:---------------|:----------|:---------|:-----------------|:----------------|:---------------|:------------------|:----------|:------------|:---------------|:-------------|:------------|:-------------|:-------------|:----------|:----------------|:--------------|:-------------|:--------------|:-------|:----------------|:------------|:-------------------|:-----------|:-----|:----------------|:-----------|:-------------|
| 0 | 78 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 7 |  |  |  |  |  | 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 | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 8 |  |  |  |  |  | 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 | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 8 |  |  |  |  |  | X | | | 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 | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 8 |  |  |  |  |  | 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 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 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 | 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 | X | X |
|
CyberHarem/sakuragi_mano_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T09:40:32+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T07:29:02+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of sakuragi\_mano/ๆซปๆจ็ไน (THE iDOLM@STER: SHINY COLORS)
=============================================================
This is the dataset of sakuragi\_mano/ๆซปๆจ็ไน (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'brown\_eyes, bangs, light\_brown\_hair, brown\_hair, breasts, medium\_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"
] |
0a01dc81a975942b6bb29252dd7183c8dfacb5aa
|
# Dataset Card for "random_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/random_prompts
|
[
"region:us"
] |
2023-09-10T09:41:51+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 27245594, "num_examples": 100000}], "download_size": 4512640, "dataset_size": 27245594}}
|
2023-09-10T11:38:07+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "random_prompts"
More Information needed
|
[
"# Dataset Card for \"random_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"random_prompts\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"random_prompts\"\n\nMore Information needed"
] |
2a0e85451bcf652d13e1713045735595d21a10ce
|
The Moji dataset (Blodgett et al., 2016) (http://slanglab.cs.umass.edu/TwitterAAE/) contains tweets used for sentiment analysis (either positive or negative sentiment), with additional information on the type of English used in the tweets which is a sensitive attribute considered in fairness-aware approaches (African-American English (AAE) or Standard-American English (SAE)).
The type of language is determined thanks to a supervised model. Only the data
where the sensitive attribute is predicted with a certainty rate above a given threshold are kept.
Based on this principle we make available two versions of the Moji dataset,
respectively with a threshold of 80% and of 90%. The dataset's distributions are presented below.
### Dataset with 80% threshold
| | Positive sentiment | Negative Sentiment | Total |
|---|---|---|---|
AAE | 73 013 | 44 023 | 117 036 |
SAE | 1 471 427 | 652 913 | 2 124 340 |
Total | 1 544 440 | 696 936 | 2 241 376 |
To load this dataset, use the following code :
```python
dataset = load_dataset("LabHC/moji", revision='moji_conf_08')
```
or by default the version is the dataset with 80% threshold
```python
dataset = load_dataset("LabHC/moji")
```
### Dataset with 90% threshold
| | Positive sentiment | Negative Sentiment | Total |
|---|---|---|---|
AAE | 30 827 | 18 409 | 49 236 |
SAE | 793 867 | 351 600 | 1 145 467 |
Total | 824 694 | 370 009 | 1 194 703 |
To load this dataset, use the following code :
```python
dataset = load_dataset("LabHC/moji", revision='moji_conf_09')
```
----
[Demographic Dialectal Variation in Social Media: A Case Study of African-American English](https://aclanthology.org/D16-1120) (Blodgett et al., EMNLP 2016)
|
LabHC/moji
|
[
"task_categories:text-classification",
"language:en",
"region:us"
] |
2023-09-10T09:47:11+00:00
|
{"language": ["en"], "task_categories": ["text-classification"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "sa", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 128596235, "num_examples": 1613790}, {"name": "test", "num_bytes": 35731728, "num_examples": 448276}, {"name": "dev", "num_bytes": 14325121, "num_examples": 179310}], "download_size": 93470968, "dataset_size": 178653084}}
|
2023-09-28T08:12:22+00:00
|
[] |
[
"en"
] |
TAGS
#task_categories-text-classification #language-English #region-us
|
The Moji dataset (Blodgett et al., 2016) (URL contains tweets used for sentiment analysis (either positive or negative sentiment), with additional information on the type of English used in the tweets which is a sensitive attribute considered in fairness-aware approaches (African-American English (AAE) or Standard-American English (SAE)).
The type of language is determined thanks to a supervised model. Only the data
where the sensitive attribute is predicted with a certainty rate above a given threshold are kept.
Based on this principle we make available two versions of the Moji dataset,
respectively with a threshold of 80% and of 90%. The dataset's distributions are presented below.
### Dataset with 80% threshold
To load this dataset, use the following code :
or by default the version is the dataset with 80% threshold
### Dataset with 90% threshold
To load this dataset, use the following code :
---
Demographic Dialectal Variation in Social Media: A Case Study of African-American English (Blodgett et al., EMNLP 2016)
|
[
"### Dataset with 80% threshold\n\n\n\nTo load this dataset, use the following code :\n\n\nor by default the version is the dataset with 80% threshold",
"### Dataset with 90% threshold\n\n\n\nTo load this dataset, use the following code :\n\n\n\n\n---\n\n\nDemographic Dialectal Variation in Social Media: A Case Study of African-American English (Blodgett et al., EMNLP 2016)"
] |
[
"TAGS\n#task_categories-text-classification #language-English #region-us \n",
"### Dataset with 80% threshold\n\n\n\nTo load this dataset, use the following code :\n\n\nor by default the version is the dataset with 80% threshold",
"### Dataset with 90% threshold\n\n\n\nTo load this dataset, use the following code :\n\n\n\n\n---\n\n\nDemographic Dialectal Variation in Social Media: A Case Study of African-American English (Blodgett et al., EMNLP 2016)"
] |
[
21,
34,
53
] |
[
"passage: TAGS\n#task_categories-text-classification #language-English #region-us \n### Dataset with 80% threshold\n\n\n\nTo load this dataset, use the following code :\n\n\nor by default the version is the dataset with 80% threshold### Dataset with 90% threshold\n\n\n\nTo load this dataset, use the following code :\n\n\n\n\n---\n\n\nDemographic Dialectal Variation in Social Media: A Case Study of African-American English (Blodgett et al., EMNLP 2016)"
] |
59a02e3efe53c4badb46fb75995e2efa9ad53ae5
|
# Dataset of hikari/ใใซใช (Pokรฉmon)
This is the dataset of hikari/ใใซใช (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are `long_hair, hat, hair_ornament, white_headwear, blue_eyes, hairclip, blue_hair, eyelashes, black_hair, 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 | 523.13 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hikari_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 310.13 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hikari_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1163 | 634.61 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hikari_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 470.13 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hikari_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1163 | 870.32 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hikari_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/hikari_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 | 5 |  |  |  |  |  | 1girl, blush, navel, nipples, nude, small_breasts, solo, white_background, beanie, closed_mouth, simple_background, collarbone, looking_at_viewer, grey_eyes, heart, sidelocks, smile, upper_body |
| 1 | 6 |  |  |  |  |  | 1girl, black_shirt, red_scarf, simple_background, sleeveless_shirt, solo, upper_body, beanie, looking_at_viewer, white_background, :d, open_mouth, blush |
| 2 | 6 |  |  |  |  |  | 1girl, beanie, black_shirt, pink_footwear, red_scarf, sleeveless_shirt, solo, :d, black_socks, boots, bracelet, full_body, grey_eyes, looking_at_viewer, open_mouth, over-kneehighs, pink_skirt, tongue, blush, simple_background, black_thighhighs, floating_hair, floating_scarf, knees, standing, teeth, white_background |
| 3 | 17 |  |  |  |  |  | 1girl, beanie, sleeveless_shirt, solo, black_shirt, looking_at_viewer, poke_ball_(basic), red_scarf, holding_poke_ball, pink_skirt, smile, blush, closed_mouth, bracelet, cowboy_shot, miniskirt, grey_eyes, poke_ball_print, wristwatch |
| 4 | 7 |  |  |  |  |  | 1girl, beanie, black_shirt, black_socks, boots, kneehighs, pink_footwear, pink_skirt, sleeveless_shirt, blush, closed_mouth, looking_at_viewer, red_scarf, smile, grey_eyes, pokemon_(creature), bracelet, solo |
| 5 | 6 |  |  |  |  |  | 1girl, beanie, solo, simple_background, skirt, red_scarf |
| 6 | 21 |  |  |  |  |  | 1girl, beanie, long_sleeves, white_scarf, red_coat, solo, white_bag, boots, looking_at_viewer, pink_footwear, duffel_bag, grey_eyes, white_background, open_mouth, over-kneehighs, smile, winter_clothes, simple_background, white_thighhighs, blush, holding_poke_ball, poke_ball_(basic), standing |
| 7 | 5 |  |  |  |  |  | 1girl, beanie, coat, solo, winter_clothes, alternate_costume, white_scarf, boots, pink_footwear, bag, thighhighs |
| 8 | 6 |  |  |  |  |  | 1girl, beanie, blush, long_sleeves, looking_at_viewer, red_coat, white_scarf, winter_clothes, solo, upper_body, breath, grey_eyes |
| 9 | 6 |  |  |  |  |  | 1girl, blush, solo, ass, beanie, day, from_behind, looking_at_viewer, nipples, outdoors, shiny_skin, beach, blue_sky, cloud, completely_nude, grin, large_breasts, looking_back, ocean, sand, alternate_breast_size, presenting, puckered_anus, pussy, sweat, thighs, water |
| 10 | 13 |  |  |  |  |  | 1girl, beanie, cosplay, elbow_gloves, navel, solo, team_rocket_uniform, black_gloves, cropped_jacket, midriff, white_jacket, open_mouth, logo, looking_at_viewer, tongue, white_background, white_skirt, simple_background, :d, grey_eyes, thighhighs |
| 11 | 9 |  |  |  |  |  | 1boy, 1girl, blush, hetero, nipples, nude, penis, navel, sex, shiny_skin, spread_legs, collarbone, open_mouth, tongue, vaginal, beanie, sidelocks, outdoors, pussy, raised_eyebrows, grass, mosaic_censoring, on_back, sweat |
| 12 | 12 |  |  |  |  |  | 1girl, 1boy, beanie, blush, hetero, pussy, nipples, open_mouth, penis, solo_focus, nude, uncensored, vaginal, spread_legs, navel, cum, large_breasts, sex_from_behind, skirt, tongue_out |
| 13 | 6 |  |  |  |  |  | 1girl, official_alternate_costume, short_sleeves, apron, chef_hat, open_mouth, oven_mitts, red_mittens, buttons, grey_eyes, red_dress, sidelocks, solo, tongue, blush, looking_at_viewer, shiny, smile |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | blush | navel | nipples | nude | small_breasts | solo | white_background | beanie | closed_mouth | simple_background | collarbone | looking_at_viewer | grey_eyes | heart | sidelocks | smile | upper_body | black_shirt | red_scarf | sleeveless_shirt | :d | open_mouth | pink_footwear | black_socks | boots | bracelet | full_body | over-kneehighs | pink_skirt | tongue | black_thighhighs | floating_hair | floating_scarf | knees | standing | teeth | poke_ball_(basic) | holding_poke_ball | cowboy_shot | miniskirt | poke_ball_print | wristwatch | kneehighs | pokemon_(creature) | skirt | long_sleeves | white_scarf | red_coat | white_bag | duffel_bag | winter_clothes | white_thighhighs | coat | alternate_costume | bag | thighhighs | breath | ass | day | from_behind | outdoors | shiny_skin | beach | blue_sky | cloud | completely_nude | grin | large_breasts | looking_back | ocean | sand | alternate_breast_size | presenting | puckered_anus | pussy | sweat | thighs | water | cosplay | elbow_gloves | team_rocket_uniform | black_gloves | cropped_jacket | midriff | white_jacket | logo | white_skirt | 1boy | hetero | penis | sex | spread_legs | vaginal | raised_eyebrows | grass | mosaic_censoring | on_back | solo_focus | uncensored | cum | sex_from_behind | tongue_out | official_alternate_costume | short_sleeves | apron | chef_hat | oven_mitts | red_mittens | buttons | red_dress | shiny |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------|:--------|:----------|:-------|:----------------|:-------|:-------------------|:---------|:---------------|:--------------------|:-------------|:--------------------|:------------|:--------|:------------|:--------|:-------------|:--------------|:------------|:-------------------|:-----|:-------------|:----------------|:--------------|:--------|:-----------|:------------|:-----------------|:-------------|:---------|:-------------------|:----------------|:-----------------|:--------|:-----------|:--------|:--------------------|:--------------------|:--------------|:------------|:------------------|:-------------|:------------|:---------------------|:--------|:---------------|:--------------|:-----------|:------------|:-------------|:-----------------|:-------------------|:-------|:--------------------|:------|:-------------|:---------|:------|:------|:--------------|:-----------|:-------------|:--------|:-----------|:--------|:------------------|:-------|:----------------|:---------------|:--------|:-------|:------------------------|:-------------|:----------------|:--------|:--------|:---------|:--------|:----------|:---------------|:----------------------|:---------------|:-----------------|:----------|:---------------|:-------|:--------------|:-------|:---------|:--------|:------|:--------------|:----------|:------------------|:--------|:-------------------|:----------|:-------------|:-------------|:------|:------------------|:-------------|:-----------------------------|:----------------|:--------|:-----------|:-------------|:--------------|:----------|:------------|:--------|
| 0 | 5 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 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 | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 17 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 6 |  |  |  |  |  | X | | | | | | X | | X | | X | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 21 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 6 |  |  |  |  |  | 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 | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 13 |  |  |  |  |  | X | | X | | | | 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 | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | |
| 12 | 12 |  |  |  |  |  | X | X | X | X | X | | | | X | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | X | | | | | | | | | | | | | X | X | X | | X | X | | | | | X | X | X | X | X | | | | | | | | | |
| 13 | 6 |  |  |  |  |  | X | X | | | | | X | | | | | | X | X | | X | X | | | | | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X |
|
CyberHarem/hikari_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T09:55:56+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T16:49:22+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of hikari/ใใซใช (Pokรฉmon)
===============================
This is the dataset of hikari/ใใซใช (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are 'long\_hair, hat, hair\_ornament, white\_headwear, blue\_eyes, hairclip, blue\_hair, eyelashes, black\_hair, 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"
] |
acd35edb346b71c1db0e930229381525a88f487d
|
# Dataset Card for "llm_data_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
vphu123/llm_data_3
|
[
"region:us"
] |
2023-09-10T09:58:34+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 155590, "num_examples": 108}], "download_size": 47360, "dataset_size": 155590}}
|
2023-09-10T09:58:36+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "llm_data_3"
More Information needed
|
[
"# Dataset Card for \"llm_data_3\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"llm_data_3\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"llm_data_3\"\n\nMore Information needed"
] |
680145c5d78ec94daf4a2c0a7d0f169c1ab0d6bb
|
# Dataset Card for "gia-dataset-parquet-debug"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
edbeeching/gia-dataset-parquet-debug
|
[
"region:us"
] |
2023-09-10T10:11:29+00:00
|
{"dataset_info": [{"config_name": "atari-alien", "features": [{"name": "image_observations", "sequence": "image"}, {"name": "rewards", "sequence": "float32"}, {"name": "discrete_actions", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 26566416.0, "num_examples": 2}, {"name": "train", "num_bytes": 22539851.0, "num_examples": 2}], "download_size": 49578302, "dataset_size": 49106267.0}, {"config_name": "atari-breakout", "features": [{"name": "image_observations", "sequence": "image"}, {"name": "rewards", "sequence": "float32"}, {"name": "discrete_actions", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 17689596.0, "num_examples": 2}, {"name": "train", "num_bytes": 9524039.0, "num_examples": 2}], "download_size": 25423698, "dataset_size": 27213635.0}, {"config_name": "mujoco-ant", "features": [{"name": "continuous_observations", "sequence": {"sequence": "float32", "length": 27}}, {"name": "continuous_actions", "sequence": {"sequence": "float32", "length": 8}}, {"name": "rewards", "sequence": "float32"}], "splits": [{"name": "test", "num_bytes": 288024, "num_examples": 2}, {"name": "train", "num_bytes": 288024, "num_examples": 2}], "download_size": 858378, "dataset_size": 576048}], "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-*"}]}]}
|
2023-09-10T18:33:32+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "gia-dataset-parquet-debug"
More Information needed
|
[
"# Dataset Card for \"gia-dataset-parquet-debug\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"gia-dataset-parquet-debug\"\n\nMore Information needed"
] |
[
6,
20
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"gia-dataset-parquet-debug\"\n\nMore Information needed"
] |
1a694ea9b9e4175a6269c0f4624251c752b78e5d
|
# Dataset of carmilla/ใซใผใใฉ/ๅก็ฑณๆ (Fate/Grand Order)
This is the dataset of carmilla/ใซใผใใฉ/ๅก็ฑณๆ (Fate/Grand Order), containing 212 images and their tags.
The core tags of this character are `breasts, long_hair, large_breasts, yellow_eyes, white_hair, bangs, curly_hair, sunglasses`, 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 | 212 | 310.81 MiB | [Download](https://huggingface.co/datasets/CyberHarem/carmilla_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 212 | 168.19 MiB | [Download](https://huggingface.co/datasets/CyberHarem/carmilla_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 525 | 365.82 MiB | [Download](https://huggingface.co/datasets/CyberHarem/carmilla_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 212 | 272.30 MiB | [Download](https://huggingface.co/datasets/CyberHarem/carmilla_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 525 | 516.84 MiB | [Download](https://huggingface.co/datasets/CyberHarem/carmilla_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/carmilla_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 | 32 |  |  |  |  |  | 1girl, solo, cleavage, looking_at_viewer, black_bikini, choker, eyewear_on_head, thighs, see-through, navel, smile, bracelet, collarbone, red_eyes, sitting |
| 1 | 9 |  |  |  |  |  | 1girl, long_fingernails, looking_at_viewer, ponytail, solo, cleavage, red_bikini, bracelet, navel, sitting, beach, cloud, day, grey_hair, outdoors, sarong, sky, ascot, nail_polish, ocean, thighs |
| 2 | 23 |  |  |  |  |  | 1girl, solo, long_fingernails, looking_at_viewer, nail_polish, cleavage, horns, sharp_fingernails, smile, navel, blue_nails, detached_sleeves |
| 3 | 7 |  |  |  |  |  | 1girl, bikini_armor, cleavage, cosplay, looking_at_viewer, pauldrons, red_armor, silver_trim, solo, blush, horns, navel, tiara, red_bikini, white_cape, black_thighhighs, simple_background, collarbone, gloves, long_fingernails, open_mouth, white_background |
| 4 | 7 |  |  |  |  |  | 1girl, solo, necklace, black_footwear, black_gloves, looking_at_viewer, simple_background, smile, turtleneck_sweater, white_background, red_coat, ribbed_sweater, thigh_boots, thighhighs, black_skirt, open_coat, pantyhose, sitting |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | cleavage | looking_at_viewer | black_bikini | choker | eyewear_on_head | thighs | see-through | navel | smile | bracelet | collarbone | red_eyes | sitting | long_fingernails | ponytail | red_bikini | beach | cloud | day | grey_hair | outdoors | sarong | sky | ascot | nail_polish | ocean | horns | sharp_fingernails | blue_nails | detached_sleeves | bikini_armor | cosplay | pauldrons | red_armor | silver_trim | blush | tiara | white_cape | black_thighhighs | simple_background | gloves | open_mouth | white_background | necklace | black_footwear | black_gloves | turtleneck_sweater | red_coat | ribbed_sweater | thigh_boots | thighhighs | black_skirt | open_coat | pantyhose |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:-----------|:--------------------|:---------------|:---------|:------------------|:---------|:--------------|:--------|:--------|:-----------|:-------------|:-----------|:----------|:-------------------|:-----------|:-------------|:--------|:--------|:------|:------------|:-----------|:---------|:------|:--------|:--------------|:--------|:--------|:--------------------|:-------------|:-------------------|:---------------|:----------|:------------|:------------|:--------------|:--------|:--------|:-------------|:-------------------|:--------------------|:---------|:-------------|:-------------------|:-----------|:-----------------|:---------------|:---------------------|:-----------|:-----------------|:--------------|:-------------|:--------------|:------------|:------------|
| 0 | 32 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 23 |  |  |  |  |  | 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 | | | | | | | | | | | |
| 4 | 7 |  |  |  |  |  | X | X | | X | | | | | | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/carmilla_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T10:45:08+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T16:28:27+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of carmilla/ใซใผใใฉ/ๅก็ฑณๆ (Fate/Grand Order)
===============================================
This is the dataset of carmilla/ใซใผใใฉ/ๅก็ฑณๆ (Fate/Grand Order), containing 212 images and their tags.
The core tags of this character are 'breasts, long\_hair, large\_breasts, yellow\_eyes, white\_hair, bangs, curly\_hair, sunglasses', 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"
] |
afff89db0d8cdcd04710345ea8a8bb1608b3986f
|
Estos mรกs de 7000 datos fueron conseguidos por medio de prompts a chat gpt, fine tuning de Ada de Open AI y creaciรณn de mi autorรญa, siรฉntase libre de usar estos datos para entrenar su modelo.
|
Bluckr/assistant_spanish_pofi_v1
|
[
"license:other",
"region:us"
] |
2023-09-10T10:49:08+00:00
|
{"license": "other"}
|
2023-09-10T10:54:22+00:00
|
[] |
[] |
TAGS
#license-other #region-us
|
Estos mรกs de 7000 datos fueron conseguidos por medio de prompts a chat gpt, fine tuning de Ada de Open AI y creaciรณn de mi autorรญa, siรฉntase libre de usar estos datos para entrenar su modelo.
|
[] |
[
"TAGS\n#license-other #region-us \n"
] |
[
11
] |
[
"passage: TAGS\n#license-other #region-us \n"
] |
805a069030de2aef0ad6bffe6f6b4c2e0115eb70
|
# Bangumi Image Base of Seishun Buta Yarou
This is the image base of bangumi Seishun Buta Yarou, we detected 28 characters, 3098 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
|:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|
| 0 | 1089 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 77 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 29 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 38 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 23 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 29 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 15 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 29 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 38 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 179 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 10 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 215 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 11 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 21 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 27 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 209 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 27 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 23 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 542 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 120 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 13 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 18 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 8 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 7 | [Download](23/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 24 | 19 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 13 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 119 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 150 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
BangumiBase/seishunbutayarou
|
[
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] |
2023-09-10T10:51:48+00:00
|
{"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]}
|
2023-09-29T05:42:31+00:00
|
[] |
[] |
TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
|
Bangumi Image Base of Seishun Buta Yarou
========================================
This is the image base of bangumi Seishun Buta Yarou, we detected 28 characters, 3098 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
|
[] |
[
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
[
25
] |
[
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
caddaf9eb86acb784078b8bf5bde5ca9d0ddebdf
|
# Dataset of arisugawa_natsuha/ๆๆ ๅทๅค่/์๋ฆฌ์ค๊ฐ์๋์ธ ํ (THE iDOLM@STER: SHINY COLORS)
This is the dataset of arisugawa_natsuha/ๆๆ ๅทๅค่/์๋ฆฌ์ค๊ฐ์๋์ธ ํ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `long_hair, breasts, bangs, orange_hair, large_breasts, red_hair, 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 | 956.69 MiB | [Download](https://huggingface.co/datasets/CyberHarem/arisugawa_natsuha_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 463.35 MiB | [Download](https://huggingface.co/datasets/CyberHarem/arisugawa_natsuha_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1305 | 1.02 GiB | [Download](https://huggingface.co/datasets/CyberHarem/arisugawa_natsuha_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 810.23 MiB | [Download](https://huggingface.co/datasets/CyberHarem/arisugawa_natsuha_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1305 | 1.60 GiB | [Download](https://huggingface.co/datasets/CyberHarem/arisugawa_natsuha_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/arisugawa_natsuha_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 | 40 |  |  |  |  |  | rabbit_ears, 1girl, fake_animal_ears, playboy_bunny, detached_collar, wrist_cuffs, looking_at_viewer, strapless_leotard, red_leotard, solo, ponytail, red_bowtie, fishnet_pantyhose, cleavage, bare_shoulders, blush, nail_polish, black_pantyhose, black_eyes, smile, jewelry, medium_breasts, rabbit_tail, card |
| 1 | 18 |  |  |  |  |  | 1girl, cleavage, looking_at_viewer, white_bikini, blush, navel, o-ring_bikini, solo, collarbone, criss-cross_halter, sunglasses, bare_shoulders, eyewear_on_head, smile, ahoge, black_eyes, medium_breasts, bracelet, open_mouth, tinted_eyewear, see-through |
| 2 | 5 |  |  |  |  |  | 1girl, bare_shoulders, brown_eyes, cleavage, collarbone, looking_at_viewer, outdoors, solo, blue_sky, blush, day, navel, o-ring_bikini, water, wet, white_bikini, criss-cross_halter, ocean, open_mouth, :d, bracelet, brown_hair, closed_mouth, cowboy_shot, standing, stomach, sunlight, thighs, wading |
| 3 | 14 |  |  |  |  |  | 1girl, solo, yellow_bikini, cleavage, looking_at_viewer, navel, sunglasses, bare_shoulders, blush, eyewear_on_head, smile, blue_shorts, collarbone, crop_top, bracelet, denim_shorts, midriff, outdoors, short_shorts, grey_eyes, ocean, ahoge, single_hair_bun, armpits, bikini_under_clothes, black_eyes, cloud, day, sky, white_background |
| 4 | 5 |  |  |  |  |  | 1girl, beach, blue_sky, blush, collarbone, completely_nude, day, navel, nipples, ocean, outdoors, pussy, solo, armpits, arms_behind_head, arms_up, ass_visible_through_thighs, cleft_of_venus, eyewear_on_head, looking_at_viewer, open_mouth, smile, sunglasses, water, wet, ;d, ahoge, one_eye_closed, black_eyes, swept_bangs |
| 5 | 15 |  |  |  |  |  | 1girl, cleavage, solo, collarbone, looking_at_viewer, white_background, blush, simple_background, smile, white_shirt, necklace, short_hair, upper_body, bra |
| 6 | 6 |  |  |  |  |  | 1girl, blush, bridal_veil, cleavage, looking_at_viewer, necklace, wedding_dress, white_dress, bare_shoulders, collarbone, medium_breasts, rose, smile, solo, bride, hair_flower, off-shoulder_dress, white_gloves, black_eyes, bridal_gauntlets, brown_eyes, white_flower |
| 7 | 31 |  |  |  |  |  | 1girl, blush, hetero, nipples, 1boy, swept_bangs, sex, sweat, completely_nude, solo_focus, looking_at_viewer, vaginal, penis, pussy, collarbone, navel, female_pubic_hair, spread_legs, grey_eyes, mosaic_censoring, thighs, girl_on_top, straddling, ahoge, on_bed, on_back, open_mouth, blur_censor |
| 8 | 6 |  |  |  |  |  | 1boy, 1girl, blush, hetero, penis, solo_focus, fellatio, jewelry, mosaic_censoring, nude, sweat, male_pubic_hair, open_mouth, saliva, tongue_out, ahoge, collarbone, cum |
| 9 | 11 |  |  |  |  |  | 1girl, black_gloves, china_dress, looking_at_viewer, blush, bun_cover, double_bun, jewelry, purple_dress, solo, bare_shoulders, cleavage_cutout, smile, arm_garter, ahoge, medium_breasts, sleeveless_dress, swept_bangs, closed_mouth, pelvic_curtain, thighs, baozi, bridal_garter, brown_hair, covered_navel, groin, simple_background, white_background |
| 10 | 9 |  |  |  |  |  | 1girl, blush, frills, looking_at_viewer, maid_headdress, puffy_short_sleeves, solo, wrist_cuffs, black_dress, simple_background, white_apron, white_background, enmaided, waist_apron, smile, swept_bangs, white_thighhighs |
| 11 | 9 |  |  |  |  |  | 1girl, blush, short_sleeves, solo, ahoge, looking_at_viewer, bare_shoulders, jewelry, open_mouth, shirt, skirt, smile, floral_print, food, shoulder_cutout, sweat, upper_body |
| 12 | 6 |  |  |  |  |  | 1girl, jewelry, looking_at_viewer, shirt, smile, solo, ahoge, blush, long_sleeves, collarbone, holding_cup, upper_body, wine_glass, brown_eyes, nail_polish, see-through, sitting |
| 13 | 7 |  |  |  |  |  | looking_at_viewer, short_sleeves, 1girl, grey_shirt, jacket_around_waist, solo, wrist_scrunchie, :d, open_mouth, pleated_skirt, purple_skirt, sweater_around_waist, miniskirt, wavy_hair, white_background, white_thighhighs, collarbone, cowboy_shot, hair_bow, holding, plaid, purple_necktie, purple_scrunchie, simple_background, single_thighhigh |
| 14 | 5 |  |  |  |  |  | 1girl, floral_print, hair_flower, looking_at_viewer, obi, smile, solo, wide_sleeves, ahoge, black_eyes, blush, holding, long_sleeves, outdoors, print_kimono, hair_bun, new_year, snowing, tree, upper_body |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | rabbit_ears | 1girl | fake_animal_ears | playboy_bunny | detached_collar | wrist_cuffs | looking_at_viewer | strapless_leotard | red_leotard | solo | ponytail | red_bowtie | fishnet_pantyhose | cleavage | bare_shoulders | blush | nail_polish | black_pantyhose | black_eyes | smile | jewelry | medium_breasts | rabbit_tail | card | white_bikini | navel | o-ring_bikini | collarbone | criss-cross_halter | sunglasses | eyewear_on_head | ahoge | bracelet | open_mouth | tinted_eyewear | see-through | brown_eyes | outdoors | blue_sky | day | water | wet | ocean | :d | brown_hair | closed_mouth | cowboy_shot | standing | stomach | sunlight | thighs | wading | yellow_bikini | blue_shorts | crop_top | denim_shorts | midriff | short_shorts | grey_eyes | single_hair_bun | armpits | bikini_under_clothes | cloud | sky | white_background | beach | completely_nude | nipples | pussy | arms_behind_head | arms_up | ass_visible_through_thighs | cleft_of_venus | ;d | one_eye_closed | swept_bangs | simple_background | white_shirt | necklace | short_hair | upper_body | bra | bridal_veil | wedding_dress | white_dress | rose | bride | hair_flower | off-shoulder_dress | white_gloves | bridal_gauntlets | white_flower | hetero | 1boy | sex | sweat | solo_focus | vaginal | penis | female_pubic_hair | spread_legs | mosaic_censoring | girl_on_top | straddling | on_bed | on_back | blur_censor | fellatio | nude | male_pubic_hair | saliva | tongue_out | cum | black_gloves | china_dress | bun_cover | double_bun | purple_dress | cleavage_cutout | arm_garter | sleeveless_dress | pelvic_curtain | baozi | bridal_garter | covered_navel | groin | frills | maid_headdress | puffy_short_sleeves | black_dress | white_apron | enmaided | waist_apron | white_thighhighs | short_sleeves | shirt | skirt | floral_print | food | shoulder_cutout | long_sleeves | holding_cup | wine_glass | sitting | grey_shirt | jacket_around_waist | wrist_scrunchie | pleated_skirt | purple_skirt | sweater_around_waist | miniskirt | wavy_hair | hair_bow | holding | plaid | purple_necktie | purple_scrunchie | single_thighhigh | obi | wide_sleeves | print_kimono | hair_bun | new_year | snowing | tree |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------------|:--------|:-------------------|:----------------|:------------------|:--------------|:--------------------|:--------------------|:--------------|:-------|:-----------|:-------------|:--------------------|:-----------|:-----------------|:--------|:--------------|:------------------|:-------------|:--------|:----------|:-----------------|:--------------|:-------|:---------------|:--------|:----------------|:-------------|:---------------------|:-------------|:------------------|:--------|:-----------|:-------------|:-----------------|:--------------|:-------------|:-----------|:-----------|:------|:--------|:------|:--------|:-----|:-------------|:---------------|:--------------|:-----------|:----------|:-----------|:---------|:---------|:----------------|:--------------|:-----------|:---------------|:----------|:---------------|:------------|:------------------|:----------|:-----------------------|:--------|:------|:-------------------|:--------|:------------------|:----------|:--------|:-------------------|:----------|:-----------------------------|:-----------------|:-----|:-----------------|:--------------|:--------------------|:--------------|:-----------|:-------------|:-------------|:------|:--------------|:----------------|:--------------|:-------|:--------|:--------------|:---------------------|:---------------|:-------------------|:---------------|:---------|:-------|:------|:--------|:-------------|:----------|:--------|:--------------------|:--------------|:-------------------|:--------------|:-------------|:---------|:----------|:--------------|:-----------|:-------|:------------------|:---------|:-------------|:------|:---------------|:--------------|:------------|:-------------|:---------------|:------------------|:-------------|:-------------------|:-----------------|:--------|:----------------|:----------------|:--------|:---------|:-----------------|:----------------------|:--------------|:--------------|:-----------|:--------------|:-------------------|:----------------|:--------|:--------|:---------------|:-------|:------------------|:---------------|:--------------|:-------------|:----------|:-------------|:----------------------|:------------------|:----------------|:---------------|:-----------------------|:------------|:------------|:-----------|:----------|:--------|:-----------------|:-------------------|:-------------------|:------|:---------------|:---------------|:-----------|:-----------|:----------|:-------|
| 0 | 40 |  |  |  |  |  | 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 | 18 |  |  |  |  |  | | 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 | 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 | 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 | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 15 |  |  |  |  |  | | 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 | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 31 |  |  |  |  |  | | 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 | 6 |  |  |  |  |  | | X | | | | | | | | | | | | | | X | | | | | X | | | | | | | X | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | | X | X | | X | | | X | | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 9 |  |  |  |  |  | | 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 | X | | | | | | | | | | | | | | | | | | | | | | | | | |
| 12 | 6 |  |  |  |  |  | | X | | | | | X | | | X | | | | | | X | X | | | 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 | X | X | X | X | | | | | | | |
| 14 | 5 |  |  |  |  |  | | X | | | | | X | | | X | | | | | | X | | | X | X | | | | | | | | | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | X | | | | | | | | | | | | | X | | | | | X | X | X | X | X | X | X |
|
CyberHarem/arisugawa_natsuha_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T11:09:04+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T08:05:36+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of arisugawa\_natsuha/ๆๆ ๅทๅค่/์๋ฆฌ์ค๊ฐ์๋์ธ ํ (THE iDOLM@STER: SHINY COLORS)
===========================================================================
This is the dataset of arisugawa\_natsuha/ๆๆ ๅทๅค่/์๋ฆฌ์ค๊ฐ์๋์ธ ํ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'long\_hair, breasts, bangs, orange\_hair, large\_breasts, red\_hair, 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"
] |
890d2623b6af705aeb7d350793915cce42944429
|
# Dataset Card for "gia-dataset-tokenized-debug"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
edbeeching/gia-dataset-tokenized-debug
|
[
"region:us"
] |
2023-09-10T11:10:08+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}, {"name": "train", "num_bytes": 381345596, "num_examples": 289}], "download_size": 66896005, "dataset_size": 823499264}, "configs": [{"config_name": "atari-alien", "data_files": [{"split": "test", "path": "atari-alien/test-*"}, {"split": "train", "path": "atari-alien/train-*"}]}]}
|
2023-09-10T18:39:24+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "gia-dataset-tokenized-debug"
More Information needed
|
[
"# Dataset Card for \"gia-dataset-tokenized-debug\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"gia-dataset-tokenized-debug\"\n\nMore Information needed"
] |
[
6,
21
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"gia-dataset-tokenized-debug\"\n\nMore Information needed"
] |
57bb14915400fb6cc38da6e2ffed7550c596da87
|
# Dataset Card for ParlaMint 3.0
### Dataset Summary
ParlaMint 3.0 is a multilingual set of 26 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2022, with the individual corpora being between 9 and 125 million words in size.
### Languages
Slovenian, Austrian, Bosnian, Belgian, Bulgarian, Czech, Danish, Estonian, Catalan, Galician, French, British, Greek, Croatian, Hungarian, Icelandic, Italian, Latvian, Dutch, Norwegian, Polish, Portuguese, Serbian, Swedish, Turkish, Ukrainian.
## Dataset Structure
### Data Instances
A sample instance from the dataset:
```
{
'ID': 'ParlaMint-SI_2022-04-06-SDZ8-Izredna-99.u227',
'Title': 'Minutes of the National Assembly of the Republic of Slovenia, Term 8, Extraordinary Session 99, (06. 04. 2022)',
'Date': '2022-04-06',
'Body': 'Lower house',
'Term': '8',
'Session': '',
'Meeting': 99,
'Sitting': '',
'Agenda': '',
'Subcorpus': 'War',
'Speaker_role': 'Regular',
'Speaker_MP': 'MP',
'Speaker_Minister': '-',
'Speaker_party': 'Levica',
'Speaker_party_name': 'Levica',
'Party_status': 'Opposition',
'Speaker_name': 'Koraลพija, Boลกtjan',
'Speaker_gender': 'M',
'Speaker_birth': '1974',
'text': '[[โฆ]]Pa celo poslanec z Prekmurja, no, kaj sem rekel [[โฆ]] [[nemir v dvorani]] Zdaj bodite pa tiho, v redu, okej. No, kot reฤeno, gre se za to, da se zaลกฤiti tudi kot Prekmurje samo in tudi takrat se je, ne vemo, kdo in zakaj je ลกiril neke, bom rekel, nebuloze oziroma tudi ยปfake newsยซ po Prekmurju, v smislu, ฤez, da Levica ลพeli prepovedati geotermalno energijo oziroma paฤ samo uporabo, kar ne drลพi. V Levici smo za geotermalno energijo, smo pa seveda proti [[znak za konec razprave]] in strogo proti frekingu, to kar ste ลพeleli vi doseฤi prej, ampak ste potem videli, da zaradi glasovanja, ki se je ลพe zgodilo na prejลกnji seji, da tega ne boste dosegli in ste tudi morali popustit. In sreฤen sem za Prekmurje in sreฤen sem za vzhodno Slovenijo, da smo konฤno nekaj pametnega naredili. Hvala.\n'
}
```
### Data Fields
- 'ID': Unique identifier for each example;
- 'Title': Title or heading of the parliamentary debate;
- 'Date': The date when the parliamentary debate took place;
- 'Body': The primary chamber or house of the parliamentary assembly in which the debate occurred;
- 'Term': The legislative term or session number during which the debate was conducted;
- 'Session': Specific session or part of the term when the debate was held;
- 'Meeting': Numeric identifier or count of the meeting within a session or term;
- 'Sitting': Particular segment or part of a larger meeting or session;
- 'Agenda': Subset or category of the main corpus to which the record belongs;
- 'Subcorpus': Subset or category of the main corpus to which the record belongs;
- 'Speaker_role': Role or position of the speaker during the debate, e.g., chairperson, main speaker, etc;
- 'Speaker_MP': Indicator if the speaker is a Member of Parliament or not;
- 'Speaker_Minister': Indicator if the speaker is a Minister or holds an executive office;
- 'Speaker_party': Abbreviated code or identifier for the political party of the speaker;
- 'Speaker_party_name': Full name of the political party to which the speaker belongs;
- 'Party_status': The status or standing of the party in the parliamentary assembly, e.g., ruling, opposition, etc;
- 'Speaker_name': Full name of the individual speaking during the debate;
- 'Speaker_gender': Gender of the speaker;
- 'Speaker_birth': Year of birth of the speaker;
- 'text': Transcription of the spoken content during the debate.
## Additional Information
### Dataset Curators
Erjavec, Tomaลพ ; et al. (see http://hdl.handle.net/11356/1486 for more)
### Licensing Information
CC BY 4.0
### Citation Information
```
@misc{11356/1486,
title = {Multilingual comparable corpora of parliamentary debates {ParlaMint} 3.0},
author = {Erjavec, Toma{\v z} and Kopp, Maty{\'a}{\v s} and Ogrodniczuk, Maciej and Osenova, Petya and Fi{\v s}er, Darja and Pirker, Hannes and Wissik, Tanja and Schopper, Daniel and Kirnbauer, Martin and Ljube{\v s}i{\'c}, Nikola and Rupnik, Peter and Mochtak, Michal and Pol, Henk van der and Depoorter, Griet and Simov, Kiril and Grigorova, Vladislava and Grigorov, Ilko and Jongejan, Bart and Haltrup Hansen, Dorte and Navarretta, Costanza and M{\"o}lder, Martin and Kahusk, Neeme and Vider, Kadri and Bel, Nuria and Antiba-Cartazo, Iv{\'a}n and Pisani, Marilina and Zevallos, Rodolfo and Vladu, Adina Ioana and Magari{\~n}os, Carmen and Bardanca, Daniel and Barcala, Mario and Garcia, Marcos and P{\'e}rez Lago, Mar{\'{\i}}a and Garc{\'{\i}}a Louzao, Pedro and Vivel Couso, Ainhoa and V{\'a}zquez Abu{\'{\i}}n, Marta and Garc{\'{\i}}a D{\'{\i}}az, Noelia and Vidal Migu{\'e}ns, Adri{\'a}n and Fern{\'a}ndez Rei, Elisa and Regueira, Xos{\'e} Lu{\'{\i}}s and Diwersy, Sascha and Luxardo, Giancarlo and Coole, Matthew and Rayson, Paul and Nwadukwe, Amanda and Gkoumas, Dimitris and Papavassiliou, Vassilis and Prokopidis, Prokopis and Gavriilidou, Maria and Piperidis, Stelios and Ligeti-Nagy, No{\'e}mi and Jelencsik-M{\'a}tyus, Kinga and Varga, Zs{\'o}fia and Dod{\'e}, R{\'e}ka and Barkarson, Starkaรฐur and Agnoloni, Tommaso and Bartolini, Roberto and Frontini, Francesca and Montemagni, Simonetta and Quochi, Valeria and Venturi, Giulia and Ruisi, Manuela and Marchetti, Carlo and Battistoni, Roberto and Darฤฃis, Roberts and van Heusden, Ruben and Marx, Maarten and Tungland, Lars Magne and Rudolf, Micha{\l} and Nito{\'n}, Bart{\l}omiej and Aires, Jos{\'e} and Mendes, Am{\'a}lia and Cardoso, Aida and Pereira, Rui and Yrj{\"a}n{\"a}inen, V{\"a}in{\"o} and Nor{\'e}n, Fredrik Mohammadi and Magnusson, M{\aa}ns and Jarlbrink, Johan and Meden, Katja and Pan{\v c}ur, Andrej and Ojster{\v s}ek, Mihael and {\c C}{\"o}ltekin, {\c C}a{\u g}r{\i} and Kryvenko, Anna},
url = {http://hdl.handle.net/11356/1486},
note = {Slovenian language resource repository {CLARIN}.{SI}},
copyright = {Creative Commons - Attribution 4.0 International ({CC} {BY} 4.0)},
issn = {2820-4042},
year = {2023}
}
```
### Contributions
Thanks to Hana Skitek and [@matejklemen](https://github.com/matejklemen) for adding this dataset.
|
cjvt/ParlaMint3
|
[
"task_categories:other",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"language:sl",
"language:de",
"language:bos",
"language:bul",
"language:cs",
"language:dan",
"language:est",
"language:cat",
"language:fr",
"language:eng",
"language:el",
"language:hr",
"language:hun",
"language:isl",
"language:ita",
"language:lv",
"language:nl",
"language:no",
"language:pol",
"language:pt",
"language:sr",
"language:swe",
"language:tr",
"language:uk",
"license:cc-by-4.0",
"region:us"
] |
2023-09-10T11:12:42+00:00
|
{"language": ["sl", "de", "bos", "bul", "cs", "dan", "est", "cat", "fr", "eng", "el", "hr", "hun", "isl", "ita", "lv", "nl", false, "pol", "pt", "sr", "swe", "tr", "uk"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["100K<n<1M"], "task_categories": ["other"], "dataset_info": {"features": [{"name": "ID", "dtype": "string"}, {"name": "Title", "dtype": "string"}, {"name": "Date", "dtype": "string"}, {"name": "Body", "dtype": "string"}, {"name": "Term", "dtype": "string"}, {"name": "Session", "dtype": "string"}, {"name": "Meeting", "dtype": "int32"}, {"name": "Sitting", "dtype": "string"}, {"name": "Agenda", "dtype": "string"}, {"name": "Subcorpus", "dtype": "string"}, {"name": "Speaker_role", "dtype": "string"}, {"name": "Speaker_MP", "dtype": "string"}, {"name": "Speaker_Minister", "dtype": "string"}, {"name": "Speaker_party", "dtype": "string"}, {"name": "Speaker_party_name", "dtype": "string"}, {"name": "Party_status", "dtype": "string"}, {"name": "Speaker_name", "dtype": "string"}, {"name": "Speaker_gender", "dtype": "string"}, {"name": "Speaker_birth", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 555501497, "num_examples": 311354}], "download_size": 327446923, "dataset_size": 555501497}}
|
2024-01-05T11:51:39+00:00
|
[] |
[
"sl",
"de",
"bos",
"bul",
"cs",
"dan",
"est",
"cat",
"fr",
"eng",
"el",
"hr",
"hun",
"isl",
"ita",
"lv",
"nl",
"no",
"pol",
"pt",
"sr",
"swe",
"tr",
"uk"
] |
TAGS
#task_categories-other #multilinguality-multilingual #size_categories-100K<n<1M #language-Slovenian #language-German #language-Bosnian #language-Bulgarian #language-Czech #language-Danish #language-Estonian #language-Catalan #language-French #language-English #language-Modern Greek (1453-) #language-Croatian #language-Hungarian #language-Icelandic #language-Italian #language-Latvian #language-Dutch #language-Norwegian #language-Polish #language-Portuguese #language-Serbian #language-Swedish #language-Turkish #language-Ukrainian #license-cc-by-4.0 #region-us
|
# Dataset Card for ParlaMint 3.0
### Dataset Summary
ParlaMint 3.0 is a multilingual set of 26 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2022, with the individual corpora being between 9 and 125 million words in size.
### Languages
Slovenian, Austrian, Bosnian, Belgian, Bulgarian, Czech, Danish, Estonian, Catalan, Galician, French, British, Greek, Croatian, Hungarian, Icelandic, Italian, Latvian, Dutch, Norwegian, Polish, Portuguese, Serbian, Swedish, Turkish, Ukrainian.
## Dataset Structure
### Data Instances
A sample instance from the dataset:
### Data Fields
- 'ID': Unique identifier for each example;
- 'Title': Title or heading of the parliamentary debate;
- 'Date': The date when the parliamentary debate took place;
- 'Body': The primary chamber or house of the parliamentary assembly in which the debate occurred;
- 'Term': The legislative term or session number during which the debate was conducted;
- 'Session': Specific session or part of the term when the debate was held;
- 'Meeting': Numeric identifier or count of the meeting within a session or term;
- 'Sitting': Particular segment or part of a larger meeting or session;
- 'Agenda': Subset or category of the main corpus to which the record belongs;
- 'Subcorpus': Subset or category of the main corpus to which the record belongs;
- 'Speaker_role': Role or position of the speaker during the debate, e.g., chairperson, main speaker, etc;
- 'Speaker_MP': Indicator if the speaker is a Member of Parliament or not;
- 'Speaker_Minister': Indicator if the speaker is a Minister or holds an executive office;
- 'Speaker_party': Abbreviated code or identifier for the political party of the speaker;
- 'Speaker_party_name': Full name of the political party to which the speaker belongs;
- 'Party_status': The status or standing of the party in the parliamentary assembly, e.g., ruling, opposition, etc;
- 'Speaker_name': Full name of the individual speaking during the debate;
- 'Speaker_gender': Gender of the speaker;
- 'Speaker_birth': Year of birth of the speaker;
- 'text': Transcription of the spoken content during the debate.
## Additional Information
### Dataset Curators
Erjavec, Tomaลพ ; et al. (see URL for more)
### Licensing Information
CC BY 4.0
### Contributions
Thanks to Hana Skitek and @matejklemen for adding this dataset.
|
[
"# Dataset Card for ParlaMint 3.0",
"### Dataset Summary\n\nParlaMint 3.0 is a multilingual set of 26 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2022, with the individual corpora being between 9 and 125 million words in size.",
"### Languages\n\nSlovenian, Austrian, Bosnian, Belgian, Bulgarian, Czech, Danish, Estonian, Catalan, Galician, French, British, Greek, Croatian, Hungarian, Icelandic, Italian, Latvian, Dutch, Norwegian, Polish, Portuguese, Serbian, Swedish, Turkish, Ukrainian.",
"## Dataset Structure",
"### Data Instances\n\nA sample instance from the dataset:",
"### Data Fields\n- 'ID': Unique identifier for each example;\n- 'Title': Title or heading of the parliamentary debate;\n- 'Date': The date when the parliamentary debate took place;\n- 'Body': The primary chamber or house of the parliamentary assembly in which the debate occurred;\n- 'Term': The legislative term or session number during which the debate was conducted;\n- 'Session': Specific session or part of the term when the debate was held;\n- 'Meeting': Numeric identifier or count of the meeting within a session or term;\n- 'Sitting': Particular segment or part of a larger meeting or session;\n- 'Agenda': Subset or category of the main corpus to which the record belongs;\n- 'Subcorpus': Subset or category of the main corpus to which the record belongs;\n- 'Speaker_role': Role or position of the speaker during the debate, e.g., chairperson, main speaker, etc;\n- 'Speaker_MP': Indicator if the speaker is a Member of Parliament or not;\n- 'Speaker_Minister': Indicator if the speaker is a Minister or holds an executive office;\n- 'Speaker_party': Abbreviated code or identifier for the political party of the speaker;\n- 'Speaker_party_name': Full name of the political party to which the speaker belongs;\n- 'Party_status': The status or standing of the party in the parliamentary assembly, e.g., ruling, opposition, etc;\n- 'Speaker_name': Full name of the individual speaking during the debate;\n- 'Speaker_gender': Gender of the speaker;\n- 'Speaker_birth': Year of birth of the speaker;\n- 'text': Transcription of the spoken content during the debate.",
"## Additional Information",
"### Dataset Curators\n\nErjavec, Tomaลพ ; et al. (see URL for more)",
"### Licensing Information\n\nCC BY 4.0",
"### Contributions\n\nThanks to Hana Skitek and @matejklemen for adding this dataset."
] |
[
"TAGS\n#task_categories-other #multilinguality-multilingual #size_categories-100K<n<1M #language-Slovenian #language-German #language-Bosnian #language-Bulgarian #language-Czech #language-Danish #language-Estonian #language-Catalan #language-French #language-English #language-Modern Greek (1453-) #language-Croatian #language-Hungarian #language-Icelandic #language-Italian #language-Latvian #language-Dutch #language-Norwegian #language-Polish #language-Portuguese #language-Serbian #language-Swedish #language-Turkish #language-Ukrainian #license-cc-by-4.0 #region-us \n",
"# Dataset Card for ParlaMint 3.0",
"### Dataset Summary\n\nParlaMint 3.0 is a multilingual set of 26 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2022, with the individual corpora being between 9 and 125 million words in size.",
"### Languages\n\nSlovenian, Austrian, Bosnian, Belgian, Bulgarian, Czech, Danish, Estonian, Catalan, Galician, French, British, Greek, Croatian, Hungarian, Icelandic, Italian, Latvian, Dutch, Norwegian, Polish, Portuguese, Serbian, Swedish, Turkish, Ukrainian.",
"## Dataset Structure",
"### Data Instances\n\nA sample instance from the dataset:",
"### Data Fields\n- 'ID': Unique identifier for each example;\n- 'Title': Title or heading of the parliamentary debate;\n- 'Date': The date when the parliamentary debate took place;\n- 'Body': The primary chamber or house of the parliamentary assembly in which the debate occurred;\n- 'Term': The legislative term or session number during which the debate was conducted;\n- 'Session': Specific session or part of the term when the debate was held;\n- 'Meeting': Numeric identifier or count of the meeting within a session or term;\n- 'Sitting': Particular segment or part of a larger meeting or session;\n- 'Agenda': Subset or category of the main corpus to which the record belongs;\n- 'Subcorpus': Subset or category of the main corpus to which the record belongs;\n- 'Speaker_role': Role or position of the speaker during the debate, e.g., chairperson, main speaker, etc;\n- 'Speaker_MP': Indicator if the speaker is a Member of Parliament or not;\n- 'Speaker_Minister': Indicator if the speaker is a Minister or holds an executive office;\n- 'Speaker_party': Abbreviated code or identifier for the political party of the speaker;\n- 'Speaker_party_name': Full name of the political party to which the speaker belongs;\n- 'Party_status': The status or standing of the party in the parliamentary assembly, e.g., ruling, opposition, etc;\n- 'Speaker_name': Full name of the individual speaking during the debate;\n- 'Speaker_gender': Gender of the speaker;\n- 'Speaker_birth': Year of birth of the speaker;\n- 'text': Transcription of the spoken content during the debate.",
"## Additional Information",
"### Dataset Curators\n\nErjavec, Tomaลพ ; et al. (see URL for more)",
"### Licensing Information\n\nCC BY 4.0",
"### Contributions\n\nThanks to Hana Skitek and @matejklemen for adding this dataset."
] |
[
182,
10,
55,
73,
6,
14,
438,
5,
22,
9,
23
] |
[
"passage: TAGS\n#task_categories-other #multilinguality-multilingual #size_categories-100K<n<1M #language-Slovenian #language-German #language-Bosnian #language-Bulgarian #language-Czech #language-Danish #language-Estonian #language-Catalan #language-French #language-English #language-Modern Greek (1453-) #language-Croatian #language-Hungarian #language-Icelandic #language-Italian #language-Latvian #language-Dutch #language-Norwegian #language-Polish #language-Portuguese #language-Serbian #language-Swedish #language-Turkish #language-Ukrainian #license-cc-by-4.0 #region-us \n# Dataset Card for ParlaMint 3.0### Dataset Summary\n\nParlaMint 3.0 is a multilingual set of 26 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2022, with the individual corpora being between 9 and 125 million words in size.### Languages\n\nSlovenian, Austrian, Bosnian, Belgian, Bulgarian, Czech, Danish, Estonian, Catalan, Galician, French, British, Greek, Croatian, Hungarian, Icelandic, Italian, Latvian, Dutch, Norwegian, Polish, Portuguese, Serbian, Swedish, Turkish, Ukrainian.## Dataset Structure### Data Instances\n\nA sample instance from the dataset:"
] |
2fb6aad5434e205eeb7bb8d4211e746b4759f6b9
|
# Dataset of shirona/ใทใญใ (Pokรฉmon)
This is the dataset of shirona/ใทใญใ (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are `blonde_hair, long_hair, hair_over_one_eye, breasts, hair_ornament, grey_eyes, very_long_hair, 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 | 730.32 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shirona_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 379.70 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shirona_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1248 | 811.61 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shirona_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 628.80 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shirona_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1248 | 1.19 GiB | [Download](https://huggingface.co/datasets/CyberHarem/shirona_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/shirona_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 | 32 |  |  |  |  |  | 1girl, fur_collar, long_sleeves, black_coat, looking_at_viewer, fur-trimmed_coat, black_pants, black_shirt, closed_mouth, holding_poke_ball, smile, poke_ball_(basic), cleavage, solo, eyelashes, pokemon_(creature) |
| 1 | 10 |  |  |  |  |  | 1girl, black_coat, looking_at_viewer, upper_body, eyelashes, fur_collar, simple_background, solo, white_background, cleavage, closed_mouth, fur-trimmed_coat, long_sleeves, smile, hand_up, shirt |
| 2 | 6 |  |  |  |  |  | 1girl, black_coat, black_shirt, cleavage, fur-trimmed_coat, fur_collar, long_sleeves, looking_at_viewer, solo, white_background, black_pants, simple_background, smile, closed_mouth, eyelashes |
| 3 | 12 |  |  |  |  |  | 1girl, looking_at_viewer, simple_background, solo, black_bikini, cleavage, white_background, navel, smile, blush, closed_mouth, collarbone |
| 4 | 10 |  |  |  |  |  | 1girl, cloud, day, navel, outdoors, solo, cleavage, looking_at_viewer, black_bikini, ocean, stomach, water, beach, blue_sky, smile, jewelry, open_mouth, parted_lips, bare_shoulders, blush, collarbone, cowboy_shot, hand_up, thighs, wading |
| 5 | 28 |  |  |  |  |  | 1girl, hetero, nipples, blush, penis, solo_focus, sex, completely_nude, 1boy, vaginal, cum_in_pussy, navel, sweat, spread_legs, open_mouth, uncensored, girl_on_top, looking_at_viewer, pubic_hair, straddling |
| 6 | 11 |  |  |  |  |  | 1girl, black_bra, black_panties, navel, solo, cleavage, looking_at_viewer, smile, lingerie, underwear_only, lace_trim, black_thighhighs, blue_eyes, blush, see-through, stomach |
| 7 | 10 |  |  |  |  |  | 1girl, playboy_bunny, rabbit_ears, cleavage, leotard, solo, fake_animal_ears, looking_at_viewer, detached_collar, smile, thighs, blush, wrist_cuffs, thighhighs, bowtie, covered_navel, huge_breasts, simple_background, white_gloves |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | fur_collar | long_sleeves | black_coat | looking_at_viewer | fur-trimmed_coat | black_pants | black_shirt | closed_mouth | holding_poke_ball | smile | poke_ball_(basic) | cleavage | solo | eyelashes | pokemon_(creature) | upper_body | simple_background | white_background | hand_up | shirt | black_bikini | navel | blush | collarbone | cloud | day | outdoors | ocean | stomach | water | beach | blue_sky | jewelry | open_mouth | parted_lips | bare_shoulders | cowboy_shot | thighs | wading | hetero | nipples | penis | solo_focus | sex | completely_nude | 1boy | vaginal | cum_in_pussy | sweat | spread_legs | uncensored | girl_on_top | pubic_hair | straddling | black_bra | black_panties | lingerie | underwear_only | lace_trim | black_thighhighs | blue_eyes | see-through | playboy_bunny | rabbit_ears | leotard | fake_animal_ears | detached_collar | wrist_cuffs | thighhighs | bowtie | covered_navel | huge_breasts | white_gloves |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------------|:---------------|:-------------|:--------------------|:-------------------|:--------------|:--------------|:---------------|:--------------------|:--------|:--------------------|:-----------|:-------|:------------|:---------------------|:-------------|:--------------------|:-------------------|:----------|:--------|:---------------|:--------|:--------|:-------------|:--------|:------|:-----------|:--------|:----------|:--------|:--------|:-----------|:----------|:-------------|:--------------|:-----------------|:--------------|:---------|:---------|:---------|:----------|:--------|:-------------|:------|:------------------|:-------|:----------|:---------------|:--------|:--------------|:-------------|:--------------|:-------------|:-------------|:------------|:----------------|:-----------|:-----------------|:------------|:-------------------|:------------|:--------------|:----------------|:--------------|:----------|:-------------------|:------------------|:--------------|:-------------|:---------|:----------------|:---------------|:---------------|
| 0 | 32 |  |  |  |  |  | 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 | 6 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 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 | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 28 |  |  |  |  |  | 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 | | | | | | | | | | | |
| 7 | 10 |  |  |  |  |  | X | | | | X | | | | | | X | | X | X | | | | X | | | | | | X | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/shirona_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T11:15:12+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T16:54:02+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of shirona/ใทใญใ (Pokรฉmon)
================================
This is the dataset of shirona/ใทใญใ (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are 'blonde\_hair, long\_hair, hair\_over\_one\_eye, breasts, hair\_ornament, grey\_eyes, very\_long\_hair, 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"
] |
ed61a42074fc5c4cec851fc1ff6c878e43f77b95
|
# Dataset Card for "logits-mt-512"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
amitness/logits-mt-512
|
[
"region:us"
] |
2023-09-10T11:39:14+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"name": "teacher_logits", "sequence": {"sequence": "float64"}}, {"name": "teacher_indices", "sequence": {"sequence": "int64"}}, {"name": "teacher_mask_indices", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 195656401.36799684, "num_examples": 10756}, {"name": "test", "num_bytes": 34543650.63200316, "num_examples": 1899}], "download_size": 84854727, "dataset_size": 230200052.0}}
|
2023-09-27T06:29:50+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "logits-mt-512"
More Information needed
|
[
"# Dataset Card for \"logits-mt-512\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"logits-mt-512\"\n\nMore Information needed"
] |
[
6,
17
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"logits-mt-512\"\n\nMore Information needed"
] |
d55ff134085e5e4157b66d919afccea41653c6af
|
# Dataset Card for "photography_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Falah/photography_prompts
|
[
"region:us"
] |
2023-09-10T11:53:18+00:00
|
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36884997, "num_examples": 100000}], "download_size": 5112133, "dataset_size": 36884997}}
|
2023-09-10T11:53:20+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "photography_prompts"
More Information needed
|
[
"# Dataset Card for \"photography_prompts\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"photography_prompts\"\n\nMore Information needed"
] |
[
6,
15
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"photography_prompts\"\n\nMore Information needed"
] |
04a99deeba30c292cd2a03cd0c39e6f2c9070bc5
|
# Dataset Card for "squad_with_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
learn3r/squad_with_test
|
[
"region:us"
] |
2023-09-10T11:54:39+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 79346108, "num_examples": 87599}, {"name": "validation", "num_bytes": 5236492.0, "num_examples": 5285}, {"name": "test", "num_bytes": 5236492.0, "num_examples": 5285}], "download_size": 19827427, "dataset_size": 89819092.0}}
|
2023-09-10T11:54:59+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "squad_with_test"
More Information needed
|
[
"# Dataset Card for \"squad_with_test\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"squad_with_test\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"squad_with_test\"\n\nMore Information needed"
] |
566f47426a7d1786387706c0efeb77a595c29461
|
# Dataset Card for "DISC-Med-SFT-en-translated-only-CMeKG"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Photolens/DISC-Med-SFT-en-translated-only-CMeKG
|
[
"language:en",
"region:us"
] |
2023-09-10T12:04:55+00:00
|
{"language": ["en"], "dataset_info": {"features": [{"name": "conversations", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 22582540, "num_examples": 49920}], "download_size": 9097397, "dataset_size": 22582540}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-10-02T18:08:39+00:00
|
[] |
[
"en"
] |
TAGS
#language-English #region-us
|
# Dataset Card for "DISC-Med-SFT-en-translated-only-CMeKG"
More Information needed
|
[
"# Dataset Card for \"DISC-Med-SFT-en-translated-only-CMeKG\"\n\nMore Information needed"
] |
[
"TAGS\n#language-English #region-us \n",
"# Dataset Card for \"DISC-Med-SFT-en-translated-only-CMeKG\"\n\nMore Information needed"
] |
[
10,
30
] |
[
"passage: TAGS\n#language-English #region-us \n# Dataset Card for \"DISC-Med-SFT-en-translated-only-CMeKG\"\n\nMore Information needed"
] |
77674ca8dcfd50ad1145594693a14efcce44b8d7
|
# Dataset Card for "MultiSpeakerDetection_LibriSpeechTestClean"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
DynamicSuperb/MultiSpeakerDetection_LibriSpeech-TestClean
|
[
"region:us"
] |
2023-09-10T12:23:41+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": 889343528.0, "num_examples": 2000}], "download_size": 707786230, "dataset_size": 889343528.0}}
|
2023-09-11T06:37:39+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "MultiSpeakerDetection_LibriSpeechTestClean"
More Information needed
|
[
"# Dataset Card for \"MultiSpeakerDetection_LibriSpeechTestClean\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"MultiSpeakerDetection_LibriSpeechTestClean\"\n\nMore Information needed"
] |
[
6,
25
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"MultiSpeakerDetection_LibriSpeechTestClean\"\n\nMore Information needed"
] |
72c9d9fa4d496682992148f5696bd9cd0e833e18
|
# Dataset of kiyohime/ๆธ
ๅงซ/ๆธ
ๅงฌ (Fate/Grand Order)
This is the dataset of kiyohime/ๆธ
ๅงซ/ๆธ
ๅงฌ (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `horns, long_hair, dragon_horns, yellow_eyes, green_hair, bangs, aqua_hair, breasts, dragon_girl, very_long_hair, 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 | 728.17 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kiyohime_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 414.94 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kiyohime_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1279 | 925.14 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kiyohime_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 644.29 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kiyohime_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1279 | 1.28 GiB | [Download](https://huggingface.co/datasets/CyberHarem/kiyohime_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/kiyohime_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 | 12 |  |  |  |  |  | 1girl, hair_bow, looking_at_viewer, solo, yellow_bikini, bare_shoulders, blush, cleavage, kimono, collarbone, smile, wide_sleeves, detached_collar, large_breasts, yellow_bow, obi, twintails, polearm, white_thighhighs, frilled_bikini, holding, medium_breasts |
| 1 | 8 |  |  |  |  |  | 1girl, kimono, looking_at_viewer, obi, smile, solo, wide_sleeves, blush, holding, white_thighhighs, simple_background, folding_fan, white_background |
| 2 | 7 |  |  |  |  |  | 1girl, folding_fan, holding_fan, kimono, looking_at_viewer, smile, solo, long_sleeves, wide_sleeves, obi, closed_mouth, upper_body, blush |
| 3 | 15 |  |  |  |  |  | hair_bow, ponytail, 1girl, blush, looking_at_viewer, red_eyes, solo, yellow_bow, bare_shoulders, blue_bikini, cleavage, smile, frilled_bikini, collarbone, white_hair, large_breasts, medium_breasts, navel, closed_mouth, thighs |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | hair_bow | looking_at_viewer | solo | yellow_bikini | bare_shoulders | blush | cleavage | kimono | collarbone | smile | wide_sleeves | detached_collar | large_breasts | yellow_bow | obi | twintails | polearm | white_thighhighs | frilled_bikini | holding | medium_breasts | simple_background | folding_fan | white_background | holding_fan | long_sleeves | closed_mouth | upper_body | ponytail | red_eyes | blue_bikini | white_hair | navel | thighs |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------|:--------------------|:-------|:----------------|:-----------------|:--------|:-----------|:---------|:-------------|:--------|:---------------|:------------------|:----------------|:-------------|:------|:------------|:----------|:-------------------|:-----------------|:----------|:-----------------|:--------------------|:--------------|:-------------------|:--------------|:---------------|:---------------|:-------------|:-----------|:-----------|:--------------|:-------------|:--------|:---------|
| 0 | 12 |  |  |  |  |  | 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 | | | | | | | | | | |
| 2 | 7 |  |  |  |  |  | X | | X | X | | | X | | X | | X | X | | | | X | | | | | | | | X | | X | X | X | X | | | | | | |
| 3 | 15 |  |  |  |  |  | X | X | X | X | | X | X | X | | X | X | | | X | X | | | | | X | | X | | | | | | X | | X | X | X | X | X | X |
|
CyberHarem/kiyohime_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T12:27:27+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-11T19:30:41+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of kiyohime/ๆธ
ๅงซ/ๆธ
ๅงฌ (Fate/Grand Order)
============================================
This is the dataset of kiyohime/ๆธ
ๅงซ/ๆธ
ๅงฌ (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'horns, long\_hair, dragon\_horns, yellow\_eyes, green\_hair, bangs, aqua\_hair, breasts, dragon\_girl, very\_long\_hair, 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"
] |
a0f63ee2ae15607ca92a1c7807b567a4ad715938
|
# Dataset of yukoku_kiriko/ๅนฝ่ฐท้งๅญ (THE iDOLM@STER: SHINY COLORS)
This is the dataset of yukoku_kiriko/ๅนฝ่ฐท้งๅญ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `long_hair, grey_hair, purple_eyes, bangs, twintails, 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 | 852.96 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yukoku_kiriko_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 432.74 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yukoku_kiriko_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1250 | 960.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yukoku_kiriko_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 740.19 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yukoku_kiriko_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1250 | 1.46 GiB | [Download](https://huggingface.co/datasets/CyberHarem/yukoku_kiriko_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/yukoku_kiriko_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 | 20 |  |  |  |  |  | 1girl, looking_at_viewer, short_sleeves, solo, smile, white_dress, blush, closed_mouth, bandaged_arm, simple_background, white_background, bandaid_on_forehead, sidelocks, collared_dress |
| 1 | 17 |  |  |  |  |  | 1girl, looking_at_viewer, solo, white_shirt, white_background, blush, simple_background, neck_ribbon, pinafore_dress, blue_dress, long_sleeves, bandaid_on_forehead, smile, school_uniform, blue_ribbon, closed_mouth, sidelocks |
| 2 | 6 |  |  |  |  |  | 1girl, blue_dress, full_body, long_sleeves, neck_ribbon, pinafore_dress, solo, white_shirt, white_socks, looking_at_viewer, school_uniform, sitting, smile, bandages, blush, bandaid_on_forehead, bandaid_on_leg, black_footwear, closed_mouth, loafers |
| 3 | 12 |  |  |  |  |  | 1girl, bare_shoulders, solo, white_dress, looking_at_viewer, blush, hair_flower, white_gloves, bandaged_arm, strapless_dress, closed_mouth, collarbone, bow, medium_breasts, white_rose, cleavage, lying, ribbon, smile, thighhighs, white_background |
| 4 | 9 |  |  |  |  |  | 1girl, blush, hair_bow, looking_at_viewer, smile, solo, black_dress, detached_sleeves, puffy_short_sleeves, bare_shoulders, white_background, choker, open_mouth, simple_background |
| 5 | 20 |  |  |  |  |  | 1girl, solo, bare_shoulders, looking_at_viewer, medium_breasts, navel, blush, collarbone, cleavage, simple_background, smile, closed_mouth, frilled_bikini, sidelocks, white_background, white_bikini, bandages, bandaid, black_bikini, bow, choker, cowboy_shot |
| 6 | 5 |  |  |  |  |  | 1girl, medium_breasts, mermaid, monsterification, navel, solo, blush, necklace, shell_bikini, smile, bracelet, cleavage, collarbone, looking_at_viewer, open_mouth, sidelocks, blue_sky, braid, day, outdoors, simple_background |
| 7 | 6 |  |  |  |  |  | 1girl, looking_at_viewer, solo, bandages, bare_shoulders, collarbone, medium_breasts, navel, underwear_only, bandaid, blush, stomach, white_bra, cleavage, frilled_panties, on_back, parted_lips, sidelocks, smile, white_panties |
| 8 | 27 |  |  |  |  |  | white_one-piece_swimsuit, looking_at_viewer, 1girl, solo, blush, whistle_around_neck, competition_swimsuit, visor_cap, collarbone, covered_navel, cowboy_shot, smile, cleavage, medium_breasts, eyewear_on_head, sunglasses, open_mouth, watch |
| 9 | 8 |  |  |  |  |  | 1boy, 1girl, blush, hetero, penis, solo_focus, pussy, smile, sweat, vaginal, medium_breasts, navel, bar_censor, looking_at_viewer, nipples, nude, open_mouth, spread_legs, clothed_sex, cum, heart, mosaic_censoring, on_back, pov, straddling |
| 10 | 8 |  |  |  |  |  | 1boy, 1girl, blush, hetero, open_mouth, solo_focus, tongue_out, mosaic_censoring, bar_censor, saliva, cum_on_hair, cum_on_tongue, erection, facial, heart, licking_penis |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | short_sleeves | solo | smile | white_dress | blush | closed_mouth | bandaged_arm | simple_background | white_background | bandaid_on_forehead | sidelocks | collared_dress | white_shirt | neck_ribbon | pinafore_dress | blue_dress | long_sleeves | school_uniform | blue_ribbon | full_body | white_socks | sitting | bandages | bandaid_on_leg | black_footwear | loafers | bare_shoulders | hair_flower | white_gloves | strapless_dress | collarbone | bow | medium_breasts | white_rose | cleavage | lying | ribbon | thighhighs | hair_bow | black_dress | detached_sleeves | puffy_short_sleeves | choker | open_mouth | navel | frilled_bikini | white_bikini | bandaid | black_bikini | cowboy_shot | mermaid | monsterification | necklace | shell_bikini | bracelet | blue_sky | braid | day | outdoors | underwear_only | stomach | white_bra | frilled_panties | on_back | parted_lips | white_panties | white_one-piece_swimsuit | whistle_around_neck | competition_swimsuit | visor_cap | covered_navel | eyewear_on_head | sunglasses | watch | 1boy | hetero | penis | solo_focus | pussy | sweat | vaginal | bar_censor | nipples | nude | spread_legs | clothed_sex | cum | heart | mosaic_censoring | pov | straddling | tongue_out | saliva | cum_on_hair | cum_on_tongue | erection | facial | licking_penis |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------------------|:----------------|:-------|:--------|:--------------|:--------|:---------------|:---------------|:--------------------|:-------------------|:----------------------|:------------|:-----------------|:--------------|:--------------|:-----------------|:-------------|:---------------|:-----------------|:--------------|:------------|:--------------|:----------|:-----------|:-----------------|:-----------------|:----------|:-----------------|:--------------|:---------------|:------------------|:-------------|:------|:-----------------|:-------------|:-----------|:--------|:---------|:-------------|:-----------|:--------------|:-------------------|:----------------------|:---------|:-------------|:--------|:-----------------|:---------------|:----------|:---------------|:--------------|:----------|:-------------------|:-----------|:---------------|:-----------|:-----------|:--------|:------|:-----------|:-----------------|:----------|:------------|:------------------|:----------|:--------------|:----------------|:---------------------------|:----------------------|:-----------------------|:------------|:----------------|:------------------|:-------------|:--------|:-------|:---------|:--------|:-------------|:--------|:--------|:----------|:-------------|:----------|:-------|:--------------|:--------------|:------|:--------|:-------------------|:------|:-------------|:-------------|:---------|:--------------|:----------------|:-----------|:---------|:----------------|
| 0 | 20 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 17 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 12 |  |  |  |  |  | X | X | | X | X | X | X | X | X | | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 20 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 6 |  |  |  |  |  | X | X | | X | X | | X | | | | | | X | | | | | | | | | | | | X | | | | X | | | | X | | X | | X | | | | | | | | | | X | | | X | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 27 |  |  |  |  |  | X | X | | X | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | X | | X | | X | | | | | | | | | X | | | | | | X | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 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 | | | | | | | |
| 10 | 8 |  |  |  |  |  | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | | X | | | | X | | | | | | X | X | | | X | X | X | X | X | X | X |
|
CyberHarem/yukoku_kiriko_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T12:28:18+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T05:29:40+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of yukoku\_kiriko/ๅนฝ่ฐท้งๅญ (THE iDOLM@STER: SHINY COLORS)
=============================================================
This is the dataset of yukoku\_kiriko/ๅนฝ่ฐท้งๅญ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'long\_hair, grey\_hair, purple\_eyes, bangs, twintails, 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"
] |
9277e5bf1844b6e1108c6eeb2f89374070641009
|
# Dataset of sonia (Pokรฉmon)
This is the dataset of sonia (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are `orange_hair, long_hair, side_ponytail, hair_ornament, heart_hair_ornament, breasts, green_eyes, eyewear_on_head, sunglasses, large_breasts, 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 | 578.43 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sonia_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 337.24 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sonia_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1250 | 731.44 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sonia_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 514.20 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sonia_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1250 | 1.00 GiB | [Download](https://huggingface.co/datasets/CyberHarem/sonia_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/sonia_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 | 5 |  |  |  |  |  | 1girl, aqua_eyes, collarbone, heart, long_sleeves, looking_at_viewer, nail_polish, smile, solo, strap_between_breasts, brown_coat, open_mouth, ribbed_shirt, simple_background, teeth, white_background, aqua_nails, bag, blush, cleavage, green_nails, hand_in_pocket, holding, pants, tongue, trench_coat |
| 1 | 5 |  |  |  |  |  | 1girl, :d, brown_coat, collarbone, green_nails, green_shirt, hand_up, heart, looking_at_viewer, nail_polish, open_mouth, ribbed_shirt, solo, upper_body, blush, long_sleeves, trench_coat, simple_background, strap_between_breasts |
| 2 | 8 |  |  |  |  |  | 1girl, brown_coat, buttons, green_footwear, green_shirt, handbag, heart, long_sleeves, nail_polish, ribbed_shirt, green_nails, high_heel_boots, open_mouth, pants, solo, full_body, hand_up, :d, looking_at_viewer, standing_on_one_leg, tongue, collarbone, strap_between_breasts, upper_teeth_only |
| 3 | 5 |  |  |  |  |  | 1girl, aqua_eyes, brown_coat, collarbone, hand_up, heart, long_sleeves, looking_at_viewer, ribbed_shirt, solo, blush, green_shirt, pants, buttons, cleavage, strap_between_breasts, teeth, waving, :d, bag, hand_in_pocket, open_mouth |
| 4 | 16 |  |  |  |  |  | 1girl, heart, nipples, collarbone, looking_at_viewer, navel, solo, blush, completely_nude, pussy, smile, aqua_eyes, bangs, thighs, closed_mouth, mosaic_censoring, sitting |
| 5 | 12 |  |  |  |  |  | 1girl, blush, hetero, solo_focus, 1boy, heart, nipples, open_mouth, penis, collarbone, looking_at_viewer, pussy, sex, vaginal, navel, cowgirl_position, spread_legs, sweat, completely_nude, girl_on_top, tongue, aqua_eyes, mosaic_censoring, smile, uncensored |
| 6 | 5 |  |  |  |  |  | 1boy, 1girl, :>=, blush, erection, fellatio, heart, hetero, looking_at_viewer, pov, saliva, solo_focus, uncensored, veiny_penis, blue_eyes, fingernails, long_sleeves, male_pubic_hair, lips, nail_polish, aqua_eyes, half-closed_eyes |
| 7 | 8 |  |  |  |  |  | 1girl, dress, looking_at_viewer, mini_crown, hair_down, heart, official_alternate_costume, solo, elbow_gloves, smile, alternate_hairstyle, upper_body, black_choker, black_gloves, closed_mouth, collarbone, pantyhose, pendant_choker |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | aqua_eyes | collarbone | heart | long_sleeves | looking_at_viewer | nail_polish | smile | solo | strap_between_breasts | brown_coat | open_mouth | ribbed_shirt | simple_background | teeth | white_background | aqua_nails | bag | blush | cleavage | green_nails | hand_in_pocket | holding | pants | tongue | trench_coat | :d | green_shirt | hand_up | upper_body | buttons | green_footwear | handbag | high_heel_boots | full_body | standing_on_one_leg | upper_teeth_only | waving | nipples | navel | completely_nude | pussy | bangs | thighs | closed_mouth | mosaic_censoring | sitting | hetero | solo_focus | 1boy | penis | sex | vaginal | cowgirl_position | spread_legs | sweat | girl_on_top | uncensored | :>= | erection | fellatio | pov | saliva | veiny_penis | blue_eyes | fingernails | male_pubic_hair | lips | half-closed_eyes | dress | mini_crown | hair_down | official_alternate_costume | elbow_gloves | alternate_hairstyle | black_choker | black_gloves | pantyhose | pendant_choker |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:------------|:-------------|:--------|:---------------|:--------------------|:--------------|:--------|:-------|:------------------------|:-------------|:-------------|:---------------|:--------------------|:--------|:-------------------|:-------------|:------|:--------|:-----------|:--------------|:-----------------|:----------|:--------|:---------|:--------------|:-----|:--------------|:----------|:-------------|:----------|:-----------------|:----------|:------------------|:------------|:----------------------|:-------------------|:---------|:----------|:--------|:------------------|:--------|:--------|:---------|:---------------|:-------------------|:----------|:---------|:-------------|:-------|:--------|:------|:----------|:-------------------|:--------------|:--------|:--------------|:-------------|:------|:-----------|:-----------|:------|:---------|:--------------|:------------|:--------------|:------------------|:-------|:-------------------|:--------|:-------------|:------------|:-----------------------------|:---------------|:----------------------|:---------------|:---------------|:------------|:-----------------|
| 0 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 5 |  |  |  |  |  | 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 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 16 |  |  |  |  |  | X | X | X | X | | X | | X | X | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 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 | | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | X | X | | X | X | X | X | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | |
| 7 | 8 |  |  |  |  |  | X | | X | X | | X | | X | X | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/sonia_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T12:37:49+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T16:49:37+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of sonia (Pokรฉmon)
==========================
This is the dataset of sonia (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are 'orange\_hair, long\_hair, side\_ponytail, hair\_ornament, heart\_hair\_ornament, breasts, green\_eyes, eyewear\_on\_head, sunglasses, large\_breasts, 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"
] |
f2ff43ede61b66bf92e4929ca9b1a24efebf5b32
|
# Dataset Card for "goat-deduped"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
diwank/goat-deduped
|
[
"region:us"
] |
2023-09-10T12:50:55+00:00
|
{"dataset_info": {"features": [{"name": "output", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "signature", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 740545, "num_examples": 6652}], "download_size": 0, "dataset_size": 740545}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-10-25T00:07:30+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "goat-deduped"
More Information needed
|
[
"# Dataset Card for \"goat-deduped\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"goat-deduped\"\n\nMore Information needed"
] |
[
6,
16
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"goat-deduped\"\n\nMore Information needed"
] |
bf222bf111ee2338fc92906ee21420b35d46a8f2
|
# Dataset Card for "bangladeshi_taka"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
fia24/bangladeshi_taka
|
[
"region:us"
] |
2023-09-10T13:23:18+00:00
|
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "10", "1": "100", "2": "1000", "3": "2", "4": "20", "5": "200", "6": "5", "7": "50", "8": "500"}}}}], "splits": [{"name": "train", "num_bytes": 147606636.6, "num_examples": 16200}, {"name": "test", "num_bytes": 16201666.4, "num_examples": 1800}], "download_size": 159283013, "dataset_size": 163808303.0}}
|
2023-09-10T13:23:35+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "bangladeshi_taka"
More Information needed
|
[
"# Dataset Card for \"bangladeshi_taka\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"bangladeshi_taka\"\n\nMore Information needed"
] |
[
6,
15
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"bangladeshi_taka\"\n\nMore Information needed"
] |
7cab26c68c42f6ac9ac27cc1a24c1f642d9f6a57
|
# Dataset Card for "hydra_inst_labeled_bad"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
vikp/hydra_inst_labeled_bad
|
[
"region:us"
] |
2023-09-10T13:26:54+00:00
|
{"dataset_info": {"features": [{"name": "unique_conversation_id", "dtype": "string"}, {"name": "rendered", "dtype": "string"}, {"name": "dataset_id", "dtype": "string"}, {"name": "inst_prob", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 90343785.37738979, "num_examples": 47604}], "download_size": 32011958, "dataset_size": 90343785.37738979}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
|
2023-09-10T13:29:10+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "hydra_inst_labeled_bad"
More Information needed
|
[
"# Dataset Card for \"hydra_inst_labeled_bad\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"hydra_inst_labeled_bad\"\n\nMore Information needed"
] |
[
6,
20
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"hydra_inst_labeled_bad\"\n\nMore Information needed"
] |
98ac06e1222fb72f2001b3e8c4f86b3c0aea95e8
|
# Dataset Card for snli-small
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("plaguss/snli-small")
```
### 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("plaguss/snli-small")
```
### 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 |
| ---------- | ----- | ---- | -------- | -------- |
| premise | Premise | TextField | True | False |
| hypothesis | Hypothesis | 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 |
| ------------- | ----- | ---- | -------- | ----------- | ------------- |
| label | The hypothesis entails the premise, neither entails nor contradict each other, or the hypothesis contradicts the premise? | LabelQuestion | True | N/A | ['0', '1', '2'] |
**โจ 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": {
"hypothesis": "A person is training his horse for a competition.",
"premise": "A person on a horse jumps over a broken down airplane."
},
"metadata": {},
"responses": [
{
"status": "submitted",
"values": {
"label": {
"value": "1"
}
}
}
],
"suggestions": []
}
```
While the same record in HuggingFace `datasets` looks as follows:
```json
{
"external_id": null,
"hypothesis": "A person is training his horse for a competition.",
"label": [
{
"status": "submitted",
"user_id": null,
"value": "1"
}
],
"label-suggestion": null,
"label-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
},
"metadata": "{}",
"premise": "A person on a horse jumps over a broken down airplane."
}
```
### 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.
* **premise** is of type `TextField`.
* **hypothesis** 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`.
* **label** is of type `LabelQuestion` with the following allowed values ['0', '1', '2'].
* **โจ 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) **label-suggestion** is of type `label_selection` with the following allowed values ['0', '1', '2'].
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
Premise: A string used to determine the truthfulness of the hypothesis, Hypothesis: A string that may be true, false, or whose truth conditions may not be knowable when compared to the premise
#### 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]
|
plaguss/snli-small
|
[
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] |
2023-09-10T13:29:47+00:00
|
{"size_categories": "n<1K", "tags": ["rlfh", "argilla", "human-feedback"]}
|
2023-09-10T13:53:06+00:00
|
[] |
[] |
TAGS
#size_categories-n<1K #rlfh #argilla #human-feedback #region-us
|
Dataset Card for snli-small
===========================
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.
+ premise is of type 'TextField'.
+ hypothesis 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'.
+ label is of type 'LabelQuestion' with the following allowed values ['0', '1', '2'].
* 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) label-suggestion is of type 'label\_selection' with the following allowed values ['0', '1', '2'].
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
Premise: A string used to determine the truthfulness of the hypothesis, Hypothesis: A string that may be true, false, or whose truth conditions may not be knowable when compared to the premise
#### 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+ premise is of type 'TextField'.\n\t+ hypothesis 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+ label is of type 'LabelQuestion' with the following allowed values ['0', '1', '2'].\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) label-suggestion is of type 'label\\_selection' with the following allowed values ['0', '1', '2'].\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\n\n\nPremise: A string used to determine the truthfulness of the hypothesis, Hypothesis: A string that may be true, false, or whose truth conditions may not be knowable when compared to the premise",
"#### 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-n<1K #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+ premise is of type 'TextField'.\n\t+ hypothesis 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+ label is of type 'LabelQuestion' with the following allowed values ['0', '1', '2'].\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) label-suggestion is of type 'label\\_selection' with the following allowed values ['0', '1', '2'].\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\n\n\nPremise: A string used to determine the truthfulness of the hypothesis, Hypothesis: A string that may be true, false, or whose truth conditions may not be knowable when compared to the premise",
"#### 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"
] |
[
27,
162,
40,
53,
68,
11,
208,
40,
364,
27,
7,
4,
10,
10,
5,
50,
5,
9,
18,
7,
8,
14,
6,
6,
5
] |
[
"passage: TAGS\n#size_categories-n<1K #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-----------------",
"passage: ### 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+ premise is of type 'TextField'.\n\t+ hypothesis 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+ label is of type 'LabelQuestion' with the following allowed values ['0', '1', '2'].\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) label-suggestion is of type 'label\\_selection' with the following allowed values ['0', '1', '2'].\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"
] |
eee07f3ee3ab02537e6daebf749749e850b26bbb
|
# Dataset of sonoda_chiyoko/ๅ็ฐๆบไปฃๅญ (THE iDOLM@STER: SHINY COLORS)
This is the dataset of sonoda_chiyoko/ๅ็ฐๆบไปฃๅญ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are `brown_hair, bangs, breasts, twintails, hair_bun, double_bun, red_eyes, large_breasts, brown_eyes, long_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 | 824.87 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sonoda_chiyoko_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 415.43 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sonoda_chiyoko_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1280 | 944.73 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sonoda_chiyoko_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 712.46 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sonoda_chiyoko_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1280 | 1.42 GiB | [Download](https://huggingface.co/datasets/CyberHarem/sonoda_chiyoko_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/sonoda_chiyoko_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 | 57 |  |  |  |  |  | 1girl, neck_ribbon, yellow_ribbon, school_uniform, solo, long_sleeves, looking_at_viewer, blush, white_shirt, blazer, black_jacket, white_background, plaid_skirt, simple_background, smile, sweater_vest, brown_skirt, holding, pleated_skirt, food, collared_shirt |
| 1 | 12 |  |  |  |  |  | 1girl, blush, completely_nude, nipples, solo, looking_at_viewer, navel, open_mouth, collarbone, sweat, simple_background, white_background, female_pubic_hair, smile |
| 2 | 11 |  |  |  |  |  | 1boy, 1girl, hetero, nipples, solo_focus, blush, penis, sex, vaginal, navel, sweat, looking_at_viewer, open_mouth, cowgirl_position, girl_on_top, pov, collarbone, completely_nude, cum_in_pussy, mosaic_censoring, spread_legs, bar_censor, cum_on_breasts, heart, shirt_lift, smile, white_shirt |
| 3 | 17 |  |  |  |  |  | 1girl, cleavage, solo, blush, looking_at_viewer, navel, smile, collarbone, frilled_bikini, bare_shoulders, necklace, bracelet, holding, medium_breasts, open_mouth, polka_dot, simple_background, blue_sky, food-themed_hair_ornament, white_background |
| 4 | 5 |  |  |  |  |  | 1girl, looking_at_viewer, navel, solo, underwear_only, bare_arms, bare_shoulders, blush, cleavage, collarbone, smile, closed_mouth, medium_breasts, pink_bra, pink_panties, simple_background, sitting, white_background, bow, mouth_hold, short_twintails |
| 5 | 7 |  |  |  |  |  | 1girl, bare_shoulders, cleavage, looking_at_viewer, solo, tube_top, blush, collarbone, midriff, navel, necklace, off_shoulder, open_jacket, pink_jacket, tongue_out, hair_ribbon, simple_background, smile, crop_top, holding_food, lock, medium_breasts, miniskirt, pleated_skirt, upper_body, white_background, white_belt |
| 6 | 7 |  |  |  |  |  | 1girl, bare_shoulders, black_sweater, blush, brown_jacket, hairclip, off_shoulder, ribbed_sweater, sleeveless_sweater, upper_body, simple_background, sleeveless_turtleneck, solo, turtleneck_sweater, white_background, x_hair_ornament, heart_earrings, looking_at_viewer, heart_necklace, long_sleeves, short_twintails, smile |
| 7 | 8 |  |  |  |  |  | 1girl, brown_jacket, brown_skirt, hairclip, looking_at_viewer, off_shoulder, plaid_skirt, solo, bare_shoulders, long_sleeves, necklace, ribbed_sweater, short_twintails, sleeveless_sweater, blush, earrings, x_hair_ornament, black_sweater, heart, miniskirt, smile, white_background, open_jacket, simple_background, sleeveless_turtleneck, sleeves_past_wrists |
| 8 | 9 |  |  |  |  |  | 1girl, looking_at_viewer, one_eye_closed, ;d, blue_skirt, open_mouth, short_twintails, smile, bow, jacket, solo, ribbon, wrist_scrunchie, armband, holding_microphone, plaid_skirt, blue_scrunchie, blush, frilled_skirt, long_sleeves, simple_background, standing_on_one_leg |
| 9 | 19 |  |  |  |  |  | 1girl, demon_horns, blush, looking_at_viewer, solo, bare_shoulders, cleavage, black_gloves, covered_navel, open_mouth, simple_background, striped, demon_wings, see-through, star_earrings, asymmetrical_legwear, necklace, purple_skirt, smile, star_hair_ornament, torn_clothes, crop_top, facial_mark, lollipop, sticker_on_face, white_background, halloween_costume, midriff, polka_dot, single_thighhigh |
| 10 | 8 |  |  |  |  |  | 1girl, frills, looking_at_viewer, solo, blush, puffy_short_sleeves, dress, bow, food, open_mouth, simple_background, :d, heart, ribbon, white_background, white_gloves |
| 11 | 5 |  |  |  |  |  | 1girl, bare_shoulders, detached_collar, fake_animal_ears, looking_at_viewer, playboy_bunny, rabbit_ears, strapless_leotard, wrist_cuffs, black_bowtie, black_leotard, solo, cleavage, closed_mouth, collarbone, short_twintails, white_collar, areola_slip, arm_up, bare_arms, bed_sheet, covered_navel, dot_nose, egg_vibrator, groin, hairband, hand_up, highleg, indoors, kneeling, no_shoes, nose_blush, on_bed, open_mouth, raised_eyebrows, see-through_leotard, simple_background, skindentation, smile, thighs, white_background, white_thighhighs |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | neck_ribbon | yellow_ribbon | school_uniform | solo | long_sleeves | looking_at_viewer | blush | white_shirt | blazer | black_jacket | white_background | plaid_skirt | simple_background | smile | sweater_vest | brown_skirt | holding | pleated_skirt | food | collared_shirt | completely_nude | nipples | navel | open_mouth | collarbone | sweat | female_pubic_hair | 1boy | hetero | solo_focus | penis | sex | vaginal | cowgirl_position | girl_on_top | pov | cum_in_pussy | mosaic_censoring | spread_legs | bar_censor | cum_on_breasts | heart | shirt_lift | cleavage | frilled_bikini | bare_shoulders | necklace | bracelet | medium_breasts | polka_dot | blue_sky | food-themed_hair_ornament | underwear_only | bare_arms | closed_mouth | pink_bra | pink_panties | sitting | bow | mouth_hold | short_twintails | tube_top | midriff | off_shoulder | open_jacket | pink_jacket | tongue_out | hair_ribbon | crop_top | holding_food | lock | miniskirt | upper_body | white_belt | black_sweater | brown_jacket | hairclip | ribbed_sweater | sleeveless_sweater | sleeveless_turtleneck | turtleneck_sweater | x_hair_ornament | heart_earrings | heart_necklace | earrings | sleeves_past_wrists | one_eye_closed | ;d | blue_skirt | jacket | ribbon | wrist_scrunchie | armband | holding_microphone | blue_scrunchie | frilled_skirt | standing_on_one_leg | demon_horns | black_gloves | covered_navel | striped | demon_wings | see-through | star_earrings | asymmetrical_legwear | purple_skirt | star_hair_ornament | torn_clothes | facial_mark | lollipop | sticker_on_face | halloween_costume | single_thighhigh | frills | puffy_short_sleeves | dress | :d | white_gloves | detached_collar | fake_animal_ears | playboy_bunny | rabbit_ears | strapless_leotard | wrist_cuffs | black_bowtie | black_leotard | white_collar | areola_slip | arm_up | bed_sheet | dot_nose | egg_vibrator | groin | hairband | hand_up | highleg | indoors | kneeling | no_shoes | nose_blush | on_bed | raised_eyebrows | see-through_leotard | skindentation | thighs | white_thighhighs |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------------|:----------------|:-----------------|:-------|:---------------|:--------------------|:--------|:--------------|:---------|:---------------|:-------------------|:--------------|:--------------------|:--------|:---------------|:--------------|:----------|:----------------|:-------|:-----------------|:------------------|:----------|:--------|:-------------|:-------------|:--------|:--------------------|:-------|:---------|:-------------|:--------|:------|:----------|:-------------------|:--------------|:------|:---------------|:-------------------|:--------------|:-------------|:-----------------|:--------|:-------------|:-----------|:-----------------|:-----------------|:-----------|:-----------|:-----------------|:------------|:-----------|:----------------------------|:-----------------|:------------|:---------------|:-----------|:---------------|:----------|:------|:-------------|:------------------|:-----------|:----------|:---------------|:--------------|:--------------|:-------------|:--------------|:-----------|:---------------|:-------|:------------|:-------------|:-------------|:----------------|:---------------|:-----------|:-----------------|:---------------------|:------------------------|:---------------------|:------------------|:-----------------|:-----------------|:-----------|:----------------------|:-----------------|:-----|:-------------|:---------|:---------|:------------------|:----------|:---------------------|:-----------------|:----------------|:----------------------|:--------------|:---------------|:----------------|:----------|:--------------|:--------------|:----------------|:-----------------------|:---------------|:---------------------|:---------------|:--------------|:-----------|:------------------|:--------------------|:-------------------|:---------|:----------------------|:--------|:-----|:---------------|:------------------|:-------------------|:----------------|:--------------|:--------------------|:--------------|:---------------|:----------------|:---------------|:--------------|:---------|:------------|:-----------|:---------------|:--------|:-----------|:----------|:----------|:----------|:-----------|:-----------|:-------------|:---------|:------------------|:----------------------|:----------------|:---------|:-------------------|
| 0 | 57 |  |  |  |  |  | X | X | X | X | X | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 17 |  |  |  |  |  | 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 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 7 |  |  |  |  |  | X | | | | X | X | X | X | | | | X | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | X | | | X | | | | | | | | | X | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 9 |  |  |  |  |  | X | | | | X | X | X | X | | | | | X | 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 | X | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 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 | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
CyberHarem/sonoda_chiyoko_theidolmstershinycolors
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T13:50:33+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T07:18:02+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of sonoda\_chiyoko/ๅ็ฐๆบไปฃๅญ (THE iDOLM@STER: SHINY COLORS)
===============================================================
This is the dataset of sonoda\_chiyoko/ๅ็ฐๆบไปฃๅญ (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags.
The core tags of this character are 'brown\_hair, bangs, breasts, twintails, hair\_bun, double\_bun, red\_eyes, large\_breasts, brown\_eyes, long\_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"
] |
69cc255ceecfd9bc6adedf4ecccbec06bed142c2
|
# Dataset Card for "Bread-chatbot-dataset-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
breadlicker45/Bread-chatbot-dataset-test
|
[
"task_categories:text-generation",
"size_categories:1M<n<10M",
"region:us"
] |
2023-09-10T13:55:33+00:00
|
{"size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "chat", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2202904715, "num_examples": 4353416}, {"name": "validation", "num_bytes": 11936697, "num_examples": 23011}], "download_size": 1357003364, "dataset_size": 2214841412}}
|
2023-10-13T14:16:15+00:00
|
[] |
[] |
TAGS
#task_categories-text-generation #size_categories-1M<n<10M #region-us
|
# Dataset Card for "Bread-chatbot-dataset-test"
More Information needed
|
[
"# Dataset Card for \"Bread-chatbot-dataset-test\"\n\nMore Information needed"
] |
[
"TAGS\n#task_categories-text-generation #size_categories-1M<n<10M #region-us \n",
"# Dataset Card for \"Bread-chatbot-dataset-test\"\n\nMore Information needed"
] |
[
29,
20
] |
[
"passage: TAGS\n#task_categories-text-generation #size_categories-1M<n<10M #region-us \n# Dataset Card for \"Bread-chatbot-dataset-test\"\n\nMore Information needed"
] |
9abb62aec7f5711bf8bc3c78548efdadf8dd6547
|
# Conceptnet Full EN (essentials)
## Dataset Summary:
This dataset is a compact and simplified version of ConceptNet, emphasizing English concepts and their sources. It retains the essential information about the relations in a format that is straightforward and user-friendly. Designed for efficiency and ease of use, this dataset is particularly suitable for scenarios with computational constraints. While the original ConceptNet database exceeds 20GB in size, this streamlined version is a mere 500MB, making it feasible to run on less powerful computers or servers without compromising the richness of English-centric knowledge.
## Motivation:
The genesis of this dataset lies in a comprehensive study aimed at enhancing the ability of AI systems to disambiguate English concepts. In the vast expanse of language, terms frequently adopt varied meanings depending on context, making it a daunting task for individuals to encompass all possible interpretations of a single term. ConceptNet, with its rich tapestry of relationships between concepts and their origins, provides a distinctive perspective to navigate and comprehend these layered meanings. By condensing this extensive knowledge repository into a more concise and accessible format, our analyses became not only swifter but also more resource-efficient. Recognizing the potential value to the broader community, we felt compelled to share this dataset openly.
## Dataset Structure
Before diving into the specific fields, it's essential to understand that each entry in this dataset captures a relationship. This relationship can be between two English concepts or between an English concept and its external source (URL). These relationships are detailed through a set of fields that provide both textual and URI-based identifiers, along with a weight that quantifies the relationship's strength or significance.
### Sample:
```plaintext
start_text: areligious
relation_text: Antonym
end_text: religious
start_uri: /c/en/areligious/a
relation_uri: /r/Antonym
end_uri: /c/en/religious
weight: 1
```
### Fields:
- **start_text**: The textual representation of the starting concept in the relationship.
- **relation_text**: The textual description of the type of relationship, whether it's between two concepts or a concept and its source.
- **end_text**: The textual representation of the ending concept or the external URL in the relationship.
- **surfaceText**: A human-readable sentence or phrase that illustrates the relationship between the `start_text` and `end_text` concepts.
- **start_uri**: The unique URI identifier for the starting concept.
- **relation_uri**: The unique URI identifier for the type of relationship. This URI can be used to understand the nature of the relationship. For a comprehensive list of relation types and their meanings, refer to [ConceptNet's Relation Types Documentation](https://github.com/commonsense/conceptnet5/wiki/Relations).
- **end_uri**: The unique URI identifier for the ending concept or the external URL.
- **weight**: A numerical value representing the strength or significance of the relationship. The weight is derived from the number of sources that support the relationship and the reliability of these sources. A higher weight indicates a stronger consensus or more robust evidence for the relationship in the knowledge base.
**Note**: The dataset contains multiple self-looping relations. These were present in the original ConceptNet data, and the decision was made to retain them for this compact version.
## Licensing and Attribution
This dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). Users are free to use, modify, and distribute the dataset, provided they give appropriate credit to the original source and indicate if changes were made. For proper attribution, please reference the original ConceptNet data and this compact version when utilizing it in your work.
## Acknowledgments
A heartfelt thank you goes out to the ConceptNet team for their invaluable work in creating a comprehensive knowledge base that serves as the foundation for this dataset.
For academic purposes, we recommend citing the original ConceptNet work as follows:
```
Robyn Speer et al. ConceptNet 5. Available at: [ConceptNet GitHub Repository](https://github.com/commonsense/conceptnet5).
```
---
๐ **Discover More About Our Journey**: If you're intrigued by what you see and want to dive deeper into our work, feel free to explore [Open World Domains](https://openworld.domains). ๐
|
openworld-domains/conceptnet-full-en-essentials
|
[
"language:en",
"knowledge-graph",
"english",
"relations",
"conceptnet",
"region:us"
] |
2023-09-10T13:59:24+00:00
|
{"language": ["en"], "pretty_name": " Conceptnet Full EN [essentials]", "tags": ["knowledge-graph", "english", "relations", "conceptnet"]}
|
2023-09-10T16:21:48+00:00
|
[] |
[
"en"
] |
TAGS
#language-English #knowledge-graph #english #relations #conceptnet #region-us
|
# Conceptnet Full EN (essentials)
## Dataset Summary:
This dataset is a compact and simplified version of ConceptNet, emphasizing English concepts and their sources. It retains the essential information about the relations in a format that is straightforward and user-friendly. Designed for efficiency and ease of use, this dataset is particularly suitable for scenarios with computational constraints. While the original ConceptNet database exceeds 20GB in size, this streamlined version is a mere 500MB, making it feasible to run on less powerful computers or servers without compromising the richness of English-centric knowledge.
## Motivation:
The genesis of this dataset lies in a comprehensive study aimed at enhancing the ability of AI systems to disambiguate English concepts. In the vast expanse of language, terms frequently adopt varied meanings depending on context, making it a daunting task for individuals to encompass all possible interpretations of a single term. ConceptNet, with its rich tapestry of relationships between concepts and their origins, provides a distinctive perspective to navigate and comprehend these layered meanings. By condensing this extensive knowledge repository into a more concise and accessible format, our analyses became not only swifter but also more resource-efficient. Recognizing the potential value to the broader community, we felt compelled to share this dataset openly.
## Dataset Structure
Before diving into the specific fields, it's essential to understand that each entry in this dataset captures a relationship. This relationship can be between two English concepts or between an English concept and its external source (URL). These relationships are detailed through a set of fields that provide both textual and URI-based identifiers, along with a weight that quantifies the relationship's strength or significance.
### Sample:
### Fields:
- start_text: The textual representation of the starting concept in the relationship.
- relation_text: The textual description of the type of relationship, whether it's between two concepts or a concept and its source.
- end_text: The textual representation of the ending concept or the external URL in the relationship.
- surfaceText: A human-readable sentence or phrase that illustrates the relationship between the 'start_text' and 'end_text' concepts.
- start_uri: The unique URI identifier for the starting concept.
- relation_uri: The unique URI identifier for the type of relationship. This URI can be used to understand the nature of the relationship. For a comprehensive list of relation types and their meanings, refer to ConceptNet's Relation Types Documentation.
- end_uri: The unique URI identifier for the ending concept or the external URL.
- weight: A numerical value representing the strength or significance of the relationship. The weight is derived from the number of sources that support the relationship and the reliability of these sources. A higher weight indicates a stronger consensus or more robust evidence for the relationship in the knowledge base.
Note: The dataset contains multiple self-looping relations. These were present in the original ConceptNet data, and the decision was made to retain them for this compact version.
## Licensing and Attribution
This dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). Users are free to use, modify, and distribute the dataset, provided they give appropriate credit to the original source and indicate if changes were made. For proper attribution, please reference the original ConceptNet data and this compact version when utilizing it in your work.
## Acknowledgments
A heartfelt thank you goes out to the ConceptNet team for their invaluable work in creating a comprehensive knowledge base that serves as the foundation for this dataset.
For academic purposes, we recommend citing the original ConceptNet work as follows:
---
Discover More About Our Journey: If you're intrigued by what you see and want to dive deeper into our work, feel free to explore Open World Domains.
|
[
"# Conceptnet Full EN (essentials)",
"## Dataset Summary:\n\nThis dataset is a compact and simplified version of ConceptNet, emphasizing English concepts and their sources. It retains the essential information about the relations in a format that is straightforward and user-friendly. Designed for efficiency and ease of use, this dataset is particularly suitable for scenarios with computational constraints. While the original ConceptNet database exceeds 20GB in size, this streamlined version is a mere 500MB, making it feasible to run on less powerful computers or servers without compromising the richness of English-centric knowledge.",
"## Motivation:\n\nThe genesis of this dataset lies in a comprehensive study aimed at enhancing the ability of AI systems to disambiguate English concepts. In the vast expanse of language, terms frequently adopt varied meanings depending on context, making it a daunting task for individuals to encompass all possible interpretations of a single term. ConceptNet, with its rich tapestry of relationships between concepts and their origins, provides a distinctive perspective to navigate and comprehend these layered meanings. By condensing this extensive knowledge repository into a more concise and accessible format, our analyses became not only swifter but also more resource-efficient. Recognizing the potential value to the broader community, we felt compelled to share this dataset openly.",
"## Dataset Structure\nBefore diving into the specific fields, it's essential to understand that each entry in this dataset captures a relationship. This relationship can be between two English concepts or between an English concept and its external source (URL). These relationships are detailed through a set of fields that provide both textual and URI-based identifiers, along with a weight that quantifies the relationship's strength or significance.",
"### Sample:",
"### Fields:\n\n- start_text: The textual representation of the starting concept in the relationship.\n\n- relation_text: The textual description of the type of relationship, whether it's between two concepts or a concept and its source.\n\n- end_text: The textual representation of the ending concept or the external URL in the relationship.\n\n- surfaceText: A human-readable sentence or phrase that illustrates the relationship between the 'start_text' and 'end_text' concepts.\n\n- start_uri: The unique URI identifier for the starting concept.\n\n- relation_uri: The unique URI identifier for the type of relationship. This URI can be used to understand the nature of the relationship. For a comprehensive list of relation types and their meanings, refer to ConceptNet's Relation Types Documentation.\n\n- end_uri: The unique URI identifier for the ending concept or the external URL.\n\n- weight: A numerical value representing the strength or significance of the relationship. The weight is derived from the number of sources that support the relationship and the reliability of these sources. A higher weight indicates a stronger consensus or more robust evidence for the relationship in the knowledge base.\n\nNote: The dataset contains multiple self-looping relations. These were present in the original ConceptNet data, and the decision was made to retain them for this compact version.",
"## Licensing and Attribution\n\nThis dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). Users are free to use, modify, and distribute the dataset, provided they give appropriate credit to the original source and indicate if changes were made. For proper attribution, please reference the original ConceptNet data and this compact version when utilizing it in your work.",
"## Acknowledgments\n\nA heartfelt thank you goes out to the ConceptNet team for their invaluable work in creating a comprehensive knowledge base that serves as the foundation for this dataset. \n\nFor academic purposes, we recommend citing the original ConceptNet work as follows:\n\n\n\n---\n\n Discover More About Our Journey: If you're intrigued by what you see and want to dive deeper into our work, feel free to explore Open World Domains."
] |
[
"TAGS\n#language-English #knowledge-graph #english #relations #conceptnet #region-us \n",
"# Conceptnet Full EN (essentials)",
"## Dataset Summary:\n\nThis dataset is a compact and simplified version of ConceptNet, emphasizing English concepts and their sources. It retains the essential information about the relations in a format that is straightforward and user-friendly. Designed for efficiency and ease of use, this dataset is particularly suitable for scenarios with computational constraints. While the original ConceptNet database exceeds 20GB in size, this streamlined version is a mere 500MB, making it feasible to run on less powerful computers or servers without compromising the richness of English-centric knowledge.",
"## Motivation:\n\nThe genesis of this dataset lies in a comprehensive study aimed at enhancing the ability of AI systems to disambiguate English concepts. In the vast expanse of language, terms frequently adopt varied meanings depending on context, making it a daunting task for individuals to encompass all possible interpretations of a single term. ConceptNet, with its rich tapestry of relationships between concepts and their origins, provides a distinctive perspective to navigate and comprehend these layered meanings. By condensing this extensive knowledge repository into a more concise and accessible format, our analyses became not only swifter but also more resource-efficient. Recognizing the potential value to the broader community, we felt compelled to share this dataset openly.",
"## Dataset Structure\nBefore diving into the specific fields, it's essential to understand that each entry in this dataset captures a relationship. This relationship can be between two English concepts or between an English concept and its external source (URL). These relationships are detailed through a set of fields that provide both textual and URI-based identifiers, along with a weight that quantifies the relationship's strength or significance.",
"### Sample:",
"### Fields:\n\n- start_text: The textual representation of the starting concept in the relationship.\n\n- relation_text: The textual description of the type of relationship, whether it's between two concepts or a concept and its source.\n\n- end_text: The textual representation of the ending concept or the external URL in the relationship.\n\n- surfaceText: A human-readable sentence or phrase that illustrates the relationship between the 'start_text' and 'end_text' concepts.\n\n- start_uri: The unique URI identifier for the starting concept.\n\n- relation_uri: The unique URI identifier for the type of relationship. This URI can be used to understand the nature of the relationship. For a comprehensive list of relation types and their meanings, refer to ConceptNet's Relation Types Documentation.\n\n- end_uri: The unique URI identifier for the ending concept or the external URL.\n\n- weight: A numerical value representing the strength or significance of the relationship. The weight is derived from the number of sources that support the relationship and the reliability of these sources. A higher weight indicates a stronger consensus or more robust evidence for the relationship in the knowledge base.\n\nNote: The dataset contains multiple self-looping relations. These were present in the original ConceptNet data, and the decision was made to retain them for this compact version.",
"## Licensing and Attribution\n\nThis dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). Users are free to use, modify, and distribute the dataset, provided they give appropriate credit to the original source and indicate if changes were made. For proper attribution, please reference the original ConceptNet data and this compact version when utilizing it in your work.",
"## Acknowledgments\n\nA heartfelt thank you goes out to the ConceptNet team for their invaluable work in creating a comprehensive knowledge base that serves as the foundation for this dataset. \n\nFor academic purposes, we recommend citing the original ConceptNet work as follows:\n\n\n\n---\n\n Discover More About Our Journey: If you're intrigued by what you see and want to dive deeper into our work, feel free to explore Open World Domains."
] |
[
25,
11,
132,
176,
95,
5,
302,
85,
98
] |
[
"passage: TAGS\n#language-English #knowledge-graph #english #relations #conceptnet #region-us \n# Conceptnet Full EN (essentials)## Dataset Summary:\n\nThis dataset is a compact and simplified version of ConceptNet, emphasizing English concepts and their sources. It retains the essential information about the relations in a format that is straightforward and user-friendly. Designed for efficiency and ease of use, this dataset is particularly suitable for scenarios with computational constraints. While the original ConceptNet database exceeds 20GB in size, this streamlined version is a mere 500MB, making it feasible to run on less powerful computers or servers without compromising the richness of English-centric knowledge.## Motivation:\n\nThe genesis of this dataset lies in a comprehensive study aimed at enhancing the ability of AI systems to disambiguate English concepts. In the vast expanse of language, terms frequently adopt varied meanings depending on context, making it a daunting task for individuals to encompass all possible interpretations of a single term. ConceptNet, with its rich tapestry of relationships between concepts and their origins, provides a distinctive perspective to navigate and comprehend these layered meanings. By condensing this extensive knowledge repository into a more concise and accessible format, our analyses became not only swifter but also more resource-efficient. Recognizing the potential value to the broader community, we felt compelled to share this dataset openly.## Dataset Structure\nBefore diving into the specific fields, it's essential to understand that each entry in this dataset captures a relationship. This relationship can be between two English concepts or between an English concept and its external source (URL). These relationships are detailed through a set of fields that provide both textual and URI-based identifiers, along with a weight that quantifies the relationship's strength or significance.### Sample:"
] |
8c98e7e0cd9edccc24d7e0b701ab68485912c15f
|
# Dataset of yuri (Pokรฉmon)
This is the dataset of yuri (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are `brown_hair, short_hair, brown_eyes, bangs, hat, green_headwear, bob_cut`, 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 | 607.34 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yuri_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 351.91 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yuri_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1171 | 741.88 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yuri_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 544.12 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yuri_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1171 | 1.03 GiB | [Download](https://huggingface.co/datasets/CyberHarem/yuri_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/yuri_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, backpack, blush, grey_cardigan, long_sleeves, looking_at_viewer, pink_dress, tam_o'_shanter, white_background, simple_background, smile, solo, closed_mouth, collared_dress, holding_strap, hooded_cardigan, cowboy_shot, brown_bag, hood_down |
| 1 | 16 |  |  |  |  |  | 1girl, grey_cardigan, holding_poke_ball, long_sleeves, poke_ball_(basic), tam_o'_shanter, looking_at_viewer, smile, solo, closed_mouth, simple_background, backpack, blush, pink_dress, white_background, upper_body, hooded_cardigan |
| 2 | 7 |  |  |  |  |  | 1girl, backpack, boots, brown_footwear, full_body, green_socks, grey_cardigan, holding_poke_ball, open_mouth, pink_dress, poke_ball_(basic), simple_background, tam_o'_shanter, :d, brown_bag, long_sleeves, looking_at_viewer, solo, standing, white_background, collared_dress, hooded_cardigan, blush, teeth, tongue |
| 3 | 6 |  |  |  |  |  | 1girl, backpack, boots, brown_bag, brown_footwear, buttons, collared_dress, full_body, green_socks, grey_cardigan, hooded_cardigan, long_sleeves, pink_dress, tam_o'_shanter, closed_mouth, smile, solo, standing, blush, looking_at_viewer, plaid, simple_background |
| 4 | 9 |  |  |  |  |  | 1girl, backpack, grey_cardigan, long_sleeves, looking_at_viewer, open_mouth, pink_dress, tam_o'_shanter, tongue, upper_teeth_only, :d, brown_bag, buttons, collared_dress, blush, hooded_cardigan, cable_knit, solo, holding_poke_ball, holding_strap, poke_ball_(basic), pokemon_(creature) |
| 5 | 18 |  |  |  |  |  | 1girl, dynamax_band, collared_shirt, looking_at_viewer, single_glove, eyelashes, open_mouth, white_shorts, blush, solo, :d, tongue, striped, holding_poke_ball, poke_ball_(basic), teeth, long_sleeves, pokemon_(creature), print_shirt |
| 6 | 9 |  |  |  |  |  | 1girl, black_gloves, helmet, orange_jacket, backpack, looking_at_viewer, black_headwear, closed_mouth, long_sleeves, arm_ribbon, blush, dynamax_band, eyelashes, orange_pants, poke_ball_(basic), red_ribbon, brown_bag, holding_poke_ball, solo, pokemon_(creature), snowing |
| 7 | 10 |  |  |  |  |  | 1girl, eyelashes, hair_flower, blue_shirt, necklace, sleeveless_shirt, official_alternate_costume, open_mouth, tongue, :d, blue_sarong, blush, looking_at_viewer, navel, collarbone, day, outdoors, wrist_scrunchie, cloud, sky, solo, water, pink_flower, pokemon_(creature), upper_teeth_only |
| 8 | 5 |  |  |  |  |  | 1girl, blush, hetero, nipples, penis, 1boy, collarbone, completely_nude, looking_at_viewer, navel, solo_focus, closed_mouth, mosaic_censoring, pussy, sex, smile, spread_legs, sweat, dark-skinned_male, eyelashes, indoors, interracial, medium_breasts, tam_o'_shanter, vaginal |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | backpack | blush | grey_cardigan | long_sleeves | looking_at_viewer | pink_dress | tam_o'_shanter | white_background | simple_background | smile | solo | closed_mouth | collared_dress | holding_strap | hooded_cardigan | cowboy_shot | brown_bag | hood_down | holding_poke_ball | poke_ball_(basic) | upper_body | boots | brown_footwear | full_body | green_socks | open_mouth | :d | standing | teeth | tongue | buttons | plaid | upper_teeth_only | cable_knit | pokemon_(creature) | dynamax_band | collared_shirt | single_glove | eyelashes | white_shorts | striped | print_shirt | black_gloves | helmet | orange_jacket | black_headwear | arm_ribbon | orange_pants | red_ribbon | snowing | hair_flower | blue_shirt | necklace | sleeveless_shirt | official_alternate_costume | blue_sarong | navel | collarbone | day | outdoors | wrist_scrunchie | cloud | sky | water | pink_flower | hetero | nipples | penis | 1boy | completely_nude | solo_focus | mosaic_censoring | pussy | sex | spread_legs | sweat | dark-skinned_male | indoors | interracial | medium_breasts | vaginal |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------|:--------|:----------------|:---------------|:--------------------|:-------------|:-----------------|:-------------------|:--------------------|:--------|:-------|:---------------|:-----------------|:----------------|:------------------|:--------------|:------------|:------------|:--------------------|:--------------------|:-------------|:--------|:-----------------|:------------|:--------------|:-------------|:-----|:-----------|:--------|:---------|:----------|:--------|:-------------------|:-------------|:---------------------|:---------------|:-----------------|:---------------|:------------|:---------------|:----------|:--------------|:---------------|:---------|:----------------|:-----------------|:-------------|:---------------|:-------------|:----------|:--------------|:-------------|:-----------|:-------------------|:-----------------------------|:--------------|:--------|:-------------|:------|:-----------|:------------------|:--------|:------|:--------|:--------------|:---------|:----------|:--------|:-------|:------------------|:-------------|:-------------------|:--------|:------|:--------------|:--------|:--------------------|:----------|:--------------|:-----------------|:----------|
| 0 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 16 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 6 |  |  |  |  |  | X | X | X | X | X | X | X | X | | X | 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 | | | | | | X | X | | | X | X | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 18 |  |  |  |  |  | X | | X | | X | X | | | | | | X | | | | | | | | X | X | | | | | | X | X | | X | X | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 9 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | |
| 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 |
|
CyberHarem/yuri_pokemon
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T14:02:58+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-16T17:12:11+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of yuri (Pokรฉmon)
=========================
This is the dataset of yuri (Pokรฉmon), containing 500 images and their tags.
The core tags of this character are 'brown\_hair, short\_hair, brown\_eyes, bangs, hat, green\_headwear, bob\_cut', 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"
] |
35d8a75b732842d9737aa85bb9c2b73a588dd6b6
|
Dแปฏ liแปu tiแบฟng Viแปt tแปซ https://hplt-project.org/datasets/v1, loแบกi bแป nhแปฏng dแปฏ liแปu tแปซ Common Crawl (CC)
Thแปng kรช theo tรชn miแปn
```
SIZE DOCS DOMAIN
- - - - - - - - - - - - - - - - - - - - - - - -
40855.5mb 3586.6k http://dongtrieu.edu.vn
30012.1mb 112.8k http://hamtruyentranh.net
13323.0mb 1105.4k http://datviet2.com
12550.3mb 945.8k http://vatgia.com
11049.2mb 899.2k http://thanglongkydao.com
9682.3mb 297.1k http://sieuthi1900.com
8378.7mb 251.8k http://dailyvina.com
8144.4mb 764.8k http://vietnamese.alibaba.com
7514.7mb 24.2k http://ijavn.org
7213.7mb 1040.7k http://vietmon.com
...
```
Thแปng kรช ฤแบงy ฤแปง tแบกi https://huggingface.co/datasets/tiendung/hplt-vi/raw/main/_url_stats.txt
|
Symato/hplt-vi
|
[
"region:us"
] |
2023-09-10T14:08:43+00:00
|
{}
|
2023-10-19T11:11:20+00:00
|
[] |
[] |
TAGS
#region-us
|
Dแปฏ liแปu tiแบฟng Viแปt tแปซ URL loแบกi bแป nhแปฏng dแปฏ liแปu tแปซ Common Crawl (CC)
Thแปng kรช theo tรชn miแปn
Thแปng kรช ฤแบงy ฤแปง tแบกi URL
|
[] |
[
"TAGS\n#region-us \n"
] |
[
6
] |
[
"passage: TAGS\n#region-us \n"
] |
d5d5a6f2c3ecee852c744e61fec86fd69e300632
|
# Dataset Card for "test_result_large_synthesis_data_ver2"
[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_ver2
|
[
"region:us"
] |
2023-09-10T14:26:55+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "w2v2_baseline_transcription", "dtype": "string"}, {"name": "w2v_baseline_norm", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 208073, "num_examples": 1299}], "download_size": 109270, "dataset_size": 208073}}
|
2023-09-10T14:26:56+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "test_result_large_synthesis_data_ver2"
More Information needed
|
[
"# Dataset Card for \"test_result_large_synthesis_data_ver2\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"test_result_large_synthesis_data_ver2\"\n\nMore Information needed"
] |
[
6,
26
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"test_result_large_synthesis_data_ver2\"\n\nMore Information needed"
] |
9b25033f7e0a049f88e320a19dd7bed84de87f79
|
# Dataset Card for "Data_Services"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
YoussefThabet/Data_Services
|
[
"region:us"
] |
2023-09-10T14:27:28+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": 170371, "dataset_size": 3620222}}
|
2023-09-11T08:14:50+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "Data_Services"
More Information needed
|
[
"# Dataset Card for \"Data_Services\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"Data_Services\"\n\nMore Information needed"
] |
[
6,
14
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"Data_Services\"\n\nMore Information needed"
] |
e947797ea1588457683a577856d6089290014709
|
# Dataset Card for "gia-dataset-parquet-debug-mujoco"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
edbeeching/gia-dataset-parquet-debug-mujoco
|
[
"region:us"
] |
2023-09-10T14:39:36+00:00
|
{"dataset_info": {"config_name": "mujoco-ant", "features": [{"name": "continuous_observations", "sequence": {"sequence": "float32", "length": 27}}, {"name": "continuous_actions", "sequence": {"sequence": "float32", "length": 8}}, {"name": "rewards", "sequence": "float32"}], "splits": [{"name": "test", "num_bytes": 288024, "num_examples": 2}, {"name": "train", "num_bytes": 288024, "num_examples": 2}], "download_size": 858378, "dataset_size": 576048}, "configs": [{"config_name": "mujoco-ant", "data_files": [{"split": "test", "path": "mujoco-ant/test-*"}, {"split": "train", "path": "mujoco-ant/train-*"}]}]}
|
2023-09-10T14:39:47+00:00
|
[] |
[] |
TAGS
#region-us
|
# Dataset Card for "gia-dataset-parquet-debug-mujoco"
More Information needed
|
[
"# Dataset Card for \"gia-dataset-parquet-debug-mujoco\"\n\nMore Information needed"
] |
[
"TAGS\n#region-us \n",
"# Dataset Card for \"gia-dataset-parquet-debug-mujoco\"\n\nMore Information needed"
] |
[
6,
24
] |
[
"passage: TAGS\n#region-us \n# Dataset Card for \"gia-dataset-parquet-debug-mujoco\"\n\nMore Information needed"
] |
f68424a757b7889296fbabf7f34b061a48f207ae
|
# Dataset of tamamo_cat/ใฟใใขใญใฃใใ/็่ป็ซ (Fate/Grand Order)
This is the dataset of tamamo_cat/ใฟใใขใญใฃใใ/็่ป็ซ (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are `animal_ears, fox_ears, pink_hair, long_hair, breasts, fox_tail, tail, yellow_eyes, animal_ear_fluff, large_breasts, ponytail, fox_girl, bow, hair_bow, maid_headdress, bangs, hair_between_eyes, ribbon, red_bow, hair_ribbon, fang, fangs, 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 | 761.12 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tamamo_cat_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 405.71 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tamamo_cat_fgo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1287 | 924.98 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tamamo_cat_fgo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 659.36 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tamamo_cat_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1287 | 1.34 GiB | [Download](https://huggingface.co/datasets/CyberHarem/tamamo_cat_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_cat_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, blush, cat_hair_ornament, collar, jingle_bell, looking_at_viewer, naked_apron, neck_bell, open_mouth, paw_gloves, solo, cat_paws, cleavage, paw_shoes, red_ribbon, sideboob, simple_background, smile, white_background |
| 1 | 5 |  |  |  |  |  | 1girl, blush, cat_hair_ornament, cleavage, collar, jingle_bell, looking_at_viewer, naked_apron, neck_bell, open_mouth, paw_gloves, smile, solo, bare_shoulders, white_apron, cat_paws, sideboob, thighs |
| 2 | 34 |  |  |  |  |  | 1girl, collar, jingle_bell, neck_bell, solo, maid_apron, paw_gloves, looking_at_viewer, open_mouth, cat_paws, enmaided, red_ribbon, blush, simple_background, white_background |
| 3 | 9 |  |  |  |  |  | 1girl, collar, jingle_bell, neck_bell, paw_gloves, puffy_short_sleeves, solo, white_apron, black_dress, blush, looking_at_viewer, maid_apron, open_mouth, white_background, smile, simple_background, frilled_apron, white_thighhighs |
| 4 | 15 |  |  |  |  |  | 1girl, bare_shoulders, cleavage, collar, detached_sleeves, jingle_bell, looking_at_viewer, neck_bell, paw_gloves, smile, solo, obi, open_mouth, red_kimono, black_thighhighs, blush, wide_sleeves, cat_paws, simple_background, white_background, thighs, long_sleeves |
| 5 | 11 |  |  |  |  |  | 1girl, cat_paws, cleavage, jingle_bell, neck_bell, paw_gloves, solo, bare_shoulders, detached_sleeves, looking_at_viewer, red_ribbon, red_kimono, open_mouth, simple_background, white_background, blush, black_thighhighs, collarbone |
| 6 | 22 |  |  |  |  |  | 1girl, blush, collar, neck_bell, paw_gloves, jingle_bell, nipples, solo, open_mouth, looking_at_viewer, navel, nude, female_pubic_hair, thighs, smile, simple_background, pussy |
| 7 | 11 |  |  |  |  |  | 1girl, collar, smile, solo, visor_cap, apron, blush, jingle_bell, neck_bell, open_mouth, paw_gloves, striped_dress, looking_at_viewer, puffy_short_sleeves, red_thighhighs, character_name, roller_skates, tray, cleavage, cup, name_tag, claws, clothes_writing, frills, one_eye_closed, ice_cream, parfait |
| 8 | 8 |  |  |  |  |  | 1boy, blush, hetero, solo_focus, 1girl, collar, jingle_bell, neck_bell, nipples, paizuri, penis, paw_gloves, looking_at_viewer, open_mouth, red_ribbon, breasts_squeezed_together, cat_hair_ornament, cat_paws, mosaic_censoring, ejaculation, heart, naked_apron |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | blush | cat_hair_ornament | collar | jingle_bell | looking_at_viewer | naked_apron | neck_bell | open_mouth | paw_gloves | solo | cat_paws | cleavage | paw_shoes | red_ribbon | sideboob | simple_background | smile | white_background | bare_shoulders | white_apron | thighs | maid_apron | enmaided | puffy_short_sleeves | black_dress | frilled_apron | white_thighhighs | detached_sleeves | obi | red_kimono | black_thighhighs | wide_sleeves | long_sleeves | collarbone | nipples | navel | nude | female_pubic_hair | pussy | visor_cap | apron | striped_dress | red_thighhighs | character_name | roller_skates | tray | cup | name_tag | claws | clothes_writing | frills | one_eye_closed | ice_cream | parfait | 1boy | hetero | solo_focus | paizuri | penis | breasts_squeezed_together | mosaic_censoring | ejaculation | heart |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:--------------------|:---------|:--------------|:--------------------|:--------------|:------------|:-------------|:-------------|:-------|:-----------|:-----------|:------------|:-------------|:-----------|:--------------------|:--------|:-------------------|:-----------------|:--------------|:---------|:-------------|:-----------|:----------------------|:--------------|:----------------|:-------------------|:-------------------|:------|:-------------|:-------------------|:---------------|:---------------|:-------------|:----------|:--------|:-------|:--------------------|:--------|:------------|:--------|:----------------|:-----------------|:-----------------|:----------------|:-------|:------|:-----------|:--------|:------------------|:---------|:-----------------|:------------|:----------|:-------|:---------|:-------------|:----------|:--------|:----------------------------|:-------------------|:--------------|:--------|
| 0 | 16 |  |  |  |  |  | X | X | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 34 |  |  |  |  |  | X | X | | X | X | 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 | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 15 |  |  |  |  |  | X | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 22 |  |  |  |  |  | X | X | | X | X | X | | X | X | X | X | | | | | | X | X | | | | X | | | | | | | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 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 | | | | | | | | | |
| 8 | 8 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | | X | | | X | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X |
|
CyberHarem/tamamo_cat_fgo
|
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
2023-09-10T14:59:45+00:00
|
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
|
2024-01-12T00:35:51+00:00
|
[] |
[] |
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
|
Dataset of tamamo\_cat/ใฟใใขใญใฃใใ/็่ป็ซ (Fate/Grand Order)
=====================================================
This is the dataset of tamamo\_cat/ใฟใใขใญใฃใใ/็่ป็ซ (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are 'animal\_ears, fox\_ears, pink\_hair, long\_hair, breasts, fox\_tail, tail, yellow\_eyes, animal\_ear\_fluff, large\_breasts, ponytail, fox\_girl, bow, hair\_bow, maid\_headdress, bangs, hair\_between\_eyes, ribbon, red\_bow, hair\_ribbon, fang, fangs, 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"
] |
95e3a94100aa39a5cf93091215b7d88d7928fa6a
|
# Dataset Card for "KoAlpaca-v1.1a"
## Project Repo
- Github Repo: [Beomi/KoAlpaca](https://github.com/Beomi/KoAlpaca)
## How to use
```python
>>> from datasets import load_dataset
>>> ds = load_dataset("beomi/KoAlpaca-v1.1a", split="train")
>>> ds
Dataset({
features: ['instruction', 'input', 'output'],
num_rows: 21155
})
```
```python
>>> ds[0]
{'instruction': '์ํ๋ ์ด๋ค ์๋ฌผ ๋ถ์์ธ๊ฐ์? ๊ทธ๋ฆฌ๊ณ ๊ณ ๊ตฌ๋ง๋ ๋ฟ๋ฆฌ์ธ๊ฐ์?',
'output': '์ํ๋ ์์ด ์๋ ์๋ฌผ์ ์ค๊ธฐ ๋ถ๋ถ์
๋๋ค. ๊ณ ๊ตฌ๋ง๋ ์๋ฌผ์ ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค. \n\n์๋ฌผ์ ๋ถ์์ ๊ตฌ๋ถ์ ๋ํด ๊ถ๊ธํดํ๋ ๋ถ์ด๋ผ๋ฉด ๋ถ๋ช
์ด ์ง๋ฌธ์ ๋ํ ๋ต์ ์ฐพ๊ณ ์์ ๊ฒ์
๋๋ค. ์ํ๋ ์์ด ์๋ ์ค๊ธฐ ๋ถ๋ถ์
๋๋ค. ๊ณ ๊ตฌ๋ง๋ ๋ค๋ฅธ ์ง๋ฌธ๊ณผ ๋ต๋ณ์์ ์ธ๊ธ๋ ๊ฒ๊ณผ ๊ฐ์ด ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค. ๋ฐ๋ผ์, ์ํ๋ ์๋ฌผ์ ์ค๊ธฐ ๋ถ๋ถ์ด ๋๊ณ , ๊ณ ๊ตฌ๋ง๋ ์๋ฌผ์ ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค.\n\n ๋ง๋ถ์ด๋ ๋ต๋ณ: ๊ณ ๊ตฌ๋ง ์ค๊ธฐ๋ ๋ณถ์๋จน์ ์ ์๋์? \n\n๊ณ ๊ตฌ๋ง ์ค๊ธฐ๋ ์์ฉ์ผ๋ก ๋ณถ์๋จน์ ์ ์์ต๋๋ค. ํ์ง๋ง ์ค๊ธฐ ๋ฟ๋ง ์๋๋ผ, ์, ์จ, ๋ฟ๋ฆฌ๊น์ง ๋ชจ๋ ๋ถ์๊ฐ ์์ฉ์ผ๋ก ํ์ฉ๋๊ธฐ๋ ํฉ๋๋ค. ๋ค๋ง, ํ๊ตญ์์๋ ์ผ๋ฐ์ ์ผ๋ก ๋ฟ๋ฆฌ ๋ถ๋ถ์ธ ๊ณ ๊ตฌ๋ง๋ฅผ ์ฃผ๋ก ๋จน์ต๋๋ค.',
'url': 'https://kin.naver.com/qna/detail.naver?d1id=11&dirId=1116&docId=55320268'}
|
Taegyuu/KoAlpaca-v1.1a
|
[
"task_categories:text-generation",
"language:ko",
"KoAlpaca",
"region:us"
] |
2023-09-10T15:00:48+00:00
|
{"language": ["ko"], "task_categories": ["text-generation"], "pretty_name": "KoAlpaca-v1.1a", "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23371027, "num_examples": 21155}], "download_size": 12856014, "dataset_size": 23371027}, "tags": ["KoAlpaca"]}
|
2023-09-10T15:04:27+00:00
|
[] |
[
"ko"
] |
TAGS
#task_categories-text-generation #language-Korean #KoAlpaca #region-us
|
# Dataset Card for "KoAlpaca-v1.1a"
## Project Repo
- Github Repo: Beomi/KoAlpaca
## How to use
'''python
>>> ds[0]
{'instruction': '์ํ๋ ์ด๋ค ์๋ฌผ ๋ถ์์ธ๊ฐ์? ๊ทธ๋ฆฌ๊ณ ๊ณ ๊ตฌ๋ง๋ ๋ฟ๋ฆฌ์ธ๊ฐ์?',
'output': '์ํ๋ ์์ด ์๋ ์๋ฌผ์ ์ค๊ธฐ ๋ถ๋ถ์
๋๋ค. ๊ณ ๊ตฌ๋ง๋ ์๋ฌผ์ ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค. \n\n์๋ฌผ์ ๋ถ์์ ๊ตฌ๋ถ์ ๋ํด ๊ถ๊ธํดํ๋ ๋ถ์ด๋ผ๋ฉด ๋ถ๋ช
์ด ์ง๋ฌธ์ ๋ํ ๋ต์ ์ฐพ๊ณ ์์ ๊ฒ์
๋๋ค. ์ํ๋ ์์ด ์๋ ์ค๊ธฐ ๋ถ๋ถ์
๋๋ค. ๊ณ ๊ตฌ๋ง๋ ๋ค๋ฅธ ์ง๋ฌธ๊ณผ ๋ต๋ณ์์ ์ธ๊ธ๋ ๊ฒ๊ณผ ๊ฐ์ด ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค. ๋ฐ๋ผ์, ์ํ๋ ์๋ฌผ์ ์ค๊ธฐ ๋ถ๋ถ์ด ๋๊ณ , ๊ณ ๊ตฌ๋ง๋ ์๋ฌผ์ ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค.\n\n ๋ง๋ถ์ด๋ ๋ต๋ณ: ๊ณ ๊ตฌ๋ง ์ค๊ธฐ๋ ๋ณถ์๋จน์ ์ ์๋์? \n\n๊ณ ๊ตฌ๋ง ์ค๊ธฐ๋ ์์ฉ์ผ๋ก ๋ณถ์๋จน์ ์ ์์ต๋๋ค. ํ์ง๋ง ์ค๊ธฐ ๋ฟ๋ง ์๋๋ผ, ์, ์จ, ๋ฟ๋ฆฌ๊น์ง ๋ชจ๋ ๋ถ์๊ฐ ์์ฉ์ผ๋ก ํ์ฉ๋๊ธฐ๋ ํฉ๋๋ค. ๋ค๋ง, ํ๊ตญ์์๋ ์ผ๋ฐ์ ์ผ๋ก ๋ฟ๋ฆฌ ๋ถ๋ถ์ธ ๊ณ ๊ตฌ๋ง๋ฅผ ์ฃผ๋ก ๋จน์ต๋๋ค.',
'url': 'URL
|
[
"# Dataset Card for \"KoAlpaca-v1.1a\"",
"## Project Repo\n\n- Github Repo: Beomi/KoAlpaca",
"## How to use\n\n\n\n\n'''python\n>>> ds[0]\n{'instruction': '์ํ๋ ์ด๋ค ์๋ฌผ ๋ถ์์ธ๊ฐ์? ๊ทธ๋ฆฌ๊ณ ๊ณ ๊ตฌ๋ง๋ ๋ฟ๋ฆฌ์ธ๊ฐ์?',\n 'output': '์ํ๋ ์์ด ์๋ ์๋ฌผ์ ์ค๊ธฐ ๋ถ๋ถ์
๋๋ค. ๊ณ ๊ตฌ๋ง๋ ์๋ฌผ์ ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค. \\n\\n์๋ฌผ์ ๋ถ์์ ๊ตฌ๋ถ์ ๋ํด ๊ถ๊ธํดํ๋ ๋ถ์ด๋ผ๋ฉด ๋ถ๋ช
์ด ์ง๋ฌธ์ ๋ํ ๋ต์ ์ฐพ๊ณ ์์ ๊ฒ์
๋๋ค. ์ํ๋ ์์ด ์๋ ์ค๊ธฐ ๋ถ๋ถ์
๋๋ค. ๊ณ ๊ตฌ๋ง๋ ๋ค๋ฅธ ์ง๋ฌธ๊ณผ ๋ต๋ณ์์ ์ธ๊ธ๋ ๊ฒ๊ณผ ๊ฐ์ด ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค. ๋ฐ๋ผ์, ์ํ๋ ์๋ฌผ์ ์ค๊ธฐ ๋ถ๋ถ์ด ๋๊ณ , ๊ณ ๊ตฌ๋ง๋ ์๋ฌผ์ ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค.\\n\\n ๋ง๋ถ์ด๋ ๋ต๋ณ: ๊ณ ๊ตฌ๋ง ์ค๊ธฐ๋ ๋ณถ์๋จน์ ์ ์๋์? \\n\\n๊ณ ๊ตฌ๋ง ์ค๊ธฐ๋ ์์ฉ์ผ๋ก ๋ณถ์๋จน์ ์ ์์ต๋๋ค. ํ์ง๋ง ์ค๊ธฐ ๋ฟ๋ง ์๋๋ผ, ์, ์จ, ๋ฟ๋ฆฌ๊น์ง ๋ชจ๋ ๋ถ์๊ฐ ์์ฉ์ผ๋ก ํ์ฉ๋๊ธฐ๋ ํฉ๋๋ค. ๋ค๋ง, ํ๊ตญ์์๋ ์ผ๋ฐ์ ์ผ๋ก ๋ฟ๋ฆฌ ๋ถ๋ถ์ธ ๊ณ ๊ตฌ๋ง๋ฅผ ์ฃผ๋ก ๋จน์ต๋๋ค.',\n 'url': 'URL"
] |
[
"TAGS\n#task_categories-text-generation #language-Korean #KoAlpaca #region-us \n",
"# Dataset Card for \"KoAlpaca-v1.1a\"",
"## Project Repo\n\n- Github Repo: Beomi/KoAlpaca",
"## How to use\n\n\n\n\n'''python\n>>> ds[0]\n{'instruction': '์ํ๋ ์ด๋ค ์๋ฌผ ๋ถ์์ธ๊ฐ์? ๊ทธ๋ฆฌ๊ณ ๊ณ ๊ตฌ๋ง๋ ๋ฟ๋ฆฌ์ธ๊ฐ์?',\n 'output': '์ํ๋ ์์ด ์๋ ์๋ฌผ์ ์ค๊ธฐ ๋ถ๋ถ์
๋๋ค. ๊ณ ๊ตฌ๋ง๋ ์๋ฌผ์ ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค. \\n\\n์๋ฌผ์ ๋ถ์์ ๊ตฌ๋ถ์ ๋ํด ๊ถ๊ธํดํ๋ ๋ถ์ด๋ผ๋ฉด ๋ถ๋ช
์ด ์ง๋ฌธ์ ๋ํ ๋ต์ ์ฐพ๊ณ ์์ ๊ฒ์
๋๋ค. ์ํ๋ ์์ด ์๋ ์ค๊ธฐ ๋ถ๋ถ์
๋๋ค. ๊ณ ๊ตฌ๋ง๋ ๋ค๋ฅธ ์ง๋ฌธ๊ณผ ๋ต๋ณ์์ ์ธ๊ธ๋ ๊ฒ๊ณผ ๊ฐ์ด ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค. ๋ฐ๋ผ์, ์ํ๋ ์๋ฌผ์ ์ค๊ธฐ ๋ถ๋ถ์ด ๋๊ณ , ๊ณ ๊ตฌ๋ง๋ ์๋ฌผ์ ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค.\\n\\n ๋ง๋ถ์ด๋ ๋ต๋ณ: ๊ณ ๊ตฌ๋ง ์ค๊ธฐ๋ ๋ณถ์๋จน์ ์ ์๋์? \\n\\n๊ณ ๊ตฌ๋ง ์ค๊ธฐ๋ ์์ฉ์ผ๋ก ๋ณถ์๋จน์ ์ ์์ต๋๋ค. ํ์ง๋ง ์ค๊ธฐ ๋ฟ๋ง ์๋๋ผ, ์, ์จ, ๋ฟ๋ฆฌ๊น์ง ๋ชจ๋ ๋ถ์๊ฐ ์์ฉ์ผ๋ก ํ์ฉ๋๊ธฐ๋ ํฉ๋๋ค. ๋ค๋ง, ํ๊ตญ์์๋ ์ผ๋ฐ์ ์ผ๋ก ๋ฟ๋ฆฌ ๋ถ๋ถ์ธ ๊ณ ๊ตฌ๋ง๋ฅผ ์ฃผ๋ก ๋จน์ต๋๋ค.',\n 'url': 'URL"
] |
[
27,
15,
18,
251
] |
[
"passage: TAGS\n#task_categories-text-generation #language-Korean #KoAlpaca #region-us \n# Dataset Card for \"KoAlpaca-v1.1a\"## Project Repo\n\n- Github Repo: Beomi/KoAlpaca## How to use\n\n\n\n\n'''python\n>>> ds[0]\n{'instruction': '์ํ๋ ์ด๋ค ์๋ฌผ ๋ถ์์ธ๊ฐ์? ๊ทธ๋ฆฌ๊ณ ๊ณ ๊ตฌ๋ง๋ ๋ฟ๋ฆฌ์ธ๊ฐ์?',\n 'output': '์ํ๋ ์์ด ์๋ ์๋ฌผ์ ์ค๊ธฐ ๋ถ๋ถ์
๋๋ค. ๊ณ ๊ตฌ๋ง๋ ์๋ฌผ์ ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค. \\n\\n์๋ฌผ์ ๋ถ์์ ๊ตฌ๋ถ์ ๋ํด ๊ถ๊ธํดํ๋ ๋ถ์ด๋ผ๋ฉด ๋ถ๋ช
์ด ์ง๋ฌธ์ ๋ํ ๋ต์ ์ฐพ๊ณ ์์ ๊ฒ์
๋๋ค. ์ํ๋ ์์ด ์๋ ์ค๊ธฐ ๋ถ๋ถ์
๋๋ค. ๊ณ ๊ตฌ๋ง๋ ๋ค๋ฅธ ์ง๋ฌธ๊ณผ ๋ต๋ณ์์ ์ธ๊ธ๋ ๊ฒ๊ณผ ๊ฐ์ด ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค. ๋ฐ๋ผ์, ์ํ๋ ์๋ฌผ์ ์ค๊ธฐ ๋ถ๋ถ์ด ๋๊ณ , ๊ณ ๊ตฌ๋ง๋ ์๋ฌผ์ ๋ฟ๋ฆฌ ๋ถ๋ถ์
๋๋ค.\\n\\n ๋ง๋ถ์ด๋ ๋ต๋ณ: ๊ณ ๊ตฌ๋ง ์ค๊ธฐ๋ ๋ณถ์๋จน์ ์ ์๋์? \\n\\n๊ณ ๊ตฌ๋ง ์ค๊ธฐ๋ ์์ฉ์ผ๋ก ๋ณถ์๋จน์ ์ ์์ต๋๋ค. ํ์ง๋ง ์ค๊ธฐ ๋ฟ๋ง ์๋๋ผ, ์, ์จ, ๋ฟ๋ฆฌ๊น์ง ๋ชจ๋ ๋ถ์๊ฐ ์์ฉ์ผ๋ก ํ์ฉ๋๊ธฐ๋ ํฉ๋๋ค. ๋ค๋ง, ํ๊ตญ์์๋ ์ผ๋ฐ์ ์ผ๋ก ๋ฟ๋ฆฌ ๋ถ๋ถ์ธ ๊ณ ๊ตฌ๋ง๋ฅผ ์ฃผ๋ก ๋จน์ต๋๋ค.',\n 'url': 'URL"
] |
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