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|---|---|---|---|---|---|---|
2fdddfefd82dae5bc19bd794f087ce9a6f825a1c
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_7_loca_7"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_7_loca_7
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13, "num_examples": 1}], "download_size": 0, "dataset_size": 13}}
|
2023-04-20T02:06:38+00:00
|
7e7936ce0334e3d24d02581a6e785360f2654a0a
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_2_loca_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_2_loca_2
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24, "num_examples": 1}], "download_size": 0, "dataset_size": 24}}
|
2023-04-20T02:06:38+00:00
|
b3d3f2dfde472d50718994903afdd204d961cada
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_1_loca_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_1_loca_1
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17, "num_examples": 1}], "download_size": 0, "dataset_size": 17}}
|
2023-04-20T02:06:37+00:00
|
14388ef4de143b2ca341fc36c09e44e460d9608e
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_11_loca_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_11_loca_3
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17, "num_examples": 1}], "download_size": 0, "dataset_size": 17}}
|
2023-04-20T02:06:37+00:00
|
87fcf4956d49d643826aaebe93642b54036e5a3d
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_3_loca_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_3_loca_3
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 41, "num_examples": 1}], "download_size": 0, "dataset_size": 41}}
|
2023-04-20T02:06:38+00:00
|
b95c552d997eeec318f1932d9edb0dd4ca6a6875
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_9_loca_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_9_loca_1
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 46, "num_examples": 1}], "download_size": 0, "dataset_size": 46}}
|
2023-04-20T02:06:38+00:00
|
116d1d9aab9589820d5c5cdf4ce6e43fd8a3b382
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_10_loca_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_10_loca_2
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15, "num_examples": 1}], "download_size": 0, "dataset_size": 15}}
|
2023-04-20T02:06:36+00:00
|
349637134ce86f70d71c4c1785e7f4ac8051ba04
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_13_loca_5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_13_loca_5
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 41, "num_examples": 1}], "download_size": 0, "dataset_size": 41}}
|
2023-04-20T02:06:38+00:00
|
dbf0b757420ddebcc9b7bbc8926416c206a68742
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_14_loca_6"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_14_loca_6
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15, "num_examples": 1}], "download_size": 0, "dataset_size": 15}}
|
2023-04-20T02:06:37+00:00
|
93320777f67a7f7bb9e8e243177763e547ee83ef
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_5_loca_5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_5_loca_5
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14, "num_examples": 1}], "download_size": 0, "dataset_size": 14}}
|
2023-04-20T02:06:38+00:00
|
4167747aedde46d230de5f5e5ff90ae44d24a442
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_0_loca_0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_0_loca_0
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15, "num_examples": 1}], "download_size": 0, "dataset_size": 15}}
|
2023-04-20T02:06:50+00:00
|
224aa064dce805c59b60854d34350e723d167ba4
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_6_loca_6"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_6_loca_6
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43, "num_examples": 1}], "download_size": 0, "dataset_size": 43}}
|
2023-04-20T02:06:38+00:00
|
2afa8038f820124e053309f32a828e6c59d0930a
|
# Dataset Card for "VQAv2_sample_validation_benchmarks_partition_global_4_loca_4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2_sample_validation_benchmarks_partition_global_4_loca_4
|
[
"region:us"
] |
2023-04-19T20:32:46+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15, "num_examples": 1}], "download_size": 0, "dataset_size": 15}}
|
2023-04-20T02:06:38+00:00
|
9ad6e2f776dc22a875a2b34a189a2418d23fd5a8
|
# MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
[Deyao Zhu](https://tsutikgiau.github.io/)* (On Job Market!), [Jun Chen](https://junchen14.github.io/)* (On Job Market!), [Xiaoqian Shen](https://xiaoqian-shen.github.io), [Xiang Li](https://xiangli.ac.cn), and [Mohamed Elhoseiny](https://www.mohamed-elhoseiny.com/). *Equal Contribution
**King Abdullah University of Science and Technology**
## Online Demo
Click the image to chat with MiniGPT-4 around your images
[](https://minigpt-4.github.io)
## Examples
| | |
:-------------------------:|:-------------------------:
 | 
 | 
More examples can be found in the [project page](https://minigpt-4.github.io).
## Introduction
- MiniGPT-4 aligns a frozen visual encoder from BLIP-2 with a frozen LLM, Vicuna, using just one projection layer.
- We train MiniGPT-4 with two stages. The first traditional pretraining stage is trained using roughly 5 million aligned image-text pairs in 10 hours using 4 A100s. After the first stage, Vicuna is able to understand the image. But the generation ability of Vicuna is heavilly impacted.
- To address this issue and improve usability, we propose a novel way to create high-quality image-text pairs by the model itself and ChatGPT together. Based on this, we then create a small (3500 pairs in total) yet high-quality dataset.
- The second finetuning stage is trained on this dataset in a conversation template to significantly improve its generation reliability and overall usability. To our surprise, this stage is computationally efficient and takes only around 7 minutes with a single A100.
- MiniGPT-4 yields many emerging vision-language capabilities similar to those demonstrated in GPT-4.
## Getting Started
### Installation
**1. Prepare the code and the environment**
Git clone our repository, creating a python environment and ativate it via the following command
```bash
git clone https://github.com/Vision-CAIR/MiniGPT-4.git
cd MiniGPT-4
conda env create -f environment.yml
conda activate minigpt4
```
**2. Prepare the pretrained Vicuna weights**
The current version of MiniGPT-4 is built on the v0 versoin of Vicuna-13B.
Please refer to our instruction [here](PrepareVicuna.md)
to prepare the Vicuna weights.
The final weights would be in a single folder with the following structure:
```
vicuna_weights
├── config.json
├── generation_config.json
├── pytorch_model.bin.index.json
├── pytorch_model-00001-of-00003.bin
...
```
Then, set the path to the vicuna weight in the model config file
[here](minigpt4/configs/models/minigpt4.yaml#L16) at Line 16.
**3. Prepare the pretrained MiniGPT-4 checkpoint**
To play with our pretrained model, download the pretrained checkpoint
[here](https://drive.google.com/file/d/1a4zLvaiDBr-36pasffmgpvH5P7CKmpze/view?usp=share_link).
Then, set the path to the pretrained checkpoint in the evaluation config file
in [eval_configs/minigpt4_eval.yaml](eval_configs/minigpt4_eval.yaml#L10) at Line 11.
### Launching Demo Locally
Try out our demo [demo.py](demo.py) on your local machine by running
```
python demo.py --cfg-path eval_configs/minigpt4_eval.yaml --gpu-id 0
```
Here, we load Vicuna as 8 bit by default to save some GPU memory usage.
Besides, the default beam search width is 1.
Under this setting, the demo cost about 23G GPU memory.
If you have a more powerful GPU with larger GPU memory, you can run the model
in 16 bit by setting low_resource to False in the config file
[minigpt4_eval.yaml](eval_configs/minigpt4_eval.yaml) and use a larger beam search width.
### Training
The training of MiniGPT-4 contains two alignment stages.
**1. First pretraining stage**
In the first pretrained stage, the model is trained using image-text pairs from Laion and CC datasets
to align the vision and language model. To download and prepare the datasets, please check
our [first stage dataset preparation instruction](dataset/README_1_STAGE.md).
After the first stage, the visual features are mapped and can be understood by the language
model.
To launch the first stage training, run the following command. In our experiments, we use 4 A100.
You can change the save path in the config file
[train_configs/minigpt4_stage1_pretrain.yaml](train_configs/minigpt4_stage1_pretrain.yaml)
```bash
torchrun --nproc-per-node NUM_GPU train.py --cfg-path train_configs/minigpt4_stage1_pretrain.yaml
```
A MiniGPT-4 checkpoint with only stage one training can be downloaded
[here](https://drive.google.com/file/d/1u9FRRBB3VovP1HxCAlpD9Lw4t4P6-Yq8/view?usp=share_link).
Compared to the model after stage two, this checkpoint generate incomplete and repeated sentences frequently.
**2. Second finetuning stage**
In the second stage, we use a small high quality image-text pair dataset created by ourselves
and convert it to a conversation format to further align MiniGPT-4.
To download and prepare our second stage dataset, please check our
[second stage dataset preparation instruction](dataset/README_2_STAGE.md).
To launch the second stage alignment,
first specify the path to the checkpoint file trained in stage 1 in
[train_configs/minigpt4_stage1_pretrain.yaml](train_configs/minigpt4_stage2_finetune.yaml).
You can also specify the output path there.
Then, run the following command. In our experiments, we use 1 A100.
```bash
torchrun --nproc-per-node NUM_GPU train.py --cfg-path train_configs/minigpt4_stage2_finetune.yaml
```
After the second stage alignment, MiniGPT-4 is able to talk about the image coherently and user-friendly.
## Acknowledgement
+ [BLIP2](https://huggingface.co/docs/transformers/main/model_doc/blip-2) The model architecture of MiniGPT-4 follows BLIP-2. Don't forget to check this great open-source work if you don't know it before!
+ [Lavis](https://github.com/salesforce/LAVIS) This repository is built upon Lavis!
+ [Vicuna](https://github.com/lm-sys/FastChat) The fantastic language ability of Vicuna with only 13B parameters is just amazing. And it is open-source!
If you're using MiniGPT-4 in your research or applications, please cite using this BibTeX:
```bibtex
@misc{zhu2022minigpt4,
title={MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models},
author={Deyao Zhu and Jun Chen and Xiaoqian Shen and xiang Li and Mohamed Elhoseiny},
year={2023},
}
```
## License
This repository is under [BSD 3-Clause License](LICENSE.md).
Many codes are based on [Lavis](https://github.com/salesforce/LAVIS) with
BSD 3-Clause License [here](LICENSE_Lavis.md).
|
Vision-CAIR/cc_sbu_align
|
[
"region:us"
] |
2023-04-19T20:45:46+00:00
|
{}
|
2023-04-19T21:21:39+00:00
|
5e2edf9ce89206ec6e0ee0cd841263b20c4f4f7c
|
Cats-Can/pelvic_images
|
[
"region:us"
] |
2023-04-19T21:00:29+00:00
|
{}
|
2023-04-22T11:31:16+00:00
|
|
17d473cb8290dbb85aa6dacd04a56eebe71798ac
|
benito0076/autogpt
|
[
"license:openrail",
"region:us"
] |
2023-04-19T21:13:23+00:00
|
{"license": "openrail"}
|
2023-04-19T21:13:23+00:00
|
|
1584e8223158471bbd9394758a2596fe26a75def
|
# Dataset Card for "cancer_test_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
SHS/cancer_test_data
|
[
"region:us"
] |
2023-04-19T21:45:19+00:00
|
{"dataset_info": {"features": [{"name": "passage", "dtype": "string"}, {"name": "passage_token", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 46724, "num_examples": 1}], "download_size": 22964, "dataset_size": 46724}}
|
2023-04-21T00:29:31+00:00
|
2696b882d81c3e7eb59791597eb9f5bb81252d12
|
# Dataset Card for "SheepsLAIONScribble"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
GreeneryScenery/SheepsLAIONScribble
|
[
"region:us"
] |
2023-04-19T22:05:14+00:00
|
{"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "scribble_image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 10902493221.0, "num_examples": 29000}], "download_size": 10891295272, "dataset_size": 10902493221.0}}
|
2023-04-20T00:59:15+00:00
|
0ce61309b95f48793b0fb74ef5f55115adcd8d29
|
houck2040/vet_med
|
[
"license:mit",
"region:us"
] |
2023-04-19T22:16:33+00:00
|
{"license": "mit"}
|
2023-04-19T22:17:08+00:00
|
|
714ccd0c56db407e8ec837abb7e14ad2731cc4f1
|
# Dataset Card for "vicuna_alpaca_hc3_chatml"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
sam-mosaic/vicuna_alpaca_hc3_chatml
|
[
"language:en",
"region:us"
] |
2023-04-19T23:33:01+00:00
|
{"language": "en", "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 387859366, "num_examples": 170637}], "download_size": 146603814, "dataset_size": 387859366}}
|
2023-07-17T23:29:05+00:00
|
20477fc8a259e1c0135eec20b51289a3338d02e0
|
# Dataset Card for "code-exchange"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
bigcode/code-exchange
|
[
"region:us"
] |
2023-04-20T00:05:29+00:00
|
{"dataset_info": {"features": [{"name": "qid", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "answers", "list": [{"name": "answer_id", "dtype": "int64"}, {"name": "author", "dtype": "string"}, {"name": "author_id", "dtype": "int64"}, {"name": "author_profile", "dtype": "string"}, {"name": "pm_score", "dtype": "int64"}, {"name": "selected", "dtype": "bool"}, {"name": "text", "dtype": "string"}]}, {"name": "date", "dtype": "string"}, {"name": "metadata", "sequence": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 49109718161.00354, "num_examples": 7658345}], "download_size": 22205153192, "dataset_size": 49109718161.00354}}
|
2023-04-20T00:45:19+00:00
|
5abc00534a0237c9c1f08961e7ea8648928d1d7a
|
# Dataset Card for "VQAv2Validation_ViT_L_14_A_T_C_Q_benchmarks"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Multimodal-Fatima/VQAv2Validation_ViT_L_14_A_T_C_Q_benchmarks
|
[
"region:us"
] |
2023-04-20T00:13:03+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 98390484, "num_examples": 214354}], "download_size": 19492982, "dataset_size": 98390484}}
|
2023-04-20T00:13:06+00:00
|
63f03f0e6dce02b6440df3aa52b2b20d996dbe8f
|
This dataset repository contains the [TFRecord](https://www.tensorflow.org/tutorials/load_data/tfrecord) shards of the [WikText (v1) dataset](https://huggingface.co/datasets/wikitext.
We used [this script](https://github.com/huggingface/transformers/blob/main/examples/tensorflow/language-modeling-tpu/prepare_tfrecord_shards.py) to prepare these TFRecord shards.
For more details on how these TFRecord shards should be used, refer to the following tutorial: [Training a masked language model end-to-end from scratch on TPUs
](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/language-modeling-tpu).
|
tf-tpu/wikitext-v1-tfrecords
|
[
"region:us"
] |
2023-04-20T00:27:58+00:00
|
{}
|
2023-04-20T00:42:06+00:00
|
a97a4cce68ae265efa347ccb0944454a477245c0
|
## CLUECorpusSmall数据集
|
HJHGJGHHG/ClueCorpusSmall
|
[
"language:zh",
"region:us"
] |
2023-04-20T00:34:23+00:00
|
{"language": ["zh"]}
|
2023-04-20T00:54:37+00:00
|
87a24a8f814425a04efb218372dfa9d5e8a1ab12
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Multimodal-Fatima/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks
|
[
"region:us"
] |
2023-04-20T00:38:45+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 88893632, "num_examples": 214354}], "download_size": 17611232, "dataset_size": 88893632}}
|
2023-04-20T00:38:51+00:00
|
1d4808fa1fa3a3d3367fe17e669fa92c65901d48
|
# Dataset Card for "VQAv2Test_ViT_H_14_A_T_C_Q_benchmarks"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Multimodal-Fatima/VQAv2Test_ViT_H_14_A_T_C_Q_benchmarks
|
[
"region:us"
] |
2023-04-20T00:46:34+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 189617407, "num_examples": 447793}], "download_size": 37074217, "dataset_size": 189617407}}
|
2023-04-20T00:46:41+00:00
|
e434f0a00252857cfb989790586f9175e84188fc
|
# Dataset Card for "VQAv2Test_ViT_L_14_A_T_C_Q_benchmarks"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Multimodal-Fatima/VQAv2Test_ViT_L_14_A_T_C_Q_benchmarks
|
[
"region:us"
] |
2023-04-20T00:59:25+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 205041799, "num_examples": 447793}], "download_size": 39739273, "dataset_size": 205041799}}
|
2023-04-20T00:59:32+00:00
|
6e99674d5b656c79aa20e47572d062c8ca4bed1d
|
# Dataset Card for "SheepsNetScribble"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
GreeneryScenery/SheepsNetScribble
|
[
"region:us"
] |
2023-04-20T01:12:08+00:00
|
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "conditioning_image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "scribble_image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1605638903.06, "num_examples": 22719}], "download_size": 1340432205, "dataset_size": 1605638903.06}}
|
2023-04-20T01:27:52+00:00
|
a83d2e22bd14b1ca613d2fd1b546e78059d4ff7c
|
leocnj/alpaca_dschat
|
[
"license:apache-2.0",
"region:us"
] |
2023-04-20T01:25:05+00:00
|
{"license": "apache-2.0"}
|
2023-04-20T01:31:17+00:00
|
|
b730a70e9b26dd216e003d204f8c4b3e4970b7c3
|
fjd/scannet_sample
|
[
"license:cc-by-nc-nd-4.0",
"region:us"
] |
2023-04-20T01:38:05+00:00
|
{"license": "cc-by-nc-nd-4.0"}
|
2023-04-20T01:45:11+00:00
|
|
419fa6fa3270c6b43326228ab17d71a3c564a728
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_8_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_8_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 961, "num_examples": 32}], "download_size": 2086, "dataset_size": 961}}
|
2023-04-20T14:52:10+00:00
|
14d8886f669e0bd38a25de680bc98ab99ce7e395
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_5_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_5_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 937, "num_examples": 32}], "download_size": 1972, "dataset_size": 937}}
|
2023-04-20T14:51:38+00:00
|
4aedac76b6b5147945fa0da60cb701e03dec7fb0
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_3_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_3_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1037, "num_examples": 32}], "download_size": 2262, "dataset_size": 1037}}
|
2023-04-20T14:51:46+00:00
|
64501be0e84728ef41dadf29004669b9bbf6566c
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_11_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_11_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 812, "num_examples": 32}], "download_size": 1952, "dataset_size": 812}}
|
2023-04-20T14:51:51+00:00
|
993a5dab6ab757703c3ffb462ed797c023694e1f
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_15_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_15_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 971, "num_examples": 32}], "download_size": 2157, "dataset_size": 971}}
|
2023-04-20T14:52:01+00:00
|
5007db39e506499657b84b576d384dd4a1db376a
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_1_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_1_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3680, "num_examples": 125}], "download_size": 0, "dataset_size": 3680}}
|
2023-04-20T14:51:33+00:00
|
8dd26f8f55115ed3a6c5ab2ed98ea6f0f4fbe01a
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_13_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_13_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 962, "num_examples": 32}], "download_size": 2093, "dataset_size": 962}}
|
2023-04-20T14:51:55+00:00
|
5b95424beb7d2d0dd2119ad2485f906ef4f7bc1e
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_9_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_9_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1046, "num_examples": 32}], "download_size": 2044, "dataset_size": 1046}}
|
2023-04-20T14:52:00+00:00
|
4346803f463391b050ae281389bd6395731ff089
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_10_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_10_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 950, "num_examples": 32}], "download_size": 2030, "dataset_size": 950}}
|
2023-04-20T14:51:47+00:00
|
088796e97175f86cbbad0efbca886ba67ac2f04b
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_4_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_4_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 925, "num_examples": 32}], "download_size": 2034, "dataset_size": 925}}
|
2023-04-20T14:51:48+00:00
|
4718572d230b57b418b1a65a34d37ec7a67b5b92
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_2_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_2_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 959, "num_examples": 32}], "download_size": 2006, "dataset_size": 959}}
|
2023-04-20T14:52:03+00:00
|
5f1f4cefff79904703078eae8994df9146160853
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_12_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_12_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 948, "num_examples": 32}], "download_size": 1915, "dataset_size": 948}}
|
2023-04-20T14:51:54+00:00
|
6c8549f763171298454e1d4b1dfbc76b21a63c2a
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_6_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_6_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 880, "num_examples": 32}], "download_size": 1978, "dataset_size": 880}}
|
2023-04-20T14:51:58+00:00
|
fdf2dc6c5394279c20d608be41090aadf772c3f0
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_14_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_14_1000
|
[
"region:us"
] |
2023-04-20T02:42:47+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 926, "num_examples": 32}], "download_size": 2016, "dataset_size": 926}}
|
2023-04-20T14:52:07+00:00
|
42cee92b68e62619ffd836c3016fbf6606ccdace
|
# Dataset Card for "VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_7_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
LambdaTests/VQAv2Validation_ViT_H_14_A_T_C_Q_benchmarks_partition_global_7_1000
|
[
"region:us"
] |
2023-04-20T02:42:48+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3406, "num_examples": 125}], "download_size": 0, "dataset_size": 3406}}
|
2023-04-20T14:46:32+00:00
|
4746a0045eadb55f728f365a14ad8c48f9f2259e
|
# character_similarity
This is a dataset used for training models to determine whether two anime images (containing only one person) depict the same character. The dataset includes the following versions:
| Version | Filename | Characters | Images | Information |
|:---------:|:-----------------------:|:----------:|:------:|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| v0 | images_v0.tar.xz | 2059 | 162116 | Crawled from [zerochan.net](https://www.zerochan.net/), includes images of Arknights, Fate/Grand Order, Genshin Impact, Girls' Frontline, and Azur Lane, as well as over 1500 other game or anime characters. The images are all small preview thumbnails. |
| v0_tiny | images_tiny_v0.tar.xz | 514 | 10036 | The dataset `v0` has been simplified by randomly selecting 1/4 of the anime characters and 1/4 of the images for each character. It is recommended to use this dataset for model training and validation. |
| v0_xtiny | images_xtiny_v0.tar.xz | 100 | 1814 | `v0_xtiny` dataset is a further simplified version of `v0_tiny`, with only 100 characters retained. This dataset is only **suitable for model validation and experimentation**, and is not recommended for formal training. |
| v1 | images_v1.tar.xz | 4001 | 292800 | The `v1` dataset is similar to `v0`, crawled from zerochan, but it contains a richer selection of characters and more diverse images of the same character. Each character includes no less than 3 and no more than 200 images. |
| v1_pruned | images_pruned_v1.tar.xz | 3982 | 241483 | Pruned from `v1` dataset, deleted monochrome and non-solo pictures, and also removed pictures where the character accounted for less than 40% of the entire vision area. |
| v2 | images_v2.tar.gz | 37886 | 836217 | Images containing only the faces of all characters from [zerochan.net](https://zerochan.net) have been scraped, and the image size is larger than that of the v1 and v0 datasets. However, please note that the v2 dataset may include multi-level nested image paths, such as `a/b/c/xx.jpg` and `a/b/yy.jpg`. In such cases, `xx.jpg` and `yy.jpg` should not be considered the same character. **Two characters from different images are considered the same character only if they are located in exactly the same path.** |
|
deepghs/character_similarity
|
[
"task_categories:zero-shot-classification",
"size_categories:100K<n<1M",
"license:mit",
"art",
"region:us"
] |
2023-04-20T03:01:11+00:00
|
{"license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["zero-shot-classification"], "tags": ["art"]}
|
2023-11-17T15:12:16+00:00
|
325340789d52e5147f490dd498ce375e03811117
|
# Dataset Card for "sanskrit-stemming-1024"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
chronbmm/sanskrit-stemming-1024
|
[
"region:us"
] |
2023-04-20T03:03:43+00:00
|
{"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "unsandhied", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 72243616, "num_examples": 46289}, {"name": "validation", "num_bytes": 4316074, "num_examples": 2732}, {"name": "test", "num_bytes": 3775271, "num_examples": 2447}, {"name": "test_500", "num_bytes": 761550, "num_examples": 500}, {"name": "validation_500", "num_bytes": 783989, "num_examples": 500}], "download_size": 46929302, "dataset_size": 81880500}}
|
2023-04-20T03:04:02+00:00
|
56c0576c3746fb3042b2391758cbda8914ec70ae
|
# Dataset Card for "mmlu-abstract_algebra-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-abstract_algebra-neg
|
[
"region:us"
] |
2023-04-20T03:31:56+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 13818, "num_examples": 100}], "download_size": 7619, "dataset_size": 13818}}
|
2023-04-20T04:10:23+00:00
|
c61327242c20f423d89e221e74fd5ab873cf516b
|
# Dataset Card for "mmlu-anatomy-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-anatomy-neg
|
[
"region:us"
] |
2023-04-20T03:33:23+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 32442, "num_examples": 135}], "download_size": 19395, "dataset_size": 32442}}
|
2023-04-20T04:11:47+00:00
|
1638fb6f80628d963f3d990a1bffbcc520fc97c4
|
# Dataset Card for "mmlu-astronomy-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-astronomy-neg
|
[
"region:us"
] |
2023-04-20T03:35:08+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 46473, "num_examples": 152}], "download_size": 28019, "dataset_size": 46473}}
|
2023-04-20T04:13:25+00:00
|
db7492d08f7b1956a7513c8f9d57b7c14a27f433
|
# Dataset Card for "mmlu-business_ethics-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-business_ethics-neg
|
[
"region:us"
] |
2023-04-20T03:36:48+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 32952, "num_examples": 100}], "download_size": 20015, "dataset_size": 32952}}
|
2023-04-20T04:15:04+00:00
|
be7d25e252521c5f8e7726b19154094315423e64
|
# Dataset Card for "mmlu-clinical_knowledge-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-clinical_knowledge-neg
|
[
"region:us"
] |
2023-04-20T03:40:23+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 61861, "num_examples": 265}], "download_size": 40225, "dataset_size": 61861}}
|
2023-04-20T04:17:15+00:00
|
d33182966272cae372909fdcd6fab4f342e36a0c
|
# Dataset Card for "mmlu-college_biology-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_biology-neg
|
[
"region:us"
] |
2023-04-20T03:42:42+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 45877, "num_examples": 144}], "download_size": 30626, "dataset_size": 45877}}
|
2023-04-20T04:19:20+00:00
|
c9983804ae167f3193584e8361ae63fc109b741b
|
# Dataset Card for "mmlu-college_chemistry-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_chemistry-neg
|
[
"region:us"
] |
2023-04-20T03:44:27+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 22327, "num_examples": 100}], "download_size": 15765, "dataset_size": 22327}}
|
2023-04-20T04:20:57+00:00
|
a4aad6ba0ff651bdcca012d6f9293e3050d2a15f
|
# Dataset Card for "pokemon50"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
WUYONGF/pokemon50
|
[
"region:us"
] |
2023-04-20T03:45:58+00:00
|
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3695042.0, "num_examples": 50}], "download_size": 3379266, "dataset_size": 3695042.0}}
|
2023-04-20T03:46:04+00:00
|
f5e5b6bd2c4f72ffa73a2daf995d49ad9116178f
|
# Dataset Card for "mmlu-college_computer_science-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_computer_science-neg
|
[
"region:us"
] |
2023-04-20T03:46:29+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 28381, "num_examples": 100}], "download_size": 19509, "dataset_size": 28381}}
|
2023-04-20T04:22:54+00:00
|
455506c0a35348fe300bef4990f3f85932f68cf8
|
# Dataset Card for "pokemon20"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
WUYONGF/pokemon20
|
[
"region:us"
] |
2023-04-20T03:48:03+00:00
|
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1847242.0, "num_examples": 20}], "download_size": 1686935, "dataset_size": 1847242.0}}
|
2023-04-20T03:48:08+00:00
|
5f3d2fbd62b82064f1f0cb1949dad429f2c0eddd
|
# Dataset Card for "mmlu-college_mathematics-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_mathematics-neg
|
[
"region:us"
] |
2023-04-20T03:48:29+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 20401, "num_examples": 100}], "download_size": 13516, "dataset_size": 20401}}
|
2023-04-20T04:24:54+00:00
|
c068308da973e9b6307d6aaa93e6800693c947b2
|
# Dataset Card for "pokemon10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
WUYONGF/pokemon10
|
[
"region:us"
] |
2023-04-20T03:49:36+00:00
|
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 844527.0, "num_examples": 10}], "download_size": 775236, "dataset_size": 844527.0}}
|
2023-04-20T03:49:41+00:00
|
77f2909ef293a8afa75a0811cceb63704bdd8847
|
# Dataset Card for "hdb0420"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
cestwc/hdb0420
|
[
"region:us"
] |
2023-04-20T03:50:28+00:00
|
{"dataset_info": {"features": [{"name": "labels", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "0420", "num_bytes": 334028, "num_examples": 3110}, {"name": "0110", "num_bytes": 16067, "num_examples": 110}, {"name": "0327", "num_bytes": 317961, "num_examples": 3000}], "download_size": 318187, "dataset_size": 668056}}
|
2023-04-20T03:50:47+00:00
|
b1125c98b4641bd011e4deaa8be2fc0c9e3ee685
|
# Dataset Card for "mmlu-college_medicine-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_medicine-neg
|
[
"region:us"
] |
2023-04-20T03:51:32+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 51318, "num_examples": 173}], "download_size": 33920, "dataset_size": 51318}}
|
2023-04-20T04:27:33+00:00
|
579403285a54b39e57e1c8b2fb19fc9191744ba7
|
# Dataset Card for "pokemon2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
WUYONGF/pokemon2
|
[
"region:us"
] |
2023-04-20T03:51:42+00:00
|
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 114783.0, "num_examples": 2}], "download_size": 105986, "dataset_size": 114783.0}}
|
2023-04-20T03:51:47+00:00
|
e9d27b6c92ff793d1d060acd85b956cc20350b85
|
# Dataset Card for ChatMed
## Dataset Description
- **Homepage:** https://huggingface.co/datasets/michaelwzhu/ChatMed-Datasets
- **Repository:** https://github.com/michael-wzhu/ChatMed
- **Paper:**
- **Leaderboard:**
- **Point of Contact:** Wei Zhu
### Dataset Summary
ChatMed-Dataset is a dataset of 110,113 medical query-response pairs (in Chinese) generated by OpenAI's `GPT-3.5` engine. The queries are crawled from several online medical consultation sites, reflecting the medical needs in the real world. The responses are generated by the OpenAI engine. This dataset is designated to to inject medical knowledge into Chinese large language models.
The dataset size growing rapidly. Stay tuned for updates!
在大模型时代，模型都是趋同的，比如开源社区由于LlaMa的"开源"，出现了各种stanford-alpaca等一系列的开源模型。但是中文垂直领域上的AGI数据集相对匮乏。
本数据集, ChatMed-Dataset, 中的query(或者是prompt)来自于互联网上的医疗问诊问题(110,113)，反映了真实世界的不同用户/患者的医疗问诊需求。目前response都是由OpenAI `GPT-3.5`引擎回答的。我们后续会对互联网上的医生回答与患者回答进行筛选甄别，择优选择，构建质量更优的数据集。
### Supported Tasks and Leaderboards
The ChatMed-Dataset designed for fine-tuning pretrained language models to perform better in automatic medical consultations.
### Languages
The data in ChatMed-Dataset are in Chinese (zh).
## Dataset Structure
### Data Instances
The dataset is in json-line format and is very convenient to use! An example in the ChatMed-Dataset looks as follows:
```json
{
"query": "你好，视神经萎缩，黄斑变性。怎样缓解，及日常注意事项。谢谢。",
"response": "视神经萎缩和黄斑变性是两种不同的疾病，需要分别进行治疗。\n\n视神经萎缩是指视神经逐渐受损，导致视力逐渐减退，常见的治疗方法包括：\n\n1.药物治疗：如促进视神经细胞再生的药物，改善视网膜供血的药物等。\n\n2.手术治疗：如视神经萎缩的手术治疗可以通过神经移植、修复和再生等手术方式来缓解症状。\n\n3.康复训练：通过视力训练等康复训练可以帮助患者恢复视力。\n\n黄斑变性则是指黄斑区域受损，导致中央视力减退，常见的治疗方法包括：\n\n1.药物治疗：如抗氧化剂、维生素等可以缓解症状。\n\n2.手术治疗：如黄斑脱离手术等可以恢复视力。\n\n3.日常注意事项：保持良好的生活习惯，如戒烟、控制血压、血糖等，避免暴晒和过度用眼，保持充足的睡眠和均衡的饮食等。\n\n需要根据具体情况选择合适的治疗方案，建议您咨询专业医生进行诊断和治疗。"
}
```
### Data Fields
The data fields are as follows:
* `query`: real-life medical query from the web.
* `response`: response generated by the OpenAI `GPT-3.5` engine.
### Data Splits
| | train |
|---------------|------:|
| ChatMed-Dataset | 110,113 |
## 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
> We believe that releasing the above assets will enable the academic community to perform controlled scientific studies on how large language models responses to real-life medical query.
> More social impacts will be discussed soon!
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
The `ChatMed-Dataset` data is generated by a language model (`GPT-3.5`) and inevitably contains some errors or biases. We encourage users to use this data with caution and propose new methods to filter or improve the imperfections.
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
The dataset is available under the [Creative Commons NonCommercial (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/legalcode).
### Citation Information
```
@misc{alpaca,
author = {Wei Zhu },
title = {ChatMed-Dataset: An GPT generated medical query-response datasets for medcial large language models},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/michael-wzhu/ChatMed}},
}
```
### Contributions
[More Information Needed]
|
michaelwzhu/ChatMed_Consult_Dataset
|
[
"task_categories:text-generation",
"language:zh",
"license:cc-by-4.0",
"medical consultation",
"finetuning",
"region:us"
] |
2023-04-20T03:53:33+00:00
|
{"language": ["zh"], "license": "cc-by-4.0", "task_categories": ["text-generation"], "pretty_name": "ChatMed-Dataset", "tags": ["medical consultation", "finetuning"]}
|
2023-05-05T12:41:10+00:00
|
d57c3f0635ae2feb9369cae2a489d6a695e24fdb
|
# Dataset Card for "mmlu-college_physics-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_physics-neg
|
[
"region:us"
] |
2023-04-20T03:53:52+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 27795, "num_examples": 102}], "download_size": 16560, "dataset_size": 27795}}
|
2023-04-20T04:29:48+00:00
|
6ec51170d602825ad88f4ee8d4b8497d285a341e
|
# Dataset Card for "generadai-sample"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
seongcho/generadai-sample
|
[
"region:us"
] |
2023-04-20T03:54:34+00:00
|
{"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "ad", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2415, "num_examples": 5}], "download_size": 6256, "dataset_size": 2415}}
|
2023-04-20T03:54:43+00:00
|
55bc11aa8f3860bb11185f0ac6d060b8d4601f6d
|
# Dataset Card for "SheepsNetScribbleV2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
GreeneryScenery/SheepsNetScribbleV2
|
[
"region:us"
] |
2023-04-20T03:54:57+00:00
|
{"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "scribble_image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 4128768847.25, "num_examples": 22719}], "download_size": 3565064638, "dataset_size": 4128768847.25}}
|
2023-04-20T03:58:09+00:00
|
f208367f86d19b655e1176c9e1e9195701a3b546
|
# Dataset Card for "mmlu-computer_security-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-computer_security-neg
|
[
"region:us"
] |
2023-04-20T03:55:13+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 24710, "num_examples": 100}], "download_size": 17476, "dataset_size": 24710}}
|
2023-04-20T04:31:05+00:00
|
81fc1af9252baeb307d6d0382cc0f41a9f68503b
|
# Dataset Card for "sanskrit-stemming-256"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
chronbmm/sanskrit-stemming-256
|
[
"region:us"
] |
2023-04-20T03:56:00+00:00
|
{"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "unsandhied", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 72876736, "num_examples": 172913}, {"name": "validation", "num_bytes": 4354294, "num_examples": 10376}, {"name": "test", "num_bytes": 3808521, "num_examples": 9097}, {"name": "test_500", "num_bytes": 206300, "num_examples": 500}, {"name": "validation_500", "num_bytes": 211407, "num_examples": 500}], "download_size": 47655064, "dataset_size": 81457258}}
|
2023-04-20T03:56:19+00:00
|
11ae296ebdebcc06562660e5b464f5d8e02b692f
|
# Dataset Card for "mmlu-conceptual_physics-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-conceptual_physics-neg
|
[
"region:us"
] |
2023-04-20T03:57:32+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 40588, "num_examples": 235}], "download_size": 24633, "dataset_size": 40588}}
|
2023-04-20T04:33:20+00:00
|
7c96b5f94a38209edb7bc184ec5551e4eacdb171
|
# Dataset Card for "mmlu-econometrics-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-econometrics-neg
|
[
"region:us"
] |
2023-04-20T03:59:07+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 32655, "num_examples": 114}], "download_size": 18213, "dataset_size": 32655}}
|
2023-04-20T04:34:46+00:00
|
b3a7444dffc1882c7144ea492636512a0d9bf49a
|
# Dataset Card for "mmlu-electrical_engineering-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-electrical_engineering-neg
|
[
"region:us"
] |
2023-04-20T04:00:33+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 25006, "num_examples": 145}], "download_size": 17179, "dataset_size": 25006}}
|
2023-04-20T04:36:10+00:00
|
cf62299db7fa770ae90981a1fb682d7fe667886b
|
Capsekai/Amusement_Parks
|
[
"license:creativeml-openrail-m",
"region:us"
] |
2023-04-20T04:12:39+00:00
|
{"license": "creativeml-openrail-m"}
|
2023-04-20T04:14:01+00:00
|
|
dc304bda9c1c221809bf1e15337765a3d91f0b2f
|
Everything in here should be under CreativeML Open Rail.
We hope that you enjoy the content in here.
We're not at risk for anything you do with it.
Go on, use it!
|
Capsekai/Misc_Datasets
|
[
"task_categories:text-to-image",
"size_categories:1K<n<10K",
"language:en",
"license:creativeml-openrail-m",
"stable diffusion",
"untagged dataset",
"photography",
"anime",
"art",
"region:us"
] |
2023-04-20T04:19:08+00:00
|
{"language": ["en"], "license": "creativeml-openrail-m", "size_categories": ["1K<n<10K"], "task_categories": ["text-to-image"], "pretty_name": "Dataset Dump Untagged", "tags": ["stable diffusion", "untagged dataset", "photography", "anime", "art"]}
|
2023-04-20T04:43:44+00:00
|
ac78331c7dfcead67c5fd88bc9188d0af965f2d7
|
# AutoTrain Dataset for project: text2hashtag
## Dataset Description
This dataset has been automatically processed by AutoTrain for project text2hashtag.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"text": "An intense battle between moderates and progressives has already spilled into public view.",
"target": "['Presidential Election of 2020', 'Police Reform', 'United States Politics and Government', 'Black People', 'Blacks', 'Elections, House of Representatives', 'George Floyd Protests (2020)', 'Democratic Party', 'Democratic Socialists of America', 'Justice Democrats', 'Sunrise Movement']"
},
{
"text": "The blaze is setting off mines and other ordnance littering the war zone in eastern Ukraine, hampering already dangerous firefighting and evacuation efforts.",
"target": "['Wildfires', 'Explosions (Accidental)', 'Ukraine']"
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"text": "Value(dtype='string', id=None)",
"target": "Value(dtype='string', id=None)"
}
```
### Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
| ------------ | ------------------- |
| train | 2399 |
| valid | 600 |
|
Ranjan22/autotrain-data-text2hashtag
|
[
"task_categories:summarization",
"region:us"
] |
2023-04-20T04:20:57+00:00
|
{"task_categories": ["summarization"]}
|
2023-04-20T04:32:16+00:00
|
6bad7259e26dc19c3a8b5a73146b1b1e29c28b0a
|
# Dataset Card for "mmlu-elementary_mathematics-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-elementary_mathematics-neg
|
[
"region:us"
] |
2023-04-20T04:40:59+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 63081, "num_examples": 378}], "download_size": 38060, "dataset_size": 63081}}
|
2023-04-20T04:41:03+00:00
|
c109487120fd47ec6828cf790d0c505bf7817c54
|
# Dataset Card for "mmlu-formal_logic-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-formal_logic-neg
|
[
"region:us"
] |
2023-04-20T04:42:17+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 30566, "num_examples": 126}], "download_size": 16048, "dataset_size": 30566}}
|
2023-04-20T04:42:20+00:00
|
008125f5ee098f742235fda517d6b42513d31a26
|
# Dataset Card for "mmlu-global_facts-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-global_facts-neg
|
[
"region:us"
] |
2023-04-20T04:43:31+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 17996, "num_examples": 100}], "download_size": 11074, "dataset_size": 17996}}
|
2023-04-20T04:43:35+00:00
|
d936aec2bc15e9e3654237564b4e29a3f0783b15
|
# Dataset Card for "mmlu-high_school_biology-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_biology-neg
|
[
"region:us"
] |
2023-04-20T04:47:37+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 99767, "num_examples": 310}], "download_size": 57653, "dataset_size": 99767}}
|
2023-04-20T04:47:41+00:00
|
c76132dd521aaabdff253ac13f833130a868c282
|
# Dataset Card for "mmlu-high_school_chemistry-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_chemistry-neg
|
[
"region:us"
] |
2023-04-20T04:50:29+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 53898, "num_examples": 203}], "download_size": 30994, "dataset_size": 53898}}
|
2023-04-20T04:50:33+00:00
|
8dac2abbc451685eb8968b885ba8a2b9dadc768a
|
# Dataset Card for "mmlu-high_school_computer_science-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_computer_science-neg
|
[
"region:us"
] |
2023-04-20T04:52:02+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 32270, "num_examples": 100}], "download_size": 20733, "dataset_size": 32270}}
|
2023-04-20T04:52:06+00:00
|
a502341ef227deed829928f77f9ee77eef3c4d51
|
# Dataset Card for "mmlu-high_school_european_history-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_european_history-neg
|
[
"region:us"
] |
2023-04-20T04:56:12+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 72352, "num_examples": 165}], "download_size": 44036, "dataset_size": 72352}}
|
2023-04-20T04:56:16+00:00
|
37c28994888a63499db18cbc3a438427b3ecd722
|
# Dataset Card for "mmlu-high_school_geography-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_geography-neg
|
[
"region:us"
] |
2023-04-20T04:58:01+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 40961, "num_examples": 198}], "download_size": 27726, "dataset_size": 40961}}
|
2023-04-20T04:58:06+00:00
|
a1895580d1a7bc14adf1dc69d2fa1f70b42cca88
|
# Dataset Card for "mmlu-high_school_government_and_politics-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_government_and_politics-neg
|
[
"region:us"
] |
2023-04-20T04:59:51+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 63813, "num_examples": 193}], "download_size": 39170, "dataset_size": 63813}}
|
2023-04-20T04:59:55+00:00
|
181717a13e94e62334be41f57e30885f2051fa09
|
# Dataset Card for "mmlu-high_school_macroeconomics-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_macroeconomics-neg
|
[
"region:us"
] |
2023-04-20T05:03:29+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 113421, "num_examples": 390}], "download_size": 52886, "dataset_size": 113421}}
|
2023-04-20T05:03:33+00:00
|
e409fb2fb405f747221d6d063eeb991c1e6cb03b
|
# Dataset Card for "mmlu-high_school_mathematics-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_mathematics-neg
|
[
"region:us"
] |
2023-04-20T05:09:06+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 50456, "num_examples": 270}], "download_size": 30107, "dataset_size": 50456}}
|
2023-04-20T05:09:10+00:00
|
92130094ea90562ac416fd56ffc3943991d679bc
|
# Dataset Card for "mmlu-high_school_microeconomics-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_microeconomics-neg
|
[
"region:us"
] |
2023-04-20T05:11:23+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 71310, "num_examples": 238}], "download_size": 36920, "dataset_size": 71310}}
|
2023-04-20T05:11:27+00:00
|
97b350f5fa20a7ab16e982bbd8fa8f38cc344b0b
|
BlackKakapo/qaworld-ro
|
[
"task_categories:question-answering",
"task_categories:text2text-generation",
"size_categories:n<10k",
"language:ro",
"license:apache-2.0",
"region:us"
] |
2023-04-20T05:12:49+00:00
|
{"language": ["ro"], "license": "apache-2.0", "size_categories": ["n<10k"], "task_categories": ["question-answering", "text2text-generation"]}
|
2023-04-20T06:34:53+00:00
|
|
245f46a1ce8d35386f8b8148529cbd475f66c814
|
# Dataset Card for "mmlu-high_school_physics-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_physics-neg
|
[
"region:us"
] |
2023-04-20T05:14:17+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 52597, "num_examples": 151}], "download_size": 29012, "dataset_size": 52597}}
|
2023-04-20T05:14:21+00:00
|
0fa3c411b4ed56f72fdeb99f052c53a463acf67e
|
# Dataset Card for "mmlu-high_school_psychology-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_psychology-neg
|
[
"region:us"
] |
2023-04-20T05:21:07+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 147908, "num_examples": 545}], "download_size": 86072, "dataset_size": 147908}}
|
2023-04-20T05:21:11+00:00
|
7fea4d3a67dfd6778b0a63ea4d19d2859f7d498b
|
# Dataset Card for "mmlu-high_school_statistics-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_statistics-neg
|
[
"region:us"
] |
2023-04-20T05:25:28+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 92615, "num_examples": 216}], "download_size": 48873, "dataset_size": 92615}}
|
2023-04-20T05:25:32+00:00
|
d2b7416f6c1b1dda4b53aa62a57ee1c82b3cdc24
|
# Dataset Card for "mmlu-high_school_us_history-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_us_history-neg
|
[
"region:us"
] |
2023-04-20T05:29:35+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 81951, "num_examples": 204}], "download_size": 47725, "dataset_size": 81951}}
|
2023-04-20T05:29:42+00:00
|
8acbd268474feb31bea633209c7ed3590e26fd99
|
[Original dataset] - This dataset is just the translation of the [qasc] dataset.
[Original dataset]: <https://huggingface.co/datasets/qasc>
[qasc]: <https://huggingface.co/datasets/qasc>
|
BlackKakapo/qasc-ro
|
[
"task_categories:question-answering",
"task_categories:text2text-generation",
"task_categories:multiple-choice",
"size_categories:n<10k",
"language:ro",
"license:cc-by-4.0",
"region:us"
] |
2023-04-20T05:33:55+00:00
|
{"language": ["ro"], "license": "cc-by-4.0", "size_categories": ["n<10k"], "task_categories": ["question-answering", "text2text-generation", "multiple-choice"]}
|
2023-04-20T06:36:54+00:00
|
4064bb594511dad4ac8bff1aa2e3e5d01fe5efae
|
# Dataset Card for "mmlu-high_school_world_history-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_world_history-neg
|
[
"region:us"
] |
2023-04-20T05:34:09+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 90952, "num_examples": 237}], "download_size": 56701, "dataset_size": 90952}}
|
2023-04-20T05:34:14+00:00
|
879b2ecb259d2e9c87ec35ca73d19e3b26e0d481
|
# Dataset Card for "mmlu-human_aging-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-human_aging-neg
|
[
"region:us"
] |
2023-04-20T05:36:04+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 45666, "num_examples": 223}], "download_size": 30517, "dataset_size": 45666}}
|
2023-04-20T05:36:08+00:00
|
595e65f682c2fb46cd03a2d3541dec20e9b8bcdd
|
# Dataset Card for "mmlu-human_sexuality-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-human_sexuality-neg
|
[
"region:us"
] |
2023-04-20T05:37:32+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 30020, "num_examples": 131}], "download_size": 21721, "dataset_size": 30020}}
|
2023-04-20T05:37:36+00:00
|
da6d0afc287214110568ed1b1b5eaabd57ecf11e
|
# Dataset Card for "mmlu-international_law-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-international_law-neg
|
[
"region:us"
] |
2023-04-20T05:38:50+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 53395, "num_examples": 121}], "download_size": 29224, "dataset_size": 53395}}
|
2023-04-20T05:38:54+00:00
|
5f641cd33fe38aadfaa6801bd0f968d8f693d0dc
|
这是一个中文文本相似度的数据集，相似度划分为 0、1。
该 [notebook](https://www.kaggle.com/code/tiansztianszs/chinese-sentence-similarity) 记录了我使用本数据集的全过程。同时你也可以在 [github](https://github.com/tiansztiansz/Chinese-Text-Similarity) 上下载该数据集
|
tiansz/ChineseSTS
|
[
"task_categories:sentence-similarity",
"size_categories:1M<n<10M",
"language:zh",
"license:apache-2.0",
"STS",
"region:us"
] |
2023-04-20T05:40:04+00:00
|
{"language": ["zh"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["sentence-similarity"], "tags": ["STS"]}
|
2023-04-20T06:19:37+00:00
|
355b74f259ca1e27164b01d60e73abb36863730d
|
# Dataset Card for "mmlu-jurisprudence-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-jurisprudence-neg
|
[
"region:us"
] |
2023-04-20T05:40:09+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 32409, "num_examples": 108}], "download_size": 22429, "dataset_size": 32409}}
|
2023-04-20T05:40:13+00:00
|
edaba102d99c490247ed9dac8ebea6be0ed06db2
|
# Dataset Card for "mmlu-logical_fallacies-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-logical_fallacies-neg
|
[
"region:us"
] |
2023-04-20T05:42:05+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 48981, "num_examples": 163}], "download_size": 22799, "dataset_size": 48981}}
|
2023-04-20T05:42:09+00:00
|
3250defbd607bb16919f763336b269ef362d4375
|
# Dataset Card for "mmlu-machine_learning-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-machine_learning-neg
|
[
"region:us"
] |
2023-04-20T05:43:41+00:00
|
{"dataset_info": {"features": [{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 26614, "num_examples": 112}], "download_size": 15825, "dataset_size": 26614}}
|
2023-04-20T05:43:45+00:00
|
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