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linhqyy/data_aug_full_0919
2023-09-20T18:40:45.000Z
[ "region:us" ]
linhqyy
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: sentence dtype: string - name: intent dtype: string - name: entities list: - name: type dtype: string - name: filler dtype: string - name: labels dtype: string splits: - name: train num_bytes: 1675925 num_examples: 7907 - name: test num_bytes: 143380 num_examples: 688 download_size: 435475 dataset_size: 1819305 --- # Dataset Card for "data_aug_full_0919" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
eklobo/Cocina
2023-09-20T18:56:55.000Z
[ "region:us" ]
eklobo
null
null
null
0
0
Entry not found
CCRs/code
2023-09-20T19:37:46.000Z
[ "region:us" ]
CCRs
null
null
null
0
0
Entry not found
Binaryy/queries
2023-09-28T10:29:25.000Z
[ "region:us" ]
Binaryy
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: 'Unnamed: 0.1' dtype: int64 - name: 'Unnamed: 0' dtype: int64 - name: queries dtype: string splits: - name: train num_bytes: 62531 num_examples: 543 download_size: 24151 dataset_size: 62531 --- # Dataset Card for "queries" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
harvard-lil/llms-book-bans-benchmark
2023-09-25T22:08:31.000Z
[ "language:en", "license:cc-by-4.0", "region:us" ]
harvard-lil
null
null
null
0
0
--- license: cc-by-4.0 language: - en viewer: false --- # llms-book-bans-benchmark <a href="https://lil.law.harvard.edu/blog/2023/09/25/ai-book-bans-freedom-to-read-case-study/"><img src="https://lil-blog-media.s3.amazonaws.com/ai-book-bans-lead-graphic.png"></a> Data collected in the context of our experiment: [_"AI Book Bans: Are LLMs Champions of the Freedom to Read?"_](https://lil.law.harvard.edu/blog/2023/09/25/ai-book-bans-freedom-to-read-case-study/) Pipeline and details about collection process available on [GitHub](https://github.com/harvard-lil/llms-book-bans-benchmark/). --- # Directory structure | File | Description | | --- | --- | | `data/gpt-3.5-turbo.csv` | Data collected by running the prompt against GPT-3.5-Turbo | | `data/gpt-4.csv` | Data collected by running the prompt against GPT-4 | | `data/llama2-13b.csv` | Data collected by running the prompt against Llama2-13b-chat | | `data/llama2-70b.csv` | Data collected by running the prompt against Llama2-70b-chat | | `data/palm2.csv` | Data collected by running the prompt against text-bison-001 (Palm2) | | `analysis.csv` | Results of our analysis. Performed manually by the authors via a survey. |
noisae/portugues-audio
2023-09-20T20:09:56.000Z
[ "region:us" ]
noisae
null
null
null
0
0
Entry not found
samsahoo/your-dataset-name
2023-09-20T20:10:04.000Z
[ "region:us" ]
samsahoo
null
null
null
0
0
Entry not found
amitness/logits-mt-it-128
2023-09-27T08:44:33.000Z
[ "region:us" ]
amitness
null
null
null
0
0
--- 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: 32877042660 num_examples: 7259175 - name: test num_bytes: 5801464960 num_examples: 1281032 download_size: 1475328483 dataset_size: 38678507620 --- # Dataset Card for "logits-mt-it-128" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
m8than/long-context-QA-augmented
2023-09-28T22:56:18.000Z
[ "task_categories:text-generation", "task_categories:fill-mask", "language:en", "license:cc-by-sa-3.0", "language-modeling", "masked-language-modeling", "region:us" ]
m8than
null
null
null
1
0
--- license: cc-by-sa-3.0 language: - en task_categories: - text-generation - fill-mask tags: - language-modeling - masked-language-modeling pretty_name: LongContextQA configs: - config_name: default default: true data_files: - split: train path: - "project-gutenberg.jsonl" --- Long context QA with the following augmentations - Smart augmentation (changes the answer to the question and in the context) - Changes the data around the answer within the chunk - Random noise - Random chunks of information - Lots of varied lengths - A few different prompt formats (aimed towards RWKV)
reyrg/thermal-camera_v3
2023-09-20T21:02:13.000Z
[ "license:unknown", "region:us" ]
reyrg
null
null
null
0
0
--- license: unknown dataset_info: features: - name: image dtype: image - name: label dtype: image splits: - name: train num_bytes: 766087220.0 num_examples: 546 download_size: 49415770 dataset_size: 766087220.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
OneSimmer/Galisteu
2023-09-20T22:07:33.000Z
[ "license:openrail", "region:us" ]
OneSimmer
null
null
null
0
0
--- license: openrail ---
collabora/librilight-webdataset
2023-09-22T09:32:58.000Z
[ "license:cc0-1.0", "region:us" ]
collabora
null
null
null
0
0
--- license: cc0-1.0 ---
AceCreation/hutao-rvc
2023-09-20T22:11:20.000Z
[ "region:us" ]
AceCreation
null
null
null
0
0
marasama/nva-Stardust
2023-09-20T22:09:06.000Z
[ "region:us" ]
marasama
null
null
null
0
0
Entry not found
osore/regime7_sgrogolox_gaiolox
2023-09-20T22:55:53.000Z
[ "region:us" ]
osore
null
null
null
0
0
Entry not found
brayanfs/juju
2023-09-20T23:17:42.000Z
[ "region:us" ]
brayanfs
null
null
null
0
0
Entry not found
orderofmagnitude/g123
2023-09-21T16:57:11.000Z
[ "region:us" ]
orderofmagnitude
null
null
null
0
0
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/datasets-cards {} --- # 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]
Arthur91284/azul
2023-09-20T23:41:32.000Z
[ "license:openrail", "region:us" ]
Arthur91284
null
null
null
0
0
--- license: openrail ---
pjoao4856/zps
2023-09-20T23:55:52.000Z
[ "region:us" ]
pjoao4856
null
null
null
0
0
Entry not found
yzhuang/autotree_automl_Higgs_gosdt_l512_d3_sd1
2023-09-21T00:08:39.000Z
[ "region:us" ]
yzhuang
null
null
null
0
0
--- dataset_info: features: - name: id dtype: int64 - name: input_x sequence: sequence: float64 - name: input_y sequence: sequence: float32 - name: rtg sequence: float64 - name: status sequence: sequence: float32 - name: split_threshold sequence: sequence: float64 - name: split_dimension sequence: int64 splits: - name: train num_bytes: 12501600000 num_examples: 100000 - name: validation num_bytes: 1250160000 num_examples: 10000 download_size: 9801806108 dataset_size: 13751760000 --- # Dataset Card for "autotree_automl_Higgs_gosdt_l512_d3_sd1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
jpqueiroz335/zips
2023-09-21T00:19:54.000Z
[ "region:us" ]
jpqueiroz335
null
null
null
0
0
Entry not found
decomedeiros/ze_vaqueiro
2023-09-21T01:08:17.000Z
[ "license:openrail", "region:us" ]
decomedeiros
null
null
null
0
0
--- license: openrail ---
deansmile/NYC-Indoor-VPR
2023-09-21T01:19:51.000Z
[ "region:us" ]
deansmile
null
null
null
0
0
Entry not found
daje/ko_wiki
2023-09-21T05:38:01.000Z
[ "region:us" ]
daje
null
null
null
1
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 986780351 num_examples: 311237 download_size: 550489937 dataset_size: 986780351 --- # ํ•œ๊ตญ์–ด ์œ„ํ‚ค ๋ฐ์ดํ„ฐ์…‹(Ko_wiki) * ๊ฐœ์š” - ์ด ๋ฐ์ดํ„ฐ์…‹์€ ํ•œ๊ตญ์–ด ์œ„ํ‚ค ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๋งŒ๋“ค์–ด์กŒ์Šต๋‹ˆ๋‹ค. ์›๋ณธ ์œ„ํ‚ค ๋ฐ์ดํ„ฐ๋ฅผ ์ฒ˜๋ฆฌํ•˜๊ธฐ ์œ„ํ•ด wikiextractor.py๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ…์ŠคํŠธ ํ˜•์‹์œผ๋กœ ๋ณ€ํ™˜ํ•˜์˜€์Šต๋‹ˆ๋‹ค. - ์ด ๋ฐ์ดํ„ฐ์…‹์„ ์ œ์ž‘ํ•œ ์ฃผ์š” ์ทจ์ง€๋Š” ํ•œ๊ตญ์–ด ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ ์—ฐ๊ตฌ์™€ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ฐœ๋ฐœ์— ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๊ด‘๋ฒ”์œ„ํ•œ ํ…์ŠคํŠธ ๋ฐ์ดํ„ฐ๋ฅผ ์ œ๊ณตํ•˜๊ธฐ ์œ„ํ•จ์ž…๋‹ˆ๋‹ค. * ๋ฐ์ดํ„ฐ ๊ตฌ์กฐ - text: ์œ„ํ‚ค ๋ฌธ์„œ์˜ ๋ณธ๋ฌธ์„ ํฌํ•จํ•˜๋Š” ๋ฌธ์ž์—ด์ž…๋‹ˆ๋‹ค. * ์‚ฌ์šฉ ๋ฐฉ๋ฒ• 1. huggingface dataset๊ณผ map์„ ํ™œ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ• ```python3 from datasets import load_dataset ko_dataset = load_dataset("text", "daje/ko_wiki", split="train", streaming=True) ko_wiki_tokenized = ko_dataset.map(lambda x : tokenizer(x["text"], max_length=256, padding="max_length", truncation=True), remove_columns=["text"]) ``` 2. ํŒŒ์ด์ฌ ์Šคํฌ๋ฆฝํŠธ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ• ``` import os from tqdm import tqdm from transformers import AutoTokenizer import argparse parser = argparse.ArgumentParser() parser.add_argument('--input_path', type=str) parser.add_argument('--output_path', type=str) parser.add_argument('--model_name_or_path', type=str) parser.add_argument('--max_seq_length', type=int, default=256) parser.add_argument('--add_sep', default=True, action='store_true') args = parser.parse_args() def get_num_lines(fname): res = os.popen(f'wc -l {fname}').read() lines = res.strip().split()[0] return int(lines) def main(args): seq_length = args.max_seq_length - 3 # room for [BOS], [EOS], [UNK] input_fs = open(args.input_path, 'r') output_fs = open(args.output_path, 'a') total_line = get_num_lines(args.input_path) tokenizer = AutoTokenizer.from_pretrained(args.model_name_or_path) buffer = [] for doc in tqdm(input_fs, total=total_line): tokens = tokenizer.tokenize(doc) buffer += tokens if args.add_sep: buffer += [tokenizer.eos_token] # ์ž์‹ ์ด ์‚ฌ์šฉํ•˜๋Š” tokenizer์— ๋งž์ถ”์–ด์„œ eos, sep์„ ๋„ฃ์œผ์‹œ๋ฉด ๋ฉ๋‹ˆ๋‹ค. while len(buffer) > seq_length: text = ' '.join(buffer[:seq_length]) output_fs.write(text) output_fs.write('\n') buffer = buffer[seq_length:] input_fs.close() output_fs.close() if __name__ == '__main__': main(args) ```
dieineb/img_align_celeba
2023-09-21T01:46:32.000Z
[ "region:us" ]
dieineb
null
null
null
0
0
Entry not found
kye/all-lucidrain-code-python-tokenized-8192-2
2023-09-21T01:56:07.000Z
[ "region:us" ]
kye
null
null
null
0
0
--- dataset_info: features: - name: python_code sequence: string - name: repo_name sequence: string - name: file_path sequence: string splits: - name: train num_bytes: 875787 num_examples: 16 download_size: 2857 dataset_size: 875787 --- # Dataset Card for "all-lucidrain-code-python-tokenized-8192-2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
kye/all-lucidrain-code-python-tokenized-8192-3
2023-09-21T01:58:29.000Z
[ "region:us" ]
kye
null
null
null
0
0
--- dataset_info: features: - name: repo_name sequence: string - name: file_path sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 2299336 num_examples: 21 download_size: 349131 dataset_size: 2299336 --- # Dataset Card for "all-lucidrain-code-python-tokenized-8192-3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
nezhazheng/med_data
2023-09-21T01:59:22.000Z
[ "region:us" ]
nezhazheng
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: sentence1 dtype: string - name: sentence2 dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 84926.7 num_examples: 900 - name: validation num_bytes: 9436.3 num_examples: 100 download_size: 55416 dataset_size: 94363.0 --- # Dataset Card for "med_data" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
freatraum/images
2023-09-21T07:42:22.000Z
[ "region:us" ]
freatraum
null
null
null
0
0
Entry not found
CyberHarem/rikka_4ninwasorezoreusootsuku
2023-09-21T02:29:38.000Z
[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
CyberHarem
null
null
null
0
0
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Rikka This is the dataset of Rikka, containing 284 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 | 284 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 599 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 284 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 284 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 284 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 284 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 284 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 599 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 599 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 599 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |
kye/all-lucidrain-code-python-tokenized-8192-4
2023-09-21T02:24:16.000Z
[ "region:us" ]
kye
null
null
null
1
0
--- dataset_info: features: - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 170959464 num_examples: 4173 download_size: 39435682 dataset_size: 170959464 --- # Dataset Card for "all-lucidrain-code-python-tokenized-8192-4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
shreefhamed/Press
2023-09-21T02:34:45.000Z
[ "region:us" ]
shreefhamed
null
null
null
0
0
Entry not found
CyberHarem/chiyo_4ninwasorezoreusootsuku
2023-09-21T02:50:06.000Z
[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
CyberHarem
null
null
null
0
0
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Chiyo This is the dataset of Chiyo, containing 266 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 | 266 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 565 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 266 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 266 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 266 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 266 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 266 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 565 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 565 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 565 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |
CyberHarem/sekine_4ninwasorezoreusootsuku
2023-09-21T03:14:58.000Z
[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
CyberHarem
null
null
null
0
0
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Sekine This is the dataset of Sekine, containing 289 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 | 289 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 631 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 289 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 289 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 289 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 289 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 289 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 631 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 631 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 631 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |
CyberHarem/tsubasa_4ninwasorezoreusootsuku
2023-09-21T03:38:49.000Z
[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]
CyberHarem
null
null
null
0
0
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Tsubasa This is the dataset of Tsubasa, containing 295 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 | 295 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 652 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 295 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 295 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 295 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 295 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 295 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 652 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 652 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 652 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |
cessapellido/sample
2023-09-21T03:38:53.000Z
[ "license:unknown", "region:us" ]
cessapellido
null
null
null
0
0
--- license: unknown ---
JerryKim/TsinghuaEEGProcessed
2023-09-21T06:44:13.000Z
[ "region:us" ]
JerryKim
null
null
null
0
0
Entry not found
ProfessorCrust/your-dataset-name
2023-09-21T04:16:03.000Z
[ "region:us" ]
ProfessorCrust
null
null
null
0
0
Entry not found
Goldyhghoul/Thanos
2023-09-21T05:41:24.000Z
[ "region:us" ]
Goldyhghoul
null
null
null
0
0
Entry not found
ConnorLuckettDSTG/SARFishSample
2023-09-21T05:08:34.000Z
[ "license:other", "region:us" ]
ConnorLuckettDSTG
null
null
null
0
0
--- license: other ---
shubhamagarwal92/multi_x_science_test_full
2023-09-21T04:42:02.000Z
[ "region:us" ]
shubhamagarwal92
null
null
null
0
0
--- dataset_info: features: - name: aid dtype: string - name: mid dtype: string - name: abstract dtype: string - name: related_work dtype: string - name: ref_abstract struct: - name: abstract sequence: string - name: cite_N sequence: string - name: mid sequence: string - name: title dtype: string - name: text_except_rw dtype: string - name: total_words dtype: int64 splits: - name: test num_bytes: 172570713 num_examples: 5093 download_size: 37798321 dataset_size: 172570713 --- # Dataset Card for "multi_x_science_test_full" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
DylanJHJ/CQG
2023-09-21T05:14:16.000Z
[ "license:apache-2.0", "region:us" ]
DylanJHJ
null
null
null
0
0
--- license: apache-2.0 ---
potsawee/cnn_dailymail_thai
2023-09-22T10:52:47.000Z
[ "task_categories:summarization", "size_categories:100K<n<1M", "language:th", "license:cc-by-4.0", "region:us" ]
potsawee
null
null
null
0
0
--- dataset_info: features: - name: article dtype: string - name: highlights dtype: string - name: id dtype: string splits: - name: train num_bytes: 942933950 num_examples: 287113 - name: validation num_bytes: 45473576 num_examples: 13368 - name: test num_bytes: 38498988 num_examples: 11490 download_size: 401965818 dataset_size: 1026906514 license: cc-by-4.0 task_categories: - summarization language: - th size_categories: - 100K<n<1M --- # Dataset Card for "cnn_dailymail_thai ๐Ÿ‡น๐Ÿ‡ญ" - This dataset is based on [CNN/DailyMail](https://huggingface.co/datasets/cnn_dailymail) v3.0.0. - The documents and summaries were translated from English (as in the original XSum) to Thai using Meta's [NLLB-200-3.3B](https://huggingface.co/facebook/nllb-200-3.3B). - hyperparameters: max_length=(doc=1024, sum=512), num_beams=4, no_repeat_ngram_size=6, repetition_penalty=1.2 - GitHub repo: https://github.com/potsawee/thaisum_data - The dataset is intended for Thai Summarization, e.g., ThaiNews -> ThaiSummary. - This dataset can be cross-linked with the original (English) CNNDMM using the `id` attribute - Note that we observe the input length is noticeably shorter than the original English version (stats to be included) - The quality of translation appears quite poor. There will be an update version with a better translation system. - ### Data Fields - `id`: a string containing the heximal formated SHA1 hash of the url where the story was retrieved from. - `article`: a string containing the *translated* body of the news article - `highlights`: a string containing the *translated* highlight of the article. ## Data Structure ``` { "id": "42c027e4ff9730fbb3de84c1af0d2c506e41c3e4", "article": "news article in Thai", "highlights": "summary in Thai" } ``` ### Data Splits train/validation/test = 287113/13368/11490
AmirulOm/test_data
2023-09-21T05:40:11.000Z
[ "region:us" ]
AmirulOm
null
null
null
0
0
Entry not found
emmajoanne/colab-zuotu
2023-09-21T06:01:50.000Z
[ "region:us" ]
emmajoanne
null
null
null
0
0
Entry not found
anonymouse03052002/custom_data.txt
2023-09-21T05:58:08.000Z
[ "region:us" ]
anonymouse03052002
null
null
null
0
0
1. The quick brown fox jumps over the lazy dog. 2. A red rose blooms in the garden under the warm sun. 3. Birds chirp happily in the morning, welcoming a new day. 4. The old oak tree stands tall and strong in the forest. 5. Children laugh and play in the park, full of joy. 6. The ocean waves crash against the rocky shore. 7. In a cozy cafe, people sip coffee and chat. 8. The city skyline sparkles with lights at night. 9. Books line the shelves of a dusty library. 10. Hiking through the mountains, I find peace. 11. Raindrops tap gently on the windowpane. 12. A rainbow arches across the sky after the rain. 13. The smell of freshly baked bread fills the kitchen. 14. Stars twinkle in the dark night sky. 15. Friends gather around a bonfire, sharing stories. 16. A lone wolf howls at the moon in the wilderness. 17. The sound of waves lulls me to sleep at the beach. 18. An artist paints a masterpiece on a canvas. 19. The aroma of flowers fills the air in the garden. 20. A violin's melody brings tears to my eyes. 21. The first snowfall blankets the town in white. 22. Children build sandcastles on the sandy beach. 23. The aroma of popcorn wafts from the movie theater. 24. Time stands still as I watch the sunset. 25. The river flows peacefully through the valley. 26. A gentle breeze rustles the leaves in the forest. 27. A lighthouse guides ships safely to shore. 28. The smell of fresh-cut grass fills the air. 29. Autumn leaves paint the trees in vibrant colors. 30. A cat curls up by the fireplace, purring softly. 31. The laughter of children echoes in the playground. 32. A hot air balloon soars high above the landscape. 33. The smell of rain brings memories of childhood. 34. A bee buzzes around a field of wildflowers. 35. The sound of waves crashing is music to my ears. 36. The city streets bustle with life and activity. 37. A gentle river meanders through the countryside. 38. A shooting star streaks across the night sky. 39. The scent of fresh coffee wakes me in the morning. 40. Fireworks light up the sky on the Fourth of July. 41. The moon's reflection shimmers on the water's surface. 42. A snowy owl perches silently in a tree. 43. Children release colorful balloons into the sky. 44. The smell of barbecue fills the backyard. 45. A hiker reaches the summit of a mountain. 46. The scent of pine trees fills the forest. 47. Waves crash against the rocks along the shore. 48. A warm hug from a loved one is comforting. 49. The sound of crickets chirping signals evening. 50. The rain brings life to the parched earth. 51. A kitten plays with a ball of yarn. 52. Sunflowers turn to face the sun in the field. 53. The ocean's vastness fills me with wonder. 54. A campfire crackles and pops in the wilderness. 55. A rainbow stretches across the horizon. 56. The smell of cinnamon and apples fills the kitchen. 57. A bicycle ride through the park is invigorating. 58. Fireflies light up the summer night. 59. The first sip of hot chocolate warms the soul. 60. A baby's laughter is pure and infectious. 61. The scent of pine needles evokes memories of Christmas. 62. A waterfall cascades down the rocks. 63. The city skyline glistens with skyscrapers. 64. A gentle rain falls on the rooftop. 65. A hummingbird hovers near a vibrant flower. 66. The sound of a crackling fire is soothing. 67. A warm blanket wraps around me on a cold night. 68. The smell of the ocean breeze is refreshing. 69. Snowflakes dance in the air during a winter storm. 70. The laughter of friends fills the room. 71. A meadow is covered in a carpet of wildflowers. 72. The rustling of leaves in the forest is calming. 73. A shooting star grants a silent wish. 74. The scent of fresh-baked cookies is irresistible. 75. A horse gallops freely in a green pasture. 76. The city lights twinkle like stars. 77. A soft snowfall blankets the landscape. 78. A campfire's glow warms the chilly night. 79. The aroma of roses fills the garden. 80. A gentle stream flows through the meadow. 81. The sound of a babbling brook is peaceful. 82. A rainbow appears after a summer rain shower. 83. The scent of lavender relaxes the mind. 84. Birds sing their morning songs in the trees. 85. A kite soars high in the clear blue sky. 86. The city streets are alive with activity. 87. A sunflower field stretches to the horizon. 88. The aroma of fresh-baked bread is mouthwatering. 89. A gentle breeze rustles the leaves in the park. 90. The waves of the ocean crash against the shore. 91. A crackling fire warms the cabin in the woods. 92. The smell of pine trees fills the forest air. 93. A mountain peak touches the sky. 94. The laughter of children fills the playground. 95. A rainbow arches over a tranquil lake. 96. The scent of blooming flowers fills the garden. 97. A violin's melody tugs at the heartstrings. 98. The first snowflake falls silently to the ground. 99. A cat purrs contentedly in a sunbeam. 100. The sound of waves lulls me to sleep by the sea.
svjack/CatCup
2023-09-25T10:07:41.000Z
[ "region:us" ]
svjack
null
null
null
0
0
Entry not found
yzhuang/autotree_automl_Higgs_gosdt_l512_d3_sd2
2023-09-21T06:38:35.000Z
[ "region:us" ]
yzhuang
null
null
null
0
0
--- dataset_info: features: - name: id dtype: int64 - name: input_x sequence: sequence: float64 - name: input_y sequence: sequence: float32 - name: rtg sequence: float64 - name: status sequence: sequence: float32 - name: split_threshold sequence: sequence: float64 - name: split_dimension sequence: int64 splits: - name: train num_bytes: 12501600000 num_examples: 100000 - name: validation num_bytes: 1250160000 num_examples: 10000 download_size: 9801930446 dataset_size: 13751760000 --- # Dataset Card for "autotree_automl_Higgs_gosdt_l512_d3_sd2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
hexl/AIvoz
2023-09-21T06:52:35.000Z
[ "art", "region:us" ]
hexl
null
null
null
0
0
--- tags: - art ---
jerrysd/mw2
2023-09-21T06:48:15.000Z
[ "license:wtfpl", "region:us" ]
jerrysd
null
null
null
0
0
--- license: wtfpl ---
nicoy/zhizunbao_large
2023-09-21T07:06:01.000Z
[ "license:cc", "region:us" ]
nicoy
null
null
null
0
0
--- license: cc ---
c01dsnap/MaliciousPEs
2023-09-27T09:25:33.000Z
[ "license:other", "region:us" ]
c01dsnap
null
null
null
0
0
--- license: other --- # Dataset Description Detailed description: [www.kaggle.com/competitions/malware-classification/overview/description](https://www.kaggle.com/competitions/malware-classification/overview/description) Warning: this dataset is almost half a terabyte uncompressed! We have compressed the data using 7zip to achieve the smallest file size possible. Note that the rules do not allow sharing of the data outside of Kaggle, including bit torrent ([why not?](https://www.kaggle.com/wiki/ANoteOnTorrents)). You are provided with a set of known malware files representing a mix of 9 different families. Each malware file has an Id, a 20 character hash value uniquely identifying the file, and a Class, an integer representing one of 9 family names to which the malware may belong: * Ramnit * Lollipop * Kelihos_ver3 * Vundo * Simda * Tracur * Kelihos_ver1 * Obfuscator.ACY * Gatak For each file, the raw data contains the hexadecimal representation of the file's binary content, without the PE header (to ensure sterility). You are also provided a metadata manifest, which is a log containing various metadata information extracted from the binary, such as function calls, strings, etc. This was generated using the IDA disassembler tool. Your task is to develop the best mechanism for classifying files in the test set into their respective family affiliations. The dataset contains the following files: * train.7z - the raw data for the training set (MD5 hash = 4fedb0899fc2210a6c843889a70952ed) * trainLabels.csv - the class labels associated with the training set * test.7z - the raw data for the test set (MD5 hash = 84b6fbfb9df3c461ed2cbbfa371ffb43) * sampleSubmission.csv - a file showing the valid submission format * dataSample.csv - a sample of the dataset to preview before downloading
GautamR/akai_flow_classifier_seed_pest_scheme
2023-10-07T05:28:43.000Z
[ "license:apache-2.0", "region:us" ]
GautamR
null
null
null
0
0
--- license: apache-2.0 ---
leezq/lllll100-samples
2023-09-21T07:24:18.000Z
[ "region:us" ]
leezq
null
null
null
0
0
Entry not found
18moumi/trialdata
2023-09-21T07:36:04.000Z
[ "region:us" ]
18moumi
null
null
null
0
0
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 48673 num_examples: 142 download_size: 21464 dataset_size: 48673 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "trialdata" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
dostai/data-parsing-new-dataset-v4-updated-labels
2023-09-21T07:45:38.000Z
[ "region:us" ]
dostai
null
null
null
0
0
--- dataset_info: features: - name: image dtype: image - name: ground_truth struct: - name: gt_parse struct: - name: VendorCompanyName dtype: string - name: VendorCompanyID dtype: string - name: InvoiceID dtype: string splits: - name: train num_bytes: 293781936.0 num_examples: 146 download_size: 31041936 dataset_size: 293781936.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "data-parsing-new-dataset-v4-updated-labels" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tanmay2798/codedataset
2023-09-21T08:02:59.000Z
[ "license:llama2", "region:us" ]
tanmay2798
null
null
null
0
0
--- license: llama2 --- annotations_creators: - no-annotation language: - en language_creators: - expert-generated license: - other multilinguality: - monolingual pretty_name: codedataset size_categories: - n<1K source_datasets: - original tags: [] task_categories: - text2text-generation - text-generation - question-answering task_ids: - explanation-generation - open-book-qa - closed-book-qa - abstractive-qa - language-modeling - dialogue-modeling - extractive-qa
mboth/luft_versorgen_2830-undersampled
2023-09-21T08:00:57.000Z
[ "region:us" ]
mboth
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: valid path: data/valid-* dataset_info: features: - name: Datatype dtype: string - name: Beschreibung dtype: string - name: Name dtype: string - name: Unit dtype: string - name: text dtype: string - name: Grundfunktion dtype: string - name: label dtype: class_label: names: '0': LuftBereitstellen '1': LuftVerteilen splits: - name: train num_bytes: 1118270.5721056196 num_examples: 5660 - name: test num_bytes: 290707 num_examples: 1477 - name: valid num_bytes: 290707 num_examples: 1477 download_size: 603236 dataset_size: 1699684.5721056196 --- # Dataset Card for "luft_versorgen_2830-undersampled" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
TalTechNLP/err-newsroom-keyphrases
2023-09-21T08:15:54.000Z
[ "task_categories:summarization", "task_categories:text2text-generation", "language:et", "license:cc-by-4.0", "region:us" ]
TalTechNLP
null
null
null
0
0
--- license: cc-by-4.0 task_categories: - summarization - text2text-generation language: - et pretty_name: ERR Newsroom Keyphrases --- # ERR Newsroom Keyphrases This dataset is a subset of [ERR Newsroom](https://huggingface.co/datasets/TalTechNLP/err-newsroom), with up to 5 keyphrases assigned to each news article. The keyphrases are generated using the OpenAI API, using the `gpt-3.5-turbo` model (see the script `extract-keywords-openai.py`).
daje/tokenized_kowiki
2023-09-21T08:04:06.000Z
[ "region:us" ]
daje
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1656585668 num_examples: 1706411 download_size: 682692770 dataset_size: 1656585668 --- # Dataset Card for "tokenized_kowiki" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
thanhduycao/data_for_synthesis_with_entities_align_v4
2023-09-21T08:17:43.000Z
[ "region:us" ]
thanhduycao
null
null
null
0
0
--- dataset_info: config_name: 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 features: - name: id dtype: string - name: sentence dtype: string - name: intent dtype: string - name: sentence_annotation dtype: string - name: entities list: - name: type dtype: string - name: filler dtype: string - name: file dtype: string - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: origin_transcription dtype: string - name: sentence_norm dtype: string - name: w2v2_large_transcription dtype: string - name: wer dtype: int64 - name: entities_norm list: - name: filler dtype: string - name: type dtype: string - name: entities_align dtype: string splits: - name: train num_bytes: 2667449542.4493446 num_examples: 5029 download_size: 632908060 dataset_size: 2667449542.4493446 configs: - config_name: 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 data_files: - split: train path: 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/train-* --- # Dataset Card for "data_for_synthesis_with_entities_align_v4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
linhqyy/data_aug_full_0919_new
2023-09-21T08:20:13.000Z
[ "region:us" ]
linhqyy
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: sentence dtype: string - name: intent dtype: string - name: entities list: - name: filler dtype: string - name: type dtype: string - name: labels dtype: string splits: - name: train num_bytes: 1621998 num_examples: 7687 - name: test num_bytes: 138487 num_examples: 660 download_size: 366308 dataset_size: 1760485 --- # Dataset Card for "data_aug_full_0919_new" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mychen76/wildreceipts_ocr_test
2023-09-21T10:12:26.000Z
[ "region:us" ]
mychen76
null
null
null
0
0
--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 53982770.0 num_examples: 452 download_size: 49734928 dataset_size: 53982770.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "wildreceipts_ocr_test" see train dataset for full detail: https://huggingface.co/datasets/mychen76/wildreceipts_ocr_train [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Thanmay/indic-sentiment
2023-10-05T17:36:34.000Z
[ "region:us" ]
Thanmay
null
null
null
0
0
--- configs: - config_name: default data_files: - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: GENERIC CATEGORIES dtype: string - name: CATEGORY dtype: string - name: SUB-CATEGORY dtype: string - name: PRODUCT dtype: string - name: BRAND dtype: string - name: ASPECTS dtype: string - name: ASPECT COMBO dtype: string - name: ENGLISH REVIEW dtype: string - name: LABEL dtype: string - name: INDIC REVIEW dtype: string - name: ITV2 HI REVIEW dtype: string - name: ITV2 TE REVIEW dtype: string - name: ITV2 KN REVIEW dtype: string - name: ITV2 GU REVIEW dtype: string - name: ITV2 OR REVIEW dtype: string - name: ITV2 ML REVIEW dtype: string - name: ITV2 BD REVIEW dtype: string - name: ITV2 UR REVIEW dtype: string - name: ITV2 AS REVIEW dtype: string - name: ITV2 BN REVIEW dtype: string - name: ITV2 MR REVIEW dtype: string - name: ITV2 PA REVIEW dtype: string - name: ITV2 TA REVIEW dtype: string splits: - name: validation num_bytes: 382343 num_examples: 156 - name: test num_bytes: 2447023 num_examples: 1000 download_size: 1710213 dataset_size: 2829366 --- # Dataset Card for "indic-sentiment" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
daje/tokenized_enwiki
2023-09-21T09:00:14.000Z
[ "region:us" ]
daje
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 24408319844 num_examples: 16370815 download_size: 10890317773 dataset_size: 24408319844 --- # Dataset Card for "tokenized_enwiki" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
newdboy/word-comparative-judge
2023-09-21T08:52:19.000Z
[ "license:openrail", "region:us" ]
newdboy
null
null
null
0
0
--- license: openrail ---
Lei-USYD/datasets_medical
2023-09-21T09:41:17.000Z
[ "region:us" ]
Lei-USYD
null
null
null
0
0
Entry not found
eslyalin/RPLM_DOCS
2023-09-21T11:19:44.000Z
[ "license:openrail", "region:us" ]
eslyalin
null
null
null
0
0
--- license: openrail ---
FreedomIntelligence/Arabic-AlpacaEval
2023-09-21T09:06:06.000Z
[ "region:us" ]
FreedomIntelligence
null
null
null
0
0
Entry not found
mboth/medien_versorgen_303-undersampled
2023-09-21T09:12:03.000Z
[ "region:us" ]
mboth
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: valid path: data/valid-* dataset_info: features: - name: Datatype dtype: string - name: Beschreibung dtype: string - name: Name dtype: string - name: Unit dtype: string - name: text dtype: string - name: Grundfunktion dtype: string - name: label dtype: class_label: names: '0': Bereitstellen '1': Entsorgen '2': Speichern '3': Verteilen splits: - name: train num_bytes: 59754.580327868855 num_examples: 303 - name: test num_bytes: 14725 num_examples: 77 - name: valid num_bytes: 14725 num_examples: 77 download_size: 42321 dataset_size: 89204.58032786885 --- # Dataset Card for "medien_versorgen_303-undersampled" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
SminC/cartoonizer-dataset
2023-09-21T10:11:37.000Z
[ "region:us" ]
SminC
null
null
null
0
0
--- dataset_info: features: - name: original_image dtype: image - name: edit_prompt dtype: string - name: cartoonized_image dtype: image splits: - name: train num_bytes: 31770277.0 num_examples: 50 download_size: 31772590 dataset_size: 31770277.0 --- # Dataset Card for "cartoonizer-dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
LRoussel/dessin
2023-09-21T10:38:49.000Z
[ "task_categories:image-to-image", "size_categories:n<1K", "language:fr", "license:openrail", "region:us" ]
LRoussel
null
null
null
0
0
--- license: openrail task_categories: - image-to-image language: - fr pretty_name: train_dessin size_categories: - n<1K --- # 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]
YXStableDiffusion/Other
2023-09-21T10:34:39.000Z
[ "region:us" ]
YXStableDiffusion
null
null
null
0
0
Entry not found
Intel/orca_dpo_pairs
2023-09-26T11:18:30.000Z
[ "license:apache-2.0", "arxiv:2306.02707", "region:us" ]
Intel
null
null
null
0
0
--- license: apache-2.0 --- The dataset contains 12k examples from [Orca](https://arxiv.org/abs/2306.02707) style dataset [Open-Orca/OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca).
dss107/news2
2023-09-21T10:44:22.000Z
[ "region:us" ]
dss107
null
null
null
0
0
Entry not found
ImNobody/whisper-base-de-paperspace
2023-09-21T10:51:40.000Z
[ "region:us" ]
ImNobody
null
null
null
0
0
Entry not found
borisGB/test
2023-09-21T11:15:15.000Z
[ "region:us" ]
borisGB
null
null
null
0
0
Entry not found
ketoxboomtest/ketoxboomtest
2023-09-21T11:27:40.000Z
[ "region:us" ]
ketoxboomtest
null
null
null
0
0
Entry not found
taelaw/pdldog
2023-09-21T12:38:05.000Z
[ "region:us" ]
taelaw
null
null
null
0
0
taelaw/dasd
2023-09-21T12:35:54.000Z
[ "region:us" ]
taelaw
null
null
null
0
0
Entry not found
priyanka1551/flipkartgrid
2023-09-21T12:37:47.000Z
[ "region:us" ]
priyanka1551
null
null
null
0
0
Entry not found
mboth/grundfunktionen-50-undersampled
2023-09-21T13:00:49.000Z
[ "region:us" ]
mboth
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: valid path: data/valid-* dataset_info: features: - name: Datatype dtype: string - name: Beschreibung dtype: string - name: Name dtype: string - name: Unit dtype: string - name: text dtype: string - name: label dtype: class_label: names: '0': AndereAnlagen '1': Befoerdern '2': KaelteVersorgen '3': LuftVersorgen '4': MedienVersorgen '5': Sichern '6': StromVersorgen '7': WaermeVersorgen splits: - name: train num_bytes: 63763.936884264804 num_examples: 362 - name: test num_bytes: 952887 num_examples: 5431 - name: valid num_bytes: 952887 num_examples: 5431 download_size: 870993 dataset_size: 1969537.936884265 --- # Dataset Card for "grundfunktionen-50-undersampled" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mboth/grundfunktionen-100-undersampled
2023-09-21T13:00:52.000Z
[ "region:us" ]
mboth
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: valid path: data/valid-* dataset_info: features: - name: Datatype dtype: string - name: Beschreibung dtype: string - name: Name dtype: string - name: Unit dtype: string - name: text dtype: string - name: label dtype: class_label: names: '0': AndereAnlagen '1': Befoerdern '2': KaelteVersorgen '3': LuftVersorgen '4': MedienVersorgen '5': Sichern '6': StromVersorgen '7': WaermeVersorgen splits: - name: train num_bytes: 125414.15210385784 num_examples: 712 - name: test num_bytes: 952887 num_examples: 5431 - name: valid num_bytes: 952887 num_examples: 5431 download_size: 893763 dataset_size: 2031188.1521038578 --- # Dataset Card for "grundfunktionen-100-undersampled" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mboth/grundfunktionen-200-undersampled
2023-09-21T13:00:55.000Z
[ "region:us" ]
mboth
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: valid path: data/valid-* dataset_info: features: - name: Datatype dtype: string - name: Beschreibung dtype: string - name: Name dtype: string - name: Unit dtype: string - name: text dtype: string - name: label dtype: class_label: names: '0': AndereAnlagen '1': Befoerdern '2': KaelteVersorgen '3': LuftVersorgen '4': MedienVersorgen '5': Sichern '6': StromVersorgen '7': WaermeVersorgen splits: - name: train num_bytes: 248714.5825430439 num_examples: 1412 - name: test num_bytes: 952887 num_examples: 5431 - name: valid num_bytes: 952887 num_examples: 5431 download_size: 945049 dataset_size: 2154488.582543044 --- # Dataset Card for "grundfunktionen-200-undersampled" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
BBrother/SW
2023-10-01T03:04:09.000Z
[ "license:openrail", "region:us" ]
BBrother
null
null
null
0
0
--- license: openrail ---
SakshiJS/Dataset
2023-09-21T13:28:26.000Z
[ "license:other", "region:us" ]
SakshiJS
null
null
null
0
0
--- license: other ---
TrainingDataPro/dogs-video-object-tracking-dataset
2023-10-09T09:43:57.000Z
[ "task_categories:image-to-image", "task_categories:object-detection", "language:en", "license:cc-by-nc-nd-4.0", "code", "biology", "region:us" ]
TrainingDataPro
The dataset contains frames extracted from videos with dogs on the streets. Each frame is accompanied by **bounding box** that specifically **tracks the dog** in the image. The dataset provides a valuable resource for advancing computer vision tasks, enabling the development of more accurate and effective solutions for monitoring and understanding dog behavior in urban settings.
@InProceedings{huggingface:dataset, title = {dogs-video-object-tracking-dataset}, author = {TrainingDataPro}, year = {2023} }
null
1
0
--- language: - en license: cc-by-nc-nd-4.0 task_categories: - image-to-image - object-detection tags: - code - biology dataset_info: - config_name: video_01 features: - name: id dtype: int32 - name: name dtype: string - name: image dtype: image - name: mask dtype: image - name: shapes sequence: - name: track_id dtype: uint32 - name: label dtype: class_label: names: '0': dog - name: type dtype: string - name: points sequence: sequence: float32 - name: rotation dtype: float32 - name: occluded dtype: uint8 - name: attributes sequence: - name: name dtype: string - name: text dtype: string splits: - name: train num_bytes: 14990 num_examples: 52 download_size: 313328015 dataset_size: 14990 - config_name: video_02 features: - name: id dtype: int32 - name: name dtype: string - name: image dtype: image - name: mask dtype: image - name: shapes sequence: - name: track_id dtype: uint32 - name: label dtype: class_label: names: '0': dog - name: type dtype: string - name: points sequence: sequence: float32 - name: rotation dtype: float32 - name: occluded dtype: uint8 - name: attributes sequence: - name: name dtype: string - name: text dtype: string splits: - name: train num_bytes: 19600 num_examples: 58 download_size: 67354761 dataset_size: 19600 - config_name: video_03 features: - name: id dtype: int32 - name: name dtype: string - name: image dtype: image - name: mask dtype: image - name: shapes sequence: - name: track_id dtype: uint32 - name: label dtype: class_label: names: '0': dog - name: type dtype: string - name: points sequence: sequence: float32 - name: rotation dtype: float32 - name: occluded dtype: uint8 - name: attributes sequence: - name: name dtype: string - name: text dtype: string splits: - name: train num_bytes: 14126 num_examples: 49 download_size: 148412090 dataset_size: 14126 --- # Dogs Video Object Tracking Dataset The dataset contains frames extracted from videos with dogs on the streets. Each frame is accompanied by **bounding box** that specifically **tracks the dog** in the image. The dataset provides a valuable resource for advancing computer vision tasks, enabling the development of more accurate and effective solutions for monitoring and understanding dog behavior in urban settings. ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F2d6ca1d0561d6eaf77f60743335d4e03%2F3cb2d54c-7dd7-4c05-8764-bf2156e90381.gif?generation=1695301016829163&alt=media) # Get the dataset ### This is just an example of the data Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=dogs-video-object-tracking-dataset) to discuss your requirements, learn about the price and buy the dataset. # Dataset structure The dataset consists of 3 folders with frames from the video with dogs on the streets. Each folder includes: - **images**: folder with original frames from the video, - **boxes**: visualized data labeling for the images in the previous folder, - **.csv file**: file with id and path of each frame in the "images" folder, - **annotations.xml**: contains coordinates of the bounding boxes, created for the original frames # Data Format Each frame from `images` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the bounding boxes for dogs tracking. For each point, the x and y coordinates are provided. # Example of the XML-file ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F8efa058042b600f842fbb76da35c4876%2Fcarbon%20(1).png?generation=1695994709378514&alt=media) # Object tracking might be made in accordance with your requirements. ## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=dogs-video-object-tracking-dataset)** provides high-quality data annotation tailored to your needs More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
f123a/test-repo
2023-09-21T14:45:14.000Z
[ "region:us" ]
f123a
null
null
null
0
0
Entry not found
DmitrMakeev/AnimeGANv3
2023-09-21T14:15:30.000Z
[ "region:us" ]
DmitrMakeev
null
null
null
0
0
Entry not found
superqing/test
2023-09-21T13:40:13.000Z
[ "region:us" ]
superqing
null
null
null
0
0
Entry not found
kaempferdesu/biba555
2023-09-21T13:43:16.000Z
[ "region:us" ]
kaempferdesu
null
null
null
0
0
Entry not found
mmenendezg/brain-tumor-object-detection
2023-10-03T22:48:44.000Z
[ "region:us" ]
mmenendezg
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: image_id dtype: int64 - name: image dtype: image - name: objects struct: - name: area sequence: int64 - name: bbox sequence: sequence: int64 - name: id sequence: int64 - name: iscrowd sequence: int64 - name: label sequence: float64 splits: - name: train num_bytes: 21560470.835990887 num_examples: 614 - name: validation num_bytes: 9270300.164009111 num_examples: 264 - name: test num_bytes: 7552385.0 num_examples: 223 download_size: 30702966 dataset_size: 38383156.0 --- # Dataset Card for "brain-tumor-object-detection" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
imsorry001/texttoimage
2023-09-21T13:49:33.000Z
[ "license:unknown", "region:us" ]
imsorry001
null
null
null
0
0
--- license: unknown ---
mtyrrell/policy_qa_rag
2023-10-04T22:01:43.000Z
[ "region:us" ]
mtyrrell
null
null
null
0
0
Entry not found
BangumiBase/fatestaynightufotable
2023-09-29T09:53:51.000Z
[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]
BangumiBase
null
null
null
0
0
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Fate Stay Night [ufotable] This is the image base of bangumi Fate Stay Night [UFOTABLE], we detected 27 characters, 3899 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 | 742 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 31 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 49 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 74 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 117 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 62 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 19 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 1211 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 74 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 98 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 7 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | N/A | | 11 | 117 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 306 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 18 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 164 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 330 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 18 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 60 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | ![preview 7](17/preview_7.png) | ![preview 8](17/preview_8.png) | | 18 | 76 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | 19 | 20 | [Download](19/dataset.zip) | ![preview 1](19/preview_1.png) | ![preview 2](19/preview_2.png) | ![preview 3](19/preview_3.png) | ![preview 4](19/preview_4.png) | ![preview 5](19/preview_5.png) | ![preview 6](19/preview_6.png) | ![preview 7](19/preview_7.png) | ![preview 8](19/preview_8.png) | | 20 | 16 | [Download](20/dataset.zip) | ![preview 1](20/preview_1.png) | ![preview 2](20/preview_2.png) | ![preview 3](20/preview_3.png) | ![preview 4](20/preview_4.png) | ![preview 5](20/preview_5.png) | ![preview 6](20/preview_6.png) | ![preview 7](20/preview_7.png) | ![preview 8](20/preview_8.png) | | 21 | 38 | [Download](21/dataset.zip) | ![preview 1](21/preview_1.png) | ![preview 2](21/preview_2.png) | ![preview 3](21/preview_3.png) | ![preview 4](21/preview_4.png) | ![preview 5](21/preview_5.png) | ![preview 6](21/preview_6.png) | ![preview 7](21/preview_7.png) | ![preview 8](21/preview_8.png) | | 22 | 34 | [Download](22/dataset.zip) | ![preview 1](22/preview_1.png) | ![preview 2](22/preview_2.png) | ![preview 3](22/preview_3.png) | ![preview 4](22/preview_4.png) | ![preview 5](22/preview_5.png) | ![preview 6](22/preview_6.png) | ![preview 7](22/preview_7.png) | ![preview 8](22/preview_8.png) | | 23 | 34 | [Download](23/dataset.zip) | ![preview 1](23/preview_1.png) | ![preview 2](23/preview_2.png) | ![preview 3](23/preview_3.png) | ![preview 4](23/preview_4.png) | ![preview 5](23/preview_5.png) | ![preview 6](23/preview_6.png) | ![preview 7](23/preview_7.png) | ![preview 8](23/preview_8.png) | | 24 | 8 | [Download](24/dataset.zip) | ![preview 1](24/preview_1.png) | ![preview 2](24/preview_2.png) | ![preview 3](24/preview_3.png) | ![preview 4](24/preview_4.png) | ![preview 5](24/preview_5.png) | ![preview 6](24/preview_6.png) | ![preview 7](24/preview_7.png) | ![preview 8](24/preview_8.png) | | 25 | 11 | [Download](25/dataset.zip) | ![preview 1](25/preview_1.png) | ![preview 2](25/preview_2.png) | ![preview 3](25/preview_3.png) | ![preview 4](25/preview_4.png) | ![preview 5](25/preview_5.png) | ![preview 6](25/preview_6.png) | ![preview 7](25/preview_7.png) | ![preview 8](25/preview_8.png) | | noise | 165 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
eroberto123/pablo
2023-10-02T17:21:54.000Z
[ "license:unknown", "region:us" ]
eroberto123
null
null
null
0
0
--- license: unknown ---
HandsomeHawk/rs
2023-09-21T16:06:37.000Z
[ "region:us" ]
HandsomeHawk
null
null
null
0
0
Entry not found
osore/regimefinale
2023-09-21T16:58:10.000Z
[ "region:us" ]
osore
null
null
null
0
0
Entry not found
gus013666/gustavomd
2023-09-21T16:24:16.000Z
[ "region:us" ]
gus013666
null
null
null
0
0
Entry not found
Burgod/Pepeto
2023-09-21T17:50:43.000Z
[ "region:us" ]
Burgod
null
null
null
0
0
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/datasets-cards {} --- # 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]