sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3ded52588975a96bbce202da4cdf605278e88274 |
This dataset is created by translating a part of the Stanford QA dataset.
It contains 5k QA pairs from the original SQuad dataset translated to Hindi using the googletrans api. | aneesh-b/SQuAD_Hindi | [
"license:unknown",
"region:us"
] | 2022-10-14T18:20:33+00:00 | {"license": "unknown"} | 2022-10-16T05:18:33+00:00 | [] | [] | TAGS
#license-unknown #region-us
|
This dataset is created by translating a part of the Stanford QA dataset.
It contains 5k QA pairs from the original SQuad dataset translated to Hindi using the googletrans api. | [] | [
"TAGS\n#license-unknown #region-us \n"
] | [
13
] | [
"passage: TAGS\n#license-unknown #region-us \n"
] |
c2c253732cadc497dd41ab0029779f7735060e52 | # Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rick012/celeb-identities | [
"region:us"
] | 2022-10-14T18:32:12+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Cristiano_Ronaldo", "1": "Jay_Z", "2": "Nicki_Minaj", "3": "Peter_Obi", "4": "Roger_Federer", "5": "Serena_Williams"}}}}], "splits": [{"name": "train", "num_bytes": 195536.0, "num_examples": 1... | 2022-10-14T18:48:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celeb-identities"
More Information needed | [
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
] | [
6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"celeb-identities\"\n\nMore Information needed"
] |
e56902acc46a67a5f18623dd73a38d6685672a3f | # Dataset Card for "BRAD"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/BRAD | [
"region:us"
] | 2022-10-14T18:38:23+00:00 | {"dataset_info": {"features": [{"name": "review_id", "dtype": "string"}, {"name": "book_id", "dtype": "string"}, {"name": "user_id", "dtype": "string"}, {"name": "review", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": 1, "1": 2, "2": 3, "3": 4, "4": 5}}}}], "splits": [{"name": "train", ... | 2022-10-14T18:38:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "BRAD"
More Information needed | [
"# Dataset Card for \"BRAD\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"BRAD\"\n\nMore Information needed"
] | [
6,
12
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"BRAD\"\n\nMore Information needed"
] |
4b2ea7773f47fa46fef6408a38620fd08d19e055 |
# Dataset Card for OpenSLR Nepali Large ASR Cleaned
## Table of Contents
- [Dataset Card for OpenSLR Nepali Large ASR Cleaned](#dataset-card-for-openslr-nepali-large-asr-cleaned)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
-... | spktsagar/openslr-nepali-asr-cleaned | [
"license:cc-by-sa-4.0",
"region:us"
] | 2022-10-14T18:44:31+00:00 | {"license": "cc-by-sa-4.0", "dataset_info": [{"config_name": "original", "features": [{"name": "utterance_id", "dtype": "string"}, {"name": "speaker_id", "dtype": "string"}, {"name": "utterance", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "num_frames", "dtype":... | 2022-10-23T17:15:15+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
|
# Dataset Card for OpenSLR Nepali Large ASR Cleaned
## Table of Contents
- Dataset Card for OpenSLR Nepali Large ASR Cleaned
- Table of Contents
- Dataset Description
- Dataset Summary
- How to use?
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Dat... | [
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"## Table of Contents\n- Dataset Card for OpenSLR Nepali Large ASR Cleaned\n - Table of Contents\n - Dataset Description\n - Dataset Summary\n - How to use?\n - Supported Tasks and Leaderboards\n - Languages\n - Dataset Structure\n - Data In... | [
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da93d7ca5f81aaae854ade8bcaf8147a6d0a0cb5 | from datasets import load_dataset
dataset = load_dataset("Ariela/muneca-papel")
| Ariela/muneca-papel | [
"license:unknown",
"region:us"
] | 2022-10-14T18:44:36+00:00 | {"license": "unknown"} | 2022-10-15T18:56:12+00:00 | [] | [] | TAGS
#license-unknown #region-us
| from datasets import load_dataset
dataset = load_dataset("Ariela/muneca-papel")
| [] | [
"TAGS\n#license-unknown #region-us \n"
] | [
13
] | [
"passage: TAGS\n#license-unknown #region-us \n"
] |
c4a17a7a5dbacb594c23e8ff0aafca7250121013 | # Dataset Card for "OSACT4_hatespeech"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/OSACT4_hatespeech | [
"region:us"
] | 2022-10-14T18:48:30+00:00 | {"dataset_info": {"features": [{"name": "tweet", "dtype": "string"}, {"name": "offensive", "dtype": "string"}, {"name": "hate", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1417732, "num_examples": 6838}, {"name": "validation", "num_bytes": 204725, "num_examples": 999}], "download_size": 802812, "data... | 2022-10-14T18:48:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OSACT4_hatespeech"
More Information needed | [
"# Dataset Card for \"OSACT4_hatespeech\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"OSACT4_hatespeech\"\n\nMore Information needed"
] | [
6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"OSACT4_hatespeech\"\n\nMore Information needed"
] |
37c7175b2b6f07d4c749f7390ce9784e999aa1d5 | # Dataset Card for "Sentiment_Lexicons"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/Sentiment_Lexicons | [
"region:us"
] | 2022-10-14T18:56:58+00:00 | {"dataset_info": {"features": [{"name": "Term", "dtype": "string"}, {"name": "bulkwalter", "dtype": "string"}, {"name": "sentiment_score", "dtype": "string"}, {"name": "positive_occurrence_count", "dtype": "string"}, {"name": "negative_occurrence_count", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20... | 2022-10-14T18:57:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Sentiment_Lexicons"
More Information needed | [
"# Dataset Card for \"Sentiment_Lexicons\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Sentiment_Lexicons\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Sentiment_Lexicons\"\n\nMore Information needed"
] |
e43dbe88d29779bc0440e214fc4de451d22392bc | ## Córpus de Complexidade Textual para Estágios Escolares do Sistema Educacional Brasileiro
O córpus inclui trechos de: livros-textos cuja lista completa é apresentada abaixo, notícias da Seção Para Seu Filho Ler (PSFL) do jornal Zero Hora que apresenta algumas notícias sobre o mesmo córpus do jornal do Zero Hora, mas... | tiagoblima/nilc-school-books | [
"license:mit",
"region:us"
] | 2022-10-14T20:09:32+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "text_id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "level", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 1276559.048483246, "num_examples": 8321}, {"name": "train", "num_bytes": 4595060.28364021, "num_examples": 29952}, ... | 2022-11-13T01:03:20+00:00 | [] | [] | TAGS
#license-mit #region-us
| ## Córpus de Complexidade Textual para Estágios Escolares do Sistema Educacional Brasileiro
O córpus inclui trechos de: livros-textos cuja lista completa é apresentada abaixo, notícias da Seção Para Seu Filho Ler (PSFL) do jornal Zero Hora que apresenta algumas notícias sobre o mesmo córpus do jornal do Zero Hora, mas... | [
"## Córpus de Complexidade Textual para Estágios Escolares do Sistema Educacional Brasileiro\n\nO córpus inclui trechos de: livros-textos cuja lista completa é apresentada abaixo, notícias da Seção Para Seu Filho Ler (PSFL) do jornal Zero Hora que apresenta algumas notícias sobre o mesmo córpus do jornal do Zero Ho... | [
"TAGS\n#license-mit #region-us \n",
"## Córpus de Complexidade Textual para Estágios Escolares do Sistema Educacional Brasileiro\n\nO córpus inclui trechos de: livros-textos cuja lista completa é apresentada abaixo, notícias da Seção Para Seu Filho Ler (PSFL) do jornal Zero Hora que apresenta algumas notícias sob... | [
11,
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"passage: TAGS\n#license-mit #region-us \n## Córpus de Complexidade Textual para Estágios Escolares do Sistema Educacional Brasileiro\n\nO córpus inclui trechos de: livros-textos cuja lista completa é apresentada abaixo, notícias da Seção Para Seu Filho Ler (PSFL) do jornal Zero Hora que apresenta algumas notícias ... |
c2f48f68766a519e06a81cbc405d36dd4762d785 | # Dataset Card for "Commonsense_Validation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/Commonsense_Validation | [
"region:us"
] | 2022-10-14T20:52:13+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "first_sentence", "dtype": "string"}, {"name": "second_sentence", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": 0, "1": 1}}}}], "splits": [{"name": "train", "num_bytes": 1420233, "num_examples": 10000}, {"name": ... | 2022-10-14T20:52:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Commonsense_Validation"
More Information needed | [
"# Dataset Card for \"Commonsense_Validation\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Commonsense_Validation\"\n\nMore Information needed"
] | [
6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"Commonsense_Validation\"\n\nMore Information needed"
] |
fed92167f9ae45fac1207017212a0c5bc6da02cd | # Dataset Card for "arastance"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/arastance | [
"region:us"
] | 2022-10-14T21:14:14+00:00 | {"dataset_info": {"features": [{"name": "filename", "dtype": "string"}, {"name": "claim", "dtype": "string"}, {"name": "claim_url", "dtype": "string"}, {"name": "article", "dtype": "string"}, {"name": "stance", "dtype": {"class_label": {"names": {"0": "Discuss", "1": "Disagree", "2": "Unrelated", "3": "Agree"}}}}, {"na... | 2022-10-14T21:14:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "arastance"
More Information needed | [
"# Dataset Card for \"arastance\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"arastance\"\n\nMore Information needed"
] | [
6,
12
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"passage: TAGS\n#region-us \n# Dataset Card for \"arastance\"\n\nMore Information needed"
] |
f89f0029a9dd992ff5e43eadde0ac821406d9cbe | # Dataset Card for "TUNIZI"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/TUNIZI | [
"region:us"
] | 2022-10-14T21:28:41+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 188084, "num_examples": 2997}], "download_size": 127565, "dataset_size": 188084}} | 2022-10-14T21:28:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "TUNIZI"
More Information needed | [
"# Dataset Card for \"TUNIZI\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"TUNIZI\"\n\nMore Information needed"
] | [
6,
12
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"passage: TAGS\n#region-us \n# Dataset Card for \"TUNIZI\"\n\nMore Information needed"
] |
d25e904472d19ac8cb639bff14cd59f31a90991b | # Dataset Card for "AQAD"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/AQAD | [
"region:us"
] | 2022-10-14T21:35:33+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name"... | 2022-10-14T21:35:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "AQAD"
More Information needed | [
"# Dataset Card for \"AQAD\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"AQAD\"\n\nMore Information needed"
] | [
6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"AQAD\"\n\nMore Information needed"
] |
e9674e9345c66631d1cd1f89ca1f00d8ae119c4f | # Dataset Card for "MArSum"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/MArSum | [
"region:us"
] | 2022-10-14T21:42:30+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 3332778, "num_examples": 1981}], "download_size": 1743254, "dataset_size": 3332778}} | 2022-10-14T21:42:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MArSum"
More Information needed | [
"# Dataset Card for \"MArSum\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"MArSum\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"MArSum\"\n\nMore Information needed"
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d337fbd0337b6eda3282433826f037770ee94f69 | # Dataset Card for "arabicReviews-ds-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | omerist/arabicReviews-ds-mini | [
"region:us"
] | 2022-10-14T22:25:48+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "content_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 11505614.4, "num_examples": 3600}, {"name": "validation", "num_bytes": 1278401.6, "... | 2022-10-14T22:53:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "arabicReviews-ds-mini"
More Information needed | [
"# Dataset Card for \"arabicReviews-ds-mini\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"arabicReviews-ds-mini\"\n\nMore Information needed"
] | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"arabicReviews-ds-mini\"\n\nMore Information needed"
] |
8068419f931b965fce6f7ee08a2ad07d7397d039 |
# Dataset Card for Dicionário Português
It is a list of portuguese words with its inflections
How to use it:
```
from datasets import load_dataset
remote_dataset = load_dataset("VanessaSchenkel/pt-all-words")
remote_dataset
```
| VanessaSchenkel/pt-all-words | [
"task_categories:other",
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"sourc... | 2022-10-14T23:52:20+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": ["pt"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["other", "text-generation", "fill-mask"], "task_ids": ["language-modeling",... | 2022-10-15T00:59:29+00:00 | [] | [
"pt"
] | TAGS
#task_categories-other #task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Portu... |
# Dataset Card for Dicionário Português
It is a list of portuguese words with its inflections
How to use it:
| [
"# Dataset Card for Dicionário Português\nIt is a list of portuguese words with its inflections\nHow to use it:"
] | [
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d5c7c07268056a1b294d5815bdf012f92c327c1d | # Dataset Card for "arab-ds-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | omerist/arab-ds-mini | [
"region:us"
] | 2022-10-15T00:12:24+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "review", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 87011869.13722204, "num_examples": 27116}, {"name": "validation", "num_bytes": 9668342.001417983, "num_examples": 3013}], "d... | 2022-10-15T00:12:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "arab-ds-mini"
More Information needed | [
"# Dataset Card for \"arab-ds-mini\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"arab-ds-mini\"\n\nMore Information needed"
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6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"arab-ds-mini\"\n\nMore Information needed"
] |
2eefce06256e84521bdff3e3a0df0248bd28cb27 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: husnu/bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-1
* Datase... | autoevaluate/autoeval-eval-squad_v2-squad_v2-ea058a-1765461442 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-15T05:28:22+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "husnu/bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-1", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v... | 2022-10-15T05:31:40+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: husnu/bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-1
* Dataset: squad_v2
* Config: squad_v2
* Spl... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: husnu/bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-1\n* Dataset: squad_v2\n* Config: sq... | [
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2ccad53104e75b5ec10f8abc1ac16f4c5f7ea384 |
# Dataset Card for uneune_image1
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summar... | une/uneune_image1 | [
"license:cc-by-4.0",
"region:us"
] | 2022-10-15T07:41:22+00:00 | {"license": "cc-by-4.0"} | 2022-10-15T08:07:58+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
# Dataset Card for uneune_image1
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
今まで私が描いたイラスト100枚のデータセットです。
512×512にトリミングしてあります。
さっくりとstableDiffusionでの学習用に使えるデータセット... | [
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3c01cebd3e2d75dbf0987f1bc4c2b424923d733d | language: ["Urdu"] | Harsit/xnli2.0_train_urdu | [
"region:us"
] | 2022-10-15T08:26:47+00:00 | {} | 2022-10-15T08:30:11+00:00 | [] | [] | TAGS
#region-us
| language: ["Urdu"] | [] | [
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d563042b2a16501be4c7eeb7b71998db3a24adec | # Dataset Card for "turknews-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | omerist/turknews-mini | [
"region:us"
] | 2022-10-15T11:38:03+00:00 | {"dataset_info": {"features": [{"name": "review", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 9064933.18105424, "num_examples": 3534}, {"name": "validation", "num_bytes": 1008069.8189457601, "num_examples": 393}], "dow... | 2022-10-15T11:38:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "turknews-mini"
More Information needed | [
"# Dataset Card for \"turknews-mini\"\n\nMore Information needed"
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c15baed0307c4fcc7b375258a182ea49ef2d4e8b | # Dataset Card for "balloon"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nielsr/balloon | [
"region:us"
] | 2022-10-15T11:59:06+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 30808803.0, "num_examples": 61}, {"name": "validation", "num_bytes": 8076058.0, "num_examples": 13}], "download_size": 38814125, "dataset_size": 38884861.0}} | 2022-10-15T12:02:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "balloon"
More Information needed | [
"# Dataset Card for \"balloon\"\n\nMore Information needed"
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519c6f85f8dc6cbbf4878ebdb71dd39054c5357d | topia
Sport
topia
Documentaire
topia
Song Of Topia
topia | Sethyyann3572/glue-topia | [
"license:openrail",
"region:us"
] | 2022-10-15T12:31:25+00:00 | {"license": "openrail"} | 2022-10-15T12:32:42+00:00 | [] | [] | TAGS
#license-openrail #region-us
| topia
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Documentaire
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Song Of Topia
topia | [] | [
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a0bd554a17af724da30bd7b22b77022d9cb67991 | # Dataset Card for "celebrity_in_movie_demo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | deman539/celebrity_in_movie_demo | [
"region:us"
] | 2022-10-15T12:33:39+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "output"}}}}], "splits": [{"name": "train", "num_bytes": 2237547.0, "num_examples": 5}], "download_size": 1373409, "dataset_size": 2237547.0}} | 2022-10-15T13:50:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "celebrity_in_movie_demo"
More Information needed | [
"# Dataset Card for \"celebrity_in_movie_demo\"\n\nMore Information needed"
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fcd42e249fed48dbd1d3b9b969528ef9298d3464 |
# Allison Parrish's Gutenberg Poetry Corpus
This corpus was originally published under the CC0 license by [Allison Parrish](https://www.decontextualize.com/). Please visit Allison's fantastic [accompanying GitHub repository](https://github.com/aparrish/gutenberg-poetry-corpus) for usage inspiration as well as more in... | biglam/gutenberg-poetry-corpus | [
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"license:cc0-1.0",
"poetry",
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] | 2022-10-15T12:42:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "Gutenberg Poetry ... | 2022-10-18T09:53:52+00:00 | [] | [
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|
# Allison Parrish's Gutenberg Poetry Corpus
This corpus was originally published under the CC0 license by Allison Parrish. Please visit Allison's fantastic accompanying GitHub repository for usage inspiration as well as more information on how the data was mined, how to create your own version of the corpus, and exam... | [
"# Allison Parrish's Gutenberg Poetry Corpus\n\nThis corpus was originally published under the CC0 license by Allison Parrish. Please visit Allison's fantastic accompanying GitHub repository for usage inspiration as well as more information on how the data was mined, how to create your own version of the corpus, an... | [
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e078a9a8bb873844031a65f6a0cc198ddcc1c6a5 | ## Dataset Summary
Depth-of-Field(DoF) dataset is comprised of 1200 annotated images, binary annotated with(0) and without(1) bokeh effect, shallow or deep depth of field. It is a forked data set from the [Unsplash 25K](https://github.com/unsplash/datasets) data set.
## Dataset Description
- **Repository:** [https:/... | svnfs/depth-of-field | [
"task_categories:image-classification",
"task_categories:image-segmentation",
"annotations_creators:Stavros Niafas",
"license:apache-2.0",
"region:us"
] | 2022-10-15T12:57:29+00:00 | {"annotations_creators": ["Stavros Niafas"], "license": "apache-2.0", "task_categories": ["image-classification", "image-segmentation"], "sample_number": [1200], "class_number": [2], "image_size": ["(200,300,3)"], "source_dataset": ["unsplash"], "dataset_info": [{"config_name": "depth-of-field", "features": [{"name": "... | 2022-11-13T23:33:39+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-image-segmentation #annotations_creators-Stavros Niafas #license-apache-2.0 #region-us
| ## Dataset Summary
Depth-of-Field(DoF) dataset is comprised of 1200 annotated images, binary annotated with(0) and without(1) bokeh effect, shallow or deep depth of field. It is a forked data set from the Unsplash 25K data set.
## Dataset Description
- Repository: URL
- Paper:
Note that each DoF dataset has its ... | [
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"## Dataset Description\n\n- Repository: URL\n- Paper: \n\n\n\nNote that each Do... | [
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75321e3f022839c10b67ba9c08bb6efac8e17aca | # Dataset Card for "clothes_sample"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ghoumrassi/clothes_sample | [
"region:us"
] | 2022-10-15T14:50:15+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20078406.0, "num_examples": 990}], "download_size": 0, "dataset_size": 20078406.0}} | 2022-10-15T17:07:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "clothes_sample"
More Information needed | [
"# Dataset Card for \"clothes_sample\"\n\nMore Information needed"
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540de892a1be8640934c938b4177e1de14ca3559 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: gpt2-xl
* Dataset: inverse-scaling/NeQA
* Config: inverse-scaling--NeQA
* Split: train
To run... | autoevaluate/autoeval-eval-inverse-scaling__NeQA-inverse-scaling__NeQA-4df82b-1769161494 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-15T15:00:08+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["inverse-scaling/NeQA"], "eval_info": {"task": "text_zero_shot_classification", "model": "gpt2-xl", "metrics": [], "dataset_name": "inverse-scaling/NeQA", "dataset_config": "inverse-scaling--NeQA", "dataset_split": "train", "col_mapping": {"text"... | 2022-10-15T15:03:51+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: gpt2-xl
* Dataset: inverse-scaling/NeQA
* Config: inverse-scaling--NeQA
* Split: train
To run new evaluation jobs, visit Hugging ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: gpt2-xl\n* Dataset: inverse-scaling/NeQA\n* Config: inverse-scaling--NeQA\n* Split: train\n\nTo run new evaluation jobs,... | [
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efce2cf816cf1abad0c590e9e737e5289e1f9394 | # Dataset Card for "Iraqi_Dialect"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/Iraqi_Dialect | [
"region:us"
] | 2022-10-15T20:16:56+00:00 | {"dataset_info": {"features": [{"name": "No.", "dtype": "string"}, {"name": " Tex", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "False", "1": "IDK", "2": "N", "3": "True"}}}}], "splits": [{"name": "train", "num_bytes": 365478, "num_examples": 1672}], "download_size": 134999, "dataset_... | 2022-10-15T20:17:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Iraqi_Dialect"
More Information needed | [
"# Dataset Card for \"Iraqi_Dialect\"\n\nMore Information needed"
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ee7fc57264b8056f8341f8215e5307a680a78f0a | # Dataset Card for "Sudanese_Dialect_Tweet"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/Sudanese_Dialect_Tweet | [
"region:us"
] | 2022-10-15T20:39:50+00:00 | {"dataset_info": {"features": [{"name": "Tweet", "dtype": "string"}, {"name": "Annotator 1", "dtype": "string"}, {"name": "Annotator 2", "dtype": "string"}, {"name": "Annotator 3", "dtype": "string"}, {"name": "Mode", "dtype": "string"}, {"name": "Date", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34... | 2022-10-15T20:40:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Sudanese_Dialect_Tweet"
More Information needed | [
"# Dataset Card for \"Sudanese_Dialect_Tweet\"\n\nMore Information needed"
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8e2e32d0832c597e4ba2b1f252e59cec765a8c37 | # Dataset Card for "Sudanese_Dialect_Tweet_Tele"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/Sudanese_Dialect_Tweet_Tele | [
"region:us"
] | 2022-10-15T20:47:08+00:00 | {"dataset_info": {"features": [{"name": "Tweet ID", "dtype": "string"}, {"name": "Tweet Text", "dtype": "string"}, {"name": "Date", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "NEGATIVE", "1": "POSITIVE", "2": "OBJECTIVE"}}}}], "splits": [{"name": "train", "num_bytes": 872272, "num_ex... | 2022-10-15T20:47:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Sudanese_Dialect_Tweet_Tele"
More Information needed | [
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1bf5e6c1c2761f004eb867b20ad5d8a173ace8da | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-base-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: test
To ru... | autoevaluate/autoeval-eval-lener_br-lener_br-c4cf3f-1771961515 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-15T20:52:11+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lener_br"], "eval_info": {"task": "entity_extraction", "model": "Luciano/xlm-roberta-base-finetuned-lener-br", "metrics": [], "dataset_name": "lener_br", "dataset_config": "lener_br", "dataset_split": "test", "col_mapping": {"tokens": "tokens", ... | 2022-10-15T20:53:08+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-base-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: test
To run new evaluation jobs, visit Hugging... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: Luciano/xlm-roberta-base-finetuned-lener-br\n* Dataset: lener_br\n* Config: lener_br\n* Split: test\n\nTo run new evaluation jobs... | [
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8b2593845c16fa3deed61cb75900f4d472fc90f5 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-large-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: test
To r... | autoevaluate/autoeval-eval-lener_br-lener_br-c4cf3f-1771961516 | [
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"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-large-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: test
To run new evaluation jobs, visit Huggin... | [
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cd13b81d7a5f2a2097052eee7be3652d71c7e698 | # Dataset Card for "cheques_sample_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shivi/cheques_sample_data | [
"region:us"
] | 2022-10-15T21:25:47+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "ground_truth", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 7518544.0, "num_examples": 400}, {"name": "train", "num_bytes": 56481039.4, "num_examples": 2800}, {"name": "validation", "num_bytes": 15034990.0, "num_examples": 80... | 2022-11-05T21:31:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cheques_sample_data"
More Information needed | [
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c14be6279b7e817d010409aaad46df114f0af3f5 | # Dataset Card for "Satirical_Fake_News"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/Satirical_Fake_News | [
"region:us"
] | 2022-10-15T21:37:45+00:00 | {"dataset_info": {"features": [{"name": "Text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6131349, "num_examples": 3221}], "download_size": 3223892, "dataset_size": 6131349}} | 2022-10-15T21:37:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Satirical_Fake_News"
More Information needed | [
"# Dataset Card for \"Satirical_Fake_News\"\n\nMore Information needed"
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4be22018d039ee657dbeb7ff2e62fc9ae8eefdb6 | # Dataset Card for "NArabizi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/NArabizi | [
"region:us"
] | 2022-10-15T21:47:54+00:00 | {"dataset_info": {"features": [{"name": "ID", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "NEU", "1": "NEG", "2": "MIX", "3": "POS"}}}}], "splits": [{"name": "test", "num_bytes": 4034, "num_examples": 144}, {"name": "train", "num_bytes": 27839, "num_examples": 998}, {"name": "validati... | 2022-10-15T21:48:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "NArabizi"
More Information needed | [
"# Dataset Card for \"NArabizi\"\n\nMore Information needed"
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619c18ba46019c28099c82a430e773e98471b5db | # Dataset Card for "ArSAS"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/ArSAS | [
"region:us"
] | 2022-10-15T21:51:23+00:00 | {"dataset_info": {"features": [{"name": "#Tweet_ID", "dtype": "string"}, {"name": "Tweet_text", "dtype": "string"}, {"name": "Topic", "dtype": "string"}, {"name": "Sentiment_label_confidence", "dtype": "string"}, {"name": "Speech_act_label", "dtype": "string"}, {"name": "Speech_act_label_confidence", "dtype": "string"}... | 2022-10-15T21:51:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ArSAS"
More Information needed | [
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0281194d215c73170d30add87e5f16f9dec1d641 |
# Dataset Card for OLM September/October 2022 Common Crawl
Cleaned and deduplicated pretraining dataset, created with the OLM repo [here](https://github.com/huggingface/olm-datasets) from 16% of the September/October 2022 Common Crawl snapshot.
Note: `last_modified_timestamp` was parsed from whatever a website retur... | olm/olm-CC-MAIN-2022-40-sampling-ratio-0.15894621295 | [
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#annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-10M<n<100M #language-English #pretraining #language modelling #common crawl #web #region-us
|
# Dataset Card for OLM September/October 2022 Common Crawl
Cleaned and deduplicated pretraining dataset, created with the OLM repo here from 16% of the September/October 2022 Common Crawl snapshot.
Note: 'last_modified_timestamp' was parsed from whatever a website returned in it's 'Last-Modified' header; there are l... | [
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d370089b399492cc158548e9589fc3af76f4712a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-base-lener-br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: test... | autoevaluate/autoeval-eval-lener_br-lener_br-39d19a-1775961623 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-base-lener-br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: test
To run new evaluation jobs, visit ... | [
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2bf5a7e1402a6f32c2073a75c61d75f4c9cca2e7 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-1b1
* Dataset: inverse-scaling/NeQA
* Config: inverse-scaling--NeQA
* Split: ... | autoevaluate/autoeval-eval-inverse-scaling__NeQA-inverse-scaling__NeQA-e4c053-1775661622 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-1b1
* Dataset: inverse-scaling/NeQA
* Config: inverse-scaling--NeQA
* Split: train
To run new evaluation jobs, v... | [
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1261b0ab43c1f488e329bb4b8e0fae03ece768c4 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-base-lener-br-finetuned-lener-br
* Dataset: lener_br
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-base-lener-br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: validation
To run new evaluation jobs, ... | [
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ac7d6e4063103d3c15fbef1983c89e4760be6f4f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-base-lener_br
* Dataset: lener_br
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To run new ... | autoevaluate/autoeval-eval-lener_br-lener_br-b36dee-1776161640 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-base-lener_br
* Dataset: lener_br
* Config: lener_br
* Split: validation
To run new evaluation jobs, visit Hugging Face'... | [
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7fac43a456593157221805407acd8171014c9259 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-large-lener_br
* Dataset: lener_br
* Config: lener_br
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To run new... | autoevaluate/autoeval-eval-lener_br-lener_br-b36dee-1776161641 | [
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"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-large-lener_br
* Dataset: lener_br
* Config: lener_br
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
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8a6f9b98bdf89c8fef01ee76b1fab91d5ce74981 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-base-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
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... | autoevaluate/autoeval-eval-lener_br-lener_br-b36dee-1776161642 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-base-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
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To run new evaluation jobs, visit H... | [
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799c1d1c06895d834d846f0c09bbff283499a0ca | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-large-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: validation... | autoevaluate/autoeval-eval-lener_br-lener_br-b36dee-1776161643 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-large-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: validation
To run new evaluation jobs, visit ... | [
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1f70cbec44ea6b75058fdad68ff55b8de9d4a522 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-large-lener_br
* Dataset: lener_br
* Config: lener_br
* Split: train
To run new eval... | autoevaluate/autoeval-eval-lener_br-lener_br-c186f5-1776861660 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T11:48:37+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lener_br"], "eval_info": {"task": "entity_extraction", "model": "Luciano/bertimbau-large-lener_br", "metrics": [], "dataset_name": "lener_br", "dataset_config": "lener_br", "dataset_split": "train", "col_mapping": {"tokens": "tokens", "tags": "n... | 2022-10-16T11:52:21+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-large-lener_br
* Dataset: lener_br
* Config: lener_br
* Split: train
To run new evaluation jobs, visit Hugging Face's au... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: Luciano/bertimbau-large-lener_br\n* Dataset: lener_br\n* Config: lener_br\n* Split: train\n\nTo run new evaluation jobs, visit Hu... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: Luciano/bertimbau-large-lener_br\n* Dataset: lener_br\n* Config: lener_br\n* Spli... | [
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230cdaa657e88026dab1f182c34af5653d8a55ef | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-base-lener_br
* Dataset: lener_br
* Config: lener_br
* Split: train
To run new evalu... | autoevaluate/autoeval-eval-lener_br-lener_br-c186f5-1776861659 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T11:48:37+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lener_br"], "eval_info": {"task": "entity_extraction", "model": "Luciano/bertimbau-base-lener_br", "metrics": [], "dataset_name": "lener_br", "dataset_config": "lener_br", "dataset_split": "train", "col_mapping": {"tokens": "tokens", "tags": "ne... | 2022-10-16T11:51:17+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-base-lener_br
* Dataset: lener_br
* Config: lener_br
* Split: train
To run new evaluation jobs, visit Hugging Face's aut... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: Luciano/bertimbau-base-lener_br\n* Dataset: lener_br\n* Config: lener_br\n* Split: train\n\nTo run new evaluation jobs, visit Hug... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: Luciano/bertimbau-base-lener_br\n* Dataset: lener_br\n* Config: lener_br\n* Split... | [
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7f85845a7030e1397ee63b931b90de06a6ee7847 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-base-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: train
To r... | autoevaluate/autoeval-eval-lener_br-lener_br-c186f5-1776861661 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T11:48:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lener_br"], "eval_info": {"task": "entity_extraction", "model": "Luciano/xlm-roberta-base-finetuned-lener-br", "metrics": [], "dataset_name": "lener_br", "dataset_config": "lener_br", "dataset_split": "train", "col_mapping": {"tokens": "tokens",... | 2022-10-16T11:51:38+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-base-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: train
To run new evaluation jobs, visit Huggin... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: Luciano/xlm-roberta-base-finetuned-lener-br\n* Dataset: lener_br\n* Config: lener_br\n* Split: train\n\nTo run new evaluation job... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: Luciano/xlm-roberta-base-finetuned-lener-br\n* Dataset: lener_br\n* Config: lener... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: Luciano/xlm-roberta-base-finetuned-lener-br\n* Dataset: lener_br\n* Config: le... |
4ac218a6129db895ec2ed0e960154742245b0d61 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-large-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: train
To ... | autoevaluate/autoeval-eval-lener_br-lener_br-c186f5-1776861662 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T11:48:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lener_br"], "eval_info": {"task": "entity_extraction", "model": "Luciano/xlm-roberta-large-finetuned-lener-br", "metrics": [], "dataset_name": "lener_br", "dataset_config": "lener_br", "dataset_split": "train", "col_mapping": {"tokens": "tokens"... | 2022-10-16T11:52:40+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-large-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: train
To run new evaluation jobs, visit Huggi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: Luciano/xlm-roberta-large-finetuned-lener-br\n* Dataset: lener_br\n* Config: lener_br\n* Split: train\n\nTo run new evaluation jo... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: Luciano/xlm-roberta-large-finetuned-lener-br\n* Dataset: lener_br\n* Config: lene... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: Luciano/xlm-roberta-large-finetuned-lener-br\n* Dataset: lener_br\n* Config: l... |
2ad1b139cd7f1240d4046d69387149f0d2f52938 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: test
To r... | autoevaluate/autoeval-eval-lener_br-lener_br-280a5d-1776961678 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T12:18:37+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lener_br"], "eval_info": {"task": "entity_extraction", "model": "pierreguillou/ner-bert-base-cased-pt-lenerbr", "metrics": [], "dataset_name": "lener_br", "dataset_config": "lener_br", "dataset_split": "test", "col_mapping": {"tokens": "tokens",... | 2022-10-16T12:19:26+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: test
To run new evaluation jobs, visit Huggin... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: lener_br\n* Split: test\n\nTo run new evaluation job... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: lene... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: l... |
cffeb21da0785a570afcf98be56916319f867852 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: test
To ... | autoevaluate/autoeval-eval-lener_br-lener_br-280a5d-1776961679 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T12:18:44+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lener_br"], "eval_info": {"task": "entity_extraction", "model": "pierreguillou/ner-bert-large-cased-pt-lenerbr", "metrics": [], "dataset_name": "lener_br", "dataset_config": "lener_br", "dataset_split": "test", "col_mapping": {"tokens": "tokens"... | 2022-10-16T12:19:52+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: test
To run new evaluation jobs, visit Huggi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: lener_br\n* Split: test\n\nTo run new evaluation jo... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: len... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: ... |
530cf9d0b4b5d10007e8722680b6175b5d11d4bb | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: validation... | autoevaluate/autoeval-eval-lener_br-lener_br-2a71c5-1777061680 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T12:18:50+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lener_br"], "eval_info": {"task": "entity_extraction", "model": "pierreguillou/ner-bert-base-cased-pt-lenerbr", "metrics": [], "dataset_name": "lener_br", "dataset_config": "lener_br", "dataset_split": "validation", "col_mapping": {"tokens": "to... | 2022-10-16T12:19:34+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: validation
To run new evaluation jobs, visit ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: lener_br\n* Split: validation\n\nTo run new evaluati... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: lene... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: l... |
0679fb25b4bb759691c22388d45706c8f85ba4b2 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: validatio... | autoevaluate/autoeval-eval-lener_br-lener_br-2a71c5-1777061681 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T12:18:58+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lener_br"], "eval_info": {"task": "entity_extraction", "model": "pierreguillou/ner-bert-large-cased-pt-lenerbr", "metrics": [], "dataset_name": "lener_br", "dataset_config": "lener_br", "dataset_split": "validation", "col_mapping": {"tokens": "t... | 2022-10-16T12:20:02+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: validation
To run new evaluation jobs, visit... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: lener_br\n* Split: validation\n\nTo run new evaluat... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: len... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: ... |
449dcb775af777bad2fe5cb43070e97c76f65e05 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: train
To ... | autoevaluate/autoeval-eval-lener_br-lener_br-851daf-1777161682 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T12:19:04+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lener_br"], "eval_info": {"task": "entity_extraction", "model": "pierreguillou/ner-bert-base-cased-pt-lenerbr", "metrics": [], "dataset_name": "lener_br", "dataset_config": "lener_br", "dataset_split": "train", "col_mapping": {"tokens": "tokens"... | 2022-10-16T12:21:40+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: train
To run new evaluation jobs, visit Huggi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: lener_br\n* Split: train\n\nTo run new evaluation jo... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: lene... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-base-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: l... |
13f46098ec2521c788887fd931319674601c0f47 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: train
To... | autoevaluate/autoeval-eval-lener_br-lener_br-851daf-1777161683 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T12:19:11+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lener_br"], "eval_info": {"task": "entity_extraction", "model": "pierreguillou/ner-bert-large-cased-pt-lenerbr", "metrics": [], "dataset_name": "lener_br", "dataset_config": "lener_br", "dataset_split": "train", "col_mapping": {"tokens": "tokens... | 2022-10-16T12:22:52+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: train
To run new evaluation jobs, visit Hugg... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: lener_br\n* Split: train\n\nTo run new evaluation j... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: len... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr\n* Dataset: lener_br\n* Config: ... |
84e4f21a1e84ae47897a32f8177d4d096c2630f1 | # Dataset Card for "punctuation-nilc-t5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tiagoblima/punctuation-nilc-t5 | [
"region:us"
] | 2022-10-16T16:02:13+00:00 | {"dataset_info": {"features": [{"name": "text_id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "level", "dtype": "string"}, {"name": "text_input", "dtype": "string"}, {"name": "labels", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 1209863.2760485518, "num_examples": 2604}, {"name":... | 2022-11-13T18:07:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "punctuation-nilc-t5"
More Information needed | [
"# Dataset Card for \"punctuation-nilc-t5\"\n\nMore Information needed"
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0f9daa96611fe978caa9d14ca1b9d07f99380ccc |
## ESC benchmark diagnostic dataset
## Dataset Summary
As a part of ESC benchmark, we provide a small, 8h diagnostic dataset of in-domain validation data with newly annotated transcriptions. The audio data is sampled from each of the ESC validation sets, giving a range of different domains and speaking styles. The t... | esc-bench/esc-diagnostic-backup | [
"task_categories:automatic-speech-recognition",
"annotations_creators:expert-generated",
"annotations_creators:crowdsourced",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
... | 2022-10-16T16:31:24+00:00 | {"annotations_creators": ["expert-generated", "crowdsourced", "machine-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": ["cc-by-4.0", "apache-2.0", "cc0-1.0", "cc-by-nc-3.0", "other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M", "1M<n<10M"],... | 2022-10-17T14:05:05+00:00 | [] | [
"en"
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#task_categories-automatic-speech-recognition #annotations_creators-expert-generated #annotations_creators-crowdsourced #annotations_creators-machine-generated #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-1M<n<10M #sour... |
## ESC benchmark diagnostic dataset
## Dataset Summary
As a part of ESC benchmark, we provide a small, 8h diagnostic dataset of in-domain validation data with newly annotated transcriptions. The audio data is sampled from each of the ESC validation sets, giving a range of different domains and speaking styles. The t... | [
"## ESC benchmark diagnostic dataset",
"## Dataset Summary\n\nAs a part of ESC benchmark, we provide a small, 8h diagnostic dataset of in-domain validation data with newly annotated transcriptions. The audio data is sampled from each of the ESC validation sets, giving a range of different domains and speaking sty... | [
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d7309301bd51eac707cc1e80d7bf4209c2f71365 | # Dataset Card for "punctuation-nilc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tiagoblima/punctuation-nilc-bert | [
"language:pt",
"region:us"
] | 2022-10-16T17:02:29+00:00 | {"language": "pt", "dataset_info": {"features": [{"name": "text_id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "level", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 1177684.2701598366, "num_exampl... | 2023-07-19T16:03:29+00:00 | [] | [
"pt"
] | TAGS
#language-Portuguese #region-us
| # Dataset Card for "punctuation-nilc"
More Information needed | [
"# Dataset Card for \"punctuation-nilc\"\n\nMore Information needed"
] | [
"TAGS\n#language-Portuguese #region-us \n",
"# Dataset Card for \"punctuation-nilc\"\n\nMore Information needed"
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"passage: TAGS\n#language-Portuguese #region-us \n# Dataset Card for \"punctuation-nilc\"\n\nMore Information needed"
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899b75095a573984a124727dcce8de7e30ad67dc |
# laion2b_multi_korean_subset_with_image
## Dataset Description
- **Download Size** 342 GB
img2dataset을 통해 다운로드에 성공한 [Bingsu/laion2B-multi-korean-subset](https://huggingface.co/datasets/Bingsu/laion2B-multi-korean-subset) 이미지를 정리한 데이터셋입니다.
이미지는 9,800,137장입니다.
이미지는 짧은 쪽 길이가 256이 되도록 리사이즈 되었으며, 품질 100인 webp파일로 다운로드 ... | Bingsu/laion2b_multi_korean_subset_with_image | [
"task_categories:feature-extraction",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:extended|laion/laion2B-multi",
"language:ko",
"license:cc-by-4.0",
"region:us"
] | 2022-10-17T03:32:45+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ko"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["extended|laion/laion2B-multi"], "task_categories": ["feature-extraction"], "task_ids": [], "pretty_nam... | 2022-11-03T05:10:40+00:00 | [] | [
"ko"
] | TAGS
#task_categories-feature-extraction #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-extended|laion/laion2B-multi #language-Korean #license-cc-by-4.0 #region-us
|
# laion2b_multi_korean_subset_with_image
## Dataset Description
- Download Size 342 GB
img2dataset을 통해 다운로드에 성공한 Bingsu/laion2B-multi-korean-subset 이미지를 정리한 데이터셋입니다.
이미지는 9,800,137장입니다.
이미지는 짧은 쪽 길이가 256이 되도록 리사이즈 되었으며, 품질 100인 webp파일로 다운로드 되었습니다.
## Usage
### 1. datasets
### 2. webdataset
이 데이터셋은 webdataset... | [
"# laion2b_multi_korean_subset_with_image",
"## Dataset Description\n- Download Size 342 GB\n\nimg2dataset을 통해 다운로드에 성공한 Bingsu/laion2B-multi-korean-subset 이미지를 정리한 데이터셋입니다.\n\n이미지는 9,800,137장입니다.\n\n이미지는 짧은 쪽 길이가 256이 되도록 리사이즈 되었으며, 품질 100인 webp파일로 다운로드 되었습니다.",
"## Usage",
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"### 2. webda... | [
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86820e0d48153d64153a2f70ace60c1090697f07 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: csarron/bert-base-uncased-squad-v1
* Dataset: squad
* Config: plain_text
* Split: validation
To run new ... | autoevaluate/autoeval-eval-squad-plain_text-f76498-1781661804 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-17T04:17:50+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "csarron/bert-base-uncased-squad-v1", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "con... | 2022-10-17T04:20:41+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: csarron/bert-base-uncased-squad-v1
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face'... | [
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1a2e776f38e29c4e70e3ce299b76b1933b463e60 | # Dataset Card for "Watts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | eliwill/Watts | [
"region:us"
] | 2022-10-17T04:50:45+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5040818, "num_examples": 17390}, {"name": "validation", "num_bytes": 99856, "num_examples": 399}], "download_size": 2976066, "dataset_size": 5140674}} | 2022-10-17T04:50:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Watts"
More Information needed | [
"# Dataset Card for \"Watts\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"Watts\"\n\nMore Information needed"
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e2303edabe49ef87791c19764cb0dbdb39177b1d | test | acurious/testdreambooth | [
"region:us"
] | 2022-10-17T06:59:16+00:00 | {} | 2022-10-17T07:05:53+00:00 | [] | [] | TAGS
#region-us
| test | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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09e8932bb30d97e57848c117429e8f944acd3dfd | # Dataset Card for "lsf_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vvincentt/lsf_dataset | [
"region:us"
] | 2022-10-17T09:04:19+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "text", "sequence": "string"}]}], "splits": [{"n... | 2022-10-17T09:41:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lsf_dataset"
More Information needed | [
"# Dataset Card for \"lsf_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"lsf_dataset\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"lsf_dataset\"\n\nMore Information needed"
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81eca6cc0ab38a851d62f8fe8632acbd6c12c531 |
# Dataset Card for SloIE
### Dataset Summary
SloIE is a manually labelled dataset of Slovene idiomatic expressions. It contains 29399 sentences with 75 different expressions that can occur with either a literal or an idiomatic meaning, with appropriate manual annotations for each token. The idiomatic expressions wer... | cjvt/sloie | [
"task_categories:text-classification",
"task_categories:token-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"language:sl",
"license:cc-by-nc-sa-4.0",
"idiom-detection",
... | 2022-10-17T11:55:41+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["sl"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K", "100K<n<1M"], "source_datasets": [], "task_categories": ["text-classification", "token-classification"], "task_ids": []... | 2022-10-21T06:36:18+00:00 | [] | [
"sl"
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#task_categories-text-classification #task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #size_categories-100K<n<1M #language-Slovenian #license-cc-by-nc-sa-4.0 #idiom-detection #multiword-expression-detectio... |
# Dataset Card for SloIE
### Dataset Summary
SloIE is a manually labelled dataset of Slovene idiomatic expressions. It contains 29399 sentences with 75 different expressions that can occur with either a literal or an idiomatic meaning, with appropriate manual annotations for each token. The idiomatic expressions wer... | [
"# Dataset Card for SloIE",
"### Dataset Summary\n\nSloIE is a manually labelled dataset of Slovene idiomatic expressions. It contains 29399 sentences with 75 different expressions that can occur with either a literal or an idiomatic meaning, with appropriate manual annotations for each token. The idiomatic expre... | [
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42237ba9cdc8ce88397b1874e73925abba4f338a | # Sample
| sfujiwara/sample | [
"region:us"
] | 2022-10-17T12:20:15+00:00 | {} | 2022-10-18T20:27:18+00:00 | [] | [] | TAGS
#region-us
| # Sample
| [
"# Sample"
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"TAGS\n#region-us \n",
"# Sample"
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"passage: TAGS\n#region-us \n# Sample"
] |
850a76c5c794ae87d5e4a15665b3de5bd2e61d95 | #@markdown Add here the URLs to the images of the concept you are adding. 3-5 should be fine
urls = [
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_3228-01_512.png",
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_3228-01_512_02.png",
"https://huggingface.co/d... | Nyckelpiga/images | [
"license:other",
"region:us"
] | 2022-10-17T13:49:35+00:00 | {"license": "other"} | 2022-10-17T16:19:59+00:00 | [] | [] | TAGS
#license-other #region-us
| #@markdown Add here the URLs to the images of the concept you are adding. 3-5 should be fine
urls = [
"URL
"URL
"URL
"URL
"URL
"URL
"URL
"URL
"URL
"URL
"URL
"URL
] | [] | [
"TAGS\n#license-other #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-other #region-us \n"
] |
d6c91cf96df74ce879bb4e8837f4a59a8e7341f0 | # Dataset Card for "error_correction_model_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shahidul034/error_correction_model_dataset_raw | [
"region:us"
] | 2022-10-17T13:52:04+00:00 | {"dataset_info": {"features": [{"name": "content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 706774777.602151, "num_examples": 4141927}], "download_size": 301173004, "dataset_size": 706774777.602151}} | 2022-10-17T13:54:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "error_correction_model_dataset"
More Information needed | [
"# Dataset Card for \"error_correction_model_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"error_correction_model_dataset\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"error_correction_model_dataset\"\n\nMore Information needed"
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69b23927e6d5f4d09321dad6df33479be3ddee12 |
A dataset that has NBA data as well as social media data including twitter and wikipedia
| noahgift/social-power-nba | [
"license:cc-by-nc-nd-4.0",
"region:us"
] | 2022-10-17T15:03:02+00:00 | {"license": "cc-by-nc-nd-4.0"} | 2022-10-17T15:07:45+00:00 | [] | [] | TAGS
#license-cc-by-nc-nd-4.0 #region-us
|
A dataset that has NBA data as well as social media data including twitter and wikipedia
| [] | [
"TAGS\n#license-cc-by-nc-nd-4.0 #region-us \n"
] | [
19
] | [
"passage: TAGS\n#license-cc-by-nc-nd-4.0 #region-us \n"
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ac8e5493caf159f4f717379cc7f434ad3c52e2f6 | Source: [https://github.com/google-research/mnist-c](https://github.com/google-research/mnist-c)
# MNIST-C
This repository contains the source code used to create the MNIST-C dataset, a
corrupted MNIST benchmark for testing out-of-distribution robustness of computer
vision models.
Please see our full paper [https://... | barkermrl/mnist-c | [
"license:apache-2.0",
"arxiv:1906.02337",
"region:us"
] | 2022-10-17T15:26:58+00:00 | {"license": "apache-2.0"} | 2022-10-17T16:28:57+00:00 | [
"1906.02337"
] | [] | TAGS
#license-apache-2.0 #arxiv-1906.02337 #region-us
| Source: URL
# MNIST-C
This repository contains the source code used to create the MNIST-C dataset, a
corrupted MNIST benchmark for testing out-of-distribution robustness of computer
vision models.
Please see our full paper URL for more details.
## Dataset
The static dataset is available for download at URL | [
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ddf8d4553b13ae4aae9c5218e53851e38d721096 | # AutoTrain Dataset for project: ethos-sentiments
## Dataset Description
This dataset has been automatically processed by AutoTrain for project ethos-sentiments.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
`... | pachi107/autotrain-data-ethos-sentiments | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2022-10-17T15:28:10+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2022-10-17T15:28:44+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: ethos-sentiments
===============================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project ethos-sentiments.
### Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
---... | [
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a4ed436fa9208153c41e658f5666b9be05e00456 | MedNorm2SnomedCT2UMLS
Paper on Mednorm and harmonisation: https://aclanthology.org/W19-3204.pdf
The medical concept normalisation task aims to map textual descriptions to standard terminologies such as SNOMED-CT or MedDRA.
Existing publicly available datasets annotated using different terminologies cannot be simply ... | awacke1/MedNorm2SnomedCT2UMLS | [
"license:mit",
"region:us"
] | 2022-10-17T17:17:16+00:00 | {"license": "mit"} | 2023-01-05T14:05:26+00:00 | [] | [] | TAGS
#license-mit #region-us
| MedNorm2SnomedCT2UMLS
Paper on Mednorm and harmonisation: URL
The medical concept normalisation task aims to map textual descriptions to standard terminologies such as SNOMED-CT or MedDRA.
Existing publicly available datasets annotated using different terminologies cannot be simply merged and utilised, and therefore... | [] | [
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b8cf42f0d1cf99a04313dd8d7d77bb0fb1d42a19 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: phpthinh/ex1
* Config: all
* Split: test
To run new evaluati... | autoevaluate/autoeval-eval-phpthinh__ex1-all-65db7c-1796062129 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-18T05:38:53+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["phpthinh/ex1"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-560m", "metrics": [], "dataset_name": "phpthinh/ex1", "dataset_config": "all", "dataset_split": "test", "col_mapping": {"text": "text", "classes": ... | 2022-10-18T06:27:01+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: phpthinh/ex1
* Config: all
* Split: test
To run new evaluation jobs, visit Hugging Face's automa... | [
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7969c200d7b0eec370bce6870897ef06d678248e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: phpthinh/ex2
* Config: all
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To run new evaluati... | autoevaluate/autoeval-eval-phpthinh__ex2-all-93c06b-1796162130 | [
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: phpthinh/ex2
* Config: all
* Split: test
To run new evaluation jobs, visit Hugging Face's automa... | [
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40e52ccedb5de97ee785848924f08544f3ca0969 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: Emanuel/bertweet-emotion-base
* Dataset: emotion
* Config: default
* Split: test
To run new... | autoevaluate/autoeval-eval-emotion-default-1b690b-1797662163 | [
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: Emanuel/bertweet-emotion-base
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face... | [
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645a6fcac4e0a587b428e545ccd8d68d71d847b3 | pip install diffusers transformers nvidia-ml-py3 ftfy pytorch pillow
| Makokokoko/aaaaa | [
"region:us"
] | 2022-10-18T06:37:03+00:00 | {} | 2022-10-18T06:38:02+00:00 | [] | [] | TAGS
#region-us
| pip install diffusers transformers nvidia-ml-py3 ftfy pytorch pillow
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eee375a1b72660d3bd2c5b468d18615279f6d992 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: phpthinh/ex3
* Config: all
* Split: test
To run new evaluati... | autoevaluate/autoeval-eval-phpthinh__ex3-all-630c04-1799362235 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-18T07:18:52+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["phpthinh/ex3"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-560m", "metrics": [], "dataset_name": "phpthinh/ex3", "dataset_config": "all", "dataset_split": "test", "col_mapping": {"text": "text", "classes": ... | 2022-10-18T08:07:43+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: phpthinh/ex3
* Config: all
* Split: test
To run new evaluation jobs, visit Hugging Face's automa... | [
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b45637b6ba33e8c7709e20385ac1c8dbc0cdec1f | # Dataset Card for Pokémon type captions
Contains official artwork and type-specific caption for Pokémon #1-898 (Bulbasaur-Calyrex).
Each Pokémon is represented once by the default form from [PokéAPI](https://pokeapi.co/)
Each row contains `image` and `text` keys:
- `image` is a 475x475 PIL jpg of the Pokémon's offi... | GabeHD/pokemon-type-captions | [
"region:us"
] | 2022-10-18T07:38:18+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19372532.0, "num_examples": 898}], "download_size": 0, "dataset_size": 19372532.0}} | 2022-10-23T03:40:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for Pokémon type captions
Contains official artwork and type-specific caption for Pokémon #1-898 (Bulbasaur-Calyrex).
Each Pokémon is represented once by the default form from PokéAPI
Each row contains 'image' and 'text' keys:
- 'image' is a 475x475 PIL jpg of the Pokémon's official artwork.
- 'text'... | [
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a9ce511fb3bfa4898bd7dcebe6f23e08211243a8 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: 0ys/mt5-small-finetuned-amazon-en-es
* Dataset: conceptual_captions
* Config: unlabeled
* Split: train
To run... | autoevaluate/autoeval-eval-conceptual_captions-unlabeled-ccbde0-1800162251 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-18T08:04:43+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conceptual_captions"], "eval_info": {"task": "summarization", "model": "0ys/mt5-small-finetuned-amazon-en-es", "metrics": ["accuracy"], "dataset_name": "conceptual_captions", "dataset_config": "unlabeled", "dataset_split": "train", "col_mapping"... | 2022-10-18T22:14:21+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: 0ys/mt5-small-finetuned-amazon-en-es
* Dataset: conceptual_captions
* Config: unlabeled
* Split: train
To run new evaluation jobs, visit Hugging ... | [
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3d0d0a2113f3a35a0163f68d96c6307d641f1a5a | # Dataset Card for TED descriptions
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gigant/ted_descriptions | [
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9d7a3960c7b4b1f6efb1e97bd4d469a217b46930 |
# Dataset Card for "German LER"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instance... | elenanereiss/german-ler | [
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"ner, named entity recognition... | 2022-10-18T10:10:32+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["de"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "paper... | 2022-10-26T07:32:17+00:00 | [
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=============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Ann... | [
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e11292434fb9e789f80041723bdf2e61cfdc7e0b |
SRL annotated corpora for extracting experiencer and cause of emotions | Maxstan/srl_for_emotions_russian | [
"license:cc-by-nc-4.0",
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1e7a79e5c2bcd57dc6324cb159732771229bc89a |
The data contains comments from political and nonpolitical Russian-speaking YouTube channels.
Date interval: 1 year between April 30, 2020, and April 30, 2021 | Maxstan/russian_youtube_comments_political_and_nonpolitical | [
"license:cc-by-nc-4.0",
"region:us"
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The data contains comments from political and nonpolitical Russian-speaking YouTube channels.
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3cc76d8c9536209e9772338d9567b8ae2a767d79 | ---
annotations_creators:
- crowdsourced
language:
- ja
language_creators:
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license:
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multilinguality:
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paperswithcode_id: squad
pretty_name: squad-ja
size_categories:
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source_datasets:
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tags: []
task_categories:
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task_ids:
- open-domain-... | Kentaline/hf-dataset-study | [
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#license-other #region-us
| ---
annotations_creators:
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language:
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language_creators:
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license:
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multilinguality:
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paperswithcode_id: squad
pretty_name: squad-ja
size_categories:
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tags: []
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bd9407e7063dce3c2df673ed6c088cadd17fb268 | # event classifcaiton dataset | fanxiaonan/event_classification | [
"license:mit",
"region:us"
] | 2022-10-18T13:05:44+00:00 | {"license": "mit"} | 2022-10-18T13:10:19+00:00 | [] | [] | TAGS
#license-mit #region-us
| # event classifcaiton dataset | [
"# event classifcaiton dataset"
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"TAGS\n#license-mit #region-us \n",
"# event classifcaiton dataset"
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"passage: TAGS\n#license-mit #region-us \n# event classifcaiton dataset"
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23ca06a50ba8b4860567c1112ba142820d223743 | # SimKoR
We provide korean sentence text similarity pair dataset using sentiment analysis corpus from [bab2min/corpus](https://github.com/bab2min/corpus).
This data crawling korean review from naver shopping website. we reconstruct subset of dataset to make our dataset.
## Dataset description
The original data... | DILAB-HYU/SimKoR | [
"license:cc-by-4.0",
"region:us"
] | 2022-10-18T13:51:49+00:00 | {"license": "cc-by-4.0"} | 2022-10-18T16:27:05+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| SimKoR
======
We provide korean sentence text similarity pair dataset using sentiment analysis corpus from bab2min/corpus.
This data crawling korean review from naver shopping website. we reconstruct subset of dataset to make our dataset.
Dataset description
-------------------
The original dataset description... | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
] |
e44a22761da9acdd42b4181f33aac27a95436824 | # Dataset Card for "stackoverflow-ner"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mrm8488/stackoverflow-ner | [
"region:us"
] | 2022-10-18T13:55:02+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 680079, "num_examples": 3108}, {"name": "train", "num_bytes": 2034117, "num_examples": 9263}, {"name": "validation", "num_bytes": 640935, "num_examples": 2936}],... | 2022-10-18T13:55:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "stackoverflow-ner"
More Information needed | [
"# Dataset Card for \"stackoverflow-ner\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"stackoverflow-ner\"\n\nMore Information needed"
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6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"stackoverflow-ner\"\n\nMore Information needed"
] |
6ae613ba744ee56f645aee9c577d04f7e3d48b30 | # M2D2: A Massively Multi-domain Language Modeling Dataset
*From the paper "[M2D2: A Massively Multi-domain Language Modeling Dataset](https://arxiv.org/abs/2210.07370)", (Reid et al., EMNLP 2022)*
Load the dataset as follows:
```python
import datasets
dataset = datasets.load_dataset("machelreid/m2d2", "cs.CL") # re... | machelreid/m2d2 | [
"license:cc-by-nc-4.0",
"arxiv:2210.07370",
"region:us"
] | 2022-10-18T14:14:07+00:00 | {"license": "cc-by-nc-4.0"} | 2022-10-25T11:57:24+00:00 | [
"2210.07370"
] | [] | TAGS
#license-cc-by-nc-4.0 #arxiv-2210.07370 #region-us
| # M2D2: A Massively Multi-domain Language Modeling Dataset
*From the paper "M2D2: A Massively Multi-domain Language Modeling Dataset", (Reid et al., EMNLP 2022)*
Load the dataset as follows:
## Domains
- Culture_and_the_arts
- Culture_and_the_arts__Culture_and_Humanities
- Culture_and_the_arts__Games_and_Toys
- ... | [
"# M2D2: A Massively Multi-domain Language Modeling Dataset\n\n*From the paper \"M2D2: A Massively Multi-domain Language Modeling Dataset\", (Reid et al., EMNLP 2022)*\n\nLoad the dataset as follows:",
"## Domains\n - Culture_and_the_arts\n - Culture_and_the_arts__Culture_and_Humanities\n - Culture_and_the_arts__... | [
"TAGS\n#license-cc-by-nc-4.0 #arxiv-2210.07370 #region-us \n",
"# M2D2: A Massively Multi-domain Language Modeling Dataset\n\n*From the paper \"M2D2: A Massively Multi-domain Language Modeling Dataset\", (Reid et al., EMNLP 2022)*\n\nLoad the dataset as follows:",
"## Domains\n - Culture_and_the_arts\n - Cultur... | [
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] |
5bc518f5c3350f2c92f405e8223c982c8b9dc9f0 | This dataset is designed to be used in testing multimodal text/image models. It's derived from cm4-10k dataset.
The current splits are: `['100.unique', '100.repeat', '300.unique', '300.repeat', '1k.unique', '1k.repeat', '10k.unique', '10k.repeat']`.
The `unique` ones ensure uniqueness across text entries.
The `repea... | stas/cm4-synthetic-testing | [
"license:bigscience-openrail-m",
"region:us"
] | 2022-10-18T15:08:16+00:00 | {"license": "bigscience-openrail-m"} | 2022-10-18T15:20:31+00:00 | [] | [] | TAGS
#license-bigscience-openrail-m #region-us
| This dataset is designed to be used in testing multimodal text/image models. It's derived from cm4-10k dataset.
The current splits are: '['URL', 'URL', 'URL', 'URL', 'URL', 'URL', 'URL', 'URL']'.
The 'unique' ones ensure uniqueness across text entries.
The 'repeat' ones are repeating the same 10 unique records: - th... | [] | [
"TAGS\n#license-bigscience-openrail-m #region-us \n"
] | [
17
] | [
"passage: TAGS\n#license-bigscience-openrail-m #region-us \n"
] |
3b1395c1f2fa1e3432227828e5e917aefe3bade8 | This dataset is designed to be used in testing. It's derived from general-pmd/localized_narratives__ADE20k dataset
The current splits are: `['100.unique', '100.repeat', '300.unique', '300.repeat', '1k.unique', '1k.repeat', '10k.unique', '10k.repeat']`.
The `unique` ones ensure uniqueness across `text` entries.
The ... | stas/general-pmd-synthetic-testing | [
"license:bigscience-openrail-m",
"region:us"
] | 2022-10-18T15:08:31+00:00 | {"license": "bigscience-openrail-m"} | 2022-10-18T15:21:21+00:00 | [] | [] | TAGS
#license-bigscience-openrail-m #region-us
| This dataset is designed to be used in testing. It's derived from general-pmd/localized_narratives__ADE20k dataset
The current splits are: '['URL', 'URL', 'URL', 'URL', 'URL', 'URL', 'URL', 'URL']'.
The 'unique' ones ensure uniqueness across 'text' entries.
The 'repeat' ones are repeating the same 10 unique records... | [] | [
"TAGS\n#license-bigscience-openrail-m #region-us \n"
] | [
17
] | [
"passage: TAGS\n#license-bigscience-openrail-m #region-us \n"
] |
44bae37e90157953b355c34f478fcb528b436617 | # Dataset Card for "huggingface_hub-dependents"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | open-source-metrics/huggingface_hub-dependents | [
"region:us"
] | 2022-10-18T16:42:53+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "null"}, {"name": "stars", "dtype": "null"}, {"name": "forks", "dtype": "null"}], "splits": [{"name": "package"}, {"name": "repository"}], "download_size": 1798, "dataset_size": 0}} | 2024-02-16T18:19:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "huggingface_hub-dependents"
More Information needed | [
"# Dataset Card for \"huggingface_hub-dependents\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"huggingface_hub-dependents\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"huggingface_hub-dependents\"\n\nMore Information needed"
] |
98c965d524897e68b0601d52308e8be096832be1 | # Dataset Card for "hub-docs-dependents"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | open-source-metrics/hub-docs-dependents | [
"region:us"
] | 2022-10-18T16:43:02+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "null"}, {"name": "stars", "dtype": "null"}, {"name": "forks", "dtype": "null"}], "splits": [{"name": "package"}, {"name": "repository"}], "download_size": 1798, "dataset_size": 0}} | 2024-02-16T18:08:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hub-docs-dependents"
More Information needed | [
"# Dataset Card for \"hub-docs-dependents\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hub-docs-dependents\"\n\nMore Information needed"
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17
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"passage: TAGS\n#region-us \n# Dataset Card for \"hub-docs-dependents\"\n\nMore Information needed"
] |
7e1f136ac970901e3c0f3e7d3c1a767c15f20a31 | SNOMED-CT-Code-Value-Semantic-Set.csv | awacke1/SNOMED-CT-Code-Value-Semantic-Set.csv | [
"license:mit",
"region:us"
] | 2022-10-18T17:19:41+00:00 | {"license": "mit"} | 2022-10-29T11:42:02+00:00 | [] | [] | TAGS
#license-mit #region-us
| URL | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
64caf7a2bb26ccdd78697ba041707e394f07ff1b | eCQM-Code-Value-Semantic-Set.csv | awacke1/eCQM-Code-Value-Semantic-Set.csv | [
"license:mit",
"region:us"
] | 2022-10-18T17:48:30+00:00 | {"license": "mit"} | 2022-10-29T11:40:54+00:00 | [] | [] | TAGS
#license-mit #region-us
| URL | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
2e48dde411fd4172fa5196bfe0f6aa1ad75f20d5 | # Dataset Card for BBBicycles
## Dataset Summary
Bent & Broken Bicycles (BBBicycles) dataset is a benchmark set for the novel task of **damaged object re-identification**, which aims to identify the same object in multiple images even in the presence of breaks, deformations, and missing parts. You can find an interacti... | GrainsPolito/BBBicycles | [
"license:cc-by-nc-4.0",
"region:us"
] | 2022-10-18T18:05:32+00:00 | {"license": "cc-by-nc-4.0"} | 2022-10-20T10:14:59+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
| # Dataset Card for BBBicycles
## Dataset Summary
Bent & Broken Bicycles (BBBicycles) dataset is a benchmark set for the novel task of damaged object re-identification, which aims to identify the same object in multiple images even in the presence of breaks, deformations, and missing parts. You can find an interactive p... | [
"# Dataset Card for BBBicycles",
"## Dataset Summary\nBent & Broken Bicycles (BBBicycles) dataset is a benchmark set for the novel task of damaged object re-identification, which aims to identify the same object in multiple images even in the presence of breaks, deformations, and missing parts. You can find an in... | [
"TAGS\n#license-cc-by-nc-4.0 #region-us \n",
"# Dataset Card for BBBicycles",
"## Dataset Summary\nBent & Broken Bicycles (BBBicycles) dataset is a benchmark set for the novel task of damaged object re-identification, which aims to identify the same object in multiple images even in the presence of breaks, defo... | [
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"passage: TAGS\n#license-cc-by-nc-4.0 #region-us \n# Dataset Card for BBBicycles## Dataset Summary\nBent & Broken Bicycles (BBBicycles) dataset is a benchmark set for the novel task of damaged object re-identification, which aims to identify the same object in multiple images even in the presence of breaks, deforma... |
f53f236e7cef0060169e534d6125f3c7d949a0f2 | LOINC-CodeSet-Value-Description.csv | awacke1/LOINC-CodeSet-Value-Description.csv | [
"license:mit",
"region:us"
] | 2022-10-18T18:08:21+00:00 | {"license": "mit"} | 2022-10-29T11:43:25+00:00 | [] | [] | TAGS
#license-mit #region-us
| URL | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
b3c1ead7e05c84f8605ed4cae91199639940046a | # Dataset Card for "ott-qa-20k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
The data was obtained from [here](https://github.com/wenhuchen/OTT-QA) | ashraq/ott-qa-20k | [
"region:us"
] | 2022-10-18T18:30:29+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "header", "sequence": "string"}, {"name": "data", "sequence": {"sequence": "string"}}, {"name": "section_title", "dtype": "string"}, {"name": "section_text", "dtype": "string"}, {"name": "uid", "dtype": "st... | 2022-10-21T08:06:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ott-qa-20k"
More Information needed
The data was obtained from here | [
"# Dataset Card for \"ott-qa-20k\"\n\nMore Information needed\n\nThe data was obtained from here"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ott-qa-20k\"\n\nMore Information needed\n\nThe data was obtained from here"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ott-qa-20k\"\n\nMore Information needed\n\nThe data was obtained from here"
] |
4027643008b46f5ef6e4ed9529a236d9d17a9777 | # Arcane Diffusion Dataset
Dataset containing the 75 images used to train the [Arcane Diffusion](https://huggingface.co/nitrosocke/Arcane-Diffusion) model.
Settings for training:
```class prompt: illustration style
instance prompt: illustration arcane style
learning rate: 5e-6
lr scheduler: constant
num class images: ... | nitrosocke/arcane-diffusion-dataset | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-10-18T19:47:20+00:00 | {"license": "creativeml-openrail-m"} | 2022-10-18T19:58:23+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| # Arcane Diffusion Dataset
Dataset containing the 75 images used to train the Arcane Diffusion model.
Settings for training:
| [
"# Arcane Diffusion Dataset\nDataset containing the 75 images used to train the Arcane Diffusion model.\n\nSettings for training:"
] | [
"TAGS\n#license-creativeml-openrail-m #region-us \n",
"# Arcane Diffusion Dataset\nDataset containing the 75 images used to train the Arcane Diffusion model.\n\nSettings for training:"
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31
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"passage: TAGS\n#license-creativeml-openrail-m #region-us \n# Arcane Diffusion Dataset\nDataset containing the 75 images used to train the Arcane Diffusion model.\n\nSettings for training:"
] |
65312b1ae759cb963e15e67d641b76c975f2da5b | This dataset contains two subsets: NEG-136-SIMP and NEG-136-NAT. NEG-136-SIMP items come from Fischler et al. (1983). NEG-136-NAT items come from Nieuwland & Kuperberg (2008).
The `NEG-136-SIMP.tsv` and `NEG-136-NAT.tsv` files contain for each item the affirmative and negative version of the context (context_aff, cont... | joey234/neg-136 | [
"region:us"
] | 2022-10-18T22:29:36+00:00 | {} | 2022-10-18T22:30:32+00:00 | [] | [] | TAGS
#region-us
| This dataset contains two subsets: NEG-136-SIMP and NEG-136-NAT. NEG-136-SIMP items come from Fischler et al. (1983). NEG-136-NAT items come from Nieuwland & Kuperberg (2008).
The 'URL' and 'URL' files contain for each item the affirmative and negative version of the context (context_aff, context_neg), and completions... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
0a578cf440b735e43aae48aee71e470b7274f095 | # Dataset Card for "laion-2b-vietnamese-subset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | truongpdd/laion-2b-vietnamese-subset | [
"region:us"
] | 2022-10-19T01:36:05+00:00 | {"dataset_info": {"features": [{"name": "SAMPLE_ID", "dtype": "int64"}, {"name": "URL", "dtype": "string"}, {"name": "TEXT", "dtype": "string"}, {"name": "HEIGHT", "dtype": "int32"}, {"name": "WIDTH", "dtype": "int32"}, {"name": "LICENSE", "dtype": "string"}, {"name": "LANGUAGE", "dtype": "string"}, {"name": "NSFW", "d... | 2022-10-19T05:09:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "laion-2b-vietnamese-subset"
More Information needed | [
"# Dataset Card for \"laion-2b-vietnamese-subset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"laion-2b-vietnamese-subset\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"laion-2b-vietnamese-subset\"\n\nMore Information needed"
] |
d1d88d27e2e912c28703113bc3ddcdc86211e8bc | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: google/pegasus-cnn_dailymail
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation job... | autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-2bc9e0-1812262541 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-19T04:49:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "google/pegasus-cnn_dailymail", "metrics": ["bleu"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text": "article", "target... | 2022-10-19T06:36:46+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: google/pegasus-cnn_dailymail
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic mo... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: google/pegasus-cnn_dailymail\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: google/pegasus-cnn_dailymail\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: google/pegasus-cnn_dailymail\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: tes... |
70eadbf169fd5ab7249fc8fcebced984b1b0f1de | # Dataset Card for "CelebA-faces-cropped-128"
Just a 128px version of the CelebA-faces dataset, which I've cropped to the face regions using dlib. Processing notebook: https://colab.research.google.com/drive/1-P5mKb5VEQrzCmpx5QWomlq0-WNXaSxn?usp=sharing
[More Information needed](https://github.com/huggingface/dataset... | tglcourse/CelebA-faces-cropped-128 | [
"region:us"
] | 2022-10-19T05:00:14+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "test", "num_bytes": 274664364.23, "num_examples": 10130}, {"name": "train", "num_bytes": 5216078696.499, "num_examples": 192469}], "download_size": 0, "dataset_size": 5490743060.729}} | 2022-10-19T09:36:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CelebA-faces-cropped-128"
Just a 128px version of the CelebA-faces dataset, which I've cropped to the face regions using dlib. Processing notebook: URL
More Information needed | [
"# Dataset Card for \"CelebA-faces-cropped-128\"\n\nJust a 128px version of the CelebA-faces dataset, which I've cropped to the face regions using dlib. Processing notebook: URL\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"CelebA-faces-cropped-128\"\n\nJust a 128px version of the CelebA-faces dataset, which I've cropped to the face regions using dlib. Processing notebook: URL\n\nMore Information needed"
] | [
6,
57
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"CelebA-faces-cropped-128\"\n\nJust a 128px version of the CelebA-faces dataset, which I've cropped to the face regions using dlib. Processing notebook: URL\n\nMore Information needed"
] |
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