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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e5138d3fa48bc2d05f9c3f125f1244d721d9d40a | # Test instruction backtranslation
This is the dataset I obtained by applying [instruction backtranslation](https://github.com/bigcode-project/bigcode-finetuning/tree/main/instruction_backtranslation) (just the `self-curation part`, no `self-augmentation`).
The model used for curation is starcoder, fine-tuned on OpenA... | ArmelR/test_instruction_backtranslation | [
"region:us"
] | 2023-09-28T08:45:30+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "completion", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "before_cleaning", "num_bytes": 58053871, "num_examples": 71968}, {"name": "round_0", "num_bytes": 58053871, "num_examples": 71968}, {"name": "round_... | 2023-09-28T08:54:30+00:00 | [] | [] | TAGS
#region-us
| # Test instruction backtranslation
This is the dataset I obtained by applying instruction backtranslation (just the 'self-curation part', no 'self-augmentation').
The model used for curation is starcoder, fine-tuned on OpenAssistant-guanaco. Here is the command :
| [
"# Test instruction backtranslation\n\nThis is the dataset I obtained by applying instruction backtranslation (just the 'self-curation part', no 'self-augmentation').\nThe model used for curation is starcoder, fine-tuned on OpenAssistant-guanaco. Here is the command :"
] | [
"TAGS\n#region-us \n",
"# Test instruction backtranslation\n\nThis is the dataset I obtained by applying instruction backtranslation (just the 'self-curation part', no 'self-augmentation').\nThe model used for curation is starcoder, fine-tuned on OpenAssistant-guanaco. Here is the command :"
] | [
6,
71
] | [
"passage: TAGS\n#region-us \n# Test instruction backtranslation\n\nThis is the dataset I obtained by applying instruction backtranslation (just the 'self-curation part', no 'self-augmentation').\nThe model used for curation is starcoder, fine-tuned on OpenAssistant-guanaco. Here is the command :"
] |
7b67447c5486d070500c9f8bb1f5408e4e5bf118 | # Dataset Card for "oasst1_th"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Thaweewat/oasst1_th | [
"language:th",
"region:us"
] | 2023-09-28T08:52:59+00:00 | {"language": ["th"], "dataset_info": [{"config_name": "default", "features": [{"name": "message_id", "dtype": "string"}, {"name": "parent_id", "dtype": "string"}, {"name": "user_id", "dtype": "string"}, {"name": "created_date", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "text_th", "dtype": "strin... | 2023-10-08T06:13:36+00:00 | [] | [
"th"
] | TAGS
#language-Thai #region-us
| # Dataset Card for "oasst1_th"
More Information needed | [
"# Dataset Card for \"oasst1_th\"\n\nMore Information needed"
] | [
"TAGS\n#language-Thai #region-us \n",
"# Dataset Card for \"oasst1_th\"\n\nMore Information needed"
] | [
11,
16
] | [
"passage: TAGS\n#language-Thai #region-us \n# Dataset Card for \"oasst1_th\"\n\nMore Information needed"
] |
0a0c61042c49f3c33e34a28c3da1146477bd96ad | # Dataset Card for "khang_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | khangmacon/khang_test | [
"region:us"
] | 2023-09-28T08:55:38+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3034036.0, "num_examples": 1030}, {"name": "test", "num_bytes":... | 2023-09-30T11:47:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "khang_test"
More Information needed | [
"# Dataset Card for \"khang_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"khang_test\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"khang_test\"\n\nMore Information needed"
] |
256d36b42ad198b2295b5d56831f123175926905 | # Dataset Card for "cream_listings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Binaryy/cream_listings | [
"region:us"
] | 2023-09-28T09:07:01+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "_id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "features", "sequence": "string"}, {"name": "description", "dtyp... | 2023-11-23T11:04:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cream_listings"
More Information needed | [
"# Dataset Card for \"cream_listings\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cream_listings\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cream_listings\"\n\nMore Information needed"
] |
1333461dc76124e8d7c5546a423abc4ee8b21ecc | # Dataset Card for "Persian-Query-Paraphrasing"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SeyedAli/Persian-Quora-Question-Pairs | [
"region:us"
] | 2023-09-28T09:35:31+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "q1", "dtype": "string"}, {"name": "q2", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "label", "dtype": "string"... | 2023-09-28T14:14:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Persian-Query-Paraphrasing"
More Information needed | [
"# Dataset Card for \"Persian-Query-Paraphrasing\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Persian-Query-Paraphrasing\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Persian-Query-Paraphrasing\"\n\nMore Information needed"
] |
f654f775d7e422f9d153c4cf6f37dc09e9476fdd | # CNIL (Commission nationale de l'informatique et des libertés)
All [CNIL](https://echanges.dila.gouv.fr/OPENDATA/CNIL/) decisions (opinions, recommendations, simplified standards, authorizations, etc.), since 2012, integration of authorization decisions (data processing, medical research) since the creation of the in... | Nicolas-BZRD/CNIL_opendata | [
"size_categories:10K<n<100K",
"language:fr",
"license:odc-by",
"legal",
"region:us"
] | 2023-09-28T09:49:15+00:00 | {"language": ["fr"], "license": "odc-by", "size_categories": ["10K<n<100K"], "pretty_name": "CNIL", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"nam... | 2023-09-28T09:59:20+00:00 | [] | [
"fr"
] | TAGS
#size_categories-10K<n<100K #language-French #license-odc-by #legal #region-us
| # CNIL (Commission nationale de l'informatique et des libertés)
All CNIL decisions (opinions, recommendations, simplified standards, authorizations, etc.), since 2012, integration of authorization decisions (data processing, medical research) since the creation of the institution in 1978. | [
"# CNIL (Commission nationale de l'informatique et des libertés)\n\nAll CNIL decisions (opinions, recommendations, simplified standards, authorizations, etc.), since 2012, integration of authorization decisions (data processing, medical research) since the creation of the institution in 1978."
] | [
"TAGS\n#size_categories-10K<n<100K #language-French #license-odc-by #legal #region-us \n",
"# CNIL (Commission nationale de l'informatique et des libertés)\n\nAll CNIL decisions (opinions, recommendations, simplified standards, authorizations, etc.), since 2012, integration of authorization decisions (data proces... | [
34,
64
] | [
"passage: TAGS\n#size_categories-10K<n<100K #language-French #license-odc-by #legal #region-us \n# CNIL (Commission nationale de l'informatique et des libertés)\n\nAll CNIL decisions (opinions, recommendations, simplified standards, authorizations, etc.), since 2012, integration of authorization decisions (data pro... |
4f82eb8f833b0f19143c9fd489b115b9325d9cc0 |
# Bengaluru Driving Dataset
<img src="https://adityang.github.io/AdityaNG/BengaluruDrivingDataset/index_files/BDD_Iterator_Demo-2023-08-30_08.25.17.gif" >
## Dataset Summary
We gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data from a calibrated camera se... | AdityaNG/BengaluruDrivingDatasetRaw | [
"license:mit",
"video",
"driving",
"Bengaluru",
"disparity maps",
"depth dataset",
"arxiv:2307.10934",
"region:us"
] | 2023-09-28T09:49:58+00:00 | {"license": "mit", "tags": ["video", "driving", "Bengaluru", "disparity maps", "depth dataset"], "homepage": "https://adityang.github.io/AdityaNG/BengaluruDrivingDataset/"} | 2024-01-08T14:20:57+00:00 | [
"2307.10934"
] | [] | TAGS
#license-mit #video #driving #Bengaluru #disparity maps #depth dataset #arxiv-2307.10934 #region-us
|
# Bengaluru Driving Dataset
<img src="URL >
## Dataset Summary
We gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data from a calibrated camera sensor with a resolution of 1920×1080 recorded at a framerate of 30 Hz. We utilize a Depth Dataset Generation pip... | [
"# Bengaluru Driving Dataset\n\n<img src=\"URL >",
"## Dataset Summary\n\nWe gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data from a calibrated camera sensor with a resolution of 1920×1080 recorded at a framerate of 30 Hz. We utilize a Depth Dataset G... | [
"TAGS\n#license-mit #video #driving #Bengaluru #disparity maps #depth dataset #arxiv-2307.10934 #region-us \n",
"# Bengaluru Driving Dataset\n\n<img src=\"URL >",
"## Dataset Summary\n\nWe gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data from a cali... | [
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16,
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"passage: TAGS\n#license-mit #video #driving #Bengaluru #disparity maps #depth dataset #arxiv-2307.10934 #region-us \n# Bengaluru Driving Dataset\n\n<img src=\"URL >## Dataset Summary\n\nWe gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data from a calibra... |
597228b0cc4db797d731e726dad857dfaf2c8eb3 | # KALI (Conventions collectives nationales)
[All collective agreements and related texts](https://echanges.dila.gouv.fr/OPENDATA/KALI/). The database also provides access to certain national collective agreements that have not been extended, as well as regional and departmental collective agreements, whether or not th... | Nicolas-BZRD/KALI_opendata | [
"size_categories:100K<n<1M",
"language:fr",
"license:odc-by",
"legal",
"region:us"
] | 2023-09-28T10:07:36+00:00 | {"language": ["fr"], "license": "odc-by", "size_categories": ["100K<n<1M"], "pretty_name": "Conventions collectives nationales", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype":... | 2023-09-28T10:15:14+00:00 | [] | [
"fr"
] | TAGS
#size_categories-100K<n<1M #language-French #license-odc-by #legal #region-us
| # KALI (Conventions collectives nationales)
All collective agreements and related texts. The database also provides access to certain national collective agreements that have not been extended, as well as regional and departmental collective agreements, whether or not they have been extended. The associated texts incl... | [
"# KALI (Conventions collectives nationales)\n\nAll collective agreements and related texts. The database also provides access to certain national collective agreements that have not been extended, as well as regional and departmental collective agreements, whether or not they have been extended. The associated tex... | [
"TAGS\n#size_categories-100K<n<1M #language-French #license-odc-by #legal #region-us \n",
"# KALI (Conventions collectives nationales)\n\nAll collective agreements and related texts. The database also provides access to certain national collective agreements that have not been extended, as well as regional and de... | [
34,
122
] | [
"passage: TAGS\n#size_categories-100K<n<1M #language-French #license-odc-by #legal #region-us \n# KALI (Conventions collectives nationales)\n\nAll collective agreements and related texts. The database also provides access to certain national collective agreements that have not been extended, as well as regional and... |
14fcfd0a7edc323a96d993e7e0f620d5a2da146c |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/hug... | Tyzuesh/CustomQADraupadiMurmu | [
"region:us"
] | 2023-09-28T10:12:20+00:00 | {} | 2023-09-29T07:08:11+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
### Supported Tasks and Leaderboards
### Languages
... | [
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:",
"### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"### Supported Tasks and Leaderb... | [
"TAGS\n#region-us \n",
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:",
"### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"### Su... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Dataset Name## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.### Supported Tasks a... |
1f105f2e97fe2e3de06b79826a6c2b8689da4c9a | # Q&R (National Assembly and )
The [database](https://echanges.dila.gouv.fr/OPENDATA/Questions-Reponses/) contains senators' questions with ministerial answers and questions from deputies wiht ministerial responses. | Nicolas-BZRD/QR_opendata | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:fr",
"license:odc-by",
"legal",
"region:us"
] | 2023-09-28T10:30:32+00:00 | {"language": ["fr"], "license": "odc-by", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "pretty_name": "Q&R Assembl\u00e9e nationale et S\u00e9nat", "tags": ["legal"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"feature... | 2023-09-28T11:13:03+00:00 | [] | [
"fr"
] | TAGS
#task_categories-question-answering #size_categories-n<1K #language-French #license-odc-by #legal #region-us
| # Q&R (National Assembly and )
The database contains senators' questions with ministerial answers and questions from deputies wiht ministerial responses. | [
"# Q&R (National Assembly and )\nThe database contains senators' questions with ministerial answers and questions from deputies wiht ministerial responses."
] | [
"TAGS\n#task_categories-question-answering #size_categories-n<1K #language-French #license-odc-by #legal #region-us \n",
"# Q&R (National Assembly and )\nThe database contains senators' questions with ministerial answers and questions from deputies wiht ministerial responses."
] | [
44,
37
] | [
"passage: TAGS\n#task_categories-question-answering #size_categories-n<1K #language-French #license-odc-by #legal #region-us \n# Q&R (National Assembly and )\nThe database contains senators' questions with ministerial answers and questions from deputies wiht ministerial responses."
] |
a68c7015888fbf61c8e7dfcc6ca3ea13881cd11f | # Dataset Card for "ltafdb_preprocessed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SneakyInsect/ltafdb_preprocessed | [
"region:us"
] | 2023-09-28T10:37:46+00:00 | {"dataset_info": {"features": [{"name": "record_id", "dtype": "string"}, {"name": "signal", "dtype": {"array2_d": {"shape": [2, 1000], "dtype": "float32"}}}], "splits": [{"name": "train", "num_bytes": 5676208388.003276, "num_examples": 707906}, {"name": "validation", "num_bytes": 658761012.8742297, "num_examples": 8215... | 2023-09-28T10:47:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ltafdb_preprocessed"
More Information needed | [
"# Dataset Card for \"ltafdb_preprocessed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ltafdb_preprocessed\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ltafdb_preprocessed\"\n\nMore Information needed"
] |
25f91c6192fabd3b322978f95c2b64c2157f0bfb | # A corpus of rewritten pubmed abstracts
This corpus contains a 1k example subset from the [pubmed](https://huggingface.co/datasets/pubmed) corpus and various rewritten versions. The rewritten versions change one aspect of the orginal text and keeps other aspects unchanged as much as possible.
- **Paper:** [Dissectin... | pixel-coping/pubmed_derived | [
"language:en",
"region:us"
] | 2023-09-28T10:45:25+00:00 | {"language": ["en"], "configs": [{"config_name": "default", "data_files": [{"split": "pubmed", "path": "data/pubmed-*"}, {"split": "nonbiomedical", "path": "data/nonbiomedical-*"}, {"split": "counterfactual", "path": "data/counterfactual-*"}, {"split": "casual", "path": "data/casual-*"}, {"split": "rap", "path": "data/... | 2023-10-06T01:26:15+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| # A corpus of rewritten pubmed abstracts
This corpus contains a 1k example subset from the pubmed corpus and various rewritten versions. The rewritten versions change one aspect of the orginal text and keeps other aspects unchanged as much as possible.
- Paper: Dissecting learning and forgetting in language model fin... | [
"# A corpus of rewritten pubmed abstracts\n\nThis corpus contains a 1k example subset from the pubmed corpus and various rewritten versions. The rewritten versions change one aspect of the orginal text and keeps other aspects unchanged as much as possible.\n\n- Paper: Dissecting learning and forgetting in language ... | [
"TAGS\n#language-English #region-us \n",
"# A corpus of rewritten pubmed abstracts\n\nThis corpus contains a 1k example subset from the pubmed corpus and various rewritten versions. The rewritten versions change one aspect of the orginal text and keeps other aspects unchanged as much as possible.\n\n- Paper: Diss... | [
10,
96,
79,
50
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"passage: TAGS\n#language-English #region-us \n# A corpus of rewritten pubmed abstracts\n\nThis corpus contains a 1k example subset from the pubmed corpus and various rewritten versions. The rewritten versions change one aspect of the orginal text and keeps other aspects unchanged as much as possible.\n\n- Paper: D... |
1e9edfd65ae8dddde519badc94d878a1998f9737 |
## Dataset Description
- **Paper:** [More Information Needed]
- **Point of Contact:** izabela.krysinska@doctorate.put.poznan.pl
### Dataset Summary
This dataset consists of 6591 tweets generated by GPT-3.5 model. The tweets are juxtaposed with a conspiracy theory related to COVID-19 pandemic. Each item consists of ... | webimmunization/COVID-19-conspiracy-theories-tweets | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0",
"twitter",
"social_science",
"misinformation",
"fake_news",
"conspiracy_theory",
"region:us"
] | 2023-09-28T10:49:47+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "tags": ["twitter", "social_science", "misinformation", "fake_news", "conspiracy_theory"]} | 2024-02-11T19:14:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-English #license-cc-by-4.0 #twitter #social_science #misinformation #fake_news #conspiracy_theory #region-us
|
## Dataset Description
- Paper:
- Point of Contact: izabela.krysinska@URL
### Dataset Summary
This dataset consists of 6591 tweets generated by GPT-3.5 model. The tweets are juxtaposed with a conspiracy theory related to COVID-19 pandemic. Each item consists of a label that represents the item's output class. The ... | [
"## Dataset Description\n- Paper: \n- Point of Contact: izabela.krysinska@URL",
"### Dataset Summary\n\nThis dataset consists of 6591 tweets generated by GPT-3.5 model. The tweets are juxtaposed with a conspiracy theory related to COVID-19 pandemic. Each item consists of a label that represents the item's output ... | [
"TAGS\n#task_categories-text-classification #size_categories-1K<n<10K #language-English #license-cc-by-4.0 #twitter #social_science #misinformation #fake_news #conspiracy_theory #region-us \n",
"## Dataset Description\n- Paper: \n- Point of Contact: izabela.krysinska@URL",
"### Dataset Summary\n\nThis dataset c... | [
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"passage: TAGS\n#task_categories-text-classification #size_categories-1K<n<10K #language-English #license-cc-by-4.0 #twitter #social_science #misinformation #fake_news #conspiracy_theory #region-us \n## Dataset Description\n- Paper: \n- Point of Contact: izabela.krysinska@URL### Dataset Summary\n\nThis dataset cons... |
e50b0b0f30b6b43fa30f45582073206758dfac5d | # Dataset Card for "Fingerprint_split_90_10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ArwaAbdul/Fingerprint_split_90_10 | [
"region:us"
] | 2023-09-28T11:06:53+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "1", "1": "2", "2": "3", "3": "4"}}}}], "splits": ... | 2023-09-28T11:14:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Fingerprint_split_90_10"
More Information needed | [
"# Dataset Card for \"Fingerprint_split_90_10\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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e5132373ae1ab04444db9863d645fd91a2f56b31 |
# Bangumi Image Base of Citrus
This is the image base of bangumi Citrus, we detected 18 characters, 1393 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this data... | BangumiBase/citrus | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-09-28T11:28:14+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-09-29T12:04:11+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Citrus
============================
This is the image base of bangumi Citrus, we detected 18 characters, 1393 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models us... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
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25
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"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
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a57a998f5d8def4f95534236224aa7df4c8973f4 | # Dataset Card for AGS
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Curation Rationale
- Source Data
- Personal and Sensitive Information
## Dataset Description
- *... | FahdSeddik/AGS-Corpus | [
"task_categories:summarization",
"size_categories:100K<n<1M",
"language:ar",
"license:cc-by-nc-4.0",
"chemistry",
"biology",
"legal",
"finance",
"music",
"art",
"code",
"climate",
"medical",
"region:us"
] | 2023-09-28T12:01:41+00:00 | {"language": ["ar"], "license": "cc-by-nc-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["summarization"], "pretty_name": "AGS Corpus", "tags": ["chemistry", "biology", "legal", "finance", "music", "art", "code", "climate", "medical"]} | 2023-09-29T11:36:04+00:00 | [] | [
"ar"
] | TAGS
#task_categories-summarization #size_categories-100K<n<1M #language-Arabic #license-cc-by-nc-4.0 #chemistry #biology #legal #finance #music #art #code #climate #medical #region-us
| # Dataset Card for AGS
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Curation Rationale
- Source Data
- Personal and Sensitive Information
## Dataset Description
- P... | [
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"## Da... | [
"TAGS\n#task_categories-summarization #size_categories-100K<n<1M #language-Arabic #license-cc-by-nc-4.0 #chemistry #biology #legal #finance #music #art #code #climate #medical #region-us \n",
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7448b3c443aab2de5ad3382def5f912de1eb5b03 | # Dataset Card for "WizardLM_evol_instruct_V2_code_filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | reshinthadith/WizardLM_evol_instruct_V2_code_filtered | [
"region:us"
] | 2023-09-28T12:31:53+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 324678355.29963636, "num_examples": 137864}], "download_size": 154940112, "dataset_size": 32467835... | 2023-09-28T12:32:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "WizardLM_evol_instruct_V2_code_filtered"
More Information needed | [
"# Dataset Card for \"WizardLM_evol_instruct_V2_code_filtered\"\n\nMore Information needed"
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7724f86c7ad15b8310a43ad7b8a4e33691367570 | # Dataset Card for "SD-CLIP-alignment-3000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Doub7e/SD-CLIP-alignment-3000 | [
"region:us"
] | 2023-09-28T12:34:45+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "clip_pred", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1385003606.0, "num_examples": 3000}], "download_size": 1385015330, "dataset_size": 1385003606.0}, "configs": [{"config_name": "d... | 2023-09-28T12:43:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SD-CLIP-alignment-3000"
More Information needed | [
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b386637bc35233ac760c1a93bcdef66e595a2048 | ---
configs:
- config_name: clean
data_files:
- split: clean
path: clean/clean-*
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
config_name: distill_bert
features:
- name: headline
dtype: string
- name: summary
dtype: string
- name: headline_sentim... | sehyun66/Finnhub-News | [
"region:us"
] | 2023-09-28T12:37:56+00:00 | {"configs": [{"config_name": "clean", "data_files": [{"split": "clean", "path": "clean/clean-*"}]}, {"config_name": "default", "data_files": [{"split": "finbert", "path": "data/finbert-*"}, {"split": "train", "path": "data/train-*"}]}], "dataset_info": {"config_name": "clean", "features": [{"name": "datetime", "dtype":... | 2023-10-12T10:55:56+00:00 | [] | [] | TAGS
#region-us
| ---
configs:
- config_name: clean
data_files:
- split: clean
path: clean/clean-*
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
config_name: distill_bert
features:
- name: headline
dtype: string
- name: summary
dtype: string
- name: headline_sentim... | [] | [
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d6ad13c339176cb23bde62493ac2572d0d3d9287 |
# German+English Wikitext
Wikitext_en_de is a replication of the `wikitext` dataset following the work by [Merity et al. (2016)](https://arxiv.org/abs/1609.07843).
It contains (mostly) all articles that Wikipedia classifies as ["exzellent"](https://de.wikipedia.org/wiki/Wikipedia:Exzellente_Artikel) or ["featured"](... | LeoLM/wikitext-en-de | [
"size_categories:1K<n<10K",
"language:de",
"language:en",
"license:cc-by-3.0",
"arxiv:1609.07843",
"region:us"
] | 2023-09-28T12:39:48+00:00 | {"language": ["de", "en"], "license": "cc-by-3.0", "size_categories": ["1K<n<10K"], "configs": [{"config_name": "exzellent_de", "data_files": "wiki_de_exzellent.parquet"}, {"config_name": "featured_en", "data_files": "wiki_en_featured.parquet"}, {"config_name": "exzellent_de_small", "data_files": "wiki_de_exzellent_sma... | 2023-09-28T13:04:12+00:00 | [
"1609.07843"
] | [
"de",
"en"
] | TAGS
#size_categories-1K<n<10K #language-German #language-English #license-cc-by-3.0 #arxiv-1609.07843 #region-us
| German+English Wikitext
=======================
Wikitext\_en\_de is a replication of the 'wikitext' dataset following the work by Merity et al. (2016).
It contains (mostly) all articles that Wikipedia classifies as "exzellent" or "featured" and can be used for example for perplexity evaluation.
This dataset was cre... | [] | [
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cd6d47ff36fad8bda20c5f5441ecf86a80b020f0 | Like the Greeks, the Romans told their own story of a refugee from the Trojan War. Their hero was Aeneas, son of Anchises and the goddess Aphrodite, who sailed from the burning ruins of Troy to found a new city in Italy. It was foretold by the gods that this second Troy would give birth to a race that would rule the wo... | zozos/Passage_1.1 | [
"region:us"
] | 2023-09-28T12:41:23+00:00 | {} | 2023-09-28T12:43:04+00:00 | [] | [] | TAGS
#region-us
| Like the Greeks, the Romans told their own story of a refugee from the Trojan War. Their hero was Aeneas, son of Anchises and the goddess Aphrodite, who sailed from the burning ruins of Troy to found a new city in Italy. It was foretold by the gods that this second Troy would give birth to a race that would rule the wo... | [] | [
"TAGS\n#region-us \n"
] | [
6
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1e17d174d083bd53185a92ca60415f4d575e6e49 | # AutoTrain Dataset for project: jump_up_down
## Dataset Description
This dataset has been automatically processed by AutoTrain for project jump_up_down.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
... | xuming/autotrain-data-jump_up_down | [
"task_categories:image-classification",
"region:us"
] | 2023-09-28T12:45:35+00:00 | {"task_categories": ["image-classification"]} | 2023-09-28T13:45:47+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: jump\_up\_down
=============================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project jump\_up\_down.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
--------... | [
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8047551e57590f7a23f38f38a4ed36f0eb6ba8bd |
# Dataset of Aihara Yuzu
This is the dataset of Aihara Yuzu, containing 300 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
|... | CyberHarem/aihara_yuzu_citrus | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-28T13:09:46+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-09-28T13:19:06+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Aihara Yuzu
======================
This is the dataset of Aihara Yuzu, containing 300 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
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b2711658daba367a79789003c384bf55fce248b7 | # Dataset Card for "guanaco-llama2-200_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mehta77/guanaco-llama2-200_1 | [
"region:us"
] | 2023-09-28T13:12:42+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 338808, "num_examples": 200}], "download_size": 201258, "dataset_size": 338808}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-28T13:12:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "guanaco-llama2-200_1"
More Information needed | [
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bee211539751147019c08a3ef79ebd82dcbfebbc | # Dataset Card for "AO3_fandom_chai"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ebony59/AO3_fandom_chai | [
"region:us"
] | 2023-09-28T13:15:51+00:00 | {"dataset_info": {"features": [{"name": "personalities", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "character_1", "dtype": "string"}, {"name": "character_2", "dtype": "string"}, {"name": "conversations", "list": [{"name": "content", "dtype": "string"}, {"name": "do_train", "dtype": "bool"}, {"... | 2023-09-28T17:11:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "AO3_fandom_chai"
More Information needed | [
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06184d646d67b0c183eec7c18cfedcf446eacee8 | # Dataset Card for "dataset_train_nli"
Dataset for training a universal classifier. Additional information and training code available here: https://github.com/MoritzLaurer/zeroshot-classifier
| MoritzLaurer/dataset_train_nli_old | [
"region:us"
] | 2023-09-28T13:28:44+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "labels", "dtype": {"class_label": {"names": {"0": "entailment", "1": "not_entailment"}}}}, {"name": "task_name", "dtype": "string"}, {"name": "label_text", "dtype": "string"}], "splits": [{"name": "t... | 2024-01-21T13:49:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset_train_nli"
Dataset for training a universal classifier. Additional information and training code available here: URL
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571eb20866a3ddcc83495ffc6e668d3a8b0a7068 | # Dataset Card for "dataset_test_concat_nli"
Dataset for testing a universal classifier. Additional information and training code available here: https://github.com/MoritzLaurer/zeroshot-classifier
| MoritzLaurer/dataset_test_concat_nli | [
"region:us"
] | 2023-09-28T13:30:12+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "labels", "dtype": {"class_label": {"names": {"0": "entailment", "1": "not_entailment"}}}}, {"name": "task_name", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15114416, "num_examples... | 2023-11-29T18:40:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset_test_concat_nli"
Dataset for testing a universal classifier. Additional information and training code available here: URL
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323e03758cc13d928b60fd10d95b5cfb4bf46ddc |
# Generated E-mail Spam
The dataset consists of a **CSV file** containing of 300 generated email spam messages. Each row in the file represents a separate email message, its *title and text.* The dataset aims to facilitate the analysis and detection of spam emails.
The dataset can be used for various purposes, such ... | TrainingDataPro/generated-e-mail-spam | [
"task_categories:text-generation",
"task_categories:text-classification",
"language:en",
"license:cc-by-nc-nd-4.0",
"code",
"finance",
"region:us"
] | 2023-09-28T13:36:07+00:00 | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "task_categories": ["text-generation", "text-classification"], "tags": ["code", "finance"], "dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "text", "dtype": "large_string"}], "splits": [{"name": "train", "num_bytes": 233533, "num_examples":... | 2023-09-28T14:29:45+00:00 | [] | [
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] | TAGS
#task_categories-text-generation #task_categories-text-classification #language-English #license-cc-by-nc-nd-4.0 #code #finance #region-us
|
# Generated E-mail Spam
The dataset consists of a CSV file containing of 300 generated email spam messages. Each row in the file represents a separate email message, its *title and text.* The dataset aims to facilitate the analysis and detection of spam emails.
The dataset can be used for various purposes, such as *... | [
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b17c8e0c0c4e35d7beddf7e43b5a222ffade52d6 |
# Dataset Card for Reflexive Polyhedra of Calabi-Yau Threefolds
## Table of Contents
- [Dataset Description](#dataset-description)
- [General Information](#general-information)
- [Dataset Origin](#dataset-origin)
- [Dataset Characteristics](#dataset-characteristics)
- [Schema](#schema)
- [Data Fields](#data-... | avermeersch/calabi-yau-threefolds | [
"size_categories:1K<n<10K",
"license:other",
"Calabi-Yau",
"Toric Geometry",
"String Theory",
"Polyhedra",
"Geometry",
"Physics",
"region:us"
] | 2023-09-28T13:38:46+00:00 | {"license": "other", "size_categories": ["1K<n<10K"], "pretty_name": "Calabi-Yau 3-Folds", "name": "Reflexive Polyhedra of Calabi-Yau Threefolds", "date": "2023-09-28", "domain": "Physics", "tags": ["Calabi-Yau", "Toric Geometry", "String Theory", "Polyhedra", "Geometry", "Physics"]} | 2023-12-13T15:04:21+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-other #Calabi-Yau #Toric Geometry #String Theory #Polyhedra #Geometry #Physics #region-us
|
# Dataset Card for Reflexive Polyhedra of Calabi-Yau Threefolds
## Table of Contents
- Dataset Description
- General Information
- Dataset Origin
- Dataset Characteristics
- Schema
- Data Fields
- Data Format
- Usage
- Getting Started
- Machine Learning Applications
- Citations
## Dataset Descriptio... | [
"# Dataset Card for Reflexive Polyhedra of Calabi-Yau Threefolds",
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9ddf867bbe4f15bb13f6f0a8b40ee42d0b5d2389 | # Dataset Card for "dataset_test_disaggregated_nli"
Dataset for testing a universal classifier. Additional information and training code available here: https://github.com/MoritzLaurer/zeroshot-classifier
| MoritzLaurer/dataset_test_disaggregated_nli | [
"region:us"
] | 2023-09-28T13:43:00+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "mnli_m", "path": "data/mnli_m-*"}, {"split": "mnli_mm", "path": "data/mnli_mm-*"}, {"split": "fevernli", "path": "data/fevernli-*"}, {"split": "anli_r1", "path": "data/anli_r1-*"}, {"split": "anli_r2", "path": "data/anli_r2-*"}, {"split": "anli_r3", "pat... | 2023-11-29T18:40:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset_test_disaggregated_nli"
Dataset for testing a universal classifier. Additional information and training code available here: URL
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6f6d34c4a303bc3c0555ecd47cbb49b4988f5034 | # ACCO (Collecttive Company Agreements)
[Company agreements](https://echanges.dila.gouv.fr/OPENDATA/ACCO/) published in accordance with article of decree no. 2017-752 of 3 May 2017 on the publication of collective agreements.
These agreements may concern:
- groups
- companies
- establishments
The following are publ... | Nicolas-BZRD/ACCO_opendata | [
"size_categories:100K<n<1M",
"language:fr",
"license:odc-by",
"legal",
"region:us"
] | 2023-09-28T13:46:58+00:00 | {"language": ["fr"], "license": "odc-by", "size_categories": ["100K<n<1M"], "pretty_name": "Collecttive Company Agreements", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "st... | 2023-09-28T18:01:30+00:00 | [] | [
"fr"
] | TAGS
#size_categories-100K<n<1M #language-French #license-odc-by #legal #region-us
| # ACCO (Collecttive Company Agreements)
Company agreements published in accordance with article of decree no. 2017-752 of 3 May 2017 on the publication of collective agreements.
These agreements may concern:
- groups
- companies
- establishments
The following are published:
- agreements concluded
- their amendment(... | [
"# ACCO (Collecttive Company Agreements)\n\nCompany agreements published in accordance with article of decree no. 2017-752 of 3 May 2017 on the publication of collective agreements.\nThese agreements may concern:\n- groups\n- companies\n- establishments\n \nThe following are published:\n- agreements concluded\n- t... | [
"TAGS\n#size_categories-100K<n<1M #language-French #license-odc-by #legal #region-us \n",
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7296e870ffb6c3ea87dfe5756c4918cc830502d5 |
# Dataset of Aihara Mei
This is the dataset of Aihara Mei, containing 237 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
| N... | CyberHarem/aihara_mei_citrus | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-28T13:47:31+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-09-28T13:54:18+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Aihara Mei
=====================
This is the dataset of Aihara Mei, containing 237 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
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44
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3652393f2639e1bd2d6389a4527f9ca160e5e1cb | # Introduction
AGIEval is a human-centric benchmark specifically designed to evaluate the general abilities of foundation models in tasks pertinent to human cognition and problem-solving.
This benchmark is derived from 20 official, public, and high-standard admission and qualification exams intended for general human ... | lighteval/agi_eval_en | [
"arxiv:2304.06364",
"region:us"
] | 2023-09-28T13:59:03+00:00 | {} | 2023-10-17T13:46:49+00:00 | [
"2304.06364"
] | [] | TAGS
#arxiv-2304.06364 #region-us
| # Introduction
AGIEval is a human-centric benchmark specifically designed to evaluate the general abilities of foundation models in tasks pertinent to human cognition and problem-solving.
This benchmark is derived from 20 official, public, and high-standard admission and qualification exams intended for general human ... | [
"# Introduction\nAGIEval is a human-centric benchmark specifically designed to evaluate the general abilities of foundation models in tasks pertinent to human cognition and problem-solving. \nThis benchmark is derived from 20 official, public, and high-standard admission and qualification exams intended for general... | [
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04a9002c0e2eeec39bad78c9c64bf1e504bd13e9 |
# Dataset of Taniguchi Harumi
This is the dataset of Taniguchi Harumi, containing 72 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deep... | CyberHarem/taniguchi_harumi_citrus | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-28T14:02:00+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-09-28T14:04:25+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Taniguchi Harumi
===========================
This is the dataset of Taniguchi Harumi, containing 72 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
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c9d1a6f10f40f93451114efc06873135e1dd2bed | # Dataset Card for "squad_rare_v4_train_10_eval_10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/squad_rare_v4_train_10_eval_10 | [
"region:us"
] | 2023-09-28T14:08:06+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"}]}, {"name": "context_i... | 2023-09-28T14:08:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "squad_rare_v4_train_10_eval_10"
More Information needed | [
"# Dataset Card for \"squad_rare_v4_train_10_eval_10\"\n\nMore Information needed"
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bd467aa88fd4d6c3f182e833ce9b8f01f9a63a0a | # Dataset Card for "squad_wrong_rare_v4_train_10_eval_10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/squad_wrong_rare_v4_train_10_eval_10 | [
"region:us"
] | 2023-09-28T14:08:24+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"}]}, {"name": "context_i... | 2023-09-28T14:08:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "squad_wrong_rare_v4_train_10_eval_10"
More Information needed | [
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e8d24bfbe00d9f50724c14c9e4c59018d48ba5bf | # Dataset Card for "squad_no_rare_v4_train_10_eval_10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/squad_no_rare_v4_train_10_eval_10 | [
"region:us"
] | 2023-09-28T14:08:42+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"}]}, {"name": "context_i... | 2023-09-28T14:08:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "squad_no_rare_v4_train_10_eval_10"
More Information needed | [
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260f140a3654556ce672e226c98f0bb2f4b1899f | # Dataset Card for "squad_no_rare_strict_v4_train_10_eval_10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/squad_no_rare_strict_v4_train_10_eval_10 | [
"region:us"
] | 2023-09-28T14:08:51+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"}]}, {"name": "context_i... | 2023-09-28T14:08:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "squad_no_rare_strict_v4_train_10_eval_10"
More Information needed | [
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e1e8429697648b01b14ce61753f94fc2c2a55453 | # Face Emotion Classification Dataset
This dataset contain about 35000 images which are belongs to 7 classes. This dataset can be used to train deep learning models for human emotion classification problems.
| manojdilz/facial_emotion_detection_dataset | [
"region:us"
] | 2023-09-28T14:09:48+00:00 | {} | 2023-10-14T13:30:28+00:00 | [] | [] | TAGS
#region-us
| # Face Emotion Classification Dataset
This dataset contain about 35000 images which are belongs to 7 classes. This dataset can be used to train deep learning models for human emotion classification problems.
| [
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f9cf09448f797179951a5e8248e653c80182fc51 |
# Dataset of Momokino Himeko
This is the dataset of Momokino Himeko, containing 97 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepgh... | CyberHarem/momokino_himeko_citrus | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-28T14:15:35+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-09-28T14:18:43+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Momokino Himeko
==========================
This is the dataset of Momokino Himeko, containing 97 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
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44
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d67d1931d7382e49415c4be58c38b330a66c93c5 | # Dataset Card for "IteraTeR_v2_fixed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | reza-alipour/IteraTeR_v2_fixed | [
"region:us"
] | 2023-09-28T14:28:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "before_sent", "dtype": "string"}, {"name": "after_sent", "dtype": "string"}, {"nam... | 2023-09-28T14:28:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "IteraTeR_v2_fixed"
More Information needed | [
"# Dataset Card for \"IteraTeR_v2_fixed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"IteraTeR_v2_fixed\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"IteraTeR_v2_fixed\"\n\nMore Information needed"
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a070ad817f5299ec7d21a8a423370c6f52ec8f45 |
# Dataset of Mizusawa Matsuri
This is the dataset of Mizusawa Matsuri, containing 90 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deep... | CyberHarem/mizusawa_matsuri_citrus | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-28T14:29:30+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-09-28T14:32:26+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Mizusawa Matsuri
===========================
This is the dataset of Mizusawa Matsuri, containing 90 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
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7924dd15217a732fa6b11b711e2593a69c6fe27c |
# Dataset of Tachibana Sara
This is the dataset of Tachibana Sara, containing 69 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)... | CyberHarem/tachibana_sara_citrus | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-28T14:40:50+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-09-28T14:43:21+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Tachibana Sara
=========================
This is the dataset of Tachibana Sara, containing 69 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
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7f858c15e3e423390abcc4d453ee9dd97e02c592 | # Dataset Card for "Zeroshot_Train-20K_other_tweet-format"
This dataset is a train dataset for the Zeroshot models.
It has 20.000 data in a prompt format exclusively for train with class 'other' in Brazilian Portuguese.
Prompt:
```
"Classifique o tweet entre 'classe1', 'classe2', 'classe3', 'classe4', 'other' \\n\\n... | Weni/Zeroshot_Train-20K_other_tweet-format | [
"task_categories:zero-shot-classification",
"size_categories:10K<n<100K",
"language:pt",
"region:us"
] | 2023-09-28T14:42:14+00:00 | {"language": ["pt"], "size_categories": ["10K<n<100K"], "task_categories": ["zero-shot-classification"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "source_text", "dtype": "string"}, {"name": "target_text", "dtype": "string... | 2023-09-28T17:41:59+00:00 | [] | [
"pt"
] | TAGS
#task_categories-zero-shot-classification #size_categories-10K<n<100K #language-Portuguese #region-us
| # Dataset Card for "Zeroshot_Train-20K_other_tweet-format"
This dataset is a train dataset for the Zeroshot models.
It has 20.000 data in a prompt format exclusively for train with class 'other' in Brazilian Portuguese.
Prompt:
The dataset was divided as follows: <br>
## How to load and use this dataset:
More ... | [
"# Dataset Card for \"Zeroshot_Train-20K_other_tweet-format\"\n\nThis dataset is a train dataset for the Zeroshot models. \nIt has 20.000 data in a prompt format exclusively for train with class 'other' in Brazilian Portuguese.\n\nPrompt:\n\n\nThe dataset was divided as follows: <br>",
"## How to load and use thi... | [
"TAGS\n#task_categories-zero-shot-classification #size_categories-10K<n<100K #language-Portuguese #region-us \n",
"# Dataset Card for \"Zeroshot_Train-20K_other_tweet-format\"\n\nThis dataset is a train dataset for the Zeroshot models. \nIt has 20.000 data in a prompt format exclusively for train with class 'othe... | [
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64670690de42424366b8a47954bb8f72192417ea | # Dataset Card for "test_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rs9000/test_data | [
"region:us"
] | 2023-09-28T14:44:05+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "original_prompt", "dtype": "string"}, {"name": "positive_prompt", "dtype": "string"}, {"name": "negative_prompt", "dtype": "string"}, {"name": ... | 2023-09-28T14:47:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_data"
More Information needed | [
"# Dataset Card for \"test_data\"\n\nMore Information needed"
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57de7e747826183adeb65033a86c39c42baa5061 |
# Dataset of Tachibana Nina
This is the dataset of Tachibana Nina, containing 44 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)... | CyberHarem/tachibana_nina_citrus | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-28T14:48:55+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-09-28T14:51:08+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Tachibana Nina
=========================
This is the dataset of Tachibana Nina, containing 44 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
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153fbbce1b6b969905621c64579bab941b54a7bb | # Dataset Card for "llama-7b__model__one_million_instructions__reconstructions_sample"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jxm/llama-7b__model__one_million_instructions__reconstructions_sample | [
"region:us"
] | 2023-09-28T15:23:27+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"name": "length", "dtype": "int64"}, {"name": "embedder_input_ids", "sequence": "int64"}, {"name": "embedder_attention_mask", "sequence": "int64"}, {"name"... | 2023-09-29T01:24:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "llama-7b__model__one_million_instructions__reconstructions_sample"
More Information needed | [
"# Dataset Card for \"llama-7b__model__one_million_instructions__reconstructions_sample\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"llama-7b__model__one_million_instructions__reconstructions_sample\"\n\nMore Information needed"
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3cf267b78fdfdfdf7654aa1c9abb5ab708470fb8 | # Udmurt-Russian dataset from Tatoeba
Contains 888 Russian-Udmurt sentences. Punctuation added to some sentences. Dump downloaded 28.09.2023.
## Usage
```py
from datasets import load_dataset
dataset = load_dataset("udmurtNLP/tatoeba-rus-udm-parallel-corpora")
``` | udmurtNLP/tatoeba-rus-udm-parallel-corpora | [
"task_categories:translation",
"size_categories:n<1K",
"language:udm",
"region:us"
] | 2023-09-28T15:23:39+00:00 | {"language": ["udm"], "size_categories": ["n<1K"], "task_categories": ["translation"], "dataset_info": {"features": [{"name": "rus", "dtype": "string"}, {"name": "udm", "dtype": "string"}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 80931, "num_examples": 889}], "download_size": 39... | 2023-09-28T15:30:59+00:00 | [] | [
"udm"
] | TAGS
#task_categories-translation #size_categories-n<1K #language-Udmurt #region-us
| # Udmurt-Russian dataset from Tatoeba
Contains 888 Russian-Udmurt sentences. Punctuation added to some sentences. Dump downloaded 28.09.2023.
## Usage
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] |
ce0d005ce80954b61c6ce55130559148c79ddc47 | # Similing or Not
A dataset comprised of closeups of people's faces, belonging to 2 binary classes.
- 600 smiling faces in the "smile" folder.
- 603 non smiling faces in the "non_smile" folder.
We can build a smile detector with this dataset, and even a "smile transformer" via a Style Transfer algorithm.
The "test"... | zrthxn/SmilingOrNot | [
"region:us"
] | 2023-09-28T15:29:50+00:00 | {} | 2023-09-28T15:41:56+00:00 | [] | [] | TAGS
#region-us
| # Similing or Not
A dataset comprised of closeups of people's faces, belonging to 2 binary classes.
- 600 smiling faces in the "smile" folder.
- 603 non smiling faces in the "non_smile" folder.
We can build a smile detector with this dataset, and even a "smile transformer" via a Style Transfer algorithm.
The "test"... | [
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54b537570983a7547325a722a2ee3a51e9dce7b5 | # Dataset Card for "dreambooth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kewu93/dreambooth | [
"region:us"
] | 2023-09-28T15:38:17+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 63956933.0, "num_examples": 90}... | 2023-09-28T15:38:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dreambooth"
More Information needed | [
"# Dataset Card for \"dreambooth\"\n\nMore Information needed"
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f786730fd11197cc38b618e7dc1c74a8d8e7230f | # Dataset Card for "adj_extension"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | loremipsum3658/adj_extension | [
"region:us"
] | 2023-09-28T16:02:18+00:00 | {"dataset_info": {"features": [{"name": "data", "dtype": "string"}, {"name": "titulo", "dtype": "string"}, {"name": "andamento", "dtype": "string"}, {"name": "nup", "dtype": "null"}, {"name": "classificacao_andamento", "sequence": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train",... | 2023-09-28T16:03:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "adj_extension"
More Information needed | [
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a0eb3201a20c063da0fdc1b23ea9fac2e4379f75 | # Dataset Card for "694df328"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/694df328 | [
"region:us"
] | 2023-09-28T16:05:55+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 162, "num_examples": 10}], "download_size": 1318, "dataset_size": 162}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-28T16:05:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "694df328"
More Information needed | [
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fe1eb517d1f3a6fdbb41b892169ad11468c34e45 |
# D3FEND: A knowledge graph of cybersecurity countermeasures
### Overview
D3FEND encodes a countermeasure knowledge base in the form of a
knowledge graph. It meticulously organizes key concepts and relations
in the cybersecurity countermeasure domain, linking each to pertinent
references in the cybersecurity literatu... | wikipunk/d3fend | [
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"license:mit",
"knowledge-graph",
"rdf",
"owl",
"ontology",
"cybersecurity",
"region:us"
] | 2023-09-28T16:31:03+00:00 | {"annotations_creators": ["expert-generated"], "language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["graph-ml"], "pretty_name": "D3FEND", "tags": ["knowledge-graph", "rdf", "owl", "ontology", "cybersecurity"], "dataset_info": {"features": [{"name": "subject", "dtype": "string"}, {... | 2023-09-29T14:08:51+00:00 | [] | [
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|
# D3FEND: A knowledge graph of cybersecurity countermeasures
### Overview
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1d6ff041966912d4a8c4289a70734d68530fd1a8 | # Dataset Card for "3af02cc5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/3af02cc5 | [
"region:us"
] | 2023-09-28T16:37:52+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 164, "num_examples": 10}], "download_size": 1315, "dataset_size": 164}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-28T16:37:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "3af02cc5"
More Information needed | [
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3f6ff8048e30092b553648679aa1a56664286aab | # Dataset Card for "Semantic-Search-V1-14K"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Weni/Semantic-Search-V1-14K | [
"region:us"
] | 2023-09-28T16:56:40+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "produto", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 821874, "num_examples": 14037}], "download_size": 421707, "dataset_size... | 2023-09-28T17:33:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Semantic-Search-V1-14K"
More Information needed | [
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306a4e35d491b63ecf20f0747723414dba01a57b |
# Dataset Card for UniProtKB/Swiss-Prot
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
[More Information Needed]
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## ... | zgcarvalho/swiss-prot-test | [
"size_categories:100k<n<1M",
"license:cc-by-4.0",
"biology",
"protein",
"region:us"
] | 2023-09-28T16:58:05+00:00 | {"license": "cc-by-4.0", "size_categories": "100k<n<1M", "pretty_name": "UniProtKB/Swiss-Prot", "tags": ["biology", "protein"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "accession... | 2023-09-28T17:19:57+00:00 | [] | [] | TAGS
#size_categories-100k<n<1M #license-cc-by-4.0 #biology #protein #region-us
|
# Dataset Card for UniProtKB/Swiss-Prot
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
### Supported Tasks and Leaderboards
### Languages
## Dataset Structure
### Data Instances
### Data Fields
### Data Splits
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1192f87c89078271aca4b5ee963c9ae6653af2c2 |
This is a remote sensing image Military Aircraft Recognition dataset that include 3842 images, 20 types, and 22341 instances annotated with horizontal bounding boxes and oriented bounding boxes. | Alex5666/Military-Aircraft-Recognition-dataset | [
"task_categories:image-classification",
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] | 2023-09-28T17:14:30+00:00 | {"license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["image-classification", "image-segmentation", "image-to-text", "image-to-image", "object-detection", "depth-estimation"], "tags": ["legal"]} | 2023-09-28T17:17:32+00:00 | [] | [] | TAGS
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|
This is a remote sensing image Military Aircraft Recognition dataset that include 3842 images, 20 types, and 22341 instances annotated with horizontal bounding boxes and oriented bounding boxes. | [] | [
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4bad426956953d81b1eeaf0136fa611e4b730282 | # Dataset Card for "Zeroshot_Train-20K_bias_tweet-format"
This dataset is a train dataset for the Zeroshot models.
It has 20.000 data in a prompt format exclusively for train with class 'bias' in Brazilian Portuguese.
Prompt:
```
"Classifique o tweet entre 'classe1', 'classe2', 'classe3', 'classe4', 'bias' \\n\\nTwee... | Weni/Zeroshot_Train-20K_bias_tweet-format | [
"task_categories:zero-shot-classification",
"size_categories:10K<n<100K",
"language:pt",
"region:us"
] | 2023-09-28T17:27:59+00:00 | {"language": ["pt"], "size_categories": ["10K<n<100K"], "task_categories": ["zero-shot-classification"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "source_text", "dtype": "string"}, {"name": "target_text", "dtype": "string... | 2023-09-28T17:41:12+00:00 | [] | [
"pt"
] | TAGS
#task_categories-zero-shot-classification #size_categories-10K<n<100K #language-Portuguese #region-us
| # Dataset Card for "Zeroshot_Train-20K_bias_tweet-format"
This dataset is a train dataset for the Zeroshot models.
It has 20.000 data in a prompt format exclusively for train with class 'bias' in Brazilian Portuguese.
Prompt:
The dataset was divided as follows: <br>
## How to load and use this dataset:
More Inf... | [
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"## How to load and use this da... | [
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"# Dataset Card for \"Zeroshot_Train-20K_bias_tweet-format\"\nThis dataset is a train dataset for the Zeroshot models. \nIt has 20.000 data in a prompt format exclusively for train with class 'bias' i... | [
37,
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"passage: TAGS\n#task_categories-zero-shot-classification #size_categories-10K<n<100K #language-Portuguese #region-us \n# Dataset Card for \"Zeroshot_Train-20K_bias_tweet-format\"\nThis dataset is a train dataset for the Zeroshot models. \nIt has 20.000 data in a prompt format exclusively for train with class 'bias... |
7149775b0f5a1c3d5e25e0019709306faa086a29 | # Dataset Card for "Zeroshot_Train-20K_nenhuma_tweet-format"
This dataset is a train dataset for the Zeroshot models.
It has 20.000 data in a prompt format exclusively for train with class 'nenhuma' in Brazilian Portuguese.
Prompt:
```
"Classifique o tweet entre 'classe1', 'classe2', 'classe3', 'classe4', 'nenhuma' ... | Weni/Zeroshot_Train-20K_nenhuma_tweet-format | [
"task_categories:zero-shot-classification",
"size_categories:10K<n<100K",
"language:pt",
"region:us"
] | 2023-09-28T17:42:51+00:00 | {"language": ["pt"], "size_categories": ["10K<n<100K"], "task_categories": ["zero-shot-classification"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "source_text", "dtype": "string"}, {"name": "target_text", "dtype": "string... | 2023-09-28T17:44:36+00:00 | [] | [
"pt"
] | TAGS
#task_categories-zero-shot-classification #size_categories-10K<n<100K #language-Portuguese #region-us
| # Dataset Card for "Zeroshot_Train-20K_nenhuma_tweet-format"
This dataset is a train dataset for the Zeroshot models.
It has 20.000 data in a prompt format exclusively for train with class 'nenhuma' in Brazilian Portuguese.
Prompt:
The dataset was divided as follows: <br>
## How to load and use this dataset:
M... | [
"# Dataset Card for \"Zeroshot_Train-20K_nenhuma_tweet-format\"\n\nThis dataset is a train dataset for the Zeroshot models. \nIt has 20.000 data in a prompt format exclusively for train with class 'nenhuma' in Brazilian Portuguese.\n\nPrompt:\n\n\nThe dataset was divided as follows: <br>",
"## How to load and use... | [
"TAGS\n#task_categories-zero-shot-classification #size_categories-10K<n<100K #language-Portuguese #region-us \n",
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37,
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"passage: TAGS\n#task_categories-zero-shot-classification #size_categories-10K<n<100K #language-Portuguese #region-us \n# Dataset Card for \"Zeroshot_Train-20K_nenhuma_tweet-format\"\n\nThis dataset is a train dataset for the Zeroshot models. \nIt has 20.000 data in a prompt format exclusively for train with class ... |
23fb4fc91dbc13be9d59813ac28de05bfbdbe29e | # Dataset Card for "code_instructions_7_5k_alpaca_spanish"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rodr16020/code_instructions_7_5k_alpaca_spanish | [
"region:us"
] | 2023-09-28T18:05:41+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "instruction_text", "dtype": "string"}, {"name": "llama2_c... | 2023-10-30T20:53:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "code_instructions_7_5k_alpaca_spanish"
More Information needed | [
"# Dataset Card for \"code_instructions_7_5k_alpaca_spanish\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"code_instructions_7_5k_alpaca_spanish\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"code_instructions_7_5k_alpaca_spanish\"\n\nMore Information needed"
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a7033c1993a5789156a272c278cd235c25b0ab2d | # INCA
[Texts of unpublished judgments](https://echanges.dila.gouv.fr/OPENDATA/INCA/) (not published in the Bulletin) distributed by the Court of Cassation's competition fund since 1989.
In accordance with the CNIL recommendation of 29 November 2001, personal data concerning individuals (parties and witnesses) is pseu... | Nicolas-BZRD/INCA_opendata | [
"size_categories:100K<n<1M",
"language:fr",
"license:odc-by",
"legal",
"region:us"
] | 2023-09-28T18:17:07+00:00 | {"language": ["fr"], "license": "odc-by", "size_categories": ["100K<n<1M"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes"... | 2023-09-29T08:39:59+00:00 | [] | [
"fr"
] | TAGS
#size_categories-100K<n<1M #language-French #license-odc-by #legal #region-us
| # INCA
Texts of unpublished judgments (not published in the Bulletin) distributed by the Court of Cassation's competition fund since 1989.
In accordance with the CNIL recommendation of 29 November 2001, personal data concerning individuals (parties and witnesses) is pseudonymised. | [
"# INCA\n\nTexts of unpublished judgments (not published in the Bulletin) distributed by the Court of Cassation's competition fund since 1989.\nIn accordance with the CNIL recommendation of 29 November 2001, personal data concerning individuals (parties and witnesses) is pseudonymised."
] | [
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34,
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6ad82a7e6f18318bb406372abff999935d401c3b |
# Code documentation dataset
This dataset aims leverage usage of lm to automatically generate documenation to undocumented python code. Dataset consists of pairs code and its documenation
Content of dataset is created from CodeSearchNet dataset. | juraj-juraj/doc_gen | [
"task_categories:text-generation",
"language:en",
"license:mit",
"region:us"
] | 2023-09-28T18:51:32+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["text-generation"], "pretty_name": "py_code_doc", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info"... | 2023-11-27T18:34:33+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #license-mit #region-us
|
# Code documentation dataset
This dataset aims leverage usage of lm to automatically generate documenation to undocumented python code. Dataset consists of pairs code and its documenation
Content of dataset is created from CodeSearchNet dataset. | [
"# Code documentation dataset\nThis dataset aims leverage usage of lm to automatically generate documenation to undocumented python code. Dataset consists of pairs code and its documenation\n\nContent of dataset is created from CodeSearchNet dataset."
] | [
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"passage: TAGS\n#task_categories-text-generation #language-English #license-mit #region-us \n# Code documentation dataset\nThis dataset aims leverage usage of lm to automatically generate documenation to undocumented python code. Dataset consists of pairs code and its documenation\n\nContent of dataset is created f... |
7dc5836275a496d0f10eb24430264d33a550119d |
# Bangumi Image Base of Kobayashi-san Chi No Maidragon
This is the image base of bangumi Kobayashi-san Chi no Maidragon, we detected 33 characters, 3524 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you... | BangumiBase/kobayashisanchinomaidragon | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-09-28T19:20:25+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-09-29T12:15:05+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Kobayashi-san Chi No Maidragon
====================================================
This is the image base of bangumi Kobayashi-san Chi no Maidragon, we detected 33 characters, 3524 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% clea... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
0e0e4f88b99cf30f5ec2432c1c38c9908a08e5e8 |
# Dataset Card for UniRef50
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
[More Information Needed]
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Stru... | zgcarvalho/uniref50-test | [
"size_categories:10M<n<100M",
"license:cc-by-4.0",
"biology",
"protein",
"region:us"
] | 2023-09-28T19:55:09+00:00 | {"license": "cc-by-4.0", "size_categories": "10M<n<100M", "pretty_name": "UniRef50", "tags": ["biology", "protein"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "strin... | 2023-09-28T23:47:52+00:00 | [] | [] | TAGS
#size_categories-10M<n<100M #license-cc-by-4.0 #biology #protein #region-us
|
# Dataset Card for UniRef50
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
### Supported Tasks and Leaderboards
### Languages
## Dataset Structure
### Data Instances
### Data Fields
### Data Splits
## Dataset Creation
### Cur... | [
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94dec6a357e8098493fd37cc213a4ed188103f4a |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset is built on the iNaturalist 2021 dataset and is used for the Incremental Generalized Category Discovery task.
For more information ... | tennant/iNatIGCD | [
"arxiv:2304.14310",
"region:us"
] | 2023-09-28T20:00:30+00:00 | {} | 2023-09-28T20:53:34+00:00 | [
"2304.14310"
] | [] | TAGS
#arxiv-2304.14310 #region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
This dataset is built on the iNaturalist 2021 dataset and is used for the Incremental Generalized Category Discovery task.
For more information about the task, plea... | [
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ce7f0fa8206b580030d5b3712f388f504560d2c9 | # DIARC-LLM-Parser-Embodied-NLU-Styled-4K
This dataset contains about ~4k utterances together with their semantic parses as interpretable by the DIARC cognitive robotic architecture.
The parses are meant to capture the speech-theoretic aspects of NL and parse the intent, referents, and descriptors in the utterance.
... | vsarathy/DIARC-embodied-nlu-styled-4k | [
"language:en",
"license:mit",
"region:us"
] | 2023-09-28T20:03:36+00:00 | {"language": ["en"], "license": "mit", "pretty_name": "DIARC-embodied-nlu-styled-4k "} | 2023-09-30T00:02:53+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #region-us
| # DIARC-LLM-Parser-Embodied-NLU-Styled-4K
This dataset contains about ~4k utterances together with their semantic parses as interpretable by the DIARC cognitive robotic architecture.
The parses are meant to capture the speech-theoretic aspects of NL and parse the intent, referents, and descriptors in the utterance.
... | [
"# DIARC-LLM-Parser-Embodied-NLU-Styled-4K\n\nThis dataset contains about ~4k utterances together with their semantic parses as interpretable by the DIARC cognitive robotic architecture.\n\nThe parses are meant to capture the speech-theoretic aspects of NL and parse the intent, referents, and descriptors in the utt... | [
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57af95f205acc0de72a60f0d76ed1c13c9749aa2 | # Dataset Card for "MetalDam_NoBright_Augmented_Cropped"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ironchanchellor/MetalDam_NoBright_Augmented_Cropped | [
"region:us"
] | 2023-09-28T20:05:51+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 309419533.... | 2023-10-02T13:41:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MetalDam_NoBright_Augmented_Cropped"
More Information needed | [
"# Dataset Card for \"MetalDam_NoBright_Augmented_Cropped\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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6bace9f0e01e3fcbe30ffc509878614f248cc1d5 | # Dataset Card for "llama-7b__model__one_million_instructions__emb__sample"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jxm/llama-7b__model__one_million_instructions__emb__sample | [
"region:us"
] | 2023-09-28T20:18:21+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"name": "length", "dtype": "int64"}, {"name": "embedder_input_ids", "sequence": "int64"}, {"name": "embedder_attention_mask", "sequence": "int64"}, {"name"... | 2023-09-28T20:19:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "llama-7b__model__one_million_instructions__emb__sample"
More Information needed | [
"# Dataset Card for \"llama-7b__model__one_million_instructions__emb__sample\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"llama-7b__model__one_million_instructions__emb__sample\"\n\nMore Information needed"
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eb1ea65de11ce73d2960df55be0b6f7643694267 | # Dataset Card for "SD-CLIP-alignment-composition"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Doub7e/SD-CLIP-alignment-composition | [
"region:us"
] | 2023-09-28T20:23:16+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "clip_pred", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 405174703.0, "num_examples": 900}], "download_size": 405155460, "dataset_size": 405174703.0}, "configs": [{"config_name": "defau... | 2023-09-28T20:56:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SD-CLIP-alignment-composition"
More Information needed | [
"# Dataset Card for \"SD-CLIP-alignment-composition\"\n\nMore Information needed"
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693b41bae035fd6b79669563429bb5b7f41844d9 | # Dataset Card for "dataset_complete3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zooxsmartufpb/dataset_complete3 | [
"region:us"
] | 2023-09-28T20:28:07+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 81060969, "num_examples": 46099}], "download_size": 8042824, "dataset_size": 81060969}, "configs": [{"config_name": "default", "data_files": [{"split": "train",... | 2023-09-28T20:28:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset_complete3"
More Information needed | [
"# Dataset Card for \"dataset_complete3\"\n\nMore Information needed"
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81a2e69081be6796ecea92c47983e46ec27e51b5 | # LEGI (CODES, LAWS AND REGULATIONS)
[The full consolidated text of national legislation and regulations.](https://echanges.dila.gouv.fr/OPENDATA/LEGI/)<br>
It consists essentially of :
- official codes
- laws
- decree-laws
- ordinances
- decrees
- a selection of decrees
Consolidation of texts involves rewriting an ... | Nicolas-BZRD/LEGI_opendata | [
"size_categories:1M<n<10M",
"language:fr",
"license:odc-by",
"legal",
"region:us"
] | 2023-09-28T21:49:10+00:00 | {"language": ["fr"], "license": "odc-by", "size_categories": ["1M<n<10M"], "pretty_name": "Codes, Lois et R\u00e9glements Consolid\u00e9s", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text... | 2023-09-29T09:10:54+00:00 | [] | [
"fr"
] | TAGS
#size_categories-1M<n<10M #language-French #license-odc-by #legal #region-us
| # LEGI (CODES, LAWS AND REGULATIONS)
The full consolidated text of national legislation and regulations.<br>
It consists essentially of :
- official codes
- laws
- decree-laws
- ordinances
- decrees
- a selection of decrees
Consolidation of texts involves rewriting an article of a text (or code) to incorporate the c... | [
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"passage: TAGS\n#size_categories-1M<n<10M #language-French #license-odc-by #legal #region-us \n# LEGI (CODES, LAWS AND REGULATIONS)\n\nThe full consolidated text of national legislation and regulations.<br>\nIt consists essentially of : \n- official codes\n- laws\n- decree-laws\n- ordinances\n- decrees\n- a selecti... |
c500518503577a333b05bc49cd8c1b6d66d5c5ad | # Dataset Card for "80bca589"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/80bca589 | [
"region:us"
] | 2023-09-28T21:53:51+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 242, "num_examples": 10}], "download_size": 1409, "dataset_size": 242}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-28T21:53:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "80bca589"
More Information needed | [
"# Dataset Card for \"80bca589\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"80bca589\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"80bca589\"\n\nMore Information needed"
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3fca922ac4858e51ba17f701aebaaacec99beebc | # Dataset Card for "dda30fff"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/dda30fff | [
"region:us"
] | 2023-09-28T21:55:07+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 164, "num_examples": 10}], "download_size": 1316, "dataset_size": 164}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-28T21:55:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dda30fff"
More Information needed | [
"# Dataset Card for \"dda30fff\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"dda30fff\"\n\nMore Information needed"
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6,
14
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"passage: TAGS\n#region-us \n# Dataset Card for \"dda30fff\"\n\nMore Information needed"
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e0595ccc44d568bd353cc69eb6bf8181adc79afd | # Dataset Card for "bfc3e463"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/bfc3e463 | [
"region:us"
] | 2023-09-28T21:55:09+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 164, "num_examples": 10}], "download_size": 1316, "dataset_size": 164}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-28T21:55:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bfc3e463"
More Information needed | [
"# Dataset Card for \"bfc3e463\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bfc3e463\"\n\nMore Information needed"
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6,
15
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"passage: TAGS\n#region-us \n# Dataset Card for \"bfc3e463\"\n\nMore Information needed"
] |
ec249f7ba68b9e59457f3994da0c16c0237aeb72 | # Dataset Card for "autotree_automl_electricity_dim7_sd0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yzhuang/autotree_automl_electricity_dim7_sd0 | [
"region:us"
] | 2023-09-28T22:56:24+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "input_x", "sequence": "float32"}, {"name": "input_y", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 1400412, "num_examples": 26931}, {"name": "validation", "num_bytes": 600236, "num_examples": 11543}], "download_size": 12317... | 2023-09-29T21:58:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "autotree_automl_electricity_dim7_sd0"
More Information needed | [
"# Dataset Card for \"autotree_automl_electricity_dim7_sd0\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"autotree_automl_electricity_dim7_sd0\"\n\nMore Information needed"
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6,
25
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"passage: TAGS\n#region-us \n# Dataset Card for \"autotree_automl_electricity_dim7_sd0\"\n\nMore Information needed"
] |
c7cdb2beeff8999405a53a76e71481b2b0e0056d | # Dataset Card for "humaneval_x_llvm_wasm"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | JeremiahZ/humaneval_x_llvm_wasm | [
"region:us"
] | 2023-09-28T23:04:31+00:00 | {"dataset_info": {"features": [{"name": "task_id", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "declaration", "dtype": "string"}, {"name": "canonical_solution", "dtype": "string"}, {"name": "test", "dtype": "string"}, {"name": "example_test", "dtype": "string"}, {"name": "llvm_ir", "dtype": "str... | 2023-09-28T23:04:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "humaneval_x_llvm_wasm"
More Information needed | [
"# Dataset Card for \"humaneval_x_llvm_wasm\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"humaneval_x_llvm_wasm\"\n\nMore Information needed"
] | [
6,
22
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"passage: TAGS\n#region-us \n# Dataset Card for \"humaneval_x_llvm_wasm\"\n\nMore Information needed"
] |
e1582f4a05a193719991f20c6d557447976e7488 | # Dataset Card for "yahoo_answers_topics"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jdabello/yahoo_answers_topics | [
"region:us"
] | 2023-09-29T00:10:17+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int32"}, {"name": "topic", "dtype": "string"}, {"name": "question_title", "dtype": "string"}, {"name": "question_content", "dtype": "string"}, {"name": "best_answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 778905695, "num_examples": 1400000... | 2023-09-29T00:11:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "yahoo_answers_topics"
More Information needed | [
"# Dataset Card for \"yahoo_answers_topics\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"yahoo_answers_topics\"\n\nMore Information needed"
] | [
6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"yahoo_answers_topics\"\n\nMore Information needed"
] |
f622fd434af011127d9565d9c8a3393eab9611f7 | # Dataset Card for "llama2d-zoo-compass"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | llama2d/llama2d-zoo-compass | [
"region:us"
] | 2023-09-29T00:35:19+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "float32"}, {"name": "coords", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "float32"}, {"name": "attention_mask", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 24160000, "num_examples": 10000}], "download_size... | 2023-10-05T23:26:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "llama2d-zoo-compass"
More Information needed | [
"# Dataset Card for \"llama2d-zoo-compass\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"llama2d-zoo-compass\"\n\nMore Information needed"
] | [
6,
20
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"passage: TAGS\n#region-us \n# Dataset Card for \"llama2d-zoo-compass\"\n\nMore Information needed"
] |
68593ba439f6def1c41afd3078dc5aa2557a7950 | # Dataset Card for "44203dc9"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-muse256-muse512-wuerst-sdv15/44203dc9 | [
"region:us"
] | 2023-09-29T00:42:20+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 192, "num_examples": 10}], "download_size": 1374, "dataset_size": 192}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-29T00:42:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "44203dc9"
More Information needed | [
"# Dataset Card for \"44203dc9\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"44203dc9\"\n\nMore Information needed"
] | [
6,
15
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"passage: TAGS\n#region-us \n# Dataset Card for \"44203dc9\"\n\nMore Information needed"
] |
c3abb1a17dbd82b4266a81c8311bda36f6f4af3c | # Dataset Card for "b13fe8b2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-muse256-muse512-wuerst-sdv15/b13fe8b2 | [
"region:us"
] | 2023-09-29T00:45:07+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 208, "num_examples": 10}], "download_size": 1369, "dataset_size": 208}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-29T00:45:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "b13fe8b2"
More Information needed | [
"# Dataset Card for \"b13fe8b2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"b13fe8b2\"\n\nMore Information needed"
] | [
6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"b13fe8b2\"\n\nMore Information needed"
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6028d3806cef633db6aa362d3c06ef5fbcca731c | # Dataset Card for "0b3e4624"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-muse256-muse512-wuerst-sdv15/0b3e4624 | [
"region:us"
] | 2023-09-29T00:49:39+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 224, "num_examples": 10}], "download_size": 1395, "dataset_size": 224}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-29T00:49:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "0b3e4624"
More Information needed | [
"# Dataset Card for \"0b3e4624\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"0b3e4624\"\n\nMore Information needed"
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6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"0b3e4624\"\n\nMore Information needed"
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c46a092e8ba1a8ac5ffaff32774998a6ee082033 | # Dataset Card for "ac20e7b9"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-muse256-muse512-wuerst-sdv15/ac20e7b9 | [
"region:us"
] | 2023-09-29T00:52:45+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 201, "num_examples": 10}], "download_size": 1382, "dataset_size": 201}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-29T00:52:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ac20e7b9"
More Information needed | [
"# Dataset Card for \"ac20e7b9\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ac20e7b9\"\n\nMore Information needed"
] | [
6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"ac20e7b9\"\n\nMore Information needed"
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3b1edec33916d41c3aa14773c71d152ea789d511 | # Dataset Card for "97e5914c"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-muse256-muse512-wuerst-sdv15/97e5914c | [
"region:us"
] | 2023-09-29T00:57:52+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 222, "num_examples": 10}], "download_size": 1364, "dataset_size": 222}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-29T00:57:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "97e5914c"
More Information needed | [
"# Dataset Card for \"97e5914c\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"97e5914c\"\n\nMore Information needed"
] | [
6,
15
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"passage: TAGS\n#region-us \n# Dataset Card for \"97e5914c\"\n\nMore Information needed"
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69ef6cc335442b282f29bc379bc309c976fa7f6c | # Dataset Card for "fd9df6ed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-muse256-muse512-wuerst-sdv15/fd9df6ed | [
"region:us"
] | 2023-09-29T01:00:24+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 215, "num_examples": 10}], "download_size": 1393, "dataset_size": 215}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-09-29T01:00:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fd9df6ed"
More Information needed | [
"# Dataset Card for \"fd9df6ed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"fd9df6ed\"\n\nMore Information needed"
] | [
6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"fd9df6ed\"\n\nMore Information needed"
] |
02b4b21513cb7e110b6a3d56ced888a3fffa3066 |
# Bangumi Image Base of Thunderbolt Fantasy
This is the image base of bangumi Thunderbolt Fantasy, we detected 21 characters, 1926 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually tr... | BangumiBase/thunderboltfantasy | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-09-29T01:02:26+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-09-29T12:26:36+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Thunderbolt Fantasy
=========================================
This is the image base of bangumi Thunderbolt Fantasy, we detected 21 characters, 1926 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
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3623269096a9abf0e3eea3ff6319afaca3bed13d | hello world | tttfff/test | [
"region:us"
] | 2023-09-29T01:07:46+00:00 | {} | 2023-09-29T01:23:29+00:00 | [] | [] | TAGS
#region-us
| hello world | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
1a75fee952ff8f45b931c41cb7ae38f2f773f7cb | This dataset is on progress, just for save the JSONL dataset to do train in the Cloud. It's not complete. | abdiharyadi/indoamrbart-dataset | [
"region:us"
] | 2023-09-29T01:21:18+00:00 | {} | 2023-10-17T10:37:44+00:00 | [] | [] | TAGS
#region-us
| This dataset is on progress, just for save the JSONL dataset to do train in the Cloud. It's not complete. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
7b96045cf292cacf6bd916491aa4beb7b9c0f832 | # Dataset Card for "test1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tttfff/test1 | [
"region:us"
] | 2023-09-29T01:52:46+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "package_name", "dtype": "string"}, {"name": "review", "dtype": "string"}, {"name": "date", "dtype": "... | 2023-09-29T01:53:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test1"
More Information needed | [
"# Dataset Card for \"test1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"test1\"\n\nMore Information needed"
] | [
6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"test1\"\n\nMore Information needed"
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8155f1b276181fa29ef6f385788a755c3a25acdd |
# Bengaluru Semantic Occupancy Dataset
<img src="https://adityang.github.io/AdityaNG/BengaluruDrivingDataset/index_files/BDD_Iterator_Demo-2023-08-30_08.25.17.gif" >
## Dataset Summary
We gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data from a calibrate... | AdityaNG/BengaluruSemanticOccupancyDataset | [
"license:mit",
"video",
"driving",
"Bengaluru",
"disparity maps",
"depth dataset",
"arxiv:2307.10934",
"region:us"
] | 2023-09-29T03:14:08+00:00 | {"license": "mit", "tags": ["video", "driving", "Bengaluru", "disparity maps", "depth dataset"], "homepage": "https://adityang.github.io/AdityaNG/BengaluruDrivingDataset/"} | 2024-01-08T14:56:29+00:00 | [
"2307.10934"
] | [] | TAGS
#license-mit #video #driving #Bengaluru #disparity maps #depth dataset #arxiv-2307.10934 #region-us
|
# Bengaluru Semantic Occupancy Dataset
<img src="URL >
## Dataset Summary
We gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data from a calibrated camera sensor with a resolution of 1920×1080 recorded at a framerate of 30 Hz. We utilize a Depth Dataset Gen... | [
"# Bengaluru Semantic Occupancy Dataset\n\n<img src=\"URL >",
"## Dataset Summary\n\nWe gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data from a calibrated camera sensor with a resolution of 1920×1080 recorded at a framerate of 30 Hz. We utilize a Dept... | [
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"## Dataset Summary\n\nWe gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data ... | [
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"passage: TAGS\n#license-mit #video #driving #Bengaluru #disparity maps #depth dataset #arxiv-2307.10934 #region-us \n# Bengaluru Semantic Occupancy Dataset\n\n<img src=\"URL >## Dataset Summary\n\nWe gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data fro... |
d64232cdab68a2147f59a97e2fc817e868b1de30 | a dataset with the openplatypus logic dataset, and the megacode-best code dataset. It should be around 20% general logic and 80% code. | sw882882/megacodeLogic-92k | [
"region:us"
] | 2023-09-29T03:34:21+00:00 | {} | 2023-09-29T04:25:20+00:00 | [] | [] | TAGS
#region-us
| a dataset with the openplatypus logic dataset, and the megacode-best code dataset. It should be around 20% general logic and 80% code. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
a5d23a5732a4e94023ecec6814c078c311f8b499 | [
{
"id": 1,
"question": "How can I program a VEX robot to follow a line?",
"Question_Category": "Programming",
"Answer_Category": "Instructional",
"Format_Category": "Text",
"answer": "To program a VEX robot to follow a line, you will need a line follower sensor. Onc... | TheVarunKaushik/VEX | [
"region:us"
] | 2023-09-29T03:38:12+00:00 | {} | 2023-09-29T20:18:40+00:00 | [] | [] | TAGS
#region-us
| [
{
"id": 1,
"question": "How can I program a VEX robot to follow a line?",
"Question_Category": "Programming",
"Answer_Category": "Instructional",
"Format_Category": "Text",
"answer": "To program a VEX robot to follow a line, you will need a line follower sensor. Onc... | [] | [
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"passage: TAGS\n#region-us \n"
] |
beebad156687f29c9d9f9d1b24eb903e338f7521 | # Dataset Card for "code-dictation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Andyrasika/code-dictation | [
"region:us"
] | 2023-09-29T03:40:45+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"nam... | 2023-09-29T03:41:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "code-dictation"
More Information needed | [
"# Dataset Card for \"code-dictation\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"code-dictation\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"code-dictation\"\n\nMore Information needed"
] |
b3e02462f4d1be3ab2f77cfde72a3266c6cbea3f | # Dataset Card for "distillation_code_sample_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jitx/distillation_code_sample_2 | [
"region:us"
] | 2023-09-29T04:05:23+00:00 | {"dataset_info": {"features": [{"name": "santacoder_prompts", "dtype": "string"}, {"name": "fim_inputs", "dtype": "string"}, {"name": "label_middles", "dtype": "string"}, {"name": "santacoder_outputs", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 59821, "num_examples": 18}], "download_size": 43459, "d... | 2023-09-29T04:05:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "distillation_code_sample_2"
More Information needed | [
"# Dataset Card for \"distillation_code_sample_2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"distillation_code_sample_2\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"distillation_code_sample_2\"\n\nMore Information needed"
] |
9b0f6f4205e16e912d1802abdfac83d64d4b3879 |
"vex_robotics_faq": [
{
"question": "What is VEX Robotics?",
"answer": "VEX Robotics is a platform for learning about and building robots. It offers educational resources and a range of robotic kits for individuals and teams to learn about engineering, programming, and problem-solv... | TheVarunKaushik/VexRobot | [
"language:en",
"code",
"region:us"
] | 2023-09-29T04:05:48+00:00 | {"language": ["en"], "pretty_name": "Vex Language", "tags": ["code"]} | 2023-09-29T20:16:40+00:00 | [] | [
"en"
] | TAGS
#language-English #code #region-us
|
"vex_robotics_faq": [
{
"question": "What is VEX Robotics?",
"answer": "VEX Robotics is a platform for learning about and building robots. It offers educational resources and a range of robotic kits for individuals and teams to learn about engineering, programming, and problem-solv... | [] | [
"TAGS\n#language-English #code #region-us \n"
] | [
12
] | [
"passage: TAGS\n#language-English #code #region-us \n"
] |
2befbbf8f9cdb13a2014f240bac38907dd1a5cc6 |
# Dataset of 凜雪鴉
This is the dataset of 凜雪鴉, containing 147 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
| Name ... | CyberHarem/lin_xue_ya_thunderboltfantasy | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-29T04:26:48+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-09-29T04:30:12+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of 凜雪鴉
==============
This is the dataset of 凜雪鴉, containing 147 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
034ac96d53b554fa63aacb8130fa524cf9cd3a8a |
# Dataset of 殤不患
This is the dataset of 殤不患, containing 261 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
| Name ... | CyberHarem/shang_bu_huan_thunderboltfantasy | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-29T04:54:58+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-09-29T05:01:56+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of 殤不患
==============
This is the dataset of 殤不患, containing 261 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
e1caf873673b38fa34f84ac6b054c3ae5de07655 | # Dataset Card for "summaries-de-v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tucan-ai/summaries-de-v1 | [
"region:us"
] | 2023-09-29T04:55:08+00:00 | {"dataset_info": {"features": [{"name": "content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 93014092.0, "num_examples": 8060}, {"name": "test", "num_bytes": 23253523.0, "num_examples": 2015}], "download_size": 68440450, "dataset_size": 116267615.0}, "configs": [{"config_name": "default", "data_fil... | 2023-10-18T13:33:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summaries-de-v1"
More Information needed | [
"# Dataset Card for \"summaries-de-v1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"summaries-de-v1\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"summaries-de-v1\"\n\nMore Information needed"
] |
05ac5404e63ca10cbb68f491516e190840d800ab |
# Dataset of 浪巫謠
This is the dataset of 浪巫謠, containing 176 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
| Name ... | CyberHarem/lang_wu_yao_thunderboltfantasy | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-09-29T05:19:47+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-09-29T05:23:24+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of 浪巫謠
==============
This is the dataset of 浪巫謠, containing 176 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
001ce4fb9e732e103a5b92b3e14c1fe4fc43ff0a | # AutoTrain Dataset for project: sgugit-model-v4
## Dataset Description
This dataset has been automatically processed by AutoTrain for project sgugit-model-v4.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
``... | GRPUI/autotrain-data-sgugit-model-v4 | [
"task_categories:text-classification",
"region:us"
] | 2023-09-29T05:29:03+00:00 | {"task_categories": ["text-classification"]} | 2023-10-02T08:06:43+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: sgugit-model-v4
==============================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project sgugit-model-v4.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
"TAGS\n#task_categories-text-classification #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (... | [
17,
27,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-text-classification #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also call... |
ba0800325bb778199ea27edd8df10d377073131c | # Dataset Card for "test-books"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Andalf/test-books | [
"region:us"
] | 2023-09-29T05:30:44+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes": 1950648.0, "num_examples": 238}, {"name": "test", "num_byte... | 2023-09-29T05:30:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test-books"
More Information needed | [
"# Dataset Card for \"test-books\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"test-books\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"test-books\"\n\nMore Information needed"
] |
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