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b556ca40f395999f250e9a3d69ca85db0329308d | # Dataset Card for "disc_cla_quinta-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_quinta-2 | [
"region:us"
] | 2023-03-22T13:29:37+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "null"}, {"name": "inputs", "struct": [{"name": "comision", "dtype": "string"}, {"name": "fecha_gaceta", "dtype": "string"}, {"name": "gaceta_numero", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "text", "dtype": "string"}]}, {"name": "predic... | 2023-03-22T13:29:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_quinta-2"
More Information needed | [
"# Dataset Card for \"disc_cla_quinta-2\"\n\nMore Information needed"
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2ee74199b698ebd72d2959642e6e70c0c2355fb5 | # Dataset Card for "disc_cla_sexta-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_sexta-2 | [
"region:us"
] | 2023-03-22T13:29:59+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "null"}, {"name": "inputs", "struct": [{"name": "comision", "dtype": "string"}, {"name": "fecha_gaceta", "dtype": "string"}, {"name": "gaceta_numero", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "text", "dtype": "string"}]}, {"name": "predic... | 2023-03-22T13:30:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_sexta-2"
More Information needed | [
"# Dataset Card for \"disc_cla_sexta-2\"\n\nMore Information needed"
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1e8620869df7451874edd56d70393bea4c648b6f | # Dataset Card for "disc_cla_septima-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sleoruiz/disc_cla_septima-2 | [
"region:us"
] | 2023-03-22T13:30:23+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "null"}, {"name": "inputs", "struct": [{"name": "comision", "dtype": "string"}, {"name": "fecha_gaceta", "dtype": "string"}, {"name": "gaceta_numero", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "text", "dtype": "string"}]}, {"name": "predic... | 2023-03-22T13:30:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disc_cla_septima-2"
More Information needed | [
"# Dataset Card for \"disc_cla_septima-2\"\n\nMore Information needed"
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577cd1ae3d4de3c3115c68f047319b39933792a0 |
# Dataset Card for AIDA CoNLL-YAGO Wikidata
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#... | cyanic-selkie/aida-conll-yago-wikidata | [
"task_categories:token-classification",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-sa-3.0",
"wikidata",
"wikipedia",
"named-entity-recognition",
"named-entity-linking",
"region:us"
] | 2023-03-22T13:30:44+00:00 | {"language": ["en"], "license": "cc-by-sa-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["token-classification"], "pretty_name": "AIDA CoNLL-YAGO Wikidata", "tags": ["wikidata", "wikipedia", "named-entity-recognition", "named-entity-linking"]} | 2023-06-28T18:01:17+00:00 | [] | [
"en"
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#task_categories-token-classification #size_categories-10K<n<100K #language-English #license-cc-by-sa-3.0 #wikidata #wikipedia #named-entity-recognition #named-entity-linking #region-us
| Dataset Card for AIDA CoNLL-YAGO Wikidata
=========================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Additional Information
+ Licensing Information
Dat... | [
"### Dataset Summary\n\n\nThe AIDA CoNLL-YAGO Wikidata dataset is the same as the original AIDA CoNLL-YAGO dataset, but with Wikidata QIDs instead of Wikipedia titles as entity identifiers. They are automatically generated (with a few manual corrections) from Wikidata and Wikipedia dumps (March 1, 2023).\n\n\nThe c... | [
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6e1a0783042fc8a08f6c600c4eb33350d3efa143 | Generated from https://huggingface.co/datasets/michaelthwan/oa_wiki_qa_bart_10000row
Code: [open-assistant git](https://github.com/LAION-AI/Open-Assistant/tree/main/data/datasets)
-> data/datasets/bart_searchgpt_wiki_nlp_augment
---
license: mit
---
| michaelthwan/oa_wiki_qa_bart_10000row | [
"region:us"
] | 2023-03-22T13:47:06+00:00 | {} | 2023-03-22T13:50:20+00:00 | [] | [] | TAGS
#region-us
| Generated from URL
Code: open-assistant git
-> data/datasets/bart_searchgpt_wiki_nlp_augment
---
license: mit
---
| [] | [
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8bc340720aa66759fc2545ba1aee0e43e2517b6a |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:** [https://satinbenchmark.github.io](https://satinbenchmark.github.io)
- **Repository:**
- **Paper:** [SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models](https://arxiv.org/pdf/2304.11619.pdf)
- **Leader... | jonathan-roberts1/SATIN | [
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"arxiv:2304.11619",
"region:us"
] | 2023-03-22T15:10:38+00:00 | {"language": ["en"], "license": "other", "size_categories": ["100K<n<1M"], "task_categories": ["image-classification", "zero-shot-image-classification"], "pretty_name": "SATellite ImageNet", "configs": [{"config_name": "SAT-4"}, {"config_name": "SAT-6"}, {"config_name": "NASC-TG2"}, {"config_name": "WHU-RS19"}, {"confi... | 2023-11-06T10:57:50+00:00 | [
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|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage: URL
- Repository:
- Paper: SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models
- Leaderboard: SATIN Leaderboard
### Dataset Summary
SATIN (SATellite ImageNet) is a metadataset containing 27 constituent sa... | [
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50e4e8f8de089bf40950ee043ebff51ad33b3ecb | # Dataset Card for Banc Trawsgrifiadau Bangor
This dataset is a bank of 20 hours 6 minutes and 49 seconds of segments of natural speech from over 50 contributors in mp3 file format, together with corresponding 'verbatim' transcripts of the speech in .tsv file format. The majority of the speech is spontaneous, natural ... | prvInSpace/banc-trawsgrifiadau-bangor | [
"task_categories:automatic-speech-recognition",
"size_categories:10K<n<100K",
"language:cy",
"license:cc0-1.0",
"region:us"
] | 2023-03-22T15:11:54+00:00 | {"language": ["cy"], "license": "cc0-1.0", "size_categories": ["10K<n<100K"], "task_categories": ["automatic-speech-recognition"]} | 2023-03-22T21:21:53+00:00 | [] | [
"cy"
] | TAGS
#task_categories-automatic-speech-recognition #size_categories-10K<n<100K #language-Welsh #license-cc0-1.0 #region-us
| # Dataset Card for Banc Trawsgrifiadau Bangor
This dataset is a bank of 20 hours 6 minutes and 49 seconds of segments of natural speech from over 50 contributors in mp3 file format, together with corresponding 'verbatim' transcripts of the speech in .tsv file format. The majority of the speech is spontaneous, natural ... | [
"# Dataset Card for Banc Trawsgrifiadau Bangor\n\nThis dataset is a bank of 20 hours 6 minutes and 49 seconds of segments of natural speech from over 50 contributors in mp3 file format, together with corresponding 'verbatim' transcripts of the speech in .tsv file format. The majority of the speech is spontaneous, n... | [
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c34331b5c52bce660d9e5e4227cb96669c9122c4 |
# Dataset Card for Alpaca MT
## Dataset Description
- **Homepage:** https://crfm.stanford.edu/2023/03/13/alpaca.html
- **Repository:** https://github.com/juletx/alpaca-lora-mt
- **Paper:**
- **Leaderboard:**
- **Point of Contact:** Rohan Taori
### Dataset Summary
Alpaca is a dataset of 52,000 instructions and de... | HiTZ/alpaca_mt | [
"task_categories:text-generation",
"task_ids:dialogue-modeling",
"annotations_creators:no-annotation",
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"size_categories:10K<n<100K",
"source_datasets:tatsu-lab/alpaca",
"language:en",
"language:pt... | 2023-03-22T15:27:30+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["machine-generated"], "language": ["en", "pt", "es", "ca", "eu", "gl", "at"], "license": "cc-by-nc-4.0", "multilinguality": ["multilingual", "translation"], "size_categories": ["10K<n<100K"], "source_datasets": ["tatsu-lab/alpaca"], "task_categories": ["... | 2023-04-07T14:15:55+00:00 | [] | [
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==========================
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper:
* Leaderboard:
* Point of Contact: Rohan Taori
### Dataset Summary
Alpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAI's 'text-davinci-003' engin... | [
"### Dataset Summary\n\n\nAlpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAI's 'text-davinci-003' engine. This instruction data can be used to conduct instruction-tuning for language models and make the language model follow instruction better. This dataset also includes machine-trans... | [
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d803052c924476522f88e44b8ce1e59d5bd74200 | # Dataset Card for "robotcombinedroboset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | homangab/robotcombinedroboset | [
"region:us"
] | 2023-03-22T15:30:52+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 83858508.0, "num_examples": 190}], "download_size": 10230491, "dataset_size": 83858508.0}} | 2023-03-22T15:33:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "robotcombinedroboset"
More Information needed | [
"# Dataset Card for \"robotcombinedroboset\"\n\nMore Information needed"
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b3b496e00a52fd99733f378494ef3f6e8a1e8b3c | # Dataset Card for "instructions-ar"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-ar | [
"region:us"
] | 2023-03-22T15:40:47+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1335708.4343484773, "num_examples": 1802}, {"name": "test", "num_bytes": 74864.90114827758, "num_examples": 101}, {"name": "validation", "num_bytes": 74123.66450324513, "num_e... | 2023-03-22T15:42:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-ar"
More Information needed | [
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46a61522c7cc8423e7be085a91cca76294e8225d | # Dataset Card for "instructions-bg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-bg | [
"region:us"
] | 2023-03-22T15:41:55+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1656280.9056415376, "num_examples": 1802}, {"name": "test", "num_bytes": 92832.6145781328, "num_examples": 101}, {"name": "validation", "num_bytes": 91913.47978032951, "num_ex... | 2023-03-22T15:42:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-bg"
More Information needed | [
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d5d4f5c0fbea37caeb8b7a29dc521caab6cae15a | # Dataset Card for "instructions-bn"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-bn | [
"region:us"
] | 2023-03-22T15:42:58+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2244818.7, "num_examples": 1791}, {"name": "test", "num_bytes": 125338.84422110552, "num_examples": 100}, {"name": "validation", "num_bytes": 124085.45577889447, "num_examples... | 2023-03-22T15:43:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-bn"
More Information needed | [
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410dc405ee624cd0f1f6368dc59505451981ac7b | # Dataset Card for "instructions-ca"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-ca | [
"region:us"
] | 2023-03-22T15:43:18+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 978054.1677483774, "num_examples": 1802}, {"name": "test", "num_bytes": 54818.796305541684, "num_examples": 101}, {"name": "validation", "num_bytes": 54276.035946080876, "num_... | 2023-03-22T15:43:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-ca"
More Information needed | [
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d4da63a894ff15bc597e26fab2c4590d4d44a2fb | # Dataset Card for "instructions-el"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-el | [
"region:us"
] | 2023-03-22T15:43:40+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1798844.0259610584, "num_examples": 1802}, {"name": "test", "num_bytes": 100823.1113330005, "num_examples": 101}, {"name": "validation", "num_bytes": 99824.8627059411, "num_ex... | 2023-03-22T15:43:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-el"
More Information needed | [
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5d225d37c358f1488440d0d2e0c236149299a7a2 | # Dataset Card for "instructions-et"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-et | [
"region:us"
] | 2023-03-22T15:43:59+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 880362.0, "num_examples": 1800}, {"name": "test", "num_bytes": 48909.0, "num_examples": 100}, {"name": "validation", "num_bytes": 48909.0, "num_examples": 100}], "download_siz... | 2023-03-22T15:44:20+00:00 | [] | [] | TAGS
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| # Dataset Card for "instructions-et"
More Information needed | [
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"# Dataset Card for \"instructions-et\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"instructions-et\"\n\nMore Information needed"
] |
d6fdc74817064effba1a10d76b8c00dcb33b6e59 | # Dataset Card for "instructions-fi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-fi | [
"region:us"
] | 2023-03-22T15:44:21+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 936328.3665338645, "num_examples": 1807}, {"name": "test", "num_bytes": 52334.900398406375, "num_examples": 101}, {"name": "validation", "num_bytes": 51816.73306772908, "num_e... | 2023-03-22T15:44:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-fi"
More Information needed | [
"# Dataset Card for \"instructions-fi\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"instructions-fi\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"instructions-fi\"\n\nMore Information needed"
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86943d963bac8c6b3be54c3edfa4f7c7d07eb5d5 | # Dataset Card for "instructions-ht"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-ht | [
"region:us"
] | 2023-03-22T15:44:40+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 849311.1, "num_examples": 1800}, {"name": "test", "num_bytes": 47183.95, "num_examples": 100}, {"name": "validation", "num_bytes": 47183.95, "num_examples": 100}], "download_s... | 2023-03-22T15:44:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-ht"
More Information needed | [
"# Dataset Card for \"instructions-ht\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"instructions-ht\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"instructions-ht\"\n\nMore Information needed"
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34e7d70744194a78afc60e7b080dffeea52a799e | # Dataset Card for "instructions-it"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-it | [
"region:us"
] | 2023-03-22T15:44:58+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 978621.3237195425, "num_examples": 1809}, {"name": "test", "num_bytes": 54638.33814022874, "num_examples": 101}, {"name": "validation", "num_bytes": 54638.33814022874, "num_ex... | 2023-03-22T15:45:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-it"
More Information needed | [
"# Dataset Card for \"instructions-it\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"instructions-it\"\n\nMore Information needed"
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6,
14
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"passage: TAGS\n#region-us \n# Dataset Card for \"instructions-it\"\n\nMore Information needed"
] |
1f0406d8bede5d4fb8ae46f6d1381e694b822ea1 | # Dataset Card for "instructions-ko"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-ko | [
"region:us"
] | 2023-03-22T15:45:16+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1016857.3512963904, "num_examples": 1770}, {"name": "test", "num_bytes": 56875.07219115404, "num_examples": 99}, {"name": "validation", "num_bytes": 56300.57651245552, "num_ex... | 2023-03-22T15:45:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-ko"
More Information needed | [
"# Dataset Card for \"instructions-ko\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"instructions-ko\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"instructions-ko\"\n\nMore Information needed"
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a5d60ae36e0c478f652ae4158482b3b0088ceadc | # Dataset Card for "instructions-sw"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-sw | [
"region:us"
] | 2023-03-22T15:45:33+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 917585.3073463269, "num_examples": 1800}, {"name": "test", "num_bytes": 51486.73113443278, "num_examples": 101}, {"name": "validation", "num_bytes": 50976.96151924038, "num_ex... | 2023-03-22T15:45:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-sw"
More Information needed | [
"# Dataset Card for \"instructions-sw\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"instructions-sw\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"instructions-sw\"\n\nMore Information needed"
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cdb1c6073c5a7f9eb03b0a91cd965a097f72bfd9 | # Dataset Card for "instructions-ta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-ta | [
"region:us"
] | 2023-03-22T15:45:51+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2612517.3091275846, "num_examples": 1784}, {"name": "test", "num_bytes": 146441.55320221887, "num_examples": 100}, {"name": "validation", "num_bytes": 144977.13767019668, "num... | 2023-03-22T15:46:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-ta"
More Information needed | [
"# Dataset Card for \"instructions-ta\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"instructions-ta\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"instructions-ta\"\n\nMore Information needed"
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5c841a7db791e37f22c463c17ed47a380dfeb6e2 | # Dataset Card for "instructions-tr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-tr | [
"region:us"
] | 2023-03-22T15:46:11+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 972793.8509566969, "num_examples": 1787}, {"name": "test", "num_bytes": 54437.26082578046, "num_examples": 100}, {"name": "validation", "num_bytes": 53892.88821752266, "num_ex... | 2023-03-22T15:46:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-tr"
More Information needed | [
"# Dataset Card for \"instructions-tr\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"instructions-tr\"\n\nMore Information needed"
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176e9d18a5e29ecb14b7236c99919e87061ad659 | # Dataset Card for "instructions-ur"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/instructions-ur | [
"region:us"
] | 2023-03-22T15:46:30+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1506793.1752371443, "num_examples": 1802}, {"name": "test", "num_bytes": 84454.00149775337, "num_examples": 101}, {"name": "validation", "num_bytes": 83617.82326510234, "num_e... | 2023-03-22T15:46:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instructions-ur"
More Information needed | [
"# Dataset Card for \"instructions-ur\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"instructions-ur\"\n\nMore Information needed"
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891b08ba95df9d2b590d2c876b680755771a48b3 | # Dataset Card for "thainer-corpus-v2"
Thai Named Entity Recognition Corpus
Home Page: [https://pythainlp.github.io/Thai-NER/version/2](https://pythainlp.github.io/Thai-NER/version/2)
Training script and split data: [https://zenodo.org/record/7761354](https://zenodo.org/record/7761354)
**You can download .conll to ... | pythainlp/thainer-corpus-v2 | [
"task_categories:token-classification",
"language:th",
"license:cc-by-3.0",
"region:us"
] | 2023-03-22T16:12:10+00:00 | {"language": ["th"], "license": "cc-by-3.0", "task_categories": ["token-classification"], "dataset_info": {"features": [{"name": "words", "sequence": "string"}, {"name": "ner", "sequence": {"class_label": {"names": {"0": "B-PERSON", "1": "I-PERSON", "2": "O", "3": "B-ORGANIZATION", "4": "B-LOCATION", "5": "I-ORGANIZATI... | 2023-03-23T05:23:46+00:00 | [] | [
"th"
] | TAGS
#task_categories-token-classification #language-Thai #license-cc-by-3.0 #region-us
| # Dataset Card for "thainer-corpus-v2"
Thai Named Entity Recognition Corpus
Home Page: URL
Training script and split data: URL
You can download .conll to train named entity model in URL
Size
- Train: 3,938 docs
- Validation: 1,313 docs
- Test: 1,313 Docs
Some data come from crowdsourcing between Dec 2018 - Nov 2... | [
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4a9d5eb7947786aafc0b10b7fc3964ec6ae3b1a1 |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-text/go in Semeru
# CodeXGLUE -- Code-To-Text
## Task Definition
The task is to generate natural language comments for a code, and eval... | semeru/code-text-go | [
"license:mit",
"arxiv:1909.09436",
"region:us"
] | 2023-03-22T16:24:12+00:00 | {"license": "mit", "Programminglanguage": "go", "version": "N/A", "Date": "Codesearchnet(Jun 2020 - paper release date)", "Contaminated": "Very Likely", "Size": "Standard Tokenizer (TreeSitter)"} | 2023-03-24T14:01:26+00:00 | [
"1909.09436"
] | [] | TAGS
#license-mit #arxiv-1909.09436 #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-text/go in Semeru
CodeXGLUE -- Code-To-Text
=========================
Task Definition
---------------
The ... | [
"### Dataset is imported from CodeXGLUE and pre-processed using their script.\n\n\nWhere to find in Semeru:\n========================\n\n\nThe dataset can be found at /nfs/semeru/semeru\\_datasets/code\\_xglue/code-to-text/go in Semeru\n\n\nCodeXGLUE -- Code-To-Text\n=========================\n\n\nTask Definition\n... | [
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b2053328fafdd018ff56cf1dfa9643caaa4e69b8 |
# VSR: Visual Spatial Reasoning
This is the **random set** of **VSR**: *Visual Spatial Reasoning* (TACL 2023) [[paper]](https://arxiv.org/abs/2205.00363).
### Usage
```python
from datasets import load_dataset
data_files = {"train": "train.jsonl", "dev": "dev.jsonl", "test": "test.jsonl"}
dataset = load_dataset("ca... | cambridgeltl/vsr_random | [
"task_categories:text-classification",
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"multimodality",
"vision-and-language",
"arxiv:2205.00363",
"region:us"
] | 2023-03-22T16:27:00+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification", "question-answering"], "pretty_name": "VSR (random split)", "tags": ["multimodality", "vision-and-language"]} | 2023-03-22T17:28:37+00:00 | [
"2205.00363"
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"en"
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|
# VSR: Visual Spatial Reasoning
This is the random set of VSR: *Visual Spatial Reasoning* (TACL 2023) [[paper]](URL
### Usage
Note that the image files still need to be downloaded separately. See 'data/' for details.
Go to our github repo for more introductions.
If you find VSR useful:
| [
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f73aa95d9ea6bfd39fd016e493a5591b5050acff |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-text/java in Semeru
# CodeXGLUE -- Code-To-Text
## Task Definition
The task is to generate natural language comments for a code, and ev... | semeru/code-text-java | [
"license:mit",
"arxiv:1909.09436",
"region:us"
] | 2023-03-22T16:28:40+00:00 | {"license": "mit", "Programminglanguage": "Java", "version": "N/A", "Date": "Codesearchnet(Jun 2020 - paper release date)", "Contaminated": "Very Likely", "Size": "Standard Tokenizer (TreeSitter)"} | 2023-03-23T20:10:55+00:00 | [
"1909.09436"
] | [] | TAGS
#license-mit #arxiv-1909.09436 #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-text/java in Semeru
CodeXGLUE -- Code-To-Text
=========================
Task Definition
---------------
Th... | [
"### Dataset is imported from CodeXGLUE and pre-processed using their script.\n\n\nWhere to find in Semeru:\n========================\n\n\nThe dataset can be found at /nfs/semeru/semeru\\_datasets/code\\_xglue/code-to-text/java in Semeru\n\n\nCodeXGLUE -- Code-To-Text\n=========================\n\n\nTask Definition... | [
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e63b00e6cedd664bb28f057f9518cd26604b105f |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-text/javascript in Semeru
# CodeXGLUE -- Code-To-Text
## Task Definition
The task is to generate natural language comments for a code, ... | semeru/code-text-javascript | [
"license:mit",
"arxiv:1909.09436",
"region:us"
] | 2023-03-22T16:31:18+00:00 | {"license": "mit", "Programminglanguage": "JavaScript", "version": "N/A", "Date": "Codesearchnet(Jun 2020 - paper release date)", "Contaminated": "Very Likely", "Size": "Standar Tokenizer (TreeSitter)"} | 2023-03-23T20:05:02+00:00 | [
"1909.09436"
] | [] | TAGS
#license-mit #arxiv-1909.09436 #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-text/javascript in Semeru
CodeXGLUE -- Code-To-Text
=========================
Task Definition
--------------... | [
"### Dataset is imported from CodeXGLUE and pre-processed using their script.\n\n\nWhere to find in Semeru:\n========================\n\n\nThe dataset can be found at /nfs/semeru/semeru\\_datasets/code\\_xglue/code-to-text/javascript in Semeru\n\n\nCodeXGLUE -- Code-To-Text\n=========================\n\n\nTask Defi... | [
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64544fa118dee5926543b1444f0e2ed4db1a403c |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-text/php in Semeru
# CodeXGLUE -- Code-To-Text
## Task Definition
The task is to generate natural language comments for a code, and eva... | semeru/code-text-php | [
"license:mit",
"arxiv:1909.09436",
"region:us"
] | 2023-03-22T16:32:44+00:00 | {"license": "mit", "Programminglanguage": "php", "version": "7 or later", "Date": "Codesearchnet(Jun 2020 - paper release date)", "Contaminated": "Very Likely", "Size": "Standar Tokenizer (TreeSitter)"} | 2023-03-23T20:01:10+00:00 | [
"1909.09436"
] | [] | TAGS
#license-mit #arxiv-1909.09436 #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-text/php in Semeru
CodeXGLUE -- Code-To-Text
=========================
Task Definition
---------------
The... | [
"### Dataset is imported from CodeXGLUE and pre-processed using their script.\n\n\nWhere to find in Semeru:\n========================\n\n\nThe dataset can be found at /nfs/semeru/semeru\\_datasets/code\\_xglue/code-to-text/php in Semeru\n\n\nCodeXGLUE -- Code-To-Text\n=========================\n\n\nTask Definition\... | [
"TAGS\n#license-mit #arxiv-1909.09436 #region-us \n",
"### Dataset is imported from CodeXGLUE and pre-processed using their script.\n\n\nWhere to find in Semeru:\n========================\n\n\nThe dataset can be found at /nfs/semeru/semeru\\_datasets/code\\_xglue/code-to-text/php in Semeru\n\n\nCodeXGLUE -- Code-... | [
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08eba3cbe72e6e738916678467f4daae0fbf6fcc |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-text/python in Semeru
# CodeXGLUE -- Code-To-Text
## Task Definition
The task is to generate natural language comments for a code, and ... | semeru/code-text-python | [
"license:mit",
"arxiv:1909.09436",
"region:us"
] | 2023-03-22T16:35:30+00:00 | {"license": "mit", "Programminglanguage": "python", "version": "2.7", "Date": "Codesearchnet(Jun 2020 - paper release date)", "Contaminated": "Very Likely", "Size": "Standar Tokenizer (TreeSitter)"} | 2023-03-23T18:46:18+00:00 | [
"1909.09436"
] | [] | TAGS
#license-mit #arxiv-1909.09436 #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-text/python in Semeru
CodeXGLUE -- Code-To-Text
=========================
Task Definition
---------------
... | [
"### Dataset is imported from CodeXGLUE and pre-processed using their script.\n\n\nWhere to find in Semeru:\n========================\n\n\nThe dataset can be found at /nfs/semeru/semeru\\_datasets/code\\_xglue/code-to-text/python in Semeru\n\n\nCodeXGLUE -- Code-To-Text\n=========================\n\n\nTask Definiti... | [
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287537613957da89a958acca990d1bff72ab7812 |
### Dataset is imported from CodeXGLUE and pre-processed using their script.
# Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-text/ruby in Semeru
# CodeXGLUE -- Code-To-Text
## Task Definition
The task is to generate natural language comments for a code, and ev... | semeru/code-text-ruby | [
"license:mit",
"arxiv:1909.09436",
"region:us"
] | 2023-03-22T16:37:57+00:00 | {"license": "mit", "Programminglanguage": "ruby", "version": "N/A", "Date": "Codesearchnet(Jun 2020 - paper release date)", "Contaminated": "Very Likely", "Size": "Standar Tokenizer (TreeSitter)"} | 2023-03-23T20:02:18+00:00 | [
"1909.09436"
] | [] | TAGS
#license-mit #arxiv-1909.09436 #region-us
| ### Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
========================
The dataset can be found at /nfs/semeru/semeru\_datasets/code\_xglue/code-to-text/ruby in Semeru
CodeXGLUE -- Code-To-Text
=========================
Task Definition
---------------
Th... | [
"### Dataset is imported from CodeXGLUE and pre-processed using their script.\n\n\nWhere to find in Semeru:\n========================\n\n\nThe dataset can be found at /nfs/semeru/semeru\\_datasets/code\\_xglue/code-to-text/ruby in Semeru\n\n\nCodeXGLUE -- Code-To-Text\n=========================\n\n\nTask Definition... | [
"TAGS\n#license-mit #arxiv-1909.09436 #region-us \n",
"### Dataset is imported from CodeXGLUE and pre-processed using their script.\n\n\nWhere to find in Semeru:\n========================\n\n\nThe dataset can be found at /nfs/semeru/semeru\\_datasets/code\\_xglue/code-to-text/ruby in Semeru\n\n\nCodeXGLUE -- Code... | [
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187,
104
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"passage: TAGS\n#license-mit #arxiv-1909.09436 #region-us \n### Dataset is imported from CodeXGLUE and pre-processed using their script.\n\n\nWhere to find in Semeru:\n========================\n\n\nThe dataset can be found at /nfs/semeru/semeru\\_datasets/code\\_xglue/code-to-text/ruby in Semeru\n\n\nCodeXGLUE -- C... |
148b3777ceef4a1bfe46377614980836db7d12f2 |
# VSR: Visual Spatial Reasoning
This is the **zero-shot set** of **VSR**: *Visual Spatial Reasoning* (TACL 2023) [[paper]](https://arxiv.org/abs/2205.00363).
### Usage
```python
from datasets import load_dataset
data_files = {"train": "train.jsonl", "dev": "dev.jsonl", "test": "test.jsonl"}
dataset = load_dataset(... | cambridgeltl/vsr_zeroshot | [
"task_categories:text-classification",
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0",
"multimodal",
"vision-and-language",
"arxiv:2205.00363",
"region:us"
] | 2023-03-22T16:42:17+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification", "question-answering"], "pretty_name": "VSR (zeroshot)", "tags": ["multimodal", "vision-and-language"]} | 2023-03-22T17:27:58+00:00 | [
"2205.00363"
] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-question-answering #size_categories-1K<n<10K #language-English #license-cc-by-4.0 #multimodal #vision-and-language #arxiv-2205.00363 #region-us
|
# VSR: Visual Spatial Reasoning
This is the zero-shot set of VSR: *Visual Spatial Reasoning* (TACL 2023) [[paper]](URL
### Usage
Note that the image files still need to be downloaded separately. See 'data/' for details.
Go to our github repo for more introductions.
If you find VSR useful:
| [
"# VSR: Visual Spatial Reasoning\n\nThis is the zero-shot set of VSR: *Visual Spatial Reasoning* (TACL 2023) [[paper]](URL",
"### Usage\n\n\n\nNote that the image files still need to be downloaded separately. See 'data/' for details.\n\nGo to our github repo for more introductions.\n\n\nIf you find VSR useful:"
] | [
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"# VSR: Visual Spatial Reasoning\n\nThis is the zero-shot set of VSR: *Visual Spatial Reasoning* (TACL 2... | [
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43f137fd58814dc0e4f633b11a614de75875f349 | # Disclaimer
This was inspired from https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions
# Dataset Card for A subset of Vivian Maier's photographs BLIP captions
The captions are generated with the [pre-trained BLIP model](https://github.com/salesforce/BLIP).
For each row the dataset contains `image` and `... | cQueenccc/Vivian-Blip-Captions | [
"task_categories:text-to-image",
"annotations_creators:machine-generated",
"size_categories:n<1K",
"language:en",
"region:us"
] | 2023-03-22T17:11:32+00:00 | {"annotations_creators": ["machine-generated"], "language": ["en"], "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 171055893.125, "num_examples": 1087... | 2023-03-22T17:45:08+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #annotations_creators-machine-generated #size_categories-n<1K #language-English #region-us
| # Disclaimer
This was inspired from URL
# Dataset Card for A subset of Vivian Maier's photographs BLIP captions
The captions are generated with the pre-trained BLIP model.
For each row the dataset contains 'image' and 'caption' keys. 'image' is a varying size PIL jpeg, and 'caption' is the accompanying text caption. ... | [
"# Disclaimer\nThis was inspired from URL",
"# Dataset Card for A subset of Vivian Maier's photographs BLIP captions\nThe captions are generated with the pre-trained BLIP model.\n\nFor each row the dataset contains 'image' and 'caption' keys. 'image' is a varying size PIL jpeg, and 'caption' is the accompanying t... | [
"TAGS\n#task_categories-text-to-image #annotations_creators-machine-generated #size_categories-n<1K #language-English #region-us \n",
"# Disclaimer\nThis was inspired from URL",
"# Dataset Card for A subset of Vivian Maier's photographs BLIP captions\nThe captions are generated with the pre-trained BLIP model.\... | [
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"passage: TAGS\n#task_categories-text-to-image #annotations_creators-machine-generated #size_categories-n<1K #language-English #region-us \n# Disclaimer\nThis was inspired from URL# Dataset Card for A subset of Vivian Maier's photographs BLIP captions\nThe captions are generated with the pre-trained BLIP model.\n\n... |
15914cde080b084e682696ac63a19a12048a3ea4 |
# Indonesian Alpaca Dataset
It's the Indonesian translation of [Alpaca Dataset](https://huggingface.co/datasets/tatsu-lab/alpaca)
| cahya/alpaca-id | [
"license:mit",
"region:us"
] | 2023-03-22T17:24:51+00:00 | {"license": "mit"} | 2023-03-22T17:28:51+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Indonesian Alpaca Dataset
It's the Indonesian translation of Alpaca Dataset
| [
"# Indonesian Alpaca Dataset\n\nIt's the Indonesian translation of Alpaca Dataset"
] | [
"TAGS\n#license-mit #region-us \n",
"# Indonesian Alpaca Dataset\n\nIt's the Indonesian translation of Alpaca Dataset"
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"passage: TAGS\n#license-mit #region-us \n# Indonesian Alpaca Dataset\n\nIt's the Indonesian translation of Alpaca Dataset"
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484c0a38825f28bc3421a2428c3982fead29877e |
In today's data-driven world, metrics are essential tools for measuring performance, tracking progress, and making informed decisions. With the ever-increasing volume of data generated by businesses, organizations, and individuals, it is becoming increasingly important to understand the different metrics available and... | alamshoaib134/Metrics-Dataset | [
"size_categories:1K<n<10K",
"region:us"
] | 2023-03-22T17:26:52+00:00 | {"size_categories": ["1K<n<10K"], "pretty_name": "Metrics "} | 2023-03-22T17:31:26+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #region-us
|
In today's data-driven world, metrics are essential tools for measuring performance, tracking progress, and making informed decisions. With the ever-increasing volume of data generated by businesses, organizations, and individuals, it is becoming increasingly important to understand the different metrics available and... | [] | [
"TAGS\n#size_categories-1K<n<10K #region-us \n"
] | [
18
] | [
"passage: TAGS\n#size_categories-1K<n<10K #region-us \n"
] |
5a0574ea122038ed5991a4178fe5e039dda6c07b | # AutoTrain Dataset for project: meme-classification
## Dataset Description
This dataset has been automatically processed by AutoTrain for project meme-classification.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as foll... | Hrishikesh332/autotrain-data-meme-classification | [
"task_categories:image-classification",
"region:us"
] | 2023-03-22T17:32:32+00:00 | {"task_categories": ["image-classification"]} | 2023-03-22T17:43:16+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: meme-classification
==================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project meme-classification.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Str... | [
"### 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-image-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-image-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 cal... |
01146c0e3b0dfab1f912e26a96e4becc90f58971 | QVHighlights | genjib/qvh | [
"region:us"
] | 2023-03-22T18:22:19+00:00 | {} | 2023-03-30T06:53:33+00:00 | [] | [] | TAGS
#region-us
| QVHighlights | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
cdf4f7162db8a9f29ea1ff122604760dd8aa8224 | # Dataset Card for "Names2chinese"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | marcus2000/Names2chinese | [
"region:us"
] | 2023-03-22T18:29:32+00:00 | {"dataset_info": {"features": [{"name": "English_name", "dtype": "string"}, {"name": "Chinese_name", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15768, "num_examples": 723}, {"name": "test", "num_bytes": 1409, "num_examples": 63}], "download_size": 15737, "dataset_size": 17177}} | 2023-03-22T18:36:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Names2chinese"
More Information needed | [
"# Dataset Card for \"Names2chinese\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Names2chinese\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Names2chinese\"\n\nMore Information needed"
] |
f79c070ef32015a7233a48d7a849a4476f3c8f32 |
# MORFITT
## Data ([Zenodo](https://zenodo.org/record/7893841#.ZFLFDnZBybg)) | Publication ([HAL](https://hal.science/hal-04131591/))
[Yanis LABRAK](https://www.linkedin.com/in/yanis-labrak-8a7412145/), [Richard DUFOUR](https://cv.hal.science/richard-dufour), [Mickaël ROUVIER](https://cv.hal.science/mickael-rouvier)... | qanastek/MORFITT | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:fr",
"license:apache-2.0",
"medical",
"biology",
"region:us"
] | 2023-03-22T18:42:06+00:00 | {"language": ["fr"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "pretty_name": "MORFITT", "tags": ["medical", "biology"]} | 2023-08-25T09:41:05+00:00 | [] | [
"fr"
] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-French #license-apache-2.0 #medical #biology #region-us
| MORFITT
=======
Data (Zenodo) | Publication (HAL)
---------------------------------
Yanis LABRAK, Richard DUFOUR, Mickaël ROUVIER
 | lab156/github-issues | [
"region:us"
] | 2023-03-22T19:23:40+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "body", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "comments", "sequence": "string"}, {"name": "pull_request", "struct": [{"name": "url", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "diff_u... | 2023-03-23T16:38:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "github-issues"
More Information needed | [
"# Dataset Card for \"github-issues\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"github-issues\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"github-issues\"\n\nMore Information needed"
] |
edb8bb825827ee7291ba2cd1dc71a0ace42a8070 | Hey there welcome to my image repo, Today I decided I wanted to compare different cfg and denoise values between models to see how each model is influenced
differently by different values. I used the same settings for each generation aside from cfg, denoise, model, and potentially Vae if a model has one baked in
(will... | Shreddertheman/Model_CFG_and_Denoise_Comaprisons | [
"region:us"
] | 2023-03-22T19:47:39+00:00 | {} | 2023-03-22T21:50:06+00:00 | [] | [] | TAGS
#region-us
| Hey there welcome to my image repo, Today I decided I wanted to compare different cfg and denoise values between models to see how each model is influenced
differently by different values. I used the same settings for each generation aside from cfg, denoise, model, and potentially Vae if a model has one baked in
(will... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
a91302f699b53177f31a7d3386f0b280b2fcd253 |
## Data Sources
### StackExchange
| Source | # |
|----------|:-------------:|
| 3dprinting.stackexchange.com.jsonl | 47 |
| academia.stackexchange.com.jsonl | 646 |
| ai.stackexchange.com.jsonl | 174 |
| android.stackexchange.com.jsonl | 289 |
| anime.stackexchange.com.jsonl | 248 |
| apple.stackexchange... | ds3lab/instructions | [
"language:en",
"region:us"
] | 2023-03-22T20:15:51+00:00 | {"language": ["en"], "pretty_name": "Open Instructions"} | 2023-03-22T23:53:27+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| Data Sources
------------
### StackExchange
Principles
----------
* StackExchange: for each site, find questions that: 1) score to the question is top 15% 2) contains accepted answer 3) score to accepted answer is top 15% 4) context length (i.e., body to the question) is longer than 384 characters 5) answer leng... | [
"### StackExchange\n\n\n\nPrinciples\n----------\n\n\n* StackExchange: for each site, find questions that: 1) score to the question is top 15% 2) contains accepted answer 3) score to accepted answer is top 15% 4) context length (i.e., body to the question) is longer than 384 characters 5) answer length (i.e., body ... | [
"TAGS\n#language-English #region-us \n",
"### StackExchange\n\n\n\nPrinciples\n----------\n\n\n* StackExchange: for each site, find questions that: 1) score to the question is top 15% 2) contains accepted answer 3) score to accepted answer is top 15% 4) context length (i.e., body to the question) is longer than 3... | [
10,
109
] | [
"passage: TAGS\n#language-English #region-us \n### StackExchange\n\n\n\nPrinciples\n----------\n\n\n* StackExchange: for each site, find questions that: 1) score to the question is top 15% 2) contains accepted answer 3) score to accepted answer is top 15% 4) context length (i.e., body to the question) is longer tha... |
58c6a2d74aff228b17f61e2d5d3ab8c0ceba344e |
NOTE:
This Datasets generated using Openai chatgpt same as alpaca dataset
please read openai terms or alpaca terms about license how can be used | acul3/instruct_id_chatgpt | [
"license:cc-by-4.0",
"region:us"
] | 2023-03-22T20:51:05+00:00 | {"license": "cc-by-4.0"} | 2023-03-22T21:01:01+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
NOTE:
This Datasets generated using Openai chatgpt same as alpaca dataset
please read openai terms or alpaca terms about license how can be used | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
] |
13310aeed49a2b5beb815877cf1283b140f031cd | # Dataset Card for "ia-loaded"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | davanstrien/ia-loaded | [
"region:us"
] | 2023-03-22T20:56:21+00:00 | {"dataset_info": {"features": [{"name": "crawl_date", "dtype": "int64"}, {"name": "last_modified_date", "dtype": "float64"}, {"name": "url", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "extension", "dtype": "string"}, {"name": "mime_type_web_server", "dtype": "string"}, {"name": "mime_type_tik... | 2023-03-22T23:05:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ia-loaded"
More Information needed | [
"# Dataset Card for \"ia-loaded\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ia-loaded\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ia-loaded\"\n\nMore Information needed"
] |
d8116eb4c5c5fb78329213e767b7579b434ab184 |
# SVO-Probes
This dataset comes from https://github.com/deepmind/svo_probes.
## Usage
```python
from datasets import load_dataset
# Note that the following line says "train" split, but there are actually no splits in this dataset.
dataset = load_dataset("MichiganNLP/svo_probes", split="train")
# To see an example... | MichiganNLP/svo_probes | [
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-03-22T20:57:44+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "pretty_name": "SVO-Probes"} | 2023-06-18T04:28:20+00:00 | [] | [
"en"
] | TAGS
#size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us
|
# SVO-Probes
This dataset comes from URL
## Usage
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3480355eae6553f91b5a89add1d0348510b616bf | # Dataset Card for Translating Python Programming Puzzles (TP3)
## Dataset Description
- **Repository:** [GitHub Repository](https://github.com/google-research/babelcode)
- **Paper:** [Measuring The Impact Of Programming Language Distribution](https://arxiv.org/abs/2302.01973)
### How To Use This Dataset
To use thi... | gabeorlanski/tp3 | [
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"task_categories:text2text-generation",
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| # Dataset Card for Translating Python Programming Puzzles (TP3)
## Dataset Description
- Repository: GitHub Repository
- Paper: Measuring The Impact Of Programming Language Distribution
### How To Use This Dataset
To use this dataset, you can either use the original BabelCode Repo, or you can use the 'bc_eval' Metr... | [
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fa83864c1d7966f4ead1eb1e64c91632020a1932 | # Dataset Card for "somos-alpaca-es"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dvilasuero/somos-alpaca-es | [
"region:us"
] | 2023-03-22T21:16:08+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "null"}, {"name": "inputs", "dtype": "null"}, {"name": "prediction", "dtype": "null"}, {"name": "prediction_agent", "dtype": "null"}, {"name": "annotation", "dtype": "null"}, {"name": "annotation_agent", "dtype": "null"}, {"name": "vectors", "dtype": "null"}, {"n... | 2023-03-23T23:41:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "somos-alpaca-es"
More Information needed | [
"# Dataset Card for \"somos-alpaca-es\"\n\nMore Information needed"
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26b2647d2649b6c9806ebbe0e2eb0e08cd07f151 | # Dataset Card for "somos-alpaca-es-rg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dvilasuero/somos-alpaca-es-rg | [
"region:us"
] | 2023-03-22T21:27:35+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "null"}, {"name": "inputs", "struct": [{"name": "1-instruction", "dtype": "string"}, {"name": "2-input", "dtype": "string"}, {"name": "3-output", "dtype": "string"}]}, {"name": "prediction", "dtype": "null"}, {"name": "prediction_agent", "dtype": "null"}, {"name"... | 2023-03-22T21:30:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "somos-alpaca-es-rg"
More Information needed | [
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635341e2952912dbefbd92b0603149898cee2d38 | # Dataset Card de "somos-alpaca-es"
Este conjunto de datos es una versión traducida del dataset Alpaca en Español.
Este conjunto de datos sirve como referencia para el esfuerzo colaborativo de limpieza y mejora del dataset durante el hackathon SomosNLP 2023.
Cuantas más personas y equipos participen mayor calidad f... | somosnlp/somos-alpaca-es | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:es",
"region:us"
] | 2023-03-22T21:35:52+00:00 | {"language": ["es"], "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "text", "dtype": "null"}, {"name": "inputs", "struct": [{"name": "1-instruction", "dtype": "string"}, {"name": "2-input", "dtype": "string"}, {"name": "3-output", "dtype": "string"}]}, ... | 2023-03-24T16:41:21+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-Spanish #region-us
| # Dataset Card de "somos-alpaca-es"
Este conjunto de datos es una versión traducida del dataset Alpaca en Español.
Este conjunto de datos sirve como referencia para el esfuerzo colaborativo de limpieza y mejora del dataset durante el hackathon SomosNLP 2023.
Cuantas más personas y equipos participen mayor calidad f... | [
"# Dataset Card de \"somos-alpaca-es\"\n\nEste conjunto de datos es una versión traducida del dataset Alpaca en Español. \n\nEste conjunto de datos sirve como referencia para el esfuerzo colaborativo de limpieza y mejora del dataset durante el hackathon SomosNLP 2023.\n\nCuantas más personas y equipos participen ma... | [
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c0cf38e4f91fa5226b0864000d4ead573fddf638 | # Dataset Card for "ia-loaded2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | davanstrien/ia-loaded2 | [
"region:us"
] | 2023-03-22T21:47:42+00:00 | {"dataset_info": {"features": [{"name": "crawl_date", "dtype": "int64"}, {"name": "last_modified_date", "dtype": "float64"}, {"name": "url", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "extension", "dtype": "string"}, {"name": "mime_type_web_server", "dtype": "string"}, {"name": "mime_type_tik... | 2023-03-23T13:56:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ia-loaded2"
More Information needed | [
"# Dataset Card for \"ia-loaded2\"\n\nMore Information needed"
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f33e78c242b0a83b343ac1eb13618fd7680e7e5d |
# Dataset Card for IMDB 3000 Sphere
- **Homepage:** [http://ai.stanford.edu/~amaas/data/sentiment/](http://ai.stanford.edu/~amaas/data/sentiment/)
## Dataset Summary
Large Movie Review Dataset.
This is a 3000 item selection from the `imdb` dataset for binary sentiment classification for use in the Sphere course on ... | enoreyes/imdb_3000_sphere | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
] | 2023-03-22T22:00:57+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "pretty_name": "imdb_3000"} | 2023-03-22T22:10:44+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-English #license-mit #region-us
|
# Dataset Card for IMDB 3000 Sphere
- Homepage: URL
## Dataset Summary
Large Movie Review Dataset.
This is a 3000 item selection from the 'imdb' dataset for binary sentiment classification for use in the Sphere course on AutoTrain.
## Dataset Structure
An example of 'train' looks as follows.
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35eb02ca7b378c4e03c60ee4e6ed01f76e96475e | # Dataset Card for "CIS6930_DAAGR_Empathetic_Dialogues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aegrif/CIS6930_DAAGR_Empathetic_Dialogues | [
"doi:10.57967/hf/0550",
"region:us"
] | 2023-03-22T22:20:20+00:00 | {"dataset_info": {"features": [{"name": "conv_id", "dtype": "string"}, {"name": "utterance_idx", "dtype": "int64"}, {"name": "context", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "utterance", "dtype": "string"}, {"name": "new_context", "dtype": "string"}, {"name": "previous_utterance", "dtype":... | 2023-03-27T22:10:22+00:00 | [] | [] | TAGS
#doi-10.57967/hf/0550 #region-us
| # Dataset Card for "CIS6930_DAAGR_Empathetic_Dialogues"
More Information needed | [
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ff603244295d216263e46bc7aa8acf5d1179f06e | # Dataset Card for "fungifutures2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pimentooliver/fungifutures2 | [
"region:us"
] | 2023-03-22T22:34:22+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3145618642.0, "num_examples": 998}], "download_size": 2160387541, "dataset_size": 3145618642.0}} | 2023-03-22T22:37:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fungifutures2"
More Information needed | [
"# Dataset Card for \"fungifutures2\"\n\nMore Information needed"
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96f22ed9c72a2ce3b29d5ea50efae881b782b390 | # Dataset Card for "fungi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pimentooliver/fungi | [
"region:us"
] | 2023-03-22T22:37:45+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 41590978.0, "num_examples": 841}], "download_size": 40501239, "dataset_size": 41590978.0}} | 2023-03-22T23:35:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fungi"
More Information needed | [
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3fcc21604145332e103014fa9b545d114a144ea4 | # Dataset Card for "ia-loaded-embedded-gpu"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | davanstrien/ia-loaded-embedded-gpu | [
"region:us"
] | 2023-03-22T23:14:56+00:00 | {"dataset_info": {"features": [{"name": "crawl_date", "dtype": "int64"}, {"name": "last_modified_date", "dtype": "float64"}, {"name": "url", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "extension", "dtype": "string"}, {"name": "mime_type_web_server", "dtype": "string"}, {"name": "mime_type_tik... | 2023-03-23T11:46:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ia-loaded-embedded-gpu"
More Information needed | [
"# Dataset Card for \"ia-loaded-embedded-gpu\"\n\nMore Information needed"
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b3b224330b2ba715c46ddfdd1778c47bbd9adc30 |
# Dataset Card
- **Homepage:** https://bit.ly/ischool-berkeley-capstone
- **Repository:** https://github.com/daniel-furman/Capstone
- **Point of Contact:** daniel_furman@berkeley.edu
## Dataset Summary
This is the dataset for **Polyglot or Not?: Measuring Multilingual Encyclopedic Knowledge Retrieval from Foundatio... | Polyglot-or-Not/Fact-Completion | [
"task_categories:text-generation",
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"size_categories:100K<n<1M",
"language:en",
"language:fr",
"language:es",
"language... | 2023-03-22T23:42:30+00:00 | {"language_creators": ["expert-generated", "machine-generated"], "language": ["en", "fr", "es", "de", "uk", "bg", "ca", "da", "hr", "hu", "it", "nl", "pl", "pt", "ro", "ru", "sl", "sr", "sv", "cs"], "license": "apache-2.0", "multilinguality": ["multilingual"], "size_categories": ["100K<n<1M"], "task_categories": ["text... | 2023-06-14T02:05:21+00:00 | [
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# Dataset Card
- Homepage: URL
- Repository: URL
- Point of Contact: daniel_furman@URL
## Dataset Summary
This is the dataset for Polyglot or Not?: Measuring Multilingual Encyclopedic Knowledge Retrieval from Foundation Language Models.
## Test Description
Given a factual association such as *The capital of Fran... | [
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488fdaf0aaa39c99ba7dd4b5bb6098b7fe6ae2d8 |
**==========================================**
**_IN PROGRESS - NOT READY FOR LOADING OR USE_**
**==========================================**
---
# Dataset Card for climate-fever-nli-stsb
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### D... | slhenty/climate-fever-nli-stsb | [
"license:unknown",
"region:us"
] | 2023-03-23T00:10:11+00:00 | {"license": "unknown", "viewer": false} | 2023-03-24T21:08:44+00:00 | [] | [] | TAGS
#license-unknown #region-us
| ==========================================
*IN PROGRESS - NOT READY FOR LOADING OR USE*
==========================================
---
Dataset Card for climate-fever-nli-stsb
=======================================
Dataset Description
-------------------
* Homepage:
* Repository:
* Paper:
* Leaderboard:
*... | [
"### Dataset Summary\n\n\nThe CLIMATE-FEVER dataset modified to supply NLI-style (cf-nli) features or STSb-style (cf-stsb) features that SentenceBERT training scripts can use as drop-in replacements for AllNLI and/or STSb datasets.\n\n\nThere are two cf-nli datasets: one derived from only SUPPORTS and REFUTES evide... | [
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70cde1a942c6bc687fa298acee7bf3c3af875172 | # Dataset Card for "boolq-ko"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nayohan/boolq-ko | [
"region:us"
] | 2023-03-23T00:40:44+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "answer", "dtype": "bool"}, {"name": "passage", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6349601, "num_examples": 9427}, {"name": "valid", "num_bytes": 2176494, "num_examples": 32... | 2023-03-23T00:41:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "boolq-ko"
More Information needed | [
"# Dataset Card for \"boolq-ko\"\n\nMore Information needed"
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849c9351310920cbf8462f2bca00f73287526b8a | # Dataset Card for "commonsense_qa-ko"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nayohan/commonsense_qa-ko | [
"region:us"
] | 2023-03-23T00:44:42+00:00 | {"dataset_info": {"features": [{"name": "stem", "dtype": "string"}, {"name": "label_A", "dtype": "string"}, {"name": "label_B", "dtype": "string"}, {"name": "label_C", "dtype": "string"}, {"name": "label_D", "dtype": "string"}, {"name": "label_E", "dtype": "string"}, {"name": "answerKey", "dtype": "string"}], "splits":... | 2023-03-23T00:45:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "commonsense_qa-ko"
More Information needed | [
"# Dataset Card for \"commonsense_qa-ko\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"commonsense_qa-ko\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"commonsense_qa-ko\"\n\nMore Information needed"
] |
3b550ae20bf5c1d6123a0e093e51311e055498e5 | # Dataset Card for "mrc_aihub_books"
[도서자료 기계독해](https://aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=92) | wisenut-nlp-team/aihub_mrc_books | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"task_ids:open-domain-qa",
"annotations_creators:crowdsourced",
"language_creators:found",
"size_categories:10M<n<100M",
"source_datasets:original",
"license:cc-by-4.0",
"mrc",
"region:us"
] | 2023-03-23T00:45:16+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": [], "license": ["cc-by-4.0"], "multilinguality": [], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa", "open-domain-qa"], "pretty_name": "wise... | 2023-05-23T23:31:29+00:00 | [] | [] | TAGS
#task_categories-question-answering #task_ids-extractive-qa #task_ids-open-domain-qa #annotations_creators-crowdsourced #language_creators-found #size_categories-10M<n<100M #source_datasets-original #license-cc-by-4.0 #mrc #region-us
| # Dataset Card for "mrc_aihub_books"
도서자료 기계독해 | [
"# Dataset Card for \"mrc_aihub_books\"\n\n도서자료 기계독해"
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] |
92fde701612b85562e56347b1f89f4b15543e619 | # Bank
The [Bank dataset](https://archive.ics.uci.edu/ml/datasets/bank+marketing) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
Potential clients are contacted by a bank during a second advertisement campaign.
This datasets records the customer, the interaction with the AD campaign, and if they... | mstz/bank | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"compas",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | 2023-03-23T00:56:08+00:00 | {"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["tabular-classification"], "pretty_name": "Bank", "tags": ["compas", "tabular_classification", "binary_classification", "UCI"], "configs": ["encoding", "subscription"]} | 2023-04-15T10:16:43+00:00 | [] | [
"en"
] | TAGS
#task_categories-tabular-classification #size_categories-1K<n<10K #language-English #compas #tabular_classification #binary_classification #UCI #region-us
| Bank
====
The Bank dataset from the UCI ML repository.
Potential clients are contacted by a bank during a second advertisement campaign.
This datasets records the customer, the interaction with the AD campaign, and if they subscribed to a proposed bank plan or not.
Configurations and tasks
========================
... | [] | [
"TAGS\n#task_categories-tabular-classification #size_categories-1K<n<10K #language-English #compas #tabular_classification #binary_classification #UCI #region-us \n"
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b306f5f77df7dc0dffce22451144f1e3801d519f | # Positive Psychology Frames
_Inducing Positive Perspectives with Text Reframing_
[[Read the Paper]](https://faculty.cc.gatech.edu/~dyang888/docs/acl22_reframing.pdf) | [[Download the Data]](https://www.dropbox.com/sh/pnoczmv0uyn51e6/AAAGek6yX12Yc4PA2RwtZeZKa?dl=0) | [[Demo]](https://huggingface.co/spaces/Ella2323/Po... | SALT-NLP/positive_reframing | [
"region:us"
] | 2023-03-23T01:33:32+00:00 | {} | 2023-03-23T01:36:18+00:00 | [] | [] | TAGS
#region-us
| # Positive Psychology Frames
_Inducing Positive Perspectives with Text Reframing_
[[Read the Paper]](URL | [[Download the Data]](URL | [[Demo]](URL
<img src="URL" alt="frontpage" width="650"/>
## *Why Positive Frames?*
This work was inspired by the need to escape the negative patterns of thinking that began to ov... | [
"# Positive Psychology Frames\n\n_Inducing Positive Perspectives with Text Reframing_\n\n[[Read the Paper]](URL | [[Download the Data]](URL | [[Demo]](URL\n\n<img src=\"URL\" alt=\"frontpage\" width=\"650\"/>",
"## *Why Positive Frames?* \n\nThis work was inspired by the need to escape the negative patterns of th... | [
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2f9a435a8ebb6869a3205374e414f1bb1c9848d5 |
# Introduction
These are chat logs and speech-to-text conversations obtained from Twitch channels of VTubers. All usernames have been masked with "[CHAT]" and username mentions with "@username".
VOD transcriptions are only added after prior consent of their respective streamer. | Differentiable/processed_chats | [
"language:en",
"license:bigscience-openrail-m",
"twitch",
"chat",
"region:us"
] | 2023-03-23T03:12:17+00:00 | {"language": ["en"], "license": "bigscience-openrail-m", "pretty_name": "twitch-vtuber-chat", "tags": ["twitch", "chat"]} | 2023-03-23T03:22:44+00:00 | [] | [
"en"
] | TAGS
#language-English #license-bigscience-openrail-m #twitch #chat #region-us
|
# Introduction
These are chat logs and speech-to-text conversations obtained from Twitch channels of VTubers. All usernames have been masked with "[CHAT]" and username mentions with "@username".
VOD transcriptions are only added after prior consent of their respective streamer. | [
"# Introduction\n\nThese are chat logs and speech-to-text conversations obtained from Twitch channels of VTubers. All usernames have been masked with \"[CHAT]\" and username mentions with \"@username\".\nVOD transcriptions are only added after prior consent of their respective streamer."
] | [
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18b2fcebb36f67771cd383a2deaea6b087b3233b | # Dataset Card for "starthack-supercell-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ogimgio/starthack-supercell-dataset | [
"region:us"
] | 2023-03-23T04:19:24+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Negative", "1": "Positive"}}}}], "splits": [{"name": "train", "num_bytes": 34103600.0, "num_examples": 206}, {"name": "validation", "num_bytes": 5764205.0, "num_examples": 35}], "download_size... | 2023-03-23T10:34:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "starthack-supercell-dataset"
More Information needed | [
"# Dataset Card for \"starthack-supercell-dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"starthack-supercell-dataset\"\n\nMore Information needed"
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18
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"passage: TAGS\n#region-us \n# Dataset Card for \"starthack-supercell-dataset\"\n\nMore Information needed"
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92faa38f4657aee08a17313599379834ac9e0256 | dataset_info:
features:
- name: url
dtype: string
- name: repository_url
dtype: string
- name: labels_url
dtype: string
- name: comments_url
dtype: string
- name: events_url
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: stri... | yangwooko/github-issues | [
"task_categories:text-classification",
"task_ids:semantic-similarity-classification",
"task_ids:sentiment-classification",
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"region:us"
] | 2023-03-23T04:22:45+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["semantic-similarity-classification", "sentiment-classification"], "pretty_name": "git... | 2023-03-23T04:47:27+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-semantic-similarity-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-n<1K #language-English #region-us
| dataset_info:
features:
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dtype: string
- name: repository_url
dtype: string
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dtype: string
- name: comments_url
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- name: events_url
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: stri... | [
"# Dataset Card for \"github-issues\"\n\nMore Information needed"
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"TAGS\n#task_categories-text-classification #task_ids-semantic-similarity-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-n<1K #language-English #region-us \n",
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] |
8e46706c832692f64a89077026def70d28658984 | # Dataset Card for "es-en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dandrade/es-en | [
"region:us"
] | 2023-03-23T05:44:44+00:00 | {"dataset_info": {"features": [{"name": "ES", "dtype": "string"}, {"name": "EN", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1236977.6, "num_examples": 3200}, {"name": "test", "num_bytes": 309244.4, "num_examples": 800}], "download_size": 931996, "dataset_size": 1546222.0}} | 2023-03-23T05:44:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "es-en"
More Information needed | [
"# Dataset Card for \"es-en\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"es-en\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"es-en\"\n\nMore Information needed"
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c9131d3c9a7e41f476aaeed478b45ee6ac73e2b2 | # Dataset Card for "imagenet-1k_mini_100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | theodor1289/imagenet-1k_tiny | [
"region:us"
] | 2023-03-23T08:14:03+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "tench, Tinca tinca", "1": "goldfish, Carassius auratus", "2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias", "3": "tiger shark, Galeocerdo cuvieri", "4"... | 2023-03-23T08:14:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "imagenet-1k_mini_100"
More Information needed | [
"# Dataset Card for \"imagenet-1k_mini_100\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"imagenet-1k_mini_100\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"imagenet-1k_mini_100\"\n\nMore Information needed"
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a77b24f55a1e194c3551e10aee328c94162c74b4 | # AutoTrain Dataset for project: tree-classification
## Dataset Description
This dataset has been automatically processed by AutoTrain for project tree-classification.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as foll... | OttoYu/TreeDemoData | [
"task_categories:image-classification",
"region:us"
] | 2023-03-23T08:39:39+00:00 | {"task_categories": ["image-classification"]} | 2023-03-23T08:59:09+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: tree-classification
==================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project tree-classification.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Str... | [
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"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
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18c49d53fcf0c04e36543a434b323bfd5245d526 | # The CoreSearch Dataset
A cleaner version of the CoreSearch dataset</br>
## Cleaning done in this version
Below examples of fixes done in this dataset version
### Fix event mention spans
| Before Span Fix | After Span Fix |
| :------ | :----- |
| Academy Awards 65th ceremony | Academy Awards |
| 65th Annual... | biu-nlp/CoreSearchV2 | [
"arxiv:2210.12654",
"region:us"
] | 2023-03-23T08:44:13+00:00 | {} | 2023-03-23T09:36:41+00:00 | [
"2210.12654"
] | [] | TAGS
#arxiv-2210.12654 #region-us
| The CoreSearch Dataset
======================
A cleaner version of the CoreSearch dataset
Cleaning done in this version
-----------------------------
Below examples of fixes done in this dataset version
### Fix event mention spans
### Resolve cases of two events in a single span
### Remove erroneous event... | [
"### Fix event mention spans",
"### Resolve cases of two events in a single span",
"### Remove erroneous event mentions (Entities)\n\n\n\n* Paper: Cross-document Event Coreference Search: Task, Dataset and Modeling",
"### Languages\n\n\nEnglish\n\n\nLoad Dataset\n------------\n\n\nYou can read/download the da... | [
"TAGS\n#arxiv-2210.12654 #region-us \n",
"### Fix event mention spans",
"### Resolve cases of two events in a single span",
"### Remove erroneous event mentions (Entities)\n\n\n\n* Paper: Cross-document Event Coreference Search: Task, Dataset and Modeling",
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920a7d8f9c36ac9cec74a390f01d66ce26c0c770 | # Dataset Card for "emr_instruction_response"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arfu/emr_instruction_response | [
"region:us"
] | 2023-03-23T08:55:19+00:00 | {"dataset_info": {"features": [{"name": "instructions", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1383248.0, "num_examples": 360}, {"name": "test", "num_bytes": 345812.0, "num_examples": 90}], "download_size": 598465, "dataset_size": 1729060.0}} | 2023-03-23T08:55:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emr_instruction_response"
More Information needed | [
"# Dataset Card for \"emr_instruction_response\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emr_instruction_response\"\n\nMore Information needed"
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391dc3cc316882d33473239f1f82ef3ab278a739 | # Dataset Card for "Babelscape-wikineural-joined-small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dmargutierrez/Babelscape-wikineural-joined-small | [
"region:us"
] | 2023-03-23T09:08:11+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": "int64"}, {"name": "lang", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 101040326.0, "num_examples": 267680}, {"name": "validation", "num_bytes": 12193180.0, "num_examples": 33460}, {"name": "test... | 2023-03-23T09:08:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Babelscape-wikineural-joined-small"
More Information needed | [
"# Dataset Card for \"Babelscape-wikineural-joined-small\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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3515d71e9bd0120edceda41c78828752cd165d5d | ### Dataset Summary
This dataset is based on [olm/wikipedia](https://huggingface.co/datasets/olm/wikipedia).
The main difference is that we add `Section::::` prefix to each section title to keep the section structure information.
We also use `:` to join the hierarchical section titles.
Following is an example.
```tex... | intfloat/wikipedia | [
"size_categories:100M<n<1B",
"region:us"
] | 2023-03-23T09:12:08+00:00 | {"size_categories": ["100M<n<1B"]} | 2023-04-23T07:36:49+00:00 | [] | [] | TAGS
#size_categories-100M<n<1B #region-us
| ### Dataset Summary
This dataset is based on olm/wikipedia.
The main difference is that we add 'Section::::' prefix to each section title to keep the section structure information.
We also use ':' to join the hierarchical section titles.
Following is an example.
### Data Fields
- 'title': a 'string' feature.
- 'te... | [
"### Dataset Summary\n\nThis dataset is based on olm/wikipedia.\nThe main difference is that we add 'Section::::' prefix to each section title to keep the section structure information.\nWe also use ':' to join the hierarchical section titles.\n\nFollowing is an example.",
"### Data Fields\n\n- 'title': a 'string... | [
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d726613c403302b4e6a28843f8b3eb9fb584274e | # Breast cancer
The [Breast cancer dataset](https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Original%29) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
Classify cancerousness of the given cell.
# Configurations and tasks
| **Configuration** | **Task** | Descr... | mstz/breast | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"breast",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | 2023-03-23T09:31:30+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["n<1K"], "task_categories": ["tabular-classification"], "pretty_name": "Breast", "tags": ["breast", "tabular_classification", "binary_classification", "UCI"], "configs": ["cancer"]} | 2023-04-16T15:47:59+00:00 | [] | [
"en"
] | TAGS
#task_categories-tabular-classification #size_categories-n<1K #language-English #license-cc #breast #tabular_classification #binary_classification #UCI #region-us
| Breast cancer
=============
The Breast cancer dataset from the UCI ML repository.
Classify cancerousness of the given cell.
Configurations and tasks
========================
Configuration: cancer, Task: Binary classification, Description: Is the cell clump cancerous?
Usage
=====
Features
========
Name: 'clu... | [] | [
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ada2afe72f645094fadc5c6a0471f5abb66153af | # Dataset Card for "Aladdin"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | k0ntra/Aladdin | [
"region:us"
] | 2023-03-23T09:47:35+00:00 | {"dataset_info": {"features": [{"name": "0", "dtype": "float32"}, {"name": "1", "dtype": "float32"}, {"name": "2", "dtype": "float32"}, {"name": "3", "dtype": "float32"}, {"name": "4", "dtype": "float32"}, {"name": "5", "dtype": "float32"}, {"name": "6", "dtype": "float32"}, {"name": "7", "dtype": "float32"}, {"name": ... | 2023-03-23T12:21:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Aladdin"
More Information needed | [
"# Dataset Card for \"Aladdin\"\n\nMore Information needed"
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1d63652e5f4b8a88c0c18ee294bdf671fe1aed4e | # Dataset Card for "github-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | NickHai/github-issues | [
"region:us"
] | 2023-03-23T09:54:21+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "repository_url", "dtype": "string"}, {"name": "labels_url", "dtype": "string"}, {"name": "comments_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "int64"}, ... | 2023-03-23T10:34:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "github-issues"
More Information needed | [
"# Dataset Card for \"github-issues\"\n\nMore Information needed"
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de222d434e26379aa3d4f3dd1b2caf502427a8b2 | The complete dataset is available [here](https://huggingface.co/datasets/DarthReca/california_burned_areas). Please refer to that if you want to use these data. | chabud-team/chabud-ecml-pkdd2023 | [
"region:us"
] | 2023-03-23T10:19:22+00:00 | {} | 2023-09-13T11:53:50+00:00 | [] | [] | TAGS
#region-us
| The complete dataset is available here. Please refer to that if you want to use these data. | [] | [
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223a177720ddb7e2534ef6b1d9182b946ca0a114 | # 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/hugg... | abhi28577/nennepedia | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"license:openrail",
"region:us"
] | 2023-03-23T10:55:02+00:00 | {"language": ["en"], "license": "openrail", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "pretty_name": "nennepedia"} | 2023-06-24T07:27:44+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-n<1K #language-English #license-openrail #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
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d89b2820082181e638eafeb0a562fef2f3feb8b5 | Lazy dataset of Azur Lane ironblood ship rigs with lazily pruned tags and 'Ironblood' as activation tag. | FireZealot/AL_Ironblood_rigging | [
"region:us"
] | 2023-03-23T10:57:16+00:00 | {} | 2023-03-23T11:00:43+00:00 | [] | [] | TAGS
#region-us
| Lazy dataset of Azur Lane ironblood ship rigs with lazily pruned tags and 'Ironblood' as activation tag. | [] | [
"TAGS\n#region-us \n"
] | [
6
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93a7d4088bad372aff5357bfde5a5f0fa00d5ade |
Dataset generated from Cyrillic train set using ScrabbleGAN
======================================================
Number of images: 300000
Sources:
* [Cyrillic dataset](https://www.kaggle.com/datasets/constantinwerner/cyrillic-handwriting-dataset)
* [ScrabbleGAN code](https://github.com/ai-forever/ScrabbleGAN) | nastyboget/gan_cyrillic | [
"task_categories:image-to-text",
"size_categories:100K<n<1M",
"language:ru",
"license:mit",
"region:us"
] | 2023-03-23T11:08:05+00:00 | {"language": ["ru"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["image-to-text"]} | 2023-03-23T18:46:01+00:00 | [] | [
"ru"
] | TAGS
#task_categories-image-to-text #size_categories-100K<n<1M #language-Russian #license-mit #region-us
|
Dataset generated from Cyrillic train set using ScrabbleGAN
======================================================
Number of images: 300000
Sources:
* Cyrillic dataset
* ScrabbleGAN code | [] | [
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122baf7f11ad5ec6192038d9351cb8f3f500b7bf | # German
The [German dataset](https://archive.ics.uci.edu/ml/datasets/Statlog+%28German+Credit+Data%29) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
Dataset on loan grants to customers.
# Configurations and tasks
| **Configuration** | **Task** | Description ... | mstz/german | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"breast",
"tabular_classification",
"binary_classification",
"region:us"
] | 2023-03-23T11:32:15+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["n<1K"], "task_categories": ["tabular-classification"], "pretty_name": "German", "tags": ["breast", "tabular_classification", "binary_classification"], "configs": ["encoding", "loan"]} | 2023-04-16T16:28:54+00:00 | [] | [
"en"
] | TAGS
#task_categories-tabular-classification #size_categories-n<1K #language-English #license-cc #breast #tabular_classification #binary_classification #region-us
| German
======
The German dataset from the UCI ML repository.
Dataset on loan grants to customers.
Configurations and tasks
========================
Configuration: encoding, Task: , Description: Encoding dictionary showing original values of encoded features.
Configuration: loan, Task: Binary classification, Descr... | [] | [
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a97716df74a1598981ab821aef52d08ea75f4e8c | # Dataset Card for "tib-wip-filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gigant/tib-wip-filtered | [
"region:us"
] | 2023-03-23T12:28:05+00:00 | {"dataset_info": {"features": [{"name": "doi", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "video_url", "dtype": "string"}, {"name": "license", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "genre", "dtype": "string"}, {"name": "release_y... | 2023-03-23T12:28:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tib-wip-filtered"
More Information needed | [
"# Dataset Card for \"tib-wip-filtered\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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3f78a00cf2503a5f190f319d9183cde76515fc8d | # Dataset Card for "stars"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | open-source-metrics/stars | [
"region:us"
] | 2023-03-23T12:51:59+00:00 | {"dataset_info": {"features": [{"name": "login", "dtype": "string"}, {"name": "dates", "dtype": "string"}], "splits": [{"name": "transformers", "num_bytes": 4484080, "num_examples": 120154}, {"name": "peft", "num_bytes": 465816, "num_examples": 12524}, {"name": "evaluate", "num_bytes": 64197, "num_examples": 1714}, {"n... | 2024-02-15T13:20:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "stars"
More Information needed | [
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2f7e828658d33a0e8aca4b2f9f4ccb26e27ac32f |
This is a cleaned and splitted version of this dataset (https://www.kaggle.com/datasets/sadikaljarif/fake-news-detection-dataset-english) <br>
Labels:
- Fake News: 0
- Real News: 1
<br>
You can find the cleansing script at: https://github.com/ErfanMoosaviMonazzah/Fake-News-Detection | ErfanMoosaviMonazzah/fake-news-detection-dataset-English | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"license:openrail",
"fake news",
"text classification",
"region:us"
] | 2023-03-23T12:55:15+00:00 | {"language": ["en"], "license": "openrail", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "Fake News Detection Dataset (English)", "tags": ["fake news", "text classification"]} | 2023-03-23T13:05:33+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-openrail #fake news #text classification #region-us
|
This is a cleaned and splitted version of this dataset (URL <br>
Labels:
- Fake News: 0
- Real News: 1
<br>
You can find the cleansing script at: URL | [] | [
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dd872875d9b273b48162e9b8a7734ec729457e26 | # Dataset Card for "tib_2303_filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gigant/tib_2303_filtered | [
"region:us"
] | 2023-03-23T13:33:55+00:00 | {"dataset_info": {"features": [{"name": "doi", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "video_url", "dtype": "string"}, {"name": "license", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "genre", "dtype": "string"}, {"name": "release_y... | 2023-03-23T13:34:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tib_2303_filtered"
More Information needed | [
"# Dataset Card for \"tib_2303_filtered\"\n\nMore Information needed"
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aa2d5aba694f1ff25fc018e449f9d3f82050734a | # Dataset Card for "chainreaction"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | k0ntra/chainreaction | [
"region:us"
] | 2023-03-23T13:53:44+00:00 | {"dataset_info": {"features": [{"name": "0", "dtype": "float32"}, {"name": "1", "dtype": "float32"}, {"name": "2", "dtype": "float32"}, {"name": "3", "dtype": "float32"}, {"name": "4", "dtype": "float32"}, {"name": "5", "dtype": "float32"}, {"name": "6", "dtype": "float32"}, {"name": "7", "dtype": "float32"}, {"name": ... | 2023-03-23T13:53:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chainreaction"
More Information needed | [
"# Dataset Card for \"chainreaction\"\n\nMore Information needed"
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83218545470d54d6caea5081510786f54e21862d | # HELOC
The [HELOC dataset](https://community.fico.com/s/explainable-machine-learning-challenge?tabset-158d9=d157e) from FICO.
Each entry in the dataset is a line of credit, typically offered by a bank as a percentage of home equity (the difference between the current market value of a home and its purchase price).
The... | mstz/heloc | [
"task_categories:tabular-classification",
"size_categories:10K<n<100K",
"language:en",
"license:cc",
"heloc",
"fico",
"tabular_classification",
"binary_classification",
"region:us"
] | 2023-03-23T14:08:41+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["10K<n<100K"], "task_categories": ["tabular-classification"], "pretty_name": "Heloc", "tags": ["heloc", "fico", "tabular_classification", "binary_classification"], "configs": ["risk"]} | 2023-04-07T12:57:28+00:00 | [] | [
"en"
] | TAGS
#task_categories-tabular-classification #size_categories-10K<n<100K #language-English #license-cc #heloc #fico #tabular_classification #binary_classification #region-us
| HELOC
=====
The HELOC dataset from FICO.
Each entry in the dataset is a line of credit, typically offered by a bank as a percentage of home equity (the difference between the current market value of a home and its purchase price).
The customers in this dataset have requested a credit line in the range of $5,000 - $15... | [] | [
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19d42bc5f6abd604a62eac2884e6f00bc564eb5f | # Dataset Card for "un_corpus_for_sitemap_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ranWang/un_corpus_for_sitemap_test | [
"region:us"
] | 2023-03-23T14:27:54+00:00 | {"dataset_info": {"features": [{"name": "uuid", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "news_content", "sequence": {"sequence": {"sequence": "string"}}}, {"name": "html_content", "dtype": "string"}], "splits": [{"name": "ar", "num_bytes": 4731475832, "num_... | 2023-03-24T04:54:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "un_corpus_for_sitemap_test"
More Information needed | [
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b7b9fe926d86de3af69b03ca3a958cb5cdea694b | # AutoTrain Dataset for project: clasificacion_pisicinas
## Dataset Description
This dataset has been automatically processed by AutoTrain for project clasificacion_pisicinas.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks... | Eredim/autotrain-data-clasificacion_pisicinas | [
"task_categories:image-classification",
"region:us"
] | 2023-03-23T14:56:30+00:00 | {"task_categories": ["image-classification"]} | 2023-04-05T21:54:31+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: clasificacion\_pisicinas
=======================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project clasificacion\_pisicinas.
### Languages
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4917d103f0fba3ca908afcd0e71cfd34fdf358a7 | This repository contains the results of all experiments (inlcuding every single hyperparameter run) reported in the following paper:
Orhan AE (2023) [Recognition, recall, and retention of few-shot memories in large language models.](https://arxiv.org/abs/2303.17557) arXiv:2303.17557.
A brief description of the direct... | eminorhan/llm-memory | [
"license:mit",
"arxiv:2303.17557",
"region:us"
] | 2023-03-23T16:07:14+00:00 | {"license": "mit"} | 2023-03-30T23:38:46+00:00 | [
"2303.17557"
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#license-mit #arxiv-2303.17557 #region-us
| This repository contains the results of all experiments (inlcuding every single hyperparameter run) reported in the following paper:
Orhan AE (2023) Recognition, recall, and retention of few-shot memories in large language models. arXiv:2303.17557.
A brief description of the directories included in this repository:
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3da934c15607c511a32c358258b1badc390fabbd |
File list:
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"c4-en-html_cc-main... | masoudjs/c4-en-html-with-metadata-ppl-clean | [
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0414b39bfc39b2d555b48fa245fc198744c46215 | https://whyu.me/reclor/
```bib
@inproceedings{yu2020reclor,
author = {Yu, Weihao and Jiang, Zihang and Dong, Yanfei and Feng, Jiashi},
title = {ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning},
booktitle = {International Conference on Learning Representations (ICLR)},
... | metaeval/reclor | [
"language:en",
"license:other",
"region:us"
] | 2023-03-23T16:31:55+00:00 | {"language": ["en"], "license": "other"} | 2023-05-31T08:59:42+00:00 | [] | [
"en"
] | TAGS
#language-English #license-other #region-us
| URL
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3951afb02bff436933c2eb8095d7ccd185ff8f25 | # Dataset Card for "UA_speech_noisereduced_CM04_M04"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AravindVadlapudi02/UA_speech_noisereduced_CM04_M04 | [
"region:us"
] | 2023-03-23T16:58:33+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "healthy control", "1": "pathology"}}}}, {"name": "input_features", "sequence": {"sequence": "float32"}}], "splits": [{"name": "train", "num_bytes": 384132800, "num_examples": 400}, {"name": "test", "num_bytes": 4983162748, "num_e... | 2023-03-23T17:02:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UA_speech_noisereduced_CM04_M04"
More Information needed | [
"# Dataset Card for \"UA_speech_noisereduced_CM04_M04\"\n\nMore Information needed"
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707102c719ed7f0a45df09497d1ff2e2681c82b2 | # Computer Science Named Entity Recognition in the Open Research Knowledge Graph (CS-NER dataset)
### 1) About
This work proposes a standardized CS-NER task by defining a set of seven _contribution-centric_ scholarly
entities for CS NER viz., _research problem_ , _solution_ , _resource_ , _language_ ,
_tool_ , _metho... | jxhzxn/contributions-ner-cs | [
"region:us"
] | 2023-03-23T17:35:04+00:00 | {} | 2023-03-23T18:39:33+00:00 | [] | [] | TAGS
#region-us
| Computer Science Named Entity Recognition in the Open Research Knowledge Graph (CS-NER dataset)
===============================================================================================
### 1) About
This work proposes a standardized CS-NER task by defining a set of seven *contribution-centric* scholarly
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e14570067465ee79b6f787f7198b75087489a1d4 | # Dataset Card for "UA_speech_noisereduced_CM12_M11"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AravindVadlapudi02/UA_speech_noisereduced_CM12_M11 | [
"region:us"
] | 2023-03-23T17:49:47+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "healthy control", "1": "pathology"}}}}, {"name": "input_features", "sequence": {"sequence": "float32"}}], "splits": [{"name": "train", "num_bytes": 384132800, "num_examples": 400}, {"name": "test", "num_bytes": 4983162748, "num_e... | 2023-03-23T17:51:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UA_speech_noisereduced_CM12_M11"
More Information needed | [
"# Dataset Card for \"UA_speech_noisereduced_CM12_M11\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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884c0b2380b04235c3c38788c7ac47478d4ab96d | Combination of English Wikipedia and Simple Wikipedia, from the `wikipedia` dataset on HuggingFace.
## License Info
"Most of Wikipedia's text and many of its images are co-licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License (CC BY-SA) and the GNU Free Documentation License (GFDL) (unversion... | andersonbcdefg/combined_en_wikipedia | [
"license:other",
"region:us"
] | 2023-03-23T18:20:25+00:00 | {"license": "other"} | 2023-03-23T22:38:23+00:00 | [] | [] | TAGS
#license-other #region-us
| Combination of English Wikipedia and Simple Wikipedia, from the 'wikipedia' dataset on HuggingFace.
## License Info
"Most of Wikipedia's text and many of its images are co-licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License (CC BY-SA) and the GNU Free Documentation License (GFDL) (unversion... | [
"## License Info\n\"Most of Wikipedia's text and many of its images are co-licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License (CC BY-SA) and the GNU Free Documentation License (GFDL) (unversioned, with no invariant sections, front-cover texts, or back-cover texts). Some text has been i... | [
"TAGS\n#license-other #region-us \n",
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38c83eb97e5ed5f4375f22c5e50615e8107a9e51 | # Dataset Card for "la_en_aeneid_holdout"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | grosenthal/la_en_aeneid_holdout | [
"region:us"
] | 2023-03-23T18:45:29+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "la", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "file", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37702700.38548382, "num_examples": 97437}, {"name": "test", "num_bytes": 388099.6420118343, "num_examples... | 2023-03-23T18:46:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "la_en_aeneid_holdout"
More Information needed | [
"# Dataset Card for \"la_en_aeneid_holdout\"\n\nMore Information needed"
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60517de6058c356db813b0969e3e22fe89965356 | # Dataset Card for "ce-aesthetics-a2z"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | previsone/ce-aesthetics-a2z | [
"region:us"
] | 2023-03-23T19:13:48+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 126654282.663, "num_examples": 3837}], "download_size": 86045928, "dataset_size": 126654282.663}} | 2023-03-23T19:49:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ce-aesthetics-a2z"
More Information needed | [
"# Dataset Card for \"ce-aesthetics-a2z\"\n\nMore Information needed"
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50cf8973a52af7b4444ebc5dcbb5522b4dda69e8 | # Dataset Card for "gen-qm-17000"
### Dataset Summary
Dataset for converting request into query and extracting model name.
DEV/VAL/TEST: 90/10/10
SIZE: 17000
### Supported Tasks and Leaderboards
The tasks represented in GEN-QM cover a text2text generation for producing qureries based on request or extracting mode... | dkuntso/gen-qm-17000 | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-03-23T19:29:27+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "pretty_name": "Generate Query/Model from Request 15000/1000/1000", "dataset_info": {"features": [{"name": "utterance", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name":... | 2023-03-24T21:51:38+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
| # Dataset Card for "gen-qm-17000"
### Dataset Summary
Dataset for converting request into query and extracting model name.
DEV/VAL/TEST: 90/10/10
SIZE: 17000
### Supported Tasks and Leaderboards
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23c07577ae7d98d696806b794289926673929de6 | # Dataset Card for "rvl_cdip_100_examples_per_class"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jordyvl/rvl_cdip_100_examples_per_class | [
"region:us"
] | 2023-03-23T19:58:02+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "letter", "1": "form", "2": "email", "3": "handwritten", "4": "advertisement", "5": "scientific report", "6": "scientific publication", "7": "specification", "8": "file folder", "9": "news arti... | 2023-03-23T20:55:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rvl_cdip_100_examples_per_class"
More Information needed | [
"# Dataset Card for \"rvl_cdip_100_examples_per_class\"\n\nMore Information needed"
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d427aa9782e70e6a9e5e31610469b5a06d9bab68 | For LXMERT model fine-tuning on airsim imagery. | mperic/lxmert-airsim | [
"region:us"
] | 2023-03-23T21:44:25+00:00 | {} | 2023-03-23T21:48:42+00:00 | [] | [] | TAGS
#region-us
| For LXMERT model fine-tuning on airsim imagery. | [] | [
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