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e588137481883d507f05cb1b4759d20d53ffbf10 |
Currently, a work in progress to publish a modified subset of the openrechtspraak.nl dataset for NLP | Rodekool/ornl8 | [
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Currently, a work in progress to publish a modified subset of the URL dataset for NLP | [] | [
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8d51e7e4887a4caaa95b3fbebbf53c0490b58bbb |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | sst2 | [
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| Dataset Card for [Dataset Name]
===============================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationa... | [
"### Dataset Summary\n\n\nThe Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the\ncompositional effects of sentiment in language. The corpus is based on the dataset introduced by Pang and Lee (2005)\nand consists of 11,855 single sentences extracted fro... | [
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07c4d89846054c20b3cf55b961ba1c2c31896562 | This is the preprocessed queries from msmarco passage(v1) ranking corpus.
*[MS MARCO: A human generated MAchine Reading COmprehension dataset](https://arxiv.org/pdf/1611.09268.pdf)* SPayal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Ngu... | jacklin/msmarco_passage_ranking_queries | [
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| This is the preprocessed queries from msmarco passage(v1) ranking corpus.
*MS MARCO: A human generated MAchine Reading COmprehension dataset* SPayal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen,. | [] | [
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9abcec93c78c145abb4646ac0bd6056f36556e61 | This is the preprocessed data from msmarco passage(v1) ranking corpus.
*[MS MARCO: A human generated MAchine Reading COmprehension dataset](https://arxiv.org/pdf/1611.09268.pdf)* SPayal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen... | jacklin/msmarco_passage_ranking_corpus | [
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fa6ae9d93b03e6403e82696496dfbd2cf5c3d3d5 |
# Dataset Card for MAGPIE
## Table of Contents
- [Dataset Card for MAGPIE](#dataset-card-for-itacola)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [... | gsarti/magpie | [
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"lice... | 2022-06-13T19:58:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification", "text2text-generation", "translation"... | 2022-10-27T07:37:46+00:00 | [] | [
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=======================
Table of Contents
-----------------
* Dataset Card for MAGPIE
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Languages
+ Dataset Structure
- Data Instances
- Data Splits
- Dataset Creation
+ Additional Information
- Dataset Curators
- ... | [
"### Dataset Summary\n\n\nThe MAGPIE corpus (Haagsma et al. 2020) is a large sense-annotated corpus of potentially idiomatic expressions (PIEs), based on the British National Corpus (BNC). Potentially idiomatic expressions are like idiomatic expressions, but the term also covers literal uses of idiomatic expression... | [
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17dd9ee9f25a6d4c64be14e32af198cac68f6638 |
# Dataset Card for "PiC: Phrase Retrieval"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#d... | PiC/phrase_retrieval | [
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| Dataset Card for "PiC: Phrase Retrieval"
========================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
... | [
"### Dataset Summary\n\n\nPR is a phrase retrieval task with the goal of finding a phrase t in a given document d such that t is semantically similar to the query phrase, which is the paraphrase q1 provided by annotators.\nWe release two versions of PR: PR-pass and PR-page, i.e., datasets of 3-tuples (query q1, tar... | [
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07aee4679428bb3a0d132f5a3863c0b00b9804fd | # Dataset Card for financial_phrasebank
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-in... | rajistics/auditor_review | [
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| # Dataset Card for financial_phrasebank
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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- Annotations
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d7d9b95354c161647de519d4e8d9a59a801570b3 | # AutoTrain Dataset for project: dontknowwhatImdoing
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project dontknowwhatImdoing.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follo... | Jerimee/autotrain-data-dontknowwhatImdoing | [
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#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: dontknowwhatImdoing
==================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project dontknowwhatImdoing.
### Languages
The BCP-47 code for the dataset's language is en.
Dataset Stru... | [
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"### Dataset Fields\n\n\nThe dataset has ... | [
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fd3771be21edb9a13561c606bdfe87a66e95b149 |
# Dataset Card for "PiC: Phrase Sense Disambiguation"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset St... | PiC/phrase_sense_disambiguation | [
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| Dataset Card for "PiC: Phrase Sense Disambiguation"
===================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Split... | [
"### Dataset Summary\n\n\nPSD is a phrase retrieval task like PR-pass and PR-page but more challenging since each example contains two short paragraphs (~11 sentences each) which trigger different senses of the same phrase.\nThe goal is to find the instance of the target phrase t that is semantically similar to a p... | [
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fc67ce7c1e69e360e42dc6f31ddf97bb32f1923d |
# Dataset Card for "PiC: Phrase Similarity"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#... | PiC/phrase_similarity | [
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=========================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
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* Dataset Creation... | [
"### Dataset Summary\n\n\nPS is a binary classification task with the goal of predicting whether two multi-word noun phrases are semantically similar or not given *the same context* sentence.\nThis dataset contains ~10K pairs of two phrases along with their contexts used for disambiguation, since two phrases are no... | [
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22e9451042c750f5dec39e243d34f4efea1f3cda | # Dataset Card for Auditor_Review
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... | demo-org/auditor_review | [
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| # Dataset Card for Auditor_Review
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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8dd56bd02deccc9252f356e164a48c6adafa77d4 | # Danbooru2020 Small 60GB sample dataset
Aggregating the kaggle dataset here but keeping their hosting for the raw files
Links:
> https://www.kaggle.com/datasets/muoncollider/danbooru2020/download
See the notebook file for a quick reference on how to extract info | inarikami/Danbooru-2020-Small | [
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| # Danbooru2020 Small 60GB sample dataset
Aggregating the kaggle dataset here but keeping their hosting for the raw files
Links:
> URL
See the notebook file for a quick reference on how to extract info | [
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c2cc1eb192d1cbba04bfee929b089ad96720455e | # Description
The dataset represents huge number of images of people wearing face masks or not to be used extensively for train/test splitting. Selected files were double-checked to avoid data collection bias using common sense.
# Sources
The dataset obtained and combined from various open data sources, including foll... | hydramst/face_mask_wearing | [
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| # Description
The dataset represents huge number of images of people wearing face masks or not to be used extensively for train/test splitting. Selected files were double-checked to avoid data collection bias using common sense.
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9022ba27075f75c2f59d57d7fa5f42e8d1151aec |
# Dataset Card for LCCC
## Table of Contents
- [Dataset Card for LCCC](#dataset-card-for-lccc)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Langua... | lccc | [
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| Dataset Card for LCCC
=====================
Table of Contents
-----------------
* Dataset Card for LCCC
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
+ Dataset Creation
- C... | [
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f379fd9af10f2178159a6c7fdf6d3a8f10dccc74 | # Dataset Card for "dane-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ScandEval/dane-mini | [
"task_categories:token-classification",
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"language:da",
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] | 2022-06-14T17:20:34+00:00 | {"language": ["da"], "license": "cc-by-sa-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["token-classification"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": ... | 2023-07-05T08:40:02+00:00 | [] | [
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More Information needed | [
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67710dfa772469bf5d3653bf0ca9f431e782d85c | # Dataset Card for "norne-nb-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ScandEval/norne-nb-mini | [
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#task_categories-token-classification #size_categories-1K<n<10K #language-Norwegian Bokmål #license-other #region-us
| # Dataset Card for "norne-nb-mini"
More Information needed | [
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b34982a3ffc391bf3c5d6c999a2c1804ae170780 | # Dataset Card for "norne-nn-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ScandEval/norne-nn-mini | [
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] | 2022-06-14T17:21:22+00:00 | {"language": ["nn"], "license": "other", "size_categories": ["1K<n<10K"], "task_categories": ["token-classification"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 341534,... | 2023-07-05T08:41:26+00:00 | [] | [
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#task_categories-token-classification #size_categories-1K<n<10K #language-Norwegian Nynorsk #license-other #region-us
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More Information needed | [
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d8243105818293a2f5b4ba7ab6406e73098c9b8b | # Dataset Card for "suc3-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ScandEval/suc3-mini | [
"task_categories:token-classification",
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More Information needed | [
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10d04e5710d83c882ae62acb2dd928958b49516a | # Dataset Card for "mim-gold-ner-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ScandEval/mim-gold-ner-mini | [
"task_categories:token-classification",
"size_categories:1K<n<10K",
"language:is",
"license:other",
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#task_categories-token-classification #size_categories-1K<n<10K #language-Icelandic #license-other #region-us
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More Information needed | [
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564cc836587aa94894fffba0ed28857eb5b6f939 | # Dataset Card for "wikiann-fo-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ScandEval/wikiann-fo-mini | [
"language:fo",
"region:us"
] | 2022-06-14T17:39:30+00:00 | {"language": ["fo"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 233626, "num_examples": 1024}, {"name": "test", "num_bytes": 467705, "num_examples": 2048}, {"name": "val... | 2023-07-05T07:08:24+00:00 | [] | [
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More Information needed | [
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7bdf563492accd06815580ffdd685adad8b8674b |
# Dataset Card for ADE 20K Tiny
This is a tiny subset of the ADE 20K dataset, which you can find [here](https://huggingface.co/datasets/scene_parse_150). | nateraw/ade20k-tiny | [
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"license:bsd-3-c... | 2022-06-15T03:32:58+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["bsd-3-clause"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["extended|ade20k"], "task_categories": ["image-segmentation"], "task_ids": ["semantic-segme... | 2022-07-08T05:58:09+00:00 | [] | [
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|
# Dataset Card for ADE 20K Tiny
This is a tiny subset of the ADE 20K dataset, which you can find here. | [
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22b3b59656bf17b64ef0294318274afc7b5cf6a2 |
# Dataset Card for Country211
The [Country 211 Dataset](https://github.com/openai/CLIP/blob/main/data/country211.md) from OpenAI.
This dataset was built by filtering the images from the YFCC100m dataset that have GPS coordinate corresponding to a ISO-3166 country code. The dataset is balanced by sampling 150 train i... | nateraw/country211 | [
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"region:us... | 2022-06-15T04:11:59+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|yfcc100m"], "task_categories": ["image-classification"], "task_ids": ["multi-class-image-clas... | 2022-07-25T19:27:00+00:00 | [] | [
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|
# Dataset Card for Country211
The Country 211 Dataset from OpenAI.
This dataset was built by filtering the images from the YFCC100m dataset that have GPS coordinate corresponding to a ISO-3166 country code. The dataset is balanced by sampling 150 train images, 50 validation images, and 100 test images images for eac... | [
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813d20cfb22b7ac76cb6a272cc8510bd85e8a66e |
# Rendered SST-2
The [Rendered SST-2 Dataset](https://github.com/openai/CLIP/blob/main/data/rendered-sst2.md) from Open AI.
Rendered SST2 is an image classification dataset used to evaluate the models capability on optical character recognition. This dataset was generated by rendering sentences in the Standford Sent... | nateraw/rendered-sst2 | [
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|
# Rendered SST-2
The Rendered SST-2 Dataset from Open AI.
Rendered SST2 is an image classification dataset used to evaluate the models capability on optical character recognition. This dataset was generated by rendering sentences in the Standford Sentiment Treebank v2 dataset.
This dataset contains two classes (pos... | [
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5d1705be26da650adea619ee9bc5bf45571bb653 |
# Dataset Card for Kitti
The [Kitti](http://www.cvlibs.net/datasets/kitti/eval_object.php) dataset.
The Kitti object detection and object orientation estimation benchmark consists of 7481 training images and 7518 test images, comprising a total of 80.256 labeled objects | nateraw/kitti | [
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"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:unknown",
"region:us"
] | 2022-06-15T04:58:44+00:00 | {"annotations_creators": ["found"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "task_categories": ["object-detection"], "task_ids": ["object-detection"], "pretty_name": "Kitti"} | 2022-07-15T17:17:21+00:00 | [] | [
"en"
] | TAGS
#task_categories-object-detection #annotations_creators-found #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-unknown #region-us
|
# Dataset Card for Kitti
The Kitti dataset.
The Kitti object detection and object orientation estimation benchmark consists of 7481 training images and 7518 test images, comprising a total of 80.256 labeled objects | [
"# Dataset Card for Kitti\n\nThe Kitti dataset.\n\nThe Kitti object detection and object orientation estimation benchmark consists of 7481 training images and 7518 test images, comprising a total of 80.256 labeled objects"
] | [
"TAGS\n#task_categories-object-detection #annotations_creators-found #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-unknown #region-us \n",
"# Dataset Card for Kitti\n\nThe Kitti dataset.\n\nThe Kitti object detection and object orientation estima... | [
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"passage: TAGS\n#task_categories-object-detection #annotations_creators-found #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-unknown #region-us \n# Dataset Card for Kitti\n\nThe Kitti dataset.\n\nThe Kitti object detection and object orientation est... |
603ca7858c8c00d7b762ff96d3aa29f1507c6954 | # Dataset Card for Sketch Data Model Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-instan... | sketchai/sam-dataset | [
"annotations_creators:no-annotation",
"language_creators:other",
"size_categories:1M<n<10M",
"license:lgpl-3.0",
"region:us"
] | 2022-06-15T08:18:23+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["other"], "language": [], "license": ["lgpl-3.0"], "multilinguality": [], "size_categories": ["1M<n<10M"], "task_categories": [], "task_ids": [], "pretty_name": "Sketch Data Model Dataset"} | 2022-07-13T12:03:40+00:00 | [] | [] | TAGS
#annotations_creators-no-annotation #language_creators-other #size_categories-1M<n<10M #license-lgpl-3.0 #region-us
| Dataset Card for Sketch Data Model Dataset
==========================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotat... | [
"### Dataset Summary\n\n\nThis dataset contains over 6M CAD 2D sketches extracted from Onshape. Sketches are stored as python objects in the custom SAM format.\nSAM leverages the Sketchgraphs dataset for industrial needs and allows for easier transfer learning on other CAD softwares.",
"### Supported Tasks and Le... | [
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b7f5ca3b82fd40f1b5eaae91c720817eb477a2cd |
# Dataset Card for frwiki_good_pages_el
## Dataset Description
- Repository: [frwiki_el](https://github.com/GaaH/frwiki_el)
- Point of Contact: [Gaëtan Caillaut](mailto://g.caillaut@brgm.fr)
### Dataset Summary
This dataset contains articles from the French Wikipédia.
It is intended to be used to train Entity Link... | gcaillaut/frwiki_el | [
"task_categories:token-classification",
"annotations_creators:crowdsourced",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:fr",
"license:wtfpl",
"region:us"
] | 2022-06-15T08:37:40+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["machine-generated"], "language": ["fr"], "license": ["wtfpl"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": [], "pretty_name": "French Wikip... | 2022-09-28T07:52:12+00:00 | [] | [
"fr"
] | TAGS
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|
# Dataset Card for frwiki_good_pages_el
## Dataset Description
- Repository: frwiki_el
- Point of Contact: Gaëtan Caillaut
### Dataset Summary
This dataset contains articles from the French Wikipédia.
It is intended to be used to train Entity Linking (EL) systems. Links in articles are used to detect named entitie... | [
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"## Dataset Description\n\n- Repository: frwiki_el\n- Point of Contact: Gaëtan Caillaut",
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5d39a097127b8a6c8342cfc602967ce396478678 |
# multiFC
- a dataset for the task of **automatic claim verification**
- License is currently unknown, please refer to the original paper/[dataset site](http://www.copenlu.com/publication/2019_emnlp_augenstein/):
- https://arxiv.org/abs/1909.03242
## Dataset contents
- **IMPORTANT:** the `label` column in the `t... | pszemraj/multi_fc | [
"license:other",
"automatic claim verification",
"claims",
"arxiv:1909.03242",
"region:us"
] | 2022-06-15T10:27:47+00:00 | {"license": "other", "tags": ["automatic claim verification", "claims"]} | 2022-06-16T10:57:52+00:00 | [
"1909.03242"
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#license-other #automatic claim verification #claims #arxiv-1909.03242 #region-us
|
# multiFC
- a dataset for the task of automatic claim verification
- License is currently unknown, please refer to the original paper/dataset site:
- URL
## Dataset contents
- IMPORTANT: the 'label' column in the 'test' set has dummy values as these were not provided (see original readme section for explanation)... | [
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21e74ddf8de1a21436da12e3e653065c5213e9d1 |
# APPS Dataset
## Dataset Description
[APPS](https://arxiv.org/abs/2105.09938) is a benchmark for code generation with 10000 problems. It can be used to evaluate the ability of language models to generate code from natural language specifications.
You can also find **APPS metric** in the hub here [codeparrot/apps_met... | codeparrot/apps | [
"task_categories:text-generation",
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] | 2022-06-15T12:20:26+00:00 | {"annotations_creators": [], "language_creators": ["crowdsourced", "expert-generated"], "language": ["code"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "APPS"} | 2022-10-20T14:00:15+00:00 | [
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| APPS Dataset
============
Dataset Description
-------------------
APPS is a benchmark for code generation with 10000 problems. It can be used to evaluate the ability of language models to generate code from natural language specifications.
You can also find APPS metric in the hub here codeparrot/apps\_metric.
Lan... | [
"### How to use it\n\n\nYou can load and iterate through the dataset with the following two lines of code for the train split:\n\n\nEach sample consists of a programming problem formulation in English, some ground truth Python solutions, test cases that are defined by their inputs and outputs and function name if p... | [
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83e07480c44954d638b087ecd1f6af7934ba9d68 | Trust**wallet customer service Support Number +1-818*751*8351 | trustwallet/33 | [
"license:apache-2.0",
"region:us"
] | 2022-06-15T16:31:08+00:00 | {"license": "apache-2.0"} | 2022-06-15T16:31:41+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
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1413ed90879c1ebb1b7016388a6ef43e7765d295 | # AutoTrain Dataset for project: Psychiatry_Article_Identifier
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project Psychiatry_Article_Identifier.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this d... | justpyschitry/autotrain-data-Psychiatry_Article_Identifier | [
"task_categories:text-classification",
"region:us"
] | 2022-06-15T18:02:36+00:00 | {"task_categories": ["text-classification"]} | 2022-06-15T20:34:39+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: Psychiatry\_Article\_Identifier
==============================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project Psychiatry\_Article\_Identifier.
### Languages
The BCP-47 code for the data... | [
"### 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... | [
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"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (... | [
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ca5836dcea910a720fe456e3d3c9b68206507eeb |
# Dataset Card for MAWPS_ar
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Fiel... | omarxadel/MaWPS-ar | [
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"language:en",
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] | 2022-06-15T19:39:14+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en", "ar"], "license": ["mit"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["text2text-generation"], "task_ids": ["explanation-generation"], "pretty_name": "MAWPS... | 2022-07-12T14:31:07+00:00 | [] | [
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| Dataset Card for MAWPS\_ar
==========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal ... | [
"### Dataset Summary\n\n\nMAWPS: A Math Word Problem Repository",
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"### Languages\n\n\nSupports Arabic and English\n\n\nDataset Structure\n-----------------",
"### Data Fields\n\n\n* 'text\\_en': a 'string' feature.\n* 'text\\_ar': a 'string' feature.\n* 'e... | [
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6adb717a2503f1d49af178c0497c2529f1a8e68f | # CORD: A Consolidated Receipt Dataset for Post-OCR Parsing
CORD dataset is cloned from [clovaai](https://github.com/clovaai/cord) GitHub repo
- Box coordinates are normalized against image width/height
- Labels with very few occurrences are replaced with O:
```
replacing_labels = ['menu.etc', 'menu.itemsubtotal',
... | nehruperumalla/forms | [
"region:us"
] | 2022-06-16T05:34:48+00:00 | {} | 2022-06-16T05:38:45+00:00 | [] | [] | TAGS
#region-us
| # CORD: A Consolidated Receipt Dataset for Post-OCR Parsing
CORD dataset is cloned from clovaai GitHub repo
- Box coordinates are normalized against image width/height
- Labels with very few occurrences are replaced with O:
Check for more info Sparrow
### CORD: A Consolidated Receipt Dataset for Post-OCR Parsing
... | [
"# CORD: A Consolidated Receipt Dataset for Post-OCR Parsing\n\nCORD dataset is cloned from clovaai GitHub repo\n\n- Box coordinates are normalized against image width/height\n- Labels with very few occurrences are replaced with O:\n\n\n\nCheck for more info Sparrow",
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f27efa2241b715868b4e2c6a2ead19ce067b3b48 | This is the sentiment analysis dataset based on IMDB reviews initially released by Stanford University.
```
This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets.
We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for test... | scikit-learn/imdb | [
"license:other",
"region:us"
] | 2022-06-16T08:07:41+00:00 | {"license": "other"} | 2022-06-16T08:11:24+00:00 | [] | [] | TAGS
#license-other #region-us
| This is the sentiment analysis dataset based on IMDB reviews initially released by Stanford University.
Here is the redirection.
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428766bc07a9e8699b7782e8557b7e07d32923f3 | # CodeParrot 🦜 Dataset after near deduplication (validation)
## Dataset Description
A dataset of Python files from Github. We performed near deduplication of this dataset split [codeparrot-clean-train](https://huggingface.co/datasets/codeparrot/codeparrot-clean-valid) from [codeparrot-clean](https://huggingface.co/d... | codeparrot/codeparrot-valid-near-deduplication | [
"region:us"
] | 2022-06-16T13:29:26+00:00 | {} | 2022-06-21T18:06:58+00:00 | [] | [] | TAGS
#region-us
| # CodeParrot Dataset after near deduplication (validation)
## Dataset Description
A dataset of Python files from Github. We performed near deduplication of this dataset split codeparrot-clean-train from codeparrot-clean. Exact deduplication can miss a fair amount of nearly identical files. We used MinHash with a Jac... | [
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e77668a8fb0cedb8ff0fb97ca9e4699b1f095841 | # Dataset Card for OffendES
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure... | fmplaza/offendes | [
"language:es",
"license:apache-2.0",
"region:us"
] | 2022-06-16T13:32:03+00:00 | {"language": ["es"], "license": "apache-2.0"} | 2024-02-06T14:26:55+00:00 | [] | [
"es"
] | TAGS
#language-Spanish #license-apache-2.0 #region-us
| Dataset Card for OffendES
=========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Source Data
+ Annotations
*... | [
"### Dataset Summary\n\n\nFocusing on young influencers from the well-known social platforms of Twitter, Instagram, and YouTube, we have collected a corpus composed of Spanish comments manually labeled on offensive pre-defined categories. From the total corpus, we selected 30,416 posts to be publicly published, the... | [
"TAGS\n#language-Spanish #license-apache-2.0 #region-us \n",
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0809fc7058613aa685e5b99a7987eee7ec72171f | # CodeParrot 🦜 Dataset after near deduplication (train)
## Dataset Description
A dataset of Python files from Github. We performed near deduplication of this dataset split [codeparrot-clean-train](https://huggingface.co/datasets/codeparrot/codeparrot-clean-train) from [codeparrot-clean](https://huggingface.co/datase... | codeparrot/codeparrot-train-near-deduplication | [
"region:us"
] | 2022-06-16T15:45:47+00:00 | {} | 2022-06-21T18:07:13+00:00 | [] | [] | TAGS
#region-us
| # CodeParrot Dataset after near deduplication (train)
## Dataset Description
A dataset of Python files from Github. We performed near deduplication of this dataset split codeparrot-clean-train from codeparrot-clean. Exact deduplication can miss a fair amount of nearly identical files. We used MinHash with a Jaccard ... | [
"# CodeParrot Dataset after near deduplication (train)",
"## Dataset Description\n\nA dataset of Python files from Github. We performed near deduplication of this dataset split codeparrot-clean-train from codeparrot-clean. Exact deduplication can miss a fair amount of nearly identical files. We used MinHash with... | [
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"passage: TAGS\n#region-us \n# CodeParrot Dataset after near deduplication (train)## Dataset Description\n\nA dataset of Python files from Github. We performed near deduplication of this dataset split codeparrot-clean-train from codeparrot-clean. Exact deduplication can miss a fair amount of nearly identical files... |
b332d9a0f9ffbd9f6608dd1ea2d90a18b827f78a |
# Dataset Card for "tydiqa"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | khalidalt/tydiqa-primary | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:extended|wikipedia",
"language:en",
"language:ar",
"language:bn",
"language:fi",
"l... | 2022-06-16T16:20:46+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en", "ar", "bn", "fi", "id", "ja", "sw", "ko", "ru", "te", "th"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": ["extended|wikipedia"], "task_categories": ... | 2022-07-28T20:56:04+00:00 | [] | [
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=========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations... | [
"### Dataset Summary\n\n\nTyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs.\nThe languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language\nexpresses -- such that we expect models performing ... | [
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b29ec2faf6ef73d634db9757f8741dee68f6c874 |
# Dataset Card for Fig-QA
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)... | nightingal3/fig-qa | [
"task_categories:multiple-choice",
"task_ids:multiple-choice-qa",
"annotations_creators:expert-generated",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:mit",
... | 2022-06-16T17:35:21+00:00 | {"annotations_creators": ["expert-generated", "crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["multiple-choice"], "task_ids": ["multiple-choice-qa"]... | 2023-06-10T17:13:33+00:00 | [
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|
# Dataset Card for Fig-QA
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Splits
- Considerations for Using the Data
- Discussion of Biases
- Additional Information
- Licensing Information
- Citati... | [
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f0c06c4a962c9e8e0a4f8a0ca9d6494d7d9d7e81 |
# Dataset Card for Rice Image Dataset
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#datase... | nateraw/rice-image-dataset | [
"license:cc0-1.0",
"region:us"
] | 2022-06-16T18:15:32+00:00 | {"license": ["cc0-1.0"], "kaggle_id": "muratkokludataset/rice-image-dataset"} | 2022-07-08T05:36:39+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# Dataset Card for Rice Image Dataset
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
... | [
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8a6ac08c60a12d9c9239a89083fbd566d6de3409 | # Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... | watakandai/LTLtraces | [
"region:us"
] | 2022-06-16T21:38:58+00:00 | {} | 2022-07-16T21:50:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Pe... | [
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2b7f7cb193bb1c8a95d1efe5925b250696a0daa4 |
# Dataset Card for Demo
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | Sampson2022/demo | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"region:us"
] | 2022-06-17T01:44:16+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "paperswithcode_id": "demo", "pretty_name": "demo", "l... | 2022-06-17T06:41:17+00:00 | [] | [] | TAGS
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|
# Dataset Card for Demo
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal an... | [
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a5994401ede160334e601cf243bb5b632f2d1e32 |
# Dataset Card for SV-Ident
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](... | vadis/sv-ident | [
"task_categories:text-classification",
"task_ids:multi-label-classification",
"task_ids:semantic-similarity-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"languag... | 2022-06-17T07:33:04+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en", "de"], "license": ["mit"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-label-classificat... | 2022-11-07T20:51:06+00:00 | [] | [
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=========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal and ... | [
"### Dataset Summary\n\n\nSV-Ident comprises 4,248 sentences from social science publications in English and German. The data is the official data for the Shared Task: “Survey Variable Identification in Social Science Publications” (SV-Ident) 2022. Visit the homepage to find out more details about the shared task."... | [
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"region:us"
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#region-us
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f86f1751d4d21def7b518d635d1f99fb98b5bc4c |
How to load the Common Voice Bangla dataset directly with the datasets library
Run
1) from datasets import load_dataset
2) dataset = load_dataset("bengaliAI/CommonVoiceBangla", "bn", delimiter='\t')
| bengaliAI/CommonVoiceBangla | [
"license:cc0-1.0",
"region:us"
] | 2022-06-17T11:07:13+00:00 | {"license": "cc0-1.0"} | 2022-06-30T23:46:28+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
How to load the Common Voice Bangla dataset directly with the datasets library
Run
1) from datasets import load_dataset
2) dataset = load_dataset("bengaliAI/CommonVoiceBangla", "bn", delimiter='\t')
| [] | [
"TAGS\n#license-cc0-1.0 #region-us \n"
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5b041f9c0409219213594593e95d185e993a7422 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/nfcorpus-generated-queries | [
"task_categories:text-retrieval",
"task_ids:entity-linking-retrieval",
"task_ids:fact-checking-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2022-06-17T11:46:46+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:12:19+00:00 | [] | [
"en"
] | TAGS
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
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74e348ee0157fec51315a3c10346152603714356 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/scifact-generated-queries | [
"task_categories:text-retrieval",
"task_ids:entity-linking-retrieval",
"task_ids:fact-checking-retrieval",
"multilinguality:monolingual",
"language:en",
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"region:us"
] | 2022-06-17T11:52:14+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:12:34+00:00 | [] | [
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#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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cf98811dd1e94557e7fc39d30f670512bb747aee |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/scidocs-generated-queries | [
"task_categories:text-retrieval",
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] | 2022-06-17T11:53:49+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:12:52+00:00 | [] | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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29c8b8c4259ea3d8258e7e91c87b41c86ef860c1 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/fiqa-generated-queries | [
"task_categories:text-retrieval",
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] | 2022-06-17T11:56:09+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:13:18+00:00 | [] | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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143f29519a132608b65b978d3140ec7f928d04e4 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/trec-covid-generated-queries | [
"task_categories:text-retrieval",
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"multilinguality:monolingual",
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"region:us"
] | 2022-06-17T11:59:43+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:13:36+00:00 | [] | [
"en"
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#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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740e4999416e906275e8b35f18132b3a4bf00f7c |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/trec-news-generated-queries | [
"task_categories:text-retrieval",
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"multilinguality:monolingual",
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] | 2022-06-17T12:04:13+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:13:54+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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e412211d542ff105d108ac339a8b6439eca1bcc7 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/webis-touche2020-generated-queries | [
"task_categories:text-retrieval",
"task_ids:entity-linking-retrieval",
"task_ids:fact-checking-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2022-06-17T12:19:45+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:14:11+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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e11e2b75342f48a7cce39e7166b37affa07bc1ff |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/robust04-generated-queries | [
"task_categories:text-retrieval",
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"multilinguality:monolingual",
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] | 2022-06-17T12:20:04+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:14:27+00:00 | [] | [
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#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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57048c520433e98ff6140475f50b04df84349448 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/signal1m-generated-queries | [
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] | 2022-06-17T12:20:10+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:14:43+00:00 | [] | [
"en"
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#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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3c4a58842262b5fdf7c81ed8aaaf4aa1147b3d10 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/quora-generated-queries | [
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] | 2022-06-17T12:20:18+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:14:58+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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dd4da5b111e7d6e97c20f51525d7a06aecbd450c |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/nq-generated-queries | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
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5f60035209aaf230a854faca96d56aa12f78a7d5 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/hotpotqa-generated-queries | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
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0f4da4f147b4ff1e10a9421b0a505ce68f2eeebe |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/cqadupstack-generated-queries | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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13595a9f221256a9a21e91c8b0fed3563382b6a7 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/cqadupstack-qrels | [
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] | 2022-06-17T12:32:04+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:16:03+00:00 | [] | [
"en"
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#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
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"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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7d60e12381f1b0c9b435bcda7df346730f6626eb |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/bioasq-generated-queries | [
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] | 2022-06-17T13:01:55+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:16:16+00:00 | [] | [
"en"
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#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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165e9f3cb91038e1d41dd0fc6e037902228df9e0 |
# Dataset Card for NASA technical report server metadata
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
... | icelab/ntrs_meta | [
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"language... | 2022-06-17T13:34:38+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "masked... | 2022-08-18T06:40:13+00:00 | [] | [
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# Dataset Card for NASA technical report server metadata
## Table of Contents
- Table of Contents
- Dataset Description
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- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Curation Rationale
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64e12bf41b08d32f5d82bc106f484f7bf942706b |
## Source: https://www.kaggle.com/datasets/rounakbanik/pokemon
Also published to https://datasette.fly.dev/pokemon/pokemon using `datasette`
Columns:
- name: The English name of the Pok... | julien-c/kaggle-rounakbanik-pokemon | [
"license:cc0-1.0",
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#license-cc0-1.0 #pokemon #region-us
|
![](URL
## Source: URL
Also published to URL using 'datasette'
Columns:
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80e14cc7aa624cc266470f43a626652dabdfb80a | Source: https://www.kaggle.com/datasets/hugomathien/soccer by Hugo Mathien
## About Dataset
### The ultimate Soccer database for data analysis and machine learning
What you get:
- +25,000 matches
- +10,000 players
- 11 European Countries with their lead championship
- Seasons 2008 to 2016
- Players and Teams' attrib... | julien-c/kaggle-hugomathien-soccer | [
"license:odbl",
"region:us"
] | 2022-06-17T20:21:37+00:00 | {"license": ["odbl"]} | 2022-10-25T09:32:23+00:00 | [] | [] | TAGS
#license-odbl #region-us
| Source: URL by Hugo Mathien
## About Dataset
### The ultimate Soccer database for data analysis and machine learning
What you get:
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- 11 European Countries with their lead championship
- Seasons 2008 to 2016
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9d6f23ef233458c252bbfd9c53cc1b93a6941333 |
# Dataset Card for Adult_Content_Detection
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Source Data](#source-data)
## Dataset Description
850 Articles descriptions classified into two different categories namely: Adult, and... | valurank/Adult-content-dataset | [
"task_categories:text-classification",
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-06-17T20:54:46+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "task_categories": ["text-classification"], "task_ids": []} | 2023-01-19T02:40:10+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for Adult_Content_Detection
## Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Source Data
## Dataset Description
850 Articles descriptions classified into two different categories namely: Adult, and Non_Adult
## Languages
The text in the dataset is in English
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bd267da8836a58a80c8171484808a8725cc1d4bf | # Dataset Card for [Dataset Name]
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
- **license:** gpl-3.0
### Dataset Summary
[More Information Needed]
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information N... | c17hawke/test-xml-data | [
"region:us"
] | 2022-06-18T03:13:25+00:00 | {} | 2022-06-18T04:42:06+00:00 | [] | [] | TAGS
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| # Dataset Card for [Dataset Name]
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
- license: gpl-3.0
### Dataset Summary
### Supported Tasks and Leaderboards
### Languages
## Dataset Structure
### Data Instances
### Data Fields
### Data Splits
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2170a0eb8d75233132608787a4519f25bcc47ad7 |
# Dataset Card for CORE Deduplication
## Dataset Description
- **Homepage:** [https://core.ac.uk/about/research-outputs](https://core.ac.uk/about/research-outputs)
- **Repository:** [https://core.ac.uk/datasets/core_2020-05-10_deduplication.zip](https://core.ac.uk/datasets/core_2020-05-10_deduplication.zip)
- **Pape... | pinecone/core-2020-05-10-deduplication | [
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"language:en",
"lic... | 2022-06-18T14:43:43+00:00 | {"annotations_creators": ["unknown"], "language_creators": ["unknown"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["unknown"], "task_categories": ["other"], "task_ids": ["natural-language-inference", "semantic-similarity-scoring", "t... | 2022-10-28T02:01:02+00:00 | [] | [
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# Dataset Card for CORE Deduplication
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: Deduplication of Scholarly Documents using Locality Sensitive Hashing and Word Embeddings
- Point of Contact: CORE Team
- Size of downloaded dataset files: 204 MB
### Dataset Summary
CORE 2020 Deduplication data... | [
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744560c8cc5c139714873fc4c4c418ddfc76ade7 |
Do cite the below reference for using the dataset:
@article{marreddy2022resource, title={Am I a Resource-Poor Language? Data Sets, Embeddings, Models and Analysis for four different NLP tasks in Telugu Language},
author={Marreddy, Mounika and Oota, Subba Reddy and Vakada, Lakshmi Sireesha and Chinni, Venkata Charan a... | mounikaiiith/Telugu_Sentiment | [
"license:cc-by-4.0",
"region:us"
] | 2022-06-19T11:06:15+00:00 | {"license": "cc-by-4.0"} | 2022-07-04T14:05:31+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
Do cite the below reference for using the dataset:
@article{marreddy2022resource, title={Am I a Resource-Poor Language? Data Sets, Embeddings, Models and Analysis for four different NLP tasks in Telugu Language},
author={Marreddy, Mounika and Oota, Subba Reddy and Vakada, Lakshmi Sireesha and Chinni, Venkata Charan a... | [] | [
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] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
] |
6432e1357ed6ad57db1683451b08943639eb45ae |
Do cite the below reference for using the dataset:
@article{marreddy2022resource, title={Am I a Resource-Poor Language? Data Sets, Embeddings, Models and Analysis for four different NLP tasks in Telugu Language},
author={Marreddy, Mounika and Oota, Subba Reddy and Vakada, Lakshmi Sireesha and Chinni, Venkata Charan a... | mounikaiiith/Telugu_Emotion | [
"license:cc-by-4.0",
"region:us"
] | 2022-06-19T11:09:17+00:00 | {"license": "cc-by-4.0"} | 2022-07-04T14:04:59+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
Do cite the below reference for using the dataset:
@article{marreddy2022resource, title={Am I a Resource-Poor Language? Data Sets, Embeddings, Models and Analysis for four different NLP tasks in Telugu Language},
author={Marreddy, Mounika and Oota, Subba Reddy and Vakada, Lakshmi Sireesha and Chinni, Venkata Charan a... | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
] |
752da0b4d8c4f38c5aa77c8334c450f21ad45a60 |
Do cite the below references for using the dataset:
@article{marreddy2022resource, title={Am I a Resource-Poor Language? Data Sets, Embeddings, Models and Analysis for four different NLP tasks in Telugu Language},
author={Marreddy, Mounika and Oota, Subba Reddy and Vakada, Lakshmi Sireesha and Chinni, Venkata Charan ... | mounikaiiith/Telugu-Hatespeech | [
"license:cc-by-4.0",
"region:us"
] | 2022-06-19T11:12:32+00:00 | {"license": "cc-by-4.0"} | 2022-07-04T14:06:14+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
Do cite the below references for using the dataset:
@article{marreddy2022resource, title={Am I a Resource-Poor Language? Data Sets, Embeddings, Models and Analysis for four different NLP tasks in Telugu Language},
author={Marreddy, Mounika and Oota, Subba Reddy and Vakada, Lakshmi Sireesha and Chinni, Venkata Charan ... | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
] |
ae3c167c3f3e825f25633db808480d302ef9545a |
Do cite the below references for using the dataset:
@article{marreddy2022resource, title={Am I a Resource-Poor Language? Data Sets, Embeddings, Models and Analysis for four different NLP tasks in Telugu Language},
author={Marreddy, Mounika and Oota, Subba Reddy and Vakada, Lakshmi Sireesha and Chinni, Venkata Charan ... | mounikaiiith/Telugu-Sarcasm | [
"license:cc-by-4.0",
"region:us"
] | 2022-06-19T11:15:20+00:00 | {"license": "cc-by-4.0"} | 2022-07-04T14:06:49+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
Do cite the below references for using the dataset:
@article{marreddy2022resource, title={Am I a Resource-Poor Language? Data Sets, Embeddings, Models and Analysis for four different NLP tasks in Telugu Language},
author={Marreddy, Mounika and Oota, Subba Reddy and Vakada, Lakshmi Sireesha and Chinni, Venkata Charan ... | [] | [
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] | [
15
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2d00bdf7fce79d6da10dc6825a67a12e777c6732 |
## Leipzig Corpora Collection
The [Leipzig Corpora Collection](https://wortschatz.uni-leipzig.de/en/download) presents corpora in different languages using the same format and comparable sources. All data are available as plain text files and can be imported into a MySQL database by using the provided import script.... | imvladikon/leipzig_corpora_collection | [
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## Leipzig Corpora Collection
The Leipzig Corpora Collection presents corpora in different languages using the same format and comparable sources. All data are available as plain text files and can be imported into a MySQL database by using the provided import script. They are intended both for scientific use by cor... | [
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b7cc67c74e0e466f48d795325a015298481fe85a |
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-field... | imvladikon/hebrew_news | [
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|
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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b0c3bd280892a3f68db1b624e47497cfb3046b05 | # GEM Submission
Submission name: This is a test name
| GEM-submissions/lewtun__this-is-a-test-name__1655666361 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-06-19T18:19:21+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "This is a test name", "tags": ["evaluation", "benchmark"]} | 2022-06-19T18:19:24+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test name
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a1f7e19b50048259d6006324c8b12ee4a0284ac5 |
# 2.7 million news articles and essays
## Table of Contents
- [Dataset Description](#dataset-description)
## Dataset Description
2.7 million news articles and essays from 27 American publications. Includes date, title, publication, article text, publication name, year, month, and URL (for some). Articles mostly span... | rjac/all-the-news-2-1-Component-one | [
"annotations_creators:Andrew Thompson",
"annotations_creators:components.one",
"language:en",
"region:us"
] | 2022-06-19T21:35:47+00:00 | {"annotations_creators": ["Andrew Thompson", "components.one"], "language": ["en"]} | 2022-07-28T20:01:39+00:00 | [] | [
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|
# 2.7 million news articles and essays
## Table of Contents
- Dataset Description
## Dataset Description
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decdb164025b593b707d36db2c9f79929ea66134 |
# Dataset Card for PMD
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Preprocessing](#dataset-preprocessing)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#lan... | facebook/pmd | [
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"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"arxiv:2112.04482",
"arxiv:2111.11431",
"region:us... | 2022-06-19T23:52:47+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["image-to-text"], "task_ids": ["image-captioning"], "paperswithcode_id": "pmd", "p... | 2022-08-09T22:51:39+00:00 | [
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|
# Dataset Card for PMD
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Preprocessing
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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00f96ff552610ab5f3c15d3a0881dda2a14a3935 | # AudioMNIST
This is a HuggingFace Datasets adaptation of the AudioMNIST dataset
Original Dataset:
https://github.com/soerenab/AudioMNIST
---
license: mit
---
| flexthink/audiomnist | [
"region:us"
] | 2022-06-20T02:38:26+00:00 | {} | 2022-06-21T01:50:18+00:00 | [] | [] | TAGS
#region-us
| # AudioMNIST
This is a HuggingFace Datasets adaptation of the AudioMNIST dataset
Original Dataset:
URL
---
license: mit
---
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a6b9f7b804bb6c057fb6f94d38430f1bd91ae45c | # Dataset Card for jbo-corpus
## Dataset Description
- **Homepage:** https://github.com/olpa/lojban-mt/tree/master/data
### Dataset Summary
Parallel corpus of Lojban sentences
### Licensing Information
Unknown
| olpa/jbo-corpus | [
"region:us"
] | 2022-06-20T02:55:50+00:00 | {} | 2022-08-12T03:41:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for jbo-corpus
## Dataset Description
- Homepage: URL
### Dataset Summary
Parallel corpus of Lojban sentences
### Licensing Information
Unknown
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aec70969b2c4c5eb93adadf4c3b2aa2c03258548 |
# Dataset Card for Nexdata/American_English_Speech_Data_by_Mobile_Phone_Reading
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages]... | Nexdata/American_English_Speech_Data_by_Mobile_Phone_Reading | [
"region:us"
] | 2022-06-20T05:54:36+00:00 | {"YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-08-31T01:27:54+00:00 | [] | [] | TAGS
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|
# Dataset Card for Nexdata/American_English_Speech_Data_by_Mobile_Phone_Reading
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation R... | [
"# Dataset Card for Nexdata/American_English_Speech_Data_by_Mobile_Phone_Reading",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creat... | [
"TAGS\n#region-us \n",
"# Dataset Card for Nexdata/American_English_Speech_Data_by_Mobile_Phone_Reading",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Dat... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Nexdata/American_English_Speech_Data_by_Mobile_Phone_Reading## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data S... |
4cce6b9fd84b691ca6907fa1fb3832e4a5bc37c2 | ## IndicNLP News Article Classification Dataset
We used the IndicNLP text corpora to create classification datasets comprising news articles and their categories for 9 languages. The dataset is balanced across classes. The following table contains the statistics of our dataset:
| Language | Classes ... | hugginglearners/malayalam_news | [
"region:us"
] | 2022-06-20T06:38:55+00:00 | {} | 2022-07-04T05:13:54+00:00 | [] | [] | TAGS
#region-us
| IndicNLP News Article Classification Dataset
--------------------------------------------
We used the IndicNLP text corpora to create classification datasets comprising news articles and their categories for 9 languages. The dataset is balanced across classes. The following table contains the statistics of our datase... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
2702354ff5c46c409dceae8abcc2cef2c3efc76a | This dataset contains both 8 and 16 sampled frames of the "eating-spaghetti" video of the Kinetics-400 dataset, with the following frame indices being used:
* 8 frames (`eating_spaghetti_8_frames.npy`): [ 97, 98, 99, 100, 101, 102, 103, 104] (NumPy seed was 1024, clip_len=8, frame_sample_rate=1, seg_len=len(vr))
* ... | hf-internal-testing/spaghetti-video | [
"region:us"
] | 2022-06-20T08:00:06+00:00 | {} | 2022-09-07T15:35:12+00:00 | [] | [] | TAGS
#region-us
| This dataset contains both 8 and 16 sampled frames of the "eating-spaghetti" video of the Kinetics-400 dataset, with the following frame indices being used:
* 8 frames ('eating_spaghetti_8_frames.npy'): [ 97, 98, 99, 100, 101, 102, 103, 104] (NumPy seed was 1024, clip_len=8, frame_sample_rate=1, seg_len=len(vr))
* ... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
6bfce617fc090535882d58811a6665f44378003f |
This dataset is contains 200 sentences taken from German financial statements. In each sentence financial entities and financial values are annotated. Additionally there is an augmented version of this dataset where the financial entities in each sentence have been replaced by several other financial entities which ar... | fabianrausch/financial-entities-values-augmented | [
"license:mit",
"region:us"
] | 2022-06-20T08:12:30+00:00 | {"license": "mit"} | 2022-06-20T08:50:29+00:00 | [] | [] | TAGS
#license-mit #region-us
|
This dataset is contains 200 sentences taken from German financial statements. In each sentence financial entities and financial values are annotated. Additionally there is an augmented version of this dataset where the financial entities in each sentence have been replaced by several other financial entities which ar... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
851374102055782c84f89b1b4e9d128a6568847b |
## Code snippet to visualise the position of the box
```python
import matplotlib.image as img
import matplotlib.pyplot as plt
from datasets import load_dataset
from matplotlib.patches import Rectangle
# Load dataset
ds_name = "SaulLu/Caltech-101"
ds_config = "without_background_category"
ds_without = load_dataset(d... | HuggingFaceM4/Caltech-101 | [
"license:cc-by-4.0",
"region:us"
] | 2022-06-20T10:03:15+00:00 | {"license": "cc-by-4.0"} | 2022-07-07T11:24:06+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
## Code snippet to visualise the position of the box
Result:
!Sample with box position | [
"## Code snippet to visualise the position of the box\n\n\n\nResult: \n!Sample with box position"
] | [
"TAGS\n#license-cc-by-4.0 #region-us \n",
"## Code snippet to visualise the position of the box\n\n\n\nResult: \n!Sample with box position"
] | [
15,
21
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n## Code snippet to visualise the position of the box\n\n\n\nResult: \n!Sample with box position"
] |
0bda0ce801be0fa2f464ff845a9d5ceae99aad7d | ## Iris Species Dataset
The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository.
It includes three iris species with 50 samples each as well as some properties about each flower. One flower spec... | scikit-learn/iris | [
"license:cc0-1.0",
"region:us"
] | 2022-06-20T13:10:10+00:00 | {"license": "cc0-1.0"} | 2022-06-20T13:17:01+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
| ## Iris Species Dataset
The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository.
It includes three iris species with 50 samples each as well as some properties about each flower. One flower spec... | [] | [
"TAGS\n#license-cc0-1.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-cc0-1.0 #region-us \n"
] |
e41c086f1614397ce7a5660980aac421047cef5e | ## Breast Cancer Wisconsin Diagnostic Dataset
Following description was retrieved from [breast cancer dataset on UCI machine learning repository](https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(diagnostic)).
Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass... | scikit-learn/breast-cancer-wisconsin | [
"license:cc-by-sa-4.0",
"region:us"
] | 2022-06-20T13:22:00+00:00 | {"license": "cc-by-sa-4.0"} | 2022-06-20T13:28:58+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
| ## Breast Cancer Wisconsin Diagnostic Dataset
Following description was retrieved from breast cancer dataset on UCI machine learning repository).
Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. A few ... | [
"## Breast Cancer Wisconsin Diagnostic Dataset\n\nFollowing description was retrieved from breast cancer dataset on UCI machine learning repository).\n\nFeatures are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the imag... | [
"TAGS\n#license-cc-by-sa-4.0 #region-us \n",
"## Breast Cancer Wisconsin Diagnostic Dataset\n\nFollowing description was retrieved from breast cancer dataset on UCI machine learning repository).\n\nFeatures are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe charact... | [
17,
380
] | [
"passage: TAGS\n#license-cc-by-sa-4.0 #region-us \n## Breast Cancer Wisconsin Diagnostic Dataset\n\nFollowing description was retrieved from breast cancer dataset on UCI machine learning repository).\n\nFeatures are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe char... |
b117dd2aa2e83a93034457b51702431582f0523e |
# Dataset description
This dataset was created for fine-tuning the model [robbert-base-v2-NER-NL-legislation-refs](https://huggingface.co/romjansen/robbert-base-v2-NER-NL-legislation-refs) and consists of 512 token long examples which each contain one or more legislation references. These examples were created fr... | romjansen/robbert-base-v2-NER-NL-legislation-refs-data | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"region:us"
] | 2022-06-20T13:29:28+00:00 | {"multilinguality": ["monolingual"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "train-eval-index": [{"task": "token-classification", "task_id": "entity_extraction", "splits": {"train_split": "train", "eval_split": "test", "val_split": "validation"}, "col_mapping": {"tokens":... | 2022-06-20T13:30:40+00:00 | [] | [] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #region-us
|
# Dataset description
This dataset was created for fine-tuning the model robbert-base-v2-NER-NL-legislation-refs and consists of 512 token long examples which each contain one or more legislation references. These examples were created from a weakly labelled corpus of Dutch case law which was scraped from Linked ... | [
"# Dataset description\n \nThis dataset was created for fine-tuning the model robbert-base-v2-NER-NL-legislation-refs and consists of 512 token long examples which each contain one or more legislation references. These examples were created from a weakly labelled corpus of Dutch case law which was scraped from Lin... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #region-us \n",
"# Dataset description\n \nThis dataset was created for fine-tuning the model robbert-base-v2-NER-NL-legislation-refs and consists of 512 token long examples which each contain one or more... | [
41,
153
] | [
"passage: TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #region-us \n# Dataset description\n \nThis dataset was created for fine-tuning the model robbert-base-v2-NER-NL-legislation-refs and consists of 512 token long examples which each contain one or m... |
fbeef6ec0e6fd88a5028b94683144000a6b380d5 | ## Adult Census Income Dataset
The following was retrieved from [UCI machine learning repository](https://archive.ics.uci.edu/ml/datasets/adult).
This data was extracted from the 1994 Census bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics). A set of reasonably clean re... | scikit-learn/adult-census-income | [
"license:cc0-1.0",
"region:us"
] | 2022-06-20T13:33:51+00:00 | {"license": "cc0-1.0"} | 2022-06-20T13:46:43+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
| ## Adult Census Income Dataset
The following was retrieved from UCI machine learning repository.
This data was extracted from the 1994 Census bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics). A set of reasonably clean records was extracted using the following condition... | [
"## Adult Census Income Dataset\nThe following was retrieved from UCI machine learning repository.\n\nThis data was extracted from the 1994 Census bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics). A set of reasonably clean records was extracted using the following c... | [
"TAGS\n#license-cc0-1.0 #region-us \n",
"## Adult Census Income Dataset\nThe following was retrieved from UCI machine learning repository.\n\nThis data was extracted from the 1994 Census bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics). A set of reasonably clean r... | [
14,
367
] | [
"passage: TAGS\n#license-cc0-1.0 #region-us \n## Adult Census Income Dataset\nThe following was retrieved from UCI machine learning repository.\n\nThis data was extracted from the 1994 Census bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics). A set of reasonably clea... |
beb7bb2c4e1b6245320773dccbe5e5a281aff9ed | ## Student Alcohol Consumption Dataset
A dataset on social, gender and study data from secondary school students.
Following was retrieved from [UCI machine learning repository](https://www.kaggle.com/datasets/uciml/student-alcohol-consumption).
**Context:**
The data were obtained in a survey of students math and port... | scikit-learn/student-alcohol-consumption | [
"license:cc0-1.0",
"region:us"
] | 2022-06-20T13:49:55+00:00 | {"license": "cc0-1.0"} | 2022-06-20T13:53:46+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
| ## Student Alcohol Consumption Dataset
A dataset on social, gender and study data from secondary school students.
Following was retrieved from UCI machine learning repository.
Context:
The data were obtained in a survey of students math and portuguese language courses in secondary school. It contains a lot of interes... | [] | [
"TAGS\n#license-cc0-1.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-cc0-1.0 #region-us \n"
] |
f809522649eaf948ad40a11ed575c4bb4d4460c1 | ## Default of Credit Card Clients Dataset
The following was retrieved from [UCI machine learning repository](https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients).
**Dataset Information**
This dataset contains information on default payments, demographic factors, credit data, history of payment, and... | scikit-learn/credit-card-clients | [
"license:cc0-1.0",
"region:us"
] | 2022-06-20T13:57:10+00:00 | {"license": "cc0-1.0"} | 2022-06-20T14:42:14+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
| ## Default of Credit Card Clients Dataset
The following was retrieved from UCI machine learning repository.
Dataset Information
This dataset contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan from April 2005 to September... | [] | [
"TAGS\n#license-cc0-1.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-cc0-1.0 #region-us \n"
] |
b948f584042b95d8572420848e8e88e0f2f76552 |
# Dataset Card for "huggingartists/headie-one"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How to use](#how-to-use)
- [Dataset Structure](#dataset-str... | huggingartists/headie-one | [
"language:en",
"huggingartists",
"lyrics",
"region:us"
] | 2022-06-20T14:09:53+00:00 | {"language": ["en"], "tags": ["huggingartists", "lyrics"]} | 2022-10-25T09:32:29+00:00 | [] | [
"en"
] | TAGS
#language-English #huggingartists #lyrics #region-us
| Dataset Card for "huggingartists/headie-one"
============================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* How to use
* Dataset Structure
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Ration... | [
"### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets librar... | [
"TAGS\n#language-English #huggingartists #lyrics #region-us \n",
"### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nen\n\n\nHow to use\n-------... | [
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"passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\n... |
7fab85641573a03b1c6f6acd8e2150caf012e681 | # AutoTrain Dataset for project: yes-or-no-classifier-on-circa
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project yes-or-no-classifier-on-circa.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this da... | Siddish/autotrain-data-yes-or-no-classifier-on-circa | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2022-06-20T14:40:14+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2022-10-25T09:32:35+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: yes-or-no-classifier-on-circa
============================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project yes-or-no-classifier-on-circa.
### Languages
The BCP-47 code for the dataset's ... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\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 da... | [
"TAGS\n#task_categories-text-classification #language-English #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\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 f... | [
21,
26,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-text-classification #language-English #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\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 ... |
dd1c513551d0f5f6f7c2caa85bf538352f6b87d8 |
# Try to include an iframe
from observable:
<iframe width="100%" height="635" frameborder="0"
src="https://observablehq.com/embed/@d3/sortable-bar-chart?cell=viewof+order&cell=chart"></iframe>
from an HF space:
<iframe src="https://hf.space/embed/YoannLemesle/CLIPictionary/+?__theme=system" data-src="https://... | severo/fix-401 | [
"region:us"
] | 2022-06-20T15:04:10+00:00 | {"viewer": false} | 2022-06-24T10:45:48+00:00 | [] | [] | TAGS
#region-us
|
# Try to include an iframe
from observable:
<iframe width="100%" height="635" frameborder="0"
src="URL
from an HF space:
<iframe src="URL data-src="URL data-sdk="gradio" title="Gradio app" class="container p-0 flex-grow overflow-hidden space-iframe" allow="accelerometer; ambient-light-sensor; autoplay; batter... | [
"# Try to include an iframe\n\nfrom observable:\n\n<iframe width=\"100%\" height=\"635\" frameborder=\"0\"\n src=\"URL\n\n\nfrom an HF space:\n \n<iframe src=\"URL data-src=\"URL data-sdk=\"gradio\" title=\"Gradio app\" class=\"container p-0 flex-grow overflow-hidden space-iframe\" allow=\"accelerometer; ambient-... | [
"TAGS\n#region-us \n",
"# Try to include an iframe\n\nfrom observable:\n\n<iframe width=\"100%\" height=\"635\" frameborder=\"0\"\n src=\"URL\n\n\nfrom an HF space:\n \n<iframe src=\"URL data-src=\"URL data-sdk=\"gradio\" title=\"Gradio app\" class=\"container p-0 flex-grow overflow-hidden space-iframe\" allow=... | [
6,
276
] | [
"passage: TAGS\n#region-us \n# Try to include an iframe\n\nfrom observable:\n\n<iframe width=\"100%\" height=\"635\" frameborder=\"0\"\n src=\"URL\n\n\nfrom an HF space:\n \n<iframe src=\"URL data-src=\"URL data-sdk=\"gradio\" title=\"Gradio app\" class=\"container p-0 flex-grow overflow-hidden space-iframe\" all... |
ce5e8e8c81bb23fbcc915652d0ce0721ebf285cd |
## Code snippet to visualise the position of the box
```python
import matplotlib.image as img
import matplotlib.pyplot as plt
from datasets import load_dataset
from matplotlib.patches import Rectangle
# Load dataset
ds_name = "SaulLu/Stanford-Cars"
ds = load_dataset(ds_name, use_auth_token=True)
# Extract information... | HuggingFaceM4/Stanford-Cars | [
"region:us"
] | 2022-06-20T16:46:35+00:00 | {} | 2022-06-21T14:58:52+00:00 | [] | [] | TAGS
#region-us
|
## Code snippet to visualise the position of the box
Result:
!Sample with box position | [
"## Code snippet to visualise the position of the box\n\n\n\nResult: \n!Sample with box position"
] | [
"TAGS\n#region-us \n",
"## Code snippet to visualise the position of the box\n\n\n\nResult: \n!Sample with box position"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n## Code snippet to visualise the position of the box\n\n\n\nResult: \n!Sample with box position"
] |
f5ae276ea803a96fc923ea583f3f4f048117336c | ```python
from datasets import load_dataset, DatasetDict
ds = load_dataset("anton-l/earnings22_robust", split="test")
print(ds)
print("\n", "Split to ==>", "\n")
# split train 90%/ dev 5% / test 5%
# split twice and combine
train_devtest = ds.train_test_split(shuffle=True, seed=1, test_size=0.1)
dev_test = train_devtes... | sanchit-gandhi/earnings22_robust_split | [
"region:us"
] | 2022-06-20T17:49:31+00:00 | {} | 2022-06-21T13:08:18+00:00 | [] | [] | TAGS
#region-us
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] | |
9880353aa4e35baf9e6a6d06ace7f081e8f8f4b7 |
# Dataset Card for the Dog 🐶 vs. Food 🍔 (a.k.a. Dog Food) Dataset
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)... | sasha/dog-food | [
"task_categories:image-classification",
"task_ids:multi-class-image-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | 2022-06-20T17:54:18+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["image-classification"], "task_ids": ["multi-class-image-classification"], "pretty_nam... | 2022-10-25T09:32:37+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-classification #task_ids-multi-class-image-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #region-us
|
# Dataset Card for the Dog vs. Food (a.k.a. Dog Food) Dataset
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Sou... | [
"# Dataset Card for the Dog vs. Food (a.k.a. Dog Food) Dataset",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curatio... | [
"TAGS\n#task_categories-image-classification #task_ids-multi-class-image-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #region-us \n",
"# Dataset Card for the Dog vs. Food (a... | [
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"passage: TAGS\n#task_categories-image-classification #task_ids-multi-class-image-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #region-us \n# Dataset Card for the Dog vs. Food ... |
b89f4b2a94d1795f0ebc7ae4e5928ba86f31616d | This repository contains dataset used in the BPMN-Redrawer project.
The original 663 BPMN models are available on the RePROSitory platform: https://pros.unicam.it:4200/guest/collection/bpmn_redrawer
Additional 165 BPMN models have been designed, and are uploaded here in the BPMN Models folder. Such models have been d... | PROSLab/BPMN-Redrawer-Dataset | [
"region:us"
] | 2022-06-20T18:42:29+00:00 | {} | 2022-06-21T18:38:21+00:00 | [] | [] | TAGS
#region-us
| This repository contains dataset used in the BPMN-Redrawer project.
The original 663 BPMN models are available on the RePROSitory platform: URL
Additional 165 BPMN models have been designed, and are uploaded here in the BPMN Models folder. Such models have been designed to augment the amount of instances of elements ... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
e5bfcb48a0f197f77c6a86c1ad914cfc44dfca40 | # Playlist Generator Dataset
This dataset contains three files, used in the [Playlist Generator](https://huggingface.co/spaces/NimaBoscarino/playlist-generator) space. Visit the blog post to learn more about the project: https://huggingface.co/blog/your-first-ml-project
1. `verse-embeddings.pkl` contains Sentence Tra... | NimaBoscarino/playlist-generator | [
"region:us"
] | 2022-06-20T19:15:15+00:00 | {} | 2022-07-10T18:30:43+00:00 | [] | [] | TAGS
#region-us
| # Playlist Generator Dataset
This dataset contains three files, used in the Playlist Generator space. Visit the blog post to learn more about the project: URL
1. 'URL' contains Sentence Transformer embeddings for each verse for each song in a private (unreleased) dataset of song lyrics. The embeddings were generated ... | [
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be6febb761b0b2807687e61e0b5282e459df2fa0 |
# Details
Fact Verification dataset created for [Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence](https://aclanthology.org/2021.naacl-main.52/) (Schuster et al., NAACL 21`) based on Wikipedia edits (revisions).
For more details see: https://github.com/TalSchuster/VitaminC
When using this datas... | tals/vitaminc | [
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"language:en",
"license:cc-by-sa-3.0",
"region:us"
] | 2022-06-21T00:22:38+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["fact-checking", "natural-language-inference"], "pretty_name": "Vit... | 2022-07-01T18:58:42+00:00 | [] | [
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|
# Details
Fact Verification dataset created for Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence (Schuster et al., NAACL 21') based on Wikipedia edits (revisions).
For more details see: URL
When using this dataset, please cite the paper:
# BibTeX entry and citation info
| [
"# Details\nFact Verification dataset created for Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence (Schuster et al., NAACL 21') based on Wikipedia edits (revisions).\n\nFor more details see: URL\n\nWhen using this dataset, please cite the paper:",
"# BibTeX entry and citation info"
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9234ac0edd75064e324fde8770814ac928c18134 | # MWP-Dataset
English-Sinhala-Tamil Math Word Problem Dataset
## File Structure
- Simple-English.txt -> Simple English Math Word Problems
- Simple-Sinhala.txt -> Simple Sinhala Math Word Problems
- Simple-Tamil.txt -> Simple Tamil Math Word Problems
- Algebraic-English.txt -> Algebraic English Math Word Problems
- Alg... | NLPC-UOM/MWP_Dataset | [
"task_categories:text-generation",
"language:si",
"language:ta",
"language:en",
"license:mit",
"region:us"
] | 2022-06-21T03:34:56+00:00 | {"language": ["si", "ta", "en"], "license": ["mit"], "task_categories": ["neural-machine-translation", "text-generation"]} | 2022-10-23T05:16:44+00:00 | [] | [
"si",
"ta",
"en"
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#task_categories-text-generation #language-Sinhala #language-Tamil #language-English #license-mit #region-us
| # MWP-Dataset
English-Sinhala-Tamil Math Word Problem Dataset
## File Structure
- URL -> Simple English Math Word Problems
- URL -> Simple Sinhala Math Word Problems
- URL -> Simple Tamil Math Word Problems
- URL -> Algebraic English Math Word Problems
- URL -> Algebraic Sinhala Math Word Problems
- URL -> Algebraic T... | [
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"## File Structure\n\n- URL -> Simple English Math Word Problems\n- URL -> Simple Sinhala Math Word Problems\n- URL -> Simple Tamil Math Word Problems\n- URL -> Algebraic English Math Word Problems\n- URL -> Algebraic Sinhala Math Word Problems\n- ... | [
"TAGS\n#task_categories-text-generation #language-Sinhala #language-Tamil #language-English #license-mit #region-us \n",
"# MWP-Dataset\nEnglish-Sinhala-Tamil Math Word Problem Dataset",
"## File Structure\n\n- URL -> Simple English Math Word Problems\n- URL -> Simple Sinhala Math Word Problems\n- URL -> Simple... | [
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"passage: TAGS\n#task_categories-text-generation #language-Sinhala #language-Tamil #language-English #license-mit #region-us \n# MWP-Dataset\nEnglish-Sinhala-Tamil Math Word Problem Dataset## File Structure\n\n- URL -> Simple English Math Word Problems\n- URL -> Simple Sinhala Math Word Problems\n- URL -> Simple Ta... |
7f07e820c69acd028b443745e0c13e1170a5e09d |
# Dataset Card for Nexdata/North_American_English_Speech_Data_by_Mobile_Phone_and_PC
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Langu... | Nexdata/North_American_English_Speech_Data_by_Mobile_Phone_and_PC | [
"region:us"
] | 2022-06-21T05:18:33+00:00 | {"YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-08-31T01:30:23+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Nexdata/North_American_English_Speech_Data_by_Mobile_Phone_and_PC
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curat... | [
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"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset ... | [
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7803a1ae5064439bbadfaf4e53a8d93824437456 |
# Dataset Card for Nexdata/Mandarin_Conversational_Speech_Data_by_Mobile_Phone_and_Voice_Recorder
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboard... | Nexdata/Mandarin_Conversational_Speech_Data_by_Mobile_Phone_and_Voice_Recorder | [
"region:us"
] | 2022-06-21T05:24:54+00:00 | {"YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-08-31T01:21:35+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Nexdata/Mandarin_Conversational_Speech_Data_by_Mobile_Phone_and_Voice_Recorder
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creat... | [
"# Dataset Card for Nexdata/Mandarin_Conversational_Speech_Data_by_Mobile_Phone_and_Voice_Recorder",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Split... | [
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"# Dataset Card for Nexdata/Mandarin_Conversational_Speech_Data_by_Mobile_Phone_and_Voice_Recorder",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Da... | [
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efbbc8d503ba6223d30111bab60bf1a9bb594d96 | # 1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone
## Description
2000 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line wi... | Nexdata/American_English_Natural_Dialogue_Speech_Data | [
"task_categories:conversational",
"task_categories:automatic-speech-recognition",
"language:en",
"region:us"
] | 2022-06-21T05:27:14+00:00 | {"language": ["en"], "task_categories": ["conversational", "automatic-speech-recognition"], "YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2024-01-26T09:47:01+00:00 | [] | [
"en"
] | TAGS
#task_categories-conversational #task_categories-automatic-speech-recognition #language-English #region-us
| # 1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone
## Description
2000 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line wi... | [
"# 1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone",
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"# 1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone",
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