sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1b1f1f2a456fc59a8c9260f800d7098a34183419 |
Retrieving the 50th example from the train set:
```
> print(dataset['train']['sentence1'][0][50])
Muž hrá na gitare.
> print(dataset['train']['sentence2'][0][50])
Chlapec hrá na gitare.
> print(dataset['train']['similarity_score'][0][50])
3.200000047683716
```
For score explanation see [stsb_multi_mt](https://hugg... | crabz/stsb-sk | [
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] | 2022-03-16T10:20:28+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["sk"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|stsb_multi_mt"], "task_categories": ["text-scoring"], "task_ids": ["semantic-similarity-scoring"], "pretty_na... | 2022-10-23T04:13:41+00:00 | [] | [
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|
Retrieving the 50th example from the train set:
For score explanation see stsb_multi_mt.
| [] | [
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] |
45c0c4a3404059175269c9dacfe00cb88b3a5a89 |
# Dataset Card for NMSQA(Natural Multi-speaker Spoken Question Answering)
## 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](#lang... | voidful/NMSQA | [
"task_categories:question-answering",
"task_categories:automatic-speech-recognition",
"task_ids:abstractive-qa",
"annotations_creators:crowdsourced",
"annotations_creators:machine-generated",
"language_creators:expert-generated",
"language_creators:machine-generated",
"language_creators:crowdsourced",... | 2022-03-16T16:03:42+00:00 | {"annotations_creators": ["crowdsourced", "machine-generated"], "language_creators": ["expert-generated", "machine-generated", "crowdsourced"], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["question-answering"... | 2023-04-04T03:46:23+00:00 | [
"2203.04911"
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] | TAGS
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# Dataset Card for NMSQA(Natural Multi-speaker Spoken Question Answering)
## 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... | [
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1190b855bc90372a9571b3c59847f42d1675a2fe | # AutoNLP Dataset for project: devign_raw_test
## Dataset Descritpion
This dataset has been automatically processed by AutoNLP for project devign_raw_test.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json... | nimaster/autonlp-data-devign_raw_test | [
"task_categories:text-classification",
"region:us"
] | 2022-03-17T13:06:22+00:00 | {"task_categories": ["text-classification"], "languages": ["en"]} | 2022-03-17T13:07:49+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoNLP Dataset for project: devign\_raw\_test
==============================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoNLP for project devign\_raw\_test.
### Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
------... | [
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43aa565bcc88b801013e7a3882eee40713e7c725 | **X-SCITLDR**: Cross-Lingual Extreme Summarization of Scholarly Documents
# X-SCITLDR
The number of scientific publications nowadays is rapidly increasing, causing information overload for researchers and making it hard for scholars to keep up to date with current trends and lines of work. Consequently, recent work o... | umanlp/xscitldr | [
"region:us"
] | 2022-03-17T14:30:16+00:00 | {} | 2022-07-04T12:49:25+00:00 | [] | [] | TAGS
#region-us
| X-SCITLDR: Cross-Lingual Extreme Summarization of Scholarly Documents
# X-SCITLDR
The number of scientific publications nowadays is rapidly increasing, causing information overload for researchers and making it hard for scholars to keep up to date with current trends and lines of work. Consequently, recent work on ap... | [
"# X-SCITLDR\n\nThe number of scientific publications nowadays is rapidly increasing, causing information overload for researchers and making it hard for scholars to keep up to date with current trends and lines of work. Consequently, recent work on applying text mining technologies for scholarly publications has i... | [
"TAGS\n#region-us \n",
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f5b8eff44796cdd3a3c9ebb77383051adae4abc7 |
kaggle datasets | ttxy/kaggle | [
"license:apache-2.0",
"region:us"
] | 2022-03-17T15:02:27+00:00 | {"license": "apache-2.0"} | 2022-03-17T16:00:50+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
kaggle datasets | [] | [
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] | [
14
] | [
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4d1d66c78bfe1ad870fb21f7e7837103b43c42c7 | - `tweet_disaster`, 8562 | ttxy/nlp | [
"region:us"
] | 2022-03-17T15:59:17+00:00 | {} | 2022-07-24T04:58:39+00:00 | [] | [] | TAGS
#region-us
| - 'tweet_disaster', 8562 | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
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adb147bd12398f9d56a652005f4895c6b7100ebe | Texto perteneciente a todos los BOE (Boletin Oficial del Estado, España) desde 13 de enero del 2020 al 16 de febrero del 2022.
Separador '|'
Columnas: año | mes | dia | texto del BOE | tamaño | nombre pdf del BOE | Paulosdeanllons/ODS_BOE | [
"license:afl-3.0",
"region:us"
] | 2022-03-18T08:48:15+00:00 | {"license": "afl-3.0"} | 2022-03-23T13:52:31+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
| Texto perteneciente a todos los BOE (Boletin Oficial del Estado, España) desde 13 de enero del 2020 al 16 de febrero del 2022.
Separador '|'
Columnas: año | mes | dia | texto del BOE | tamaño | nombre pdf del BOE | [] | [
"TAGS\n#license-afl-3.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-afl-3.0 #region-us \n"
] |
2e1dc06ac448fac1fe3c032a8919735353d80f58 |
# 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... | malteos/test-ds | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"size_categories:unknown",
"region:us"
] | 2022-03-18T10:02:26+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en-US"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": [], "pretty_name": "test ds"} | 2022-10-25T09:03:23+00:00 | [] | [
"en-US"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #size_categories-unknown #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
- P... | [
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d62cc9c9bad06319b45ec81ba7d840fd1bc63894 |
# 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... | malteos/test2 | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"region:us"
] | 2022-03-18T10:18:42+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["conditional-text-generation"], "task_ids": ["summarization"], "paperswith... | 2022-10-23T04:14:36+00:00 | [] | [
"en"
] | TAGS
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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 Rationale
- Source Data
- Annotations
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f7a3fbcdaec21897a76a04cf78ecd94149444327 | This contains crawled ecommerce data from Common Crawl
| elena-soare/crawled-ecommerce | [
"region:us"
] | 2022-03-18T11:19:43+00:00 | {} | 2022-04-04T09:35:10+00:00 | [] | [] | TAGS
#region-us
| This contains crawled ecommerce data from Common Crawl
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
6dfbbdc8bf9da9500f8eaa2eeb13f150186941d0 |
<p align="center"><img src="https://huggingface.co/datasets/cfilt/HiNER-collapsed/raw/main/cfilt-dark-vec.png" alt="Computation for Indian Language Technology Logo" width="150" height="150"/></p>
# IWN Wordlists
[](http... | cfilt/iwn_wordlists | [
"task_categories:token-classification",
"annotations_creators:Shivam Mhaskar, Diptesh Kanojia",
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"source_datasets:original",
"language:as",
"language:bn",
"language:mni",
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"langua... | 2022-03-18T11:56:41+00:00 | {"annotations_creators": ["Shivam Mhaskar, Diptesh Kanojia"], "language_creators": ["found"], "language": ["as", "bn", "mni", "gu", "hi", "kn", "ks", "kok", "ml", "mr", "or", "ne", "pa", "sa", "ta", "te", "ur"], "license": "cc-by-nc-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_... | 2022-11-23T12:06:02+00:00 | [] | [
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<p align="center"><img src="URL alt="Computation for Indian Language Technology Logo" width="150" height="150"/></p>
# IWN Wordlists
 knowledge base.
## Usage
| [
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"## Usage"
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329f8440b131659c97299b2a4cdf38779082e14f | # Parallel Sentences for Spanish language
This repository contains parallel sentences (English + same sentences in Spanish language) in a simple tsv.gz format:
```
english_sentences\tsentence_in_spanish_language
```
## Usage
These sentences can be used to train multi-lingual sentence embedding models. For more detai... | hackathon-pln-es/parallel-sentences | [
"region:us"
] | 2022-03-18T18:08:37+00:00 | {} | 2022-04-02T17:38:29+00:00 | [] | [] | TAGS
#region-us
| # Parallel Sentences for Spanish language
This repository contains parallel sentences (English + same sentences in Spanish language) in a simple URL format:
## Usage
These sentences can be used to train multi-lingual sentence embedding models. For more details, you could check out URL - Multilingual-Model | [
"# Parallel Sentences for Spanish language\n\nThis repository contains parallel sentences (English + same sentences in Spanish language) in a simple URL format:",
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f888d2a1df5a5f11cde2832710cc0d9e59b3b132 | ## Generation procedure
The dataset was constructed using documents from [the Pile](https://pile.eleuther.ai/) scored using [LDNOOBW](https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words) wordlist (a score is number of curses per character).
The procedure was the following:
1. The first h... | tomekkorbak/pile-curse-full | [
"region:us"
] | 2022-03-18T23:17:53+00:00 | {} | 2022-03-23T20:05:15+00:00 | [] | [] | TAGS
#region-us
| ## Generation procedure
The dataset was constructed using documents from the Pile scored using LDNOOBW wordlist (a score is number of curses per character).
The procedure was the following:
1. The first half of the data are 100k documents randomly sampled from the Pile and assigned scores
2. The second half are the ... | [
"## Generation procedure\n\nThe dataset was constructed using documents from the Pile scored using LDNOOBW wordlist (a score is number of curses per character). \n\nThe procedure was the following:\n1. The first half of the data are 100k documents randomly sampled from the Pile and assigned scores\n2. The second ha... | [
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9d4d238fbdad8ccfc9058cdcda552527f54bca2a |
# Dataset Card for CCMatrix v1
## 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... | yhavinga/ccmatrix | [
"task_categories:text2text-generation",
"task_categories:translation",
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"multilinguality:multilingual",
"source_datasets:original",
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"language:am",
"language:ar",
"language:ast",
"language:az",
"language:be",
"language:bg"... | 2022-03-19T08:54:43+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["af", "am", "ar", "ast", "az", "be", "bg", "bn", "br", "ca", "ceb", "cs", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fr", "fy", "ga", "gd", "gl", "ha", "he", "hi", "hr", "hu", "hy", "id", "ig", "ilo", "is", "it", "j... | 2023-03-09T07:44:58+00:00 | [
"1911.04944",
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"... | TAGS
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# Dataset Card for CCMatrix v1
## 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 and Sensitive I... | [
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24d41c732de80b4b883f8e279d484a6d4b5eb017 |
# Dataset Card for MESD
## 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 Fi... | hackathon-pln-es/MESD | [
"license:cc-by-4.0",
"region:us"
] | 2022-03-19T18:39:32+00:00 | {"license": "cc-by-4.0", "Duville, Mathilde Marie; Alonso-Valerdi, Luz Maria; Ibarra, David (2022), \u201cMexican Emotional Speech Database (MESD)\u201d, Mendeley Data, V5, doi": "10.17632/cy34mh68j9.5"} | 2022-03-25T18:15:07+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
# Dataset Card for MESD
## 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 Sensitive Informati... | [
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bc865c50d83a257b7458e3c97ad16533fb491287 | ACLED Dataset for Summarization Task - CSE635 (University at Buffalo)
Actor Description
- 0: N/A
- 1: State Forces
- 2: Rebel Groups
- 3: Political Militias
- 4: Identity Militias
- 5: Rioters
- 6: Protesters
- 7: Civilians
- 8: External/Other Forces | vinaykudari/acled-token-summary | [
"region:us"
] | 2022-03-20T00:39:18+00:00 | {} | 2022-03-20T00:47:22+00:00 | [] | [] | TAGS
#region-us
| ACLED Dataset for Summarization Task - CSE635 (University at Buffalo)
Actor Description
- 0: N/A
- 1: State Forces
- 2: Rebel Groups
- 3: Political Militias
- 4: Identity Militias
- 5: Rioters
- 6: Protesters
- 7: Civilians
- 8: External/Other Forces | [] | [
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6
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213f66c68c9410d717ec0b9ad13abd5c67100b7f |
# Dataset Card for PMC Open Access XML
## 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)
- [Da... | TomTBT/pmc_open_access_xml | [
"task_categories:text-classification",
"task_categories:summarization",
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"multilinguality:monolingual",
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"source_datasets:original",
"language:en",
"license:cc0-1.0",
"l... | 2022-03-20T09:47:21+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc0-1.0", "cc-by-4.0", "cc-by-sa-4.0", "cc-by-nc-4.0", "cc-by-nd-4.0", "cc-by-nc-nd-4.0", "cc-by-nc-sa-4.0", "unknown", "other"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "... | 2024-01-17T16:52:45+00:00 | [] | [
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# Dataset Card for PMC Open Access XML
## 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 Sensitive Informatio... | [
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030caa10ace4b5c8f5084b70fe6bc281c44cc579 |
Hyperion Cloud imagery from the hyperspectral imager | jacobbieker/hyperion-clouds | [
"license:mit",
"region:us"
] | 2022-03-21T08:29:52+00:00 | {"license": "mit"} | 2023-12-23T11:28:31+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Hyperion Cloud imagery from the hyperspectral imager | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
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58aafbe2712ff481c014f562e42723f2820fd5d4 |
# Dataset Card for Monash Time Series Forecasting Repository
## 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)
- [Dat... | monash_tsf | [
"task_categories:time-series-forecasting",
"task_ids:univariate-time-series-forecasting",
"task_ids:multivariate-time-series-forecasting",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"license:... | 2022-03-21T09:50:46+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["time-series-forecasting"], "task_ids": ["univariate-time-series-forecasting", "multivariate-tim... | 2023-06-13T12:26:34+00:00 | [] | [] | TAGS
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| Dataset Card for Monash Time Series Forecasting Repository
==========================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields... | [
"### Dataset Summary\n\n\nThe first comprehensive time series forecasting repository containing datasets of related time series to facilitate the evaluation of global forecasting models. All datasets are intended to use only for research purpose. Our repository contains 30 datasets including both publicly available... | [
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ccd927007e794cf0a8794aee8482c6dec66ff6fb | Twitter 3.21 | NoCaptain/MyTwitter | [
"region:us"
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b6a5fc413080ac48e2ad89fb86a0e4f624ec02e3 | Cleaned wikipedia dataset | blo05/cleaned_wiki_en | [
"region:us"
] | 2022-03-21T15:55:39+00:00 | {} | 2022-03-30T09:12:38+00:00 | [] | [] | TAGS
#region-us
| Cleaned wikipedia dataset | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
f55977a7a91fb5d406494b6b98ff236b36dfb8a0 |
# Dataset Card for LFQA Discourse
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fie... | fangyuan/lfqa_discourse | [
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|natural_questions",
"source_datasets:extended|eli5",
"license:cc-by-sa-4... | 2022-03-21T16:37:57+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated"], "language_creators": ["machine-generated", "found"], "language": ["en-US"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["extended|natural_questions", "extended|eli5"], "task_categories... | 2023-06-08T03:55:00+00:00 | [
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# Dataset Card for LFQA Discourse
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Additional Information
- Dataset Curators
- Licensing Information
- Citation Information
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b1cb0eb42393e09d5b9090c60a1f55d59273dbfb | # AutoNLP Dataset for project: pruebapoems
## Dataset Descritpion
This dataset has been automatically processed by AutoNLP for project pruebapoems.
### Languages
The BCP-47 code for the dataset's language is es.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
... | EALeon16/autonlp-data-pruebapoems | [
"task_categories:text-classification",
"language:es",
"region:us"
] | 2022-03-21T17:51:36+00:00 | {"language": ["es"], "task_categories": ["text-classification"]} | 2022-10-25T09:03:29+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-classification #language-Spanish #region-us
| AutoNLP Dataset for project: pruebapoems
========================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoNLP for project pruebapoems.
### Languages
The BCP-47 code for the dataset's language is es.
Dataset Structure
-----------------
### ... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is es.\n\n\nDataset Structure\n-----------------",
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"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
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dc52efd76d818fcd4d0a3b4cc1d6579486b92a0a |
La base de datos consta de una cantidad de 192 347 filas de datos para el entrenamiento, 33 944 para las pruebas y 22630 para la validación. Su contenido está compuesto por comentarios suicidas y comentarios normales de la red social Reddit traducidos al español, y obtenidos de la base de datos: Suicide and Depressio... | hackathon-pln-es/comentarios_depresivos | [
"license:cc-by-sa-4.0",
"region:us"
] | 2022-03-21T18:16:53+00:00 | {"license": "cc-by-sa-4.0"} | 2022-04-01T00:40:06+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
|
La base de datos consta de una cantidad de 192 347 filas de datos para el entrenamiento, 33 944 para las pruebas y 22630 para la validación. Su contenido está compuesto por comentarios suicidas y comentarios normales de la red social Reddit traducidos al español, y obtenidos de la base de datos: Suicide and Depressio... | [] | [
"TAGS\n#license-cc-by-sa-4.0 #region-us \n"
] | [
17
] | [
"passage: TAGS\n#license-cc-by-sa-4.0 #region-us \n"
] |
1b7f73b6c66efd03e28c7f409895c878684675b5 | Dataset descargado de la página kaggle.com.
El archivo original contenía información en inglés y posteriormente fue traducida para su uso.
El dataset contiene las columnas:
- Autor: corresponde al autor del poema.
- Contenido: contiene todo el poema.
- Nombre del poema: contiene el título del poema.
- Años: corre... | hackathon-pln-es/poems-es | [
"license:wtfpl",
"region:us"
] | 2022-03-21T18:36:23+00:00 | {"license": "wtfpl"} | 2022-03-27T17:39:08+00:00 | [] | [] | TAGS
#license-wtfpl #region-us
| Dataset descargado de la página URL.
El archivo original contenía información en inglés y posteriormente fue traducida para su uso.
El dataset contiene las columnas:
- Autor: corresponde al autor del poema.
- Contenido: contiene todo el poema.
- Nombre del poema: contiene el título del poema.
- Años: corresponde ... | [] | [
"TAGS\n#license-wtfpl #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-wtfpl #region-us \n"
] |
45c0b11a67f833a92e8e04fbaa2577e1c9f75a63 | #HourAI-data
Conversational data used to finetune HourAI
Parsed from: [omoito](https://dynasty-scans.com/series/omoito)
Added some testing conversations that looked ok as well. | archmagos/HourAI-data | [
"region:us"
] | 2022-03-22T11:40:11+00:00 | {} | 2022-03-22T20:26:21+00:00 | [] | [] | TAGS
#region-us
| #HourAI-data
Conversational data used to finetune HourAI
Parsed from: omoito
Added some testing conversations that looked ok as well. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
c35d0c6af81729ca8a1049b4c23674b276cb14ee | # NLI-TR for Supervised SimCSE
This dataset is a modified version of [NLI-TR](https://huggingface.co/datasets/nli_tr) dataset. Its intended use is to train Supervised [SimCSE](https://github.com/princeton-nlp/SimCSE) models for sentence-embeddings. Steps followed to produce this dataset are listed below:
1. Merge trai... | emrecan/nli_tr_for_simcse | [
"task_categories:text-classification",
"task_ids:semantic-similarity-scoring",
"task_ids:text-scoring",
"size_categories:100K<n<1M",
"source_datasets:nli_tr",
"language:tr",
"region:us"
] | 2022-03-22T12:01:59+00:00 | {"language": ["tr"], "size_categories": ["100K<n<1M"], "source_datasets": ["nli_tr"], "task_categories": ["text-classification"], "task_ids": ["semantic-similarity-scoring", "text-scoring"]} | 2023-01-25T16:56:04+00:00 | [] | [
"tr"
] | TAGS
#task_categories-text-classification #task_ids-semantic-similarity-scoring #task_ids-text-scoring #size_categories-100K<n<1M #source_datasets-nli_tr #language-Turkish #region-us
| # NLI-TR for Supervised SimCSE
This dataset is a modified version of NLI-TR dataset. Its intended use is to train Supervised SimCSE models for sentence-embeddings. Steps followed to produce this dataset are listed below:
1. Merge train split of snli_tr and multinli_tr subsets.
2. Find every premise that has an entailm... | [
"# NLI-TR for Supervised SimCSE\n\nThis dataset is a modified version of NLI-TR dataset. Its intended use is to train Supervised SimCSE models for sentence-embeddings. Steps followed to produce this dataset are listed below:\n1. Merge train split of snli_tr and multinli_tr subsets.\n2. Find every premise that has a... | [
"TAGS\n#task_categories-text-classification #task_ids-semantic-similarity-scoring #task_ids-text-scoring #size_categories-100K<n<1M #source_datasets-nli_tr #language-Turkish #region-us \n",
"# NLI-TR for Supervised SimCSE\n\nThis dataset is a modified version of NLI-TR dataset. Its intended use is to train Superv... | [
71,
153
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de49bc6dc80030d41ac50d2f3e981bbe78f51e47 | # :newspaper: The Spanish Fake News Corpus
![... | sayalaruano/FakeNewsCorpusSpanish | [
"region:us"
] | 2022-03-22T14:20:00+00:00 | {} | 2022-03-22T14:37:06+00:00 | [] | [] | TAGS
#region-us
| # :newspaper: The Spanish Fake News Corpus
!GitHub
!GitHub repo size
!GitHub last commit
!GitHub stars
## The Spanish Fake News Corpus Version 2.0 [[ FakeDeS Task @ Iberlef 2021 ]] :metal:
### Corpus Description
The Spanish Fake News Corpus Version 2.0 contains pairs of fake and true publications about di... | [
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"passage: ### Corpus Description\r\nThe Spanish Fake News Corpus Version 2.0 contai... |
8a03d6240ada811ba3d603f813b91d3be4553764 |
This dataset was obtained from: https://www.kaggle.com/datasets/arseniitretiakov/noticias-falsas-en-espaol
| sayalaruano/FakeNewsSpanish_Kaggle1 | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-03-22T14:53:20+00:00 | {"license": "cc-by-nc-sa-4.0"} | 2022-03-22T14:59:40+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
This dataset was obtained from: URL
| [] | [
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74fb40b34737bd14e40f2638ac00938243ec9ee3 |
This dataset was obtained from: https://www.kaggle.com/datasets/zulanac/fake-and-real-news | sayalaruano/FakeNewsSpanish_Kaggle2 | [
"license:cc-by-nc-sa-4.0",
"region:us"
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#license-cc-by-nc-sa-4.0 #region-us
|
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19
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421b0fbcfc6b450bea2364de6ace4e965cd98c8b | annotations_creators:
- machine-generated
language_creators:
- machine-generated
languages: []
licenses:
- mit
multilinguality: []
pretty_name: Mutli-Radar/Multi-System Precipitation Radar
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- time-series-forecasting
- image-classification
- image-s... | openclimatefix/mrms | [
"doi:10.57967/hf/0885",
"region:us"
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#doi-10.57967/hf/0885 #region-us
| annotations_creators:
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language_creators:
- machine-generated
languages: []
licenses:
- mit
multilinguality: []
pretty_name: Mutli-Radar/Multi-System Precipitation Radar
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- time-series-forecasting
- image-classification
- image-s... | [
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4f92928b7f48c7f12925055498f2ed92ac042e06 | Please cite: E. Cardenas., et al. “A Comparison of House Price Classification with Structured and Unstructured Text Data.” Published in AAAI FLAIRS-35. 2022. | erikacardenas300/Zillow-Text-Listings | [
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| Please cite: E. Cardenas., et al. “A Comparison of House Price Classification with Structured and Unstructured Text Data.” Published in AAAI FLAIRS-35. 2022. | [] | [
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549d7035f8df8bcd19d41ea355a4a775273b08e5 | This is the corpus file from the [BEIR benchmark](https://github.com/beir-cellar/beir) for the [TREC-COVID 19 dataset](https://ir.nist.gov/trec-covid/).
| nreimers/trec-covid | [
"region:us"
] | 2022-03-22T22:14:03+00:00 | {} | 2022-03-23T12:55:44+00:00 | [] | [] | TAGS
#region-us
| This is the corpus file from the BEIR benchmark for the TREC-COVID 19 dataset.
| [] | [
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e3e19a9a95b3464d2aa336ccf473b4d1cc7de76b | # Dataset Card for Fake-news-latam-omdena
## 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](#dat... | IsaacRodgz/Fake-news-latam-omdena | [
"region:us"
] | 2022-03-22T23:58:35+00:00 | {} | 2022-03-23T00:20:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for Fake-news-latam-omdena
## 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
- Annotation... | [
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abdbddf991d8dbc29adc013f26970ba3232fd712 | - Problem type: Summarization
languages:
- en
multilinguality:
- monolingual
task_ids:
- summarization
# MeQSum
Dataset for medical question summarization introduced in the ACL 2019 paper "On the Summarization of Consumer Health Questions": https://www.aclweb.org/anthology/P19-1215
### Citation Info... | sumedh/MeQSum | [
"license:apache-2.0",
"region:us"
] | 2022-03-23T04:21:51+00:00 | {"license": "apache-2.0"} | 2022-03-24T20:20:43+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| - Problem type: Summarization
languages:
- en
multilinguality:
- monolingual
task_ids:
- summarization
# MeQSum
Dataset for medical question summarization introduced in the ACL 2019 paper "On the Summarization of Consumer Health Questions": URL
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686600ca31931048cbb9f0acc98b83c29d0036b9 |
## WARNING: this dataset is an extract of the OSCAR dataset published here to simulate the use of the full dataset in low-resource contexts.
Using this dataset is equivalent to using a processed version of OSCAR legally speaking. I take no credit for the gathering of the original data and hence refer entirely to the o... | nthngdy/oscar-small | [
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"language:azb"... | 2022-03-23T09:26:03+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["af", "am", "ar", "arz", "as", "az", "azb", "ba", "be", "bg", "bn", "bo", "br", "ca", "ce", "ceb", "ckb", "cs", "cv", "cy", "da", "de", "dv", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fr", "fy", "ga", "gl", "gu", "he", "hi",... | 2023-03-08T09:57:45+00:00 | [
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## WARNING: this dataset is an extract of the OSCAR dataset published here to simulate the use of the full dataset in low-resource contexts.
Using this dataset is equivalent to using a processed version of OSCAR legally speaking. I take no credit for the gathering of the original data and hence refer entirely to the o... | [
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f2d4e2258fe51ace7062bbeb2a55ad1e890d1c72 |
# Licensing information
Apple MIT License (AML). | 10zinten/op_classical_corpus_bo | [
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"language:bo",
"license:other",
"region:us"
] | 2022-03-23T10:53:48+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["bo"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["extended|other"], "task_categories": ["sequence-modeling"], "task_ids": ["language-modeling"], "pretty_nam... | 2022-10-23T04:21:37+00:00 | [] | [
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# Licensing information
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] |
50da653240bbb86afedf9d408eae3c2f80aa646f | # GEM Submission
Submission name: This is a test name
| GEM-submissions/lewtun__this-is-a-test-name__1648048960 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-23T15:22:40+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "This is a test name", "tags": ["evaluation", "benchmark"]} | 2022-03-23T15:22:42+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test name
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f5cb9a55f7c4c9e07fa812b2dc21846fc3ffeb78 | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros}... | huggan/facades | [
"arxiv:1703.10593",
"region:us"
] | 2022-03-23T16:23:02+00:00 | {} | 2022-04-12T12:57:03+00:00 | [
"1703.10593"
] | [] | TAGS
#arxiv-1703.10593 #region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL
| [] | [
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14
] | [
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] |
0d523b5d1a1ab77e4a3a4d86b9cbb3b432dc804d | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/. | huggan/maps | [
"region:us"
] | 2022-03-23T17:05:03+00:00 | {} | 2022-04-12T12:54:14+00:00 | [] | [] | TAGS
#region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL | [] | [
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6
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0eae7d40a244b73068f68bb8f0fd7e456fceb66b | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros}... | huggan/cityscapes | [
"arxiv:1703.10593",
"region:us"
] | 2022-03-23T20:09:01+00:00 | {} | 2022-04-12T12:56:44+00:00 | [
"1703.10593"
] | [] | TAGS
#arxiv-1703.10593 #region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL
| [] | [
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14
] | [
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199e90c44cdbc4f8323367513796e07f75df272f | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros}... | huggan/ae_photos | [
"arxiv:1703.10593",
"region:us"
] | 2022-03-23T21:00:46+00:00 | {} | 2022-04-12T12:56:12+00:00 | [
"1703.10593"
] | [] | TAGS
#arxiv-1703.10593 #region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL
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14
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33b406a36ec2927e14c7afd65c598cc57ba77701 | ### dataset-list
The datasets in this dataset repository are from public datasets DeepMatcher,Magellan and WDC, which cover a variety of domains, such as product, citation and restaurant. Each dataset contains entities from two relational tables with multiple attributes, and a set of labeled matching/non-matching enti... | RUC-DataLab/ER-dataset | [
"region:us"
] | 2022-03-24T01:49:22+00:00 | {} | 2022-07-05T06:58:55+00:00 | [] | [] | TAGS
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11391706f44d60008a984b20fbc2a16ce392fa87 |
# liv4ever v1
This is the Livonian 4-lingual parallel corpus. Livonian is a Uralic / Finnic language with just about 20 fluent speakers and no native speakers (as of 2021). The texts and translations in this corpus were collected from all the digital text resources that could be found by the authors; scanned and prin... | tartuNLP/liv4ever | [
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# liv4ever v1
This is the Livonian 4-lingual parallel corpus. Livonian is a Uralic / Finnic language with just about 20 fluent speakers and no native speakers (as of 2021). The texts and translations in this corpus were collected from all the digital text resources that could be found by the authors; scanned and prin... | [
"# liv4ever v1\n\nThis is the Livonian 4-lingual parallel corpus. Livonian is a Uralic / Finnic language with just about 20 fluent speakers and no native speakers (as of 2021). The texts and translations in this corpus were collected from all the digital text resources that could be found by the authors; scanned an... | [
"TAGS\n#task_categories-text2text-generation #task_categories-translation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-translation #size_categories-unknown #source_datasets-original #language-English #language-Liv #license-cc-by-nc-sa-4.0 #conditional-text-generation #... | [
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639b92ed9b6f2c613185744d5e0d145e24b070b4 | #NQ-retrieval
This is a nicely formatted version of the [Natural Questions](https://ai.google.com/research/NaturalQuestions/) dataset, formatted to train and evaluate retrieval systems.
Each row contains the following entries:
- **question**: Original question send for Google Search Engine
- **title**: Title of... | sentence-transformers/NQ-retrieval | [
"region:us"
] | 2022-03-24T08:17:51+00:00 | {} | 2022-03-24T08:18:36+00:00 | [] | [] | TAGS
#region-us
| #NQ-retrieval
This is a nicely formatted version of the Natural Questions dataset, formatted to train and evaluate retrieval systems.
Each row contains the following entries:
- question: Original question send for Google Search Engine
- title: Title of Wikipedia article
- candidates: A list with the passages f... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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1c3412bf9133897681719c058d1dbcc9221e89f1 | # GEM Submission
Submission name: This is a test name
| GEM-submissions/lewtun__this-is-a-test-name__1648111972 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-24T08:52:52+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "This is a test name", "tags": ["evaluation", "benchmark"]} | 2022-03-24T08:52:55+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test name
| [
"# GEM Submission\n\nSubmission name: This is a test name"
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"TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n",
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c5589b86803b9ab1a3747272f6a729f5c22b1e1e | # GEM Submission
Submission name: This is a test name
| GEM-submissions/lewtun__this-is-a-test-name__1648137608 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-24T16:00:09+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "This is a test name", "tags": ["evaluation", "benchmark"]} | 2022-03-24T16:00:11+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test name
| [
"# GEM Submission\n\nSubmission name: This is a test name"
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"TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n",
"# GEM Submission\n\nSubmission name: This is a test name"
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"passage: TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n# GEM Submission\n\nSubmission name: This is a test name"
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5a3e6f4f6abdc2088363b7d4ececec81b3c8a053 | # Dataset Card for SpanishNLP
## 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-structu... | wesamhaddad14/spanishNLP | [
"region:us"
] | 2022-03-24T16:36:16+00:00 | {} | 2022-03-24T16:46:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for SpanishNLP
## 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
- Person... | [
"# Dataset Card for SpanishNLP",
"## 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 - Curation Rationale\n - Source Data\n - ... | [
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"# Dataset Card for SpanishNLP",
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0e7601c463d3048563ea8017d7162279f56333b1 |
# Dataset Card for SciDTB
## 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](#d... | DFKI-SLT/scidtb | [
"task_categories:token-classification",
"task_ids:parsing",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"region:us"
] | 2022-03-25T09:07:59+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["parsing"], "pretty_name": "Scientific Dependen... | 2022-10-25T05:38:25+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #task_ids-parsing #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-English #region-us
| Dataset Card for SciDTB
=======================
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 Sens... | [
"### Dataset Summary\n\n\nSciDTB is a domain-specific discourse treebank annotated on scientific articles written in English-language. Different from widely-used RST-DT and PDTB, SciDTB uses dependency trees to represent discourse structure, which is flexible and simplified to some extent but do not sacrifice struc... | [
"TAGS\n#task_categories-token-classification #task_ids-parsing #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-English #region-us \n",
"### Dataset Summary\n\n\nSciDTB is a domain-specific discourse treebank ... | [
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1eddac63112eee1fdf1966e0bca27a5ff248c772 | ## Overview
The original dataset can be found [here](https://www.dropbox.com/s/hylbuaovqwo2zav/nli_fever.zip?dl=0)
while the Github repo is [here](https://github.com/easonnie/combine-FEVER-NSMN/blob/master/other_resources/nli_fever.md).
This dataset has been proposed in [Combining fact extraction and verification with... | pietrolesci/nli_fever | [
"region:us"
] | 2022-03-25T10:01:17+00:00 | {} | 2022-04-25T08:03:28+00:00 | [] | [] | TAGS
#region-us
| ## Overview
The original dataset can be found here
while the Github repo is here.
This dataset has been proposed in Combining fact extraction and verification with neural semantic matching networks. This dataset has been created as a modification
of FEVER.
In the original FEVER setting, the input is a claim from Wiki... | [
"## Overview\nThe original dataset can be found here\nwhile the Github repo is here.\n\nThis dataset has been proposed in Combining fact extraction and verification with neural semantic matching networks. This dataset has been created as a modification\nof FEVER.\n\nIn the original FEVER setting, the input is a cla... | [
"TAGS\n#region-us \n",
"## Overview\nThe original dataset can be found here\nwhile the Github repo is here.\n\nThis dataset has been proposed in Combining fact extraction and verification with neural semantic matching networks. This dataset has been created as a modification\nof FEVER.\n\nIn the original FEVER se... | [
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"passage: TAGS\n#region-us \n## Overview\nThe original dataset can be found here\nwhile the Github repo is here.\n\nThis dataset has been proposed in Combining fact extraction and verification with neural semantic matching networks. This dataset has been created as a modification\nof FEVER.\n\nIn the original FEVER... |
a3923be8c49a8c8b5025737e64919faecc7576a7 | ## Overview
The original dataset can be found [here](https://github.com/swarnaHub/ConjNLI). It has been
proposed in [ConjNLI: Natural Language Inference Over Conjunctive Sentences](https://aclanthology.org/2020.emnlp-main.661/).
This dataset is a stress test for natural language inference over conjunctive sentences,
... | pietrolesci/conj_nli | [
"region:us"
] | 2022-03-25T10:17:37+00:00 | {} | 2022-04-25T12:27:25+00:00 | [] | [] | TAGS
#region-us
| ## Overview
The original dataset can be found here. It has been
proposed in ConjNLI: Natural Language Inference Over Conjunctive Sentences.
This dataset is a stress test for natural language inference over conjunctive sentences,
where the premise differs from the hypothesis by conjuncts removed, added, or replaced.
... | [
"## Overview\nThe original dataset can be found here. It has been\nproposed in ConjNLI: Natural Language Inference Over Conjunctive Sentences.\n\nThis dataset is a stress test for natural language inference over conjunctive sentences, \nwhere the premise differs from the hypothesis by conjuncts removed, added, or r... | [
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"passage: TAGS\n#region-us \n## Overview\nThe original dataset can be found here. It has been\nproposed in ConjNLI: Natural Language Inference Over Conjunctive Sentences.\n\nThis dataset is a stress test for natural language inference over conjunctive sentences, \nwhere the premise differs from the hypothesis by co... |
9cbf1e972349722deae84615618ee6ad4d41e36e | [![CC BY 4.0][cc-by-shield]][cc-by]
[](https://doi.org/10.5281/zenodo.6457824)
# GLARE: Google Apps Arabic Reviews
Dataset and Code of "GLARE: Google Apps Arabic Reviews" paper.
You can download the paper via: [[Github]](GLARE.pdf)
## Paper Summary
... | Fatima-Gh/GLARE | [
"region:us"
] | 2022-03-25T11:22:43+00:00 | {} | 2022-06-09T13:00:29+00:00 | [] | [] | TAGS
#region-us
| [](URL)
![DOI](URL
GLARE: Google Apps Arabic Reviews
=================================
Dataset and Code of "GLARE: Google Apps Arabic Reviews" paper.
You can download the paper via: [[Github]](URL)
Paper Summary
-------------
We introduce GLARE: Google Apps Arabic Reviews dataset. A collectio... | [
"#### Below is details about each file, please ensure that you have enough storage before downloading the data.\n\n\n\nFile Specifications\n-------------------\n\n\n* URL: File that contains apps metadata.\n* URL: File that contains reviews and reviews metadata.\n* categories/: Folder that contains 59 CSV files, ea... | [
"TAGS\n#region-us \n",
"#### Below is details about each file, please ensure that you have enough storage before downloading the data.\n\n\n\nFile Specifications\n-------------------\n\n\n* URL: File that contains apps metadata.\n* URL: File that contains reviews and reviews metadata.\n* categories/: Folder that ... | [
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34554c2cebd75f8104b5a8128d3685802793558c | # GEM Submission
Submission name: This is a test name
| GEM-submissions/lewtun__this-is-a-test-name__1648220072 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-25T14:54:36+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "This is a test name", "tags": ["evaluation", "benchmark"]} | 2022-03-25T14:54:37+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test name
| [
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dbe7278565c80d2528ff20554b26c1655ced9cdd |
# Dataset Card for roman_urdu_hate_speech
## 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)
- ... | roman_urdu_hate_speech | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:expert-generated",
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"... | 2022-03-25T15:51:45+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["ur"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "pre... | 2024-01-18T11:19:02+00:00 | [] | [
"ur"
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|
# Dataset Card for roman_urdu_hate_speech
## 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 Sensitive Informa... | [
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0d783a9fe5e53539e7bc40df462c5a641dd48ce3 | # Dataset Card for Winoground
## Dataset Description
Winoground is a novel task and dataset for evaluating the ability of vision and language models to conduct visio-linguistic compositional reasoning. Given two images and two captions, the goal is to match them correctly—but crucially, both captions contain a complet... | facebook/winoground | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"task_categories:image-classification",
"language:en",
"arxiv:2204.03162",
"region:us"
] | 2022-03-25T22:27:33+00:00 | {"language": ["en"], "task_categories": ["image-to-text", "text-to-image", "image-classification"], "pretty_name": "Winoground", "extra_gated_prompt": "By clicking on \u201cAccess repository\u201d below, you also agree that you are using it solely for research purposes. The full license agreement is available in the da... | 2023-11-02T17:15:41+00:00 | [
"2204.03162"
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"en"
] | TAGS
#task_categories-image-to-text #task_categories-text-to-image #task_categories-image-classification #language-English #arxiv-2204.03162 #region-us
| # Dataset Card for Winoground
## Dataset Description
Winoground is a novel task and dataset for evaluating the ability of vision and language models to conduct visio-linguistic compositional reasoning. Given two images and two captions, the goal is to match them correctly—but crucially, both captions contain a complet... | [
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"## Dataset Description\nWinoground is a novel task and dataset for evaluating the ability of vision and language models to conduct visio-linguistic compositional reasoning. Given two images and two captions, the goal is to match them correctly—but crucially, both captions contain... | [
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551df3187d04f5f7ea4d6ebf062d016a72a2680c |
# lang-uk's ner-uk dataset
A dataset for Ukrainian Named Entity Recognition.
The original dataset is located at https://github.com/lang-uk/ner-uk. All credit for creation of the dataset goes to the contributors of https://github.com/lang-uk/ner-uk.
# License
<a rel="license" href="http://creativecommons.org/licens... | benjamin/ner-uk | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"language:uk",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-03-26T10:10:50+00:00 | {"language": ["uk"], "license": "cc-by-nc-sa-4.0", "multilinguality": ["monolingual"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"]} | 2022-10-26T10:47:43+00:00 | [] | [
"uk"
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#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #language-Ukrainian #license-cc-by-nc-sa-4.0 #region-us
|
# lang-uk's ner-uk dataset
A dataset for Ukrainian Named Entity Recognition.
The original dataset is located at URL All credit for creation of the dataset goes to the contributors of URL
# License
<a rel="license" href="URL alt="Creative Commons License" style="border-width:0" src="https://i.URL /></a><br /><span ... | [
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264197c1d45d2aa4c8dc4e992e89e432a6e889c4 | name: **TRBLLmaker**
annotations_creators: found
language_creators: found
languages: en-US
licenses: Genius-Ventura-Toker
multilinguality: monolingual
source_datasets: original
task_categories: sequence-modeling
task_ids: sequence-modeling-seq2seq_generate
# Dataset Card for TRBLLmaker Dataset
## Table of C... | MorVentura/TRBLLmaker | [
"region:us"
] | 2022-03-26T17:29:20+00:00 | {"TODO": "Add YAML tags here."} | 2022-03-26T18:44:51+00:00 | [] | [] | TAGS
#region-us
| name: TRBLLmaker
annotations_creators: found
language_creators: found
languages: en-US
licenses: Genius-Ventura-Toker
multilinguality: monolingual
source_datasets: original
task_categories: sequence-modeling
task_ids: sequence-modeling-seq2seq_generate
# Dataset Card for TRBLLmaker Dataset
## Table of Conte... | [
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701f90e92dca56a28a7439406291a565c55576ef |
# Dataset Card for ESsnli
## 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 ... | medardodt/ESsnli | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:n<100K",
"source_datasets:extended|snli",
"region:us"
] | 2022-03-26T19:07:01+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "multilinguality": ["monolingual"], "size_categories": ["n<100K"], "source_datasets": ["extended|snli"], "task_categories": ["text-classification"], "task_ids": ["natural-language-inference"], "languages": ["es"], "licenses": ["cc-by-nc-s... | 2022-03-26T22:03:14+00:00 | [] | [] | TAGS
#task_categories-text-classification #task_ids-natural-language-inference #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-n<100K #source_datasets-extended|snli #region-us
|
# Dataset Card for ESsnli
## 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 Sensitive Informa... | [
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e7b37332d07b614d95d1dd7c99904f825180f08a |
## How to use the data sets
This dataset contains more than 16,000 unique pairs of protein sequences and ligand SMILES, and the coordinates
of their complexes.
SMILES are assumed to be tokenized by the regex from P. Schwaller
Every (x,y,z) ligand coordinate maps onto a SMILES token, and is *nan* if the token does n... | jglaser/pdbbind_complexes | [
"molecules",
"chemistry",
"SMILES",
"region:us"
] | 2022-03-26T21:30:56+00:00 | {"tags": ["molecules", "chemistry", "SMILES"]} | 2022-05-14T19:15:20+00:00 | [] | [] | TAGS
#molecules #chemistry #SMILES #region-us
|
## How to use the data sets
This dataset contains more than 16,000 unique pairs of protein sequences and ligand SMILES, and the coordinates
of their complexes.
SMILES are assumed to be tokenized by the regex from P. Schwaller
Every (x,y,z) ligand coordinate maps onto a SMILES token, and is *nan* if the token does n... | [
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204d96b91f91c546df38a2284d250eb346fe0c77 |
# Dataset Card for ekar_chinese
## 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 Fiel... | jiangjiechen/ekar_chinese | [
"task_categories:question-answering",
"task_categories:text-generation",
"task_ids:explanation-generation",
"size_categories:1K<n<2K",
"source_datasets:original",
"language:zh",
"license:afl-3.0",
"region:us"
] | 2022-03-27T05:00:49+00:00 | {"language": ["zh"], "license": ["afl-3.0"], "size_categories": ["1K<n<2K"], "source_datasets": ["original"], "task_categories": ["question-answering", "text-generation"], "task_ids": ["analogical-qa", "explanation-generation"]} | 2023-01-11T08:12:59+00:00 | [] | [
"zh"
] | TAGS
#task_categories-question-answering #task_categories-text-generation #task_ids-explanation-generation #size_categories-1K<n<2K #source_datasets-original #language-Chinese #license-afl-3.0 #region-us
| Dataset Card for ekar\_chinese
==============================
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
+ Per... | [
"### Dataset Summary\n\n\n*New!*(9/18/2022) E-KAR 'v1.1' is officially released (at the 'main' branch), with a higher-quality English dataset! In 'v1.1', we further improve the Chinese-to-English translation quality of the English E-KAR, with over 600 problems and over 1,000 explanations manually adjusted. You can ... | [
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"### Dataset Summary\n\n\n*New!*(9/18/2022) E-KAR 'v1.1' is officially released (at the 'main' branch),... | [
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a4aa3ae597a4308ef79cd34138a2ddeba611ed51 |
# Dataset Card for ekar_english
## 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 Fiel... | jiangjiechen/ekar_english | [
"task_categories:question-answering",
"task_categories:text-generation",
"task_ids:explanation-generation",
"size_categories:1K<n<2K",
"source_datasets:original",
"language:en",
"license:afl-3.0",
"region:us"
] | 2022-03-27T05:03:06+00:00 | {"language": ["en"], "license": ["afl-3.0"], "size_categories": ["1K<n<2K"], "source_datasets": ["original"], "task_categories": ["question-answering", "text-generation"], "task_ids": ["analogical-qa", "explanation-generation"]} | 2023-01-11T08:13:18+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text-generation #task_ids-explanation-generation #size_categories-1K<n<2K #source_datasets-original #language-English #license-afl-3.0 #region-us
| Dataset Card for ekar\_english
==============================
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
+ Per... | [
"### Dataset Summary\n\n\n*New!*(9/18/2022) E-KAR 'v1.1' is officially released (at the 'main' branch), with a higher-quality English dataset! In 'v1.1', we further improve the Chinese-to-English translation quality of the English E-KAR, with over 600 problems and over 1,000 explanations manually adjusted. You can ... | [
"TAGS\n#task_categories-question-answering #task_categories-text-generation #task_ids-explanation-generation #size_categories-1K<n<2K #source_datasets-original #language-English #license-afl-3.0 #region-us \n",
"### Dataset Summary\n\n\n*New!*(9/18/2022) E-KAR 'v1.1' is officially released (at the 'main' branch),... | [
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a1a0b053c5c1fdfb9a26a5557be62272b1582b2c |
# Dataset Card for taiwanese_english_translation
## 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 Structu... | atenglens/taiwanese_english_translation | [
"task_categories:question-answering",
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"task_ids:language-modeling",
"language_creators:other",
"multilinguality:translation",
"size_categories:unknown",
"source_datasets:extended|other",
"lang... | 2022-03-27T05:31:42+00:00 | {"annotations_creators": [], "language_creators": ["other"], "language": ["tw", "en"], "license": [], "multilinguality": ["translation"], "size_categories": ["unknown"], "source_datasets": ["extended|other"], "task_categories": ["question-answering", "text2text-generation", "text-generation", "translation"], "task_ids"... | 2022-10-24T18:51:45+00:00 | [] | [
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# Dataset Card for taiwanese_english_translation
## 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
- An... | [
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e3a39e3d6c1ff7e58cbeac653518a300a875adfd |
Machine translated Ohsumed collection (EN to ID)
Original corpora: http://disi.unitn.it/moschitti/corpora.htm
Translated using: https://huggingface.co/Helsinki-NLP/opus-mt-en-id
Compatible with HuggingFace text-classification script (Tested in 4.17)
https://github.com/huggingface/transformers/tree/v4.17.0/exampl... | nadhifikbarw/id_ohsuhmed | [
"task_categories:text-classification",
"language:id",
"region:us"
] | 2022-03-27T06:01:29+00:00 | {"language": ["id"], "task_categories": ["text-classification"], "source": ["http://disi.unitn.it/moschitti/corpora.htm"]} | 2022-10-25T09:03:35+00:00 | [] | [
"id"
] | TAGS
#task_categories-text-classification #language-Indonesian #region-us
|
Machine translated Ohsumed collection (EN to ID)
Original corpora: URL
Translated using: URL
Compatible with HuggingFace text-classification script (Tested in 4.17)
URL
[Moschitti, 2003a]. Alessandro Moschitti, Natural Language Processing and Text Categorization: a study on the reciprocal beneficial interaction... | [] | [
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dcfc1a380a19b9f4b30cec04a4387be24da0b2b3 | text to text implementation basing on https://github.com/salesforce/DocNLI
DatasetDict({
train: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 942314
})
validation: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 234258
})
test: Dataset({
... | stjokerli/TextToText_DocNLI_seqio | [
"region:us"
] | 2022-03-27T13:27:45+00:00 | {} | 2022-03-27T13:46:59+00:00 | [] | [] | TAGS
#region-us
| text to text implementation basing on URL
DatasetDict({
train: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 942314
})
validation: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 234258
})
test: Dataset({
features: ['idx', 'inputs', ... | [] | [
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1938d356e66bcdcdd662dd7b9285d0c4a0bc9c6b | squad_v010_allanswers in T5 paper https://github.com/google-research/text-to-text-transfer-transformer/blob/main/t5/data/tasks.py
DatasetDict({
squad: DatasetDict({
train: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 87599
})
validation: Dataset({
... | stjokerli/TextToText_squad_seqio | [
"region:us"
] | 2022-03-27T21:28:53+00:00 | {} | 2022-03-27T21:39:25+00:00 | [] | [] | TAGS
#region-us
| squad_v010_allanswers in T5 paper URL
DatasetDict({
squad: DatasetDict({
train: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 87599
})
validation: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 10570
})
... | [] | [
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e1abda026f687e917a8d9895469194736ebe872c |
# Dataset Card for Adversarial GLUE
## 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-... | adv_glue | [
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"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:extended|glue",
"language:en",
"license:cc... | 2022-03-28T10:12:33+00:00 | {"annotations_creators": ["other"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["extended|glue"], "task_categories": ["text-classification"], "task_ids": ["natural-language-inference", "... | 2024-01-09T11:45:55+00:00 | [
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# Dataset Card for Adversarial GLUE
## 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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7ea460abd146b010b3668f374c1f51068c6ff032 |
# Dataset Card for Corpus Carolina
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#d... | carolina-c4ai/corpus-carolina | [
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:masked-language-modeling",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1B<n<10B",
"source_datasets:original",
"languag... | 2022-03-28T12:30:33+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["pt"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1B<n<10B"], "source_datasets": ["original"], "task_categories": ["fill-mask", "text-generation"], "task_ids": ["masked-language-... | 2023-03-23T19:46:16+00:00 | [] | [
"pt"
] | TAGS
#task_categories-fill-mask #task_categories-text-generation #task_ids-masked-language-modeling #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1B<n<10B #source_datasets-original #language-Portuguese #license-cc-by-nc-sa-4... | Dataset Card for Corpus Carolina
================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Additional Information
+ Dataset Curators
+ Licen... | [
"### Dataset Summary\n\n\nCarolina is an Open Corpus for Linguistics and Artificial Intelligence with a\nrobust volume of texts of varied typology in contemporary Brazilian Portuguese\n(1970-2021). This corpus contains documents and texts extracted from the web\nand includes information (metadata) about its provena... | [
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01540a66ded66626baf224072d8faf05b5d329d0 | # AutoTrain Dataset for project: TweetClimateAnalysis
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project TweetClimateAnalysis.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as fo... | KeithHorgan98/autotrain-data-TweetClimateAnalysis | [
"task_categories:text-classification",
"region:us"
] | 2022-03-28T21:17:30+00:00 | {"task_categories": ["text-classification"]} | 2022-03-28T21:27:22+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: TweetClimateAnalysis
===================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project TweetClimateAnalysis.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset ... | [
"### 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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dc42b11d642dd1b4985d30f98ec68f63363b1141 | # UNL: Universidad Nacional de Loja
### Miembros del equipo:
- Anderson Quizhpe <br>
- Luis Negrón <br>
- David Pacheco <br>
- Bryan Requenes <br>
- Paul Pasaca
<br><br>
| hackathon-pln-es/Dataset-Acoso-Twitter-Es | [
"license:gpl-3.0",
"region:us"
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#license-gpl-3.0 #region-us
| # UNL: Universidad Nacional de Loja
### Miembros del equipo:
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- Luis Negrón <br>
- David Pacheco <br>
- Bryan Requenes <br>
- Paul Pasaca
<br><br>
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] |
67e0da2e44e860e37857edf17af7b2656b3be221 | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros}... | huggan/horse2zebra | [
"arxiv:1703.10593",
"region:us"
] | 2022-03-29T09:34:58+00:00 | {} | 2022-04-12T12:57:34+00:00 | [
"1703.10593"
] | [] | TAGS
#arxiv-1703.10593 #region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL
| [] | [
"TAGS\n#arxiv-1703.10593 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#arxiv-1703.10593 #region-us \n"
] |
26e882f90a286672b7dd46e603b3dd6b9c6c007e | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros}... | huggan/monet2photo | [
"arxiv:1703.10593",
"region:us"
] | 2022-03-29T11:23:53+00:00 | {} | 2022-04-12T12:58:04+00:00 | [
"1703.10593"
] | [] | TAGS
#arxiv-1703.10593 #region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL
| [] | [
"TAGS\n#arxiv-1703.10593 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#arxiv-1703.10593 #region-us \n"
] |
b9a1024774140d73f8272bf1158b4a8b4ef7abfe | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros}... | huggan/cezanne2photo | [
"arxiv:1703.10593",
"region:us"
] | 2022-03-29T11:27:36+00:00 | {} | 2022-04-12T12:56:27+00:00 | [
"1703.10593"
] | [] | TAGS
#arxiv-1703.10593 #region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL
| [] | [
"TAGS\n#arxiv-1703.10593 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#arxiv-1703.10593 #region-us \n"
] |
7d0f0b1f34034b010c6b7fc44d6b266803788448 | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros}... | huggan/ukiyoe2photo | [
"arxiv:1703.10593",
"region:us"
] | 2022-03-29T11:30:34+00:00 | {} | 2022-04-12T12:58:34+00:00 | [
"1703.10593"
] | [] | TAGS
#arxiv-1703.10593 #region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL
| [] | [
"TAGS\n#arxiv-1703.10593 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#arxiv-1703.10593 #region-us \n"
] |
877a11fde59bfcbbc59d508c7b00c7fa307604e6 | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros}... | huggan/vangogh2photo | [
"arxiv:1703.10593",
"region:us"
] | 2022-03-29T11:33:03+00:00 | {} | 2022-04-12T12:58:45+00:00 | [
"1703.10593"
] | [] | TAGS
#arxiv-1703.10593 #region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL
| [] | [
"TAGS\n#arxiv-1703.10593 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#arxiv-1703.10593 #region-us \n"
] |
c8706b48de9deec7eeee248792fcf483b3ccf4ef | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros}... | huggan/apple2orange | [
"arxiv:1703.10593",
"region:us"
] | 2022-03-29T11:44:10+00:00 | {} | 2022-04-12T12:55:40+00:00 | [
"1703.10593"
] | [] | TAGS
#arxiv-1703.10593 #region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL
| [] | [
"TAGS\n#arxiv-1703.10593 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#arxiv-1703.10593 #region-us \n"
] |
c4f40db4563d2acebd3a92c9b968f00c95234472 | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros}... | huggan/iphone2dslr_flower | [
"arxiv:1703.10593",
"region:us"
] | 2022-03-29T11:47:17+00:00 | {} | 2022-04-12T12:57:46+00:00 | [
"1703.10593"
] | [] | TAGS
#arxiv-1703.10593 #region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL
| [] | [
"TAGS\n#arxiv-1703.10593 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#arxiv-1703.10593 #region-us \n"
] |
7ada4dc70d20d435adc11b644ceeaff8d3b323c4 | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros}... | huggan/summer2winter_yosemite | [
"arxiv:1703.10593",
"region:us"
] | 2022-03-29T11:53:43+00:00 | {} | 2022-04-12T12:58:19+00:00 | [
"1703.10593"
] | [] | TAGS
#arxiv-1703.10593 #region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL
| [] | [
"TAGS\n#arxiv-1703.10593 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#arxiv-1703.10593 #region-us \n"
] |
853bc3c3221dfaa41d9116b4b11ec2953cc13fa3 | This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros}... | huggan/grumpifycat | [
"arxiv:1703.10593",
"region:us"
] | 2022-03-29T13:42:02+00:00 | {} | 2022-04-12T12:57:20+00:00 | [
"1703.10593"
] | [] | TAGS
#arxiv-1703.10593 #region-us
| This dataset is part of the CycleGAN datasets, originally hosted here: URL
| [] | [
"TAGS\n#arxiv-1703.10593 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#arxiv-1703.10593 #region-us \n"
] |
bf3e4aaebd4162e0b9d31785028c43bbd6303585 |
Dataset introduced in [Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media](https://arxiv.org/abs/1610.09786)
by Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly
Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, and Niloy Ganguly. "Stop Clickbait: Detecting an... | marksverdhei/clickbait_title_classification | [
"license:mit",
"arxiv:1610.09786",
"region:us"
] | 2022-03-29T20:02:09+00:00 | {"license": "mit"} | 2022-03-29T20:25:01+00:00 | [
"1610.09786"
] | [] | TAGS
#license-mit #arxiv-1610.09786 #region-us
|
Dataset introduced in Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media
by Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly
Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, and Niloy Ganguly. "Stop Clickbait: Detecting and Preventing Clickbaits in Online Ne... | [] | [
"TAGS\n#license-mit #arxiv-1610.09786 #region-us \n"
] | [
20
] | [
"passage: TAGS\n#license-mit #arxiv-1610.09786 #region-us \n"
] |
b62d5fa059150ce40bef72febc0779e9a2f4ba26 |
# Dataset Card for CoCoNuT-Java(2006)
## Dataset Description
- **Homepage:** [CoCoNuT training data](https://github.com/lin-tan/CoCoNut-Artifact/releases/tag/training_data_1.0.0)
- **Repository:** [CoCoNuT repository](https://github.com/lin-tan/CoCoNut-Artifact)
- **Paper:** [CoCoNuT: Combining Context-Aware Neural ... | h4iku/coconut_java2006 | [
"code",
"region:us"
] | 2022-03-29T22:30:34+00:00 | {"pretty_name": "CoCoNuT-Java(2006)", "tags": ["code"]} | 2023-09-28T21:53:23+00:00 | [] | [] | TAGS
#code #region-us
| Dataset Card for CoCoNuT-Java(2006)
===================================
Dataset Description
-------------------
* Homepage: CoCoNuT training data
* Repository: CoCoNuT repository
* Paper: CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair
### Dataset Summary
Part of the... | [
"### Dataset Summary\n\n\nPart of the data used to train the models in the \"CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair\" paper.\nThese datasets contain raw data extracted from GitHub, GitLab, and Bitbucket, and have neither been shuffled nor tokenized.\nThe year in... | [
"TAGS\n#code #region-us \n",
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07c8608cac175708f83f05da225c487d66f8e8c9 |
# Dataset Card for CoCoNuT-JavaScript(2010)
## Dataset Description
- **Homepage:** [CoCoNuT training data](https://github.com/lin-tan/CoCoNut-Artifact/releases/tag/training_data_1.0.0)
- **Repository:** [CoCoNuT repository](https://github.com/lin-tan/CoCoNut-Artifact)
- **Paper:** [CoCoNuT: Combining Context-Aware N... | h4iku/coconut_javascript2010 | [
"code",
"region:us"
] | 2022-03-29T22:49:36+00:00 | {"pretty_name": "CoCoNuT-JavaScript(2010)", "tags": ["code"]} | 2023-09-28T22:20:59+00:00 | [] | [] | TAGS
#code #region-us
| Dataset Card for CoCoNuT-JavaScript(2010)
=========================================
Dataset Description
-------------------
* Homepage: CoCoNuT training data
* Repository: CoCoNuT repository
* Paper: CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair
### Dataset Summary
... | [
"### Dataset Summary\n\n\nPart of the data used to train the models in the \"CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair\" paper.\nThese datasets contain raw data extracted from GitHub, GitLab, and Bitbucket, and have neither been shuffled nor tokenized.\nThe year in... | [
"TAGS\n#code #region-us \n",
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76866995461bd07841e9ef7b08751da46c7eb9f4 | annotations_creators:
- crowdsourced
- other
language_creators:
- other
- crowdsourced
languages:
- es
licenses:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: ESnli
size_categories:
- unknown
source_datasets:
- extended|snli
- extended|xnli
- extended|multi_nli
task_categories:
- text-c... | hackathon-pln-es/nli-es | [
"arxiv:1809.05053",
"region:us"
] | 2022-03-29T22:54:07+00:00 | {} | 2022-04-04T02:30:59+00:00 | [
"1809.05053"
] | [] | TAGS
#arxiv-1809.05053 #region-us
| annotations_creators:
- crowdsourced
- other
language_creators:
- other
- crowdsourced
languages:
- es
licenses:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: ESnli
size_categories:
- unknown
source_datasets:
- extended|snli
- extended|xnli
- extended|multi_nli
task_categories:
- text-c... | [
"# Dataset Card for nli-es",
"## Table of Contents\r\n- Dataset Description\r\n - Dataset Summary\r\n - Supported Tasks\r\n - Languages\r\n- Dataset Structure\r\n - Data Instances\r\n - Data Fields\r\n - Data Splits\r\n- Dataset Creation\r\n - Curation Rationale\r\n - Source Data\r\n - Annotations\r\n -... | [
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024190594583122994c09be3724f2c5279422081 |
# Dataset Card for CoCoNuT-Python(2010)
## Dataset Description
- **Homepage:** [CoCoNuT training data](https://github.com/lin-tan/CoCoNut-Artifact/releases/tag/training_data_1.0.0)
- **Repository:** [CoCoNuT repository](https://github.com/lin-tan/CoCoNut-Artifact)
- **Paper:** [CoCoNuT: Combining Context-Aware Neura... | h4iku/coconut_python2010 | [
"code",
"region:us"
] | 2022-03-30T00:03:32+00:00 | {"pretty_name": "CoCoNuT-Python(2010)", "tags": ["code"]} | 2023-09-28T22:17:32+00:00 | [] | [] | TAGS
#code #region-us
| Dataset Card for CoCoNuT-Python(2010)
=====================================
Dataset Description
-------------------
* Homepage: CoCoNuT training data
* Repository: CoCoNuT repository
* Paper: CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair
### Dataset Summary
Part of... | [
"### Dataset Summary\n\n\nPart of the data used to train the models in the \"CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair\" paper.\nThese datasets contain raw data extracted from GitHub, GitLab, and Bitbucket, and have neither been shuffled nor tokenized.\nThe year in... | [
"TAGS\n#code #region-us \n",
"### Dataset Summary\n\n\nPart of the data used to train the models in the \"CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair\" paper.\nThese datasets contain raw data extracted from GitHub, GitLab, and Bitbucket, and have neither been shuff... | [
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cd86a6292c0525246a69827c754c3d2ed2993318 |
# Dataset Card for CoCoNuT-C(2005)
## Dataset Description
- **Homepage:** [CoCoNuT training data](https://github.com/lin-tan/CoCoNut-Artifact/releases/tag/training_data_1.0.0)
- **Repository:** [CoCoNuT repository](https://github.com/lin-tan/CoCoNut-Artifact)
- **Paper:** [CoCoNuT: Combining Context-Aware Neural Tra... | h4iku/coconut_c2005 | [
"code",
"region:us"
] | 2022-03-30T00:06:36+00:00 | {"pretty_name": "CoCoNuT-C(2005)", "tags": ["code"]} | 2023-09-28T22:19:25+00:00 | [] | [] | TAGS
#code #region-us
| Dataset Card for CoCoNuT-C(2005)
================================
Dataset Description
-------------------
* Homepage: CoCoNuT training data
* Repository: CoCoNuT repository
* Paper: CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair
### Dataset Summary
Part of the data ... | [
"### Dataset Summary\n\n\nPart of the data used to train the models in the \"CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair\" paper.\nThese datasets contain raw data extracted from GitHub, GitLab, and Bitbucket, and have neither been shuffled nor tokenized.\nThe year in... | [
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fa7ca4dffe2448901592f0a8bb2ea0f0581c5951 | Japanese Pitch Dataset | vumichien/pitch_japanese_data | [
"region:us"
] | 2022-03-30T09:40:52+00:00 | {} | 2022-04-04T02:05:08+00:00 | [] | [] | TAGS
#region-us
| Japanese Pitch Dataset | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
e0f3a5567f5c8db711fce1d5dcf244000c5ab587 |
# Spanish Poetry Dataset
There are not many poetry datasets, and in Spanish language is even worst! With this dataset, we want to give access to these quality Spanish data for NLP tasks.
It is a simple dataset, but its potential is huge. I'm itching to discover new literary structures within Spanish literature data... | andreamorgar/spanish_poetry | [
"license:gpl-3.0",
"region:us"
] | 2022-03-30T11:29:11+00:00 | {"license": "gpl-3.0"} | 2022-03-30T11:39:22+00:00 | [] | [] | TAGS
#license-gpl-3.0 #region-us
|
# Spanish Poetry Dataset
There are not many poetry datasets, and in Spanish language is even worst! With this dataset, we want to give access to these quality Spanish data for NLP tasks.
It is a simple dataset, but its potential is huge. I'm itching to discover new literary structures within Spanish literature data... | [
"# Spanish Poetry Dataset\r\nThere are not many poetry datasets, and in Spanish language is even worst! With this dataset, we want to give access to these quality Spanish data for NLP tasks.\r\nIt is a simple dataset, but its potential is huge. I'm itching to discover new literary structures within Spanish literatu... | [
"TAGS\n#license-gpl-3.0 #region-us \n",
"# Spanish Poetry Dataset\r\nThere are not many poetry datasets, and in Spanish language is even worst! With this dataset, we want to give access to these quality Spanish data for NLP tasks.\r\nIt is a simple dataset, but its potential is huge. I'm itching to discover new l... | [
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"passage: TAGS\n#license-gpl-3.0 #region-us \n# Spanish Poetry Dataset\r\nThere are not many poetry datasets, and in Spanish language is even worst! With this dataset, we want to give access to these quality Spanish data for NLP tasks.\r\nIt is a simple dataset, but its potential is huge. I'm itching to discover ne... |
a3fa98229bb3b442163ac8bda8e950076f75b589 |
# Dataset Card for People's Speech
## 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 F... | MLCommons/peoples_speech_v1.0 | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"annotations_creators:machine-generated",
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"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:1T<n",
"source_datasets:original",
"language:en",
... | 2022-03-30T14:49:51+00:00 | {"annotations_creators": ["crowdsourced", "machine-generated"], "language_creators": ["crowdsourced", "machine-generated"], "language": ["en"], "license": ["cc-by-2.0", "cc-by-2.5", "cc-by-3.0", "cc-by-4.0", "cc-by-sa-3.0", "cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1T<n"], "source_datase... | 2022-08-10T15:41:34+00:00 | [
"2111.09344"
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#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #annotations_creators-machine-generated #language_creators-crowdsourced #language_creators-machine-generated #multilinguality-monolingual #size_categories-1T<n #source_datasets-original #language-English #license-cc-by-2.0 #license-cc... |
# Dataset Card for People's Speech
## 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 Sensitive Information
- ... | [
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a29d08ef45085a1bf86173196c6a68aa54a8f43e |
# Axolotl-Spanish-Nahuatl : Parallel corpus for Spanish-Nahuatl machine translation
## Table of Contents
- [Dataset Card for [Axolotl-Spanish-Nahuatl]](#dataset-card-for-Axolotl-Spanish-Nahuatl)
## Dataset Description
- **Source 1:** http://www.corpus.unam.mx/axolotl
- **Source 2:** http://link.springer.com/articl... | hackathon-pln-es/Axolotl-Spanish-Nahuatl | [
"task_categories:text2text-generation",
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:translation",
"size_categories:unknown",
"source_datasets:original",
"language:es",
"license:mpl-2.0",
"conditional-text-generation... | 2022-03-30T14:52:03+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["es"], "license": ["mpl-2.0"], "multilinguality": ["translation"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["text2text-generation", "translation"], "task_ids": [], "pretty_n... | 2023-04-13T07:51:58+00:00 | [] | [
"es"
] | TAGS
#task_categories-text2text-generation #task_categories-translation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-translation #size_categories-unknown #source_datasets-original #language-Spanish #license-mpl-2.0 #conditional-text-generation #region-us
|
# Axolotl-Spanish-Nahuatl : Parallel corpus for Spanish-Nahuatl machine translation
## Table of Contents
- [Dataset Card for [Axolotl-Spanish-Nahuatl]](#dataset-card-for-Axolotl-Spanish-Nahuatl)
## Dataset Description
- Source 1: URL
- Source 2: URL
- Repository:1 URL
- Repository:2 URL
- Paper: URL
## Dataset Co... | [
"# Axolotl-Spanish-Nahuatl : Parallel corpus for Spanish-Nahuatl machine translation",
"## Table of Contents\n- [Dataset Card for [Axolotl-Spanish-Nahuatl]](#dataset-card-for-Axolotl-Spanish-Nahuatl)",
"## Dataset Description\n\n- Source 1: URL\n- Source 2: URL\n- Repository:1 URL\n- Repository:2 URL\n- Paper: ... | [
"TAGS\n#task_categories-text2text-generation #task_categories-translation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-translation #size_categories-unknown #source_datasets-original #language-Spanish #license-mpl-2.0 #conditional-text-generation #region-us \n",
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2b66248c092349da7db3e12eb66d7ffb692c77d9 | # MF Rocket Paraphrase Corpus (MFRPC) - A State of the Art Paraphrasing Solution
## Dataset Description
MF Rocket Paraphrase Corpus (MFRPC) ) is a corpus consisting of 10,000 sentence pairs. Each sentence pair contains a source sentence and the paraphrased version of the source sentence. The source sentences are crea... | MFRocket/MFRPC | [
"region:us"
] | 2022-03-30T15:59:22+00:00 | {"task_categories": ["conditional-text-generation", "paraphrase", "gpt-3", "crowdsourced"]} | 2022-03-30T18:58:37+00:00 | [] | [] | TAGS
#region-us
| MF Rocket Paraphrase Corpus (MFRPC) - A State of the Art Paraphrasing Solution
==============================================================================
Dataset Description
-------------------
MF Rocket Paraphrase Corpus (MFRPC) ) is a corpus consisting of 10,000 sentence pairs. Each sentence pair contains a 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#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 fields (also called \"features\"):",
"### Da... | [
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"passage: TAGS\n#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 fields (also called \"features\"):### Dataset Splits\n\... |
58d5b361e47265cf85f2334800c66d9bb485029e |
# Dataset Card for sufficient_facts
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-f... | copenlu/sufficient_facts | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|fever",
"source_datasets:extended|hover",
"source_datasets:extended|fever_gold_... | 2022-03-30T18:12:14+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|fever", "extended|hover", "extended|fever_gold_evidence"], "task_categories": ["text-classification... | 2022-08-05T07:33:48+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-extended|fever #source_datasets-extended|hover #source_datasets-extended|fever_gold_evidence #language-English #lic... | Dataset Card for sufficient\_facts
==================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotatio... | [
"### Dataset Summary\n\n\nThis is the dataset SufficientFacts, introduced in the paper \"Fact Checking with Insufficient Evidence\", accepted at the TACL journal in 2022.\n\n\nAutomating the fact checking (FC) process relies on information obtained from external sources. In this work, we posit that it is crucial fo... | [
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7e960327b88e961ca35bee0a6bed94c42b0ac0d8 | # AutoTrain Dataset for project: security-texts-classification-distilroberta
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project security-texts-classification-distilroberta.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Ins... | vlsb/autotrain-data-security-texts-classification-distilroberta | [
"task_categories:text-classification",
"region:us"
] | 2022-03-30T19:48:23+00:00 | {"task_categories": ["text-classification"]} | 2022-03-30T19:48:56+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: security-texts-classification-distilroberta
==========================================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project security-texts-classification-distilroberta.
### Lang... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
"TAGS\n#task_categories-text-classification #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (... | [
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"passage: TAGS\n#task_categories-text-classification #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also call... |
608c2e9f00eacfdb0932301e45fe2b420a0559a0 | # DISCO: Diachronic Spanish Sonnet Corpus
[](https://zenodo.org/badge/latestdoi/103841064)
The Diachronic Spanish Sonnet Corpus (DISCO) contains sonnets in Spanish in CSV, between the 15th and the 20th centuries (4303 sonnets by 1215 authors from 22 different countries)... | hackathon-pln-es/disco_spanish_poetry | [
"region:us"
] | 2022-03-30T20:47:36+00:00 | {} | 2022-03-30T20:50:28+00:00 | [] | [] | TAGS
#region-us
| # DISCO: Diachronic Spanish Sonnet Corpus
 contains sonnets in Spanish in CSV, between the 15th and the 20th centuries (4303 sonnets by 1215 authors from 22 different countries). It includes well-known authors, but also less canonized ones.
This is a CSV co... | [
"# DISCO: Diachronic Spanish Sonnet Corpus\r\n contains sonnets in Spanish in CSV, between the 15th and the 20th centuries (4303 sonnets by 1215 authors from 22 different countries). It includes well-known authors, but also less canonized ones. \r\n\r\nT... | [
"TAGS\n#region-us \n",
"# DISCO: Diachronic Spanish Sonnet Corpus\r\n contains sonnets in Spanish in CSV, between the 15th and the 20th centuries (4303 sonnets by 1215 authors from 22 different countries). It includes well-known authors, but also less ... | [
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"passage: TAGS\n#region-us \n# DISCO: Diachronic Spanish Sonnet Corpus\r\n contains sonnets in Spanish in CSV, between the 15th and the 20th centuries (4303 sonnets by 1215 authors from 22 different countries). It includes well-known authors, but also le... |
88fa19e471d13eae3c2903011908b1a8bbccb46a | # test-imagefolder-dataset
This dataset shows that you can upload image folders (with an accompanying info.csv file within) to share and visualize multiple splits of a dataset. Cheers 🍻 | nateraw/test-imagefolder-dataset | [
"region:us"
] | 2022-03-30T20:58:59+00:00 | {} | 2022-03-30T21:19:04+00:00 | [] | [] | TAGS
#region-us
| # test-imagefolder-dataset
This dataset shows that you can upload image folders (with an accompanying URL file within) to share and visualize multiple splits of a dataset. Cheers | [
"# test-imagefolder-dataset\n\nThis dataset shows that you can upload image folders (with an accompanying URL file within) to share and visualize multiple splits of a dataset. Cheers"
] | [
"TAGS\n#region-us \n",
"# test-imagefolder-dataset\n\nThis dataset shows that you can upload image folders (with an accompanying URL file within) to share and visualize multiple splits of a dataset. Cheers"
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"passage: TAGS\n#region-us \n# test-imagefolder-dataset\n\nThis dataset shows that you can upload image folders (with an accompanying URL file within) to share and visualize multiple splits of a dataset. Cheers"
] |
2e15cfca305fcbc9215b159088e588bcca6ee60c | This dataset contains parallel corpora for Ethiopian languages | Atnafu/Parallel_dataset_for_Ethiopian_languages | [
"license:afl-3.0",
"region:us"
] | 2022-03-31T02:45:15+00:00 | {"license": "afl-3.0"} | 2022-03-31T02:45:52+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
| This dataset contains parallel corpora for Ethiopian languages | [] | [
"TAGS\n#license-afl-3.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-afl-3.0 #region-us \n"
] |
7408d8e0848a237692cfd597574ced7762ea42c9 | basic text | DioLiu/Test1 | [
"region:us"
] | 2022-03-31T03:16:01+00:00 | {} | 2022-04-09T03:11:46+00:00 | [] | [] | TAGS
#region-us
| basic text | [] | [
"TAGS\n#region-us \n"
] | [
6
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] |
966942abb87e2e57c5b357342d7bc2f4177e0ba4 |
## Dataset Summary
Scotch is a dataset of about 19 million functions collected from open-source repositiories from GitHub with permissive licenses. Each function has its corresponding code context and about 4 million functions have corresponding docstrings.
### Languages
The dataset includes functions written in pro... | Samip/Scotch | [
"region:us"
] | 2022-03-31T11:31:51+00:00 | {} | 2022-04-29T13:19:23+00:00 | [] | [] | TAGS
#region-us
|
## Dataset Summary
Scotch is a dataset of about 19 million functions collected from open-source repositiories from GitHub with permissive licenses. Each function has its corresponding code context and about 4 million functions have corresponding docstrings.
### Languages
The dataset includes functions written in pro... | [
"## Dataset Summary\n\nScotch is a dataset of about 19 million functions collected from open-source repositiories from GitHub with permissive licenses. Each function has its corresponding code context and about 4 million functions have corresponding docstrings.",
"### Languages\nThe dataset includes functions wri... | [
"TAGS\n#region-us \n",
"## Dataset Summary\n\nScotch is a dataset of about 19 million functions collected from open-source repositiories from GitHub with permissive licenses. Each function has its corresponding code context and about 4 million functions have corresponding docstrings.",
"### Languages\nThe datas... | [
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"passage: TAGS\n#region-us \n## Dataset Summary\n\nScotch is a dataset of about 19 million functions collected from open-source repositiories from GitHub with permissive licenses. Each function has its corresponding code context and about 4 million functions have corresponding docstrings.### Languages\nThe dataset ... |
630a24d3e902f49f89ba5b835410ad2cbb3f0059 | ## Generation procedure
The dataset was constructed using documents from [the Pile](https://pile.eleuther.ai/) scored using using [Perspective API](http://perspectiveapi.com) toxicity scores.
The procedure was the following:
1. A chunk of the Pile (3%, 7m documents) was scored using the Perspective API.
1. The first ... | tomekkorbak/pile-toxicity-balanced | [
"region:us"
] | 2022-03-31T11:43:11+00:00 | {} | 2022-04-06T10:07:05+00:00 | [] | [] | TAGS
#region-us
| Generation procedure
--------------------
The dataset was constructed using documents from the Pile scored using using Perspective API toxicity scores.
The procedure was the following:
1. A chunk of the Pile (3%, 7m documents) was scored using the Perspective API.
2. The first half of this dataset is tomekkorbak/... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
0cd8a6125adf50d4f589f21a2514aff5ec63ee1c | These orbs were generated with GLID-3, a text-to-image system (https://github.com/Jack000/glid-3)
The text prompt for many was "Orbs within orbs, concentric circles and ripples of fire (spheres and circles, roundness)"
I used a high guidance scale (10 IIRC) and generated them in batches of 64
There are two 'flavours', ... | johnowhitaker/glid3_orbs | [
"region:us"
] | 2022-03-31T14:46:41+00:00 | {} | 2022-04-01T02:58:57+00:00 | [] | [] | TAGS
#region-us
| These orbs were generated with GLID-3, a text-to-image system (URL
The text prompt for many was "Orbs within orbs, concentric circles and ripples of fire (spheres and circles, roundness)"
I used a high guidance scale (10 IIRC) and generated them in batches of 64
There are two 'flavours', 'dark' and 'light' (indicated w... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
4bc4e8decfdda1c956ca15694d9fa1518261efd0 | # Spanish Gender Neutralization
<p align="center">
<img src="https://upload.wikimedia.org/wikipedia/commons/2/29/Gender_equality_symbol_%28clipart%29.png" width="250"/>
</p>
Spanish is a beautiful language and it has many ways of referring to people, neutralizing the genders and using some of the resources inside t... | hackathon-pln-es/neutral-es | [
"task_categories:text2text-generation",
"task_categories:translation",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:es",
"region:us"
] | 2022-03-31T17:02:00+00:00 | {"language": ["es"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "task_categories": ["text2text-generation", "translation"], "task_ids": [], "pretty_name": "neutralES"} | 2022-10-25T09:20:48+00:00 | [] | [
"es"
] | TAGS
#task_categories-text2text-generation #task_categories-translation #multilinguality-monolingual #size_categories-1K<n<10K #language-Spanish #region-us
| # Spanish Gender Neutralization
<p align="center">
<img src="URL width="250"/>
</p>
Spanish is a beautiful language and it has many ways of referring to people, neutralizing the genders and using some of the resources inside the language. One would say *Todas las personas asistentes* instead of *Todos los asistente... | [
"# Spanish Gender Neutralization\n\n<p align=\"center\">\n <img src=\"URL width=\"250\"/>\n</p>\n\nSpanish is a beautiful language and it has many ways of referring to people, neutralizing the genders and using some of the resources inside the language. One would say *Todas las personas asistentes* instead of *Tod... | [
"TAGS\n#task_categories-text2text-generation #task_categories-translation #multilinguality-monolingual #size_categories-1K<n<10K #language-Spanish #region-us \n",
"# Spanish Gender Neutralization\n\n<p align=\"center\">\n <img src=\"URL width=\"250\"/>\n</p>\n\nSpanish is a beautiful language and it has many way... | [
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939a75ee8e11464d473de956df8a96fa5e5e64b7 |
This is a suite of psycholinguistic datasets by Allyson Ettinger. See her [official Github repository](https://github.com/aetting/lm-diagnostics) for specific details. | KevinZ/psycholinguistic_eval | [
"task_categories:multiple-choice",
"task_categories:fill-mask",
"task_categories:question-answering",
"task_categories:zero-shot-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:n<1K",
"license:mit",
"re... | 2022-03-31T23:04:18+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en-US"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": [], "task_categories": ["multiple-choice", "fill-mask", "question-answering", "zero-shot-classification... | 2022-10-25T09:03:37+00:00 | [] | [
"en-US"
] | TAGS
#task_categories-multiple-choice #task_categories-fill-mask #task_categories-question-answering #task_categories-zero-shot-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-n<1K #license-mit #region-us
|
This is a suite of psycholinguistic datasets by Allyson Ettinger. See her official Github repository for specific details. | [] | [
"TAGS\n#task_categories-multiple-choice #task_categories-fill-mask #task_categories-question-answering #task_categories-zero-shot-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-n<1K #license-mit #region-us \n"
] | [
101
] | [
"passage: TAGS\n#task_categories-multiple-choice #task_categories-fill-mask #task_categories-question-answering #task_categories-zero-shot-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-n<1K #license-mit #region-us \n"
] |
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