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1dc50f7e367ac8c1d78e0c69a889782d5b4177dd |
# Dataset Card for "lmqg/qg_ruquad"
## Dataset Description
- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
- **Paper:** [https://arxiv.org/abs/2210.03992](https://arxiv.org/abs/2210.03992)
- **Point of Contact:** [Asahi Ushio](http://asahiush... | lmqg/qg_ruquad | [
"task_categories:text-generation",
"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:deepset/germanquad",
"language:ru",
"license:cc-by-4.0",
"question-generation",
"arxiv:2210.03992",
"region:us"
] | 2022-06-02T22:44:54+00:00 | {"language": "ru", "license": "cc-by-4.0", "multilinguality": "monolingual", "size_categories": "10K<n<100K", "source_datasets": "deepset/germanquad", "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "SberQuAD for question generation", "tags": ["question-generation"]} | 2022-12-02T18:55:01+00:00 | [
"2210.03992"
] | [
"ru"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-deepset/germanquad #language-Russian #license-cc-by-4.0 #question-generation #arxiv-2210.03992 #region-us
| Dataset Card for "lmqg/qg\_ruquad"
==================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is a subset of QG-Bench, a unified question generation benchmark proposed in
"Generative Language Models for Parag... | [
"### Dataset Summary\n\n\nThis is a subset of QG-Bench, a unified question generation benchmark proposed in\n\"Generative Language Models for Paragraph-Level Question Generation: A Unified Benchmark and Evaluation, EMNLP 2022 main conference\".\nThis is a modified version of SberQuaD for question generation (QG) ta... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-deepset/germanquad #language-Russian #license-cc-by-4.0 #question-generation #arxiv-2210.03992 #region-us \n",
"### Dataset Summary\n\n\nThis is a subset of QG-Bench, a uni... | [
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d4e9a4ad68be3297bdd6854cdd57f0eaf9f99337 |
# Dataset Card for "lmqg/qg_itquad"
## Dataset Description
- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
- **Paper:** [https://arxiv.org/abs/2210.03992](https://arxiv.org/abs/2210.03992)
- **Point of Contact:** [Asahi Ushio](http://asahiushi... | lmqg/qg_itquad | [
"task_categories:text-generation",
"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:squad_es",
"language:it",
"license:cc-by-4.0",
"question-generation",
"arxiv:2210.03992",
"region:us"
] | 2022-06-02T22:45:12+00:00 | {"language": "it", "license": "cc-by-4.0", "multilinguality": "monolingual", "size_categories": "10K<n<100K", "source_datasets": "squad_es", "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "SQuAD-it for question generation", "tags": ["question-generation"]} | 2022-12-02T18:54:31+00:00 | [
"2210.03992"
] | [
"it"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-squad_es #language-Italian #license-cc-by-4.0 #question-generation #arxiv-2210.03992 #region-us
| Dataset Card for "lmqg/qg\_itquad"
==================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is a subset of QG-Bench, a unified question generation benchmark proposed in
"Generative Language Models for Parag... | [
"### Dataset Summary\n\n\nThis is a subset of QG-Bench, a unified question generation benchmark proposed in\n\"Generative Language Models for Paragraph-Level Question Generation: A Unified Benchmark and Evaluation, EMNLP 2022 main conference\".\nThis is a modified version of SQuAD-it for question generation (QG) ta... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-squad_es #language-Italian #license-cc-by-4.0 #question-generation #arxiv-2210.03992 #region-us \n",
"### Dataset Summary\n\n\nThis is a subset of QG-Bench, a unified quest... | [
88,
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295
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"passage: TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-squad_es #language-Italian #license-cc-by-4.0 #question-generation #arxiv-2210.03992 #region-us \n### Dataset Summary\n\n\nThis is a subset of QG-Bench, a unified qu... |
55db14b1358c93bf9ed49af20ed06c36a7564386 |
# Dataset Card for "lmqg/qg_dequad"
## Dataset Description
- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
- **Paper:** [https://arxiv.org/abs/2210.03992](https://arxiv.org/abs/2210.03992)
- **Point of Contact:** [Asahi Ushio](http://asahiushi... | lmqg/qg_dequad | [
"task_categories:text-generation",
"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:deepset/germanquad",
"language:de",
"license:cc-by-4.0",
"question-generation",
"arxiv:2210.03992",
"region:us"
] | 2022-06-02T22:45:30+00:00 | {"language": "de", "license": "cc-by-4.0", "multilinguality": "monolingual", "size_categories": "10K<n<100K", "source_datasets": "deepset/germanquad", "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "GermanQuAD for question generation", "tags": ["question-generation"]} | 2022-12-02T18:53:57+00:00 | [
"2210.03992"
] | [
"de"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-deepset/germanquad #language-German #license-cc-by-4.0 #question-generation #arxiv-2210.03992 #region-us
| Dataset Card for "lmqg/qg\_dequad"
==================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is a subset of QG-Bench, a unified question generation benchmark proposed in
"Generative Language Models for Parag... | [
"### Dataset Summary\n\n\nThis is a subset of QG-Bench, a unified question generation benchmark proposed in\n\"Generative Language Models for Paragraph-Level Question Generation: A Unified Benchmark and Evaluation, EMNLP 2022 main conference\".\nThis is a modified version of GermanQuAD for question generation (QG) ... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-deepset/germanquad #language-German #license-cc-by-4.0 #question-generation #arxiv-2210.03992 #region-us \n",
"### Dataset Summary\n\n\nThis is a subset of QG-Bench, a unif... | [
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"passage: TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-deepset/germanquad #language-German #license-cc-by-4.0 #question-generation #arxiv-2210.03992 #region-us \n### Dataset Summary\n\n\nThis is a subset of QG-Bench, a u... |
ae36d2f6ba4f3665312596585286686ba18f8290 | dna cdna hamburger
# Dataset Card for cdna_test_dset
## 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-inst... | Vlasta/human_cdna | [
"region:us"
] | 2022-06-03T06:36:15+00:00 | {} | 2022-06-03T11:05:12+00:00 | [] | [] | TAGS
#region-us
| dna cdna hamburger
# Dataset Card for cdna_test_dset
## 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 Sensit... | [
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"# Dataset Card for cdna_test_dset",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotatio... | [
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cb3a1f75a0522510371b5ff44e2e7a2c09007dd1 |
## Dataset overview
This dataset contains all lyrics from songs produced by The Beatles, 180 in total. There a two splits available in the dictionary:
- dataset_cleaned: contains all lyrics including Intro, Outro, Chorus tagging.
- dataset_full: contains only lyrics without any tagging
Each split contains the title... | cmotions/Beatles_lyrics | [
"language:en",
"language modeling",
"region:us"
] | 2022-06-03T10:32:47+00:00 | {"language": ["en"], "tags": ["language modeling"], "datasets": ["full dataset", "cleaned dataset"]} | 2022-06-03T10:41:37+00:00 | [] | [
"en"
] | TAGS
#language-English #language modeling #region-us
|
## Dataset overview
This dataset contains all lyrics from songs produced by The Beatles, 180 in total. There a two splits available in the dictionary:
- dataset_cleaned: contains all lyrics including Intro, Outro, Chorus tagging.
- dataset_full: contains only lyrics without any tagging
Each split contains the title... | [
"## Dataset overview\nThis dataset contains all lyrics from songs produced by The Beatles, 180 in total. There a two splits available in the dictionary:\n\n- dataset_cleaned: contains all lyrics including Intro, Outro, Chorus tagging. \n- dataset_full: contains only lyrics without any tagging\n\nEach split contains... | [
"TAGS\n#language-English #language modeling #region-us \n",
"## Dataset overview\nThis dataset contains all lyrics from songs produced by The Beatles, 180 in total. There a two splits available in the dictionary:\n\n- dataset_cleaned: contains all lyrics including Intro, Outro, Chorus tagging. \n- dataset_full: c... | [
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"passage: TAGS\n#language-English #language modeling #region-us \n## Dataset overview\nThis dataset contains all lyrics from songs produced by The Beatles, 180 in total. There a two splits available in the dictionary:\n\n- dataset_cleaned: contains all lyrics including Intro, Outro, Chorus tagging. \n- dataset_full... |
b63daf6b92bbb10f48cc4222606b85ef90a78cba | # BEA 19 Shared task.
BEA 19 Shared task dataset already preprocessed to have the original and corrupted sentence.
I merged the def and train datasets into one and applied all the annotated edits.
Source: https://www.cl.cam.ac.uk/research/nl/bea2019st/ | juancavallotti/bea-19-corruption | [
"region:us"
] | 2022-06-03T13:21:13+00:00 | {} | 2022-06-06T19:54:56+00:00 | [] | [] | TAGS
#region-us
| # BEA 19 Shared task.
BEA 19 Shared task dataset already preprocessed to have the original and corrupted sentence.
I merged the def and train datasets into one and applied all the annotated edits.
Source: URL | [
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] |
bac965b98b874c4da8032226f4b4c5286d1122a5 | This question base consits of 5000 travel domain based questions which are being annotated under a taxonomy related to the travel domain. The taxonomy is a hierarchical taxonomy with two levels of 7 coarse classes and 63 fine classes. 5000TravelQuestionsDataset.xlsx file consists of the annotated question base and the ... | NLPC-UOM/Travel-Dataset-5000 | [
"language:en",
"license:mit",
"region:us"
] | 2022-06-03T13:34:39+00:00 | {"language": ["en"], "license": ["mit"]} | 2022-10-25T09:28:54+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #region-us
| This question base consits of 5000 travel domain based questions which are being annotated under a taxonomy related to the travel domain. The taxonomy is a hierarchical taxonomy with two levels of 7 coarse classes and 63 fine classes. URL file consists of the annotated question base and the taxonomy. For the question b... | [] | [
"TAGS\n#language-English #license-mit #region-us \n"
] | [
15
] | [
"passage: TAGS\n#language-English #license-mit #region-us \n"
] |
ae8924566217955fd24d85a06e3024d6f68cdc5f | This is the dataset used in the paper Kadupitiya, J.C.S., Ranathunga, S. and Dias, G., 2016, December. Sinhala Short Sentence Similarity Measures using Corpus-Based Simi-larity for Short Answer Grading. In 6th Workshop on South and Southeast Asian Natural Language Processing (pp. 44-53). The data set contains Sinhala s... | NLPC-UOM/Sinhala-short-sentences | [
"language:si",
"license:mit",
"region:us"
] | 2022-06-03T13:44:18+00:00 | {"language": ["si"], "license": ["mit"]} | 2022-10-25T09:28:56+00:00 | [] | [
"si"
] | TAGS
#language-Sinhala #license-mit #region-us
| This is the dataset used in the paper Kadupitiya, J.C.S., Ranathunga, S. and Dias, G., 2016, December. Sinhala Short Sentence Similarity Measures using Corpus-Based Simi-larity for Short Answer Grading. In 6th Workshop on South and Southeast Asian Natural Language Processing (pp. 44-53). The data set contains Sinhala s... | [] | [
"TAGS\n#language-Sinhala #license-mit #region-us \n"
] | [
17
] | [
"passage: TAGS\n#language-Sinhala #license-mit #region-us \n"
] |
30acffe268fb4a60ccce0de55704c4c220a8a4ca | This repo contains data and source code for the paper Nanayakkara, P., & Ranathunga, S. (2018, May). Clustering Sinhala News Articles Using Corpus-Based Similarity Measures. In 2018 Moratuwa Engineering Research Conference (MERCon) (pp. 437-442). IEEE.
Source code - logic to cluster news articles, and measure performa... | NLPC-UOM/Sinhala-news-clustering | [
"language:si",
"license:mit",
"region:us"
] | 2022-06-03T14:23:35+00:00 | {"language": ["si"], "license": ["mit"]} | 2022-10-25T09:28:58+00:00 | [] | [
"si"
] | TAGS
#language-Sinhala #license-mit #region-us
| This repo contains data and source code for the paper Nanayakkara, P., & Ranathunga, S. (2018, May). Clustering Sinhala News Articles Using Corpus-Based Similarity Measures. In 2018 Moratuwa Engineering Research Conference (MERCon) (pp. 437-442). IEEE.
Source code - logic to cluster news articles, and measure performa... | [] | [
"TAGS\n#language-Sinhala #license-mit #region-us \n"
] | [
17
] | [
"passage: TAGS\n#language-Sinhala #license-mit #region-us \n"
] |
3ed98b8bc0497b0a1fec708ce7962fec6d871de7 |
This repository contains the dataset for paper "A Neural Spell Corrector and a baseline for Sinhala SpellCorrection" | NLPC-UOM/Sinhala-Neuspellcorrector | [
"language:si",
"license:mit",
"region:us"
] | 2022-06-03T14:40:41+00:00 | {"language": ["si"], "license": ["mit"]} | 2022-10-25T09:29:03+00:00 | [] | [
"si"
] | TAGS
#language-Sinhala #license-mit #region-us
|
This repository contains the dataset for paper "A Neural Spell Corrector and a baseline for Sinhala SpellCorrection" | [] | [
"TAGS\n#language-Sinhala #license-mit #region-us \n"
] | [
17
] | [
"passage: TAGS\n#language-Sinhala #license-mit #region-us \n"
] |
112802ed7e3fdf9f4ff285e2e17fafd0f13c648b | This research focuses on finding the best possible deep learning-based techniques to measure the short sentence similarity for low-resourced languages, focusing on Tamil and Sinhala sort sentences by utilizing existing unsupervised techniques for English. Original repo available on https://github.com/nlpcuom/Tamil-Sinh... | NLPC-UOM/Tamil-Sinhala-short-sentence-similarity-deep-learning | [
"language:ta",
"language:si",
"license:mit",
"region:us"
] | 2022-06-03T14:50:17+00:00 | {"language": ["ta", "si"], "license": ["mit"]} | 2022-10-25T09:29:06+00:00 | [] | [
"ta",
"si"
] | TAGS
#language-Tamil #language-Sinhala #license-mit #region-us
| This research focuses on finding the best possible deep learning-based techniques to measure the short sentence similarity for low-resourced languages, focusing on Tamil and Sinhala sort sentences by utilizing existing unsupervised techniques for English. Original repo available on URL | [] | [
"TAGS\n#language-Tamil #language-Sinhala #license-mit #region-us \n"
] | [
21
] | [
"passage: TAGS\n#language-Tamil #language-Sinhala #license-mit #region-us \n"
] |
ca94af86c7d1ea6b8c218ba2623f48490f69a7a3 |
*Sentiment Analysis of Sinhala News Comments*
Dataset used in this project is collected by crawling Sinhala online news sites, mainly www.lankadeepa.lk.
contact
Please contact us if you need more information.
Surangika Ranathunga-surangika@cse.mrt.ac.lk
Isuru Liyanage-theisuru@gmail.com
https://github.com/theisuru... | NLPC-UOM/Sentiment-tagger | [
"language:si",
"license:mit",
"region:us"
] | 2022-06-03T14:51:41+00:00 | {"language": ["si"], "license": ["mit"]} | 2022-10-25T09:29:09+00:00 | [] | [
"si"
] | TAGS
#language-Sinhala #license-mit #region-us
|
*Sentiment Analysis of Sinhala News Comments*
Dataset used in this project is collected by crawling Sinhala online news sites, mainly URL.
contact
Please contact us if you need more information.
Surangika Ranathunga-surangika@URL
Isuru Liyanage-theisuru@URL
URL
cite
If you use this data please cite this work
Rana... | [] | [
"TAGS\n#language-Sinhala #license-mit #region-us \n"
] | [
17
] | [
"passage: TAGS\n#language-Sinhala #license-mit #region-us \n"
] |
d525835b7beb6509312dd1c5d4e31208dbb39bd4 | This dataset consists of around 350,000 OCaml programs. | AllenGeng/OCaml_program_corpus | [
"region:us"
] | 2022-06-04T20:52:56+00:00 | {} | 2022-06-05T15:41:33+00:00 | [] | [] | TAGS
#region-us
| This dataset consists of around 350,000 OCaml programs. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
88ae7dac7cae297ffb4bf0db0af1a71323f03484 |
# GamePhysics Dataset
[](https://asgaardlab.github.io/CLIPxGamePhysics/)
[](https://arxiv.org/abs/2203.11096)
[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-... | asgaardlab/GamePhysics | [
"license:creativeml-openrail-m",
"arxiv:2203.11096",
"region:us"
] | 2022-06-04T22:24:34+00:00 | {"license": "creativeml-openrail-m"} | 2022-12-12T03:17:49+00:00 | [
"2203.11096"
] | [] | TAGS
#license-creativeml-openrail-m #arxiv-2203.11096 #region-us
|
# GamePhysics Dataset
![Website](URL
![arXiv](URL
![Hugging Face Spaces](URL
The GamePhysics dataset is a collection of gameplay bug videos sourced from the GamePhysics subreddit.
## Sample videos
<video src="URL controls="controls" muted="muted" playsinline="playsinline" width=480></video>
<video src="URL control... | [
"# GamePhysics Dataset\n\n![Website](URL\n![arXiv](URL\n![Hugging Face Spaces](URL\n\nThe GamePhysics dataset is a collection of gameplay bug videos sourced from the GamePhysics subreddit.",
"## Sample videos\n<video src=\"URL controls=\"controls\" muted=\"muted\" playsinline=\"playsinline\" width=480></video>\n<... | [
"TAGS\n#license-creativeml-openrail-m #arxiv-2203.11096 #region-us \n",
"# GamePhysics Dataset\n\n![Website](URL\n![arXiv](URL\n![Hugging Face Spaces](URL\n\nThe GamePhysics dataset is a collection of gameplay bug videos sourced from the GamePhysics subreddit.",
"## Sample videos\n<video src=\"URL controls=\"co... | [
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4e539bff1729a7a4fd72fcdbb2dfbfcff71574fe |
The [Heart Disease Data Set](https://archive.ics.uci.edu/ml/datasets/heart+Disease) is provided by the Cleveland Clinic Foundation for Heart Disease. It's a CSV file with 303 rows. Each row contains information about a patient (a sample), and each column describes an attribute of the patient (a feature). We use the fe... | buio/heart-disease | [
"structured-data",
"tabular-data",
"classification",
"region:us"
] | 2022-06-05T10:39:25+00:00 | {"tags": ["structured-data", "tabular-data", "classification"]} | 2022-06-05T10:48:42+00:00 | [] | [] | TAGS
#structured-data #tabular-data #classification #region-us
|
The Heart Disease Data Set is provided by the Cleveland Clinic Foundation for Heart Disease. It's a CSV file with 303 rows. Each row contains information about a patient (a sample), and each column describes an attribute of the patient (a feature). We use the features to predict whether a patient has a heart disease (... | [] | [
"TAGS\n#structured-data #tabular-data #classification #region-us \n"
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f7347d76a8c48dedd19e4cf675f6140b74dd15c8 |
# Dataset Card for 2ch_b_dialogues
## 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... | BlackSamorez/2ch_b_dialogues | [
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|
# Dataset Card for 2ch_b_dialogues
## 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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e31855201132ea2a257d7df77c828d7c02427521 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/fiqa | [
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] | 2022-06-05T13:48:54+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:00:28+00:00 | [] | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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d158b3b1564c0d022d67c482c3d5bbb10922dfe7 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/trec-covid | [
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] | 2022-06-05T13:49:49+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:00:45+00:00 | [] | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
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de6188e66fd45b975dfaef454eae6ba38e1c9f32 | # Dataset Card for TSATC: Twitter Sentiment Analysis Training Corpus
## 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)
... | carblacac/twitter-sentiment-analysis | [
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"language:en",
"license:apache-2.0",
"region:us"
] | 2022-06-05T14:25:44+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["other"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["feeling-classification"], "papers... | 2022-10-25T04:42:06+00:00 | [] | [
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| Dataset Card for TSATC: Twitter Sentiment Analysis Training Corpus
==================================================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ ... | [
"### Dataset Summary\n\n\nTSATC: Twitter Sentiment Analysis Training Corpus\nThe original Twitter Sentiment Analysis Dataset contains 1,578,627 classified tweets, each row is marked as 1 for positive sentiment and 0 for negative sentiment. It can be downloaded from URL\nThe dataset is based on data from the followi... | [
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532ac68ee6756ac22c9346eebf65bd3c6a042e10 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/trec-covid-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
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984eed826375f18d27936c4a32bf0f8491e3f414 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/scifact | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
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e28763e68d85db0fa71652ba3c4afabf8c5b3bb7 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/nfcorpus | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
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a3fa9dd86468c73c653a486b39ad9d22076b8aa5 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/msmarco | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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ed7edb11ab8c173ff4394c30ff266c7297904b24 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/nq | [
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] | 2022-06-05T15:37:56+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:02:24+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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d01a1664af564332aeb82454911d50f83a8a05ee |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/hotpotqa | [
"task_categories:text-retrieval",
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] | 2022-06-05T15:40:18+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:02:40+00:00 | [] | [
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#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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900330faa8ca2828a468dfe795f9d3c3887c8cfc |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/arguana | [
"task_categories:text-retrieval",
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] | 2022-06-05T15:52:11+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:03:08+00:00 | [] | [
"en"
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#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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7acefc52139f7c7503f61643cde7dde772e4c089 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/webis-touche2020 | [
"task_categories:text-retrieval",
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] | 2022-06-05T15:52:25+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:03:23+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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24b7ce5e3e999c56c6a30b5dd285e7af5f02dca5 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/quora | [
"task_categories:text-retrieval",
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"language:en",
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] | 2022-06-05T15:53:54+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:03:40+00:00 | [] | [
"en"
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#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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557e61a19c83e94bb79c1d0e378f599241588b90 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/dbpedia-entity | [
"task_categories:text-retrieval",
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] | 2022-06-05T15:54:24+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:03:56+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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7abe49caf46c871ac644ffa3d3ba362d01290afb |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/scidocs | [
"task_categories:text-retrieval",
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] | 2022-06-05T15:57:38+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:04:15+00:00 | [] | [
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#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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7e012b2fdeed2d45b1a1a883ab3efad279cf4aff |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/fever | [
"task_categories:text-retrieval",
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] | 2022-06-05T15:58:21+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:04:31+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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832d0267900abd287c5cad8e3e16d2336b248eaa |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/climate-fever | [
"task_categories:text-retrieval",
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] | 2022-06-05T16:03:57+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:04:48+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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2938d17dc3b09882fdb8c12bbbe2e2dc0e75a029 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/scifact-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
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a451b3b26d3ae1358f259c1a3a4dd61fcea35a65 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/nfcorpus-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
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253fbf8a3f8d4a0932b63882b5162bedc84779f5 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/msmarco-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
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"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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b15429e9244c8ec966985d7778427c3b1543b314 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/hotpotqa-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
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"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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252958f2d646e22cab6d0c72dd3f0d5de6d0655a |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/fiqa-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
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ae5468c6f1c198109a8af5f0d4dc58bd18b6fea7 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/arguana-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
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"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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dea3c4c7339f61c3e1abc42b9bdbf337b115aa97 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/webis-touche2020-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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7906857d63e4b4d41fd16c954c929c3ff3c580d9 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/quora-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
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c81f61ac54bbd5f162f9dc6ad36e236e2aeb8d82 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
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+ Languages
* Dataset Structure
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+ Data Fields
+ Data Splits
* Dataset Creation
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735ea1048e37b1ebce14c6dc3d33a5edaf66d3dc |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/scidocs-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
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64cd0e4ef9b63a88ac8e69d1133a2f649acd4745 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/fever-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
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ca2c7ed51cf8b40c10c23a099a27eceb3678156b |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/climate-fever-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
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ddba77c23da8cb571d22acfd5c0ca85bce2c3d98 | # MidcurveNN
Paired images of Profiles and their respective Midcurves
---
license: apache-2.0
---
# Dataset for Midcurve Computation
## Description
Dataset: set of images, can be c... | yogeshkulkarni/MidcurveNN | [
"arxiv:1904.0429",
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] | 2022-06-06T04:55:15+00:00 | {} | 2022-06-06T07:39:46+00:00 | [
"1904.0429"
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#arxiv-1904.0429 #region-us
| # MidcurveNN
Paired images of Profiles and their respective Midcurves
---
license: apache-2.0
---
# Dataset for Midcurve Computation
![](URL
## Description
Dataset: set of images, can be considered as pairs, profiles and their corresponding midcurves, with naming convention as
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cb66212ad29e9d25cb8a93e2a024926a82e1c8bc |
Fine-tuned empathetic dialogue datasets from https://huggingface.co/datasets/empathetic_dialogues
With labeled chat history, system response, question or not and behavior.
| Adapting/empathetic_dialogues_v2 | [
"license:afl-3.0",
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|
Fine-tuned empathetic dialogue datasets from URL
With labeled chat history, system response, question or not and behavior.
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519acd4e48bb3e5da22b2b888ce36c614f4f2bc9 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/nq-qrels | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
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40911c400822855a48328accb2f2b7688e290db3 |
# Dataset Card for Fewshot Table Dataset
## 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)
- ... | JeremyAlain/123_test | [
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# Dataset Card for Fewshot Table Dataset
## Table of Contents
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- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
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fa799d392fa269bd5d471d58d9cda4940df8face |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/arguana-generated-queries | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
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e7f3b5784903b069fced19562f6c9c0bc3fab008 |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/climate-fever-generated-queries | [
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] | 2022-06-06T21:07:02+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:09:20+00:00 | [] | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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00b63b32a877b1788bb03fa45a7138d6f756587b |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/dbpedia-entity-generated-queries | [
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"region:us"
] | 2022-06-06T21:21:33+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:09:39+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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fc0986aa79e6486b5a0e8092e3066055a221c07a |
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | BeIR/fever-generated-queries | [
"task_categories:text-retrieval",
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] | 2022-06-06T21:35:27+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-23T05:09:56+00:00 | [] | [
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| Dataset Card for BEIR Benchmark
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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e18c6f4fc7555e7e2294070c77f9ff23215436a9 |
# Dataset Card for "Non-Parallel MultiEURLEX (incl. Translations)"
## 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)
... | nlpaueb/multi_eurlex | [
"task_categories:text-classification",
"task_ids:multi-label-classification",
"task_ids:topic-classification",
"annotations_creators:found",
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"language_creators:machine-generated",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:extended|multi... | 2022-06-07T09:28:06+00:00 | {"annotations_creators": ["found"], "language_creators": ["found", "machine-generated"], "language": ["en", "de", "fr", "el", "sk"], "license": ["cc-by-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|multi_eurlex"], "task_categories": ["text-classification... | 2022-10-25T09:29:13+00:00 | [] | [
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================================================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data... | [
"### Dataset Summary\n\n\nDocuments\n\n\nMultiEURLEX of Chalkidis et al. (2021) comprises 65k EU laws in 23 official EU languages. Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU. Each EUROVOC label ID is associated with a *label descriptor*, e.g., [60, agri-foodstuffs]... | [
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a69005be8d20e2982fedbe0474c5a653adf290f8 | # Kinyarwanda English Parallel Datasets for Machine translation
A 48,000 Kinyarwanda English Parallel datasets for machine translation, made by curating and translating normal Kinyarwanda sentences into English | DigitalUmuganda/kinyarwanda-english-machine-translation-dataset | [
"annotations_creators:expert-generated",
"language_creators:Digital Umuganda",
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"language:en",
"language:rw",
"license:cc-by-4.0",
"region:us"
] | 2022-06-07T13:41:38+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["Digital Umuganda"], "language": ["en", "rw"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["40K<n<50K"], "pretty_name": "parallel corpus"} | 2022-11-04T16:12:51+00:00 | [] | [
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| # Kinyarwanda English Parallel Datasets for Machine translation
A 48,000 Kinyarwanda English Parallel datasets for machine translation, made by curating and translating normal Kinyarwanda sentences into English | [
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bf6c430a8673a2305638576a61f99efdd4f7b2a1 |
# Dataset Card for MIT_movies_fixed
## 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 ... | rungalileo/mit_movies_fixed_connll_format | [
"task_categories:token-classification",
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"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | 2022-06-07T18:04:54+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pr... | 2022-10-25T17:39:27+00:00 | [] | [
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] | TAGS
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|
# Dataset Card for MIT_movies_fixed
## 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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9b4bd7a2ef419b151d6c0471eaed9b51a999e920 | A collection of sentences extracted from customer reviews labeled with their helpfulness score.
Source : https://registry.opendata.aws/helpful-sentences-from-reviews/
raw data: https://helpful-sentences-from-reviews.s3.amazonaws.com/test.json | banjtheman/AmazonHelpfulReviewsTest | [
"region:us"
] | 2022-06-07T18:15:03+00:00 | {} | 2022-06-07T18:24:01+00:00 | [] | [] | TAGS
#region-us
| A collection of sentences extracted from customer reviews labeled with their helpfulness score.
Source : URL
raw data: URL | [] | [
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efa7a16d1ee0fdf2dfc27db2e5feb6f2a6c18313 | A collection of sentences extracted from customer reviews labeled with their helpfulness score.
Source : https://registry.opendata.aws/helpful-sentences-from-reviews/
raw data: https://helpful-sentences-from-reviews.s3.amazonaws.com/train.json | banjtheman/AmazonHelpfulReviewsTrain | [
"region:us"
] | 2022-06-07T18:15:04+00:00 | {} | 2022-06-07T18:24:36+00:00 | [] | [] | TAGS
#region-us
| A collection of sentences extracted from customer reviews labeled with their helpfulness score.
Source : URL
raw data: URL | [] | [
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cb0edcf6a5b54094a4ba9ce400bd9a5e04dc0f1c | ---
---
# Dataset Card for [test]
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
| noahgift/test | [
"region:us"
] | 2022-06-07T19:52:35+00:00 | {} | 2022-06-07T19:54:42+00:00 | [] | [] | TAGS
#region-us
| ---
---
# Dataset Card for [test]
## Dataset Description
- Homepage:
- Repository:
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- Leaderboard:
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755a72db1a7464c7fd50b750303fcaed8c6afe6d | This dataset is just a mini-dataset for a dead language bruh | AleDella/tone | [
"license:wtfpl",
"region:us"
] | 2022-06-07T21:33:20+00:00 | {"license": "wtfpl"} | 2022-08-10T08:08:36+00:00 | [] | [] | TAGS
#license-wtfpl #region-us
| This dataset is just a mini-dataset for a dead language bruh | [] | [
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4476df9a1081ec2029e000dcd6a1133535c6630d |
# SPOLIN
[![CC BY-NC 4.0][cc-by-nc-shield]][cc-by-nc]
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Available SPOLIN Versions](#available_spolin_versions)
- [Relevant Links](#relevant-links)
- [Dataset Structure](#dataset-structure)
- [Dataset Stati... | wise-east/spolin | [
"task_categories:text-classification",
"task_categories:text-generation",
"task_ids:text-scoring",
"task_ids:dialogue-modeling",
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"language_creators:expert-generated",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"size_c... | 2022-06-08T04:17:30+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["expert-generated", "other"], "language": ["en"], "license": ["cc-by-nc-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M", "10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification", "text-generation... | 2022-10-25T09:29:16+00:00 | [
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======
[](URL)
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Available SPOLIN Versions
+ Relevant Links
* Dataset Structure
* Dataset Statistics
* Other Information
+ ACL Presentation
+ Licensing Information
+ Citation Information
Dataset Descript... | [
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ba02f191564af928f2eb2953cb3d98fb7a718240 |
# Dataset Card for SRSD-Feynman (Easy set)
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#d... | yoshitomo-matsubara/srsd-feynman_easy | [
"task_categories:tabular-regression",
"annotations_creators:expert",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended",
"language:en",
"license:cc-by-4.0",
"arxiv:2206.10540",
"doi:10.57967/hf/0763",
"region:us"
] | 2022-06-08T05:21:39+00:00 | {"annotations_creators": ["expert"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended"], "task_categories": ["tabular-regression"], "task_ids": [], "pretty_name": "SRSD-Feynman (Ea... | 2023-10-11T01:05:39+00:00 | [
"2206.10540"
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|
# Dataset Card for SRSD-Feynman (Easy set)
## 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
- Annotati... | [
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5aa56e8f1908724ccf0df50190f74773b5f0a6c1 |
# Dataset Card for SRSD-Feynman (Medium set)
## 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](... | yoshitomo-matsubara/srsd-feynman_medium | [
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"2206.10540"
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|
# Dataset Card for SRSD-Feynman (Medium set)
## 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
- Annota... | [
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dbeba3e625bc43ee59024433c0f7488d9884ee8b |
# Dataset Card for SRSD-Feynman (Hard set)
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#d... | yoshitomo-matsubara/srsd-feynman_hard | [
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"arxiv:2206.10540",
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|
# Dataset Card for SRSD-Feynman (Hard set)
## 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
- Annotati... | [
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47e52418b510b5b7c4bbe6d821f9b38a13e7775b | #### Update: OCT-2023 ###
Add v2 with recent SoTA model **swinV2 classifier** for both soft/*hard-label* visual_caption_cosine_score_v2 with _person_ label (0.2, 0.3 and 0.4)
# Introduction
Modern image captaining relies heavily on extracting knowledge, from images such as objects,
to capture the concept of stat... | AhmedSSabir/Textual-Image-Caption-Dataset | [
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"visual semantic",
"semantic similarity",
"arxiv:2301.08784",
"arxiv:1408.5882",
... | 2022-06-08T09:36:12+00:00 | {"language": ["en"], "task_categories": ["image-to-text", "image-classification", "visual-question-answering", "sentence-similarity"], "pretty_name": " image captioning language grounding visual semantic ", "tags": ["image captioning", "language grounding", "visual semantic", "semantic similarity"]} | 2023-12-04T18:02:59+00:00 | [
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| #### Update: OCT-2023 ###
Add v2 with recent SoTA model swinV2 classifier for both soft/*hard-label* visual_caption_cosine_score_v2 with _person_ label (0.2, 0.3 and 0.4)
# Introduction
Modern image captaining relies heavily on extracting knowledge, from images such as objects,
to capture the concept of static s... | [
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cefa5bbe8262dcbd13ad8192c11a696fc06f6b1c |
# Dataset Card for "tydiqa"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | juletxara/tydiqa_xtreme | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:crowdsourced",
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"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:extended|wikipedia",
"language:en",
"language:ar",
"language:bn",
"language:fi",
"l... | 2022-06-08T09:42:42+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en", "ar", "bn", "fi", "id", "ja", "sw", "ko", "ru", "te", "th"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": ["extended|wikipedia"], "task_categories": ... | 2022-07-01T18:19:05+00:00 | [
"2003.11080"
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=========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations... | [
"### Dataset Summary\n\n\nTyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs.\nThe languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language\nexpresses -- such that we expect models performing ... | [
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148b4d77bc004f3775c08d1112ebebdf3927d8c1 | # Dataset
5M (5121625) clean Japanese full sentence with the context. This dataset can be used to learn unsupervised semantic similarity, etc. | AhmedSSabir/Japanese-wiki-dump-sentence-dataset | [
"task_categories:sentence-similarity",
"task_categories:text-classification",
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:ja",
"region:us"
] | 2022-06-08T10:34:04+00:00 | {"language": ["ja"], "size_categories": ["1M<n<10M"], "task_categories": ["sentence-similarity", "text-classification", "text-generation"]} | 2023-07-11T11:22:09+00:00 | [] | [
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] | TAGS
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| # Dataset
5M (5121625) clean Japanese full sentence with the context. This dataset can be used to learn unsupervised semantic similarity, etc. | [
"# Dataset \n\n5M (5121625) clean Japanese full sentence with the context. This dataset can be used to learn unsupervised semantic similarity, etc."
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6ec29d1f9cfc2c623d147b171247d30f3c51b550 | <samp>
# SWAHILI-NER-DATASET
Swahili NER dataset is a Named Entity Recognition (NER) dataset generated from <https://huggingface.co/datasets/swahili> using back-translation techniques.
In case you're interested to explore more about the script used to generate this dataset, please have a look into [Augumented Swahil... | neurotech/swahili-ner-dataset | [
"region:us"
] | 2022-06-08T10:49:09+00:00 | {} | 2022-06-08T10:55:33+00:00 | [] | [] | TAGS
#region-us
| <samp>
# SWAHILI-NER-DATASET
Swahili NER dataset is a Named Entity Recognition (NER) dataset generated from <URL using back-translation techniques.
In case you're interested to explore more about the script used to generate this dataset, please have a look into Augumented Swahili Data.
This data has been cleaned us... | [
"# SWAHILI-NER-DATASET\n\nSwahili NER dataset is a Named Entity Recognition (NER) dataset generated from <URL using back-translation techniques.\n\nIn case you're interested to explore more about the script used to generate this dataset, please have a look into Augumented Swahili Data.\n\nThis data has been cleaned... | [
"TAGS\n#region-us \n",
"# SWAHILI-NER-DATASET\n\nSwahili NER dataset is a Named Entity Recognition (NER) dataset generated from <URL using back-translation techniques.\n\nIn case you're interested to explore more about the script used to generate this dataset, please have a look into Augumented Swahili Data.\n\nT... | [
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"passage: TAGS\n#region-us \n# SWAHILI-NER-DATASET\n\nSwahili NER dataset is a Named Entity Recognition (NER) dataset generated from <URL using back-translation techniques.\n\nIn case you're interested to explore more about the script used to generate this dataset, please have a look into Augumented Swahili Data.\n... |
b0c67f6230b01bb20644fdfa9f6b00af43f1412d | # Chat Dataset
Derived from Hitomi Team's [Convo Dataset](https://github.com/hitomi-team/convo-dataset) on Github, the Chat Dataset is a vast dataset with diverse data used for training models to assist in conversation analysis and generation.
## Getting Started
### Prerequisites
- Python
- Git LFS
## DISCLAIMER
... | tonytins/chat-dataset | [
"region:us"
] | 2022-06-08T12:12:08+00:00 | {} | 2022-06-10T02:36:25+00:00 | [] | [] | TAGS
#region-us
| # Chat Dataset
Derived from Hitomi Team's Convo Dataset on Github, the Chat Dataset is a vast dataset with diverse data used for training models to assist in conversation analysis and generation.
## Getting Started
### Prerequisites
- Python
- Git LFS
## DISCLAIMER
In order to efficiently process the data, this r... | [
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741b8276f2d1982aa3d5b832d3ee81ed3b896490 |
# Dataset Card for truthful_qa
## Table of Contents
- [Dataset Card for truthful_qa](#dataset-card-for-truthful_qa)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leader... | truthful_qa | [
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"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monoling... | 2022-06-08T13:44:06+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["multiple-choice", "text-generation", "question-answering"], "tas... | 2024-01-04T16:36:00+00:00 | [
"2109.07958"
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=============================
Table of Contents
-----------------
* Dataset Card for truthful\_qa
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
* generation
* multiple\_ch... | [
"### Dataset Summary\n\n\nTruthfulQA is a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 questions that span 38 categories, including health, law, finance and politics. Questions are crafted so that some humans would answer falsely due to a ... | [
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49e7bd1793ccc082c3fd25ac50ade795870f22ff |
The dataset contains the main components of the news articles published online by the newspaper named <a href="https://gazzettadimodena.gelocal.it/modena">Gazzetta di Modena</a>: url of the web page, title, sub-title, text, date of publication, crime category assigned to each news article by the author.
The news arti... | frollo/ItalianCrimeNews | [
"license:mit",
"region:us"
] | 2022-06-08T15:18:44+00:00 | {"license": "mit"} | 2022-06-08T15:22:28+00:00 | [] | [] | TAGS
#license-mit #region-us
|
The dataset contains the main components of the news articles published online by the newspaper named <a href="URL di Modena</a>: url of the web page, title, sub-title, text, date of publication, crime category assigned to each news article by the author.
The news articles are written in Italian and describe 11 types... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
29a9373ec456e75942a3a10a9f9f37a37f7e6726 |
# Dataset Card for BIG-bench
## 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... | bigbench | [
"task_categories:multiple-choice",
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... | 2022-06-08T16:33:02+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated", "machine-generated"], "language_creators": ["crowdsourced", "expert-generated", "machine-generated", "other"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["multilingual", "monolingual"], "size_categories": ["unknown"], "source_datasets... | 2024-01-18T11:19:14+00:00 | [
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==========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Sour... | [
"### Dataset Summary\n\n\nThe Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their future capabilities. Tasks included in BIG-bench are summarized by keyword here, and by task name here. A paper introducing the benchmark, includin... | [
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b8fc0b50ec2a62599a31db66daac2a8985078a6d | A collection of default settings for the text-to-image model [Latent Majesty Diffusion](https://colab.research.google.com/github/multimodalart/majesty-diffusion/blob/main/latent.ipynb). If you love your settings, please add yours by going to the `Files and versions` tab and hitting upload.
![How to upload](https://i.im... | multimodalart/latent-majesty-diffusion-settings | [
"license:mit",
"region:us"
] | 2022-06-08T22:28:07+00:00 | {"license": "mit"} | 2022-06-08T22:42:14+00:00 | [] | [] | TAGS
#license-mit #region-us
| A collection of default settings for the text-to-image model Latent Majesty Diffusion. If you love your settings, please add yours by going to the 'Files and versions' tab and hitting upload.
!How to upload
Also please add a description on what your settings excel (it's okay if they are general purpose too)
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4ddd995cb15cf69ee154753ceed4433a7d85c977 | ---
license: mit
---
A collection of default settings for the text-to-image model [V-Majesty Diffusion](https://github.com/multimodalart/majesty-diffusion#v-majesty-diffusion-v12). If you love your settings, please add yours by going to the `Files and versions` tab and hitting upload.
![How to upload](https://i.imgur.c... | multimodalart/v-majesty-diffusion-settings | [
"license:mit",
"region:us"
] | 2022-06-08T22:54:58+00:00 | {"license": "mit"} | 2022-06-08T23:04:20+00:00 | [] | [] | TAGS
#license-mit #region-us
| ---
license: mit
---
A collection of default settings for the text-to-image model V-Majesty Diffusion. If you love your settings, please add yours by going to the 'Files and versions' tab and hitting upload.
!How to upload
Also please add a description on what your settings excel (it's okay if they are general purpose ... | [] | [
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6c1a1284eb3557055d7c57b91cd7e68e3252b32c |
## Dataset Description
- **Homepage:** [Human Action Recognition (HAR) Dataset](https://www.kaggle.com/datasets/meetnagadia/human-action-recognition-har-dataset)
- **Repository:** N/A
- **Paper:** N/A
- **Leaderboard:** N/A
- **Point of Contact:** N/A
## Dataset Summary
A dataset from [kaggle](https://www.kaggle.com/... | Bingsu/Human_Action_Recognition | [
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#task_categories-image-classification #size_categories-10K<n<100K #source_datasets-original #language-English #license-odbl #region-us
| Dataset Description
-------------------
* Homepage: Human Action Recognition (HAR) Dataset
* Repository: N/A
* Paper: N/A
* Leaderboard: N/A
* Point of Contact: N/A
Dataset Summary
---------------
A dataset from kaggle. origin: URL
### Introduction
* The dataset features 15 different classes of Human Activiti... | [
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f46f986fff162cdbfe9f35874a08d9cec2446b6e | # AutoTrain Dataset for project: quality-customer-reviews
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project quality-customer-reviews.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset look... | florentgbelidji/autotrain-data-quality-customer-reviews | [
"task_categories:text-classification",
"language:en",
"region:us"
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"en"
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#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: quality-customer-reviews
=======================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project quality-customer-reviews.
### Languages
The BCP-47 code for the dataset's language is en.... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
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f666ec81588b1b9df9f93bcbc0ee19a5ca264ad9 |
# Dataset Card for Quick, Draw!
## 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-stru... | quickdraw | [
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| Dataset Card for Quick, Draw!
=============================
Table of Contents
-----------------
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* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
... | [
"### Dataset Summary\n\n\nThe Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game Quick, Draw!. The drawings were captured as timestamped vectors, tagged with metadata including what the player was asked to draw and in which country the player was loca... | [
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5df91be3ec941e3ce0e9e214d0be2d208bcb6b05 | ## Auto Miles per Gallon (MPG) Dataset
Following description was taken from [UCI machine learning repository](https://archive.ics.uci.edu/ml/datasets/auto+mpg).
Source: This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the 1983 American Statistic... | scikit-learn/auto-mpg | [
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"language:en",
"license:apache-2.0",
"scikit-learn",
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#task_categories-tabular-classification #task_categories-tabular-regression #language-English #license-apache-2.0 #scikit-learn #region-us
| ## Auto Miles per Gallon (MPG) Dataset
Following description was taken from UCI machine learning repository.
Source: This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the 1983 American Statistical Association Exposition.
## Data Set Information:... | [
"## Auto Miles per Gallon (MPG) Dataset\n\nFollowing description was taken from UCI machine learning repository.\nSource: This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the 1983 American Statistical Association Exposition.",
"## Data Set ... | [
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7d0c06fa172853f1eb41358c1c9ec081c478d24a | # AutoTrain Dataset for project: qa-team-car-review-project
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project qa-team-car-review-project.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset ... | florentgbelidji/autotrain-data-qa-team-car-review-project | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2022-06-09T09:47:22+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2022-10-25T09:29:30+00:00 | [] | [
"en"
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#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: qa-team-car-review-project
=========================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project qa-team-car-review-project.
### Languages
The BCP-47 code for the dataset's language ... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
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"### Dataset Splits\n\n\nThis da... | [
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660956f28b0c98cf634d693dfb25156fceeef638 |
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
<!-- - [Dataset Creation](#dataset-crea... | sil-ai/bloom-speech | [
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* Dataset Structure
+ Data Instances
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Dataset Description
-------------------
* Homepage: SIL AI
* Point of Contact: SIL AI email
* Source Data: Bloom Library
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3a2f92dc83d67d89f1eb1885d1c75961b32722ec |
# Title 1
hahahoho
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9699ef019676b4ae1504e9c156bdb4cfda059bb5 | # AutoTrain Dataset for project: car-review-project
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project car-review-project. It contains consumer car ratings and reviews from [Edmunds website](https://www.kaggle.com/datasets/ankkur13/edmundsconsumer-car-ratings-and-reviews)
#... | qualitydatalab/autotrain-data-car-review-project | [
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"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: car-review-project
=================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project car-review-project. It contains consumer car ratings and reviews from Edmunds website
### Languages
T... | [
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13eadc735ff81c0e0537276f729f2f391e594bb8 |
# Dataset Card for Gigaspeech
## 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-struct... | speechcolab/gigaspeech | [
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| Dataset Card for Gigaspeech
===========================
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
+ So... | [
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468e1cc664d11602655e3180e8648a9d5703a761 |
# Dataset Card for answersumm
## 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... | alexfabbri/answersumm | [
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|
# Dataset Card for answersumm
## Table of Contents
- Dataset Description
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4afddd9cc59089a6a59650cd847e1650be1e5399 | MrClean/Dalleproject | [
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"region:us"
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07eeed48418a6392700eda3bba5d3eb077036864 | https://github.com/eladrich/pixel2style2pixel.git | Impostor/Pixel | [
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"region:us"
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1968c2e5f786501e647c46386dac435e5babd32d |
# MuP - Multi Perspective Scientific Document Summarization
Generating summaries of scientific documents is known to be a challenging task. Majority of existing work in summarization assumes only one single best gold summary for each given document. Having only one gold summary negatively impacts our ability to evalu... | allenai/mup-full | [
"license:odc-by",
"region:us"
] | 2022-06-09T23:07:46+00:00 | {"license": ["odc-by"]} | 2022-10-25T09:29:44+00:00 | [] | [] | TAGS
#license-odc-by #region-us
|
# MuP - Multi Perspective Scientific Document Summarization
Generating summaries of scientific documents is known to be a challenging task. Majority of existing work in summarization assumes only one single best gold summary for each given document. Having only one gold summary negatively impacts our ability to evalu... | [
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35ed298434fb9458d27546dc64ce88b1eb93a2d1 | ## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Other Known Limitations](#other-known-limitations)
## Dataset Description
- **Point of Contact:** [Nart Tlisha](mailto:daniel.abzakh@... | Nart/parallel-ab-ru | [
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| ## Table of Contents
- Dataset Description
- Dataset Summary
- Considerations for Using the Data
- Other Known Limitations
## Dataset Description
- Point of Contact: Nart Tlisha
- Size of the generated dataset: 33.5 MB
### Dataset Summary
The Abkhaz Russian parallel corpus dataset is a collection of 205,665 sent... | [
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33313bc359ab206b3dedc32c3017ba5fc2b26a78 | # Glue WSC Fixed
This dataset is a port of the official [`wsc.fixed` dataset](https://huggingface.co/datasets/super_glue/viewer/wsc.fixed/train) on the Hub.
Also, the test split is not labeled; the label column values are always -1.
| SetFit/wsc_fixed | [
"region:us"
] | 2022-06-10T12:53:16+00:00 | {} | 2022-06-10T12:55:19+00:00 | [] | [] | TAGS
#region-us
| # Glue WSC Fixed
This dataset is a port of the official 'URL' dataset on the Hub.
Also, the test split is not labeled; the label column values are always -1.
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8694ce7ea420cbcce8a7e4316bfebce9ee4a0665 | # Glue WSC
This dataset is a port of the official [`wsc` dataset](https://huggingface.co/datasets/super_glue) on the Hub.
Also, the test split is not labeled; the label column values are always -1.
| SetFit/wsc | [
"region:us"
] | 2022-06-10T12:57:36+00:00 | {} | 2022-06-10T12:59:09+00:00 | [] | [] | TAGS
#region-us
| # Glue WSC
This dataset is a port of the official 'wsc' dataset on the Hub.
Also, the test split is not labeled; the label column values are always -1.
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01e427e689e9d3a9097f85eab7a91ce937cf5f98 | # Customer Reviews
This dataset is a port of the official [`CR` dataset](https://github.com/hiyouga/Dual-Contrastive-Learning/tree/main/data) from [this paper](https://www.cs.uic.edu/~liub/FBS/opinion-mining-final-WSDM.pdf).
There is no validation split. | SetFit/CR | [
"region:us"
] | 2022-06-10T13:30:21+00:00 | {} | 2022-06-21T08:04:33+00:00 | [] | [] | TAGS
#region-us
| # Customer Reviews
This dataset is a port of the official 'CR' dataset from this paper.
There is no validation split. | [
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ddd2bbc0e2119770e28033421296e74818981e33 | # Italian Tweets Test Dataset
This is a dataset with 10M italian tweets. It still contains errors. Please do not use.
## How to Use
```python
from datasets import load_dataset
data = load_dataset("pere/italian_tweets_10M")
```
| pere/italian_tweets_10M | [
"region:us"
] | 2022-06-10T15:12:45+00:00 | {} | 2022-06-12T17:26:39+00:00 | [] | [] | TAGS
#region-us
| # Italian Tweets Test Dataset
This is a dataset with 10M italian tweets. It still contains errors. Please do not use.
## How to Use
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49db1aafbad19ee8a494342f74c1a640b5a70e75 |
# 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... | khalidalt/ultimate_arabic_news | [
"region:us"
] | 2022-06-11T05:06:25+00:00 | {} | 2022-06-15T13:46:10+00:00 | [] | [] | TAGS
#region-us
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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
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- P... | [
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674d842241096b770b86bf5c69ac85d7a68a5fc3 |
# Dataset Card for "XKCD"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Dataset Creation](#dataset-c... | olivierdehaene/xkcd | [
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|
# Dataset Card for "XKCD"
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Considerations for Using the Data
- Additional Information
- Licensing Information
- Contributions
## Dataset Description
- Hom... | [
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fd6d6a3b6083df02c5f814accda8bfff60c6b5e8 | crypto Trust**wallet customer service Support Number +**1-**818-869-**2884 | trustwallet/22 | [
"license:artistic-2.0",
"region:us"
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#license-artistic-2.0 #region-us
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3552e9fe7befc0953a0e05dfd23c9b7a43dc6d09 | crypto Trust**wallet customer service Support Number +**1-**818-869-**2884 | trustwallet/24 | [
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#license-artistic-2.0 #region-us
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6b9bd3c7b586bb335e0071e37aedd8c036643730 |
This is my first dataset. I intend for it to contain a list of given names. Some of the them will be silly ("goblin names") - the type an ogre or a fairy might have in a children's story or fantasy novel. The rest will be more mundane.
How do I get the dataviewer to work? https://huggingface.co/datasets/sudo-s/exampl... | Jerimee/sobriquet | [
"license:cc0-1.0",
"region:us"
] | 2022-06-12T17:49:41+00:00 | {"license": "cc0-1.0"} | 2022-06-13T21:17:48+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
This is my first dataset. I intend for it to contain a list of given names. Some of the them will be silly ("goblin names") - the type an ogre or a fairy might have in a children's story or fantasy novel. The rest will be more mundane.
How do I get the dataviewer to work? URL
{"Jerimee--sobriquet":
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9f599f415567235036fe3355b3f96c93f254d043 | # Dataset Card for lefff morpho
## Dataset Description
- **Homepage:** [http://almanach.inria.fr/software_and_resources/custom/Alexina-en.html](http://almanach.inria.fr/software_and_resources/custom/Alexina-en.html)
- **Repository:** [https://gitlab.inria.fr/almanach/alexina/lefff](https://gitlab.inria.fr/almanach/al... | sagot/lefff_morpho | [
"license:lgpl-lr",
"region:us"
] | 2022-06-12T18:19:49+00:00 | {"license": "lgpl-lr"} | 2022-07-23T14:52:46+00:00 | [] | [] | TAGS
#license-lgpl-lr #region-us
| # Dataset Card for lefff morpho
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Point of Contact: Benoît Sagot
### Dataset Summary
The Lefff, currently in its 3.5 version, is one of the main morphological and syntactic lexicons for French. This Hugging Face dataset provides an easy access to... | [
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9cd5b2f912bc15370f3c951f780654a513da2e10 |
# Dataset Card for syntactic_transformations
## 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)
... | amueller/syntactic_transformations | [
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"license:mit",
"region:us"
] | 2022-06-13T05:03:08+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en", "de"], "license": ["mit"], "multilinguality": ["2 languages"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["syntactic-evaluation"], "task_ids": ["syntactic-transformations"]} | 2022-10-23T05:11:48+00:00 | [] | [
"en",
"de"
] | TAGS
#annotations_creators-no-annotation #language_creators-found #multilinguality-2 languages #size_categories-100K<n<1M #source_datasets-original #language-English #language-German #license-mit #region-us
|
# Dataset Card for syntactic_transformations
## 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 Info... | [
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"TAGS\n#annotations_creators-no-annotation #language_creators-found #multilinguality-2 languages #size_categories-100K<n<1M #source_datasets-original #language-English #language-German #license-mit #region-us \n",
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36b25d29dcc966610f53f7bb0a9dabcee3844a47 | 111 | Timtel/autotrain-data-Botm | [
"region:us"
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#region-us
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a4d97d3e9333b1754ff79f4a8f0baf62a9a50a44 |
# RAFT submissions for raft-test-submission
## Submitting to the leaderboard
To make a submission to the [leaderboard](https://huggingface.co/spaces/ought/raft-leaderboard), there are three main steps:
1. Generate predictions on the unlabeled test set of each task
2. Validate the predictions are compatible with the... | lewtun/raft-test-submission | [
"benchmark:raft",
"region:us"
] | 2022-06-13T11:05:07+00:00 | {"benchmark": "raft", "type": "prediction", "submission_name": "Test submission 0"} | 2022-06-13T11:08:43+00:00 | [] | [] | TAGS
#benchmark-raft #region-us
|
# RAFT submissions for raft-test-submission
## Submitting to the leaderboard
To make a submission to the leaderboard, there are three main steps:
1. Generate predictions on the unlabeled test set of each task
2. Validate the predictions are compatible with the evaluation framework
3. Push the predictions to the Hub... | [
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