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classes | sha stringlengths 40 40 | siblings list | tags list | readme_url stringlengths 57 163 | readme stringlengths 0 977k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
breezedeus | null | null | null | false | 3 | false | breezedeus/cnocr-wx-qr-code | 2022-09-09T05:53:54.000Z | null | false | 943c6de2df24981c2717abf73e50adb87eb1a890 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/breezedeus/cnocr-wx-qr-code/resolve/main/README.md | ---
license: apache-2.0
---
欢迎扫码加入微信交流群：
|
NLPC-UOM | null | null | null | false | 3 | false | NLPC-UOM/sentence_alignment_dataset-Sinhala-Tamil-English | 2022-11-14T08:10:30.000Z | null | false | 597fb96bf7996e50d743512e5a2509aa490b88ce | [] | [] | https://huggingface.co/datasets/NLPC-UOM/sentence_alignment_dataset-Sinhala-Tamil-English/resolve/main/README.md | ### **Dataset summary**
This is a gold-standard benchmark dataset for sentence alignment, between Sinhala-English-Tamil languages. Data had been crawled from the following news websites. The aligned documents annotated in the dataset NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English had been considered to annot... |
ekinakyurek | null | \ | Factual Tracing Dataset that contains queries and abstracts, and their corresponding ground truth. | false | 11 | false | ekinakyurek/ftrace | 2022-10-23T05:56:05.000Z | null | false | 699143e74ee8fc20d035bcb95be5dc17b2147fba | [] | [
"arxiv:2205.11482",
"language:en",
"license:cc-by-sa-4.0",
"license:cc-by-nc-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:TRex",
"source_datasets:Lama",
"task_ids:influence-attribution",
"task_ids:masked-language-modeling"
] | https://huggingface.co/datasets/ekinakyurek/ftrace/resolve/main/README.md | ---
language:
- en
license:
- cc-by-sa-4.0
- cc-by-nc-4.0
multilinguality:
- monolingual
pretty_name: FTRACE
size_categories:
- 1M<n<10M
source_datasets:
- TRex
- Lama
task_categories:
- influence-attribution
- information-retrieval
- question-answering-retrieval
task_ids:
- influence-attribution
- masked-language-mode... |
GEM-submissions | null | null | null | false | 1 | false | GEM-submissions/lewtun__this-is-a-test-name__1653295318 | 2022-05-23T08:42:01.000Z | null | false | 066dd50d0f33c263821aaf7f29923d8b30b14afb | [] | [
"benchmark:gem",
"type:prediction",
"submission_name:This is a test name",
"tags:evaluation",
"tags:benchmark"
] | https://huggingface.co/datasets/GEM-submissions/lewtun__this-is-a-test-name__1653295318/resolve/main/README.md | ---
benchmark: gem
type: prediction
submission_name: This is a test name
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: This is a test name
|
GEM-submissions | null | null | null | false | 3 | false | GEM-submissions/lewtun__this-is-a-test-name__1653295430 | 2022-05-23T08:43:53.000Z | null | false | 0828fff3308a5b3ecd2672427ee23607caecf499 | [] | [
"benchmark:gem",
"type:prediction",
"submission_name:This is a test name",
"tags:evaluation",
"tags:benchmark"
] | https://huggingface.co/datasets/GEM-submissions/lewtun__this-is-a-test-name__1653295430/resolve/main/README.md | ---
benchmark: gem
type: prediction
submission_name: This is a test name
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: This is a test name
|
aflah | null | null | null | false | 1 | false | aflah/autotrain-data-Engage | 2022-05-23T09:26:40.000Z | null | false | 3846a9213fa4bd9b99e6e25f3796e410b24a2576 | [] | [] | https://huggingface.co/datasets/aflah/autotrain-data-Engage/resolve/main/README.md | ---
{}
---
# AutoTrain Dataset for project: Engage
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project Engage.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
... |
mteb | null | null | null | false | 116 | false | mteb/emotion | 2022-09-27T19:14:18.000Z | null | false | 829147f8f75a25f005913200eb5ed41fae320aa1 | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/emotion/resolve/main/README.md | ---
language:
- en
---
** Attention: There appears an overlap in train / test. I trained a model on the train set and achieved 100% acc on test set. With the original emotion dataset this is not the case (92.4% acc)** |
abdoutony207 | null | null | null | false | 2 | false | abdoutony207/en_ar_dt | 2022-05-23T11:26:04.000Z | null | false | 0469909ccfeedc8d61b483ef797fe740d5a1af4d | [] | [
"license:other"
] | https://huggingface.co/datasets/abdoutony207/en_ar_dt/resolve/main/README.md | ---
license: other
---
|
strombergnlp | null | @article{arastance,
url = {https://arxiv.org/abs/2104.13559},
author = {Alhindi, Tariq and Alabdulkarim, Amal and Alshehri, Ali and Abdul-Mageed, Muhammad and Nakov, Preslav},
title = {AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking},
year = {2021},
copyright... | The AraStance dataset contains true and false claims, where each claim is paired with one or more documents. Each claim–article pair has a stance label: agree, disagree, discuss, or unrelated. | false | 3 | false | strombergnlp/ara-stance | 2022-10-25T21:47:05.000Z | null | false | 08c220ebcca353ac76fb681fa2224aa8ce2641ef | [] | [
"arxiv:2104.13559",
"annotations_creators:crowdsourced",
"language_creators:found",
"language:ar",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:fact-checking",
"tags:stance-detection"
... | https://huggingface.co/datasets/strombergnlp/ara-stance/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- ar
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- fact-checking
pretty_name: ara-stance
tags:
- stance-detection
---
# Dataset ... |
elmurod1202 | null | null | null | false | 2 | false | elmurod1202/SimRelUz_semantic_evaluation_dataset | 2022-05-23T14:58:05.000Z | null | false | e10ced5885eee436783059b4b6b4c8cc50d3576b | [] | [] | https://huggingface.co/datasets/elmurod1202/SimRelUz_semantic_evaluation_dataset/resolve/main/README.md | <div id="top"></div>
<!-- PROJECT SHIELDS -->
<!-- PROJECT LOGO -->
<br />
<div align="center">
<h3 align="center">SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation dataset for Uzbek language</h3>
<p align="center">
We present a semantic model evaluation dataset: SimRelUz - a collection of... |
espnet | null | null | null | false | 2 | false | espnet/Libri-Trans-Spatialized_SLURP-Spatialized_dataset | 2022-06-12T08:34:02.000Z | null | false | d9d7dfd0fc2b54f0dc16165ed2ace396ad90bf22 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/espnet/Libri-Trans-Spatialized_SLURP-Spatialized_dataset/resolve/main/README.md | ---
license: cc-by-4.0
---
Spatialized Libri-Trans and Spatialized SLURP (LT-S and SLURP-S), Enhancement for Translation and Understanding dataset |
jonas | null | null | null | false | 10 | false | jonas/osdg_sdg_data_processed | 2022-10-25T10:26:04.000Z | null | false | 69be6cc1811cdae2c649ea6d95feaed35c3928c3 | [] | [
"language:en",
"task_categories:text-classification"
] | https://huggingface.co/datasets/jonas/osdg_sdg_data_processed/resolve/main/README.md | ---
language:
- en
task_categories:
- text-classification
---
# AutoTrain Dataset for project: osdg-sdg-classifier
## Dataset Descritpion
This dataset has been pre-processed using standard python cleaning functions and further automatically processed by AutoTrain for project osdg-sdg-classifier.
### Languages
The B... |
statworx | null | null | null | false | 14 | false | statworx/Py150ExceptionClassification | 2022-05-26T20:46:57.000Z | null | false | 98b83ae9c3bf43beaa2d3605ef3f352b17b95f06 | [] | [
"license:cc"
] | https://huggingface.co/datasets/statworx/Py150ExceptionClassification/resolve/main/README.md | ---
license: cc
---
|
InfroLab | null | null | null | false | 1 | false | InfroLab/REBEL-RU | 2022-05-25T21:19:31.000Z | null | false | 9de8bf3ce123d427dfde60131d711fa3847ad53a | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/InfroLab/REBEL-RU/resolve/main/README.md | ---
license: afl-3.0
---
|
bloomberg | null | null | null | false | 3 | false | bloomberg/entsum | 2022-05-23T21:03:41.000Z | null | false | 6a1046e7064c195bdd67487017c684cb1684a2a0 | [] | [] | https://huggingface.co/datasets/bloomberg/entsum/resolve/main/README.md | # Title
EntSUM: A Data Set for Entity-Centric Extractive Summarization
# Author list
Mounica Maddela*, Mayank Kulkarni*, Daniel Preotiuc-Pietro
# Description
Controllable summarization aims to provide summaries that take into account user-specified aspects and preferences to better assist them with their information... |
GroNLP | null | @article{sarti-etal-2022-divemt,
title={{DivEMT}: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages},
author={Sarti, Gabriele and Bisazza, Arianna and Guerberof Arenas, Ana and Toral, Antonio},
journal={ArXiv preprint 2205.12215},
url={https://arxiv.org/abs/2205.12215... | DivEMT is the first publicly available post-editing study of Neural Machine Translation (NMT) over a typologically diverse set of target languages. Using a strictly controlled setup, 18 professional translators were instructed to translate or post-edit the same set of English documents into Arabic, Dutch, Italian, Turk... | false | 1,309 | false | GroNLP/divemt | 2022-09-07T19:45:03.000Z | null | false | da88b8328536345fb3745c666c6c9af810697b12 | [] | [
"arxiv:2205.12215",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:found",
"language:en",
"language:it",
"language:vi",
"language:nl",
"language:uk",
"language:tr",
"language:ar",
"license:gpl-3.0",
"multilinguality:translation",
"size... | https://huggingface.co/datasets/GroNLP/divemt/resolve/main/README.md | ---
annotations_creators:
- machine-generated
- expert-generated
language_creators:
- found
language:
- en
- it
- vi
- nl
- uk
- tr
- ar
license:
- gpl-3.0
multilinguality:
- translation
pretty_name: divemt
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- translation
---
# Dataset Card for Di... |
Aniemore | null | null | null | false | 46 | false | Aniemore/resd | 2022-07-27T16:05:02.000Z | null | false | 4e7ebf65bd36ab05a65a48ee70947de5ef8a478f | [] | [
"license:mit",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language_creators:crowdsourced",
"language:ru",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:audio-classification",
"task_ids:audio-emotion-reco... | https://huggingface.co/datasets/Aniemore/resd/resolve/main/README.md | ---
license:
- mit
annotations_creators:
- expert-generated
language_creators:
- expert-generated
- crowdsourced
language:
- ru
multilinguality:
- monolingual
pretty_name: Russian Emotional Speech Dialogs
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- audio-classification
task_ids:
- audio-... |
Fhrozen | null | null | null | false | 3 | false | Fhrozen/dcase22_task3 | 2022-10-19T21:37:29.000Z | null | false | 8d0f945f1ffb7c14fe7aab860a06cd267a8a96c3 | [] | [
"license:mit",
"annotations_creators:unknown",
"language_creators:unknown",
"size_categories:100K<n<100M",
"source_datasets:unknown",
"task_categories:audio-classification",
"task_ids:slot-filling"
] | https://huggingface.co/datasets/Fhrozen/dcase22_task3/resolve/main/README.md | ---
license: mit
annotations_creators:
- unknown
language_creators:
- unknown
size_categories:
- 100K<n<100M
source_datasets:
- unknown
task_categories:
- audio-classification
task_ids:
- slot-filling
---
# DCASE 2022 Task 3 Data sets: STARSS22 Dataset + Synthetic SELD mixtures
[Audio Research Group / Tampere Univer... |
haml | null | null | null | false | 1 | false | haml/halml | 2022-05-24T02:31:58.000Z | null | false | 6b49bcfbf810d760deea4e5a995101b60edd7da5 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/haml/halml/resolve/main/README.md | ---
license: apache-2.0
---
|
trashsock | null | null | null | false | 3 | false | trashsock/hands-images | 2022-05-24T07:03:34.000Z | null | false | f1462f1779e1ce61e1a60eb648778bd2594716c6 | [] | [
"license:gpl-3.0"
] | https://huggingface.co/datasets/trashsock/hands-images/resolve/main/README.md | ---
license: gpl-3.0
---
|
Etephyr | null | null | null | false | 3 | false | Etephyr/Project-Echo | 2022-06-04T01:11:22.000Z | null | false | 1653b549a5ffd92c52bc5336c0200dead526f5c1 | [] | [
"license:mit"
] | https://huggingface.co/datasets/Etephyr/Project-Echo/resolve/main/README.md | ---
license: mit
---
## Synthesized voices from Project Echo on the Skyrim voice datasets. |
taln-ls2n | null | @MasterThesis{Schutz:2008,
author = {Alexander Thorsten Schutz},
title = {Keyphrase Extraction from Single Documents in the Open Domain Exploiting Linguistic and Statistical Methods},
booktitle = {National University of Ireland},
year = {2008}
} | PubMed benchmark dataset for keyphrase extraction and generation. | false | 15 | false | taln-ls2n/pubmed | 2022-10-26T19:14:46.000Z | null | false | 061911863bb36ea787931d7f31588f8773218173 | [] | [
"annotations_creators:unknown",
"language_creators:unknown",
"language:en",
"license:unknown",
"multilinguality:monolingual",
"size_categories:1k<n<10k",
"task_categories:text-generation",
"tags:keyphrase-generation",
"tags:keyphrase-extraction",
"tags:text-mining"
] | https://huggingface.co/datasets/taln-ls2n/pubmed/resolve/main/README.md | ---
annotations_creators:
- unknown
language_creators:
- unknown
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1k<n<10k
task_categories:
- text-generation
task_ids: []
pretty_name: PubMed
tags:
- keyphrase-generation
- keyphrase-extraction
- text-mining
---
# Schutz 2008 PubMed dat... |
ajders | null | null | null | false | 2 | false | ajders/machine_translated_cnn_dailymail_da_small | 2022-08-26T13:01:36.000Z | null | false | ccd09a46a73d31fdf3821ff736a52d07e7f21a76 | [] | [
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"language:da",
"license:apache-2.0",
"multilinguality:translation",
"size_categories:1K<n<10K",
"task_categories:summarization",
"task_ids:news-articles-summarization"
] | https://huggingface.co/datasets/ajders/machine_translated_cnn_dailymail_da_small/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- da
license:
- apache-2.0
multilinguality:
- translation
pretty_name: machine_translated_cnn_dailymail_da_small
size_categories:
- 1K<n<10K
source_datasets: []
task_categories:
- summarization
task_ids:
- news-articles-summa... |
supermario | null | null | null | false | 2 | false | supermario/autotrain-data-test-auto | 2022-05-24T22:49:55.000Z | null | false | c5aefa5486316e6a69ae5be90e174c41d8824b38 | [] | [] | https://huggingface.co/datasets/supermario/autotrain-data-test-auto/resolve/main/README.md | ---
task_categories:
- conditional-text-generation
---
# AutoTrain Dataset for project: test-auto
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project test-auto.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sa... |
slegalAI | null | null | null | false | 3 | false | slegalAI/legalquestion | 2022-05-24T15:02:29.000Z | null | false | 5aa549fea7fa314c49f8f57ea943896d15c218f0 | [] | [] | https://huggingface.co/datasets/slegalAI/legalquestion/resolve/main/README.md | |
gzbang | null | null | null | false | 2 | false | gzbang/datasetest | 2022-09-15T09:56:36.000Z | null | false | 967c5bce6c6989b18db41794965a9291d2abecb4 | [] | [] | https://huggingface.co/datasets/gzbang/datasetest/resolve/main/README.md | ss |
Aniemore | null | null | null | false | 46 | false | Aniemore/cedr-m7 | 2022-07-01T16:39:56.000Z | null | false | 9327c1f16fe9fb20d0dadcdd3394edb2fddc3ab2 | [] | [
"annotations_creators:found",
"language_creators:found",
"language:ru",
"license:mit",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|cedr",
"task_categories:text-classification",
"task_ids:sentiment-classification"
] | https://huggingface.co/datasets/Aniemore/cedr-m7/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- ru
license: mit
multilinguality:
- monolingual
pretty_name: cedr-m7
size_categories:
- 1K<n<10K
source_datasets:
- extended|cedr
task_categories:
- text-classification
task_ids:
- sentiment-classification
---
# Dataset Card for CEDR-M7
## Table ... |
blinoff | null | null | null | false | 3 | false | blinoff/healthcare_facilities_reviews | 2022-10-23T16:50:31.000Z | null | false | 1d2adddeea3cdd10fc9f2c90d96c1967ddf8b066 | [] | [
"language:ru",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"task_categories:text-classification",
"task_ids:sentiment-classification"
] | https://huggingface.co/datasets/blinoff/healthcare_facilities_reviews/resolve/main/README.md | ---
language:
- ru
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
task_categories:
- text-classification
task_ids:
- sentiment-classification
---
### Dataset Summary
The dataset contains user reviews about medical facilities.
In total it contains 70,597 reviews. The detailed distribution on sentiment sca... |
anvelezec | null | null | null | false | 3 | false | anvelezec/maderapp | 2022-05-25T17:37:17.000Z | null | false | 30bbf57f4947411efadba96fc5a3dde190c2c73b | [] | [
"license:mit"
] | https://huggingface.co/datasets/anvelezec/maderapp/resolve/main/README.md | ---
license: mit
---
Regarding image classification automation, Maderapp's botanical team worked many hours to collect, validate, and correctly label 25000 tree macroscopic images of 25 species from the Peruvian Amazonia.
The team captured these images with a mobile device's camera and a digital microscope. Each ima... |
mariodoebleriss | null | null | null | false | 3 | false | mariodoebleriss/test_dataset | 2022-05-25T18:15:57.000Z | null | false | faa9438abb42bd2da6f0fc118e0e103246022996 | [] | [
"license:other"
] | https://huggingface.co/datasets/mariodoebleriss/test_dataset/resolve/main/README.md | ---
license: other
---
|
mteb | null | @inproceedings{marc_reviews,
title={The Multilingual Amazon Reviews Corpus},
author={Keung, Phillip and Lu, Yichao and Szarvas, György and Smith, Noah A.},
booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing},
year={2020}
} | We provide an Amazon product reviews dataset for multilingual text classification. The dataset contains reviews in English, Japanese, German, French, Chinese and Spanish, collected between November 1, 2015 and November 1, 2019. Each record in the dataset contains the review text, the review title, the star rating, an a... | false | 252 | false | mteb/amazon_reviews_multi | 2022-09-27T19:10:01.000Z | null | false | c379a6705fec24a2493fa68e011692605f44e119 | [] | [
"language:de",
"language:en",
"language:es",
"language:fr",
"language:ja",
"language:zh"
] | https://huggingface.co/datasets/mteb/amazon_reviews_multi/resolve/main/README.md | ---
language:
- de
- en
- es
- fr
- ja
- zh
--- |
Lehrig | null | @ARTICLE{1021072,
author={Tzanetakis, G. and Cook, P.},
journal={IEEE Transactions on Speech and Audio Processing},
title={Musical genre classification of audio signals},
year={2002},
volume={10},
number={5},
pages={293-302},
doi={10.1109/TSA.2002.800560}} | The dataset consists of 1000 audio tracks each 30 seconds long.
It contains 10 genres, each represented by 100 tracks.
The tracks are all 22050Hz Mono 16-bit audio files in .wav format.
The genres are:
* blues
* classical
* country
* disco
* hiphop
* jazz
* metal
* pop
* reggae
* rock
This collection includes the foll... | false | 27 | false | Lehrig/GTZAN-Collection | 2022-06-13T13:54:08.000Z | null | false | 98af40a17da2d6904a8ef1e0eb2a7e9fa394e6b8 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Lehrig/GTZAN-Collection/resolve/main/README.md | ---
license: apache-2.0
---
# Dataset Card for GTZAN Collection
## 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]... |
valurank | null | null | null | false | 17 | false | valurank/News_Articles_Categorization | 2022-10-21T13:34:15.000Z | null | false | 5263ca1e56b7c42d21a5144288f7a8da2326358f | [] | [
"license:other",
"language:en",
"multilinguality:monolingual",
"task_categories:text-classification",
"task_ids:multi-class-classification"
] | https://huggingface.co/datasets/valurank/News_Articles_Categorization/resolve/main/README.md | ---
license:
- other
language:
- en
multilinguality:
- monolingual
task_categories:
- text-classification
task_ids:
- multi-class-classification
---
# Dataset Card for News_Articles_Categorization
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#datas... |
mteb | null | null | null | false | 95 | false | mteb/amazon_polarity | 2022-09-27T19:11:44.000Z | null | false | 80714f8dcf8cefc218ef4f8c5a966dd83f75a0e1 | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/amazon_polarity/resolve/main/README.md | ---
language:
- en
--- |
seoyeon-22 | null | null | null | false | 3 | false | seoyeon-22/test | 2022-05-26T01:18:09.000Z | null | false | 9bc60ec4004f5092fd6b33e0fe462ffaeb56f63d | [] | [] | https://huggingface.co/datasets/seoyeon-22/test/resolve/main/README.md | |
ulysses-camara | null | null | null | false | 2 | false | ulysses-camara/ulysses-ner-br | 2022-10-25T10:26:07.000Z | null | false | d973e22dbfac5433efd91ba4c5cd4376984fe9e9 | [] | [
"language:pt",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"task_categories:token-classification",
"task_ids:named-entity-recognition"
] | https://huggingface.co/datasets/ulysses-camara/ulysses-ner-br/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- pt
license: []
multilinguality:
- monolingual
pretty_name: UlyssesNER-br
size_categories:
- 10K<n<100K
source_datasets: []
task_categories:
- token-classification
task_ids:
- named-entity-recognition
---
# Dataset Card for UlyssesNER-Br
## Table of Conten... |
Jianxin1111 | null | null | null | false | 3 | false | Jianxin1111/1111 | 2022-05-26T04:56:44.000Z | null | false | cddfc0a29707710e330e280f33f1ec6c04940405 | [] | [
"license:bsl-1.0"
] | https://huggingface.co/datasets/Jianxin1111/1111/resolve/main/README.md | ---
license: bsl-1.0
---
|
taesiri | null | @article{taesiri2022clip,
title={CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning},
author={Taesiri, Mohammad Reza and Macklon, Finlay and Bezemer, Cor-Paul},
journal={arXiv preprint arXiv:2203.11096},
year={2022}
} | A test dataset for GamePhysics | false | 9 | false | taesiri/GamePhysics_Grand_Theft_Auto_V | 2022-05-26T06:00:19.000Z | null | false | bd3505b16a7ae2f39998afa40c0cb80f3e20371c | [] | [] | https://huggingface.co/datasets/taesiri/GamePhysics_Grand_Theft_Auto_V/resolve/main/README.md | ---
annotations_creators:
- no-annotation
languages:
- en
# Dataset Card for GamePhysics_Grand_Theft_Auto_V
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structu... |
mteb | null | null | null | false | 77 | false | mteb/imdb | 2022-09-27T19:14:44.000Z | null | false | 8d743909f834c38949e8323a8a6ce8721ea6c7f4 | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/imdb/resolve/main/README.md | ---
language:
- en
--- |
mteb | null | @misc{oneill2021i,
title={I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews},
author={James O'Neill and Polina Rozenshtein and Ryuichi Kiryo and Motoko Kubota and Danushka Bollegala},
year={2021},
eprint={2104.06893},
... | The dataset contains sentences from Amazon customer reviews (sampled from Amazon product review dataset) annotated for counterfactual detection (CFD) binary classification. Counterfactual statements describe events that did not or cannot take place. Counterfactual statements may be identified as statements of the form ... | false | 192 | false | mteb/amazon_counterfactual | 2022-09-27T19:10:37.000Z | null | false | 2d8a100785abf0ae21420d2a55b0c56e3e1ea996 | [] | [
"arxiv:2104.06893",
"language:de",
"language:en",
"language:ja"
] | https://huggingface.co/datasets/mteb/amazon_counterfactual/resolve/main/README.md | ---
language:
- de
- en
- ja
---
# Amazon Multilingual Counterfactual Dataset
The dataset contains sentences from Amazon customer reviews (sampled from Amazon product review dataset) annotated for counterfactual detection (CFD) binary classification. Counterfactual statements describe events that did not or cannot t... |
Ashe | null | null | null | false | 3 | false | Ashe/ceshi | 2022-05-26T11:40:44.000Z | null | false | 2f01d5be7f9c2965aef51957fcf68b8f8d79c883 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/Ashe/ceshi/resolve/main/README.md | ---
license: afl-3.0
---
|
LTress | null | @inproceedings{mathur20,
doi = {10.1109/icassp40776.2020.9053074},
url = {https://doi.org/10.1109\%2Ficassp40776.2020.9053074},
year = 2020,
month = {may},
publisher = {{IEEE}},
author = {Akhil Mathur and Fahim Kawsar and Nadia Berthouze and Nicholas D. Lane},
title = {Libri-Adapt: a New Speech Dataset for Unsup... | LibriAdapt (For more information refer to the original paper at https://doi.org/10.1109%2Ficassp40776.2020.9053074) | false | 2 | false | LTress/lrl_transfer_hubert | 2022-07-29T16:51:18.000Z | null | false | ddb4732a1c1977ae2015ff516e8258a216cba413 | [] | [] | https://huggingface.co/datasets/LTress/lrl_transfer_hubert/resolve/main/README.md | Libriadapt |
ErenHali | null | null | null | false | 2 | false | ErenHali/disaster_edited | 2022-05-26T13:41:41.000Z | null | false | 791ae7245f0616c61617304e534d5c4728336523 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/ErenHali/disaster_edited/resolve/main/README.md | ---
license: afl-3.0
---
annotations_creators:
- expert-generated
language_creators:
- found
languages:
- en
licenses:
- mit
multilinguality:
- monolingual
paperswithcode_id: acronym-identification
pretty_name: disaster
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- token-classification
ta... |
Yah216 | null | null | null | false | 3 | false | Yah216/APCD_only_meter_data | 2022-05-28T08:00:57.000Z | null | false | 2f5888c3c452b33e431865a6d4461d7ca823375f | [] | [] | https://huggingface.co/datasets/Yah216/APCD_only_meter_data/resolve/main/README.md | We used the APCD dataset cited hereafter for pretraining the model. The dataset has been cleaned and only the main text and the meter columns were kept:
```
@Article{Yousef2019LearningMetersArabicEnglish-arxiv,
author = {Yousef, Waleed A. and Ibrahime, Omar M. and Madbouly, Taha M. and Mahmoud,
... |
merionum | null | null | null | false | 25 | false | merionum/ru_paraphraser | 2022-07-28T15:01:08.000Z | null | false | 43265056790b8f7c59e0139acb4be0a8dad2c8f4 | [] | [
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"language:ru",
"license:mit",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"task_categories:text-class... | https://huggingface.co/datasets/merionum/ru_paraphraser/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
- expert-generated
- machine-generated
language_creators:
- crowdsourced
language:
- ru
license:
- mit
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: ParaPhraser
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-classification
-... |
mteb | null | null | null | false | 88 | false | mteb/toxic_conversations_50k | 2022-09-27T19:14:35.000Z | null | false | edfaf9da55d3dd50d43143d90c1ac476895ae6de | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/toxic_conversations_50k/resolve/main/README.md | ---
language:
- en
---
# Toxic Conversation
This is a version of the [Jigsaw Unintended Bias in Toxicity Classification dataset](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/overview). It contains comments from the Civil Comments platform together with annotations if the comment is toxic... |
yanekyuk | null | null | null | false | 1 | false | yanekyuk/wikikey | 2022-05-26T18:04:23.000Z | null | false | a39da3c3b80a71c2d80a0e8835580b74cd3eaee5 | [] | [
"license:mit"
] | https://huggingface.co/datasets/yanekyuk/wikikey/resolve/main/README.md | ---
license: mit
---
|
mteb | null | null | null | false | 408 | false | mteb/tweet_sentiment_extraction | 2022-09-27T19:14:27.000Z | null | false | 62146448f05be9e52a36b8ee9936447ea787eede | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/tweet_sentiment_extraction/resolve/main/README.md | ---
language:
- en
--- |
coreybrady | null | null | null | false | 3 | false | coreybrady/blackwoods | 2022-05-26T19:27:42.000Z | null | false | 25e57f358b2ccb64cb7d643d732269c677a1407f | [] | [
"license:cc-by-nc-4.0"
] | https://huggingface.co/datasets/coreybrady/blackwoods/resolve/main/README.md | ---
license: cc-by-nc-4.0
---
|
Aniemore | null | null | null | false | 2 | false | Aniemore/REPV | 2022-07-01T16:41:13.000Z | null | false | 303f2ed3d8b3f3915b254a60e9c146b8c4f8402a | [] | [
"annotations_creators:crowdsourced",
"language_creators:expert-generated",
"language_creators:crowdsourced",
"language:ru",
"license:mit",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:audio-classification",
"task_ids:audio-emotion-recognit... | https://huggingface.co/datasets/Aniemore/REPV/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- expert-generated
- crowdsourced
language:
- ru
license:
- mit
multilinguality:
- monolingual
pretty_name: Russian Emotional Phonetic Voices
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- audio-classification
task_ids:
- audio-emot... |
Aniemore | null | null | null | false | 2 | false | Aniemore/REPV-S | 2022-10-25T10:28:15.000Z | null | false | 0f565390b7dc577a92da3bc97b47a02bfb4066b5 | [] | [
"annotations_creators:crowdsourced",
"language_creators:expert-generated",
"language_creators:crowdsourced",
"language:ru",
"license:mit",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:audio-classification",
"task_ids:audio-emotion-recognit... | https://huggingface.co/datasets/Aniemore/REPV-S/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- expert-generated
- crowdsourced
language:
- ru
license:
- mit
multilinguality:
- monolingual
pretty_name: Russian Emotional Phonetic Voices Small
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- audio-classification
task_ids:
- audi... |
ChristophSchuhmann | null | null | null | false | 2 | false | ChristophSchuhmann/wikiart_with_BLIP_captions | 2022-05-27T19:58:00.000Z | null | false | 1b0fe981f7d560b180d3cf4c4794195f14d99cf8 | [] | [
"license:cc-by-nc-4.0"
] | https://huggingface.co/datasets/ChristophSchuhmann/wikiart_with_BLIP_captions/resolve/main/README.md | ---
license: cc-by-nc-4.0
---
|
mbazaNLP | null | null | null | false | 3 | false | mbazaNLP/kinyarwanda-tts-dataset | 2022-11-04T16:14:49.000Z | null | false | a813f11c4b6174b752b1c103f69ac19918cc2005 | [] | [
"language_creators:Digital Umuganda",
"license:cc-by-4.0",
"size_categories:3K<n<4K",
"size_categories:~=6hours"
] | https://huggingface.co/datasets/mbazaNLP/kinyarwanda-tts-dataset/resolve/main/README.md | ---
language_creators:
- Digital Umuganda
license: cc-by-4.0
size_categories:
- 3K<n<4K
- ~=6hours
---
## Kinyarwanda TTS dataset
The dataset consists of 3992 clips of Kinyarwanda TTS corpus |
sileod | null | @InProceedings{sileodreclm22,
author="Sileo, Damien
and Vossen, Wout
and Raymaekers, Robbe",
editor="Hagen, Matthias
and Verberne, Suzan
and Macdonald, Craig
and Seifert, Christin
and Balog, Krisztian
and N{\o}rv{\aa}g, Kjetil
and Setty, Vinay",
title="Zero-Shot Recommendation as Language Modeling",
booktitle="Advances... | Movie recommendation task based on the Movielens dataset | false | 106 | false | sileod/movie_recommendation | 2022-07-19T13:01:05.000Z | null | false | f5a78b1e2eaa83f967fad25b4f561eb453eba6db | [] | [
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"task_categories:multiple-choice",
"task_categories:question-answering",
"task_ids:open-domain-qa",
"... | https://huggingface.co/datasets/sileod/movie_recommendation/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: 'movie_recommendation '
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- multiple-choice
- question-answering
task_ids:
- open-domain-qa
-... |
sileod | null | @inproceedings{sileo-etal-2019-mining,
title = "Mining Discourse Markers for Unsupervised Sentence Representation Learning",
author = "Sileo, Damien and
Van De Cruys, Tim and
Pradel, Camille and
Muller, Philippe",
booktitle = "Proceedings of the 2019 Conference of the North {A}merican C... | Discourse marker/connective prediction as multiple choice questions based on the Discovery dataset | false | 18 | false | sileod/discourse_marker_qa | 2022-07-19T13:00:05.000Z | null | false | e34664558b2fe83c83d7886f7623a2d2607cc4db | [] | [
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"task_categories:question-answering",
"task_categories:multiple-choice",
"task_ids:open-domain-qa",
"... | https://huggingface.co/datasets/sileod/discourse_marker_qa/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: 'discourse_marker_qa'
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- question-answering
- multiple-choice
task_ids:
- open-domain-qa
- m... |
blinoff | null | null | null | false | 3 | false | blinoff/medical_institutions_reviews | 2022-10-23T16:51:28.000Z | null | false | 57ed1c1d3e754be42a810973987f8f646cc9d103 | [] | [
"language:ru",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"task_categories:text-classification",
"task_ids:sentiment-classification"
] | https://huggingface.co/datasets/blinoff/medical_institutions_reviews/resolve/main/README.md | ---
language:
- ru
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
task_categories:
- text-classification
task_ids:
- sentiment-classification
---
### Dataset Summary
The dataset contains user reviews about medical institutions.
In total it contains 12,036 reviews. A review tagged with the <em>general</em... |
Yah216 | null | null | null | false | 3 | false | Yah216/APCD-Poem_Rawiy_detection | 2022-10-25T10:28:52.000Z | null | false | cee72850f435666f691a16513734961e9ca0845e | [] | [
"language:ar",
"task_categories:text-classification"
] | https://huggingface.co/datasets/Yah216/APCD-Poem_Rawiy_detection/resolve/main/README.md | ---
language:
- ar
task_categories:
- text-classification
---
# AutoTrain Dataset for project: Poem_Rawiy_detection
## Dataset Descritpion
We used the APCD dataset cited hereafter for pretraining the model. The dataset has been cleaned and only the main text and the Qafiyah columns were kept:
```
@Article{Yousef2019L... |
Yah216 | null | null | null | false | 3 | false | Yah216/Poem_APCD_text_only | 2022-05-28T08:00:27.000Z | null | false | 6dbc19c850ac0c6ff6050b61eedb586a5fd36ad4 | [] | [] | https://huggingface.co/datasets/Yah216/Poem_APCD_text_only/resolve/main/README.md | We used the APCD dataset cited hereafter for pretraining the model. The dataset has been cleaned and only the main text column was kept:
```
@Article{Yousef2019LearningMetersArabicEnglish-arxiv,
author = {Yousef, Waleed A. and Ibrahime, Omar M. and Madbouly, Taha M. and Mahmoud,
Moustafa A.},
... |
dipesh | null | null | null | false | 2 | false | dipesh/Intent-Classification-Commands | 2022-06-05T12:13:51.000Z | null | false | 99290aa1da03711506148f6e73971aec43d4dfbe | [] | [] | https://huggingface.co/datasets/dipesh/Intent-Classification-Commands/resolve/main/README.md | # Dataset Summary
This is the dataset for intent classification. It has 16 classes. All classes have an equal number of examples after upsampling the classes with fewer examples.
## Data Instances-
```
DatasetDict({
train: Dataset({
features: ['text', 'intent', 'labels'],
num_rows: 11156
})
... |
jonas | null | null | null | false | 1 | false | jonas/undp_jobs_raw | 2022-05-28T11:09:38.000Z | null | false | 354ca21b2e9f56a49e62f936fb0f41c88fd2042f | [] | [
"license:wtfpl"
] | https://huggingface.co/datasets/jonas/undp_jobs_raw/resolve/main/README.md | ---
license: wtfpl
---
|
diversifix | null | null | null | false | 4 | false | diversifix/inclusive_words | 2022-09-04T13:29:26.000Z | null | false | efa172b567cb7b51d9bdf36f97ac0244e1dfb1b1 | [] | [
"language:de",
"license:other"
] | https://huggingface.co/datasets/diversifix/inclusive_words/resolve/main/README.md | ---
language: de
license: other
---
# Inclusive words in German 🏳️🌈 🇩🇪
Pairs of words and phrases in exclusive language and alternative words and phrases in inclusive language.
Inclusivity aims to comprehend all [dimensions of diversity](https://www.charta-der-vielfalt.de/en/understanding-diversity/diversity-di... |
daniel-dona | null | null | null | false | 2 | false | daniel-dona/dani-voice | 2022-06-04T11:02:50.000Z | null | false | 0802da651b0ffff3d772b6c77eb3f4788dede04e | [] | [
"license:cc0-1.0"
] | https://huggingface.co/datasets/daniel-dona/dani-voice/resolve/main/README.md | ---
license: cc0-1.0
---
|
silver | null | @inproceedings{wang2020chinese,
title={A Large-Scale Chinese Short-Text Conversation Dataset},
author={Wang, Yida and Ke, Pei and Zheng, Yinhe and Huang, Kaili and Jiang, Yong and Zhu, Xiaoyan and Huang, Minlie},
booktitle={NLPCC},
year={2020},
url={https://arxiv.org/abs/2008.03946}
} | LCCC: Large-scale Cleaned Chinese Conversation corpus (LCCC) is a large corpus of Chinese conversations.
A rigorous data cleaning pipeline is designed to ensure the quality of the corpus.
This pipeline involves a set of rules and several classifier-based filters.
Noises such as offensive or sensitive words, special sym... | false | 2 | false | silver/lccc | 2022-11-06T04:51:16.000Z | null | false | 5bd582fa28cd7143f2f9c852e08e23089d677c44 | [] | [
"arxiv:2008.03946",
"annotations_creators:other",
"language_creators:other",
"language:zh",
"license:mit",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"task_categories:conversational",
"task_ids:dialogue-generation",
"tags:dialogue-response-retrieval"... | https://huggingface.co/datasets/silver/lccc/resolve/main/README.md | ---
annotations_creators:
- other
language_creators:
- other
language:
- zh
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- conversational
task_ids:
- dialogue-generation
pretty_name: lccc
tags:
- dialogue-response-retrieval
---
# Dataset Card ... |
silver | null | @inproceedings{zheng2022MMChat,
author = {Zheng, Yinhe and Chen, Guanyi and Liu, Xin and Sun, Jian},
title = {MMChat: Multi-Modal Chat Dataset on Social Media},
booktitle = {Proceedings of The 13th Language Resources and Evaluation Conference},
year = {2022},
publisher = {European Language Resources Associa... | MMChat is a large-scale dialogue dataset that contains image-grounded dialogues in Chinese.
Each dialogue in MMChat is associated with one or more images (maximum 9 images per dialogue).
We design various strategies to ensure the quality of the dialogues in MMChat. | false | 6 | false | silver/mmchat | 2022-07-10T13:04:36.000Z | mmchat-multi-modal-chat-dataset-on-social | false | ecff4b19adb1f4161ea79ad947aaf9089217c34b | [] | [
"arxiv:2108.07154",
"arxiv:2008.03946",
"annotations_creators:no-annotation",
"language_creators:found",
"language:zh",
"license:other",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"task_categories:conversational",
"task_ids:dialogue-generation"
] | https://huggingface.co/datasets/silver/mmchat/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- zh
license:
- other
multilinguality:
- monolingual
paperswithcode_id: mmchat-multi-modal-chat-dataset-on-social
pretty_name: "MMChat: Multi-Modal Chat Dataset on Social Media"
size_categories:
- 10M<n<100M
source_datasets:
- original
task_... |
silver | null | @article{zheng2019personalized,
title = {Personalized dialogue generation with diversified traits},
author = {Zheng, Yinhe and Chen, Guanyi and Huang, Minlie and Liu, Song and Zhu, Xuan},
journal = {arXiv preprint arXiv:1901.09672},
year = {2019}
}
@inproceedings{zheng2020pre,
title = {A pre-traini... | The PersonalDialog dataset is a large-scale multi-turn Chinese dialogue dataset containing various traits from a large number of speakers.
We are releasing about 5M sessions of carefully filtered dialogues.
Each utterance in PersonalDialog is associated with a speaker marked with traits like Gender, Location, Interest ... | false | 16 | false | silver/personal_dialog | 2022-07-10T13:05:21.000Z | personaldialog | false | b4c2d1336775fd85839e4e81921dd95d23019ac1 | [] | [
"arxiv:1901.09672",
"annotations_creators:no-annotation",
"language_creators:found",
"language:zh",
"license:other",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"task_categories:conversational",
"task_ids:dialogue-generation"
] | https://huggingface.co/datasets/silver/personal_dialog/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- zh
license:
- other
multilinguality:
- monolingual
paperswithcode_id: personaldialog
pretty_name: "PersonalDialog"
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- conversational
task_ids:
- dialogue-generation
... |
GEM | null | @article{wang2022squality,
title={{SQ}u{ALITY}: Building a Long-Document Summarization Dataset the Hard Way},
author={Wang, Alex and Pang, Richard Yuanzhe and Chen, Angelica and Phang, Jason and Bowman, Samuel R.},
journal={arXiv preprint 2205.11465},
year={2022}
} | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | false | 2 | false | GEM/squality | 2022-10-25T12:58:23.000Z | null | false | fe55e9af6a900e30cc95a2fb679ab92ea79dfc82 | [] | [
"arxiv:2205.11465",
"arxiv:2112.07637",
"arxiv:2104.05938",
"annotations_creators:crowd-sourced",
"language_creators:unknown",
"language:en",
"license:cc-by-4.0",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"task_categories:summarization"
] | https://huggingface.co/datasets/GEM/squality/resolve/main/README.md | ---
annotations_creators:
- crowd-sourced
language_creators:
- unknown
language:
- en
license:
- cc-by-4.0
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- summarization
task_ids: []
pretty_name: squality
---
# Dataset Card for GEM/squality
## Dataset Description
-... |
cat-state | null | null | null | false | 1 | false | cat-state/mscoco-1st-caption | 2022-05-29T20:30:35.000Z | null | false | b06eae243263621bd3424e246247a460d81a42ee | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/cat-state/mscoco-1st-caption/resolve/main/README.md | ---
license: cc-by-4.0
---
To reproduce, run `pip install -r requirements.txt` and `download.sh`.
|
eabayed | null | null | null | false | 2 | false | eabayed/EmiratiDialictShowsAudioTranscription | 2022-05-30T10:41:58.000Z | null | false | 2392b20943d927b51ca9d9f7a0a6bc1824437be3 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/eabayed/EmiratiDialictShowsAudioTranscription/resolve/main/README.md | ---
license: afl-3.0
---
This dataset contains two files: a zipped file with segmented audio files from Emirati TV shows, podcasts, or YouTube channels, and a tsv file containing the transcription of the zipped audio files.
The purpose of the dataset is to act as a benchmark for Automatic Speech Recognition models that... |
Wangchunshu | null | null | null | false | 2 | false | Wangchunshu/VLUE | 2022-05-30T11:13:06.000Z | null | false | 30a16e5d98a57b8975aca102964ccdae23cc9fe6 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/Wangchunshu/VLUE/resolve/main/README.md | ---
license: afl-3.0
---
|
juletxara | null | @article{Artetxe:etal:2019,
author = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},
title = {On the cross-lingual transferability of monolingual representations},
journal = {CoRR},
volume = {abs/1910.11856},
year = {2019},
archivePrefix = {arXiv},
eprin... | XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering
performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set
of SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translat... | false | 26 | false | juletxara/xquad_xtreme | 2022-10-12T08:43:41.000Z | xquad | false | 3b885e726812668096a44492a7dc506c4eb57aa9 | [] | [
"arxiv:1910.11856",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:en",
"language:es",
"language:de",
"language:el",
"language:hi",
"language:th",
"language:ru",
"language:tr",
"language:ar",
"language:vi",
"language:zh",
"language:ro",
"licens... | https://huggingface.co/datasets/juletxara/xquad_xtreme/resolve/main/README.md | ---
pretty_name: XQuAD-XTREME
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
- es
- de
- el
- hi
- th
- ru
- tr
- ar
- vi
- zh
- ro
license:
- cc-by-sa-4.0
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets:
- extended|squad
task_categories:
- quest... |
Lehrig | null | @misc{kaggle-10-monkey-species,
title={Kaggle: 10 Monkey Species},
howpublished={\\url{https://www.kaggle.com/datasets/slothkong/10-monkey-species}},
note = {Accessed: 2022-05-30},
} | This dataset is intended as a test case for fine-grain classification tasks (10 different kinds of monkey species). The dataset consists of almost 1400 JPEG images grouped into two splits - training and validation. Each split contains 10 categories labeled as n0~n9, each corresponding a species from [Wikipedia's monkey... | false | 105 | false | Lehrig/Monkey-Species-Collection | 2022-05-30T12:33:12.000Z | null | false | dd3f3c25a869b077e5eac0ef0917ce7c33e45435 | [] | [] | https://huggingface.co/datasets/Lehrig/Monkey-Species-Collection/resolve/main/README.md | annotations_creators:
- expert-generated
language_creators:
- expert-generated
languages: []
licenses:
- cc0-1.0
multilinguality: []
pretty_name: Monkey-Species-Collection
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- image-classification
task_ids:
- multi-class-image-classification
# Data... |
anton-l | null | null | null | false | 3 | false | anton-l/earnings21 | 2022-05-30T13:06:31.000Z | null | false | 535ef95a9bd490316fcfc96ddf8b2730b3f3859c | [] | [
"license:cc-by-sa-4.0"
] | https://huggingface.co/datasets/anton-l/earnings21/resolve/main/README.md | ---
license: cc-by-sa-4.0
---
|
DFKI-SLT | null | @misc{merity2016pointer,
title={Pointer Sentinel Mixture Models},
author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},
year={2016},
eprint={1609.07843},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
@inproceedings{nguyen2021trankit,
title={Trankit: ... | The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified
Good and Featured articles on Wikipedia. Dependency Relations, POS, NER tags are marked with trankit and
entities are linked with entity-fishing.
The dataset is available under the Creative Commons A... | false | 2 | false | DFKI-SLT/wikitext_linked | 2022-07-04T06:09:56.000Z | null | false | 84c911c0541875191a4e87f16141cbd6cc99221d | [] | [
"arxiv:1609.07843",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"language:en",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:extended|wikitext",
"task_categories:fill-mask",
"task_categories:token-classifica... | https://huggingface.co/datasets/DFKI-SLT/wikitext_linked/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: wikitext_linked
size_categories:
- 1M<n<10M
source_datasets:
- extended|wikitext
task_categories:
- fill-mask
- token-classification
- text-classificati... |
hongdijk | null | null | null | false | 1 | false | hongdijk/kluekornlu | 2022-05-30T14:41:43.000Z | null | false | 7c65088d9d3b2d9b65adde3197c9cc537f2a9a99 | [] | [
"license:other"
] | https://huggingface.co/datasets/hongdijk/kluekornlu/resolve/main/README.md | ---
license: other
---
|
hongdijk | null | null | null | false | 1 | false | hongdijk/AUGAUG | 2022-06-30T07:52:01.000Z | null | false | 9150a813a83d417f44d3bcd77423856c54752ae0 | [] | [
"license:other"
] | https://huggingface.co/datasets/hongdijk/AUGAUG/resolve/main/README.md | ---
license: other
---
|
mteb | null | null | null | false | 75 | false | mteb/mind_small | 2022-08-04T23:00:59.000Z | null | false | 3bdac13927fdc888b903db93b2ffdbd90b295a69 | [] | [] | https://huggingface.co/datasets/mteb/mind_small/resolve/main/README.md | The `test` split is the `validation` split of [MIND](https://msnews.github.io/). Labels for the original `test` split are unavailable.
Thus, we renamed it to test for consistency in the MTEB benchmark. |
yananchen | null | null | null | false | 1 | false | yananchen/few_nerd_seq2seq | 2022-05-30T19:24:56.000Z | null | false | 5a56a2ba35f82f56859c694b99d245c5aec711e3 | [] | [] | https://huggingface.co/datasets/yananchen/few_nerd_seq2seq/resolve/main/README.md | few_nerd few-shot NER dataset in seq2seq format |
mteb | null | \ | SemEval 2022 Task 8: Multilingual News Article Similarity | false | 933 | false | mteb/sts22-crosslingual-sts | 2022-09-27T19:10:13.000Z | null | false | 2de6ce8c1921b71a755b262c6b57fef195dd7906 | [] | [
"language:ar",
"language:de",
"language:en",
"language:es",
"language:fr",
"language:it",
"language:pl",
"language:ru",
"language:tr",
"language:zh"
] | https://huggingface.co/datasets/mteb/sts22-crosslingual-sts/resolve/main/README.md | ---
language:
- ar
- de
- en
- es
- fr
- it
- pl
- ru
- tr
- zh
---
Scores in this dataset have been inverted to be from least to most similar!
The scores in the original STS22 task were from most to least similar. |
prajdabre | null | Not Yet | This is the MorisienMT dataset for Muritian Creole Machine translation, English-Creole and French-Creole machine translation to be specific. See readme/datacard for details. | false | 1 | false | prajdabre/MorisienMT | 2022-06-02T01:25:14.000Z | null | false | 66c76eaf5e33b39a41c3d4c757eee3cf23b52ce5 | [] | [
"license:cc"
] | https://huggingface.co/datasets/prajdabre/MorisienMT/resolve/main/README.md | ---
license: cc
---
MorisienMT is a dataset for Mauritian Creole Machine Translation.
This dataset consists of training, development and test set splits for English--Creole as well as French--Creole translation.
The data comes from a variety of sources and hence can be considered as belonging to the general domain.
... |
declare-lab | null | null | null | false | 1 | false | declare-lab/cicero | 2022-05-31T04:30:37.000Z | null | false | 257802eb1f65c3eeeaec0a8b4dab2dd9c3f88d44 | [] | [
"arxiv:2203.13926",
"arxiv:1710.03957",
"arxiv:1902.00164",
"arxiv:2004.04494",
"license:mit"
] | https://huggingface.co/datasets/declare-lab/cicero/resolve/main/README.md | ---
license: mit
---
# Dataset Card for CICERO
## Description
- **Homepage:** https://declare-lab.net/CICERO/
- **Repository:** https://github.com/declare-lab/CICERO
- **Paper:** https://aclanthology.org/2022.acl-long.344/
- **arXiv:** https://arxiv.org/abs/2203.13926
### Summary
CICERO is a new dataset for dialog... |
zdreiosis | null | null | null | false | 1 | false | zdreiosis/ffa_grab_1 | 2022-05-31T06:11:10.000Z | null | false | f4eec94d6457dd06128b42f452fa4177e6de51d7 | [] | [
"license:other"
] | https://huggingface.co/datasets/zdreiosis/ffa_grab_1/resolve/main/README.md | ---
license: other
---
|
ibm | null | null | null | false | 4 | false | ibm/vira-intents | 2022-06-01T07:39:11.000Z | null | false | 1849a51f3c614bb47c428419968dbf63f6a9e949 | [] | [] | https://huggingface.co/datasets/ibm/vira-intents/resolve/main/README.md | The COVID-19 Vaccine Intent Expressions dataset contains 7,990 varying expressions for common questions about COVID-19 vaccines.
We collaborated with a team at Johns Hopkins University to curate a list 181 such common questions.
We then showed annotators a question from the list and asked them to express it in their ... |
null | null | @article{fanelli_IJCV,
author = {Fanelli, Gabriele and Dantone, Matthias and Gall, Juergen and Fossati, Andrea and Van Gool, Luc},
title = {Random Forests for Real Time 3D Face Analysis},
journal = {Int. J. Comput. Vision},
year = {2013},
month = {February},
volume = {101},
number = {3},
pages = {437--4... | The Biwi Kinect Head Pose Database is acquired with the Microsoft Kinect sensor, a structured IR light device.It contains 15K images of 20 people with 6 females and 14 males where 4 people were recorded twice. | false | 20 | false | biwi_kinect_head_pose | 2022-11-03T15:51:00.000Z | biwi | false | 5ca35c89a68c682720f9a500a92e3d87e0277e61 | [] | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:other",
"tags:head-pose-estimation"
] | https://huggingface.co/datasets/biwi_kinect_head_pose/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- other
multilinguality:
- monolingual
pretty_name: Biwi Kinect Head Pose Database
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- other
task_ids: []
paperswithcode_id: biwi
tags:
- he... |
blinoff | null | null | null | false | 3 | false | blinoff/restaurants_reviews | 2022-10-23T16:51:03.000Z | null | false | d5410514058b853de0c27f8b0c23839a27a8251e | [] | [
"language:ru",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"task_categories:text-classification",
"task_ids:sentiment-classification"
] | https://huggingface.co/datasets/blinoff/restaurants_reviews/resolve/main/README.md | ---
language:
- ru
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
task_categories:
- text-classification
task_ids:
- sentiment-classification
---
### Dataset Summary
The dataset contains user reviews about restaurants.
In total it contains 47,139 reviews. A review tagged with the <em>general</em> sentimen... |
martinolmos | null | null | null | false | 6 | false | martinolmos/discursos_peron | 2022-05-31T15:33:31.000Z | null | false | e7e6b3b482627fe3da95a3e1dc1b69069a0b74b1 | [] | [
"license:cc-by-sa-4.0"
] | https://huggingface.co/datasets/martinolmos/discursos_peron/resolve/main/README.md | ---
license: cc-by-sa-4.0
---
# Discursos Perón
Discursos completos pronunciados por el ex Presidente Juan Domingo Perón entre 1ro de diciembre de 1943 y el 19 de septiembre de 1955.
Los documentos, con excepción de los correspondientes al año 1949, fueron suministrados por el historiador Enrique de Alzáa, quien lid... |
nferruz | null | null | null | false | 1 | false | nferruz/dataset_fastas | 2022-05-31T21:57:50.000Z | null | false | 816b9613c1728c0ad54cb0d673e045958620a15b | [] | [
"license:mit"
] | https://huggingface.co/datasets/nferruz/dataset_fastas/resolve/main/README.md | ---
license: mit
---
|
arize-ai | null | # @InProceedings{huggingface:dataset,
# title = {A great new dataset},
# author={huggingface, Inc.
# },
# year={2020}
# }
# | This dataset was crafted to be used in our tutorial [Link to the tutorial when
ready]. It consists on product reviews from an e-commerce store. The reviews
are labeled on a scale from 1 to 5 (stars). The training & validation sets are
fully composed by reviews written in english. However, the production set has
some re... | false | 30 | false | arize-ai/ecommerce_reviews_with_language_drift | 2022-07-01T17:26:03.000Z | null | false | fead71299eabef45c1fd2bf914c9c0ea724b6775 | [] | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|imdb",
"task_categories:text-classification",
"task_ids:sentiment-classification"
] | https://huggingface.co/datasets/arize-ai/ecommerce_reviews_with_language_drift/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: sentiment-classification-reviews-with-drift
size_categories:
- 10K<n<100K
source_datasets:
- extended|imdb
task_categories:
- text-classification
task_ids:
- senti... |
OneFly | null | null | null | false | 2 | false | OneFly/NER | 2022-06-01T09:42:49.000Z | null | false | c0cfd00167ef1b1e8df4359ef16a818883df90aa | [] | [] | https://huggingface.co/datasets/OneFly/NER/resolve/main/README.md | annotations_creators:
- found
language_creators:
- found
languages:
- zh
licenses:
- other-my-license
multilinguality:
- monolingual
pretty_name: peopledaily_NER
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition |
null | null | null | The dataset is based on the Hutter Prize (http://prize.hutter1.net) and contains the first 10^8 bytes of English Wikipedia in 2006 in XML | false | 54 | false | enwik8 | 2022-11-03T15:51:01.000Z | null | false | 751abc7ab501471cb754998bec2eeb53785e9eec | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:language-modeling",
"task_ids:masked-l... | https://huggingface.co/datasets/enwik8/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: enwik8
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- fill-mask
- text-generation
task_ids:
- language-modeling
- masked-language-modeling
dataset_... |
dianalogan | null | null | null | false | 5 | false | dianalogan/Marketing-Budget-and-Actual-Sales-Dataset | 2022-10-21T10:12:40.000Z | null | false | 0819ebca68519005bc806c753a0c783fc2c65874 | [] | [
"arxiv:2010.12421",
"annotations_creators:diana_logan",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"source_datasets:other-generated-datasets",
"task_ids:intent-classification",
"task_ids:multi-class-classification",
"task_ids:sentiment-classification",
"configs:emoji",
"... | https://huggingface.co/datasets/dianalogan/Marketing-Budget-and-Actual-Sales-Dataset/resolve/main/README.md | ---
annotations_creators:
- diana_logan
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
source_datasets:
- other-generated-datasets
task_categories:
- text
- linear-regression
task_ids:
- intent-classification
- multi-class-classification
- sentiment-classification
train-eval-index:
- config: emotio... |
Nurseiit | null | @inproceedings{larson-etal-2019-evaluation,
title = "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction",
author = "Larson, Stefan and
Mahendran, Anish and
Peper, Joseph J. and
Clarke, Christopher and
Lee, Andrew and
Hill, Parker and
Kummerf... | This dataset is for evaluating the performance of intent classification systems in the
presence of "out-of-scope" queries. By "out-of-scope", we mean queries that do not fall
into any of the system-supported intent classes. Most datasets include only data that is
"in-scope". Our dataset includes both in... | false | 1 | false | Nurseiit/nedzhi | 2022-06-02T07:38:08.000Z | null | false | 7827bb4e407d0c2b76894db01777f1069d3afd05 | [] | [
"license:agpl-3.0"
] | https://huggingface.co/datasets/Nurseiit/nedzhi/resolve/main/README.md | ---
license: agpl-3.0
---
|
LeboNLP | null | null | null | false | 1 | false | LeboNLP/toxic-natural-utterances | 2022-06-02T15:59:44.000Z | null | false | e2ab9b12bf8fb32bd49c4092ce3bf80269147b1d | [] | [] | https://huggingface.co/datasets/LeboNLP/toxic-natural-utterances/resolve/main/README.md | |
lmqg | null | @inproceedings{ushio-etal-2022-generative,
title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
author = "Ushio, Asahi and
Alva-Manchego, Fernando and
Camacho-Collados, Jose",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Nat... | [SQuAD Shifts](https://modestyachts.github.io/squadshifts-website/index.html) dataset for question generation (QG) task. | false | 8 | false | lmqg/qg_squadshifts | 2022-11-05T03:06:37.000Z | null | false | c3841e67a9ce7ee212802c0776ecc1674a84b221 | [] | [
"arxiv:2210.03992",
"license:cc-by-4.0",
"language:en",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:subjqa",
"task_categories:text-generation",
"task_ids:language-modeling",
"tags:question-generation"
] | https://huggingface.co/datasets/lmqg/qg_squadshifts/resolve/main/README.md | ---
license: cc-by-4.0
pretty_name: SubjQA for question generation
language: en
multilinguality: monolingual
size_categories: 10K<n<100K
source_datasets: subjqa
task_categories:
- text-generation
task_ids:
- language-modeling
tags:
- question-generation
---
# Dataset Card for "lmqg/qg_squadshifts"
## Dataset Descript... |
benwri | null | null | null | false | 1 | false | benwri/GaryOut | 2022-06-02T21:24:22.000Z | null | false | 43370528cab140745cd31f19cbcebe0be7733799 | [] | [] | https://huggingface.co/datasets/benwri/GaryOut/resolve/main/README.md | import sagemaker
from sagemaker.huggingface import HuggingFace
# gets role for executing training job
role = sagemaker.get_execution_role()
hyperparameters = {
'model_name_or_path':'etmckinley/BERFALTER',
'output_dir':'/opt/ml/model'
# add your remaining hyperparameters
# more info here https://github.com/huggingf... |
lmqg | null | @inproceedings{ushio-etal-2022-generative,
title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
author = "Ushio, Asahi and
Alva-Manchego, Fernando and
Camacho-Collados, Jose",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Nat... | [SQuAD-es](https://huggingface.co/datasets/squad_es) dataset for question generation (QG) task. | false | 1 | false | lmqg/qg_esquad | 2022-11-05T03:02:13.000Z | null | false | 6a107c0ff4fed5b6e133a1de632653046f3eb33f | [] | [
"arxiv:2210.03992",
"license:cc-by-4.0",
"language:es",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:squad_es",
"task_categories:text-generation",
"task_ids:language-modeling",
"tags:question-generation"
] | https://huggingface.co/datasets/lmqg/qg_esquad/resolve/main/README.md | ---
license: cc-by-4.0
pretty_name: SQuAD-es for question generation
language: es
multilinguality: monolingual
size_categories: 10K<n<100K
source_datasets: squad_es
task_categories:
- text-generation
task_ids:
- language-modeling
tags:
- question-generation
---
# Dataset Card for "lmqg/qg_esquad"
## Dataset Descripti... |
lmqg | null | @inproceedings{ushio-etal-2022-generative,
title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
author = "Ushio, Asahi and
Alva-Manchego, Fernando and
Camacho-Collados, Jose",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Nat... | [KorQuAD](https://huggingface.co/datasets/squad_kor_v1) dataset for question generation (QG) task. | false | 1 | false | lmqg/qg_koquad | 2022-11-05T03:02:52.000Z | null | false | da162ea86cecb62b289096d2699c9dda7a028912 | [] | [
"arxiv:2210.03992",
"license:cc-by-4.0",
"language:ko",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:squad_es",
"task_categories:text-generation",
"task_ids:language-modeling",
"tags:question-generation"
] | https://huggingface.co/datasets/lmqg/qg_koquad/resolve/main/README.md | ---
license: cc-by-4.0
pretty_name: KorQuAD for question generation
language: ko
multilinguality: monolingual
size_categories: 10K<n<100K
source_datasets: squad_es
task_categories:
- text-generation
task_ids:
- language-modeling
tags:
- question-generation
---
# Dataset Card for "lmqg/qg_korquad"
## Dataset Descripti... |
lmqg | null | @inproceedings{ushio-etal-2022-generative,
title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
author = "Ushio, Asahi and
Alva-Manchego, Fernando and
Camacho-Collados, Jose",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Nat... | [SberSQuAD](https://huggingface.co/datasets/sberquad) dataset for question generation (QG) task. | false | 1 | false | lmqg/qg_ruquad | 2022-11-05T03:03:30.000Z | null | false | 9984d19fb3d3947d235189aa3343ac740099d98f | [] | [
"arxiv:2210.03992",
"license:cc-by-4.0",
"language:ru",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:deepset/germanquad",
"task_categories:text-generation",
"task_ids:language-modeling",
"tags:question-generation"
] | https://huggingface.co/datasets/lmqg/qg_ruquad/resolve/main/README.md | ---
license: cc-by-4.0
pretty_name: SberQuAD for question generation
language: ru
multilinguality: monolingual
size_categories: 10K<n<100K
source_datasets: deepset/germanquad
task_categories:
- text-generation
task_ids:
- language-modeling
tags:
- question-generation
---
# Dataset Card for "lmqg/qg_ruquad"
## Datase... |
lmqg | null | @inproceedings{ushio-etal-2022-generative,
title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
author = "Ushio, Asahi and
Alva-Manchego, Fernando and
Camacho-Collados, Jose",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Nat... | [SQuAD-it](https://huggingface.co/datasets/squad_it) dataset for question generation (QG) task. | false | 1 | false | lmqg/qg_itquad | 2022-11-05T03:03:13.000Z | null | false | 3ec72eecebae8fac94ef19df59242af6c43b08db | [] | [
"arxiv:2210.03992",
"license:cc-by-4.0",
"language:it",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:squad_es",
"task_categories:text-generation",
"task_ids:language-modeling",
"tags:question-generation"
] | https://huggingface.co/datasets/lmqg/qg_itquad/resolve/main/README.md | ---
license: cc-by-4.0
pretty_name: SQuAD-it for question generation
language: it
multilinguality: monolingual
size_categories: 10K<n<100K
source_datasets: squad_es
task_categories:
- text-generation
task_ids:
- language-modeling
tags:
- question-generation
---
# Dataset Card for "lmqg/qg_itquad"
## Dataset Descripti... |
lmqg | null | @inproceedings{ushio-etal-2022-generative,
title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
author = "Ushio, Asahi and
Alva-Manchego, Fernando and
Camacho-Collados, Jose",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Nat... | [GermanSQuAD](https://huggingface.co/datasets/deepset/germanquad) dataset for question generation (QG) task. | false | 1 | false | lmqg/qg_dequad | 2022-11-05T03:03:59.000Z | null | false | 7cf783a71c842cf8c4d122b997bca2b6f504a55d | [] | [
"arxiv:2210.03992",
"license:cc-by-4.0",
"language:de",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:deepset/germanquad",
"task_categories:text-generation",
"task_ids:language-modeling",
"tags:question-generation"
] | https://huggingface.co/datasets/lmqg/qg_dequad/resolve/main/README.md | ---
license: cc-by-4.0
pretty_name: GermanQuAD for question generation
language: de
multilinguality: monolingual
size_categories: 10K<n<100K
source_datasets: deepset/germanquad
task_categories:
- text-generation
task_ids:
- language-modeling
tags:
- question-generation
---
# Dataset Card for "lmqg/qg_dequad"
## Datas... |
juanastudillo | null | null | null | false | 5 | false | juanastudillo/datos_caudal | 2022-06-03T00:34:04.000Z | null | false | 210f2fccde426601f9e4f1f7b9580a3ccd108965 | [] | [
"license:mit"
] | https://huggingface.co/datasets/juanastudillo/datos_caudal/resolve/main/README.md | ---
license: mit
---
|
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