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class | downloads float64 1 1M ⌀ | gated bool 2
classes | id stringlengths 2 108 | lastModified stringlengths 24 24 | paperswithcode_id stringlengths 2 45 ⌀ | private bool 2
classes | sha stringlengths 40 40 | siblings list | tags list | readme_url stringlengths 57 163 | readme stringlengths 0 977k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
sc2qa | null | @article{zhou2021generating,
author = {Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri},
title = "{Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning}",
conference = {The 2021 Conference on Empirical Methods in Natural Language Processi... | \ | false | 1 | false | sc2qa/sc2q_commoncrawl_large | 2022-03-30T18:34:11.000Z | null | false | 0d9e409f4d7d4b3d14e05c5470fdb89ab1520cca | [] | [
"arxiv:2109.04689"
] | https://huggingface.co/datasets/sc2qa/sc2q_commoncrawl_large/resolve/main/README.md | For details, please refer to the following links.
Github repo: https://github.com/amazon-research/SC2QA-DRIL
Paper: [Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning](https://arxiv.org/pdf/2109.04689.pdf) |
sc2qa | null | @article{zhou2021generating,
author = {Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri},
title = "{Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning}",
conference = {The 2021 Conference on Empirical Methods in Natural Language Processi... | \ | false | 1 | false | sc2qa/sc2qa_commoncrawl | 2022-03-30T18:34:27.000Z | null | false | e3428b7136488e54a1a3ea6c9390f4d4c1267179 | [] | [
"arxiv:2109.04689"
] | https://huggingface.co/datasets/sc2qa/sc2qa_commoncrawl/resolve/main/README.md | For details, please refer to the following links.
Github repo: https://github.com/amazon-research/SC2QA-DRIL
Paper: [Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning](https://arxiv.org/pdf/2109.04689.pdf) |
sdfufygvjh | null | null | null | false | 1 | false | sdfufygvjh/fgghuviugviu | 2021-04-08T22:56:44.000Z | null | false | 1204f20946363d1dca1619042fc675852a26998d | [] | [] | https://huggingface.co/datasets/sdfufygvjh/fgghuviugviu/resolve/main/README.md | |
sebastian-hofstaetter | null | null | null | false | 1 | false | sebastian-hofstaetter/tripclick-training | 2022-07-26T13:16:46.000Z | null | false | 5d2ac65ef982b54e00944e3f6455b8201c149886 | [] | [
"arxiv:2201.00365",
"annotations_creators:other",
"annotations_creators:clicks",
"language_creators:other",
"language:en-US",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:tripclick",
"task_categories:text-retrieval",
"task_ids:document-retrieva... | https://huggingface.co/datasets/sebastian-hofstaetter/tripclick-training/resolve/main/README.md | ---
annotations_creators:
- other
- clicks
language_creators:
- other
language:
- en-US
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: tripclick-training
size_categories:
- unknown
source_datasets: [tripclick]
task_categories:
- text-retrieval
task_ids:
- document-retrieval
---
# TripClick Baselines... |
segments | null | null | null | false | 1,164 | false | segments/sidewalk-semantic | 2022-09-30T14:54:38.000Z | null | false | 8d206e6bca454511ad8030ffb4a25c7e9e7059f6 | [] | [
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"size_categories:n<1K",
"source_datasets:original",
"task_categories:image-segmentation",
"task_ids:semantic-segmentation"
] | https://huggingface.co/datasets/segments/sidewalk-semantic/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
- expert-generated
language_creators:
- expert-generated
language: []
license: []
multilinguality: []
pretty_name: sidewalk-semantic
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- image-segmentation
task_ids:
- semantic-segmentation
---
# Dataset Card fo... |
sentence-transformers | null | null | null | false | 1 | false | sentence-transformers/embedding-training-data | 2021-10-17T17:49:20.000Z | null | false | f0952284922903339c620681b8506e31884c63b4 | [] | [] | https://huggingface.co/datasets/sentence-transformers/embedding-training-data/resolve/main/README.md | # Training Data for Text Embedding Models
This repository contains training files to train text embedding models, e.g. using [sentence-transformers](https://www.SBERT.net).
## Data Format
All files are in a `jsonl.gz` format: Each line contains a JSON-object that represent one training example.
The JSON obj... |
sentence-transformers | null | null | null | false | 23 | false | sentence-transformers/msmarco-hard-negatives | 2022-08-18T16:04:34.000Z | null | false | 094614d3a0d3395455a4f5254033cab1110033a8 | [] | [] | https://huggingface.co/datasets/sentence-transformers/msmarco-hard-negatives/resolve/main/README.md | # MS MARCO Passages Hard Negatives
[MS MARCO](https://microsoft.github.io/msmarco/) is a large scale information retrieval corpus that was created based on real user search queries using Bing search engine.
This dataset repository contains files that are helpful to train bi-encoder models e.g. using [sentence-tra... |
sentence-transformers | null | null | null | false | 1 | false | sentence-transformers/parallel-sentences | 2022-10-19T19:59:59.000Z | null | false | 641817dd485daeeb871a83fc4cbdbeb3c4b05a35 | [] | [] | https://huggingface.co/datasets/sentence-transformers/parallel-sentences/resolve/main/README.md | # Parallel Sentences for 50+ languages
This repository contains parallel sentences (i.e. English + same sentences in other language) for 50+ different languages in a simple tsv.gz format:
```
english_sentences\tsentence_in_other_language
```
Sentences stem from the [OPUS website](https://opus.nlpl.eu/).
The followin... |
sentence-transformers | null | null | null | false | 5 | false | sentence-transformers/reddit-title-body | 2021-10-19T09:20:35.000Z | null | false | 60f9fef73b56b73dfaefeab3729410f3cf9f846d | [] | [] | https://huggingface.co/datasets/sentence-transformers/reddit-title-body/resolve/main/README.md | # Reddit (Title, Body)-Pairs
This dataset contains jsonl-Files about (title, body) pairs from Reddit. Each line is a JSON object of the following format:
```
{'title': 'The title of a thread', 'body': 'The longer body of the thread', 'subreddit': 'subreddit_name'}
```
The 2021 file contains submissions up until inclu... |
seregadgl | null | null | null | false | 1 | false | seregadgl/test_set | 2021-09-13T18:48:12.000Z | null | false | bd7fbf9eaedeba71e8e3749694de5cae722c1f51 | [] | [] | https://huggingface.co/datasets/seregadgl/test_set/resolve/main/README.md | |
severo | null | null | null | false | 1 | false | severo/embellishments | 2022-10-25T09:56:40.000Z | null | false | 98e9d50791bbbd493438122d379c16dc51a74bf8 | [] | [
"annotations_creators:no-annotation",
"license:cc0-1.0",
"size_categories:n<1K",
"source_datasets:original"
] | https://huggingface.co/datasets/severo/embellishments/resolve/main/README.md | ---
annotations_creators:
- no-annotation
license:
- cc0-1.0
size_categories:
- n<1K
source_datasets:
- original
pretty_name: Digitised Books - Images identified as Embellishments. c. 1510 - c. 1900.
JPG
---
# Dataset Card for severo/embellishments
## Dataset Description
- **Homepage:** [Digitised Books - Images i... |
shaina | null | null | null | false | 1 | false | shaina/covid19 | 2022-01-28T21:59:24.000Z | null | false | 95a13b195e2d2a859bdf1c70e0906c8b5259e35a | [] | [] | https://huggingface.co/datasets/shaina/covid19/resolve/main/README.md | |
shanya | null | null | null | false | 1 | false | shanya/website_metadata_c4_toy | 2021-10-04T16:55:11.000Z | null | false | 4dd08ebac7cf221d87d3175fca5d5562d3923c34 | [] | [] | https://huggingface.co/datasets/shanya/website_metadata_c4_toy/resolve/main/README.md | A smaller version (100 samples) of https://huggingface.co/datasets/bs-modeling-metadata/website_metadata_c4 |
sharejing | null | null | null | false | 1 | false | sharejing/BiPaR | 2021-03-31T03:33:00.000Z | null | false | 8051c9bb36a5460415cb4f94b156eeb653c3385e | [] | [
"arxiv:1910.05040"
] | https://huggingface.co/datasets/sharejing/BiPaR/resolve/main/README.md | # BiPaR
> General Description
This repository contains datasets for EMNLP-IJCNLP 2019 paper "BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels" (Yimin Jing, Deyi Xiong and Yan Zhen). BiPaR is an extractive and manually annotated bilingual parallel novel-style machin... |
shibing624 | null | null | 纯文本数据，格式：（sentence1， sentence2， label）。常见中文语义匹配数据集，包含ATEC、BQ、LCQMC、PAWSX、STS-B共5个任务。 | false | 128 | false | shibing624/nli_zh | 2022-10-30T06:30:56.000Z | snli | false | 79fc59f431716692cd8ae024f1b97fe7457a7ca8 | [] | [
"arxiv:1908.11828",
"annotations_creators:shibing624",
"language_creators:shibing624",
"language:zh",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<20M",
"source_datasets:https://github.com/shibing624/text2vec",
"source_datasets:https://github.com/IceFlameWorm/NLP_Datas... | https://huggingface.co/datasets/shibing624/nli_zh/resolve/main/README.md | ---
annotations_creators:
- shibing624
language_creators:
- shibing624
language:
- zh
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<20M
source_datasets:
- https://github.com/shibing624/text2vec
- https://github.com/IceFlameWorm/NLP_Datasets/tree/master/ATEC
- http://icrc.hitsz.edu.cn/inf... |
shibing624 | null | null | 纯文本数据，内容：高质量编程源代码，包括Python，Java，CPP源代码 | false | 61 | false | shibing624/source_code | 2022-10-30T06:30:07.000Z | null | false | 9d62f0ab0d93b3f4b38284ac88b540772e7b61b8 | [] | [
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"license:gfdl",
"multilinguality:monolingual",
"size_categories:100M<n<200M",
"source_datasets:https://github.com/shibing624/code-autocomplete",
"source_datasets:https://github.com/bharathgs/A... | https://huggingface.co/datasets/shibing624/source_code/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
- gfdl
multilinguality:
- monolingual
size_categories:
- 100M<n<200M
source_datasets:
- https://github.com/shibing624/code-autocomplete
- https://github.com/bharathgs/Awesome-pytorch-list
- https://github.com... |
silentzone | null | null | null | false | 1 | false | silentzone/test | 2022-01-24T16:53:52.000Z | null | false | 9c427d0f7a1d2beee822ec67fd3e31b21f414f63 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/silentzone/test/resolve/main/README.md | ---
license: apache-2.0
---
|
softcatala | null | null | null | false | 1 | false | softcatala/Europarl-catalan | 2022-10-24T17:37:43.000Z | null | false | 169b139c0c38afc9942b94198c789b4b9ba8e2dc | [] | [
"annotations_creators:no-annotation",
"language_creators:machine-generated",
"language:ca",
"language:de",
"language:en",
"license:cc-by-4.0",
"multilinguality:translation",
"size_categories:1M<n<10M",
"source_datasets:extended|europarl_bilingual",
"task_categories:translation"
] | https://huggingface.co/datasets/softcatala/Europarl-catalan/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- machine-generated
language:
- ca
- de
- en
license:
- cc-by-4.0
multilinguality:
- translation
size_categories:
- 1M<n<10M
source_datasets:
- extended|europarl_bilingual
task_categories:
- translation
task_ids: []
pretty_name: Catalan-English and Catalan-Ge... |
softcatala | null | null | null | false | 2 | false | softcatala/Softcatala-Web-Texts-Dataset | 2022-10-22T15:23:26.000Z | null | false | 2d74151de246506b7014792e4bc9cec2a3df968e | [] | [
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"language:ca",
"license:cc-by-sa-4.0",
"license:cc0-1.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:text-generation",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/softcatala/Softcatala-Web-Texts-Dataset/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- 'ca'
license:
- cc-by-sa-4.0
- cc0-1.0
multilinguality:
- monolingual
pretty_name: Softcatalà website content.
size_categories:
- "100K<n<1M"
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-mo... |
softcatala | null | null | null | false | 1 | false | softcatala/Tilde-MODEL-Catalan | 2022-10-24T17:38:21.000Z | null | false | 0f51602f5bdb3884bb1730b4f47f8b0f37eddf6a | [] | [
"language_creators:machine-generated",
"language:ca",
"language:de",
"license:cc-by-4.0",
"multilinguality:translation",
"size_categories:1M<n<10M",
"source_datasets:extended|tilde_model",
"task_categories:text2text-generation",
"task_categories:translation",
"tags:conditional-text-generation"
] | https://huggingface.co/datasets/softcatala/Tilde-MODEL-Catalan/resolve/main/README.md | ---
annotations_creators: []
language_creators:
- machine-generated
language:
- ca
- de
license:
- cc-by-4.0
multilinguality:
- translation
size_categories:
- 1M<n<10M
source_datasets:
- extended|tilde_model
task_categories:
- text2text-generation
- translation
task_ids: []
pretty_name: Catalan-German aligned corpora t... |
softcatala | null | null | null | false | 1 | false | softcatala/ca_text_corpus | 2022-10-24T17:38:51.000Z | null | false | 90ada72ef9df2252797ae8fd4a40e2c071412355 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:ca",
"license:cc0-1.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"task_categories:text-generation",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/softcatala/ca_text_corpus/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- ca
license:
- cc0-1.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: ca-text-corpus
---
# Dataset Card for ca-text-corpu... |
softcatala | null | null | null | false | 1 | false | softcatala/catalan-dictionary | 2022-10-24T17:38:30.000Z | null | false | 585057c3fed0b67a04ee1d6eeae4b3344ef8b587 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:ca",
"license:gpl-2.0",
"license:lgpl-2.1",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"task_categories:text-generation",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/softcatala/catalan-dictionary/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- ca
license:
- gpl-2.0
- lgpl-2.1
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: catalan-dictionary
---
# Dataset Card fo... |
softcatala | null | null | null | false | 1 | false | softcatala/open-source-english-catalan-corpus | 2022-10-24T17:38:59.000Z | null | false | 612ada74b3354d520e4c42e35251bc4ed3686b33 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:ca",
"language:en",
"license:gpl-3.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"task_categories:text-generation",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/softcatala/open-source-english-catalan-corpus/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- ca
- en
license:
- gpl-3.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: open-source-english-catalan-corpus
---
# Datas... |
solomonk | null | null | null | false | 7 | false | solomonk/reddit_mental_health_posts | 2022-01-11T15:40:01.000Z | null | false | 48c23354c088c4273b260a877dafa424e1c6cc95 | [] | [] | https://huggingface.co/datasets/solomonk/reddit_mental_health_posts/resolve/main/README.md | # Reddit posts about mental health
## files
- adhd.csv from r/adhd
- aspergers.csv from r/aspergers
- depression.csv from r/depression
- ocd.csv from r/ocd
- ptsd.csv from r/ptsd
## fields
- author
- body
- created_utc
- id
- num_comments
- score
- subreddit
- title
- upvote_ratio
- url
for more details about thes... |
spacemanidol | null | null | null | false | 1 | false | spacemanidol/msmarco_passage_ranking | 2021-04-09T19:33:13.000Z | null | false | 0e4f8bf4a8a6fefe60c5aa90547b7ebec1652e43 | [] | [] | https://huggingface.co/datasets/spacemanidol/msmarco_passage_ranking/resolve/main/README.md | # Dataset Summary
Starting with a paper released at NIPS 2016, MS MARCO is a collection of datasets focused on deep learning in search.
# Dataset Creation
## Source Data
More Information Needed
## Annotations
More Information Needed
## Personal and Sensitive Information
More Information Needed
# Considerations fo... |
sshleifer | null | @article{Narayan2018DontGM,
title={Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization},
author={Shashi Narayan and Shay B. Cohen and Mirella Lapata},
journal={ArXiv},
year={2018},
volume={abs/1808.08745}
} | Extreme Summarization (XSum) Dataset.
There are two features:
- document: Input news article.
- summary: One sentence summary of the article. | false | 1 | false | sshleifer/pseudo_bart_xsum | 2021-02-23T13:57:51.000Z | null | false | c94d921b402c05dc4ab1cb2bdcfd3841902d2d97 | [] | [] | https://huggingface.co/datasets/sshleifer/pseudo_bart_xsum/resolve/main/README.md | ## Extreme Summarization (XSum) Dataset.
There are two features:
- document: Input news article.
- summary: One sentence summary of the article.
### Citation
```bibtex
@article{Narayan2018DontGM,
title={Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summariz... |
stas | null | @article{2019t5,
author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
journal = {arXiv e-prints},
year = {2... | This is a small subset representing the first 10K records of the original C4 dataset, "en" subset - created for testing. The records were extracted after having been shuffled.
The full 1TB+ dataset is at https://huggingface.co/datasets/c4. | false | 262 | false | stas/c4-en-10k | 2022-10-19T21:40:11.000Z | null | false | 641dc93c008f3290112ae324a754aaf7e77dee15 | [] | [
"language:en",
"license:apache-2.0"
] | https://huggingface.co/datasets/stas/c4-en-10k/resolve/main/README.md | ---
language:
- en
license: apache-2.0
---
# C4 EN 10K for testing
This is a small subset representing the first 10K records of the original C4 dataset, "en" subset - created for testing. The records were extracted after having been shuffled.
The full 1TB+ dataset is at https://huggingface.co/datasets/c4.
```
$ p... |
stas | null | @misc{Gokaslan2019OpenWeb,
title={OpenWebText Corpus},
author={Aaron Gokaslan*, Vanya Cohen*, Ellie Pavlick, Stefanie Tellex},
howpublished{\\url{http://Skylion007.github.io/OpenWebTextCorpus}},
year={2019}
} | An open-source replication of the WebText dataset from OpenAI.
This is a small subset representing the first 10K records from the original dataset - created for testing.
The full 8M-record dataset is at https://huggingface.co/datasets/openwebtext | false | 901 | false | stas/openwebtext-10k | 2021-09-15T00:18:50.000Z | null | false | 152771d7ae284673c3ad7ffdd9b3afc2741f1d00 | [] | [] | https://huggingface.co/datasets/stas/openwebtext-10k/resolve/main/README.md | 10K slice of OpenWebText - An open-source replication of the WebText dataset from OpenAI.
This is a small subset representing the first 10K records from the original dataset - created for testing.
The full 8M-record dataset is [here](https://huggingface.co/datasets/openwebtext).
```
$ python -c "from datasets import... |
stas | null | @inproceedings{OrtizSuarezSagotRomary2019,
author = {Pedro Javier {Ortiz Su{'a}rez} and Benoit Sagot and Laurent Romary},
title = {Asynchronous pipelines for processing huge corpora on medium to low resource infrastructures},
series = {Proceedings of the Workshop on Challenges in the Management of Large Co... | This is a small subset representing 10K records from the original OSCAR dataset, "unshuffled_deduplicated_en" subset - created for testing. The records were extracted after having been shuffled.
The full 1TB+ dataset is at https://huggingface.co/datasets/oscar. | false | 34 | false | stas/oscar-en-10k | 2022-10-19T21:40:14.000Z | null | false | 07713bf01c6e590a5d80b2c246de207d47724482 | [] | [
"language:en",
"license:apache-2.0"
] | https://huggingface.co/datasets/stas/oscar-en-10k/resolve/main/README.md | ---
language:
- en
license: apache-2.0
---
# OSCAR EN 10K for testing
This is a small subset representing the 10K records from the original OSCAR dataset, "unshuffled_deduplicated_en" subset - created for testing. The records were extracted after having been shuffled.
The full 1TB+ dataset is at https://huggingfac... |
stas | null | @InProceedings{huggingface:dataset,
title = {WMT14 English-German Translation Data with further preprocessing},
authors={},
year={2016}
} | null | false | 97 | false | stas/wmt14-en-de-pre-processed | 2021-02-16T04:41:04.000Z | null | false | 7617090058992d01345cbead219b800acd77d3ac | [] | [] | https://huggingface.co/datasets/stas/wmt14-en-de-pre-processed/resolve/main/README.md | # WMT14 English-German Translation Data w/ further preprocessing
The original pre-processing script is [here](https://github.com/pytorch/fairseq/blob/master/examples/translation/prepare-wmt14en2de.sh).
This pre-processed dataset was created by running:
```
git clone https://github.com/pytorch/fairseq
cd fairseq
cd e... |
stas | null | @InProceedings{huggingface:dataset,
title = {WMT16 English-Romanian Translation Data with further preprocessing},
authors={},
year={2016}
} | null | false | 1 | false | stas/wmt16-en-ro-pre-processed | 2021-02-16T03:58:06.000Z | null | false | 6dfdf691a1b18d8ebc206897b5cac2d7e4bcda3c | [] | [] | https://huggingface.co/datasets/stas/wmt16-en-ro-pre-processed/resolve/main/README.md | # WMT16 English-Romanian Translation Data w/ further preprocessing
The original instructions are [here](https://github.com/rsennrich/wmt16-scripts/tree/master/sample).
This pre-processed dataset was created by running:
```
git clone https://github.com/rsennrich/wmt16-scripts
cd wmt16-scripts
cd sample
./download_fil... |
stevhliu | null | null | null | false | 13 | false | stevhliu/demo | 2022-10-24T18:02:42.000Z | null | false | 167bea6bb04170c41a7ab6b91e13fef446f94880 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:summarization",
"task_categories:text2text-generation",
"tags:conditional-text-generation"
... | https://huggingface.co/datasets/stevhliu/demo/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- summarization
- text2text-generation
task_ids: []
tags:
- conditional-text-generation
---
# Dataset Card f... |
stiel | null | null | null | false | 1 | false | stiel/skjdhjkasdhasjkd | 2021-03-07T14:54:53.000Z | null | false | 7a21f1f2def7ffe7cc512c49f37cdd417a482aca | [] | [] | https://huggingface.co/datasets/stiel/skjdhjkasdhasjkd/resolve/main/README.md | |
stjokerli | null | null | null | false | 1 | false | stjokerli/TextToText_mnli | 2022-02-28T22:06:14.000Z | null | false | cee3c31f5ca3acd79098bb4968d092716d1353c2 | [] | [
"license:mit"
] | https://huggingface.co/datasets/stjokerli/TextToText_mnli/resolve/main/README.md | ---
license: mit
---
|
subiksha | null | null | null | false | 1 | false | subiksha/OwnDataset | 2021-05-18T18:35:52.000Z | null | false | d5e2c81f114c18ae7029dc228241fa777c5d5a46 | [] | [] | https://huggingface.co/datasets/subiksha/OwnDataset/resolve/main/README.md | |
susumu2357 | null | null | SQuAD_v2_sv is a Swedish version of SQuAD2.0. Translation was done automatically by using Google Translate API but it is not so straightforward because;
1. the span which determines the start and the end of the answer in the context may vary after translation,
2. tne translated context may not contain the translated a... | false | 150 | false | susumu2357/squad_v2_sv | 2022-07-01T18:31:20.000Z | null | false | d9709e0c5512c125ce34aea05b3de3f912092c1b | [] | [
"language:sv",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|wikipedia",
"task_categories:question-answering",
"task_ids:extractive-qa"
] | https://huggingface.co/datasets/susumu2357/squad_v2_sv/resolve/main/README.md | ---
language:
- sv
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
task_ids:
- extractive-qa
---
# Dataset Card for "squad_v2_sv"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Datas... |
svakulenk0 | null | null | null | false | 5 | false | svakulenk0/qrecc | 2022-07-02T17:35:21.000Z | null | false | 433e142816781b4cb97022bc2bd245e138a82140 | [] | [
"arxiv:2010.04898",
"language_creators:expert-generated",
"language_creators:found",
"language:en",
"license:cc-by-3.0",
"multilinguality:monolingual",
"source_datasets:extended|natural_questions",
"source_datasets:extended|quac",
"task_categories:question-answering",
"task_ids:open-domain-qa"
] | https://huggingface.co/datasets/svakulenk0/qrecc/resolve/main/README.md | ---
pretty_name: QReCC
language_creators:
- expert-generated
- found
language:
- en
license:
- cc-by-3.0
multilinguality:
- monolingual
source_datasets:
- extended|natural_questions
- extended|quac
task_categories:
- question-answering
task_ids:
- open-domain-qa
---
# Dataset Card for QReCC: Question Rewriting in Conv... |
svanhvit | null | @misc{20.500.12537/42,
title = {{MIM}-{GOLD}-{NER} – named entity recognition corpus},
author = {Ing{\'o}lfsd{\'o}ttir, Svanhv{\'{\i}}t and Gu{\dh}j{\'o}nsson, {\'A}smundur Alma and Loftsson, Hrafn},
url = {http://hdl.handle.net/20.500.12537/42},
note = {{CLARIN}-{IS}},
copyright = {Icelandic Gigaword Corpus Part1... | This Icelandic named entity (NE) corpus, MIM-GOLD-NER, is a version of the MIM-GOLD corpus tagged for NEs. Over 48 thousand NEs are tagged in this corpus of one million tokens, which can be used for training named entity recognizers for Icelandic.
The MIM-GOLD-NER corpus was developed at Reykjavik University in 2018–2... | false | 1 | false | svanhvit/icelandic-ner-MIM-GOLD-NER | 2021-10-08T11:39:45.000Z | null | false | 98c2df63345816421f5571ce53c20a6336166768 | [] | [] | https://huggingface.co/datasets/svanhvit/icelandic-ner-MIM-GOLD-NER/resolve/main/README.md | # NER for Icelandic - MIM-GOLD-NER splits
## MIM-GOLD-NER
The original MIM-GOLD-NER data is found at http://hdl.handle.net/20.500.12537/42
This repository packages the data for use with the Datasets library from hugginface.
## Old splits
*This is no longer in use.*
At the time of creation, the original data did ... |
tanfiona | null | @inproceedings{heindorf2020causenet,
author = {Stefan Heindorf and
Yan Scholten and
Henning Wachsmuth and
Axel-Cyrille Ngonga Ngomo and
Martin Potthast},
title = CauseNet: Towards a Causality Graph Extracted from the Web,
booktitle = CIKM,
publi... | Crawled Wikipedia Data from CIKM 2020 paper
'CauseNet: Towards a Causality Graph Extracted from the Web.' | false | 1 | false | tanfiona/causenet_wiki | 2022-06-06T03:47:17.000Z | null | false | 1415dba18f16ad3597931a36ed2e13c2f2b130c7 | [] | [] | https://huggingface.co/datasets/tanfiona/causenet_wiki/resolve/main/README.md | |
tarudesu | null | @inproceedings{Nguyen2021,
abstract = {The rise of social media has led to the increasing of comments on online forums. However, there still exists invalid comments which are not informative for users. Moreover, those comments are also quite toxic and harmful to people. In this paper, we create a dataset for constructi... | UIT-ViCTSD Dataset: A Vietnamese Constructive and Toxic Speech Detection Dataset.
This is a dataset for constructive and toxic speech detection with 10,000 human-annotated comments.
This is a dataset for binary sentiment classification, made of user comment scraped from VnExpress.net.
It contains 10,000 comments di... | false | 1 | false | tarudesu/UIT-ViCTSD | 2021-07-26T10:27:12.000Z | null | false | 5c8be481b54edf312b008adb2f6e801a010c09d3 | [] | [] | https://huggingface.co/datasets/tarudesu/UIT-ViCTSD/resolve/main/README.md | hello
|
tasosk | null | null | null | false | 2 | false | tasosk/airlines | 2021-12-18T19:30:19.000Z | null | false | 2c3d85d4d8126385d713cd137734bfb6e49eab11 | [] | [] | https://huggingface.co/datasets/tasosk/airlines/resolve/main/README.md | # Dataset Card for airlines
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure... |
tau | null | @misc{shaham2022scrolls,
title={SCROLLS: Standardized CompaRison Over Long Language Sequences},
author={Uri Shaham and Elad Segal and Maor Ivgi and Avia Efrat and Ori Yoran and Adi Haviv and Ankit Gupta and Wenhan Xiong and Mor Geva and Jonathan Berant and Omer Levy},
year={2022},
eprint={2201.... | SCROLLS: Standardized CompaRison Over Long Language Sequences.
A suite of natural language datasets that require reasoning over long texts.
https://scrolls-benchmark.com/ | false | 2,665 | false | tau/scrolls | 2022-10-24T17:20:37.000Z | scrolls | false | 39283208eb57d7c38861f4106f2501827fab58b0 | [] | [
"arxiv:2201.03533",
"arxiv:2104.02112",
"arxiv:2104.07091",
"arxiv:2104.05938",
"arxiv:1712.07040",
"arxiv:2105.03011",
"arxiv:2112.08608",
"arxiv:2110.01799",
"language:en",
"task_categories:question-answering",
"task_categories:summarization",
"task_categories:text-generation",
"task_ids:m... | https://huggingface.co/datasets/tau/scrolls/resolve/main/README.md | ---
language:
- en
task_categories:
- question-answering
- summarization
- text-generation
task_ids:
- multiple-choice-qa
- natural-language-inference
paperswithcode_id: scrolls
configs:
- gov_report
- summ_screen_fd
- qmsum
- qasper
- narrative_qa
- quality
- contract_nli
tags:
- query-based-summarization
- long-texts... |
testOrganization01 | null | null | null | false | 1 | false | testOrganization01/test05 | 2021-10-27T06:40:44.000Z | null | false | cf9350c25cc6c7bdf1ef3b894735f5dbd1017b17 | [] | [] | https://huggingface.co/datasets/testOrganization01/test05/resolve/main/README.md | test111111111
222222 |
tharindu | null | null | null | false | 1 | false | tharindu/MOLD | 2021-09-12T19:25:26.000Z | null | false | 5edaf8a0223732d1f92e92ddcf96fe0e9175a502 | [] | [] | https://huggingface.co/datasets/tharindu/MOLD/resolve/main/README.md | # MOLD - {M}arathi {O}ffensive {L}anguage {D}ataset
The {M}arathi {O}ffensive {L}anguage {D}ataset (MOLD) contains a collection of 2500 annotated Marathi tweets.
The files included are:
```
MOLD
│ README.md
└───data
│ MOLD_train.csv
│ MOLD_test.csv
```
- `MOLD_train.csv`: contains 1,875 annotated twe... |
tharindu | null | null | null | false | 20 | false | tharindu/SOLID | 2022-01-03T13:34:59.000Z | null | false | 7d6103712341593ad655569c9ec37c669a691a83 | [] | [] | https://huggingface.co/datasets/tharindu/SOLID/resolve/main/README.md |
# SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification
The widespread use of offensive content in social media has led to an abundance of research in detecting language such as hate speech, cyberbullying, and cyber-aggression. Recent work presented the OLID dataset, which follows a taxon... |
thiemowa | null | null | null | false | 1 | false | thiemowa/argumentationreviewcorpus | 2021-05-18T13:39:41.000Z | null | false | fc01af8abe76468122cdc6a04262c22805bda2f6 | [] | [] | https://huggingface.co/datasets/thiemowa/argumentationreviewcorpus/resolve/main/README.md | Argumentation Annotated Student Peer Reviews Corpus (AASPRC) version 1.0
-----------------------------------------------------
Free and full access: https://github.com/thiemowa/argumentative_student_peer_reviews
The corpus contains 1000 persuasive student peer reviews about business model feedbacks annotated for thei... |
thiemowa | null | null | null | false | 1 | false | thiemowa/empathyreviewcorpus | 2021-05-18T13:39:12.000Z | null | false | 6ca80725a337e86cd90878abf64805b181d75854 | [] | [] | https://huggingface.co/datasets/thiemowa/empathyreviewcorpus/resolve/main/README.md | Empathy Annotated Student Peer Reviews Corpus (EASPRC) version 1.0
-----------------------------------------------------
Free and full access: https://github.com/thiemowa/empathy_annotated_peer_reviews
The corpus contains 500 student peer reviews about business model feedbacks annotated for their cognitive and emotio... |
thomwolf | null | null | null | false | 1 | false | thomwolf/very-good-dataset | 2021-09-17T12:35:43.000Z | null | false | 99f7693ac2ad86604d60f1f3dafdeea1d4f6ba0a | [] | [] | https://huggingface.co/datasets/thomwolf/very-good-dataset/resolve/main/README.md | Dataset
# My very good dataset
This dataset was carefully crafted in my home with a lot of coffee
By thomwolf |
thomwolf | null | null | null | false | 1 | false | thomwolf/very-test-dataset-2 | 2021-09-17T12:28:45.000Z | null | false | ed27a8d299e06b62b812ea4538e74883635e531a | [] | [] | https://huggingface.co/datasets/thomwolf/very-test-dataset-2/resolve/main/README.md | # My very good dataset
This dataset was carefully crafted in my home with a lot of coffee
By thomwolf |
thomwolf | null | null | null | false | 33 | false | thomwolf/very-test-dataset | 2021-09-17T12:11:26.000Z | null | false | fe8bdba33903ab9490da4170b1159a3e8e8860bc | [] | [] | https://huggingface.co/datasets/thomwolf/very-test-dataset/resolve/main/README.md | # My great dataset |
tianxing1994 | null | null | null | false | 1 | false | tianxing1994/temp | 2021-07-07T13:08:08.000Z | null | false | 37efd20748c667376df719d997b83ac9ecf1c3e6 | [] | [] | https://huggingface.co/datasets/tianxing1994/temp/resolve/main/README.md | 临时文件, 当作网盘用. |
toddmorrill | null | null | null | false | 1 | false | toddmorrill/github-issues | 2022-10-25T09:56:49.000Z | null | false | a472740248f3c7ff1b6f2cb2938215d9f2df4c11 | [] | [
"annotations_creators:no-annotation",
"language:'en-US'",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification",
"task_categories:text-retrieval",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"task_ids:document-retrieval"
] | https://huggingface.co/datasets/toddmorrill/github-issues/resolve/main/README.md | ---
YAML tags:
annotations_creators:
- no-annotation
language_creators: []
language:
- '''en-US'''
license: []
multilinguality:
- monolingual
pretty_name: Hugging Face Github Issues
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
- text-retrieval
task_ids:
- multi-class-classificat... |
toloka | null | null | CrowdSpeech is a publicly available large-scale dataset of crowdsourced audio transcriptions. It contains annotations for more than 50 hours of English speech transcriptions from more than 1,000 crowd workers. | false | 1 | false | toloka/CrowdSpeech | 2022-10-24T20:17:01.000Z | crowdspeech | false | 3778bcd9c98651d6e62c69aaff3cee7c7b070560 | [] | [
"annotations_creators:found",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:summarization",
"task_categories:automatic-speech-recognition",
"task_categories:text2text-gene... | https://huggingface.co/datasets/toloka/CrowdSpeech/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- summarization
- automatic-speech-recognition
- text2text-generation
task_ids: []
paperswithcode_id: crowdspeech... |
toloka | null | null | VoxDIY: Benchmark Dataset for Russian Crowdsourced Audio Transcription. | false | 1 | false | toloka/VoxDIY-RusNews | 2022-10-24T20:17:04.000Z | null | false | d616757dd413b0a4591eef55c7b78abd82d961cb | [] | [
"annotations_creators:found",
"language_creators:crowdsourced",
"language:ru",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:summarization",
"task_categories:automatic-speech-recognition",
"task_categories:text2text-gene... | https://huggingface.co/datasets/toloka/VoxDIY-RusNews/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- crowdsourced
language:
- ru
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- summarization
- automatic-speech-recognition
- text2text-generation
task_ids: []
pretty_name: VoxDIY RusNews
la... |
tommy19970714 | null | @inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Lang... | Common Voice is Mozilla's initiative to help teach machines how real people speak.
The dataset currently consists of 7,335 validated hours of speech in 60 languages, but we’re always adding more voices and languages. | false | 2 | false | tommy19970714/common_voice | 2021-02-27T06:51:27.000Z | null | false | 5f1671c0b6836490847ec9e06fefd00f24a8a794 | [] | [] | https://huggingface.co/datasets/tommy19970714/common_voice/resolve/main/README.md | [Needs More Information]
# Dataset Card for common_voice
## 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-... |
transformersbook | null | null | null | false | 401 | false | transformersbook/codeparrot-train | 2022-02-05T16:23:03.000Z | null | false | 0933803eb0f5956b2da9d2d7b6805fa31b18a6c8 | [] | [] | https://huggingface.co/datasets/transformersbook/codeparrot-train/resolve/main/README.md | # CodeParrot Dataset
This is the train split of the CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the [NLP with Transformers book](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/). You can ... |
transformersbook | null | null | null | false | 1 | false | transformersbook/codeparrot-valid | 2022-02-05T16:23:18.000Z | null | false | 08cfe185552c1c9c8880d696862feb52506458fc | [] | [] | https://huggingface.co/datasets/transformersbook/codeparrot-valid/resolve/main/README.md | # CodeParrot Dataset
This is the validation split of the CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the [NLP with Transformers book](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/). You... |
transformersbook | null | null | null | false | 29 | false | transformersbook/codeparrot | 2022-02-05T16:15:40.000Z | null | false | 1525880546992f12c04c5ae4cf5c4d1e80ca04a4 | [] | [
"tags:python",
"tags:code"
] | https://huggingface.co/datasets/transformersbook/codeparrot/resolve/main/README.md | ---
tags:
- python
- code
---
# CodeParrot 🦜 Dataset
## What is it?
This is the full CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the [NLP with Transformers book](https://learning.oreilly.com/library/view/natural-language-p... |
turingbench | null | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | This benchmark environment contains a dataset comprised of generated texts from pre-trained language models.
We also have two benchmark tasks - human vs. machine (i.e., binary classification) and authorship
attribution (i.e., multi-class classification). These benchmark tasks and dataset are hosted on the
TuringBench w... | false | 8 | false | turingbench/TuringBench | 2022-10-25T09:56:51.000Z | null | false | 940fa0c860325e199aeaa8d6dbfceec69f13a7e8 | [] | [
"annotations_creators:found",
"language_creators:found",
"language_creators:machine-generated",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:multi-class-classification"
] | https://huggingface.co/datasets/turingbench/TuringBench/resolve/main/README.md | ---
YAML tags:
annotations_creators:
- found
language_creators:
- found
- machine-generated
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
---
# Dataset Card for [Tu... |
uasoyasser | null | null | null | false | 1 | false | uasoyasser/rgfes | 2021-03-05T15:42:19.000Z | null | false | 253bb695d8e78f96a95589f19ba54bddbd080c8a | [] | [] | https://huggingface.co/datasets/uasoyasser/rgfes/resolve/main/README.md | https://teacher.desmos.com/activitybuilder/teacherguide/6040a7a7da1fce0c129ae5be
https://teacher.desmos.com/activitybuilder/teacherguide/604249659240440d25a27d0c
https://teacher.desmos.com/activitybuilder/teacherguide/604249a365ecd40d30b4ad18
https://teacher.desmos.com/activitybuilder/teacherguide/604249e2cfb0a20d51e13... |
ucberkeley-dlab | null | null | null | false | 468 | false | ucberkeley-dlab/measuring-hate-speech | 2022-11-15T15:44:31.000Z | null | false | c65a95699c29e1374686b4bfe041dd3d31e89a24 | [] | [
"arxiv:2009.10277",
"annotations_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"task_ids:sentiment-classification",
"task_ids:multi-label-classification... | https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- hate-speech-detection
- sentiment-classification
- multi-label-classification
pretty_name: measuring-hate-speech
tags:
- arxiv:2009.1... |
uit-nlp | null | @InProceedings{8573337,
author={Nguyen, Kiet Van and Nguyen, Vu Duc and Nguyen, Phu X. V. and Truong, Tham T. H. and Nguyen, Ngan Luu-Thuy},
booktitle={2018 10th International Conference on Knowledge and Systems Engineering (KSE)},
title={UIT-VSFC: Vietnamese Students’ Feedback Corpus for Sentiment Analysis},
y... | Students’ feedback is a vital resource for the interdisciplinary research involving the combining of two different
research fields between sentiment analysis and education.
Vietnamese Students’ Feedback Corpus (UIT-VSFC) is the resource consists of over 16,000 sentences which are
human-annotated with two different tas... | false | 50 | false | uit-nlp/vietnamese_students_feedback | 2022-10-13T15:39:37.000Z | null | false | 7b56c6cb1c9c8523249f407044c838660df3811a | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:vi",
"license:unknown",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:sentiment-classification",
"task_ids:topic-classification"
] | https://huggingface.co/datasets/uit-nlp/vietnamese_students_feedback/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- vi
license:
- unknown
multilinguality:
- monolingual
pretty_name: "Vietnamese Students\u2019 Feedback Corpus"
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classifica... |
ujjawal1612 | null | null | null | false | 1 | false | ujjawal1612/quora | 2021-10-28T17:58:29.000Z | null | false | 01f57ed7aedeb103142f0965da76a8fa813f9790 | [] | [] | https://huggingface.co/datasets/ujjawal1612/quora/resolve/main/README.md | |
unicamp-dl | null | @misc{bonifacio2021mmarco,
title={mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset},
author={Luiz Henrique Bonifacio and Israel Campiotti and Vitor Jeronymo and Hugo Queiroz Abonizio and Roberto Lotufo and Rodrigo Nogueira},
year={2021},
eprint={2108.13897},
archivePr... | mMARCO translated datasets | false | 663 | false | unicamp-dl/mmarco | 2022-02-08T20:47:02.000Z | null | false | 3e62801c0b83d2f83db4a60da1f46eb17020c683 | [] | [
"arxiv:2108.13897",
"arxiv:2105.06813"
] | https://huggingface.co/datasets/unicamp-dl/mmarco/resolve/main/README.md | # Dataset Summary
**mMARCO** is a multilingual version of the [MS MARCO passage ranking dataset](https://microsoft.github.io/msmarco/).
For more information, checkout our papers:
* [**mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset**](https://arxiv.org/abs/2108.13897)
* [**A cost-benefit ana... |
unicamp-dl | null | # @misc{bonifacio2021mmarco,
# title={mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset},
# author={Luiz Henrique Bonifacio and Israel Campiotti and Vitor Jeronymo and Hugo Queiroz Abonizio and Roberto Lotufo and Rodrigo Nogueira},
# year={2021},
# eprint={2108.13897},
# ... | Robust04 translated datasets | false | 1 | false | unicamp-dl/mrobust | 2022-10-02T22:39:57.000Z | null | false | 32e7ffdc1544f00f74a3fa357a19e6e5c133916e | [] | [
"arxiv:2108.13897",
"arxiv:2105.06813",
"arxiv:2209.13738"
] | https://huggingface.co/datasets/unicamp-dl/mrobust/resolve/main/README.md | # Dataset Summary
**mRobust** is a multilingual version of the [TREC 2004 Robust passage ranking dataset](https://trec.nist.gov/data/robust/04.guidelines.html).
For more information, checkout our papers:
<!-- * [**mRobust: A Multilingual Version of the MS MARCO Passage Ranking Dataset**](https://arxiv.org/abs/2108.1... |
usc-isi | null | @inproceedings{thawani-etal-2021-numeracy,
title = "Numeracy enhances the Literacy of Language Models",
author = "Thawani, Avijit and
Pujara, Jay and
Ilievski, Filip",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
month = nov,
yea... | Language Modelling with Cardinal Number Annotations. | false | 148 | false | usc-isi/WikiConvert | 2022-10-24T17:40:43.000Z | null | false | 839230b8ff8b06ae3707e3b4ea418b34600061f5 | [] | [
"language_creators:found",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|wikipedia",
"task_categories:fill-mask",
"task_categories:other",
"task_categories:text-generation",
"task_ids:language-modeling",
"task_ids:masked-langu... | https://huggingface.co/datasets/usc-isi/WikiConvert/resolve/main/README.md | ---
language_creators:
- found
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|wikipedia
task_categories:
- fill-mask
- other
- text-generation
task_ids:
- language-modeling
- masked-language-modeling
pretty_name: Wiki-Convert
YAML tags:
- {}
- found... |
uva-irlab | null | @inproceedings{Elgohary:Peskov:Boyd-Graber-2019,
Title = {Can You Unpack That? Learning to Rewrite Questions-in-Context},
Author = {Ahmed Elgohary and Denis Peskov and Jordan Boyd-Graber},
Booktitle = {Empirical Methods in Natural Language Processing},
Year = {2019}
} | CANARD has been preprocessed by Voskarides et al. to train and evaluate their Query Resolution Term Classification
model (QuReTeC).
CANARD is a dataset for question-in-context rewriting that consists of questions each given in a dialog context
together with a context-independent rewriting of the question. The context ... | false | 3 | false | uva-irlab/canard_quretec | 2021-06-26T16:33:00.000Z | null | false | ca7a00ac18d9c120c43e240aa1fc1bcec2a854e0 | [] | [
"arxiv:2005.11723"
] | https://huggingface.co/datasets/uva-irlab/canard_quretec/resolve/main/README.md | # Preprocessed CANARD
Voskarides et al. have trained a Query Resolution Term Classification (QuReTec) model using the CANARD data set.
CANARD is a dataset for question-in-context rewriting that consists of questions each given in a dialog context together with a context-independent rewriting of the question. The conte... |
uva-irlab | null | @misc{dalton2020trec,
title={TREC CAsT 2019: The Conversational Assistance Track Overview},
author={Jeffrey Dalton and Chenyan Xiong and Jamie Callan},
year={2020},
eprint={2003.13624},
archivePrefix={arXiv},
primaryClass={cs.IR}
} | The Conversational Assistance Track (CAsT) is a new track for TREC 2019 to facilitate Conversational Information
Seeking (CIS) research and to create a large-scale reusable test collection for conversational search systems.
The document corpus is 38,426,252 passages from the TREC Complex Answer Retrieval (CAR) and Mi... | false | 2 | false | uva-irlab/trec-cast-2019-multi-turn | 2022-10-25T09:56:59.000Z | null | false | 4e82e7eb2b051c93a927d9483afe9741d46d226d | [] | [
"language:en",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"language_bcp47:en-US"
] | https://huggingface.co/datasets/uva-irlab/trec-cast-2019-multi-turn/resolve/main/README.md | ---
language:
- en
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
task_categories:
- text-retrieval
task_ids:
- document-retrieval
language_bcp47:
- en-US
---
# TREC Cast 2019
[TREC Cast](http://www.treccast.ai) have released a document collection with topics and qrels of which a subset has been annota... |
valurank | null | null | null | false | 1 | false | valurank/12-factor | 2022-10-21T13:39:15.000Z | null | false | 248f523261b443cb10f619c1f42ae7d1b6895eb0 | [] | [
"license:other",
"language:en",
"multilinguality:monolingual",
"task_ids:classification"
] | https://huggingface.co/datasets/valurank/12-factor/resolve/main/README.md | ---
license:
- other
language:
- en
multilinguality:
- monolingual
task_categories:
- classification
task_ids:
- classification
---
# Dataset Card for 12-factor
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Source Data](#sourc... |
valurank | null | null | null | false | 1 | false | valurank/PoliticalBias | 2022-10-21T13:38:13.000Z | null | false | 59e427a5a2ed756bb9ceb121a41ba595c24c7e9e | [] | [
"license:other",
"language:en",
"multilinguality:monolingual",
"task_ids:classification"
] | https://huggingface.co/datasets/valurank/PoliticalBias/resolve/main/README.md | ---
license:
- other
language:
- en
multilinguality:
- monolingual
task_categories:
- classification
task_ids:
- classification
---
# Dataset Card for PoliticalBias
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Source Data](#s... |
valurank | null | null | null | false | 1 | false | valurank/PoliticalBias_AllSides_Txt | 2022-10-21T13:37:02.000Z | null | false | 6d9846d674e8a4faec1062539fa59cde158dd3c3 | [] | [
"license:other",
"language:en",
"multilinguality:monolingual",
"task_ids:classification"
] | https://huggingface.co/datasets/valurank/PoliticalBias_AllSides_Txt/resolve/main/README.md | ---
license:
- other
language:
- en
multilinguality:
- monolingual
task_categories:
- classification
task_ids:
- classification
---
# Dataset Card for news-12factor
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Source Data](#s... |
valurank | null | null | null | false | 1 | false | valurank/PoliticalBias_Sources | 2022-10-21T13:34:55.000Z | null | false | f1f20a3da7b392df34fbb0e6760c45a76a654736 | [] | [
"license:other",
"language:en",
"multilinguality:monolingual",
"task_ids:classification"
] | https://huggingface.co/datasets/valurank/PoliticalBias_Sources/resolve/main/README.md | ---
license:
- other
language:
- en
multilinguality:
- monolingual
task_categories:
- classification
task_ids:
- classification
---
# Dataset Card for PoliticalBias_Sources
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Source ... |
valurank | null | null | null | false | 1 | false | valurank/hate-multi | 2022-10-25T09:57:06.000Z | null | false | 07b6fb00c0591cbe67bfe089426f53eae947fa57 | [] | [
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:derived",
"task_categories:text-classification"
] | https://huggingface.co/datasets/valurank/hate-multi/resolve/main/README.md | ---
language:
- en
license: other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- derived
task_categories:
- text-classification
---
# Dataset Card for hate-multi
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset S... |
valurank | null | null | null | false | 1 | false | valurank/news-12factor | 2022-10-21T13:35:36.000Z | null | false | f4573b39169bf35b045a334d3a8af21aaf705933 | [] | [
"license:other",
"language:en",
"multilinguality:monolingual",
"task_categories:text-classification",
"task_ids:multi-class-classification"
] | https://huggingface.co/datasets/valurank/news-12factor/resolve/main/README.md |
---
license:
- other
language:
- en
multilinguality:
- monolingual
task_categories:
- text-classification
task_ids:
- multi-class-classification
---
# Dataset Card for news-12factor
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... |
valurank | null | null | null | false | 1 | false | valurank/offensive-multi | 2022-10-25T09:57:14.000Z | null | false | e753de990611be1c86814db557ec8a8fecccea58 | [] | [
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:derived",
"task_categories:text-classification"
] | https://huggingface.co/datasets/valurank/offensive-multi/resolve/main/README.md | ---
language:
- en
license: other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- derived
task_categories:
- text-classification
---
# Dataset Card for hate-multi
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset ... |
vasudevgupta | null | null | null | false | 1 | false | vasudevgupta/bigbird-tokenized-natural-questions | 2021-05-04T06:47:51.000Z | null | false | 9315319176c9787952fe616e77547287ee7cf875 | [] | [] | https://huggingface.co/datasets/vasudevgupta/bigbird-tokenized-natural-questions/resolve/main/README.md | script can be found here: https://github.com/vasudevgupta7/bigbird
```python
DOC_STRIDE = 2048
MAX_LENGTH = 4096
SEED = 42
``` |
vasudevgupta | null | null | null | false | 1 | false | vasudevgupta/data | 2021-05-01T11:31:24.000Z | null | false | db71355e3b5bc188ea1eaf16e3e8846c5415b888 | [] | [] | https://huggingface.co/datasets/vasudevgupta/data/resolve/main/README.md | Test data for my `Quick` |
vasudevgupta | null | null | null | false | 1 | false | vasudevgupta/natural-questions-validation | 2021-05-04T18:25:07.000Z | null | false | 6064dd00b89457d5b0104472c9e47705312184c8 | [] | [] | https://huggingface.co/datasets/vasudevgupta/natural-questions-validation/resolve/main/README.md | Obtained using following code:
```python
from datasets import load_dataset
dataset = load_dataset("natural_questions", split="validation")
dataset.save_to_disk("natural-questions-validation")
``` |
vblagoje | null | null | null | false | 13 | false | vblagoje/lfqa_support_docs | 2021-12-30T10:28:31.000Z | null | false | c75445b51b432ba9c7f95514e410b8fbadb892a3 | [] | [] | https://huggingface.co/datasets/vblagoje/lfqa_support_docs/resolve/main/README.md | Support documents for building https://huggingface.co/vblagoje/bart_lfqa model
|
vera-pro | null | null | null | false | 1 | false | vera-pro/ShadowLink | 2021-12-14T16:38:53.000Z | null | false | fb8c5af3e97f49a827f2eeac4b4677bce882f92f | [] | [] | https://huggingface.co/datasets/vera-pro/ShadowLink/resolve/main/README.md | ShadowLink dataset is designed to evaluate the impact of entity overshadowing on the task of entity disambiguation.
Paper: "Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing" by Vera Provatorova, Svitlana Vakulenko, Samarth Bhargav, Evangelos Kanoulas. EMNLP 2021.
This... |
versae | null | @InProceedings{--,
author = {---},
title = {---},
booktitle = {---},
year = 2021,
address = "---"
} | Multilingual Bibles | false | 1 | false | versae/bibles | 2022-08-27T09:11:17.000Z | null | false | 2fa72971a77203767aa622c7e782734ecc7622b8 | [] | [
"language:sq",
"language:ar",
"language:az",
"language:be",
"language:bg",
"language:ceb",
"language:zh",
"language:cs",
"language:da",
"language:en",
"language:es",
"language:fi",
"language:fr",
"language:de",
"language:el",
"language:ht",
"language:he",
"language:hi",
"language... | https://huggingface.co/datasets/versae/bibles/resolve/main/README.md | ---
language:
- sq
- ar
- az
- be
- bg
- ceb
- zh
- cs
- da
- en
- es
- fi
- fr
- de
- el
- ht
- he
- hi
- hu
- it
- ko
- la
- nl
- no
- pt
- rm
- ru
- sw
- ta
- th
- tr
- vi
--- |
vesteinn | null | @misc{20.500.12537/42,
title = {{MIM}-{GOLD}-{NER} – named entity recognition corpus},
author = {Ing{\'o}lfsd{\'o}ttir, Svanhv{\'{\i}}t and Gu{\dh}j{\'o}nsson, {\'A}smundur Alma and Loftsson, Hrafn},
url = {http://hdl.handle.net/20.500.12537/42},
note = {{CLARIN}-{IS}},
copyright = {Icelandic Gigaword Corpus Part1... | This Icelandic named entity (NE) corpus, MIM-GOLD-NER, is a version of the MIM-GOLD corpus tagged for NEs. Over 48 thousand NEs are tagged in this corpus of one million tokens, which can be used for training named entity recognizers for Icelandic.
The MIM-GOLD-NER corpus was developed at Reykjavik University in 2018–2... | false | 1 | false | vesteinn/icelandic-ner-MIM-GOLD-NER | 2021-09-29T15:03:17.000Z | null | false | f9be396f46b5f060005eb199d73de6ecb6fce2b2 | [] | [] | https://huggingface.co/datasets/vesteinn/icelandic-ner-MIM-GOLD-NER/resolve/main/README.md | # NER for Icelandic - MIM-GOLD-NER splits
## MIM-GOLD-NER
The original MIM-GOLD-NER data is found at http://hdl.handle.net/20.500.12537/42
This repository packages the data for use with the Datasets library from hugginface.
## Old splits
*This is no longer in use.*
At the time of creation, the original data did ... |
vesteinn | null | \ | \ | false | 15 | false | vesteinn/icelandic-qa-NQiI | 2022-07-04T16:32:26.000Z | nqii | false | 61eae7391a132cd6323cfb25a96f9c981a2f615a | [] | [
"annotations_creators:curated",
"language_creators:curated",
"language:is",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"source_datasets:original",
"task_categories:question-answering",
"task_ids:open-domain-qa",
"task_ids:extractive-qa"
] | https://huggingface.co/datasets/vesteinn/icelandic-qa-NQiI/resolve/main/README.md | ---
pretty_name: NQiI
annotations_creators:
- curated
language_creators:
- curated
language:
- is
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- open-domain-qa
- extractive-qa
paperswithcode_id: nqii
---
# Natural Questions in Icelan... |
vocab-transformers | null | null | null | false | 1 | false | vocab-transformers/wiki-en-passages-20210101 | 2022-02-24T17:09:32.000Z | null | false | 7aa770fdd6a2639befc2867f7feadfc4a791db41 | [] | [] | https://huggingface.co/datasets/vocab-transformers/wiki-en-passages-20210101/resolve/main/README.md | # wiki-en-passages-20210101
This is a processed dump of the English Wikipedia from 2021-01-01. Each page has been splitted into paragraphs as they appear in the text. Lists, tables and headlines had been removed. In total it has 38,080,804 passages.
Further, each article contain meta-data on the number of languages... |
vumichien | null | null | null | false | 1 | false | vumichien/common_voice_large_jsut_jsss_css10 | 2022-10-25T00:35:20.000Z | null | false | fe2b27aeec9a4e74e359082a9a5c2f40ad111180 | [] | [
"language_creators:expert-generated",
"language:ja",
"license:cc-by-nc-nd-4.0",
"multilinguality:monolingual",
"source_datasets:mozilla-foundation/common_voice_7_0",
"source_datasets:Japanese speech corpus of Saruwatari-lab",
"source_datasets:Japanese speech corpus for summarization and simplification",... | https://huggingface.co/datasets/vumichien/common_voice_large_jsut_jsss_css10/resolve/main/README.md | ---
annotations_creators: []
language_creators:
- expert-generated
language:
- ja
license:
- cc-by-nc-nd-4.0
multilinguality:
- monolingual
source_datasets:
common_voice:
- mozilla-foundation/common_voice_7_0
JSUT:
- Japanese speech corpus of Saruwatari-lab
JSSS:
- Japanese speech corpus for summarization a... |
w11wo | null | \
@InProceedings{maas-EtAl:2011:ACL-HLT2011,
author = {Maas, Andrew L. and Daly, Raymond E. and Pham, Peter T. and Huang, Dan and Ng, Andrew Y. and Potts, Christopher},
title = {Learning Word Vectors for Sentiment Analysis},
booktitle = {Proceedings of the 49th Annual Meeting of the Associati... | Large Movie Review Dataset translated to Javanese.
This is a dataset for binary sentiment classification containing substantially
more data than previous benchmark datasets. We provide a set of 25,000 highly
polar movie reviews for training, and 25,000 for testing. There is additional
unlabeled data for use as well... | false | 6 | false | w11wo/imdb-javanese | 2022-10-25T10:01:48.000Z | null | false | 11bef3dfce0ce107eb5e276373dcd28759ce85ee | [] | [
"annotations_creators:found",
"language_creators:machine-generated",
"language:jv",
"license:odbl",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:sentiment-classification",
"extended:original"
] | https://huggingface.co/datasets/w11wo/imdb-javanese/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- machine-generated
language:
- jv
license:
- odbl
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
extended:
- original
---
# Dataset Card for "imdb-... |
wanagenst | null | null | null | false | 1 | false | wanagenst/maslow-stories | 2021-12-29T23:14:44.000Z | null | false | decea5bf4ca7c23d66f55702070fb325528d4b7d | [] | [] | https://huggingface.co/datasets/wanagenst/maslow-stories/resolve/main/README.md | # Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... |
wardenga | null | @article{lsoie-2021,
title={{LSOIE}: A Large-Scale Dataset for Supervised Open Information Extraction},
author={{Solawetz}, Jacob and {Larson}, Stefan},
journal={arXiv preprint arXiv:2101.11177},
year={2019},
url="https://arxiv.org/pdf/2101.11177.pdf"
} | The Large Scale Open Information Extraction Dataset (LSOIE), is a dataset 20
times larger than the next largest human-annotated Open Information Extraction
(OIE) dataset. LSOIE is a built upon the QA-SRL 2.0 dataset. | false | 56 | false | wardenga/lsoie | 2022-10-21T05:51:54.000Z | null | false | 0c31d59390719a2d53332194f2e768db99ac0474 | [] | [
"arxiv:2101.11177",
"annotations_creators:machine-generated",
"language_creators:found",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|qa_srl",
"task_categories:text-retrieval",
"tags:Open Information Extraction"
] | https://huggingface.co/datasets/wardenga/lsoie/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- found
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- extended|qa_srl
task_categories:
- text-retrieval
task_ids: []
pretty_name: LSOIE
tags:
- Open Information Extraction
---
# Dataset Card fo... |
webimmunization | null | null | null | false | 2 | false | webimmunization/COVID-19-vaccine-attitude-tweets | 2022-10-25T10:01:50.000Z | null | false | 9c4fd2e7c4968bc5b8b26e94e0bd2eaa69849873 | [] | [
"annotations_creators:crowdsourced",
"language_creators:other",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:54KB",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:sentiment-classification",
"task_ids:intent-classification"
] | https://huggingface.co/datasets/webimmunization/COVID-19-vaccine-attitude-tweets/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- other
language:
- en
license: [cc-by-4.0]
multilinguality:
- monolingual
pretty_name: twitter covid19 tweets
size_categories:
- 54KB
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
- intent-classificati... |
webis | null | @dataset{yamen_ajjour_2020_4139439,
author = {Yamen Ajjour and
Henning Wachsmuth and
Johannes Kiesel and
Martin Potthast and
Matthias Hagen and
Benno Stein},
title = {args.me corpus},
month = oct,
year ... | The args.me corpus (version 1.0, cleaned) comprises 382 545 arguments crawled from four debate portals in the middle of 2019. The debate portals are Debatewise, IDebate.org, Debatepedia, and Debate.org. The arguments are extracted using heuristics that are designed for each debate portal. | false | 1 | false | webis/args_me | 2022-09-21T12:09:09.000Z | null | false | 042bdf645bc980c751e9b217cc77e47624394390 | [] | [
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:text-retrieval",
"task_ids:document-retrieval"
] | https://huggingface.co/datasets/webis/args_me/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: Webis args.me argument corpus
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-retrieval
task_ids:
- document-retrieval
---
# Da... |
webis | null | @inproceedings{syed:2021,
author = {Shahbaz Syed and
Khalid Al Khatib and
Milad Alshomary and
Henning Wachsmuth and
Martin Potthast},
editor = {Chengqing Zong and
Fei Xia and
Wenjie Li and
Roberto Navigli}... | The ConcluGen corpus is constructed for the task of argument summarization. It consists of 136,996 pairs of argumentative texts and their conclusions collected from the ChangeMyView subreddit, a web portal for argumentative discussions on controversial topics.
The corpus has three variants: aspects, topics, and target... | false | 14 | false | webis/conclugen | 2022-05-03T06:18:33.000Z | null | false | 73b3cf841cb759a33cc71d2e4f176605012488d6 | [] | [] | https://huggingface.co/datasets/webis/conclugen/resolve/main/README.md | # Dataset Card for ConcluGen
## Table of Contents
- [Dataset Card for ConcluGen](#dataset-card-for-conclugen)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)... |
webis | null | null | null | false | 6 | false | webis/ms-marco-anchor-text | 2022-01-30T19:19:02.000Z | null | false | fcf173ce5e3d36bf92c1010e040e93b514ea9685 | [] | [] | https://huggingface.co/datasets/webis/ms-marco-anchor-text/resolve/main/README.md | # Webis MS MARCO Anchor Text 2022
The [Webis MS MARCO Anchor Text 2022 dataset](https://webis.de/data/webis-ms-marco-anchor-text-22.html) enriches Version 1 and 2 of the document collection of [MS MARCO](https://microsoft.github.io/msmarco/) with anchor text extracted from six [Common Crawl](https://commoncrawl.org/) ... |
wicho | null | null | null | false | 1 | false | wicho/stylekqc-style | 2022-02-22T16:25:19.000Z | null | false | 268275e998ab7685de6d30daf47f49918e53ed53 | [] | [
"license:cc-by-sa-4.0"
] | https://huggingface.co/datasets/wicho/stylekqc-style/resolve/main/README.md | ---
license: cc-by-sa-4.0
---
|
wietsedv | null | null | STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 and 2017. The selection of datasets include text from image captions, news headlines and user forums. | false | 4 | false | wietsedv/stsbenchmark | 2022-03-09T09:14:43.000Z | null | false | 1a79b56019535b76eaaf09d21870b63be061af20 | [] | [
"license:cc-by-sa-4.0"
] | https://huggingface.co/datasets/wietsedv/stsbenchmark/resolve/main/README.md | ---
license: cc-by-sa-4.0
---
|
winvoker | null | null | null | false | 45 | false | winvoker/turkish-sentiment-analysis-dataset | 2022-07-01T15:31:48.000Z | null | false | 97144479ac3da935c26f78d7cb68bddb3f774fd8 | [] | [
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language:tr",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification",
"task_ids:sentiment-classification"
] | https://huggingface.co/datasets/winvoker/turkish-sentiment-analysis-dataset/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
- expert-generated
language_creators:
- crowdsourced
language:
- tr
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: Turkish Sentiment Dataset
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- sentiment-classific... |
wpicard | null | null | null | false | 1 | false | wpicard/nostradamus-propheties | 2022-10-23T04:54:07.000Z | null | false | 17351fd223d575b909d038d67234611c4960d1eb | [] | [
"annotations_creators:no-annotation",
"language:en",
"language_bcp47:en-US",
"license:unknown",
"multilinguality:monolingual",
"size_categories:unknown",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/wpicard/nostradamus-propheties/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators: []
language:
- en
language_bcp47:
- en-US
license:
- unknown
multilinguality:
- monolingual
pretty_name: nostradamus-propheties
size_categories:
- unknown
source_datasets: []
task_categories:
- sequence-modeling
task_ids:
- language-modeling
---
# Dataset Car... |
x-tech | null | null | null | false | 10 | false | x-tech/cantonese-mandarin-translations | 2022-10-23T04:55:39.000Z | null | false | 00c7f4618947e038f2ea54ba948a9bdd2834070a | [] | [
"annotations_creators:machine-generated",
"language_creators:found",
"language:zh",
"language_bcp47:zh-CN",
"language_bcp47:zh-HK",
"license:mit",
"multilinguality:translation",
"size_categories:unknown",
"source_datasets:original",
"task_ids:machine-translation"
] | https://huggingface.co/datasets/x-tech/cantonese-mandarin-translations/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- found
language:
- zh
language_bcp47:
- zh-CN
- zh-HK
license:
- mit
multilinguality:
- translation
pretty_name: Cantonese - Mandarin Translations
size_categories:
- unknown
source_datasets:
- original
task_categories:
- conditional-text-generation
task_... |
xkang | null | null | null | false | 1 | false | xkang/github-issues | 2021-12-14T01:36:26.000Z | null | false | d420587ada57b88e66747e1a59b92b99f428e7f5 | [] | [] | https://huggingface.co/datasets/xkang/github-issues/resolve/main/README.md | |
xuyeliu | null | null | null | false | 2 | false | xuyeliu/notebookCDG | 2021-12-31T18:13:39.000Z | null | false | 0f52f7a38cc210a873daa7207cb023a15d0f7362 | [] | [
"arxiv:2104.01002"
] | https://huggingface.co/datasets/xuyeliu/notebookCDG/resolve/main/README.md | # notebookCDG
This dataset designed for a recent published paper([HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks](https://arxiv.org/abs/2104.01002)) EMNLP'21 Finding.
You can directly use dataset_notebook.pkl to run the code from the ... |
yannobla | null | null | null | false | 1 | false | yannobla/Sunshine | 2021-09-07T11:42:47.000Z | null | false | 5eb45e864fc638e587e87b27063afada64e1794a | [] | [] | https://huggingface.co/datasets/yannobla/Sunshine/resolve/main/README.md | Meine wunderschönen Haare wehen im Morgenwind |
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