author stringlengths 2 29 ⌀ | cardData null | citation stringlengths 0 9.58k ⌀ | description stringlengths 0 5.93k ⌀ | disabled bool 1
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
gaganpathre | null | null | null | false | 1 | false | gaganpathre/amgerindaf | 2022-05-13T10:27:54.000Z | null | false | bcc127ed47b47673d53648e54f25ccb55e306679 | [] | [
"license:mit"
] | https://huggingface.co/datasets/gaganpathre/amgerindaf/resolve/main/README.md | ---
license: mit
---
|
forcorpus | null | null | null | false | 4 | false | forcorpus/WikiCybersecurity | 2022-05-13T11:30:58.000Z | null | false | 8dd2968f0bcbbdf8c91559f721ad223e01773c63 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/forcorpus/WikiCybersecurity/resolve/main/README.md | ---
license: cc-by-4.0
---
|
Evelyn18 | null | @article{2016arXiv160605250R,
author = {Casimiro Pio , Carrino and Marta R. , Costa-jussa and Jose A. R. , Fonollosa},
title = "{Automatic Spanish Translation of the SQuAD Dataset for Multilingual
Question Answering}",
journal = {arXiv e-prints},
year = 2019,
eid = {arXiv:1912.... | automatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish | false | 5 | false | Evelyn18/becas | 2022-05-26T23:41:42.000Z | null | false | cc9cf630ade5331cbf5de98414a71b3b85a905dd | [] | [] | https://huggingface.co/datasets/Evelyn18/becas/resolve/main/README.md | annotations_creators:
- other
language_creators:
- other
languages:
- "Espa\xF1ol"
licenses: []
multilinguality:
- monolingual
pretty_name: 'BecasIncentivosUNL
'
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- extractive-qa |
hxue3 | null | null | null | false | 1 | false | hxue3/autotrain-data-code_summarization | 2022-10-23T05:49:19.000Z | null | false | 29b3c541ba1e96bbaf2a38f0cec26b921f2d711d | [] | [
"language:en"
] | https://huggingface.co/datasets/hxue3/autotrain-data-code_summarization/resolve/main/README.md | ---
language:
- en
task_categories:
- conditional-text-generation
---
# AutoTrain Dataset for project: code_summarization
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project code_summarization.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Str... |
Barik | null | null | null | false | 1 | false | Barik/testt | 2022-05-13T22:02:55.000Z | null | false | 066c5fc6068779c721f701cde47ff7b277a58ad3 | [] | [] | https://huggingface.co/datasets/Barik/testt/resolve/main/README.md | |
IsaacBot | null | null | null | false | 1 | false | IsaacBot/SQuAD-single-sentence-QA | 2022-08-09T23:27:37.000Z | null | false | 04eab0bad794c793db8db7dfd391a560dea18f4d | [] | [
"annotations_creators:other",
"language:en",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|squad",
"task_categories:question-answering",
"task_ids:extractive-qa"
] | https://huggingface.co/datasets/IsaacBot/SQuAD-single-sentence-QA/resolve/main/README.md | ---
annotations_creators:
- other
language:
- en
language_creators:
- found
license: []
multilinguality:
- monolingual
pretty_name: SQuAD-single-sentence-QA
size_categories:
- 10K<n<100K
source_datasets:
- extended|squad
tags: []
task_categories:
- question-answering
task_ids:
- extractive-qa
---
### Dataset Summary
... |
itsroadtrip | null | null | null | false | 1 | false | itsroadtrip/test-dataset | 2022-05-13T23:51:42.000Z | null | false | a56814dfb4a247a505eb407109952cc5cb3cda33 | [] | [
"license:zlib"
] | https://huggingface.co/datasets/itsroadtrip/test-dataset/resolve/main/README.md | ---
license: zlib
---
do your worst |
morteza | null | null | null | false | 1 | false | morteza/cogtext | 2022-07-09T18:51:11.000Z | linking-theories-and-methods-in-cognitive | false | 8e20f845672f23052260e02a10e6412b880ffd5c | [] | [
"arxiv:2203.11016",
"license:cc-by-4.0",
"language:en",
"multilinguality:monolingual",
"task_categories:text-classification",
"task_ids:topic-classification",
"task_ids:semantic-similarity-classification",
"size_categories:100K<n<1M",
"source_datasets:original",
"language_creators:found",
"langu... | https://huggingface.co/datasets/morteza/cogtext/resolve/main/README.md | ---
pretty_name: CogText PubMed Abstracts
license:
- cc-by-4.0
language:
- en
multilinguality:
- monolingual
task_categories:
- text-classification
task_ids:
- topic-classification
- semantic-similarity-classification
size_categories:
- 100K<n<1M
paperswithcode_id: linking-theories-and-methods-in-cognitive
inference: f... |
Chr0my | null | null | null | false | 1 | false | Chr0my/freesound.org | 2022-05-15T17:51:12.000Z | null | false | 475480b6222cc6f546ae63ceeebd5c639bdf67ec | [] | [] | https://huggingface.co/datasets/Chr0my/freesound.org/resolve/main/README.md | This dataset has been scraped from https://freesound.org
Containing 554849 audio clips.
License: cc-by-sa-3.0, https://creativecommons.org/licenses/by-sa/3.0/
|
nouamanetazi | null | null | MASSIVE is a parallel dataset of > 1M utterances across 51 languages with annotations
for the Natural Language Understanding tasks of intent prediction and slot annotation.
Utterances span 60 intents and include 55 slot types. MASSIVE was created by localizing
the SLURP dataset, composed... | false | 1 | false | nouamanetazi/test111 | 2022-05-15T19:28:57.000Z | null | false | 15a498e7de5206bda47afd5da44f3a8de6122878 | [] | [] | https://huggingface.co/datasets/nouamanetazi/test111/resolve/main/README.md | test |
mteb | null | null | MASSIVE is a parallel dataset of > 1M utterances across 51 languages with annotations
for the Natural Language Understanding tasks of intent prediction and slot annotation.
Utterances span 60 intents and include 55 slot types. MASSIVE was created by localizing
the SLURP dataset, composed... | false | 606 | false | mteb/amazon_massive_intent | 2022-09-27T19:10:30.000Z | null | false | 072a486a144adf7f4479a4a0dddb2152e161e1ea | [] | [
"language:af",
"language:am",
"language:ar",
"language:az",
"language:bn",
"language:cy",
"language:da",
"language:de",
"language:el",
"language:en",
"language:es",
"language:fa",
"language:fr",
"language:he",
"language:hi",
"language:hu",
"language:hy",
"language:id",
"language:... | https://huggingface.co/datasets/mteb/amazon_massive_intent/resolve/main/README.md | ---
language:
- af
- am
- ar
- az
- bn
- cy
- da
- de
- el
- en
- es
- fa
- fr
- he
- hi
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- km
- kn
- ko
- lv
- ml
- mn
- ms
- my
- nb
- nl
- pl
- pt
- ro
- ru
- sl
- sq
- sv
- sw
- ta
- te
- th
- tl
- tr
- ur
- vi
- zh
--- |
fuliucansheng | null | KDD2022
Task1: Query Product Ranking
Task2: Multiclass Product Classification
Task3: Product Substitute Identification | KDD2022
Task1: Query Product Ranking
Task2: Multiclass Product Classification
Task3: Product Substitute Identification | false | 1 | false | fuliucansheng/kdd2022 | 2022-05-23T16:15:03.000Z | null | false | 01c92c2e9ad8006ca4c9d205641164bf6294ce41 | [] | [] | https://huggingface.co/datasets/fuliucansheng/kdd2022/resolve/main/README.md | |
Moo | null | null | null | false | 14 | false | Moo/korean-parallel-corpora | 2022-07-01T15:32:54.000Z | null | false | b814940b602d179b21beac3b8c14c97bcde0e963 | [] | [
"annotations_creators:other",
"language_creators:other",
"language:ko",
"language:en",
"license:cc-by-sa-3.0",
"multilinguality:multilingual",
"multilinguality:translation",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:translation"
] | https://huggingface.co/datasets/Moo/korean-parallel-corpora/resolve/main/README.md | ---
annotations_creators:
- other
language_creators:
- other
language:
- ko
- en
license:
- cc-by-sa-3.0
multilinguality:
- multilingual
- translation
pretty_name: 'korean-parallel-corpora '
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- translation
task_ids: []
---
|
jk-gjom | null | null | null | false | 1 | false | jk-gjom/covid19weibo | 2022-05-16T08:05:16.000Z | null | false | 27b43c4cfd24a1038c1968739f992eeef372bce0 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/jk-gjom/covid19weibo/resolve/main/README.md | ---
license: afl-3.0
---
|
Sultannn | null | null | null | false | 7 | false | Sultannn/id_recipe | 2022-09-18T09:24:13.000Z | null | false | 83f042f5e142c32f1cb0ff8dd71b7e8546a8c9e8 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:id",
"license:mit",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:text2text-generation",
"task_categories:text-generation",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/Sultannn/id_recipe/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- id
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text2text-generation
- text-generation
task_ids:
- language-modeling
paperswithcode_id: null
pretty_name: Indones... |
ntt123 | null | null | null | false | 1 | false | ntt123/vi-text | 2022-05-17T02:39:11.000Z | null | false | 490d7f84b73592e1bedc1129057b45ec9538b3e7 | [] | [
"license:cc-by-nc-4.0"
] | https://huggingface.co/datasets/ntt123/vi-text/resolve/main/README.md | ---
license: cc-by-nc-4.0
---
|
mwritescode | null | @misc{rossini2022slitherauditedcontracts,
title = {Slither Audited Smart Contracts Dataset},
author={Martina Rossini},
year={2022}
} | This dataset contains source code and deployed bytecode for Solidity Smart Contracts that have been verified on Etherscan.io, along with a classification of their vulnerabilities according to the Slither static analysis framework. | false | 705 | false | mwritescode/slither-audited-smart-contracts | 2022-07-14T14:12:44.000Z | null | false | 13594107c7afa216cb0c126f38b8ff6548112dcf | [] | [
"annotations_creators:other",
"language_creators:found",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:text-classification",
"task_categories:text-generation",
"task_ids:multi-label-classification",
"task_id... | https://huggingface.co/datasets/mwritescode/slither-audited-smart-contracts/resolve/main/README.md | ---
annotations_creators:
- other
language_creators:
- found
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: Slither Audited Smart Contracts
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-classification
- text-generation
task_ids:
- multi-label-classification
... |
wdc | null | @inproceedings{primpeli2019wdc,
title={The WDC training dataset and gold standard for large-scale product matching},
author={Primpeli, Anna and Peeters, Ralph and Bizer, Christian},
booktitle={Companion Proceedings of The 2019 World Wide Web Conference},
pages={381--386},
year={2019}
} | Many e-shops have started to mark-up product data within their HTML pages using the schema.org vocabulary. The Web Data Commons project regularly extracts such data from the Common Crawl, a large public web crawl. The Web Data Commons Training and Test Sets for Large-Scale Product Matching contain product offers from d... | false | 22 | false | wdc/products-2017 | 2022-10-23T05:50:24.000Z | wdc-products | false | bee4f71ca1bcfc51eb8fc41d65720fb6f487df9d | [] | [
"annotations_creators:weak supervision",
"annotations_creators:expert-generated",
"language:en",
"language_bcp47:en-US",
"license:unknown",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:text-classification",
... | https://huggingface.co/datasets/wdc/products-2017/resolve/main/README.md | ---
annotations_creators:
- weak supervision
- expert-generated
language:
- en
language_bcp47:
- en-US
license:
- unknown
multilinguality:
- monolingual
pretty_name: products-2017
size_categories:
- 1K<n<10K
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
- data-integration
task_ids:
- ... |
augustoortiz | null | null | null | false | 1 | false | augustoortiz/Test | 2022-06-06T18:54:37.000Z | null | false | d1eaf1be22fdc6ea179f170169b54dcd3c7255e4 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/augustoortiz/Test/resolve/main/README.md | ---
license: afl-3.0
---
|
M-CLIP | null | null | null | false | 32 | false | M-CLIP/ImageCaptions-7M-Translations | 2022-05-16T21:03:28.000Z | null | false | 49734d6eceffcfc95dad4eb8f06176b83b5d2aae | [] | [] | https://huggingface.co/datasets/M-CLIP/ImageCaptions-7M-Translations/resolve/main/README.md | ---
license: cc-by-4.0
---
|
J3romee | null | null | null | false | 3 | false | J3romee/CLEAR | 2022-05-17T14:17:33.000Z | null | false | 89ca92ddc949368b54d469103fd7fe8fc216f646 | [] | [
"arxiv:2106.06147"
] | https://huggingface.co/datasets/J3romee/CLEAR/resolve/main/README.md | # CLEAR2 dataset
This dataset was presented in the article "NAAQA: A Neural Architecture for Acoustic Question answering" submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence in 2021.
https://arxiv.org/abs/2106.06147
The code to generate this dataset is available at : https://github.com/J3rome/... |
allenai | null | null | null | false | 323 | false | allenai/wmt22_african | 2022-08-15T21:52:43.000Z | null | false | 8a04a9b99a4d0fd4e932a728421f4712f68f2091 | [] | [] | https://huggingface.co/datasets/allenai/wmt22_african/resolve/main/README.md | # Dataset Card for allenai/wmt22_african
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [D... |
justram | null | null | null | false | 1 | false | justram/wit_en | 2022-08-25T22:05:03.000Z | null | false | 28cdfcf7eb063242db9814d1e631d5f2d305e54e | [] | [] | https://huggingface.co/datasets/justram/wit_en/resolve/main/README.md | # WIT : Wikipedia-based Image Text Dataset
Source: https://github.com/google-research-datasets/wit
This repo contains an English subset of the WIT dataset.
## Purpose
- This repo is ported for research purposes. If you find this repo helpful, please consider citing the original paper.
- Update:
We are actively develo... |
STAM | null | null | null | false | 1 | false | STAM/agricore | 2022-05-17T14:48:55.000Z | null | false | bb9ba95ef816ffe2647eab4b4f5ce3d84a9d1d2c | [] | [
"license:mit"
] | https://huggingface.co/datasets/STAM/agricore/resolve/main/README.md | ---
license: mit
---
|
penguinwang96825 | null | null | null | false | 2 | false | penguinwang96825/Bloomberg-News-Summarisation | 2022-05-17T11:15:33.000Z | null | false | dc0e628e5d1a3dc3617013ead866064ebc48ad61 | [] | [] | https://huggingface.co/datasets/penguinwang96825/Bloomberg-News-Summarisation/resolve/main/README.md | Summarisation task on Bloomberg news dataset. |
HuggingFaceM4 | null | null | null | false | 2 | false | HuggingFaceM4/ActivitiyNet_Captions | 2022-10-23T05:50:46.000Z | null | false | 5acf467539fcfa80b4c7d24ddebd41151a69fc3d | [] | [
"arxiv:1705.00754",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:10k<n<100K",
"source_datasets:original",
"task_ids:closed-domain-qa"
] | https://huggingface.co/datasets/HuggingFaceM4/ActivitiyNet_Captions/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- en
license:
- other
multilinguality:
- monolingual
pretty_name: ActivityNet Captions
size_categories:
- 10k<n<100K
source_datasets:
- original
task_categories:
- video-captionning
task_ids:
- closed-domain-qa
---
# Dataset Card... |
HuggingFaceM4 | null | @InProceedings{tgif-cvpr2016,
author = {Li, Yuncheng and Song, Yale and Cao, Liangliang and Tetreault, Joel and Goldberg, Larry and Jaimes, Alejandro and Luo, Jiebo},
title = "{TGIF: A New Dataset and Benchmark on Animated GIF Description}",
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognit... | The Tumblr GIF (TGIF) dataset contains 100K animated GIFs and 120K sentences describing visual content of the animated GIFs.
The animated GIFs have been collected from Tumblr, from randomly selected posts published between May and June of 2015.
We provide the URLs of animated GIFs in this release. The sentences are c... | false | 2 | false | HuggingFaceM4/TGIF | 2022-10-25T10:25:38.000Z | null | false | 2042af8ea928da30559f8a56dd81f36a945c6fc6 | [] | [
"arxiv:1604.02748",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:question-answering",
"task_categories:visual-question-answering",
... | https://huggingface.co/datasets/HuggingFaceM4/TGIF/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- en
license:
- other
multilinguality:
- monolingual
pretty_name: TGIF
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- question-answering
- visual-question-answering
task_ids:
- closed-domain-qa
---
# ... |
mteb | null | null | null | false | 460 | false | mteb/banking77 | 2022-09-27T19:15:02.000Z | null | false | 44fa15921b4c889113cc5df03dd4901b49161ab7 | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/banking77/resolve/main/README.md | ---
language:
- en
--- |
EMBO | null | @Unpublished{
huggingface: dataset,
title = {SourceData NLP},
authors={Thomas Lemberger & Jorge Abreu-Vicente, EMBO},
year={2021}
} | This dataset is based on the SourceData database and is intented to facilitate training of NLP tasks in the cell and molecualr biology domain. | false | 12 | false | EMBO/sd-nlp-non-tokenized | 2022-10-23T05:52:01.000Z | null | false | 85f8e68efd10dbc6f77b26fe6fd2a1047fe4a322 | [] | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:named-entity-recognition",
"task_i... | https://huggingface.co/datasets/EMBO/sd-nlp-non-tokenized/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets: []
task_categories:
- text-classification
- structure-prediction
task_ids:
- multi-class-classification
- named-entity-reco... |
Iyanuoluwa | null | null | null | false | 2 | false | Iyanuoluwa/YOSM | 2022-05-17T13:00:01.000Z | null | false | 2c2f5df48c6bbd4afc1056996b19672deba42a5e | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/Iyanuoluwa/YOSM/resolve/main/README.md | ---
license: cc-by-4.0
---
|
godwinh | null | null | null | false | 2 | false | godwinh/fongbe-asr | 2022-05-30T14:36:46.000Z | null | false | c8f8a04c85d0138d9e220e3670c400a11b788145 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/godwinh/fongbe-asr/resolve/main/README.md | ---
license: apache-2.0
---
Original dataset at [this repo](https://github.com/laleye/pyFongbe)
We transformed the original repo to take into account the waveform values directly in the csv.
Using `IPython.diplay` module, you can load an audio by doing:
```python
import pandas as pd
from IPython.display import Audi... |
Yingda | null | null | null | false | 1 | false | Yingda/test | 2022-05-18T03:01:37.000Z | null | false | b377e1934d8a92e2056e90dc64dc9c0d8f695992 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Yingda/test/resolve/main/README.md | ---
license: apache-2.0
---
|
justmywyw | null | null | null | false | 1 | false | justmywyw/datasets | 2022-05-18T03:15:36.000Z | null | false | eb9cbfc2b39b7c21f1c92fdd4bf015b161748aee | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/justmywyw/datasets/resolve/main/README.md | ---
license: apache-2.0
---
|
PontifexMaximus | null | null | null | false | 1 | false | PontifexMaximus/Persian-English | 2022-05-18T07:54:17.000Z | null | false | a1eaa112f9ea588eb21429a9f62b47001aa6fa8e | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/PontifexMaximus/Persian-English/resolve/main/README.md | ---
license: afl-3.0
---
|
Gwangho | null | null | null | false | 2 | false | Gwangho/test | 2022-05-18T07:10:12.000Z | null | false | a62165cb6754c4500b52542ec6674bf5e6e46ecc | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Gwangho/test/resolve/main/README.md | ---
license: apache-2.0
---
|
PontifexMaximus | null | null | null | false | 1 | false | PontifexMaximus/En-as | 2022-05-24T06:50:46.000Z | null | false | 44149c050c2e5825bf67558f894091f6503c206a | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/PontifexMaximus/En-as/resolve/main/README.md | ---
license: afl-3.0
---
|
strombergnlp | null | @inproceedings{vamvas2020xstance,
author = "Vamvas, Jannis and Sennrich, Rico",
title = "{X-Stance}: A Multilingual Multi-Target Dataset for Stance Detection",
booktitle = "Proceedings of the 5th Swiss Text Analytics Conference (SwissText) \& 16th Conference on Natural Language Processing (KONVENS)",... | The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote. | false | 2 | false | strombergnlp/x-stance | 2022-10-25T21:45:25.000Z | null | false | 74ef270ce4489431ee869b06985fc55183e0552b | [] | [
"arxiv:2003.08385",
"annotations_creators:crowdsourced",
"language_creators:found",
"language:de",
"language:fr",
"license:mit",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"task_categories:text-classification",
"task_ids:fact-checking",
"tags:stance-detection"
] | https://huggingface.co/datasets/strombergnlp/x-stance/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- de
- fr
license:
- mit
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
source_datasets: []
task_categories:
- text-classification
task_ids:
- fact-checking
pretty_name: X-Stance
tags:
- stance-detection
---
# Dataset Card for... |
veriga | null | null | null | false | 1 | false | veriga/dactilo | 2022-05-19T12:01:03.000Z | null | false | 02a2b0e3c6256b3a42c2153831dc4f9f17968ee3 | [] | [] | https://huggingface.co/datasets/veriga/dactilo/resolve/main/README.md | |
rajeshvarma | null | null | null | false | 2 | false | rajeshvarma/QA_on_SLA | 2022-10-25T05:31:01.000Z | null | false | fe996e4e03e326a50d13e5a0dd39fc8fe6902b16 | [] | [
"annotations_creators:no-annotations",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_ids:summarization"
] | https://huggingface.co/datasets/rajeshvarma/QA_on_SLA/resolve/main/README.md | ---
annotations_creators:
- no-annotations
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- summarization
---
|
khalidalt | null | @article{tydiqa,
title = {TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages},
author = {Jonathan H. Clark and Eunsol Choi and Michael Collins and Dan Garrette and Tom Kwiatkowski and Vitaly Nikolaev and Jennimaria Palomaki}
year = {2020},
journal = {Transactions of... | TyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs.
The languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language
expresses -- such that we expect models performing well on this set to generalize a... | false | 134 | false | khalidalt/tydiqa-goldp | 2022-07-28T21:49:31.000Z | tydi-qa | false | a80eef6b5715057fedc1dcd0cf87ed9cc233d118 | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:en",
"language:ar",
"language:bn",
"language:fi",
"language:id",
"language:ja",
"language:sw",
"language:ko",
"language:ru",
"language:te",
"language:th",
"license:apache-2.0",
"multilinguality:multilingual"... | https://huggingface.co/datasets/khalidalt/tydiqa-goldp/resolve/main/README.md | ---
pretty_name: TyDi QA
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
- ar
- bn
- fi
- id
- ja
- sw
- ko
- ru
- te
- th
license:
- apache-2.0
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
ta... |
JorenGij | null | null | null | false | 2 | false | JorenGij/inventorytest | 2022-05-18T17:08:05.000Z | null | false | 563c349d95aa1550bb69848733f8fce712d4c9dd | [] | [] | https://huggingface.co/datasets/JorenGij/inventorytest/resolve/main/README.md | test |
nateraw | null | null | null | false | 1 | false | nateraw/imagenet-sketch-data | 2022-05-18T20:30:41.000Z | null | false | d00ab762ad9e29dcd6b08a9d542b2057550162d1 | [] | [
"license:other"
] | https://huggingface.co/datasets/nateraw/imagenet-sketch-data/resolve/main/README.md | ---
license: other
---
|
rungalileo | null | null | null | false | 7 | false | rungalileo/20_Newsgroups_Fixed | 2022-10-25T10:25:50.000Z | null | false | 147dd309b32c474936d90d63824a492826b6376b | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:en",
"license:unknown",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:topic-classifica... | https://huggingface.co/datasets/rungalileo/20_Newsgroups_Fixed/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- unknown
multilinguality:
- monolingual
pretty_name: 20_Newsgroups_Fixed
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
- topic-cla... |
brook | null | null | null | false | 2 | false | brook/fullwiki-context | 2022-05-19T03:46:44.000Z | null | false | 460387eecbfd0e6ae72195fc40416f9553f7d613 | [] | [] | https://huggingface.co/datasets/brook/fullwiki-context/resolve/main/README.md | a fullwiki context for hotpot_qa |
namnv1906 | null | null | null | false | 2 | false | namnv1906/librispeech-100h | 2022-05-19T07:49:17.000Z | null | false | da57e21c81ca5d2da49390958dbb145ef026e731 | [] | [] | https://huggingface.co/datasets/namnv1906/librispeech-100h/resolve/main/README.md | |
jordane95 | null | null | null | false | 1 | false | jordane95/wikipedia-nq-corpus-query | 2022-05-19T08:38:11.000Z | null | false | 52b5db6d31c0fac7e3fe266e92dc0de25c4f43a2 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/jordane95/wikipedia-nq-corpus-query/resolve/main/README.md | ---
license: afl-3.0
---
|
jdd | null | null | null | false | 2 | false | jdd/jddtest | 2022-05-19T09:37:52.000Z | null | false | ec50445776fe1c161931d3f906d0c4aa1c8d6658 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/jdd/jddtest/resolve/main/README.md | ---
license: afl-3.0
---
|
statworx | null | null | null | false | 24 | false | statworx/haiku | 2022-07-02T13:25:45.000Z | null | false | 896d4d71b41650fd4051417f09359ebac86661ef | [] | [
"language:en",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"task_categories:text-generation",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/statworx/haiku/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- en
license: []
multilinguality:
- monolingual
pretty_name: Haiku
size_categories:
- 10K<n<100K
source_datasets: []
task_categories:
- text-generation
task_ids:
- language-modeling
---
# Dataset Card for Haiku Data
|
strombergnlp | null | @incollection{xu2016overview,
title={Overview of nlpcc shared task 4: Stance detection in chinese microblogs},
author={Xu, Ruifeng and Zhou, Yu and Wu, Dongyin and Gui, Lin and Du, Jiachen and Xue, Yun},
booktitle={Natural language understanding and intelligent applications},
pages={907--916},
year={2016},
... | This is a stance prediction dataset in Chinese.
The data is that from a shared task, stance detection in Chinese microblogs, in NLPCC-ICCPOL 2016. It covers Task A, a mandatory supervised task which detects stance towards five targets of interest with given labeled data. | false | 4 | false | strombergnlp/nlpcc-stance | 2022-10-25T21:47:26.000Z | null | false | dca814e1ce04213a6600c4e490c0018b2c7004ac | [] | [
"annotations_creators:expert-generated",
"language_creators:found",
"language:zh",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:sentiment-analysis",
"tags:stance-detection"
] | https://huggingface.co/datasets/strombergnlp/nlpcc-stance/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- zh
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-analysis
pretty_name: NLPCC Stance
tags:
- stance-detection
---
... |
HuggingFaceM4 | null | @inproceedings{zellersluhessel2021merlot,
title={MERLOT: Multimodal Neural Script Knowledge Models},
author={Zellers, Rowan and Lu, Ximing and Hessel, Jack and Yu, Youngjae and Park, Jae Sung and Cao, Jize and Farhadi, Ali and Choi, Yejin},
booktitle={Advances in Neural Information Processing Systems 34},
year=... | YT-Temporal-180M, a large and diverse dataset of 6 million videos (spanning 180M extracted frames)
that covers diverse topics. | false | 2 | false | HuggingFaceM4/yttemporal180m | 2022-05-24T12:25:22.000Z | null | false | 1cc8db2ceb9edce8ff1bbbc3c7bb0b709eb6d745 | [] | [
"license:other"
] | https://huggingface.co/datasets/HuggingFaceM4/yttemporal180m/resolve/main/README.md | ---
license: other
---
|
Dus | null | null | null | false | 2 | false | Dus/tokenkorpus | 2022-05-19T12:38:42.000Z | null | false | 7af108daa2733744ddfe3d5efec5fc816d09b06a | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/Dus/tokenkorpus/resolve/main/README.md | ---
license: afl-3.0
---
|
mteb | null | null | STS17 Cross-lingual dataset | false | 703 | false | mteb/sts17-crosslingual-sts | 2022-09-27T19:09:43.000Z | null | false | 9fc37e8c632af1c87a3d23e685d49552a02582a0 | [] | [
"language:ar",
"language:de",
"language:en",
"language:es",
"language:fr",
"language:it",
"language:nl",
"language:ko",
"language:tr"
] | https://huggingface.co/datasets/mteb/sts17-crosslingual-sts/resolve/main/README.md | ---
language:
- ar
- de
- en
- es
- fr
- it
- nl
- ko
- tr
--- |
SoBytes | null | null | null | false | 1 | false | SoBytes/rubrix-test | 2022-05-20T15:50:16.000Z | null | false | ccd0362155182df4688a5504f96e5b0977def8cb | [] | [
"license:unlicense"
] | https://huggingface.co/datasets/SoBytes/rubrix-test/resolve/main/README.md | ---
license: unlicense
---
|
mteb | null | null | null | false | 364 | false | mteb/mtop_intent | 2022-09-27T19:10:23.000Z | null | false | 6299947a7777084cc2d4b64235bf7190381ce755 | [] | [
"language:de",
"language:en",
"language:es",
"language:fr",
"language:hi",
"language:th"
] | https://huggingface.co/datasets/mteb/mtop_intent/resolve/main/README.md | ---
language:
- de
- en
- es
- fr
- hi
- th
--- |
mteb | null | null | null | false | 143 | false | mteb/mtop_domain | 2022-09-27T19:09:50.000Z | null | false | a7e2a951126a26fc8c6a69f835f33a346ba259e3 | [] | [
"language:de",
"language:en",
"language:es",
"language:fr",
"language:hi",
"language:th"
] | https://huggingface.co/datasets/mteb/mtop_domain/resolve/main/README.md | ---
language:
- de
- en
- es
- fr
- hi
- th
--- |
GEM | null | \
@inproceedings{xu2022fairytaleqa,
author={Xu, Ying and Wang, Dakuo and Yu, Mo and Ritchie, Daniel and Yao, Bingsheng and Wu, Tongshuang and Zhang, Zheng and Li, Toby Jia-Jun and Bradford, Nora and Sun, Branda and Hoang, Tran Bao and Sang, Yisi and Hou, Yufang and Ma, Xiaojuan and Yang, Diyi and Peng, Nanyun and... | \
The FairytaleQA dataset focusing on narrative comprehension of kindergarten to eighth-grade students. Generated by educational experts based on an evidence-based theoretical framework, FairytaleQA consists of 10,580 explicit and implicit questions derived from 278 children-friendly stories, covering seven types of n... | false | 60 | false | GEM/FairytaleQA | 2022-10-25T12:58:30.000Z | null | false | b6c76a77359f133f9ee087b65c52a686fada7c15 | [] | [
"arxiv:2203.13947",
"annotations_creators:expert-created",
"language_creators:unknown",
"language:en",
"license:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"task_categories:other",
"tags:question-generation"
] | https://huggingface.co/datasets/GEM/FairytaleQA/resolve/main/README.md | ---
annotations_creators:
- expert-created
language_creators:
- unknown
language:
- en
license:
- unknown
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: FairytaleQA
tags:
- question-generation
---
# Dataset Card for GEM/FairytaleQA
... |
SkolkovoInstitute | null | null | null | false | 194 | false | SkolkovoInstitute/paradetox | 2022-05-23T12:03:19.000Z | null | false | 386ad9bc4cda26b05847ff0d2f3bb8f7f15f0273 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/SkolkovoInstitute/paradetox/resolve/main/README.md | ---
license: afl-3.0
---
# ParaDetox: Detoxification with Parallel Data
This repository contains information about Paradetox dataset -- the first parallel corpus for the detoxification task -- as well as models and evaluation methodology for the detoxification of English texts. The original paper ["ParaDetox: Detoxif... |
jacklin | null | null | null | false | 74 | false | jacklin/msmarco_passage_ranking_official_train | 2022-06-13T21:46:30.000Z | null | false | 7871d03723e417145e9f8eb2f64cb1ed657522ff | [] | [
"arxiv:1611.09268"
] | https://huggingface.co/datasets/jacklin/msmarco_passage_ranking_official_train/resolve/main/README.md | This is the preprocessed training data from msmarco passage(v1) ranking corpus.
*[MS MARCO: A human generated MAchine Reading COmprehension dataset](https://arxiv.org/pdf/1611.09268.pdf)* SPayal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, T... |
mteb | null | null | Tatoeba multilingual test set | false | 894 | false | mteb/tatoeba-bitext-mining | 2022-09-27T19:07:02.000Z | null | false | ed9e4a974f867fd9736efcf222fc3a26487387a5 | [] | [
"language:eng",
"language:sqi",
"language:fry",
"language:kur",
"language:tur",
"language:deu",
"language:nld",
"language:ron",
"language:ang",
"language:ido",
"language:jav",
"language:isl",
"language:slv",
"language:cym",
"language:kaz",
"language:est",
"language:heb",
"language:... | https://huggingface.co/datasets/mteb/tatoeba-bitext-mining/resolve/main/README.md | ---
language:
- eng
- sqi
- fry
- kur
- tur
- deu
- nld
- ron
- ang
- ido
- jav
- isl
- slv
- cym
- kaz
- est
- heb
- gla
- mar
- lat
- bel
- pms
- gle
- pes
- nob
- bul
- cbk
- hun
- uig
- rus
- spa
- hye
- tel
- afr
- mon
- arz
- hrv
- nov
- gsw
- nds
- ukr
- uzb
- lit
- ina
- lfn
- zsm
- ita
- cmn
- lvs
- glg
- ceb
... |
mteb | null | null | BUCC 2018 Shared Task test dataset | false | 166 | false | mteb/bucc-bitext-mining | 2022-09-22T14:17:13.000Z | null | false | d51519689f32196a32af33b075a01d0e7c51e252 | [] | [
"arxiv:2104.06893",
"arxiv:2010.02573",
"arxiv:2003.04807",
"arxiv:2204.08582",
"arxiv:2008.09335",
"arxiv:2104.07081",
"language:de",
"language:en",
"language:fr",
"language:ru",
"language:zh",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"multilinguality:multilingual"
] | https://huggingface.co/datasets/mteb/bucc-bitext-mining/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- de
- en
- fr
- ru
- zh
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
- multilingual
pretty_name: MTEB Benchmark
---
# Dataset Card for MTEB Benchmark
## Dataset Description
- **Homepage:** https://github.com/embeddings-benchmark/mteb-draft
- **R... |
Ruohao | null | todo | PCMR | false | 2 | false | Ruohao/pcmr | 2022-10-25T10:25:57.000Z | coqa | false | fcbc4546b716a7dc23787d45f9ffcc517c17e944 | [] | [
"language:en"
] | https://huggingface.co/datasets/Ruohao/pcmr/resolve/main/README.md | ---
language:
- en
paperswithcode_id: coqa
pretty_name: Conversational Question Answering Challenge
---
# Dataset Card for "coqa"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [La... |
readerbench | null | null | null | false | 2 | false | readerbench/ConversationalAgent-Ro | 2022-05-20T07:04:52.000Z | null | false | e1916c2472d388a9194aac1cb871ef2a1aabcdaa | [] | [
"language:ro"
] | https://huggingface.co/datasets/readerbench/ConversationalAgent-Ro/resolve/main/README.md | ---
language:
- ro
---
# Multi-microworld conversational agent dataset (RASA)
Included microworlds (domains of knowledge):
- generic
- memory assistance
- university guidance |
NLPC-UOM | null | null | null | false | 16 | false | NLPC-UOM/Sinhala-English-Code-Mixed-Code-Switched-Dataset | 2022-09-22T14:15:53.000Z | null | false | f03065371ce62ba8c260c5889ba122100de147a1 | [] | [
"language:si",
"language:en",
"license:mit",
"multilinguality:multilingual",
"task_categories:text-classification",
"task_ids:sentiment-analysis",
"task_ids:hate-speech-detection",
"task_ids:humor-detection",
"task_ids:language-identification",
"task_ids:aspect-identification"
] | https://huggingface.co/datasets/NLPC-UOM/Sinhala-English-Code-Mixed-Code-Switched-Dataset/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- si
- en
license:
- mit
multilinguality:
- multilingual
size_categories: []
source_datasets: []
task_categories:
- text-classification
task_ids:
- sentiment-analysis
- hate-speech-detection
- humor-detection
- language-identification
- aspect-identification... |
hongdijk | null | null | null | false | 2 | false | hongdijk/kluetest | 2022-06-30T08:42:34.000Z | null | false | 314c2ec0f41c5b6333844f38949ff7c22fd5b4b1 | [] | [
"license:other"
] | https://huggingface.co/datasets/hongdijk/kluetest/resolve/main/README.md | ---
license: other
---
|
markscrivo | null | null | null | false | 2 | false | markscrivo/oddson2 | 2022-05-20T11:19:28.000Z | null | false | 7750c021cd2098773aed8c4ee11ec118f216d3b1 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/markscrivo/oddson2/resolve/main/README.md | ---
license: afl-3.0
---
|
strombergnlp | null | @inproceedings{,
title = "Stance Prediction and Claim Verification: An {A}rabic Perspective",
author = "Khouja, Jude",
booktitle = "Proceedings of the Third Workshop on Fact Extraction and {VER}ification ({FEVER})",
year = "2020",
address = "Seattle, USA",
publisher = "Association for Computati... | The dataset is a collection of news titles in arabic along with paraphrased and corrupted titles. The stance prediction version is a 3-class classification task. Data contains three columns: s1, s2, stance. | false | 2 | false | strombergnlp/ans-stance | 2022-10-25T21:45:09.000Z | null | false | 41699cddcb0ce9849d476767b647f6d56aac52b1 | [] | [
"arxiv:2005.10410",
"annotations_creators:crowdsourced",
"language_creators:found",
"language:ar",
"license:apache-2.0",
"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/ans-stance/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- ar
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- fact-checking
pretty_name: ans-stance
tags:
- stance-detection
---
# Dataset... |
tomekkorbak | null | null | null | false | 2 | false | tomekkorbak/pile-chunk-toxicity-scored-3 | 2022-05-20T18:40:31.000Z | null | false | ae127f0d7aeb202279bcc18c547083ec32554879 | [] | [] | https://huggingface.co/datasets/tomekkorbak/pile-chunk-toxicity-scored-3/resolve/main/README.md | A chunk 3 of the Pile (2.2m documents) scored using the Perspective API (on May 18-20 2022) |
null | null | @inproceedings{wang2019learning,
title={Learning Robust Global Representations by Penalizing Local Predictive Power},
author={Wang, Haohan and Ge, Songwei and Lipton, Zachary and Xing, Eric P},
booktitle={Advances in Neural Information Processing Systems},
pages={10506--10518},
y... | ImageNet-Sketch data set consists of 50000 images, 50 images for each of the 1000 ImageNet classes.
We construct the data set with Google Image queries "sketch of __", where __ is the standard class name.
We only search within the "black and white" color scheme. We initially query 100 images for every class,
and then m... | false | 438 | false | imagenet_sketch | 2022-11-03T16:30:44.000Z | imagenet-sketch | false | 2e7507390874bf090ef58b61dbe99bc6247c7a17 | [] | [
"arxiv:1905.13549",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:en",
"license:unknown",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|imagenet-1k",
"task_categories:image-classification",
"task_ids:multi-class-image-clas... | https://huggingface.co/datasets/imagenet_sketch/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- unknown
multilinguality:
- monolingual
paperswithcode_id: imagenet-sketch
pretty_name: ImageNet-Sketch
size_categories:
- 10K<n<100K
source_datasets:
- extended|imagenet-1k
task_categories:
- image-classification
task_i... |
tomekkorbak | null | null | null | false | 47 | false | tomekkorbak/pile-toxicity-balanced3 | 2022-05-20T18:36:32.000Z | null | false | 34dd73d7e190f0b7f36895a97ac25b9b6f8702a3 | [] | [] | https://huggingface.co/datasets/tomekkorbak/pile-toxicity-balanced3/resolve/main/README.md | ## Generation procedure
The dataset was constructed using documents from [the Pile](https://pile.eleuther.ai/) scored using using [Perspective API](http://perspectiveapi.com) toxicity scores.
The procedure was the following:
1. A chunk of the Pile (2.2m documents) was scored using the Perspective API (on May 18-20 20... |
DigitalUmuganda | null | null | null | false | 5 | false | DigitalUmuganda/kinyarwanda-tts-dataset | 2022-05-20T15:24:55.000Z | null | false | 990409f76b7c73da42f216ee4de99d8e02042cd8 | [] | [] | https://huggingface.co/datasets/DigitalUmuganda/kinyarwanda-tts-dataset/resolve/main/README.md | # Kinyarwanda dataset for text to speech model
Kinyarwanda dataset for text to speech model holds data for ai modelling of Kinyarwanda chatbots or other use cases. |
DigitalUmuganda | null | null | null | false | 1 | false | DigitalUmuganda/common-voice-kinyarwanda-text-dataset | 2022-10-25T05:36:26.000Z | null | false | 55c7948f856c532791a4e88a7a73562786e51184 | [] | [
"annotations_creators:crowd-sourced",
"language_creators:Digital Umuganda",
"language:rw",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<3M",
"source_datasets:original",
"task_ids:Language-model"
] | https://huggingface.co/datasets/DigitalUmuganda/common-voice-kinyarwanda-text-dataset/resolve/main/README.md | ---
pretty_name: kinyarwanda text corpus
annotations_creators:
- crowd-sourced
language_creators:
- Digital Umuganda
language:
- rw
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<3M
source_datasets:
- original
task_categories:
- Language-model
- Automatic-Speech-Recognition
task_ids:
- Lang... |
Rexhaif | null | null | null | false | 1 | false | Rexhaif/ru-med-ner | 2022-05-25T20:58:27.000Z | null | false | e964fc1f781ffc86641bc798e3f8d3a8237920c7 | [] | [
"arxiv:2201.06499"
] | https://huggingface.co/datasets/Rexhaif/ru-med-ner/resolve/main/README.md | # Dataset Card for ru-med-ner
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields]... |
scoup123 | null | null | null | false | 2 | false | scoup123/testing | 2022-05-20T19:38:43.000Z | null | false | 744088b586423735de4d4a6fcb79443fea0aeeeb | [] | [] | https://huggingface.co/datasets/scoup123/testing/resolve/main/README.md | annotations_creators:
- found
language_creators:
- found
languages:
- tr
licenses:
- unknown
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: testing _data
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
- sentiment... |
scoup123 | null | null | null | false | 2 | false | scoup123/tr_movie_reviews_training | 2022-05-21T18:03:05.000Z | null | false | d484d8212528d3cbce359c2f632f464a2d881efe | [] | [
"license:other"
] | https://huggingface.co/datasets/scoup123/tr_movie_reviews_training/resolve/main/README.md | ---
license: other
---
annotations_creators:
- found
language_creators:
- found
languages:
- tr
licenses:
- unknown
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: turkish_movie_reviews
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- senti... |
arize-ai | null | null | null | false | 22 | false | arize-ai/movie_reviews_with_context_drift | 2022-07-01T17:26:12.000Z | null | false | 09a707f91f0f0f3650148d7855e01cadc99f99c0 | [] | [
"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/movie_reviews_with_context_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... |
Hongwei | null | null | null | false | 2 | false | Hongwei/CoQG | 2022-05-21T11:42:11.000Z | null | false | cf7da89fb537074eb702eac535e1ebf7f8b455f2 | [] | [] | https://huggingface.co/datasets/Hongwei/CoQG/resolve/main/README.md | Conversational Question Generation (CoQG) |
ccdv | null | @article{zhu2021mediasum,
title={MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization},
author={Zhu, Chenguang and Liu, Yang and Mei, Jie and Zeng, Michael},
journal={arXiv preprint arXiv:2103.06410},
year={2021}
} | MediaSum dataset for summarization.
From paper: "MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization" by C. Zhu et al." | false | 227 | false | ccdv/mediasum | 2022-10-25T10:56:04.000Z | null | false | ee34247ae1e5c82e72e855a9d4f001112ccab46c | [] | [
"language:en",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"task_categories:summarization",
"task_categories:text2text-generation",
"tags:conditional-text-generation"
] | https://huggingface.co/datasets/ccdv/mediasum/resolve/main/README.md | ---
language:
- en
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
task_categories:
- summarization
- text2text-generation
task_ids: []
tags:
- conditional-text-generation
---
# MediaSum dataset for summarization
Summarization dataset copied from [MediaSum: A Large-scale Media Interview Dataset for Dialog... |
charly | null | null | null | false | 2 | false | charly/next_500 | 2022-05-21T13:37:54.000Z | null | false | 8367e40deaa4165e1cf5a4fba387340b1eb280fb | [] | [] | https://huggingface.co/datasets/charly/next_500/resolve/main/README.md | |
Shuchen | null | null | null | false | 1 | false | Shuchen/codeparrot-train | 2022-05-27T11:09:52.000Z | null | false | 5e887d771e3be7663da857920c47aaca01568ebd | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Shuchen/codeparrot-train/resolve/main/README.md | ---
license: apache-2.0
---
|
Shuchen | null | null | null | false | 1 | false | Shuchen/codeparrot-valid | 2022-05-21T14:17:12.000Z | null | false | 6c699ebf43895ce66028e8dbdf20117224421abc | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Shuchen/codeparrot-valid/resolve/main/README.md | ---
license: apache-2.0
---
|
conceptofmind | null | null | null | false | 42 | false | conceptofmind/pile_cc | 2022-08-04T16:55:36.000Z | null | false | b83c0e5179ee8cffb1292f7f72d2948f1aa5515c | [] | [
"arxiv:2101.00027"
] | https://huggingface.co/datasets/conceptofmind/pile_cc/resolve/main/README.md | ## Pile-CC
Common Crawl is a collection of website crawls from 2008 onwards, including raw web pages, metadata and text extractions. Due to the raw nature of the dataset, Common Crawl has the advantage of including text from diverse domains, but at the cost of varying quality data. Due to this, use of Common Crawl typ... |
rajistics | null | null | null | false | 2 | false | rajistics/million-headlines | 2022-07-01T15:51:58.000Z | null | false | 36bbc805ae11c32ad32e9e8a359bdd770c76a40f | [] | [
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"language:en",
"license:cc0-1.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original"
] | https://huggingface.co/datasets/rajistics/million-headlines/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- en
license:
- cc0-1.0
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: Million Headlines
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories: []
task_ids: []
---
# Dataset Card for Million ... |
feyzaakyurek | null | null | null | false | 1 | false | feyzaakyurek/BBNLI | 2022-07-01T15:32:37.000Z | null | false | 89b78d0147c61de45d161c69f9a14beeab69f76f | [] | [
"annotations_creators:expert-generated",
"language_creators:found",
"language_creators:expert-generated",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:text-generation",
"task_ids:natural-language-inference",
... | https://huggingface.co/datasets/feyzaakyurek/BBNLI/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- found
- expert-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: BBNLI
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- natural-language-inference
- question-answerin... |
hidude562 | null | null | null | false | 2 | false | hidude562/Fake-and-real-words | 2022-05-22T01:17:42.000Z | null | false | 6d122e1220b5f19f9037ef86258c38064809adf1 | [] | [] | https://huggingface.co/datasets/hidude562/Fake-and-real-words/resolve/main/README.md | This dataset contains fake words and real words. The fake words are classified as "1" and the real words are classified as "0" |
laion | null | null | null | false | 190 | false | laion/laion2B-en-aesthetic | 2022-05-22T15:31:44.000Z | null | false | 438247963072ba6676f908bdce74e35fd666b456 | [] | [] | https://huggingface.co/datasets/laion/laion2B-en-aesthetic/resolve/main/README.md | |
zhangqiaobit | null | null | null | false | 2 | false | zhangqiaobit/chinese_poetrys | 2022-05-22T14:45:11.000Z | null | false | 571644fedece092323049151970c5f7a0fb0c426 | [] | [] | https://huggingface.co/datasets/zhangqiaobit/chinese_poetrys/resolve/main/README.md | 中国古典诗歌 |
mesolitica | null | null | null | false | 2 | false | mesolitica/ms-wiki | 2022-10-15T09:29:06.000Z | null | false | d2a9338ed20f1abf786fff7d95772b3435cd9521 | [] | [
"language:ms"
] | https://huggingface.co/datasets/mesolitica/ms-wiki/resolve/main/README.md | ---
language: ms
---
# Malay wikipedia
Extract http://dumps.wikimedia.org/mswiki/latest/mswiki-latest-pages-articles.xml.bz2 using https://github.com/attardi/wikiextractor |
laion | null | null | null | false | 3 | false | laion/laion5B-aesthetic-tags-kv | 2022-05-22T15:30:19.000Z | null | false | b641c5ccaf9ea65f6c74beba4a6aa45bc4421da8 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/laion/laion5B-aesthetic-tags-kv/resolve/main/README.md | ---
license: cc-by-4.0
---
cat laion5B-aesthetic-tags-kv-part1 laion5B-aesthetic-tags-kv-part2 > laion5B-aesthetic-tags-kv
|
launch | null | @inproceedings{huang-etal-2021-efficient,
title = "Efficient Attentions for Long Document Summarization",
author = "Huang, Luyang and
Cao, Shuyang and
Parulian, Nikolaus and
Ji, Heng and
Wang, Lu",
booktitle = "Proceedings of the 2021 Conference of the North American Chap... | GovReport long document summarization dataset.
There are three configs:
- plain_text: plain text document-to-summary pairs
- plain_text_with_recommendations: plain text doucment-summary pairs, with "What GAO recommends" included in the summary
- structure: data with section structure | false | 34 | false | launch/gov_report | 2022-11-09T01:58:24.000Z | null | false | 32feeaede49fed993aef070bc4da09263fd0429a | [] | [
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:summarization"
] | https://huggingface.co/datasets/launch/gov_report/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
task_ids: []
pretty_name: GovReport
---
# Dataset Card for GovReport
## Table o... |
launch | null | @inproceedings{cao-wang-2022-hibrids,
title = "{HIBRIDS}: Attention with Hierarchical Biases for Structure-aware Long Document Summarization",
author = "Cao, Shuyang and
Wang, Lu",
booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Pap... | GovReport-QS hierarchical question-summary generation dataset.
There are two configs:
- paragraph: paragraph-level annotated data
- document: aggregated paragraph-level annotated data for the same document | false | 3 | false | launch/gov_report_qs | 2022-11-09T01:58:19.000Z | null | false | 8c230d2333761d71def7a96a6b8ee13d64583552 | [] | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:launch/gov_report",
"task_categories:summarization"
] | https://huggingface.co/datasets/launch/gov_report_qs/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- launch/gov_report
task_categories:
- summarization
task_ids: []
pretty_name: GovReport-QS
---
# Dataset Card for GovRep... |
conceptofmind | null | null | null | false | 4 | false | conceptofmind/pile_hacker_news | 2022-07-04T03:16:39.000Z | null | false | 7051165c182ce2740056a6a446b8e035b1504173 | [] | [
"arxiv:2101.00027"
] | https://huggingface.co/datasets/conceptofmind/pile_hacker_news/resolve/main/README.md | ## HackerNews
Hacker News5 is a link aggregator operated by Y Combiner, a startup incubator, and investment fund.
## Dataset Description
- Homepage: https://pile.eleuther.ai/
- Repository: https://github.com/EleutherAI/the-pile
- Paper: [The Pile: An 800GB Dataset of Diverse Text for Language Modeling](https://arxiv.... |
conceptofmind | null | null | null | false | 10 | false | conceptofmind/pile_wikipedia_en | 2022-07-04T03:13:53.000Z | null | false | 986a53da9be6f2410e1f11d4767c93cf7d022e54 | [] | [
"arxiv:2101.00027"
] | https://huggingface.co/datasets/conceptofmind/pile_wikipedia_en/resolve/main/README.md | ## Wikipedia (en)
The Wikipedia (en) dataset is taken from the Wikipedia site as a standard source of high-quality text for language modeling.
## Dataset Description
- Homepage: https://pile.eleuther.ai/
- Repository: https://github.com/EleutherAI/the-pile
- Paper: [The Pile: An 800GB Dataset of Diverse Text for Lang... |
conceptofmind | null | null | null | false | 2 | false | conceptofmind/pile_open_web_text_2 | 2022-07-04T03:05:46.000Z | null | false | bbd0967cb295f09e871bce7e0e2a6dc6240fe2be | [] | [
"arxiv:2101.00027"
] | https://huggingface.co/datasets/conceptofmind/pile_open_web_text_2/resolve/main/README.md | ## OpenWebText2
The OpenWebText2 component is a web scrape dataset produced by EleutherAI and inspired by WebText [Radford et al., 2019] and OpenWebTextCorpus [Gokaslan and Cohen, 2019].
## Dataset Description
- Homepage: https://pile.eleuther.ai/
- Repository: https://github.com/EleutherAI/the-pile
- Paper: [The Pile... |
conceptofmind | null | null | null | false | 2 | false | conceptofmind/pile_uspto_backgrounds | 2022-07-04T02:24:52.000Z | null | false | e0f63b46cd575a4a979ee781d2fdc18b71e942de | [] | [
"arxiv:2101.00027"
] | https://huggingface.co/datasets/conceptofmind/pile_uspto_backgrounds/resolve/main/README.md | # USPTO Backgrounds
The USPTO Backgrounds dataset is a set of background sections from patents granted by the United States Patent and Trademark Office, derived from its published bulk archives.
## Dataset Description
- Homepage: https://pile.eleuther.ai/
- Repository: https://github.com/EleutherAI/the-pile
- Paper: [... |
conceptofmind | null | null | null | false | 3 | false | conceptofmind/pile_dm_mathematics | 2022-07-04T03:14:56.000Z | null | false | bca32f78b8986d3c6c4b5d5c6c67543ac57a92ce | [] | [
"arxiv:2101.00027"
] | https://huggingface.co/datasets/conceptofmind/pile_dm_mathematics/resolve/main/README.md | ## DM Mathematics
The DeepMind Mathematics dataset consists of a collection of mathematical problems such as algebra, arithmetic, calculus, number theory, and probability, formatted as natural language prompts [Saxton et al., 2019].
## Dataset Description
- Homepage: https://pile.eleuther.ai/
- Repository: https://gi... |
conceptofmind | null | null | null | false | 2 | false | conceptofmind/pile_open_subtitles | 2022-07-04T03:11:54.000Z | null | false | a5a1b239d6f1a8b0640b6f99d6ed80aa38c1b277 | [] | [
"arxiv:2101.00027"
] | https://huggingface.co/datasets/conceptofmind/pile_open_subtitles/resolve/main/README.md | ## OpenSubtitles
The OpenSubtitles dataset is an English language dataset of subtitles from movies and television shows gathered by Tiedemann [2016].
## Dataset Description
- Homepage: https://pile.eleuther.ai/
- Repository: https://github.com/EleutherAI/the-pile
- Paper: [The Pile: An 800GB Dataset of Diverse Text f... |
zhangqiaobit | null | null | null | false | 2 | false | zhangqiaobit/tangshi | 2022-05-23T00:43:07.000Z | null | false | 520b9744772dc84a3fc20f9468a1f59d0f4a2a24 | [] | [] | https://huggingface.co/datasets/zhangqiaobit/tangshi/resolve/main/README.md | 唐诗三百首 |
sijunhe | null | null | null | false | 1 | false | sijunhe/thchs30 | 2022-05-23T01:48:05.000Z | null | false | ed7031d80da0ed7fe51169adfa28dfce8fc657c5 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/sijunhe/thchs30/resolve/main/README.md | ---
license: apache-2.0
---
|
mesolitica | null | null | null | false | 3 | false | mesolitica/rumi-jawi | 2022-10-25T06:47:44.000Z | null | false | c3d817757b080642b5837ffc3081395a9d2010b2 | [] | [
"language:ms",
"task_categories:text2text-generation",
"tags:conditional-text-generation"
] | https://huggingface.co/datasets/mesolitica/rumi-jawi/resolve/main/README.md | ---
language: ms
task_categories:
- text2text-generation
task_ids: []
tags:
- conditional-text-generation
---
# rumi-jawi
Notebooks to gather the dataset at https://github.com/huseinzol05/malay-dataset/tree/master/normalization/rumi-jawi |
NLPC-UOM | null | null | null | false | 3 | false | NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English | 2022-11-14T06:55:30.000Z | null | false | 880ad3cad791d4eb55b9cfb9eb0020ee91220fdd | [] | [] | https://huggingface.co/datasets/NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English/resolve/main/README.md | ### **Dataset summary**
This is a gold-standard benchmark dataset for document alignment, between Sinhala-English-Tamil languages.
Data had been crawled from the following news websites.
Army - https://www.army.lk/<br/>
Hiru -http://www.hirunews.lk.<br/>
ITN - https://www.newsfirst.lk/<br/>
Newsfirst -https://www.itn... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.