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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
davanstrien | null | null | null | false | null | false | davanstrien/vfr | 2021-11-22T17:07:01.000Z | null | true | 8ba0d981dd7c71485c520ca61c0e62ee8e434234 | [] | [
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"languages:en-GB",
"languages:en-US",
"languages:de-DE",
"languages:fr-FR",
"languages:nl-NL",
"licenses:cc0-1.0",
"multilinguality:multilingual",
"size_categories:n<1K",
"source_da... | https://huggingface.co/datasets/davanstrien/vfr/resolve/main/README.md | |
davidwisdom | null | null | null | false | 321 | false | davidwisdom/reddit-randomness | 2021-11-06T23:56:43.000Z | null | false | 01740f7cd9ffa5855819bd828d5dcb03578abf0e | [] | [] | https://huggingface.co/datasets/davidwisdom/reddit-randomness/resolve/main/README.md | # Reddit Randomness Dataset
A dataset I created because I was curious about how "random" r/random really is.
This data was collected by sending `GET` requests to `https://www.reddit.com/r/random` for a few hours on September 19th, 2021.
I scraped a bit of metadata about the subreddits as well.
`randomness_12k_clean.csv... |
debajyotidatta | null | null | null | false | 165 | false | debajyotidatta/biosses | 2022-02-01T01:46:29.000Z | null | false | c0b444a1e1fd9773a8ed19fdf9d1034f6b922ead | [] | [
"license:gpl-3.0"
] | https://huggingface.co/datasets/debajyotidatta/biosses/resolve/main/README.md | ---
license: gpl-3.0
---
|
debatelab | null | null | null | false | 340 | false | debatelab/aaac | 2022-10-24T16:25:56.000Z | aaac | false | 6e8e9947c03e380226bb9b3e2e1839d8bd2c05d2 | [] | [
"arxiv:2110.01509",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:machine-generated",
"language:en",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:summarizati... | https://huggingface.co/datasets/debatelab/aaac/resolve/main/README.md | ---
annotations_creators:
- machine-generated
- expert-generated
language_creators:
- machine-generated
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
- text-retrieval
- text-generation
task_ids:
- parsing
... |
debatelab | null | null | null | false | 334 | false | debatelab/deepa2 | 2022-11-01T08:54:18.000Z | null | false | c82f0d25f7495aa2f25db7fca1febd64f5b4869d | [] | [
"arxiv:2110.01509",
"language_creators:other",
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-retrieval",
"task_categories:text-generation",
"task_ids:text-simplification",
"task_ids:parsing",
"tags:argument-mining",
"tags:summar... | https://huggingface.co/datasets/debatelab/deepa2/resolve/main/README.md | ---
annotations_creators: []
language_creators:
- other
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets: []
task_categories:
- text-retrieval
- text-generation
task_ids:
- text-simplification
- parsing
pretty_name: deepa2
tags:
- argument-mining
- summarization
... |
deepset | null | @misc{möller2021germanquad,
title={GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval},
author={Timo Möller and Julian Risch and Malte Pietsch},
year={2021},
eprint={2104.12741},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | We take GermanQuAD as a starting point and add hard negatives from a dump of the full German Wikipedia following the approach of the DPR authors (Karpukhin et al., 2020). The format of the dataset also resembles the one of DPR. GermanDPR comprises 9275 question/answer pairs in the training set and 1025 pairs in the tes... | false | 393 | false | deepset/germandpr | 2022-10-25T09:07:41.000Z | null | false | 32259c8039d961cd370ed45ed148d296476b2dbc | [] | [
"arxiv:2104.12741",
"language:de",
"multilinguality:monolingual",
"source_datasets:original",
"task_categories:question-answering",
"task_categories:text-retrieval",
"task_ids:extractive-qa",
"task_ids:closed-domain-qa",
"thumbnail:https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/re... | https://huggingface.co/datasets/deepset/germandpr/resolve/main/README.md | ---
language:
- de
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- question-answering
- text-retrieval
task_ids:
- extractive-qa
- closed-domain-qa
thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg
---
![bert_image](https... |
deepset | null | @misc{möller2021germanquad,
title={GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval},
author={Timo Möller and Julian Risch and Malte Pietsch},
year={2021},
eprint={2104.12741},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | In order to raise the bar for non-English QA, we are releasing a high-quality, human-labeled German QA dataset consisting of 13 722 questions, incl. a three-way annotated test set.
The creation of GermanQuAD is inspired by insights from existing datasets as well as our labeling experience from several industry projects... | false | 354 | false | deepset/germanquad | 2022-08-04T10:20:23.000Z | null | false | 0bf850d12abd098da61a0c6793729db0ad994446 | [] | [
"arxiv:2104.12741",
"thumbnail:https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg",
"language:de",
"multilinguality:monolingual",
"source_datasets:original",
"task_categories:question-answering",
"task_categories:text-retrieval",
"task_ids:extrac... | https://huggingface.co/datasets/deepset/germanquad/resolve/main/README.md | ---
thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg
language:
- de
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- question-answering
- text-retrieval
task_ids:
- extractive-qa
- closed-domain-qa
- open-domain-qa
train-e... |
dennlinger | null | null | null | false | 564 | false | dennlinger/klexikon | 2022-10-25T15:03:56.000Z | klexikon | false | a24a4e46e38e652b9ac7a43c53c1f90eead22eea | [] | [
"arxiv:2201.07198",
"annotations_creators:found",
"annotations_creators:expert-generated",
"language_creators:found",
"language_creators:machine-generated",
"language:de",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categor... | https://huggingface.co/datasets/dennlinger/klexikon/resolve/main/README.md | ---
annotations_creators:
- found
- expert-generated
language_creators:
- found
- machine-generated
language:
- de
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- summarization
- text2text-generation
task_ids:
- text-simplification
papers... |
dfgvhxfgv | null | null | null | false | 166 | false | dfgvhxfgv/fghghj | 2021-05-01T13:05:41.000Z | null | false | aaf7320012e1c0f34ed6792b11d23009d5d8df9f | [] | [] | https://huggingface.co/datasets/dfgvhxfgv/fghghj/resolve/main/README.md | |
DFKI-SLT | null | @inproceedings{ding2021few,
title={Few-NERD: A Few-Shot Named Entity Recognition Dataset},
author={Ding, Ning and Xu, Guangwei and Chen, Yulin, and Wang, Xiaobin and Han, Xu and Xie,
Pengjun and Zheng, Hai-Tao and Liu, Zhiyuan},
booktitle={ACL-IJCNLP},
year={2021}
} | Few-NERD is a large-scale, fine-grained manually annotated named entity recognition dataset,
which contains 8 coarse-grained types, 66 fine-grained types, 188,200 sentences, 491,711 entities
and 4,601,223 tokens. Three benchmark tasks are built, one is supervised: Few-NERD (SUP) and the
other two are few-shot: Few-N... | false | 1,009 | false | DFKI-SLT/few-nerd | 2022-10-24T06:32:21.000Z | few-nerd | false | dbf9dd35a495b0fc829c5bb485754dd1d2b3afd4 | [] | [
"annotations_creators:expert-generated",
"language_creators:found",
"language:en",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|wikipedia",
"task_categories:other",
"task_ids:named-entity-recognition",
"tags:structure-prediction"
] | https://huggingface.co/datasets/DFKI-SLT/few-nerd/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|wikipedia
task_categories:
- other
task_ids:
- named-entity-recognition
paperswithcode_id: few-nerd
pretty_name: Few-NERD... |
DFKI-SLT | null | @inproceedings{hennig-etal-2021-mobie,
title = "{M}ob{IE}: A {G}erman Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain",
author = "Hennig, Leonhard and
Truong, Phuc Tran and
Gabryszak, Aleksandra",
booktitle = "Proceedings of the 17th ... | MobIE is a German-language dataset which is human-annotated with 20 coarse- and fine-grained entity types and entity linking information for geographically linkable entities. The dataset consists of 3,232 social media texts and traffic reports with 91K tokens, and contains 20.5K annotated entities, 13.1K of which are l... | false | 320 | false | DFKI-SLT/mobie | 2022-10-24T06:32:09.000Z | mobie | false | 6b1bef2a9b7718d9a345d086ad9750123fa380b4 | [] | [
"annotations_creators:expert-generated",
"language_creators:found",
"language:de",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:other",
"task_ids:named-entity-recognition",
"tags:structure-prediction"
] | https://huggingface.co/datasets/DFKI-SLT/mobie/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- de
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- other
task_ids:
- named-entity-recognition
paperswithcode_id: mobie
pretty_name: MobIE
tags:
- structure... |
dgknrsln | null | null | null | false | 165 | false | dgknrsln/Yorumsepeti | 2021-05-28T14:03:01.000Z | null | false | 346d5602792e17123e02ab4a712c469704ece8f1 | [] | [] | https://huggingface.co/datasets/dgknrsln/Yorumsepeti/resolve/main/README.md | |
dispenst | null | null | null | false | 164 | false | dispenst/jhghdghfd | 2021-03-28T15:24:20.000Z | null | false | 03da9bf8c82e6ebb3ed7cd09afaf1566fdd6320f | [] | [] | https://huggingface.co/datasets/dispenst/jhghdghfd/resolve/main/README.md | <a href="https://jobs.acm.org/jobs/watch-godzilla-vs-kong-2021-full-1818658-cd">.</a>
<a href="https://jobs.acm.org/jobs/123movies-watch-godzilla-vs-kong-online-2021-full-f-r-e-e-1818655-cd">.</a>
<a href="https://jobs.acm.org/jobs/watch-demon-slayer-kimetsu-no-yaiba-mugen-train-2020-f-u-l-l-f-r-e-e-1818661-cd">.</a>
<... |
diwank | null | null | Raw merged dump of Hinglish (hi-EN) datasets. | false | 50 | false | diwank/hinglish-dump | 2022-03-05T14:28:55.000Z | null | false | 4bc6bb8acfa2b1b370b89138f7af792c36712de1 | [] | [
"license:mit"
] | https://huggingface.co/datasets/diwank/hinglish-dump/resolve/main/README.md | ---
license: mit
---
# Hinglish Dump
Raw merged dump of Hinglish (hi-EN) datasets.
## Subsets and features
Subsets:
- crowd_transliteration
- hindi_romanized_dump
- hindi_xlit
- hinge
- hinglish_norm
- news2018
```
_FEATURE_NAMES = [
"target_hinglish",
"source_hindi",
"parall... |
diwank | null | null | Merged and simplified dialog act datasets from the silicone collection. | false | 478 | false | diwank/silicone-merged | 2022-03-06T11:30:57.000Z | null | false | 8ac729015e92e4f02f1ad60e9c595fbeca504e36 | [] | [
"license:mit"
] | https://huggingface.co/datasets/diwank/silicone-merged/resolve/main/README.md | ---
license: mit
---
# diwank/silicone-merged
> Merged and simplified dialog act datasets from the [silicone collection](https://huggingface.co/datasets/silicone/)
All of the subsets of the original collection have been filtered (for errors and ambiguous classes), merged together and grouped into pairs of di... |
dk-crazydiv | null | \ | Metadata information of all the models available on HuggingFace's modelhub | false | 323 | false | dk-crazydiv/huggingface-modelhub | 2021-06-20T14:09:58.000Z | null | false | 5b6f20f66d73f38078bc1e543ee4ee0fe68e2865 | [] | [] | https://huggingface.co/datasets/dk-crazydiv/huggingface-modelhub/resolve/main/README.md | ## Summary
Metadata information of all the models uploaded on [HuggingFace modelhub](https://huggingface.co/models)
Dataset was last updated on 15th June 2021. Contains information on 10,354 models (v1).
Only `train` dataset is provided
#### Update: v1.0.2: Added downloads_last_month and library data
Same dataset is a... |
dlb | null | @misc{Gomes2020,
author = {GOMES, J. R. S.},
title = {Portuguese Language Understanding Evaluation},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\\url{https://github.com/jubs12/PLUE}},
commit = {CURRENT_COMMIT}
}
@inproceedings{wang2019glue,
title={{GLUE}: A Mult... | PLUE: Portuguese Language Understanding Evaluationis a Portuguese translation of
the GLUE benchmark and Scitail using OPUS-MT model and Google Cloud Translation. | false | 2,350 | false | dlb/plue | 2022-10-29T12:19:26.000Z | null | false | 589d0538b2c05ac37dad771f15b5736732468005 | [] | [
"annotations_creators:found",
"language_creators:machine-generated",
"language:pt",
"license:lgpl-3.0",
"multilinguality:monolingual",
"multilinguality:translation",
"size_categories:10K<n<100K",
"source_datasets:extended|glue",
"task_categories:text-classification",
"task_ids:acceptability-classi... | https://huggingface.co/datasets/dlb/plue/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- machine-generated
language:
- pt
license:
- lgpl-3.0
multilinguality:
- monolingual
- translation
size_categories:
- 10K<n<100K
source_datasets:
- extended|glue
task_categories:
- text-classification
task_ids:
- acceptability-classification
- natural-language-infer... |
dragosnicolae555 | null | null | null | false | 320 | false | dragosnicolae555/RoITD | 2022-10-25T09:07:43.000Z | null | false | def33e5a803a8618fba1fc4ba47f7239e53e7ddb | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:ro-RO",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:question-answering",
"task_ids:extractive-qa"
] | https://huggingface.co/datasets/dragosnicolae555/RoITD/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- ro-RO
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: 'RoITD: Romanian IT Question Answering Dataset'
size_categories:
- unknown
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- extractiv... |
dvilasuero | null | null | null | false | 320 | false | dvilasuero/ag_news_error_analysis | 2021-12-29T17:23:31.000Z | null | false | a059319d034bf46bf342c35a1a7d51091b5bcf88 | [] | [] | https://huggingface.co/datasets/dvilasuero/ag_news_error_analysis/resolve/main/README.md | This is a dataset created for testing purposes in the context of this tutorial: https://rubrix.readthedocs.io/en/master/tutorials/08-error_analysis_using_loss.html
You can find more details on section 5. of the tutorial and the corresponding dataset with corrected labels at https://huggingface.co/datasets/Recognai/ag_... |
dvilasuero | null | null | null | false | 319 | false | dvilasuero/ag_news_training_set_losses | 2021-09-21T10:10:25.000Z | null | false | 6b18798ac4b3520d0e6f8da8973490114b48fd8f | [] | [] | https://huggingface.co/datasets/dvilasuero/ag_news_training_set_losses/resolve/main/README.md | # AG News train losses
This dataset is part of an experiment using [Rubrix](https://github.com/recognai/rubrix), an open-source Python framework for human-in-the loop NLP data annotation and management. |
dynabench | null | null | Dynabench.DynaSent is a Sentiment Analysis dataset collected using a
human-and-model-in-the-loop. | false | 501 | false | dynabench/dynasent | 2021-04-29T11:30:24.000Z | null | false | d1e2d5e619bb78fb6dc4d548108c50cb65b8d78c | [] | [
"arxiv:2012.15349",
"arxiv:1803.09010",
"arxiv:1810.03993"
] | https://huggingface.co/datasets/dynabench/dynasent/resolve/main/README.md | # DynaSent: Dynamic Sentiment Analysis Dataset
DynaSent is an English-language benchmark task for ternary (positive/negative/neutral) sentiment analysis. This dataset card is forked from the original [DynaSent Repository](https://github.com/cgpotts/dynasent).
## Contents
* [Citation](#Citation)
* [Dataset files](#da... |
dynabench | null | null | Dynabench.QA is a Reading Comprehension dataset collected using a human-and-model-in-the-loop. | false | 789 | false | dynabench/qa | 2022-07-02T20:17:58.000Z | null | false | 3c4dbdd9119ff5dfeafe06f06f9ae7a6824e02ae | [] | [
"arxiv:2002.00293",
"arxiv:1606.05250",
"annotations_creators:crowdsourced",
"language_creators:found",
"language:en",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:question-answering",
"task_ids:extractive-qa",
... | https://huggingface.co/datasets/dynabench/qa/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- extractive-qa
- open-domain-qa
---
# Dataset Card for Dynabench.QA
## Ta... |
ebrigham | null | null | null | false | 165 | false | ebrigham/asr_files | 2022-01-03T11:29:38.000Z | null | false | 5d7c462f99263b16b72306f21f3f87b2ecdf83ea | [] | [] | https://huggingface.co/datasets/ebrigham/asr_files/resolve/main/README.md | asr files |
echarlaix | null | @inproceedings{hudson2019gqa,
title={Gqa: A new dataset for real-world visual reasoning and compositional question answering},
author={Hudson, Drew A and Manning, Christopher D},
booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
pages={6700--6709},
year={2019}
} | GQA is a new dataset for real-world visual reasoning and compositional question answering,
seeking to address key shortcomings of previous visual question answering (VQA) datasets. | false | 323 | false | echarlaix/gqa-lxmert | 2022-02-09T23:39:45.000Z | null | false | fbeeed5fdfe4f226299f5fa26fda176cb260f333 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/echarlaix/gqa-lxmert/resolve/main/README.md | ---
license: apache-2.0
---
|
echarlaix | null | @inproceedings{hudson2019gqa,
title={Gqa: A new dataset for real-world visual reasoning and compositional question answering},
author={Hudson, Drew A and Manning, Christopher D},
booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
pages={6700--6709},
year={2019}
} | GQA is a new dataset for real-world visual reasoning and compositional question answering,
seeking to address key shortcomings of previous visual question answering (VQA) datasets. | false | 320 | false | echarlaix/gqa | 2022-02-01T10:44:11.000Z | null | false | 5a76297440a02f78d9b6dbd0fea87d62d132676b | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/echarlaix/gqa/resolve/main/README.md | ---
license: apache-2.0
---
|
echarlaix | null | @inproceedings{antol2015vqa,
title={Vqa: Visual question answering},
author={Antol, Stanislaw and Agrawal, Aishwarya and Lu, Jiasen and Mitchell, Margaret and Batra, Dhruv and Zitnick, C Lawrence and Parikh, Devi},
booktitle={Proceedings of the IEEE international conference on computer vision},
pages={2425--243... | VQA is a new dataset containing open-ended questions about images.
These questions require an understanding of vision, language and commonsense knowledge to answer. | false | 323 | false | echarlaix/vqa-lxmert | 2022-02-09T23:41:22.000Z | null | false | 54f2ecab65bd61d27cc66597f7abb8305cfe9a28 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/echarlaix/vqa-lxmert/resolve/main/README.md | ---
license: apache-2.0
---
|
echarlaix | null | @inproceedings{antol2015vqa,
title={Vqa: Visual question answering},
author={Antol, Stanislaw and Agrawal, Aishwarya and Lu, Jiasen and Mitchell, Margaret and Batra, Dhruv and Zitnick, C Lawrence and Parikh, Devi},
booktitle={Proceedings of the IEEE international conference on computer vision},
pages={2425--243... | VQA is a new dataset containing open-ended questions about images.
These questions require an understanding of vision, language and commonsense knowledge to answer. | false | 320 | false | echarlaix/vqa | 2022-02-01T10:45:13.000Z | null | false | 28994091cc52fbeb166d4bd5eb870e9642b5baef | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/echarlaix/vqa/resolve/main/README.md | ---
license: apache-2.0
---
|
edbeeching | null | null | null | false | 168 | false | edbeeching/decision_transformer_atari_dqn_replay | 2022-02-09T13:37:13.000Z | null | false | 687ca55702c1d34eea60167502fa1d20e18eefca | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/edbeeching/decision_transformer_atari_dqn_replay/resolve/main/README.md | ---
license: apache-2.0
---
|
edbeeching | null | null | A subset of the D4RL dataset, used for training Decision Transformers | false | 1,967 | false | edbeeching/decision_transformer_gym_replay | 2022-04-20T12:39:58.000Z | null | false | 4441c97718b1f7e03d05f430226b57f658cc156d | [] | [
"arxiv:2004.07219",
"license:apache-2.0"
] | https://huggingface.co/datasets/edbeeching/decision_transformer_gym_replay/resolve/main/README.md | ---
license: apache-2.0
pretty_name: D4RL-gym
---
# Dataset Card for D4RL-gym
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Dataset Structure](#dataset-structure)
- [Data... |
edbeeching | null | null | null | false | 322 | false | edbeeching/github-issues | 2022-02-11T14:20:42.000Z | null | false | 2a081d71c7613e86fea6a2b80c74326896b3e892 | [] | [] | https://huggingface.co/datasets/edbeeching/github-issues/resolve/main/README.md | annotations_creators:
- other
language_creators:
- crowdsourced
languages:
- en-US
licenses:
- other-my-license
multilinguality:
- monolingual
pretty_name: HuggingFace Github Issues
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-classification
- text-retrieval
task_ids:
- multi-class-cla... |
edsas | null | null | null | false | 166 | false | edsas/fgrdtgrdtdr | 2021-05-06T01:33:59.000Z | null | false | 0ea0800152e4bb1635be7e4f8030919b994cafcf | [] | [] | https://huggingface.co/datasets/edsas/fgrdtgrdtdr/resolve/main/README.md | |
edsas | null | null | null | false | 165 | false | edsas/grttyi | 2021-05-06T01:37:07.000Z | null | false | 9c064b25bc35189d83db7d6d6aa5ec66a2175dec | [] | [] | https://huggingface.co/datasets/edsas/grttyi/resolve/main/README.md | |
ehcalabres | null | null | null | false | 165 | false | ehcalabres/ravdess_speech | 2022-10-24T15:51:41.000Z | null | false | 9e426939f02e1980603736a1413d5aefc0dd3d93 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:cc-by-nc-sa-4.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:audio-classification",
"task_ids:speech-emotion-recognition"
] | https://huggingface.co/datasets/ehcalabres/ravdess_speech/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- audio-classification
task_ids:
- speech-emotion-recognition
---
# Dataset Card for ravdess_speech
## ... |
emre | null | null | null | false | 317 | false | emre/Open_SLR108_Turkish_10_hours | 2022-01-24T14:48:50.000Z | null | false | 7d6af439a45c190e18c437d3525f1965fe9e44e2 | [] | [
"arxiv:2103.16193",
"license:Creative Commons Attribution 4.0 International License",
"tags:robust-speech-event",
"datasets:MediaSpeech"
] | https://huggingface.co/datasets/emre/Open_SLR108_Turkish_10_hours/resolve/main/README.md | ---
license: Creative Commons Attribution 4.0 International License
tags:
- robust-speech-event
datasets:
- MediaSpeech
---
MediaSpeech
Identifier: SLR108
Summary: French, Arabic, Turkish and Spanish media speech datasets
Category: Speech
License: dataset is distributed under the Creative Commons Attribution 4.0 ... |
emrecan | null | null | null | false | 331 | false | emrecan/stsb-mt-turkish | 2022-10-25T10:55:24.000Z | null | false | 79dd9aac442c9a88535865583a3ed4e75d7b47da | [] | [
"language_creators:machine-generated",
"language:tr",
"size_categories:1K<n<10K",
"source_datasets:extended|other-sts-b",
"task_categories:text-classification",
"task_ids:semantic-similarity-scoring",
"task_ids:text-scoring"
] | https://huggingface.co/datasets/emrecan/stsb-mt-turkish/resolve/main/README.md | ---
language_creators:
- machine-generated
language:
- tr
size_categories:
- 1K<n<10K
source_datasets:
- extended|other-sts-b
task_categories:
- text-classification
task_ids:
- semantic-similarity-scoring
- text-scoring
---
# STSb Turkish
Semantic textual similarity dataset for the Turkish language. It is a machine t... |
enelpol | null | null | null | false | 317 | false | enelpol/czywiesz | 2022-10-25T09:07:45.000Z | null | false | 7c235e1da745ff8aef467b19ef6b155642ca8bcf | [] | [
"language:pl",
"license:unknown",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:question-answering",
"task_ids:open-domain-qa"
] | https://huggingface.co/datasets/enelpol/czywiesz/resolve/main/README.md | ---
language:
- pl
license:
- unknown
multilinguality:
- monolingual
pretty_name: Czywiesz
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- open-domain-qa
---
This is an extract of the original [Czywiesz](https://clarin-pl.eu/dspace/handle/11321/39) dataset. I... |
erwanlc | null | null | null | false | 318 | false | erwanlc/cocktails_recipe | 2022-10-25T09:17:00.000Z | null | false | 60a26b89257179967d48dc8de7c24c0c9df76c16 | [] | [
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:2M<n<3M",
"language_bcp47:en",
"language_bcp47:en-US"
] | https://huggingface.co/datasets/erwanlc/cocktails_recipe/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 2M<n<3M
source_datasets: []
task_categories: []
task_ids: []
pretty_name: cocktails_recipe
language_bcp47:
- en
- en-US
---
# Dataset Card for cocktails... |
erwanlc | null | null | null | false | 317 | false | erwanlc/cocktails_recipe_no_brand | 2022-10-25T09:17:08.000Z | null | false | a33b63910d8c33675132dd3a8f285549ef8b4b7b | [] | [
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:2M<n<3M",
"language_bcp47:en",
"language_bcp47:en-US"
] | https://huggingface.co/datasets/erwanlc/cocktails_recipe_no_brand/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 2M<n<3M
source_datasets: []
task_categories: []
task_ids: []
pretty_name: cocktails_recipe_no_brand
language_bcp47:
- en
- en-US
---
# Dataset Card for ... |
espejelomar | null | null | null | false | 322 | false | espejelomar/code_search_net_python_10000_examples | 2022-02-20T03:42:13.000Z | null | false | d0551d78fbb13309bfbfdb942f01e58cbe41a472 | [] | [
"license:cc"
] | https://huggingface.co/datasets/espejelomar/code_search_net_python_10000_examples/resolve/main/README.md | ---
license: cc
---
|
eugenesiow | null | @inproceedings{martin2001database,
title={A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics},
author={Martin, David and Fowlkes, Charless and Tal, Doron and Malik, Jitendra},
booktitle={Proceedings Eighth IEEE International C... | BSD is a dataset used frequently for image denoising and super-resolution.
BSD100 is the testing set of the Berkeley segmentation dataset BSD300. | false | 511 | false | eugenesiow/BSD100 | 2022-10-26T02:20:22.000Z | null | false | 7a20e0a3c51c5e5153a4416c8606a1476565fa74 | [] | [
"annotations_creators:machine-generated",
"language_creators:found",
"license:other",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:other",
"tags:image-super-resolution"
] | https://huggingface.co/datasets/eugenesiow/BSD100/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- found
language: []
license:
- other
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: BSD100
tags:
- image-super-resolution
---
# Dataset Card for BSD100
## Table o... |
eugenesiow | null | @InProceedings{Agustsson_2017_CVPR_Workshops,
author = {Agustsson, Eirikur and Timofte, Radu},
title = {NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
url = "http://www.vision.ee.ethz.ch/~timofter/... | DIV2K dataset: DIVerse 2K resolution high quality images as used for the challenges @ NTIRE (CVPR 2017 and
CVPR 2018) and @ PIRM (ECCV 2018) | false | 2,630 | false | eugenesiow/Div2k | 2022-10-21T04:01:10.000Z | null | false | a6aa2cb45e33a4753d28a373bd1125a321a1c21d | [] | [
"annotations_creators:machine-generated",
"language_creators:found",
"license:other",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:other",
"tags:other-image-super-resolution"
] | https://huggingface.co/datasets/eugenesiow/Div2k/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- found
language: []
license:
- other
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: Div2k
tags:
- other-image-super-resolution
---
# Dataset Card for Div2k
## Tab... |
eugenesiow | null | @misc{shoeiby2019pirm2018,
title={PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study},
author={Mehrdad Shoeiby and Antonio Robles-Kelly and Ran Wei and Radu Timofte},
year={2019},
eprint={1904.00540},
archivePrefix={arXiv},
primaryClass={cs.CV}
} | The PIRM dataset consists of 200 images, which are divided into two equal sets for validation and testing.
These images cover diverse contents, including people, objects, environments, flora, natural scenery, etc.
Images vary in size, and are typically ~300K pixels in resolution.
This dataset was first used for eval... | false | 323 | false | eugenesiow/PIRM | 2022-10-21T04:01:16.000Z | null | false | 0fbc53ce3af34f8283a46d70ed353ccc67085237 | [] | [
"arxiv:1809.07517",
"annotations_creators:machine-generated",
"language_creators:found",
"license:cc-by-nc-sa-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:other",
"tags:other-image-super-resolution"
] | https://huggingface.co/datasets/eugenesiow/PIRM/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- found
language: []
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: PIRM
tags:
- other-image-super-resolution
---
# Dataset Card for PIRM... |
eugenesiow | null | @inproceedings{zeyde2010single,
title={On single image scale-up using sparse-representations},
author={Zeyde, Roman and Elad, Michael and Protter, Matan},
booktitle={International conference on curves and surfaces},
pages={711--730},
year={2010},
organization={Springer}
} | Set14 is an evaluation dataset with 14 RGB images for the image super resolution task. | false | 322 | false | eugenesiow/Set14 | 2022-10-21T04:00:31.000Z | null | false | 5afcf80d267dba61cdfa9a32b1a6fe4cca57b6d7 | [] | [
"annotations_creators:machine-generated",
"language_creators:found",
"license:other",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:other",
"tags:other-image-super-resolution"
] | https://huggingface.co/datasets/eugenesiow/Set14/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- found
language: []
license:
- other
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: Set14
tags:
- other-image-super-resolution
---
# Dataset Card for Set14
## Tab... |
eugenesiow | null | @article{bevilacqua2012low,
title={Low-complexity single-image super-resolution based on nonnegative neighbor embedding},
author={Bevilacqua, Marco and Roumy, Aline and Guillemot, Christine and Alberi-Morel, Marie Line},
year={2012},
publisher={BMVA press}
} | Set5 is a evaluation dataset with 5 RGB images for the image super resolution task. | false | 334 | false | eugenesiow/Set5 | 2022-10-21T03:59:16.000Z | null | false | d8b579a20afde95b4d8ed6bf6383447d33027295 | [] | [
"annotations_creators:machine-generated",
"language_creators:found",
"license:other",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:other",
"tags:other-image-super-resolution"
] | https://huggingface.co/datasets/eugenesiow/Set5/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- found
language: []
license:
- other
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: Set5
tags:
- other-image-super-resolution
---
# Dataset Card for Set5
## Table... |
eugenesiow | null | @inproceedings{martin2001database,
title={A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics},
author={Martin, David and Fowlkes, Charless and Tal, Doron and Malik, Jitendra},
booktitle={Proceedings Eighth IEEE International C... | The Urban100 dataset contains 100 images of urban scenes.
It commonly used as a test set to evaluate the performance of super-resolution models. | false | 323 | false | eugenesiow/Urban100 | 2022-10-21T03:58:53.000Z | null | false | fb0d8a4c6b2471d32bd133de40bb8bb10dde69b9 | [] | [
"annotations_creators:machine-generated",
"language_creators:found",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:other",
"tags:other-image-super-resolution"
] | https://huggingface.co/datasets/eugenesiow/Urban100/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- found
language: []
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: Urban100
tags:
- other-image-super-resolution
---
# Dataset Card for Urban1... |
evageon | null | null | null | false | 320 | false | evageon/IADD | 2022-01-29T11:16:17.000Z | null | false | 288fa596f1a5ceb5c207c8ebdcebc92e15903ce7 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/evageon/IADD/resolve/main/README.md | ---
license: cc-by-4.0
---
# IADD
IADD is an Integrated Dataset for Arabic Dialect iDentification Dataset. It contains 136,317 texts representing 5 regions (Maghrebi (MGH) , Levantine (LEV), Egypt (EGY) , Iraq (IRQ) and Gulf (GLF)) and 9 countries (Algeria, Morocco, Tunisia, Palestine, Jordan, Syria, Lebanon, Egy... |
ewdrtfwe | null | null | null | false | 164 | false | ewdrtfwe/54refyghrtf | 2021-08-29T04:28:25.000Z | null | false | 8f70904d32488f069a348b6e1a11d4992c4b7d4a | [] | [] | https://huggingface.co/datasets/ewdrtfwe/54refyghrtf/resolve/main/README.md | https://www.theathenaforum.org/livefreebelgian-grand-prix-live-stream-reddit-watch-f1-online-2021
|
facebook | null | @article{Pratap2020MLSAL,
title={MLS: A Large-Scale Multilingual Dataset for Speech Research},
author={Vineel Pratap and Qiantong Xu and Anuroop Sriram and Gabriel Synnaeve and Ronan Collobert},
journal={ArXiv},
year={2020},
volume={abs/2012.03411}
} | This is a streamable version of the Multilingual LibriSpeech (MLS) dataset.
The data archives were restructured from the original ones from [OpenSLR](http://www.openslr.org/94)
to make it easier to stream.
MLS dataset is a large multilingual corpus suitable for speech research.
The dataset is derived from read aud... | false | 2,564 | false | facebook/multilingual_librispeech | 2022-08-25T12:24:40.000Z | multilingual-librispeech | false | 2f1bff9cfe832c14ea4be954590653036da77404 | [] | [
"arxiv:2012.03411",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"language:de",
"language:nl",
"language:fr",
"language:it",
"language:es",
"language:pt",
"language:pl",
"license:cc-by-4.0",
"multilinguality:multilingual",
... | https://huggingface.co/datasets/facebook/multilingual_librispeech/resolve/main/README.md | ---
pretty_name: MultiLingual LibriSpeech
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
- expert-generated
language:
- de
- nl
- fr
- it
- es
- pt
- pl
license:
- cc-by-4.0
multilinguality:
- multilingual
paperswithcode_id: multilingual-librispeech
size_categories:
- 100K<n<1M
source_datase... |
fastjt | null | null | null | false | 163 | false | fastjt/fasst | 2022-02-23T11:52:46.000Z | null | false | 11518c2b8a66ab7d01becc9aef0c8717ec566908 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/fastjt/fasst/resolve/main/README.md | ---
license: afl-3.0
---
|
fededeleon | null | null | null | false | 317 | false | fededeleon/CriteriosClasificacion | 2022-02-08T15:35:04.000Z | null | false | 0cdd4e45510c9e5a82bdb350252cf3193f06ca3a | [] | [
"license:mit"
] | https://huggingface.co/datasets/fededeleon/CriteriosClasificacion/resolve/main/README.md | ---
license: mit
---
|
fhamborg | null | @InProceedings{Hamborg2021b,
author = {Hamborg, Felix and Donnay, Karsten},
title = {NewsMTSC: (Multi-)Target-dependent Sentiment Classification in News Articles},
booktitle = {Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021)},
year ... | NewsMTSC: A large, manually annotated dataset for target-dependent sentiment classification in English news articles. | false | 526 | false | fhamborg/news_sentiment_newsmtsc | 2022-10-25T09:20:03.000Z | null | false | 98afeae90eadb629ae70cd2d0fc16f64c2cd2f8d | [] | [
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:sentiment-clas... | https://huggingface.co/datasets/fhamborg/news_sentiment_newsmtsc/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: 'NewsMTSC'
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
lan... |
fighterhitx | null | null | null | false | 164 | false | fighterhitx/test | 2022-02-17T08:37:00.000Z | null | false | 09b22d4131212aef1221099273ff3af68f5f2566 | [] | [
"license:cc"
] | https://huggingface.co/datasets/fighterhitx/test/resolve/main/README.md | ---
license: cc
---
|
fihtrotuld | null | null | null | false | 163 | false | fihtrotuld/asu | 2021-09-08T01:27:31.000Z | null | false | 0e2466e0c1772f4281606a82ebe2571cf02ae0f5 | [] | [] | https://huggingface.co/datasets/fihtrotuld/asu/resolve/main/README.md | name: amazonRDP
on: workflow_dispatch
jobs:
build:
runs-on: windows-latest
timeout-minutes: 9999
steps:
- name: Downloading Ngrok.
run: |
Invoke-WebRequest https://raw.githubusercontent.com/romain09/AWS-RDP/main/ngrok-stable-windows-amd64.zip -OutFile ngrok.zip
Invoke-WebRequ... |
flax-community | null | null | null | false | 317 | false | flax-community/conceptual-12m-multilingual-marian-128 | 2021-07-29T15:49:32.000Z | null | false | 4fc6f2462823552cd046b9784c91494beb60c7cc | [] | [] | https://huggingface.co/datasets/flax-community/conceptual-12m-multilingual-marian-128/resolve/main/README.md | This dataset is created from subset of [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions/). The original dataset has 12M captions but this dataset has around 10M image, caption pairs in different languages with 2.5M unique images. This dataset has captions translated from English to Spanish, Germa... |
flax-community | null | null | null | false | 318 | false | flax-community/conceptual-12m-multilingual-marian | 2021-07-20T19:16:40.000Z | null | false | 699a116eece5e301f0a971238623847afb47b949 | [] | [] | https://huggingface.co/datasets/flax-community/conceptual-12m-multilingual-marian/resolve/main/README.md | This dataset is created from subset of [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions/). The original dataset has 12M captions but this dataset has around 10M image, caption pairs in different languages with 2.5M unique images. This dataset has captions translated from English to Spanish, Germa... |
flax-community | null | null | null | false | 318 | false | flax-community/conceptual-captions-12 | 2021-07-19T12:40:00.000Z | null | false | b619dcc2b2d350f5969d244f837426c8fb6cf753 | [] | [] | https://huggingface.co/datasets/flax-community/conceptual-captions-12/resolve/main/README.md | This file contains English captions from Conceptual 12M dataset by Google. Since we don't own the images, we have provided the link to images, name of downloaded file, and caption for that image in the TSV file.
We would like to thank [Luke Melas](https://github.com/lukemelas) for helping us get the cleaned CC-12M da... |
flax-community | null | @inproceedings{wenzek2020ccnet,
title={CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data},
author={Wenzek, Guillaume and Lachaux, Marie-Anne and Conneau, Alexis and Chaudhary, Vishrav and Guzm{\'a}n, Francisco and Joulin, Armand and Grave, {\'E}douard},
booktitle={Proceedings of The 12th Lan... | German Only Extract from Common Crawl
This Dataset is for pretraining a German Language Model (Unsupervised) or tune a Multilingual Model specifically to German | false | 884 | false | flax-community/german_common_crawl | 2021-07-08T15:19:38.000Z | null | false | 5b0bcd2003180d9f04d6ac66c9f4bd6454b579d3 | [] | [] | https://huggingface.co/datasets/flax-community/german_common_crawl/resolve/main/README.md | The dataset script is more or less ready and one file has correctly been converted so far: `https://opendata.iisys.de/systemintegration/Datasets/CommonCrawl/head/de_head_0000_2015-48.tar.gz`
You can try downloading the file as follows:
```python
from datasets import load_dataset
ds = load_dataset("flax-community/germ... |
flax-community | null | @InProceedings{huggingface:flax-community,
title = Cleaned dataset for Swahili Language Modeling,
authors={Fitsum, Alok, Patrick},
year={2021},
link = https://huggingface.co/datasets/flax-community/swahili-safi
} | Cleaned dataset for Swahili Language Modeling | false | 321 | false | flax-community/swahili-safi | 2021-07-18T12:48:55.000Z | null | false | ff72b5185de624dd23f890509df733b922a8f74d | [] | [] | https://huggingface.co/datasets/flax-community/swahili-safi/resolve/main/README.md | # Swahili-Safi Dataset
A relatively clean dataset for Swahili language modeling, built by combining and cleaning several existing datasets.
Sources include:
```
mc4-sw
oscar-sw
swahili_news
IWSLT
XNLI
flores 101
swahili-lm
gamayun-swahili-minikit
broadcastnews-sw
subset of wikipedia-en translated (using m2m100) to sw... |
flax-sentence-embeddings | null | null | null | false | 329 | false | flax-sentence-embeddings/Gender_Bias_Evaluation_Set | 2021-07-26T04:14:18.000Z | null | false | 9632f418fadedf68670092931d49a8cfdf4a24a6 | [] | [
"arxiv:1906.00591"
] | https://huggingface.co/datasets/flax-sentence-embeddings/Gender_Bias_Evaluation_Set/resolve/main/README.md | **This dataset has been created as part of the Flax/JAX community week for testing the [flax-sentence-embeddings](https://huggingface.co/flax-sentence-embeddings) Sentence Similarity models for Gender Bias but can be used for other use-cases as well related to evaluating Gender Bias.**
The Following Dataset has been c... |
flax-sentence-embeddings | null | null | null | false | 321 | false | flax-sentence-embeddings/paws-jsonl | 2021-07-02T10:19:03.000Z | null | false | 9f0038536e6c4cec83c971f4bf333abd7cb7e163 | [] | [] | https://huggingface.co/datasets/flax-sentence-embeddings/paws-jsonl/resolve/main/README.md | # Introduction
This dataset is a jsonl format for PAWS dataset from: https://github.com/google-research-datasets/paws. It only contains the `PAWS-Wiki Labeled (Final)` and
`PAWS-Wiki Labeled (Swap-only)` training sections of the original PAWS dataset. Duplicates data are removed.
Each line contains a dict in the foll... |
flax-sentence-embeddings | null | @misc{StackExchangeDataset,
author = {Flax Sentence Embeddings Team},
title = {Stack Exchange question pairs},
year = {2021},
howpublished = {https://huggingface.co/datasets/flax-sentence-embeddings/},
} | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | false | 628 | false | flax-sentence-embeddings/stackexchange_math_jsonl | 2022-07-11T13:12:59.000Z | null | false | e05849091faae8301e8d3c8969b51ffc35400cbb | [] | [
"annotations_creators:found",
"language_creators:found",
"language:en",
"license:cc-by-nc-sa-4.0",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:question-answering",
"task_ids:closed-domain-qa"
] | https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_math_jsonl/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- cc-by-nc-sa-4.0
multilinguality:
- multilingual
pretty_name: stackexchange
size_categories:
- unknown
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- closed-domain-qa
---
# Dataset Card Creation Guide
... |
flax-sentence-embeddings | null | @misc{StackExchangeDataset,
author = {Flax Sentence Embeddings Team},
title = {Stack Exchange question pairs},
year = {2021},
howpublished = {https://huggingface.co/datasets/flax-sentence-embeddings/},
} | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | false | 27,387 | false | flax-sentence-embeddings/stackexchange_title_best_voted_answer_jsonl | 2022-07-11T13:13:11.000Z | null | false | 88957a0e825f49aeb2a7bfd828cb46b79010b286 | [] | [
"annotations_creators:found",
"language_creators:found",
"language:en",
"license:cc-by-nc-sa-4.0",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:question-answering",
"task_ids:closed-domain-qa"
] | https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_title_best_voted_answer_jsonl/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- cc-by-nc-sa-4.0
multilinguality:
- multilingual
pretty_name: stackexchange
size_categories:
- unknown
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- closed-domain-qa
---
# Dataset Card Creation Guide
... |
flax-sentence-embeddings | null | null | null | false | 343 | false | flax-sentence-embeddings/stackexchange_title_body_jsonl | 2021-07-02T08:03:58.000Z | null | false | a3d99bf21570ed043e19e41af46f3f19bf4e4bb6 | [] | [] | https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_title_body_jsonl/resolve/main/README.md | jsonl.gz format from https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml
Each line contains a dict in the format: \
{"text": ["title", "body"], "tags": ["tag1", "tag2"]}
The following parameters have been used for filtering: \
min_title_len = 20 \
min_body_len = 20 \
max_body_len = 4096 \
min_s... |
flax-sentence-embeddings | null | @misc{StackExchangeDataset,
author = {Flax Sentence Embeddings Team},
title = {Stack Exchange question pairs},
year = {2021},
howpublished = {https://huggingface.co/datasets/flax-sentence-embeddings/},
} | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | false | 27,312 | false | flax-sentence-embeddings/stackexchange_titlebody_best_and_down_voted_answer_jsonl | 2022-07-11T13:13:18.000Z | null | false | 32151f5480872e6db89ae147e1d727266f574606 | [] | [
"annotations_creators:found",
"language_creators:found",
"language:en",
"license:cc-by-nc-sa-4.0",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:question-answering",
"task_ids:closed-domain-qa"
] | https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_titlebody_best_and_down_voted_answer_jsonl/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- cc-by-nc-sa-4.0
multilinguality:
- multilingual
pretty_name: stackexchange
size_categories:
- unknown
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- closed-domain-qa
---
# Dataset Card Creation Guide
... |
flax-sentence-embeddings | null | @misc{StackExchangeDataset,
author = {Flax Sentence Embeddings Team},
title = {Stack Exchange question pairs},
year = {2021},
howpublished = {https://huggingface.co/datasets/flax-sentence-embeddings/},
} | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | false | 27,451 | false | flax-sentence-embeddings/stackexchange_titlebody_best_voted_answer_jsonl | 2022-07-11T13:13:27.000Z | null | false | 5ce5373dcaed72457e1b61860d7368dca0f10179 | [] | [
"annotations_creators:found",
"language_creators:found",
"language:en",
"license:cc-by-nc-sa-4.0",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:question-answering",
"task_ids:closed-domain-qa"
] | https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_titlebody_best_voted_answer_jsonl/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- cc-by-nc-sa-4.0
multilinguality:
- multilingual
pretty_name: stackexchange
size_categories:
- unknown
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- closed-domain-qa
---
# Dataset Card Creation Guide
... |
flax-sentence-embeddings | null | null | null | false | 165 | false | flax-sentence-embeddings/stackexchange_xml | 2021-07-26T01:38:48.000Z | null | false | 0bea7f6680d8ce12e1bfa6d8762d62ac3d44fd1c | [] | [] | https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml/resolve/main/README.md | This is a dump of the files from
https://archive.org/details/stackexchange
downloaded via torrent on 2021-07-01.
Publication date 2021-06-07 \
Usage Attribution-ShareAlike 4.0 International Creative Commons License by sa \
Topics Stack Exchange Data Dump \
Contributor Stack Exchange Community
Please see the lic... |
flexthink | null | null | Grapheme-to-Phoneme training, validation and test sets | false | 459 | false | flexthink/librig2p-nostress-space | 2022-06-24T01:23:49.000Z | null | false | e0e90b5d29640a6475a72f4e681441ec30c7e6a8 | [] | [] | https://huggingface.co/datasets/flexthink/librig2p-nostress-space/resolve/main/README.md | # librig2p-nostress - Grapheme-To-Phoneme Dataset
This dataset contains samples that can be used to train a Grapheme-to-Phoneme system **without** stress information.
The dataset is derived from the following pre-existing datasets:
* [LibriSpeech ASR Corpus](https://www.openslr.org/12)
* [LibriSpeech Alignments](htt... |
flexthink | null | null | Grapheme-to-Phoneme training, validation and test sets | false | 318 | false | flexthink/librig2p-nostress | 2022-07-27T01:50:52.000Z | null | false | 47638cc54a4f10ae30584a1a26b0c5f3cebff9db | [] | [] | https://huggingface.co/datasets/flexthink/librig2p-nostress/resolve/main/README.md | # librig2p-nostress - Grapheme-To-Phoneme Dataset
This dataset contains samples that can be used to train a Grapheme-to-Phoneme system **without** stress information.
The dataset is derived from the following pre-existing datasets:
* [LibriSpeech ASR Corpus](https://www.openslr.org/12)
* [LibriSpeech Alignments](htt... |
flexthink | null | null | This is a public domain speech dataset consisting of 13,100 short audio
clips of a single speaker reading passages from 7 non-fiction books. A
transcription is provided for each clip. Clips vary in length from 1 to 10
seconds and have a total length of approximately 24 hours. | false | 321 | false | flexthink/ljspeech | 2022-02-06T00:09:16.000Z | null | false | 7367bcc33648be329bbef057cc97d0b83cadee11 | [] | [] | https://huggingface.co/datasets/flexthink/ljspeech/resolve/main/README.md | # The LJ Speech Dataset
Version 1.0
July 5, 2017
https://keithito.com/LJ-Speech-Dataset
# Overview
This is a public domain speech dataset consisting of 13,100 short audio clips
of a single speaker reading passages from 7 non-fiction books. A transcription
is provided for each clip. Clips vary in length from 1 to 10... |
florentgbelidji | null | null | null | false | 319 | false | florentgbelidji/test-covid | 2022-10-25T09:20:22.000Z | null | false | f90c20ee8f3776b3543e91d61602fa2ba92fd187 | [] | [
"annotations_creators:expert-generated",
"language_creators:found",
"language:en-US",
"license:unknown",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification",
"task_ids:sentiment-classification"
] | https://huggingface.co/datasets/florentgbelidji/test-covid/resolve/main/README.md |
---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- en-US
license:
- unknown
multilinguality:
- monolingual
pretty_name: Coronavirus tweets NLP
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- sentiment-classification
---
# Dataset Card ... |
florianbussmann | null | \
@article{vu2020revising,
title={Revising FUNSD dataset for key-value detection in document images},
author={Vu, Hieu M and Nguyen, Diep Thi-Ngoc},
journal={arXiv preprint arXiv:2010.05322},
year={2020}
} | \
FUNSD is one of the limited publicly available datasets for information extraction from document images.
The information in the FUNSD dataset is defined by text areas of four categories ("key", "value", "header", "other", and "background")
and connectivity between areas as key-value relations. Inspecting FUNSD, we... | false | 166 | false | florianbussmann/FUNSD-vu2020revising | 2022-10-25T09:20:31.000Z | null | false | 92c16c659bc64b56cd25c0261f08a8dce56f9983 | [] | [
"arxiv:2010.05322",
"language:en",
"multilinguality:monolingual",
"language_bcp47:en-US"
] | https://huggingface.co/datasets/florianbussmann/FUNSD-vu2020revising/resolve/main/README.md | ---
language:
- en
multilinguality:
- monolingual
language_bcp47:
- en-US
---
# Dataset Card for FUNSD-vu2020revising
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-t... |
formermagic | null | null | null | false | 166 | false | formermagic/github_python_1m | 2022-10-21T16:45:17.000Z | null | false | 0e681c53aca7e7804b820acaa25c5dc7dffb45f2 | [] | [
"annotations_creators:found",
"language_creators:found",
"language:py",
"license:mit",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_ids:language-modeling",
"task_ids:slot-filling",
"task_ids:code-generation"
] | https://huggingface.co/datasets/formermagic/github_python_1m/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- py
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- sequence-modeling
- conditional-text-generation
task_ids:
- language-modeling
- slot-filling
- code-generation
---
# Data... |
formu | null | null | null | false | 165 | false | formu/CVT | 2021-03-26T15:40:33.000Z | null | false | b35819fb5aa8b680a37c11b749dea495bc9bd355 | [] | [] | https://huggingface.co/datasets/formu/CVT/resolve/main/README.md | https://www.geogebra.org/m/w8uzjttg
https://www.geogebra.org/m/gvn7m78g
https://www.geogebra.org/m/arxecanq
https://www.geogebra.org/m/xb69bvww
https://www.geogebra.org/m/apvepfnd
https://www.geogebra.org/m/evmj8ckk
https://www.geogebra.org/m/qxcxwmhp
https://www.geogebra.org/m/p3cxqh6c
https://www.geogebra.org/m/ggrah... |
fractalego | null | null | null | false | 320 | false | fractalego/QA_to_statements | 2021-12-12T17:14:24.000Z | null | false | 1bb44758a559c4c5f9be08f0a6aa1c934a4dd70e | [] | [
"arxiv:1809.02922",
"doi:10.57967/hf/0011"
] | https://huggingface.co/datasets/fractalego/QA_to_statements/resolve/main/README.md | ## Convert conversational QA into statements.
This dataset is a variation on the dataset presented by [Demszky et al](https://arxiv.org/abs/1809.02922).
The main purpose of this work is to convert a series of questions and answers into a full statement representing the last answer. The items in this set are texts as i... |
frtna | null | null | null | false | 318 | false | frtna/es_it_Results-base-OPUS_Tatoeba | 2022-01-04T04:41:07.000Z | null | false | 23f3bc41eccc91a68a3d4c52125e8c1ec0e1045b | [] | [] | https://huggingface.co/datasets/frtna/es_it_Results-base-OPUS_Tatoeba/resolve/main/README.md | - Model: [OPUS-MT](https://huggingface.co/Helsinki-NLP/opus-mt-es-it)
- Tested on: [Tatoeba]()
<br>
- Metric:
- bleu(tensorflow),
- sacrebleu(github->mjpost),
- google_bleu(nltk),
- rouge(google-research),
- meteor(nltk),
- ter(university of Maryland)
<br>
- Retrieved from: [Huggingface](https://huggin... |
frtna | null | @InProceedings{phd,
title = {Open Subtitles Machine Translation Dataset},
author={hmtkvs, Inc.
},
year={2021}
} | This new dataset is designed to be used in the scope of PhD project. | false | 317 | false | frtna/opensubtitles_mt | 2021-12-05T20:53:04.000Z | null | false | c2c0be202618bd1d4f9254c19607a00edd00174c | [] | [] | https://huggingface.co/datasets/frtna/opensubtitles_mt/resolve/main/README.md | annotations_creators:
- expert-generated
language_creators:
- crowdsourced
languages:
- es
- it
licenses:
- cc-by-4.0
multilinguality:
- multilingual
- translation
pretty_name: ''
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- machine-translation |
fulai | null | null | null | false | 165 | false | fulai/DuReader | 2021-04-12T12:07:18.000Z | null | false | 42ad7b4f8e8e8bf31bea20a2d9b9f6fc6b9afd35 | [] | [] | https://huggingface.co/datasets/fulai/DuReader/resolve/main/README.md | 百度lic2020语言与智能信息竞赛数据集。 |
fuliucansheng | null | MiniNLP Data | MiniNLP Data | false | 320 | false | fuliucansheng/mininlp | 2021-06-30T04:44:01.000Z | null | false | 18b53dd97a3710f0a8621b69b23fb16f1b4fa176 | [] | [] | https://huggingface.co/datasets/fuliucansheng/mininlp/resolve/main/README.md |
# Dataset Card for "MiniNLP"
## Dataset Description
### Dataset Summary
This is a mini-nlp dataset for unitorch package.
### Data Instances
#### plain_text
An example of 'train' looks as follows.
```
{
"id": 1,
"num": 3,
"query": "Is this a test?",
"doc": "train test",
"label": "Good",
"... |
gabtan99 | null | null | null | false | 322 | false | gabtan99/pex-conversations | 2022-10-20T19:34:29.000Z | null | false | fc71d4961071a67e78a9c856c3752c400f890d01 | [] | [
"language:tl",
"language:fil",
"license:unknown",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:original",
"task_ids:dialogue-modeling",
"task_ids:language-modeling",
"tags:multi-turn"
] | https://huggingface.co/datasets/gabtan99/pex-conversations/resolve/main/README.md | ---
language:
- tl
- fil
license:
- unknown
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- sequence-modeling
task_ids:
- dialogue-modeling
- language-modeling
pretty_name: PEx Conversations
tags:
- multi-turn
---
# PinoyExchange (PEx) Conversations Dataset
# ... |
gagan3012 | null | null | null | false | 166 | false | gagan3012/vizwiz | 2022-02-15T20:45:30.000Z | null | false | 8b7b1d394f41dce33618c2f73779e856fb54112c | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/gagan3012/vizwiz/resolve/main/README.md | ---
license: apache-2.0
---
|
gar1t | null | null | null | false | 322 | false | gar1t/test | 2021-09-15T17:55:27.000Z | null | false | ae8f1d6bbb8cc1ba94d97b6716507a38a140bf8f | [] | [] | https://huggingface.co/datasets/gar1t/test/resolve/main/README.md | # Test Dataset
Just a test - nothing to see here!
|
gcaillaut | null | null | French Wikipedia dataset for Entity Linking | false | 319 | false | gcaillaut/frwiki_good_pages_el | 2022-07-04T12:36:42.000Z | null | false | e6a41689f90a1148e18c639f2062ecb17fe84b55 | [] | [
"annotations_creators:machine-generated",
"language:fr-FR",
"language:fr",
"license:wtfpl",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:other"
] | https://huggingface.co/datasets/gcaillaut/frwiki_good_pages_el/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators: []
language:
- fr-FR
- fr
license:
- wtfpl
multilinguality:
- monolingual
pretty_name: test
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
---
# Dataset Card for frwiki_good_pages_el
## Dataset Description
... |
german-nlp-group | null | @inproceedings{wenzek2020ccnet,
title={CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data},
author={Wenzek, Guillaume and Lachaux, Marie-Anne and Conneau, Alexis and Chaudhary, Vishrav and Guzm{\'a}n, Francisco and Joulin, Armand and Grave, {\'E}douard},
booktitle={Proceedings of The 12th Lan... | German Only Extract from Common Crawl
This Dataset is for pretraining a German Language Model (Unsupervised) or tune a Multilingual Model specifically to German | false | 329 | false | german-nlp-group/german_common_crawl | 2021-02-09T13:32:27.000Z | null | false | e63bc83e816aa2e46836a1bd77fcd3c11f8b1d9e | [] | [] | https://huggingface.co/datasets/german-nlp-group/german_common_crawl/resolve/main/README.md |
# Dataset Card for GermanCommonCrawl
## 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... |
gfissore | null | null | null | false | 348 | false | gfissore/arxiv-abstracts-2021 | 2022-10-27T17:08:00.000Z | null | false | e4c5fbd4dec8e46a5dc869216fe1c94cc585757a | [] | [
"arxiv:1905.00075",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"language:en",
"license:cc0-1.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"task_categories:summarization",
"task_categories:text-retrieval",
"task_categories:text2text-generation",
... | https://huggingface.co/datasets/gfissore/arxiv-abstracts-2021/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- en
license:
- cc0-1.0
multilinguality:
- monolingual
pretty_name: arxiv-abstracts-2021
size_categories:
- 1M<n<10M
source_datasets: []
task_categories:
- summarization
- text-retrieval
- text2text-generation
task_ids:
- explanat... |
ghadeermobasher | null | @article{krallinger2015chemdner,
title={The CHEMDNER corpus of chemicals and drugs and its annotation principles},
author={Krallinger, Martin and Rabal, Obdulia and Leitner, Florian and Vazquez, Miguel and Salgado, David and Lu, Zhiyong and Leaman, Robert and Lu, Yanan and Ji, Donghong and Lowe, Daniel M and others... | \ | false | 468 | false | ghadeermobasher/BC5CDR-Chemical-Disease | 2022-01-25T10:31:51.000Z | null | false | 8f4deb948be91a72eefc1fff64f5e70d1c7dc1de | [] | [] | https://huggingface.co/datasets/ghadeermobasher/BC5CDR-Chemical-Disease/resolve/main/README.md | annotations_creators:
- expert-generated
language_creators:
- expert-generated
languages:
- en
licenses:
- unknown
multilinguality:
- monolingual
paperswithcode_id: bc4chemd
pretty_name: BC4CHEMD
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- structure-prediction
task_ids:
- named-entity-rec... |
ghomasHudson | null | null | null | false | 330 | false | ghomasHudson/ao3_style_change | 2022-01-09T20:37:28.000Z | null | false | 448370989f17daccc03447dfe16cf588a0075e57 | [] | [] | https://huggingface.co/datasets/ghomasHudson/ao3_style_change/resolve/main/README.md | # AO3 Style Change
A Style Change detection dataset in the style of the PAN21 challenge but on much longer data (>10,000 tokens).
Warning: Due to the fanfiction source, this does contain some NSFW language. |
ghomasHudson | null | null | null | false | 322 | false | ghomasHudson/hotpotExtended | 2022-01-13T21:45:03.000Z | null | false | b8d98fb25c8aeda712dfc382c5875aee2c2da458 | [] | [] | https://huggingface.co/datasets/ghomasHudson/hotpotExtended/resolve/main/README.md | # HotpotQA-extended
> Version of the HotpotQA dataset with full Wikipedia articles.
The HotpotQA dataset consists of questions from crowd workers which require information from multiple Wikipedia articles in order to answer,thus testing the ability for models to perform multi-hop question answering. The data... |
ghomasHudson | null | null | null | false | 322 | false | ghomasHudson/long_contra_pro | 2022-07-07T12:26:30.000Z | null | false | 41ad346644ee5f4284a280a6c001716b5e3d881b | [] | [] | https://huggingface.co/datasets/ghomasHudson/long_contra_pro/resolve/main/README.md | Filtered ContraPro dataset for long document translation. |
ghomasHudson | null | @misc{hudson2022muld,
title{MuLD: The Multitask Long Document Benchmark},
author={G Thomas Hudson, Noura Al Moubayed}
year={2022},
eprint={TODO},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Some of these datasets are directly based on existing datasets. Please cite these works. | MuLD: The Multitask Long Document Benchmark
A set of NLP tasks where each example is over 10,000 tokens long. | false | 808 | false | ghomasHudson/muld | 2022-11-02T12:55:17.000Z | null | false | eb92b66ad9d8b6a59cad50beccfc170346a013c8 | [] | [
"arxiv:2202.07362",
"annotations_creators:found",
"annotations_creators:crowdsourced",
"language_creators:found",
"language:en",
"language:de",
"multilinguality:translation",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"source_datasets:extended|hotpot_qa... | https://huggingface.co/datasets/ghomasHudson/muld/resolve/main/README.md | ---
annotations_creators:
- found
- crowdsourced
language_creators:
- found
language:
- en
- de
license: []
multilinguality:
- translation
- monolingual
size_categories:
- unknown
source_datasets:
- original
- extended|hotpot_qa
- extended|open_subtitles
task_categories:
- question-answering
- summarization
- text-gene... |
ghomasHudson | null | """
_DESCRIPTION = | Very Long version of the scientific papers summarization dataset. Only includes theses over 10,000 tokens long. | false | 317 | false | ghomasHudson/vlsp | 2022-10-25T09:20:37.000Z | null | false | 0458b63225091d3bf55d72492c3aa60419fd6f4b | [] | [
"language:en"
] | https://huggingface.co/datasets/ghomasHudson/vlsp/resolve/main/README.md | ---
language:
- en
---
# Dataset Card for vlsp
## 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)... |
gigant | null | \ | \
This corpus consists of approximately 22 hours of speech recordings. Transcripts are provided for all the recordings. The corpus can be divided into 3 parts:
1. Yaounde
Collected by a team from the U.S. Military Academy's Center for Technology Enhanced Language Learning (CTELL) in 2003 in Yaoundé, Cameroon. It... | false | 405 | false | gigant/african_accented_french | 2022-10-24T17:39:03.000Z | null | false | 643cc6391a43781f688022acd18b872d0789c309 | [] | [
"language:fr",
"license:cc",
"size_categories:10K<n<100K",
"task_categories:automatic-speech-recognition"
] | https://huggingface.co/datasets/gigant/african_accented_french/resolve/main/README.md | ---
language:
- fr
license: cc
size_categories:
fr:
- 10K<n<100K
task_categories:
- automatic-speech-recognition
task_ids: []
pretty_name: African Accented French
---
## Dataset Description
- **Homepage:** http://www.openslr.org/57/
### Dataset Summary
This corpus consists of approximately 22 hours of speech rec... |
gigant | null | \ | \
The M-AILABS Speech Dataset is the first large dataset that we are providing free-of-charge, freely usable as training data for speech recognition and speech synthesis.
Most of the data is based on LibriVox and Project Gutenberg. The training data consist of nearly thousand hours of audio and the text-files in pr... | false | 319 | false | gigant/m-ailabs_speech_dataset_fr | 2022-10-24T17:38:45.000Z | null | false | 71ec8b9e1b5351ea514cdf748c92592b13b14175 | [] | [
"language:fr",
"license:cc",
"size_categories:10K<n<100K",
"task_categories:automatic-speech-recognition"
] | https://huggingface.co/datasets/gigant/m-ailabs_speech_dataset_fr/resolve/main/README.md | ---
language:
- fr
license: cc
size_categories:
fr:
- 10K<n<100K
task_categories:
- automatic-speech-recognition
task_ids: []
pretty_name: M-AILABS Speech Dataset (French)
---
## Dataset Description
- **Homepage:** https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/
### Dataset Summary
The M-AILABS Speech ... |
gigant | null | null | null | false | 318 | false | gigant/ro_corpora_parliament_processed | 2022-02-02T15:29:18.000Z | null | false | 863b81ce584d8e6b20fc8ce509dd53d85f2cb4d7 | [] | [] | https://huggingface.co/datasets/gigant/ro_corpora_parliament_processed/resolve/main/README.md | |
gigant | null | \
@article{Stan2011442,
author = {Adriana Stan and Junichi Yamagishi and Simon King and
Matthew Aylett},
title = {The {R}omanian speech synthesis ({RSS}) corpus:
Building a high quality {HMM}-based speech synthesis
system using a high sampling rate},
... | \
The Romanian speech synthesis (RSS) corpus was recorded in a hemianechoic chamber (anechoic walls and ceiling; floor partially anechoic) at the University of Edinburgh. We used three high quality studio microphones: a Neumann u89i (large diaphragm condenser), a Sennheiser MKH 800 (small diaphragm condenser with very... | false | 320 | false | gigant/romanian_speech_synthesis_0_8_1 | 2022-10-24T17:38:35.000Z | null | false | b4dd8109d62276134bdc035cb274018825428582 | [] | [
"language:ro",
"license:unknown",
"size_categories:1K<n<10K",
"task_categories:automatic-speech-recognition"
] | https://huggingface.co/datasets/gigant/romanian_speech_synthesis_0_8_1/resolve/main/README.md | ---
language:
- ro
license:
- unknown
size_categories:
ro:
- 1K<n<10K
task_categories:
- automatic-speech-recognition
task_ids: []
pretty_name: Romanian Speech Synthesis
---
## Dataset Description
- **Homepage:** https://romaniantts.com/rssdb/
- **Paper:** https://www.sciencedirect.com/science/article/abs/pii/S016... |
giganticode | null | null | null | false | 16 | false | giganticode/java-cmpx-v1 | 2022-07-01T20:32:52.000Z | null | false | 47ca07324dea12a571fa09411bba27e4ede64fa9 | [] | [
"language:java",
"license:mit",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification",
"task_ids:multi-class-classification"
] | https://huggingface.co/datasets/giganticode/java-cmpx-v1/resolve/main/README.md | ---
language:
- java
license:
- mit
multilinguality:
- monolingual
pretty_name:
- java-cmpx
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- multi-class-classification
--- |
giganticode | null | null | null | false | 14 | false | giganticode/java-cmpx | 2022-07-01T20:33:03.000Z | null | false | 0375da233f178717aa85164da93ebd223ba2dda0 | [] | [
"language:java",
"license:mit",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification",
"task_ids:multi-class-classification"
] | https://huggingface.co/datasets/giganticode/java-cmpx/resolve/main/README.md | ---
language:
- java
license:
- mit
multilinguality:
- monolingual
pretty_name:
- java-cmpx
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- multi-class-classification
---
|
gmnlp | null | @article{DBLP:journals/corr/abs-2007-01788,
author = {Antonios Anastasopoulos and
Alessandro Cattelan and
Zi{-}Yi Dou and
Marcello Federico and
Christian Federmann and
Dmitriy Genzel and
Francisco Guzm{\'{a}}n and
... | In response to the on-going crisis, several academic (Carnegie Mellon University,
George Mason University, Johns Hopkins University) and industry (Amazon, Appen,
Facebook, Google, Microsoft, Translated) partners have partnered with the Translators
without Borders to prepare COVID-19 materials for a variety of the wo... | false | 6,015 | false | gmnlp/tico19 | 2021-10-03T19:00:13.000Z | null | false | 55d70dc0b1d1d0b2151c5e22815d823fedac3f2f | [] | [] | https://huggingface.co/datasets/gmnlp/tico19/resolve/main/README.md | The TICO-19 evaluation set provides:
* Predefined dev and test splits. We provide English-XX translation files under both the `dev` and `test` directories.
* The dev set includes 971 sentences, and the test set includes 2100 sentences.
* The corresponding IDs are listed in the `dev.ids` and `test.ids` files.
The form... |
gorkemgoknar | null | null | null | false | 322 | false | gorkemgoknar/tr_ted_talk_translated | 2022-01-13T09:14:54.000Z | null | false | 79987d1537e8f14b28d69214ec5f14704a9edc64 | [] | [
"language:tr",
"tags:dataset",
"tags:turkish",
"tags:ted-multi",
"tags:cleaned",
"license:apache-2.0",
"datasets:ted-multi"
] | https://huggingface.co/datasets/gorkemgoknar/tr_ted_talk_translated/resolve/main/README.md | ---
language:
- tr
thumbnail:
tags:
- dataset
- turkish
- ted-multi
- cleaned
license: apache-2.0
datasets:
- ted-multi
---
# Turkish Ted talk translations
# Created from ted-multi dataset
adding processing steps here if you want another language
```python
#using Turkish as target
target_lang="tr" # change to y... |
gsarti | null | @inproceedings{demattei-etal-2020-changeit,
author = {De Mattei, Lorenzo and Cafagna, Michele and Dell'Orletta, Felice and Nissim, Malvina and Gatt, Albert},
title = {{CHANGE-IT @ EVALITA 2020}: Change Headlines, Adapt News, GEnerate},
booktitle = {Proceedings of Seventh Evaluation Campaign of Natural Langu... | The CHANGE-IT dataset contains approximately 152,000 article-headline pairs, collected from two Italian
newspapers situated at opposite ends of the political spectrum, namely la Repubblica (left) and
Il Giornale (right), with the two newspapers equally represented. The dataset has been used in the context
of the CHA... | false | 475 | false | gsarti/change_it | 2022-10-27T08:37:09.000Z | null | false | ceb0129e499ea5344dba1391c0a046222ddba631 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:it",
"license:cc-by-nc-sa-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:summarization",
"task_categories:text-generation",
"tags:conditional-text-generation",
... | https://huggingface.co/datasets/gsarti/change_it/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- it
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- summarization
- text-generation
task_ids: []
pretty_name: change-it
tags:
- conditional-text-generation
... |
gsarti | null | @article{JMLR:v21:20-074,
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 = {Journal of Machine Learn... | A thoroughly cleaned version of the Italian portion of the multilingual
colossal, cleaned version of Common Crawl's web crawl corpus (mC4) by AllenAI.
Based on Common Crawl dataset: "https://commoncrawl.org".
This is the processed version of Google's mC4 dataset by AllenAI, with further cleaning
detailed in the repo... | false | 1,065 | false | gsarti/clean_mc4_it | 2022-10-23T09:01:21.000Z | mc4 | false | 8281df3f5a2e765a5cc30e4feacac61e94ffdce4 | [] | [
"arxiv:1910.10683",
"arxiv:2203.03759",
"annotations_creators:no-annotation",
"language_creators:found",
"language:it",
"license:odc-by",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"size_categories:10M<n<100M",
"size_categories:100M<n<1B",
"source_datasets:extended",
"task_cate... | https://huggingface.co/datasets/gsarti/clean_mc4_it/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- it
license:
- odc-by
multilinguality:
- monolingual
size_categories:
tiny:
- 1M<n<10M
small:
- 10M<n<100M
medium:
- 10M<n<100M
large:
- 10M<n<100M
full:
- 100M<n<1B
source_datasets:
- extended
task_categories:
- text-ge... |
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