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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a8cc9be686d49bec5783b9556531620875d05eba |
# Dataset Card for CoFiF
## Dataset Description
- **Repository:** https://github.com/CoFiF/Corpus
- **Paper:** https://aclanthology.org/W19-5504/
- **Point of Contact:** Sina Ahmadi (sina.ahmadi@insight-centre.org) and Tobias Daudert (tobias.daudert@insight-centre.org)
### Dataset Summary
CoFiF is... | FrancophonIA/CoFiF | [
"task_categories:fill-mask",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"source_datasets:original",
"language:fr",
"license:cc-by-nc-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["fr"], "license": ["cc-by-nc-4.0"], "multilinguality": ["monolingual"], "source_datasets": ["original"], "task_categories": ["fill-mask"]} | 2023-10-25T15:34:56+00:00 | [] | [
"fr"
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#task_categories-fill-mask #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-original #language-French #license-cc-by-nc-4.0 #region-us
|
# Dataset Card for CoFiF
## Dataset Description
- Repository: URL
- Paper: URL
- Point of Contact: Sina Ahmadi (URL@URL) and Tobias Daudert (tobias.daudert@URL)
### Dataset Summary
CoFiF is the first corpus comprising company reports in the French language. It contains over 188 million tokens in 2... | [
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"### Dataset Summary\n\nCoFiF is the first corpus comprising company reports in the French language. It contains over 188 million tokens... | [
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f8bf264495f105aaae53aa559a1af98875c9f10c | # Dataset Card for `lbox_open`
## Dataset Description
- **Homepage:** `https://lbox.kr`
- **Repository:** `https://github.com/lbox-kr/lbox_open`
- **Point of Contact:** [Wonseok Hwang](mailto:wonseok.hwang@lbox.kr)
### Dataset Summary
A Legal AI Benchmark Dataset from Korean Legal Cases.
### Languages
Korean
###... | lbox/lbox_open | [
"license:cc-by-nc-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"license": "cc-by-nc-4.0"} | 2022-11-09T06:41:26+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
| # Dataset Card for 'lbox_open'
## Dataset Description
- Homepage: 'URL'
- Repository: 'URL
- Point of Contact: Wonseok Hwang
### Dataset Summary
A Legal AI Benchmark Dataset from Korean Legal Cases.
### Languages
Korean
### How to use
For more information about the dataset, please visit <URL
## Licensing Info... | [
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e82279f58c20065502e66ca496ca54a11fdb57cb | The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings. For a gentle introduction to the corpus, see the corpus overview. To access the data, follow the directions given there. Around two-thirds of the data has been elicited using a scenario in which the participants play differe... | leoapolonio/AMI_Meeting_Corpus | [
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#region-us
| The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings. For a gentle introduction to the corpus, see the corpus overview. To access the data, follow the directions given there. Around two-thirds of the data has been elicited using a scenario in which the participants play differe... | [] | [
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317fdc0bede6f6ef0c941c30547395966f87f82a | 轴承故障诊断领域的NER语料，按BIO规则标注。 | leonadase/fdner | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-05-26T11:44:15+00:00 | [] | [] | TAGS
#region-us
| 轴承故障诊断领域的NER语料，按BIO规则标注。 | [] | [
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e39b708dcfb727f0092341fd471c83de9c73864b |
# Dummy dataset to test evaluation framework for SUPERB. | lewtun/asr-preds-test | [
"benchmark:superb",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"benchmark": "superb", "task": "asr"} | 2021-07-28T00:22:53+00:00 | [] | [] | TAGS
#benchmark-superb #region-us
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75cac4251eb0dbc3282eaa5ff95c608032df6628 |
# Batch job
model_id: lewtun/superb-s3prl-osanseviero__hubert_base-asr-cbcd177a
dataset_name: superb
dataset_config: asr
dataset_split: test
dataset_column: file | lewtun/bulk-superb-s3p-superb-49606 | [
"benchmark:superb",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"benchmark": "superb", "task": "asr", "type": "prediction"} | 2021-08-02T15:38:29+00:00 | [] | [] | TAGS
#benchmark-superb #region-us
|
# Batch job
model_id: lewtun/superb-s3prl-osanseviero__hubert_base-asr-cbcd177a
dataset_name: superb
dataset_config: asr
dataset_split: test
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] |
3d61f200cf73279e51fb903b58f80de3fb344769 |
# GEM submissions for gem-sub-03
## Submitting to the benchmark
FILL ME IN
### Submission file format
Please follow this format for your `submission.json` file:
```json
{
"submission_name": "An identifying name of your system",
"param_count": 123, # the number of parameters your system has.
"description": "... | lewtun/gem-sub-03 | [
"benchmark:gem",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "T5-base (Baseline)"} | 2021-12-15T14:34:30+00:00 | [] | [] | TAGS
#benchmark-gem #region-us
|
# GEM submissions for gem-sub-03
## Submitting to the benchmark
FILL ME IN
### Submission file format
Please follow this format for your 'URL' file:
In this case, 'dataset_identifier' is the identifier of the dataset followed by an identifier of the set the outputs were created from, for example '_validation' o... | [
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e3e3c81a4d7cc98d61d3b63b16b25e92008a9ba3 | # GitHub Issues Dataset | lewtun/github-issues-test | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-08-12T22:55:28+00:00 | [] | [] | TAGS
#region-us
| # GitHub Issues Dataset | [
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3bb24dcad2b45b45e20fc0accc93058dcbe8087d | # Dataset Card for GitHub Issues
## Dataset Description
- **Point of Contact:** [Lewis Tunstall](lewis@huggingface.co)
### Dataset Summary
GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets [repository](https://github.com/huggingface/datasets). It is intended fo... | lewtun/github-issues | [
"arxiv:2005.00614",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-10-04T14:49:55+00:00 | [
"2005.00614"
] | [] | TAGS
#arxiv-2005.00614 #region-us
| Dataset Card for GitHub Issues
==============================
Dataset Description
-------------------
* Point of Contact: Lewis Tunstall
### Dataset Summary
GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the Datasets repository. It is intended for educational purposes a... | [
"### Dataset Summary\n\n\nGitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the Datasets repository. It is intended for educational purposes and can be used for semantic search or multilabel text classification. The contents of each GitHub issue are in English and concern the ... | [
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be8eb418f71d209bd05f3f1be13e916c283c6540 |
# Dataset Card for RAFT Submission | lewtun/mnist-preds | [
"benchmark:test",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"benchmark": "test"} | 2021-07-16T08:00:01+00:00 | [] | [] | TAGS
#benchmark-test #region-us
|
# Dataset Card for RAFT Submission | [
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b66c0539f6b2df8daab58de1edb5371b19db5486 |
# Dataset Card for Demo
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | lewtun/my-awesome-dataset | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["conditional-text-generation"], "task_ids": ["summarization"]} | 2022-07-03T04:16:07+00:00 | [] | [
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#annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-apache-2.0 #region-us
|
# Dataset Card for Demo
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal an... | [
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49e6a3b37d4666b3554ea90a6c76e02d07505fec |
Open Minuscule
==============
A little small wee corpus to train little small wee models.
## Dataset Description
### Dataset Summary
This is a raw text corpus, mainly intended for testing purposes.
### Languages
- French
- English
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fie... | lgrobol/openminuscule | [
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"task_ids:language-modeling",
"language_creators:crowdsourced",
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"source_datasets:original",
"language:en",
"language:fr",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language_creators": ["crowdsourced"], "language": ["en", "fr"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["100k<n<1M"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "Open Minuscule", "language_bcp47"... | 2022-10-23T08:28:36+00:00 | [] | [
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#task_categories-text-generation #task_ids-language-modeling #language_creators-crowdsourced #multilinguality-multilingual #size_categories-100k<n<1M #source_datasets-original #language-English #language-French #license-cc-by-4.0 #region-us
|
Open Minuscule
==============
A little small wee corpus to train little small wee models.
## Dataset Description
### Dataset Summary
This is a raw text corpus, mainly intended for testing purposes.
### Languages
- French
- English
## Dataset Structure
### Data Instances
### Data Fields
### Data Splits
... | [
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6bb129c79cbc02860807e12dd09bf9e152c3f73d |
# Dataset Card for "squad"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- ... | lhoestq/custom_squad | [
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"annotations_creators:crowdsourced",
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"language:en",
"license:cc-by-4.0",
... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced", "found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|wikipedia"], "task_categories": ["question-answering"], "task_ids": ["extractive-q... | 2022-10-25T08:50:53+00:00 | [
"1606.05250"
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| Dataset Card for "squad"
========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits Sample Size
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Per... | [
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87ecf163bedca9d80598b528940a9c4f99e14c11 |
# Dataset Card for Demo1
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | lhoestq/demo1 | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"type": "demo"} | 2021-11-08T14:36:41+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Demo1
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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8af5b3fc20bfa28cc0f09ddc1a0c0bcddf906e3a |
This is a test dataset | lhoestq/test | [
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dd797fcf8beacd44987048d5e2606edf1fe0a230 | This is a readme
| lhoestq/test2 | [
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7f14f05cd0effd0d847886ede953e6808c3e3a27 | 带情感标注 新浪微博({0: '喜悦', 1: '愤怒', 2: '厌恶', 3: '低落'}) | liam168/nlp_c4_sentiment | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-07-30T03:05:45+00:00 | [] | [] | TAGS
#region-us
| 带情感标注 新浪微博({0: '喜悦', 1: '愤怒', 2: '厌恶', 3: '低落'}) | [] | [
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7b78af8a83bdeebb85f2d78f883acdb9c947c655 | 仅自用
出自：https://github.com/junzeng-pluto/ChineseSquad
感谢！ | lijingxin/squad_zen | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-09T03:05:31+00:00 | [] | [] | TAGS
#region-us
| 仅自用
出自：URL
感谢！ | [] | [
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6aca57928d2edaffa6f9a29bdecaa789c28d0391 |
# Dataset Card for newsquadfr
## 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... | lincoln/newsquadfr | [
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"source_datasets:original",
"source_datasets:newspaper",
"source_datasets:online",
"license:cc-by-nc-sa-4.0",
"reg... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["private"], "language": ["fr-FR"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original", "newspaper", "online"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa", "open-domain-qa"]} | 2022-08-05T11:05:24+00:00 | [] | [
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| Dataset Card for newsquadfr
===========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal ... | [
"### Dataset Summary\n\n\nnewsquadfr is a small dataset created for Question Answering task. Contexts are paragraphs of articles extracted from nine online french newspaper during year 2020/2021. newsquadfr stands for Newspaper question answering dataset in french. inspired by Piaf and Squad dataset. 2 520 triplets... | [
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464a2f8d553fa88728761e7a29bc83ac8ebebcbe | ## PULPO
PULPO, the Prolific Unannotated Literary Poetry Corpus, is a set of multilingual corpora of verses and stanzas with over 95M words.
See https://arxiv.org/abs/2307.01387.
The following corpora has been downloaded using the [Averell](https://github.com/linhd-postdata/averell/) tool, developed by the [POSTDATA... | linhd-postdata/pulpo | [
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"language:de",
"language:hu",
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] | 2022-03-02T23:29:22+00:00 | {"language": ["es", "en", "fr", "it", "cs", "pt", "ar", "zh", "fi", "de", "hu", "ru"], "size_categories": ["10M<n<100M"], "pretty_name": "Prolific Unannotated Literary Poetry Corpus", "tags": ["poetry"]} | 2023-07-10T12:38:07+00:00 | [
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| ## PULPO
PULPO, the Prolific Unannotated Literary Poetry Corpus, is a set of multilingual corpora of verses and stanzas with over 95M words.
See URL
The following corpora has been downloaded using the Averell tool, developed by the POSTDATA team:
### Spanish
- Disco v3
- Corpus of Spanish Golden-Age Sonnets
- Corpu... | [
"## PULPO\n\nPULPO, the Prolific Unannotated Literary Poetry Corpus, is a set of multilingual corpora of verses and stanzas with over 95M words.\n\nSee URL\n\nThe following corpora has been downloaded using the Averell tool, developed by the POSTDATA team:",
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1b0382449b4273d9de8e6d6ad15ca6873884758a | # C4 200M
# Dataset Summary
c4_200m is a collection of 185 million sentence pairs generated from the cleaned English dataset from C4. This dataset can be used in grammatical error correction (GEC) tasks.
The corruption edits and scripts used to synthesize this dataset is referenced from: [C4_200M Synthetic Dataset](ht... | liweili/c4_200m | [
"task_categories:text-generation",
"source_datasets:allenai/c4",
"language:en",
"grammatical-error-correction",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "source_datasets": ["allenai/c4"], "task_categories": ["text-generation"], "pretty_name": "C4 200M Grammatical Error Correction Dataset", "tags": ["grammatical-error-correction"]} | 2022-10-23T10:00:46+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #source_datasets-allenai/c4 #language-English #grammatical-error-correction #region-us
| # C4 200M
# Dataset Summary
c4_200m is a collection of 185 million sentence pairs generated from the cleaned English dataset from C4. This dataset can be used in grammatical error correction (GEC) tasks.
The corruption edits and scripts used to synthesize this dataset is referenced from: C4_200M Synthetic Dataset
# D... | [
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5b55bbc6818bccd55b604d71bd1b288b46a050a2 | ## Data Description
Long-COVID related articles have been manually collected by information specialists.
Please find further information [here](https://doi.org/10.1093/database/baac048).
## Size
||Training|Development|Test|Total|
|--|--|--|--|--|
Positive Examples|215|76|70|345|
Negative Examples|199|62|68|345|
To... | llangnickel/long-covid-classification-data | [
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"language:en",
"license:cc-by-4.0",
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["text-classification"], "pretty_name": "Dataset containing abst... | 2022-11-24T10:29:58+00:00 | [] | [
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| Data Description
----------------
Long-COVID related articles have been manually collected by information specialists.
Please find further information here.
Size
----
@article{10.1093/database/baac048,
author = {Langnickel, Lisa and Darms, Johannes and Heldt, Katharina and Ducks, Denise and Fluck, Juliane}... | [] | [
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] |
936ce94b2393ccff9d8ab5e37c17c3cba70075f4 | # spoken-punctuation
Spoken punctuation for Speech-to-Text by language and locale.
## Disclaimer
Data collected from Google Cloud Speech-to-Text "Supported spoken punctuation" documentation: https://cloud.google.com/speech-to-text/docs/spoken-punctuation
| loretoparisi/spoken-punctuation | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-24T21:12:49+00:00 | [] | [] | TAGS
#region-us
| # spoken-punctuation
Spoken punctuation for Speech-to-Text by language and locale.
## Disclaimer
Data collected from Google Cloud Speech-to-Text "Supported spoken punctuation" documentation: URL
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ebad3013a8a015074a69a9826d06c38b750e1bce |
# Dataset Card for MeLiSA (Mercado Libre for Sentiment Analysis)
** **NOTE: THIS CARD IS UNDER CONSTRUCTION** **
** **NOTE 2: THE RELEASED VERSION OF THIS DATASET IS A DEMO VERSION.** **
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks... | lpsc-fiuba/melisa | [
"task_categories:text-classification",
"task_ids:language-modeling",
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"license:oth... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["es", "pt"], "license": ["other"], "multilinguality": {"all_languages": ["multilingual"], "es": ["monolingual"], "pt": ["monolingual"]}, "size_categories": {"all_languages": ["100K<n<1M"], "es": ["100K<n<1M"], "pt": ["100K<n<1M"]}, "source... | 2022-10-22T07:52:56+00:00 | [] | [
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| Dataset Card for MeLiSA (Mercado Libre for Sentiment Analysis)
==============================================================
NOTE: THIS CARD IS UNDER CONSTRUCTION
NOTE 2: THE RELEASED VERSION OF THIS DATASET IS A DEMO VERSION.
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supp... | [
"### Dataset Summary\n\n\nWe provide a Mercado Libre product reviews dataset for spanish and portuguese text classification. The dataset contains reviews in these two languages collected between August 2020 and January 2021. Each record in the dataset contains the review content and title, the star rating, the coun... | [
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01646b472299e7f15ee59772d329eb5da3646a9a | # Million English Numbers
A list of a million American English numbers, under a AGPL 3.0 license. This datasheet is inspired by [Datasheets for Datasets](https://arxiv.org/abs/1803.09010).
## Sample
```
$ tail -n 5 million-english-numbers
nine hundred ninety nine thousand nine hundred ninety five
nine hundred ninety n... | lsb/million-english-numbers | [
"arxiv:1803.09010",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-31T07:17:04+00:00 | [
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#arxiv-1803.09010 #region-us
| # Million English Numbers
A list of a million American English numbers, under a AGPL 3.0 license. This datasheet is inspired by Datasheets for Datasets.
## Sample
## Motivation
This dataset was created as a toy sample of text for use in natural language processing, in machine learning.
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c435ecfd98f198f2ea0e741591d347423ff056e7 |
# Dataset Card for World Bank Project Documents
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structur... | lukesjordan/worldbank-project-documents | [
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"task_ids:extractive-qa",
"task_ids:language-modeling",
"task_ids:named-entity-recognition",
"task_ids:... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["table-to-text", "question-answering", "summarization", "text-generation"], "task... | 2022-10-24T19:10:40+00:00 | [] | [
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# Dataset Card for World Bank Project Documents
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
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904b9cef2f649654deef43f0eecb44986395f1bc | # dureader
数据来自千言DuReader数据集，这里是原始地址 [千言数据集：阅读理解](https://aistudio.baidu.com/aistudio/competition/detail/49/0/task-definition)。
> 本数据集只用作学术研究使用。如果本仓库涉及侵权行为，会立即删除。
目前包含以下两个子集：
* DuReader-robust
* DuReader-checklist
```python
from datasets import load_dataset
robust = load_dataset("luozhouyang/dureader", "robust")
... | luozhouyang/dureader | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-29T04:44:53+00:00 | [] | [] | TAGS
#region-us
| # dureader
数据来自千言DuReader数据集，这里是原始地址 千言数据集：阅读理解。
> 本数据集只用作学术研究使用。如果本仓库涉及侵权行为，会立即删除。
目前包含以下两个子集：
* DuReader-robust
* DuReader-checklist
| [
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] |
acc2f0223357b039635bd616443e53c609eff279 | # KgCLUE-Knowledge
The original data is from [CLUEbenchmark/KgCLUE](https://github.com/CLUEbenchmark/KgCLUE).
Here is a JSON version of the original knowledge base.
## Usage
```bash
from datasets import load_dataset
dataset = load_dataset("luozhouyang/kgclue-knowledge")
# or select files
dataset = load_dataset("l... | luozhouyang/kgclue-knowledge | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-24T03:30:49+00:00 | [] | [] | TAGS
#region-us
| # KgCLUE-Knowledge
The original data is from CLUEbenchmark/KgCLUE.
Here is a JSON version of the original knowledge base.
## Usage
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02dc192e9908ab6186e86689cd1a948c9771eefd | # question-answering-datasets
Datasets for Question Answering task!
```yaml
annotations_creators:
- found
language_creators:
- found
languages:
- zh-CN
licenses:
- unknown
multilinguality:
- monolingual
pretty_name: question-answering-datasets
size_categories:
- unknown
source_datasets:
- original
task_categories:
... | luozhouyang/question-answering-datasets | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-26T11:09:10+00:00 | [] | [] | TAGS
#region-us
| # question-answering-datasets
Datasets for Question Answering task!
| [
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3e6ab65f2864931e041f6a82db9b5a6ec2b71ab4 | # CodeParrot 🦜 Dataset Cleaned (train)
Train split of [CodeParrot 🦜 Dataset Cleaned](https://huggingface.co/datasets/lvwerra/codeparrot-clean).
## Dataset structure
```python
DatasetDict({
train: Dataset({
features: ['repo_name', 'path', 'copies', 'size', 'content', 'license', 'hash', 'line_mean', 'line... | codeparrot/codeparrot-clean-train | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-10-10T14:27:50+00:00 | [] | [] | TAGS
#region-us
| # CodeParrot Dataset Cleaned (train)
Train split of CodeParrot Dataset Cleaned.
## Dataset structure
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4db92d2ec0c1b4c41eeb439cfae16854511d9dcd | # CodeParrot 🦜 Dataset Cleaned (valid)
Train split of [CodeParrot 🦜 Dataset Cleaned](https://huggingface.co/datasets/lvwerra/codeparrot-clean).
## Dataset structure
```python
DatasetDict({
train: Dataset({
features: ['repo_name', 'path', 'copies', 'size', 'content', 'license', 'hash', 'line_mean', 'lin... | codeparrot/codeparrot-clean-valid | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-10-10T14:28:51+00:00 | [] | [] | TAGS
#region-us
| # CodeParrot Dataset Cleaned (valid)
Train split of CodeParrot Dataset Cleaned.
## Dataset structure
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35a59fb025bc0a102f7d96eac09d145b896d487b |
# CodeParrot 🦜 Dataset Cleaned
## What is it?
A dataset of Python files from Github. This is the deduplicated version of the [codeparrot](https://huggingface.co/datasets/transformersbook/codeparrot).
## Processing
The original dataset contains a lot of duplicated and noisy data. Therefore, the dataset was cleaned ... | codeparrot/codeparrot-clean | [
"python",
"code",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"tags": ["python", "code"]} | 2022-10-10T14:23:51+00:00 | [] | [] | TAGS
#python #code #region-us
|
# CodeParrot Dataset Cleaned
## What is it?
A dataset of Python files from Github. This is the deduplicated version of the codeparrot.
## Processing
The original dataset contains a lot of duplicated and noisy data. Therefore, the dataset was cleaned with the following steps:
- Deduplication
- Remove exact match... | [
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b5661e6b17396364b2bcf8e68977b0d28e1ebd19 |
# GitHub Code Dataset
## Dataset Description
The GitHub Code dataset consists of 115M code files from GitHub in 32 programming languages with 60 extensions totaling in 1TB of data. The dataset was created from the public GitHub dataset on Google BiqQuery.
### How to use it
The GitHub Code dataset is a very large da... | codeparrot/github-code | [
"task_categories:text-generation",
"task_ids:language-modeling",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:unknown",
"language:code",
"license:other",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": [], "language_creators": ["crowdsourced", "expert-generated"], "language": ["code"], "license": ["other"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "githu... | 2022-10-20T14:01:14+00:00 | [] | [
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#task_categories-text-generation #task_ids-language-modeling #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #size_categories-unknown #language-code #license-other #region-us
| GitHub Code Dataset
===================
Dataset Description
-------------------
The GitHub Code dataset consists of 115M code files from GitHub in 32 programming languages with 60 extensions totaling in 1TB of data. The dataset was created from the public GitHub dataset on Google BiqQuery.
### How to use it
The... | [
"### How to use it\n\n\nThe GitHub Code dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following two lines of code:\n\n\nYou can see that besides the code, repo name, and path also the prog... | [
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5a76387bbac31d8574fd3f977cd0003cf5cf8519 | # Red Wine Dataset 🍷
This dataset contains the red wine dataset found [here](https://github.com/suvoooo/Machine_Learning). See also [this](https://huggingface.co/julien-c/wine-quality) example of a Scikit-Learn model trained on this dataset. | lvwerra/red-wine | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-15T15:55:52+00:00 | [] | [] | TAGS
#region-us
| # Red Wine Dataset
This dataset contains the red wine dataset found here. See also this example of a Scikit-Learn model trained on this dataset. | [
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d91ce8bd583c4cbaad3420e16e1d112e3b5c9113 | # RecipeNLG: A Cooking Recipes Dataset
RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation - Lite version
The dataset contains `7,198` cooking recipes (`>7K`).
It's processed in more careful way and provides more samples than any other dataset in the area.
## How to use
```bash
pip install git+... | m3hrdadfi/recipe_nlg_lite | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-07-03T08:34:56+00:00 | [] | [] | TAGS
#region-us
| # RecipeNLG: A Cooking Recipes Dataset
RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation - Lite version
The dataset contains '7,198' cooking recipes ('>7K').
It's processed in more careful way and provides more samples than any other dataset in the area.
## How to use
Load 'm3hrdadfi/recipe... | [
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"## How to use\n\n\n\nLoad ... | [
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cf4949dc173b1216a9ddc5f2b0d225259a202f17 | # Indonesia News Dataset
## Source
- [Kompas](https://www.kompas.com/)
- [Detik](https://www.detik.com/) (Cooming Soon)
- [Liputan6](https://www.liputan6.com/) (Cooming Soon)
- [Tempo](https://www.tempo.co/) (Cooming Soon)
- [Okezone](https://www.okezone.com/) (Cooming Soon)
- [CNN Indonesia](https://www.cnnindones... | mad/IndonesiaNewsDataset | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-06-24T11:42:33+00:00 | [] | [] | TAGS
#region-us
| # Indonesia News Dataset
## Source
- Kompas
- Detik (Cooming Soon)
- Liputan6 (Cooming Soon)
- Tempo (Cooming Soon)
- Okezone (Cooming Soon)
- CNN Indonesia (Cooming Soon)
- CNBC Indonesia (Cooming Soon)
## Roadmap
1. Web Data Crawling and Indexing
2. NER Model and Sentiment Analysis Model
3. Data Visualizatio... | [
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b2c20f00d794fcc32a597182ef23f64382cb8aae |
# mammut-corpus-venezuela
HuggingFace Dataset for testing purposes. The train dataset is `mammut/mammut-corpus-venezuela`.
## 1. How to use
How to load this dataset directly with the datasets library:
`>>> from datasets import load_dataset`
`>>> dataset = load_dataset("mammut/mammut-corpus-venezuela")`
## 2.... | mammut/mammut-corpus-venezuela-test-set | [
"task_ids:language-modeling",
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": ["es"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["sequence-modeling"], "task_ids": ["language-modeling"], "pr... | 2022-10-22T07:58:48+00:00 | [] | [
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|
# mammut-corpus-venezuela
HuggingFace Dataset for testing purposes. The train dataset is 'mammut/mammut-corpus-venezuela'.
## 1. How to use
How to load this dataset directly with the datasets library:
'>>> from datasets import load_dataset'
'>>> dataset = load_dataset("mammut/mammut-corpus-venezuela")'
## 2.... | [
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f02d7037b1c83ba041f36da8d299553488dd6924 |
# mammut-corpus-venezuela
HuggingFace Dataset
## 1. How to use
How to load this dataset directly with the datasets library:
`>>> from datasets import load_dataset`
`>>> dataset = load_dataset("mammut-corpus-venezuela")`
## 2. Dataset Summary
**mammut-corpus-venezuela** is a dataset for Spanish language mode... | mammut/mammut-corpus-venezuela | [
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:es",
"license:cc-by-nc-nd-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": ["es"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["sequence-modeling"], "task_ids": ["language-modeling"], "pr... | 2022-10-22T08:00:04+00:00 | [] | [
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|
# mammut-corpus-venezuela
HuggingFace Dataset
## 1. How to use
How to load this dataset directly with the datasets library:
'>>> from datasets import load_dataset'
'>>> dataset = load_dataset("mammut-corpus-venezuela")'
## 2. Dataset Summary
mammut-corpus-venezuela is a dataset for Spanish language modeling... | [
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"## 1. How to use\n\nHow to load this dataset directly with the datasets library:\n\n'>>> from datasets import load_dataset' \n'>>> dataset = load_dataset(\"mammut-corpus-venezuela\")'",
"## 2. Dataset Summary\n\nmammut-corpus-venezuela is a dataset for Span... | [
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530b6fdc040b2f9286024f546f5d6a63572fc3b2 | import data from dataset | manishk31/Demo | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-29T08:23:08+00:00 | [] | [] | TAGS
#region-us
| import data from dataset | [] | [
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f7332122c1a298c8b46313e1c5b97358de30b46b | "This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database.
In the original version of the material, the files were organized in ... | marinone94/nst_no | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-04T23:04:16+00:00 | [] | [] | TAGS
#region-us
| "This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database.
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81fb7d117be7ffeffc660de0b33f7a4614e13ac0 | "This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database.
In the original version of the material, the files were organized in ... | marinone94/nst_sv | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-05-22T15:25:46+00:00 | [] | [] | TAGS
#region-us
| "This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database.
In the original version of the material, the files were organized in ... | [] | [
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] | [
6
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44b28e1e4a5213852da5fcbdf41b8ba29a085d20 | # Dataset Card for "dummy_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mariosasko/dummy_test | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"dataset_info": {"features": [{"name": "a", "dtype": "int64"}, {"name": "b", "dtype": "bool"}], "splits": [{"name": "train", "num_bytes": 81250, "num_examples": 10000}], "download_size": 58757, "dataset_size": 81250}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-02T18:23:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dummy_test"
More Information needed | [
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8127852d5534bf35a46d9353a055c8ee5dbb46e9 | annotations_creators:
- machine-generated
language_creators:
- machine-generated
languages:
- english
licenses:
- unknown
multilinguality:
- monolingual
pretty_name: This dataset contains issues from Hugging Face Github
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-classification
- text... | matteopilotto/github-issues | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-12T18:39:01+00:00 | [] | [] | TAGS
#region-us
| annotations_creators:
- machine-generated
language_creators:
- machine-generated
languages:
- english
licenses:
- unknown
multilinguality:
- monolingual
pretty_name: This dataset contains issues from Hugging Face Github
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-classification
- text... | [] | [
"TAGS\n#region-us \n"
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319ff9de80c03bdea535b4838c6041161e35b84b | TRSAv1 (Turkish Sentiment Analysis Version 1) Dataset
This data set has been produced to contribute to Turkish NLP studies.
The dataset consists of a total of 150 thousand samples, 50 thousand negative, 50 thousand positive and 50 thousand neutral.
It can be used in text classification and sentiment analysis studies ... | maydogan/TRSAv1 | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-24T12:36:52+00:00 | [] | [] | TAGS
#region-us
| TRSAv1 (Turkish Sentiment Analysis Version 1) Dataset
This data set has been produced to contribute to Turkish NLP studies.
The dataset consists of a total of 150 thousand samples, 50 thousand negative, 50 thousand positive and 50 thousand neutral.
It can be used in text classification and sentiment analysis studies ... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
92ceb811a149c3f0d306fa2a184fd82859556060 | # Dataset Card for GitHub Issues
## Dataset Description
- **Point of Contact:** [Michael Bateman](michael.bateman.com@gmail.com)
### Dataset Summary
GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets [repository](https://github.com/huggingface/datasets). It is... | mbateman/github-issues | [
"arxiv:2005.00614",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-09T17:56:11+00:00 | [
"2005.00614"
] | [] | TAGS
#arxiv-2005.00614 #region-us
| Dataset Card for GitHub Issues
==============================
Dataset Description
-------------------
* Point of Contact: Michael Bateman
### Dataset Summary
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ba7ba09357e05b2d2f1cc0d45dcb92c9005b9264 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | meghanabhange/hilm141021 | [
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["hi"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["conditional-text-generation"], "task_ids": ["conditional-text-generation-other-next-word... | 2022-10-20T17:37:30+00:00 | [] | [
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# Dataset Card for [Dataset Name]
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42ae7d0b95cafd6594877fa555000b8708ea1706 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
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- [Dataset Structure](#dataset-st... | meghanabhange/hitalm141021 | [
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753f1cdf7b14f086c7c4b9e2e5f9df829a5545fe |
# Dataset Card for [Dataset Name]
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1b80bcb297e13e5582c37dd38d6c74de07a5f22d | Link to original dataset is [https://sites.pitt.edu/~dash/folktexts.html](here).
Link to merged and cleaned version is [https://www.kaggle.com/cuddlefish/fairy-tales?select=merged_clean.txt](here)
annotations_creators:
- found
language_creators:
- found
languages:
- en
licenses:
- cc0-1.0
multilinguality:
- monolingu... | merve/folk-mythology-tales | [
"region:us"
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#region-us
| Link to original dataset is URL
Link to merged and cleaned version is URL
annotations_creators:
- found
language_creators:
- found
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licenses:
- cc0-1.0
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pretty_name: Folklore and Mythology Electronic Texts
size_categories:
- unknown
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956ae34eaf5d5086454b0667c7aa441fdd1fe0f7 | # Dataset Card for poetry
## Table of Contents
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| # Dataset Card for poetry
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340b7b6ca58a930b5d2ffa0c4f25f05055085168 |
Blimp with the coarse categories and recasted as a classification task (Cola format). | tasksource/blimp_classification | [
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6d2c046fd8032a11c5779deb27d2c1880297dac9 |
```
@inproceedings{van2012designing,
title={Designing a scalable crowdsourcing platform},
author={Van Pelt, Chris and Sorokin, Alex},
booktitle={Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data},
pages={765--766},
year={2012}
}
``` | tasksource/crowdflower | [
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1d762d62f0b8f28d1699af28efd177131935e472 | https://github.com/hendrycks/ethics | metaeval/ethics | [
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aec774df2787114414cc592d17e3c7953d1e4a56 |
http://decomp.io/ | tasksource/recast | [
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"passage: TAGS\n#task_categories-text-classification #task_ids-natural-language-inference #annotations_creators-expert-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-apache-2.0 #nli #natural-language-inference #re... |
cfc353d7b4acc4bdd16759b076d1176758454460 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific articles. For more details about the dataset please refer the original paper - [https://aclanthology.org/D09-1137/](https://aclanthology.org/D09-1137/)
Original source of the data - []()
... | midas/citeulike180 | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-23T06:52:23+00:00 | [] | [] | TAGS
#region-us
| Dataset Summary
---------------
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific articles. For more details about the dataset please refer the original paper - URL
Original source of the data -
Dataset Structure
-----------------
### Data Fields
... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
"TAGS\n#region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside ... | [
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"passage: TAGS\n#region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outsi... |
3fcd68096f6029dfefbe7f2b28c3038456e9d689 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from english scientific papers. For more details about the dataset please refer the original paper - [https://dl.acm.org/doi/abs/10.1145/313238.313437](https://dl.acm.org/doi/abs/10.1145/313238.313437)
Original source of the ... | midas/cstr | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-03-05T04:36:34+00:00 | [] | [] | TAGS
#region-us
| Dataset Summary
---------------
A dataset for benchmarking keyphrase extraction and generation techniques from english scientific papers. For more details about the dataset please refer the original paper - URL
Original source of the data -
Dataset Structure
-----------------
### Data Fields
* id: unique ide... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
"TAGS\n#region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside ... | [
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"passage: TAGS\n#region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outsi... |
e5e10a8cd8896bc9d9899625b7af430c062a58b0 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from english news articles. For more details about the dataset please refer the original paper - [https://dl.acm.org/doi/10.5555/1620163.1620205](https://dl.acm.org/doi/10.5555/1620163.1620205)
Original source of the data - [... | midas/duc2001 | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-23T06:13:06+00:00 | [] | [] | TAGS
#region-us
| Dataset Summary
---------------
A dataset for benchmarking keyphrase extraction and generation techniques from english news articles. For more details about the dataset please refer the original paper - URL
Original source of the data -
Dataset Structure
-----------------
### Data Fields
* id: unique identif... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
"TAGS\n#region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside ... | [
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"passage: TAGS\n#region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outsi... |
9617780e99705df88a4cb239174c86b9d8d8300f | A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of English scientific papers. For more details about the dataset please refer the original paper - [https://dl.acm.org/doi/pdf/10.3115/1119355.1119383](https://dl.acm.org/doi/pdf/10.3115/1119355.1119383).
Data source - [https://gi... | midas/inspec | [
"arxiv:1910.08840",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-03-05T03:08:37+00:00 | [
"1910.08840"
] | [] | TAGS
#arxiv-1910.08840 #region-us
| A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of English scientific papers. For more details about the dataset please refer the original paper - URL
Data source - URL
Dataset Summary
---------------
The Inspec dataset was originally proposed by *Hulth* in the paper title... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
"TAGS\n#arxiv-1910.08840 #region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O s... | [
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"passage: TAGS\n#arxiv-1910.08840 #region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. ... |
0dbf0783978f44aa6a03acaf28868757bcbac0a4 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of english scientific papers. For more details about the dataset please refer the original paper - [https://aclanthology.org/D14-1150.pdf](https://aclanthology.org/D14-1150.pdf)
Original source of the data - [](... | midas/kdd | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-03-05T04:06:21+00:00 | [] | [] | TAGS
#region-us
| Dataset Summary
---------------
A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of english scientific papers. For more details about the dataset please refer the original paper - URL
Original source of the data -
Dataset Structure
-----------------
### Data Fields
* id:... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
"TAGS\n#region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside ... | [
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"passage: TAGS\n#region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outsi... |
a871c01a55b2421ecb94fc6569c341746f673220 | A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of English scientific papers. For more details about the dataset please refer the original paper - [http://memray.me/uploads/acl17-keyphrase-generation.pdf](http://memray.me/uploads/acl17-keyphrase-generation.pdf).
Data source - [... | midas/kp20k | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2023-09-25T04:14:59+00:00 | [] | [] | TAGS
#region-us
| A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of English scientific papers. For more details about the dataset please refer the original paper - URL
Data source - URL
Dataset Summary
---------------
Dataset Structure
-----------------
Dataset Statistics
---------------... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
"TAGS\n#region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside ... | [
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"passage: TAGS\n#region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outsi... |
0532a67451ae1be349ee6a6c62b17c81f6cefab2 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from english news articles. For more details about the dataset please refer the original paper - [https://arxiv.org/abs/1306.4886](https://arxiv.org/abs/1306.4886)
Original source of the data - []()
## Dataset Structure
###... | midas/kpcrowd | [
"arxiv:1306.4886",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-12T05:52:48+00:00 | [
"1306.4886"
] | [] | TAGS
#arxiv-1306.4886 #region-us
| Dataset Summary
---------------
A dataset for benchmarking keyphrase extraction and generation techniques from english news articles. For more details about the dataset please refer the original paper - URL
Original source of the data -
Dataset Structure
-----------------
### Dataset Statistics
Table 1: Stat... | [
"### Dataset Statistics\n\n\nTable 1: Statistics on the length of the extractive keyphrases for Train, Test splits of kpcrowd dataset.\n\n\n\nTable 2: Statistics on the length of the abstractive keyphrases for Train, Test splits of kpcrowd dataset.\n\n\n\nTable 3: General statistics of the kpcrowd dataset.",
"###... | [
"TAGS\n#arxiv-1306.4886 #region-us \n",
"### Dataset Statistics\n\n\nTable 1: Statistics on the length of the extractive keyphrases for Train, Test splits of kpcrowd dataset.\n\n\n\nTable 2: Statistics on the length of the abstractive keyphrases for Train, Test splits of kpcrowd dataset.\n\n\n\nTable 3: General s... | [
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"passage: TAGS\n#arxiv-1306.4886 #region-us \n### Dataset Statistics\n\n\nTable 1: Statistics on the length of the extractive keyphrases for Train, Test splits of kpcrowd dataset.\n\n\n\nTable 2: Statistics on the length of the abstractive keyphrases for Train, Test splits of kpcrowd dataset.\n\n\n\nTable 3: Genera... |
e8dc9af01653631fad51515b77dd39166445b732 |
A dataset for benchmarking keyphrase extraction and generation techniques from news. For more details about the dataset please refer the original paper - [https://aclanthology.org/W19-8617.pdf](https://aclanthology.org/W19-8617.pdf)
Original source of the data - [https://github.com/ygorg/KPTimes](https://github.com/y... | midas/kptimes | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-06T06:21:58+00:00 | [] | [] | TAGS
#region-us
| A dataset for benchmarking keyphrase extraction and generation techniques from news. For more details about the dataset please refer the original paper - URL
Original source of the data - URL
Dataset Summary
---------------
KPTimes is a large scale dataset comprising of 279,923 news ... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
"TAGS\n#region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside ... | [
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"passage: TAGS\n#region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outsi... |
6657c24632b70981f244b7f3d0abfa1d07b62dbe | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific papers. For more details about the dataset please refer the original paper - [https://www.semanticscholar.org/paper/Large-Dataset-for-Keyphrases-Extraction-Krapivin-Autaeu/2c56421ff3c2a698... | midas/krapivin | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-10T06:52:51+00:00 | [] | [] | TAGS
#region-us
| Dataset Summary
---------------
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific papers. For more details about the dataset please refer the original paper - URL
Original source of the data -
Dataset Structure
-----------------
### Data Fields
* id... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
"TAGS\n#region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside ... | [
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"passage: TAGS\n#region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outsi... |
5e73606ea32a9456e235015e11241a5dfd5da7d6 | A dataset for benchmarking keyphrase extraction and generation techniques from long document English scientific papers. For more details about the dataset please refer the original paper - []().
Data source - []()
## Dataset Summary
## Dataset Structure
### Data Fields
- **id**: unique identifier of the documen... | midas/ldkp10k | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-04-02T15:49:45+00:00 | [] | [] | TAGS
#region-us
| A dataset for benchmarking keyphrase extraction and generation techniques from long document English scientific papers. For more details about the dataset please refer the original paper - .
Data source -
Dataset Summary
---------------
Dataset Structure
-----------------
### Data Fields
* id: unique identif... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* sections: list of all the sections present in the document.\n* sec\\_text: list of white space separated list of words present in each section.\n* sec\\_bio\\_tags: list of BIO tags of white space separated list of words present in each section.\n* e... | [
"TAGS\n#region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* sections: list of all the sections present in the document.\n* sec\\_text: list of white space separated list of words present in each section.\n* sec\\_bio\\_tags: list of BIO tags of white space separated list of words pres... | [
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"passage: TAGS\n#region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* sections: list of all the sections present in the document.\n* sec\\_text: list of white space separated list of words present in each section.\n* sec\\_bio\\_tags: list of BIO tags of white space separated list of words p... |
6f86fdd8ffcf1635ee7d47c65cf25ac7efd51f75 | A dataset for benchmarking keyphrase extraction and generation techniques from long document English scientific papers. For more details about the dataset please refer the original paper - []().
Data source - []()
## Dataset Summary
## Dataset Structure
### Data Fields
- **id**: unique identifier of the documen... | midas/ldkp3k | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-09-27T17:29:25+00:00 | [] | [] | TAGS
#region-us
| A dataset for benchmarking keyphrase extraction and generation techniques from long document English scientific papers. For more details about the dataset please refer the original paper - .
Data source -
Dataset Summary
---------------
Dataset Structure
-----------------
### Data Fields
* id: unique identif... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* sections: list of all the sections present in the document.\n* sec\\_text: list of white space separated list of words present in each section.\n* sec\\_bio\\_tags: list of BIO tags of white space separated list of words present in each section.\n* e... | [
"TAGS\n#region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* sections: list of all the sections present in the document.\n* sec\\_text: list of white space separated list of words present in each section.\n* sec\\_bio\\_tags: list of BIO tags of white space separated list of words pres... | [
6,
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"passage: TAGS\n#region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* sections: list of all the sections present in the document.\n* sec\\_text: list of white space separated list of words present in each section.\n* sec\\_bio\\_tags: list of BIO tags of white space separated list of words p... |
690ccba1cd830e0343e7eaec3a0c22bfd88dd949 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific papers. For more details about the dataset please refer the original paper - [https://www.comp.nus.edu.sg/~kanmy/papers/icadl2007.pdf](https://www.comp.nus.edu.sg/~kanmy/papers/icadl2007.p... | midas/nus | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-03-05T03:35:59+00:00 | [] | [] | TAGS
#region-us
| Dataset Summary
---------------
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific papers. For more details about the dataset please refer the original paper - URL
Original source of the data -
Dataset Structure
-----------------
### Data Fields
* id... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
"TAGS\n#region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside ... | [
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"passage: TAGS\n#region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outsi... |
8982466c7faa3c4aab9d117b6f238bc62d523c2f | ## Dataset Summary
Original source - [https://github.com/microsoft/OpenKP](https://github.com/microsoft/OpenKP)
## Dataset Structure
### Data Fields
- **id**: unique identifier of the document.
- **document**: Whitespace separated list of words in the document.
- **doc_bio_tags**: BIO tags for each word in the docu... | midas/openkp | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-09T17:01:43+00:00 | [] | [] | TAGS
#region-us
| Dataset Summary
---------------
Original source - URL
Dataset Structure
-----------------
### Data Fields
* id: unique identifier of the document.
* document: Whitespace separated list of words in the document.
* doc\_bio\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase a... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
"TAGS\n#region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside ... | [
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"passage: TAGS\n#region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outsi... |
f2dbc6b1aea3c53dfe27b6471158c3ccaaaeb091 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific papers. For more details about the dataset please refer the original paper - [https://www.semanticscholar.org/paper/Keyphrase-Extraction-from-Single-Documents-in-the-Schutz/08b75d31a90f206... | midas/pubmed | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-03-05T03:59:56+00:00 | [] | [] | TAGS
#region-us
| Dataset Summary
---------------
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific papers. For more details about the dataset please refer the original paper - URL
Original source of the data -
Dataset Structure
-----------------
### Data Fields
* ... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
"TAGS\n#region-us \n",
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside ... | [
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"passage: TAGS\n#region-us \n### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outsi... |
7933201e69f12fa015074ec28bc6c6721880c299 |
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific articles. For more details about the dataset please refer the original paper - [https://dl.acm.org/doi/10.5555/1859664.1859668](https://dl.acm.org/doi/10.5555/1859664.1859668)
Original source of the data - ... | midas/semeval2010 | [
"arxiv:1910.08840",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-03-05T03:24:16+00:00 | [
"1910.08840"
] | [] | TAGS
#arxiv-1910.08840 #region-us
| A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific articles. For more details about the dataset please refer the original paper - URL
Original source of the data - URL
Dataset Summary
---------------
The Semeval-2010 dataset was originally proposed by *... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
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d0e60069bbcd0c0bdd4127eb52494e928b765103 | A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of english scientific articles. For more details about the dataset please refer the original paper - [https://arxiv.org/abs/1704.02853](https://arxiv.org/abs/1704.02853)
Original source of the data - [https://scienceie.github.io/]... | midas/semeval2017 | [
"arxiv:1704.02853",
"arxiv:1910.08840",
"region:us"
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#arxiv-1704.02853 #arxiv-1910.08840 #region-us
| A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of english scientific articles. For more details about the dataset please refer the original paper - URL
Original source of the data - URL
Dataset Summary
---------------
The Semeval-2017 dataset was originally proposed by *I... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
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e1242dcb068c73051541188b911aa0ea2f297e02 | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from abstract of english scientific articles. For more details about the dataset please refer the original paper - [https://aclanthology.org/D14-1150/](https://aclanthology.org/D14-1150/)
Original source of the data - []()
... | midas/www | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-11T22:49:09+00:00 | [] | [] | TAGS
#region-us
| Dataset Summary
---------------
A dataset for benchmarking keyphrase extraction and generation techniques from abstract of english scientific articles. For more details about the dataset please refer the original paper - URL
Original source of the data -
Dataset Structure
-----------------
Table 1: Statistics ... | [
"### Data Fields\n\n\n* id: unique identifier of the document.\n* document: Whitespace separated list of words in the document.\n* doc\\_bio\\_tags: BIO tags for each word in the document. B stands for the beginning of a keyphrase and I stands for inside the keyphrase. O stands for outside the keyphrase and represe... | [
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a9bbb2728beebe8168ae226c60459cdf5a39342a |
This is the Icelandic Common Crawl Corpus (IC3).
| mideind/icelandic-common-crawl-corpus-IC3 | [
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"task_ids:language-modeling",
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"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["is"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "Icelandi... | 2022-10-22T14:44:37+00:00 | [] | [
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|
This is the Icelandic Common Crawl Corpus (IC3).
| [] | [
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] |
6f1df59ddca5d65f3bd6c822f384e2ea8b5f7c3b |
# Icelandic Error Corpus
Refer to [https://github.com/antonkarl/iceErrorCorpus](https://github.com/antonkarl/iceErrorCorpus) for a description of the dataset.
Please cite the dataset as follows if you use it.
```
Anton Karl Ingason, Lilja Björk Stefánsdóttir, Þórunn Arnardóttir, and Xindan Xu. 2021. The Icelandic ... | mideind/icelandic-error-corpus-IceEC | [
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"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:is",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language": ["is"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "pretty_name": "Icelandic Error Corpus"} | 2022-10-25T08:51:04+00:00 | [] | [
"is"
] | TAGS
#annotations_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Icelandic #license-cc-by-4.0 #region-us
|
# Icelandic Error Corpus
Refer to URL for a description of the dataset.
Please cite the dataset as follows if you use it.
| [
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"# Icelandic Error Corpus\n\nRefer to URL for a description of the dataset.\n\nPlease cite the dataset as follows if you use it."
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eccff1c84ba55f542a1f003ef9a621da692e1380 | # Dataset Card for Dutch CNN Dailymail Dataset
## Dataset Description
- **Repository:** [CNN / DailyMail Dataset NL repository](https://huggingface.co/datasets/ml6team/cnn_dailymail_nl)
### Dataset Summary
The Dutch CNN / DailyMail Dataset is a machine-translated version of the English CNN / Dailymail dataset conta... | ml6team/cnn_dailymail_nl | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
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"source_datasets:https://github.com/huggingface/datasets/tree/master/datasets/cnn_dailymail",
"language:nl",
"license:mit",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["nl"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["https://github.com/huggingface/datasets/tree/master/datasets/cnn_dailymail"], "task_categories": ["conditional-te... | 2022-10-22T13:03:06+00:00 | [] | [
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| Dataset Card for Dutch CNN Dailymail Dataset
============================================
Dataset Description
-------------------
* Repository: CNN / DailyMail Dataset NL repository
### Dataset Summary
The Dutch CNN / DailyMail Dataset is a machine-translated version of the English CNN / Dailymail dataset conta... | [
"### Dataset Summary\n\n\nThe Dutch CNN / DailyMail Dataset is a machine-translated version of the English CNN / Dailymail dataset containing just over 300k unique news aticles as written by journalists at CNN and the Daily Mail.\n\n\nMost information about the dataset can be found on the HuggingFace page of the or... | [
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"### Dataset Summary\n\n\nThe Dutch CNN / DailyMail D... | [
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fc98c1ee39d3a8d02483d10d0b08e3e2d591ed1b | # Dataset Card for XSum NL
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)... | ml6team/xsum_nl | [
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|xsum",
"language:nl",
"license:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["nl"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["extended|xsum"], "task_categories": ["conditional-text-generation"], "task_ids": ["summarizatio... | 2022-10-22T13:47:41+00:00 | [] | [
"nl"
] | TAGS
#annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-unknown #source_datasets-extended|xsum #language-Dutch #license-unknown #region-us
| # Dataset Card for XSum NL
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal ... | [
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765eb565ac8ae91267817425017ad7b81829f06f | Reuters model for demo | mmcquade11-test/reuters-for-summarization-two | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-30T16:49:22+00:00 | [] | [] | TAGS
#region-us
| Reuters model for demo | [] | [
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] | [
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a13e63b05aa133aae304a4f190cbe680412dbe30 |
# Dataset Card for "Widdd"
## Dataset Description
WiDDD stands for WIkiData Disambig with Descriptions. The former dataset comes from [Cetoli & al](https://arxiv.org/pdf/1810.09164.pdf) paper, and is aimed at solving Named Entity Disambiguation. This datasets tries to extract relevant information from entities de... | mnemlaghi/widdd | [
"annotations_creators:machine-generated",
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"language:en",
"license:apache-2.0",
"arxiv:1810.09164",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["named-entity-disambiguation"], "task_ids": ["wikidata-disambiguatio... | 2022-10-22T14:02:03+00:00 | [
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| Dataset Card for "Widdd"
========================
Dataset Description
-------------------
WiDDD stands for WIkiData Disambig with Descriptions. The former dataset comes from Cetoli & al paper, and is aimed at solving Named Entity Disambiguation. This datasets tries to extract relevant information from entities desc... | [
"### Supported Tasks and Leaderboards",
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534086adc3aec801687316b3fe162e4231ab0a6b |
# RAFT submissions for my_raft
## Submitting to the leaderboard
To make a submission to the [leaderboard](https://huggingface.co/spaces/ought/raft-leaderboard), there are three main steps:
1. Generate predictions on the unlabeled test set of each task
2. Validate the predictions are compatible with the evaluation f... | moshew/my_raft | [
"benchmark:raft",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"benchmark": "raft", "type": "prediction", "submission_name": "SetFit300"} | 2022-07-16T16:01:04+00:00 | [] | [] | TAGS
#benchmark-raft #region-us
|
# RAFT submissions for my_raft
## Submitting to the leaderboard
To make a submission to the leaderboard, there are three main steps:
1. Generate predictions on the unlabeled test set of each task
2. Validate the predictions are compatible with the evaluation framework
3. Push the predictions to the Hub!
See the in... | [
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12d1c4b52a0e7468d8c740398f7960dcd7f3eae1 | Pronunciation information pulled from wiktionary.org. | mostol/wiktionary-ipa | [
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746c4f3e740f7b3dc6b58fc1ae109656fc464ca0 |
# Dataset Card for Common Voice Corpus 1
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data... | mozilla-foundation/common_voice_1_0 | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"source_datasets:extended|common_voice",
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"arxiv:1912.06670",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": {"br": ["1K<n<10K"], "ca": ["10K<n<100K"], "cnh": ["1K<n<10K"], "cv": ["1K<n<10K"], "cy": ["10K<n<100K"], "de": ["100K<n<1M"], "en": ["100K<n<1M"], "eo": ["1K... | 2023-07-29T14:59:56+00:00 | [
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|
# Dataset Card for Common Voice Corpus 1
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and S... | [
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47c28d1f638d66bbf0688901e12d379117b0818d |
# Dataset Card for Common Voice Corpus 2
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data... | mozilla-foundation/common_voice_2_0 | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
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"multilinguality:multilingual",
"source_datasets:extended|common_voice",
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"arxiv:1912.06670",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": {"br": ["10K<n<100K"], "ca": ["10K<n<100K"], "cnh": ["1K<n<10K"], "cv": ["1K<n<10K"], "cy": ["10K<n<100K"], "de": ["100K<n<1M"], "dv": ["1K<n<10K"], "en": ["1... | 2023-07-29T14:59:58+00:00 | [
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#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-multilingual #source_datasets-extended|common_voice #license-cc0-1.0 #arxiv-1912.06670 #region-us
|
# Dataset Card for Common Voice Corpus 2
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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# Dataset Card for Common Voice Corpus 3
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data... | mozilla-foundation/common_voice_3_0 | [
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|
# Dataset Card for Common Voice Corpus 3
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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# Dataset Card for Common Voice Corpus 4
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data... | mozilla-foundation/common_voice_4_0 | [
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|
# Dataset Card for Common Voice Corpus 4
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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4865862f7798fce8ade9ecf7624307eb642fcaba |
# Dataset Card for Common Voice Corpus 5
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data... | mozilla-foundation/common_voice_5_0 | [
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|
# Dataset Card for Common Voice Corpus 5
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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bc45ee4e29cffd942f529a6e00cc524b802926f7 |
# Dataset Card for Common Voice Corpus 5.1
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#da... | mozilla-foundation/common_voice_5_1 | [
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"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": {"ab": ["n<1K"], "ar": ["10K<n<100K"], "as": ["n<1K"], "br": ["10K<n<100K"], "ca": ["100K<n<1M"], "cnh": ["1K<n<10K"], "cs": ["10K<n<100K"], "cv": ["1K<n<10K"... | 2023-07-29T15:00:04+00:00 | [
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|
# Dataset Card for Common Voice Corpus 5.1
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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c31398ea2f97ed4530762c47150207e9faa2f8d6 |
# Dataset Card for Common Voice Corpus 6.0
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#da... | mozilla-foundation/common_voice_6_0 | [
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"region:us"
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|
# Dataset Card for Common Voice Corpus 6.0
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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7b7e1cbaa386bb3f5c4fbdb66b734bf699b51c33 |
# Dataset Card for Common Voice Corpus 6.1
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#da... | mozilla-foundation/common_voice_6_1 | [
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"region:us"
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|
# Dataset Card for Common Voice Corpus 6.1
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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73bc0bd17153e7c80a628030bc0d3c604c0112f0 |
# Dataset Card for Common Voice Corpus 7.0
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#da... | mozilla-foundation/common_voice_7_0 | [
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"arxiv:1912.06670",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": {"ab": ["1K<n<10K"], "ar": ["100K<n<1M"], "as": ["n<1K"], "az": ["n<1K"], "ba": ["100K<n<1M"], "bas": ["1K<n<10K"], "be": ["100K<n<1M"], "bg": ["1K<n<10K"], "... | 2023-07-29T15:00:09+00:00 | [
"1912.06670"
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|
# Dataset Card for Common Voice Corpus 7.0
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and... | [
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791a941ef037d187d6cafb8d69da9bede3cce492 |
# Dataset Card for Common Voice Corpus 8.0
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#da... | mozilla-foundation/common_voice_8_0 | [
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"arxiv:1912.06670",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": {"ab": ["10K<n<100K"], "ar": ["100K<n<1M"], "as": ["n<1K"], "az": ["n<1K"], "ba": ["100K<n<1M"], "bas": ["1K<n<10K"], "be": ["100K<n<1M"], "bg": ["1K<n<10K"],... | 2023-07-29T15:00:11+00:00 | [
"1912.06670"
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|
# Dataset Card for Common Voice Corpus 8.0
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and... | [
"# Dataset Card for Common Voice Corpus 8.0",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotati... | [
"TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-multilingual #source_datasets-extended|common_voice #license-cc0-1.0 #arxiv-1912.06670 #region-us \n",
"# Dataset Card for Common Voice Corpus 8.0",
"## Table of Contents\n- D... | [
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"passage: TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-multilingual #source_datasets-extended|common_voice #license-cc0-1.0 #arxiv-1912.06670 #region-us \n# Dataset Card for Common Voice Corpus 8.0## Table of Contents\n- Data... |
649dd8041e8074738c81be5dce2c7ff6b32d7d4b | kmsdkmksm | mr-robot/ec | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-08-09T19:22:21+00:00 | [] | [] | TAGS
#region-us
| kmsdkmksm | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
bd3ed9a7817b7a9f0742593ac893ab7b2dc2b996 | # GoEmotions
**GoEmotions** is a corpus of 58k carefully curated comments extracted from Reddit,
with human annotations to 27 emotion categories or Neutral.
* Number of examples: 58,009.
* Number of labels: 27 + Neutral.
* Maximum sequence length in training and evaluation datasets: 30.
On top of the raw data, we al... | mrm8488/goemotions | [
"arxiv:2005.00547",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-28T17:49:54+00:00 | [
"2005.00547"
] | [] | TAGS
#arxiv-2005.00547 #region-us
| GoEmotions
==========
GoEmotions is a corpus of 58k carefully curated comments extracted from Reddit,
with human annotations to 27 emotion categories or Neutral.
* Number of examples: 58,009.
* Number of labels: 27 + Neutral.
* Maximum sequence length in training and evaluation datasets: 30.
On top of the raw dat... | [
"### Data Format\n\n\nOur raw dataset, split into three csv files, includes all annotations as well as metadata on the comments. Each row represents a single rater's annotation for a single example. This file includes the following columns:\n\n\n* 'text': The text of the comment (with masked tokens, as described in... | [
"TAGS\n#arxiv-2005.00547 #region-us \n",
"### Data Format\n\n\nOur raw dataset, split into three csv files, includes all annotations as well as metadata on the comments. Each row represents a single rater's annotation for a single example. This file includes the following columns:\n\n\n* 'text': The text of the c... | [
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"passage: TAGS\n#arxiv-2005.00547 #region-us \n### Data Format\n\n\nOur raw dataset, split into three csv files, includes all annotations as well as metadata on the comments. Each row represents a single rater's annotation for a single example. This file includes the following columns:\n\n\n* 'text': The text of th... |
f94bfc7e593334581ceb28962278ce43e0afe4af | Sentence representation plays a crucial role in NLP downstream tasks such as NLI, text classification, and STS. Recent sentence representation training techniques require NLI or STS datasets. However, there are no equivalent Thai NLI or STS datasets for sentence representation training.
To address this problem we provi... | mrp/Thai-Semantic-Textual-Similarity-Benchmark | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-29T06:15:34+00:00 | [] | [] | TAGS
#region-us
| Sentence representation plays a crucial role in NLP downstream tasks such as NLI, text classification, and STS. Recent sentence representation training techniques require NLI or STS datasets. However, there are no equivalent Thai NLI or STS datasets for sentence representation training.
To address this problem we provi... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
d29aba88703a445763c2ff7344b2de28960d3554 |
# Dataset Card for english-korean-multitarget-ted-talks-task
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dat... | msarmi9/korean-english-multitarget-ted-talks-task | [
"annotations_creators:expert-generated",
"language_creators:other",
"multilinguality:translation",
"multilinguality:multilingual",
"language:en",
"language:ko",
"license:cc-by-nc-nd-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["other"], "language": ["en", "ko"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["translation", "multilingual"], "task_categories": ["conditional-text-generation"], "task_ids": ["machine-translation"], "pretty_name": "English-Korean Multitarget... | 2022-10-22T14:05:15+00:00 | [] | [
"en",
"ko"
] | TAGS
#annotations_creators-expert-generated #language_creators-other #multilinguality-translation #multilinguality-multilingual #language-English #language-Korean #license-cc-by-nc-nd-4.0 #region-us
|
# Dataset Card for english-korean-multitarget-ted-talks-task
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source... | [
"# Dataset Card for english-korean-multitarget-ted-talks-task",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation R... | [
"TAGS\n#annotations_creators-expert-generated #language_creators-other #multilinguality-translation #multilinguality-multilingual #language-English #language-Korean #license-cc-by-nc-nd-4.0 #region-us \n",
"# Dataset Card for english-korean-multitarget-ted-talks-task",
"## Table of Contents\n- Table of Contents... | [
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"passage: TAGS\n#annotations_creators-expert-generated #language_creators-other #multilinguality-translation #multilinguality-multilingual #language-English #language-Korean #license-cc-by-nc-nd-4.0 #region-us \n# Dataset Card for english-korean-multitarget-ted-talks-task## Table of Contents\n- Table of Contents\n-... |
978a45cb5c1c78bb4e8f03d22c17138b38d6a15c | this is my test demo | mtfelix/datasetdemo | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-14T10:09:12+00:00 | [] | [] | TAGS
#region-us
| this is my test demo | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
59a8c8289335ea176c54284b6462746b6dc4e9c3 | # AutoNLP Dataset for project: Doctor_DE
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset Descritpion
This dataset ... | muhtasham/autonlp-data-Doctor_DE | [
"task_categories:text-classification",
"task_ids:text-scoring",
"language:de",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["de"], "task_categories": ["text-classification"], "task_ids": ["text-scoring"]} | 2022-10-27T17:52:42+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-classification #task_ids-text-scoring #language-German #region-us
| AutoNLP Dataset for project: Doctor\_DE
=======================================
Table of content
----------------
* Dataset Description
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoNL... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is de.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
"TAGS\n#task_categories-text-classification #task_ids-text-scoring #language-German #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is de.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\... | [
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"passage: TAGS\n#task_categories-text-classification #task_ids-text-scoring #language-German #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is de.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe data... |
38479a7a477f2388e20048c6161dc3b122575ea9 |
# Dataset Card for Clean(maybe) Indonesia mC4
## Dataset Description
- **Original Homepage:** [HF Hub](https://huggingface.co/datasets/allenai/c4)
- **Paper:** [ArXiv](https://arxiv.org/abs/1910.10683)
### Dataset Summary
A thoroughly cleaned version of the Indonesia split of the multilingual colossal, cleaned ve... | indonesian-nlp/mc4-id | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"source_datasets:extended",
"language:id",
"license:odc-by",
"arxiv:1910.10683",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["id"], "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": ["ex... | 2022-10-25T10:52:34+00:00 | [
"1910.10683"
] | [
"id"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-extended #language-Indonesian #license-odc-by #arxiv-1910.10683 #region-us
|
# Dataset Card for Clean(maybe) Indonesia mC4
## Dataset Description
- Original Homepage: HF Hub
- Paper: ArXiv
### Dataset Summary
A thoroughly cleaned version of the Indonesia split of the multilingual colossal, cleaned version of Common Crawl's web crawl corpus (mC4). Based on the Common Crawl dataset. The ori... | [
"# Dataset Card for Clean(maybe) Indonesia mC4",
"## Dataset Description\n\n- Original Homepage: HF Hub\n- Paper: ArXiv",
"### Dataset Summary\n\nA thoroughly cleaned version of the Indonesia split of the multilingual colossal, cleaned version of Common Crawl's web crawl corpus (mC4). Based on the Common Crawl ... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-extended #language-Indonesian #license-odc-by #arxiv-1910.10683 #region-us \n",
"# Dataset Card for Clean(maybe) Indonesia mC4",
"## Data... | [
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5a267c00ebafb624847136d25503824f1bf66b4e | https://vouproifsc.com/forums/topic/watch-tom-jerry-2021-full-movie-hd-online-free/
https://vouproifsc.com/forums/topic/watch-boogie-2021-full-movie-hd-online-free/
https://vouproifsc.com/forums/topic/watch-crazy-about-her-2021-full-movie-hd-online-free/
https://vouproifsc.com/forums/topic/watch-coming-2-america-2021-f... | mustafa12/db_ee | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-03-07T09:20:06+00:00 | [] | [] | TAGS
#region-us
| URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
c3e0a0f06a7d3c167b0017da0bd4ab6f89845348 | https://www.wda.org/advert/watch-tom-jerry-2021-full-hd-movie-online-free-123movies
https://www.wda.org/advert/watch-the-little-things-2021-full-hd-movie-online-free-123movies
https://www.wda.org/advert/watch-raya-and-the-last-dragon-2021-full-hd-movie-online-free-123movies
https://www.wda.org/advert/watch-i-care-a-lot... | mustafa12/edaaaas | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-03-08T09:46:55+00:00 | [] | [] | TAGS
#region-us
| URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
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URL
URL
URL
URL
URL
URL
URL
URL
URL
URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
a316e3aea1723cec211ab9576ba5cb26ed1f3650 | https://www.sparkblue.org/content/watch-tom-jerry-2021-full-hd-movie-online-free-123movies
https://www.sparkblue.org/content/watch-little-things-2021-full-hd-movie-online-free-123movies
https://www.sparkblue.org/content/watch-raya-and-last-dragon-2021-full-hd-movie-online-free-123movies
https://www.sparkblue.org/conten... | mustafa12/thors | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-03-08T08:21:22+00:00 | [] | [] | TAGS
#region-us
| URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL
URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
7d9f19d0cb4e7dcedfe2dafdda3ac8d6b7c9dbd9 |
# Dataset Card for MedWiki
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
... | mvarma/medwiki | [
"task_categories:text-retrieval",
"task_ids:entity-linking-retrieval",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|wikipedia",
"license:cc-by-4.0",
"arxiv:2110.08228",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["crowdsourced"], "language": ["en-US", "en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["extended|wikipedia"], "task_categories": ["text-retrieval"], "task_ids": ["entity-linking... | 2022-10-25T08:51:06+00:00 | [
"2110.08228"
] | [
"en-US",
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-entity-linking-retrieval #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-unknown #source_datasets-extended|wikipedia #license-cc-by-4.0 #arxiv-2110.08228 #region-us
| Dataset Card for MedWiki
========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal and S... | [
"### Dataset Summary\n\n\nMedWiki is a large sentence dataset collected from a medically-relevant subset of Wikipedia and annotated with biomedical entities in the Unified Medical Language System (UMLS) knowledge base. For each entity, we include a rich set of types sourced from both UMLS and WikiData. Consisting o... | [
"TAGS\n#task_categories-text-retrieval #task_ids-entity-linking-retrieval #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-unknown #source_datasets-extended|wikipedia #license-cc-by-4.0 #arxiv-2110.08228 #region-us \n",
"### Dataset Summary\n\n\... | [
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