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4dd08ebac7cf221d87d3175fca5d5562d3923c34 | A smaller version (100 samples) of https://huggingface.co/datasets/bs-modeling-metadata/website_metadata_c4 | shanya/website_metadata_c4_toy | [
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8051c9bb36a5460415cb4f94b156eeb653c3385e | # BiPaR
> General Description
This repository contains datasets for EMNLP-IJCNLP 2019 paper "BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels" (Yimin Jing, Deyi Xiong and Yan Zhen). BiPaR is an extractive and manually annotated bilingual parallel novel-style machin... | sharejing/BiPaR | [
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| # BiPaR
> General Description
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79fc59f431716692cd8ae024f1b97fe7457a7ca8 | # Dataset Card for NLI_zh
## 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-instances)
- [... | shibing624/nli_zh | [
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## Table of Contents
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9d62f0ab0d93b3f4b38284ac88b540772e7b61b8 | # Dataset Card for "SourceCode"
## Table of Contents
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- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)... | shibing624/source_code | [
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"source_datasets:https://github.com/... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0", "gfdl"], "multilinguality": ["monolingual"], "size_categories": ["100M<n<200M"], "source_datasets": ["https://github.com/shibing624/code-autocomplete", "https://github.com/bharathgs/Awesome-py... | 2022-10-30T06:30:07+00:00 | [] | [
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5f3da553d930a07de2685c0f541636eaec270318 |
## Table of Contents
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169b139c0c38afc9942b94198c789b4b9ba8e2dc |
# Dataset Card for Tilde-MODEL-Catalan
## Table of Contents
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- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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# Dataset Card for Tilde-MODEL-Catalan
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4d0a4d825b82a7ba9b191e8c157edf98d21e7618 | # Dataset Card for Softcatala-Web-Texts-Dataset
## 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]... | softcatala/Softcatala-Web-Texts-Dataset | [
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| # Dataset Card for Softcatala-Web-Texts-Dataset
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0f51602f5bdb3884bb1730b4f47f8b0f37eddf6a |
# Dataset Card for Tilde-MODEL-Catalan
## Table of Contents
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- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dat... | softcatala/Tilde-MODEL-Catalan | [
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# Dataset Card for Tilde-MODEL-Catalan
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90ada72ef9df2252797ae8fd4a40e2c071412355 |
# Dataset Card for ca-text-corpus
## Table of Contents
- [Table of Contents](#table-of-contents)
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- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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|
# Dataset Card for ca-text-corpus
## Table of Contents
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585057c3fed0b67a04ee1d6eeae4b3344ef8b587 |
# Dataset Card for ca-text-corpus
## 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... | softcatala/catalan-dictionary | [
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|
# Dataset Card for ca-text-corpus
## 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
- P... | [
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612ada74b3354d520e4c42e35251bc4ed3686b33 |
# Dataset Card for open-source-english-catalan-corpus
## 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 St... | softcatala/open-source-english-catalan-corpus | [
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|
# Dataset Card for open-source-english-catalan-corpus
## 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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48c23354c088c4273b260a877dafa424e1c6cc95 | # Reddit posts about mental health
## files
- adhd.csv from r/adhd
- aspergers.csv from r/aspergers
- depression.csv from r/depression
- ocd.csv from r/ocd
- ptsd.csv from r/ptsd
## fields
- author
- body
- created_utc
- id
- num_comments
- score
- subreddit
- title
- upvote_ratio
- url
for more details about thes... | solomonk/reddit_mental_health_posts | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-11T15:40:01+00:00 | [] | [] | TAGS
#region-us
| # Reddit posts about mental health
## files
- URL from r/adhd
- URL from r/aspergers
- URL from r/depression
- URL from r/ocd
- URL from r/ptsd
## fields
- author
- body
- created_utc
- id
- num_comments
- score
- subreddit
- title
- upvote_ratio
- url
for more details about theses fields Praw Submission.
| [
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0e4f8bf4a8a6fefe60c5aa90547b7ebec1652e43 | # Dataset Summary
Starting with a paper released at NIPS 2016, MS MARCO is a collection of datasets focused on deep learning in search.
# Dataset Creation
## Source Data
More Information Needed
## Annotations
More Information Needed
## Personal and Sensitive Information
More Information Needed
# Considerations fo... | spacemanidol/msmarco_passage_ranking | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-04-09T18:33:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Summary
Starting with a paper released at NIPS 2016, MS MARCO is a collection of datasets focused on deep learning in search.
# Dataset Creation
## Source Data
## Annotations
## Personal and Sensitive Information
# Considerations for Using the Data
## Social Impact of Dataset
## Discussion of Biase... | [
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c94d921b402c05dc4ab1cb2bdcfd3841902d2d97 | ## Extreme Summarization (XSum) Dataset.
There are two features:
- document: Input news article.
- summary: One sentence summary of the article.
### Citation
```bibtex
@article{Narayan2018DontGM,
title={Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summariz... | sshleifer/pseudo_bart_xsum | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-02-23T13:57:51+00:00 | [] | [] | TAGS
#region-us
| ## Extreme Summarization (XSum) Dataset.
There are two features:
- document: Input news article.
- summary: One sentence summary of the article.
| [
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641dc93c008f3290112ae324a754aaf7e77dee15 |
# C4 EN 10K for testing
This is a small subset representing the first 10K records of the original C4 dataset, "en" subset - created for testing. The records were extracted after having been shuffled.
The full 1TB+ dataset is at https://huggingface.co/datasets/c4.
```
$ python -c "from datasets import load_dataset; ... | stas/c4-en-10k | [
"language:en",
"license:apache-2.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": "apache-2.0"} | 2022-10-19T20:40:11+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #region-us
|
# C4 EN 10K for testing
This is a small subset representing the first 10K records of the original C4 dataset, "en" subset - created for testing. The records were extracted after having been shuffled.
The full 1TB+ dataset is at URL
* Records: 10,000
* compressed size: 6.4M
* uncompressed size: 22M
To convert to ... | [
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152771d7ae284673c3ad7ffdd9b3afc2741f1d00 | 10K slice of OpenWebText - An open-source replication of the WebText dataset from OpenAI.
This is a small subset representing the first 10K records from the original dataset - created for testing.
The full 8M-record dataset is [here](https://huggingface.co/datasets/openwebtext).
```
$ python -c "from datasets import... | stas/openwebtext-10k | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-09-14T23:18:50+00:00 | [] | [] | TAGS
#region-us
| 10K slice of OpenWebText - An open-source replication of the WebText dataset from OpenAI.
This is a small subset representing the first 10K records from the original dataset - created for testing.
The full 8M-record dataset is here.
* Records: 10,000
* compressed size: ~15MB
* uncompressed size: 50MB
To convert t... | [] | [
"TAGS\n#region-us \n"
] | [
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07713bf01c6e590a5d80b2c246de207d47724482 |
# OSCAR EN 10K for testing
This is a small subset representing the 10K records from the original OSCAR dataset, "unshuffled_deduplicated_en" subset - created for testing. The records were extracted after having been shuffled.
The full 1TB+ dataset is at https://huggingface.co/datasets/oscar.
```
$ python -c "from d... | stas/oscar-en-10k | [
"language:en",
"license:apache-2.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": "apache-2.0"} | 2022-10-19T20:40:14+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #region-us
|
# OSCAR EN 10K for testing
This is a small subset representing the 10K records from the original OSCAR dataset, "unshuffled_deduplicated_en" subset - created for testing. The records were extracted after having been shuffled.
The full 1TB+ dataset is at URL
* Records: 10,000
* compressed size: ~37MB
* uncompresse... | [
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7617090058992d01345cbead219b800acd77d3ac | # WMT14 English-German Translation Data w/ further preprocessing
The original pre-processing script is [here](https://github.com/pytorch/fairseq/blob/master/examples/translation/prepare-wmt14en2de.sh).
This pre-processed dataset was created by running:
```
git clone https://github.com/pytorch/fairseq
cd fairseq
cd e... | stas/wmt14-en-de-pre-processed | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-02-16T04:41:04+00:00 | [] | [] | TAGS
#region-us
| # WMT14 English-German Translation Data w/ further preprocessing
The original pre-processing script is here.
This pre-processed dataset was created by running:
It was originally used by 'transformers' 'finetune_trainer.py'
The data itself resides at URL
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6dfdf691a1b18d8ebc206897b5cac2d7e4bcda3c | # WMT16 English-Romanian Translation Data w/ further preprocessing
The original instructions are [here](https://github.com/rsennrich/wmt16-scripts/tree/master/sample).
This pre-processed dataset was created by running:
```
git clone https://github.com/rsennrich/wmt16-scripts
cd wmt16-scripts
cd sample
./download_fil... | stas/wmt16-en-ro-pre-processed | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-02-16T03:58:06+00:00 | [] | [] | TAGS
#region-us
| # WMT16 English-Romanian Translation Data w/ further preprocessing
The original instructions are here.
This pre-processed dataset was created by running:
It was originally used by 'transformers' 'finetune_trainer.py'
The data itself resides at URL
If you would like to convert it to jsonlines I've included a sma... | [
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167bea6bb04170c41a7ab6b91e13fef446f94880 |
# 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)
... | stevhliu/demo | [
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"r... | 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": ["summarization", "text2text-generation"], "task_ids": [], "tags": ["condit... | 2022-10-24T17:02:42+00:00 | [] | [
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|
# 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
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d9709e0c5512c125ce34aea05b3de3f912092c1b |
# Dataset Card for "squad_v2_sv"
## 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... | susumu2357/squad_v2_sv | [
"task_categories:question-answering",
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"source_datasets:extended|wikipedia",
"language:sv",
"license:apache-2.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["sv"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|wikipedia"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"]} | 2022-07-01T17:31:20+00:00 | [] | [
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| Dataset Card for "squad\_v2\_sv"
================================
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
+ An... | [
"### Dataset Summary\n\n\nSQuAD\\_v2\\_sv is a Swedish version of SQuAD2.0. Translation was done automatically using the Google Translate API but it is not so straightforward for the following reasons.\n\n\n* The span that determines the start and end of the answer in the context may change after translation.\n* If... | [
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433e142816781b4cb97022bc2bd245e138a82140 |
# Dataset Card for QReCC: Question Rewriting in Conversational Context
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structu... | svakulenk0/qrecc | [
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"language:en",
"license:cc-by-3.0",
"arxiv:2010.04898",
... | 2022-03-02T23:29:22+00:00 | {"language_creators": ["expert-generated", "found"], "language": ["en"], "license": ["cc-by-3.0"], "multilinguality": ["monolingual"], "source_datasets": ["extended|natural_questions", "extended|quac"], "task_categories": ["question-answering"], "task_ids": ["open-domain-qa"], "pretty_name": "QReCC"} | 2022-07-02T16:35:21+00:00 | [
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|
# Dataset Card for QReCC: Question Rewriting in Conversational Context
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Splits
- Dataset Creation
- Source Data
- Additional Information
- Licensing Info... | [
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98c2df63345816421f5571ce53c20a6336166768 | # NER for Icelandic - MIM-GOLD-NER splits
## MIM-GOLD-NER
The original MIM-GOLD-NER data is found at http://hdl.handle.net/20.500.12537/42
This repository packages the data for use with the Datasets library from hugginface.
## Old splits
*This is no longer in use.*
At the time of creation, the original data did ... | svanhvit/icelandic-ner-MIM-GOLD-NER | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-10-08T10:39:45+00:00 | [] | [] | TAGS
#region-us
| # NER for Icelandic - MIM-GOLD-NER splits
## MIM-GOLD-NER
The original MIM-GOLD-NER data is found at URL
This repository packages the data for use with the Datasets library from hugginface.
## Old splits
*This is no longer in use.*
At the time of creation, the original data did not have train, dev and test split... | [
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16d7a159dc46c84ba94dfe523233cabfc39df5db |
## Dataset Description
- **Homepage:** [SCROLLS](https://www.scrolls-benchmark.com/)
- **Repository:** [SCROLLS Github repository](https://github.com/tau-nlp/scrolls)
- **Paper:** [SCROLLS: Standardized CompaRison Over Long Language Sequences
](https://arxiv.org/pdf/2201.03533.pdf)
- **Leaderboard:** [Leaderboard](ht... | tau/scrolls | [
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"task_categories:summarization",
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... | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "task_categories": ["question-answering", "summarization", "text-generation"], "task_ids": ["multiple-choice-qa", "natural-language-inference"], "paperswithcode_id": "scrolls", "configs": ["gov_report", "summ_screen_fd", "qmsum", "qasper", "narrative_qa", "quality", "contract_nli"], "tags": ["query... | 2024-01-12T09:30:24+00:00 | [
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"1712.07040",
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"2112.08608",
"2110.01799"
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"en"
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## Dataset Description
- Homepage: SCROLLS
- Repository: SCROLLS Github repository
- Paper: SCROLLS: Standardized CompaRison Over Long Language Sequences
- Leaderboard: Leaderboard
- Point of Contact: scrolls-benchmark-contact@URL
# Dataset Card for SCROLLS
## Overview
SCROLLS is a suite of datasets that require s... | [
"## Dataset Description\n\n- Homepage: SCROLLS\n- Repository: SCROLLS Github repository\n- Paper: SCROLLS: Standardized CompaRison Over Long Language Sequences\n\n- Leaderboard: Leaderboard\n- Point of Contact: scrolls-benchmark-contact@URL",
"# Dataset Card for SCROLLS",
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cf9350c25cc6c7bdf1ef3b894735f5dbd1017b17 | test111111111
222222 | testOrganization01/test05 | [
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5edaf8a0223732d1f92e92ddcf96fe0e9175a502 | # MOLD - {M}arathi {O}ffensive {L}anguage {D}ataset
The {M}arathi {O}ffensive {L}anguage {D}ataset (MOLD) contains a collection of 2500 annotated Marathi tweets.
The files included are:
```
MOLD
│ README.md
└───data
│ MOLD_train.csv
│ MOLD_test.csv
```
- `MOLD_train.csv`: contains 1,875 annotated twe... | tharindu/MOLD | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-09-12T18:25:26+00:00 | [] | [] | TAGS
#region-us
| # MOLD - {M}arathi {O}ffensive {L}anguage {D}ataset
The {M}arathi {O}ffensive {L}anguage {D}ataset (MOLD) contains a collection of 2500 annotated Marathi tweets.
The files included are:
- 'MOLD_train.csv': contains 1,875 annotated tweets for the training set.
- 'MOLD_test.csv': contains 625 annotated tweets for t... | [
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7d6103712341593ad655569c9ec37c669a691a83 |
# SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification
The widespread use of offensive content in social media has led to an abundance of research in detecting language such as hate speech, cyberbullying, and cyber-aggression. Recent work presented the OLID dataset, which follows a taxon... | tharindu/SOLID | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-03T13:34:59+00:00 | [] | [] | TAGS
#region-us
|
# SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification
The widespread use of offensive content in social media has led to an abundance of research in detecting language such as hate speech, cyberbullying, and cyber-aggression. Recent work presented the OLID dataset, which follows a taxon... | [
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fc01af8abe76468122cdc6a04262c22805bda2f6 | Argumentation Annotated Student Peer Reviews Corpus (AASPRC) version 1.0
-----------------------------------------------------
Free and full access: https://github.com/thiemowa/argumentative_student_peer_reviews
The corpus contains 1000 persuasive student peer reviews about business model feedbacks annotated for thei... | thiemowa/argumentationreviewcorpus | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-05-18T12:39:41+00:00 | [] | [] | TAGS
#region-us
| Argumentation Annotated Student Peer Reviews Corpus (AASPRC) version 1.0
-----------------------------------------------------
Free and full access: URL
The corpus contains 1000 persuasive student peer reviews about business model feedbacks annotated for their argumentative components and argumentative relations. The... | [] | [
"TAGS\n#region-us \n"
] | [
6
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6ca80725a337e86cd90878abf64805b181d75854 | Empathy Annotated Student Peer Reviews Corpus (EASPRC) version 1.0
-----------------------------------------------------
Free and full access: https://github.com/thiemowa/empathy_annotated_peer_reviews
The corpus contains 500 student peer reviews about business model feedbacks annotated for their cognitive and emotio... | thiemowa/empathyreviewcorpus | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-05-18T12:39:12+00:00 | [] | [] | TAGS
#region-us
| Empathy Annotated Student Peer Reviews Corpus (EASPRC) version 1.0
-----------------------------------------------------
Free and full access: URL
The corpus contains 500 student peer reviews about business model feedbacks annotated for their cognitive and emotional empathy levels based on three types of review compo... | [] | [
"TAGS\n#region-us \n"
] | [
6
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99f7693ac2ad86604d60f1f3dafdeea1d4f6ba0a | Dataset
# My very good dataset
This dataset was carefully crafted in my home with a lot of coffee
By thomwolf | thomwolf/very-good-dataset | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-09-17T11:35:43+00:00 | [] | [] | TAGS
#region-us
| Dataset
# My very good dataset
This dataset was carefully crafted in my home with a lot of coffee
By thomwolf | [
"# My very good dataset\n\nThis dataset was carefully crafted in my home with a lot of coffee\n\nBy thomwolf"
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ed27a8d299e06b62b812ea4538e74883635e531a | # My very good dataset
This dataset was carefully crafted in my home with a lot of coffee
By thomwolf | thomwolf/very-test-dataset-2 | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-09-17T11:28:45+00:00 | [] | [] | TAGS
#region-us
| # My very good dataset
This dataset was carefully crafted in my home with a lot of coffee
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fe8bdba33903ab9490da4170b1159a3e8e8860bc | # My great dataset | thomwolf/very-test-dataset | [
"region:us"
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37efd20748c667376df719d997b83ac9ecf1c3e6 | 临时文件, 当作网盘用. | tianxing1994/temp | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-07-07T12:08:08+00:00 | [] | [] | TAGS
#region-us
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a472740248f3c7ff1b6f2cb2938215d9f2df4c11 |
# Dataset Card for GitHub Issues
## 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 and can be used for semantic search or multilabel text classification. The contents of each GitHub issue are i... | toddmorrill/github-issues | [
"task_categories:text-classification",
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"task_ids:multi-class-classification",
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"task_ids:document-retrieval",
"annotations_creators:no-annotation",
"multilinguality:monolingual",
"size_categories:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": [], "language": ["'en-US'"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-classification", "text-retrieval"], "task_ids": ["multi-class-classification", "multi-label-cl... | 2022-10-25T08:56:49+00:00 | [] | [
"'en-US'"
] | TAGS
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|
# Dataset Card for GitHub Issues
## 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 and can be used for semantic search or multilabel text classification. The contents of each GitHub issue are in ... | [
"# Dataset Card for GitHub Issues",
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20278feeecc9421d90704ea04ce2e455e76e3ba9 |
# Dataset Card for CrowdSpeech
## Dataset Description
- **Repository:** [GitHub](https://github.com/Toloka/CrowdSpeech)
- **Paper:** [Paper](https://openreview.net/forum?id=3_hgF1NAXU7)
- **Point of Contact:** research@toloka.ai
### Dataset Summary
CrowdSpeech is the first publicly available large-scale dataset of ... | toloka/CrowdSpeech | [
"task_categories:summarization",
"task_categories:automatic-speech-recognition",
"task_categories:text2text-generation",
"annotations_creators:found",
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"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"license:cc-... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["found"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["summarization", "automatic-speech-recognition", "text2text-generation"], "tas... | 2022-12-06T15:24:36+00:00 | [
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# Dataset Card for CrowdSpeech
## Dataset Description
- Repository: GitHub
- Paper: Paper
- Point of Contact: research@URL
### Dataset Summary
CrowdSpeech is the first publicly available large-scale dataset of crowdsourced audio transcriptions.
The dataset was constructed by annotation LibriSpeech on Toloka crowdso... | [
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0849275e6db59dd3b66c68ca63d848d55cd897f8 |
# Dataset Card for VoxDIY RusNews
## Dataset Description
- **Repository:** [GitHub](https://github.com/Toloka/CrowdSpeech)
- **Paper:** [Paper](https://openreview.net/forum?id=3_hgF1NAXU7)
- **Point of Contact:** research@toloka.ai
### Dataset Summary
VoxDIY RusNews is the first publicly available large-scale datas... | toloka/VoxDIY-RusNews | [
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# Dataset Card for VoxDIY RusNews
## Dataset Description
- Repository: GitHub
- Paper: Paper
- Point of Contact: research@URL
### Dataset Summary
VoxDIY RusNews is the first publicly available large-scale dataset of crowdsourced audio transcriptions in Russian language.
The dataset was constructed by annotating aud... | [
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5f1671c0b6836490847ec9e06fefd00f24a8a794 | [Needs More Information]
# Dataset Card for common_voice
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-... | tommy19970714/common_voice | [
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# Dataset Card for common_voice
## 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 and Sensitive Information
- Co... | [
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0933803eb0f5956b2da9d2d7b6805fa31b18a6c8 | # CodeParrot Dataset
This is the train split of the CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the [NLP with Transformers book](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/). You can ... | transformersbook/codeparrot-train | [
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| # CodeParrot Dataset
This is the train split of the CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the NLP with Transformers book. You can find the full code in the accompanying Github repository.
See the full dataset for more... | [
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08cfe185552c1c9c8880d696862feb52506458fc | # CodeParrot Dataset
This is the validation split of the CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the [NLP with Transformers book](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/). You... | transformersbook/codeparrot-valid | [
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| # CodeParrot Dataset
This is the validation split of the CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the NLP with Transformers book. You can find the full code in the accompanying Github repository.
See the full dataset for... | [
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1525880546992f12c04c5ae4cf5c4d1e80ca04a4 |
# CodeParrot 🦜 Dataset
## What is it?
This is the full CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the [NLP with Transformers book](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/). You... | transformersbook/codeparrot | [
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# CodeParrot Dataset
## What is it?
This is the full CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the NLP with Transformers book. You can find the full code in the accompanying Github repository.
## Creation
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# Dataset Card for [TuringBench]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... | turingbench/TuringBench | [
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# Dataset Card for [TuringBench]
## 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
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## Dataset Description
- **Homepage:** http://hatespeech.berkeley.edu
- **Paper:** https://arxiv.org/abs/2009.10277
# Dataset card for _Measuring Hate Speech_
This is a public release of the dataset described in Kennedy et al. (2020) and Sachdeva et al. (2022), consisting of 39,565 comments annotated by 7,912 annot... | ucberkeley-dlab/measuring-hate-speech | [
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## Dataset Description
- Homepage: URL
- Paper: URL
# Dataset card for _Measuring Hate Speech_
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7b56c6cb1c9c8523249f407044c838660df3811a |
# Dataset Card for Vietnamese Students’ Feedback Corpus
## 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 ... | uitnlp/vietnamese_students_feedback | [
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| Dataset Card for Vietnamese Students’ Feedback Corpus
=====================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data S... | [
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8b1b4e10a63160594dcf6bd4ad38e06d1fc3bef8 | # Dataset Summary
**mMARCO** is a multilingual version of the [MS MARCO passage ranking dataset](https://microsoft.github.io/msmarco/).
For more information, checkout our papers:
* [**mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset**](https://arxiv.org/abs/2108.13897)
* [**A cost-benefit ana... | unicamp-dl/mmarco | [
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#arxiv-2108.13897 #arxiv-2105.06813 #region-us
| Dataset Summary
===============
mMARCO is a multilingual version of the MS MARCO passage ranking dataset.
For more information, checkout our papers:
* mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset
* A cost-benefit analysis of cross-lingual transfer methods
The first (deprecated) version c... | [
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fda452a7fbfd9550db2f78d9d98e6b3ec16734df | # Dataset Summary
**mRobust** is a multilingual version of the [TREC 2004 Robust passage ranking dataset](https://trec.nist.gov/data/robust/04.guidelines.html).
For more information, checkout our papers:
* [**mRobust: A Multilingual Version of the MS MARCO Passage Ranking Dataset**](https://arxiv.org/abs/2209.13738)... | unicamp-dl/mrobust | [
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#arxiv-2209.13738 #arxiv-2105.06813 #region-us
| Dataset Summary
===============
mRobust is a multilingual version of the TREC 2004 Robust passage ranking dataset.
For more information, checkout our papers:
* mRobust: A Multilingual Version of the MS MARCO Passage Ranking Dataset
* A cost-benefit analysis of cross-lingual transfer methods
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839230b8ff8b06ae3707e3b4ea418b34600061f5 |
# Dataset Card Creation Guide
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboa... | usc-isi/WikiConvert | [
"task_categories:fill-mask",
"task_categories:other",
"task_categories:text-generation",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|wikipedia",
"language:en",
... | 2022-03-02T23:29:22+00:00 | {"language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|wikipedia"], "task_categories": ["fill-mask", "other", "text-generation"], "task_ids": ["language-modeling", "masked-language-modeling"], "pretty_n... | 2022-10-24T16:40:43+00:00 | [] | [
"en"
] | TAGS
#task_categories-fill-mask #task_categories-other #task_categories-text-generation #task_ids-language-modeling #task_ids-masked-language-modeling #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|wikipedia #language-English #license-mit #numeracy #natural-la... | Dataset Card Creation Guide
===========================
Table of Contents
-----------------
* Dataset Card Creation Guide
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
+ Data... | [
"### Dataset Summary\n\n\nWiki-Convert is a 900,000+ sentences dataset of precise number annotations from English Wikipedia. It relies on Wiki contributors' annotations in the form of a {{Convert}} template.",
"### Supported Tasks and Leaderboards\n\n\n* 'sequence-modeling': The dataset can be used to train a mod... | [
"TAGS\n#task_categories-fill-mask #task_categories-other #task_categories-text-generation #task_ids-language-modeling #task_ids-masked-language-modeling #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|wikipedia #language-English #license-mit #numeracy #natu... | [
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ca7a00ac18d9c120c43e240aa1fc1bcec2a854e0 | # Preprocessed CANARD
Voskarides et al. have trained a Query Resolution Term Classification (QuReTec) model using the CANARD data set.
CANARD is a dataset for question-in-context rewriting that consists of questions each given in a dialog context together with a context-independent rewriting of the question. The conte... | uva-irlab/canard_quretec | [
"arxiv:2005.11723",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-06-26T15:33:00+00:00 | [
"2005.11723"
] | [] | TAGS
#arxiv-2005.11723 #region-us
| # Preprocessed CANARD
Voskarides et al. have trained a Query Resolution Term Classification (QuReTec) model using the CANARD data set.
CANARD is a dataset for question-in-context rewriting that consists of questions each given in a dialog context together with a context-independent rewriting of the question. The conte... | [
"# Preprocessed CANARD\nVoskarides et al. have trained a Query Resolution Term Classification (QuReTec) model using the CANARD data set.\n\nCANARD is a dataset for question-in-context rewriting that consists of questions each given in a dialog context together with a context-independent rewriting of the question. T... | [
"TAGS\n#arxiv-2005.11723 #region-us \n",
"# Preprocessed CANARD\nVoskarides et al. have trained a Query Resolution Term Classification (QuReTec) model using the CANARD data set.\n\nCANARD is a dataset for question-in-context rewriting that consists of questions each given in a dialog context together with a conte... | [
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253,
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"passage: TAGS\n#arxiv-2005.11723 #region-us \n# Preprocessed CANARD\nVoskarides et al. have trained a Query Resolution Term Classification (QuReTec) model using the CANARD data set.\n\nCANARD is a dataset for question-in-context rewriting that consists of questions each given in a dialog context together with a co... |
4e82e7eb2b051c93a927d9483afe9741d46d226d |
# TREC Cast 2019
[TREC Cast](http://www.treccast.ai) have released a document collection with topics and qrels of which a subset has been annotated such that it is suitable for multi-turn conversational search.
## Dataset statistics
- # Passages: 38,426,252
- # Topics: 20
- # Queries: 173
## Subsets
### CAR + MS... | uva-irlab/trec-cast-2019-multi-turn | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"language:en",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "language_bcp47": ["en-US"]} | 2022-10-25T08:56:59+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #multilinguality-monolingual #size_categories-10M<n<100M #language-English #region-us
|
# TREC Cast 2019
TREC Cast have released a document collection with topics and qrels of which a subset has been annotated such that it is suitable for multi-turn conversational search.
## Dataset statistics
- # Passages: 38,426,252
- # Topics: 20
- # Queries: 173
## Subsets
### CAR + MSMARCO Collection
Together ... | [
"# TREC Cast 2019 \n\nTREC Cast have released a document collection with topics and qrels of which a subset has been annotated such that it is suitable for multi-turn conversational search.",
"## Dataset statistics\n\n- # Passages: 38,426,252\n- # Topics: 20\n- # Queries: 173",
"## Subsets",
"### CAR + MSMARC... | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #multilinguality-monolingual #size_categories-10M<n<100M #language-English #region-us \n",
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248f523261b443cb10f619c1f42ae7d1b6895eb0 |
# Dataset Card for 12-factor
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Source Data](#source-data)
## Dataset Description
100+ news article URL scored on 12 different factors and assigned a single score
## Languages
The... | valurank/12-factor | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "task_categories": ["classification"], "task_ids": ["classification"]} | 2022-10-21T12:39:15+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for 12-factor
## Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Source Data
## Dataset Description
100+ news article URL scored on 12 different factors and assigned a single score
## Languages
The text in the dataset is in English
## Source Data
The dataset is manually... | [
"# Dataset Card for 12-factor",
"## Table of Contents\n- Dataset Description\n- Languages\n- Dataset Structure\n- Source Data",
"## Dataset Description\n\n100+ news article URL scored on 12 different factors and assigned a single score",
"## Languages\n\nThe text in the dataset is in English",
"## Source Da... | [
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59e427a5a2ed756bb9ceb121a41ba595c24c7e9e |
# Dataset Card for PoliticalBias
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Source Data](#source-data)
## Dataset Description
roughly 8200 articles written by the website’s editors, each article covering one topic with 3 ... | valurank/PoliticalBias | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "task_categories": ["classification"], "task_ids": ["classification"]} | 2022-10-21T12:38:13+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for PoliticalBias
## Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Source Data
## Dataset Description
roughly 8200 articles written by the website’s editors, each article covering one topic with 3 links that describe the same piece of news from different angles (usually on... | [
"# Dataset Card for PoliticalBias",
"## Table of Contents\n- Dataset Description\n- Languages\n- Dataset Structure\n- Source Data",
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"# Dataset Card for PoliticalBias",
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6d9846d674e8a4faec1062539fa59cde158dd3c3 |
# Dataset Card for news-12factor
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Source Data](#source-data)
- [Annotations](#annotations)
## Dataset Description
~20k articles labeled left, right, or center by the editors of al... | valurank/PoliticalBias_AllSides_Txt | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "task_categories": ["classification"], "task_ids": ["classification"]} | 2022-10-21T12:37:02+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for news-12factor
## Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Source Data
- Annotations
## Dataset Description
~20k articles labeled left, right, or center by the editors of URL.
## Languages
The text in the dataset is in English
## Dataset Structure
3 folders, w... | [
"# Dataset Card for news-12factor",
"## Table of Contents\n- Dataset Description\n- Languages\n- Dataset Structure\n- Source Data\n- Annotations",
"## Dataset Description\n\n~20k articles labeled left, right, or center by the editors of URL.",
"## Languages\n\nThe text in the dataset is in English",
"## Dat... | [
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f1f20a3da7b392df34fbb0e6760c45a76a654736 |
# Dataset Card for PoliticalBias_Sources
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Source Data](#source-data)
## Dataset Description
908 rows of data containing source name of an article, the source bias and the type of ... | valurank/PoliticalBias_Sources | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "task_categories": ["classification"], "task_ids": ["classification"]} | 2022-10-21T12:34:55+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for PoliticalBias_Sources
## Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Source Data
## Dataset Description
908 rows of data containing source name of an article, the source bias and the type of source
## Languages
The text in the dataset is in English
## Dataset Stru... | [
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07b6fb00c0591cbe67bfe089426f53eae947fa57 |
# Dataset Card for hate-multi
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Creation](#dataset-creation)
- [Source Data](#source-data)
## Dataset Description
### Dataset Summary
This dataset contains... | valurank/hate-multi | [
"task_categories:text-classification",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:derived",
"language:en",
"license:other",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": "other", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["derived"], "task_categories": ["text-classification"]} | 2022-10-25T08:57:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-derived #language-English #license-other #region-us
|
# Dataset Card for hate-multi
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Creation
- Source Data
## Dataset Description
### Dataset Summary
This dataset contains a collection of text labeled as hate speech (class 1) or not (class 0).
## Dataset Creation
The data... | [
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"##... | [
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f4573b39169bf35b045a334d3a8af21aaf705933 |
# Dataset Card for news-12factor
## Table of Contents
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Source Data](#source-data)
- [Annotations](#annotations)
## Dataset Description
80+ news articles with url, title, body text, scored on 12 qualit... | valurank/news-12factor | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"]} | 2022-10-21T12:35:36+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-multi-class-classification #multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for news-12factor
## Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Source Data
- Annotations
## Dataset Description
80+ news articles with url, title, body text, scored on 12 quality factors and assigned a single rank.
## Languages
The text in the dataset is in English
... | [
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"## Languages\n\nThe text in th... | [
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e753de990611be1c86814db557ec8a8fecccea58 |
# Dataset Card for hate-multi
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Creation](#dataset-creation)
- [Source Data](#source-data)
## Dataset Description
### Dataset Summary
This dataset contains... | valurank/offensive-multi | [
"task_categories:text-classification",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:derived",
"language:en",
"license:other",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": "other", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["derived"], "task_categories": ["text-classification"]} | 2022-10-25T08:57:14+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-derived #language-English #license-other #region-us
|
# Dataset Card for hate-multi
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Creation
- Source Data
## Dataset Description
### Dataset Summary
This dataset contains a collection of text labeled as offensive (class 1) or not (class 0).
## Dataset Creation
The dataset... | [
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9315319176c9787952fe616e77547287ee7cf875 | script can be found here: https://github.com/vasudevgupta7/bigbird
```python
DOC_STRIDE = 2048
MAX_LENGTH = 4096
SEED = 42
``` | vasudevgupta/bigbird-tokenized-natural-questions | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-05-04T05:47:51+00:00 | [] | [] | TAGS
#region-us
| script can be found here: URL
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
db71355e3b5bc188ea1eaf16e3e8846c5415b888 | Test data for my `Quick` | vasudevgupta/data | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-05-01T10:31:24+00:00 | [] | [] | TAGS
#region-us
| Test data for my 'Quick' | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
6064dd00b89457d5b0104472c9e47705312184c8 | Obtained using following code:
```python
from datasets import load_dataset
dataset = load_dataset("natural_questions", split="validation")
dataset.save_to_disk("natural-questions-validation")
``` | vasudevgupta/natural-questions-validation | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-05-04T17:25:07+00:00 | [] | [] | TAGS
#region-us
| Obtained using following code:
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
c75445b51b432ba9c7f95514e410b8fbadb892a3 | Support documents for building https://huggingface.co/vblagoje/bart_lfqa model
| vblagoje/lfqa_support_docs | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-30T10:28:31+00:00 | [] | [] | TAGS
#region-us
| Support documents for building URL model
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
fb8c5af3e97f49a827f2eeac4b4677bce882f92f | ShadowLink dataset is designed to evaluate the impact of entity overshadowing on the task of entity disambiguation.
Paper: "Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing" by Vera Provatorova, Svitlana Vakulenko, Samarth Bhargav, Evangelos Kanoulas. EMNLP 2021.
This... | vera-pro/ShadowLink | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-14T16:38:53+00:00 | [] | [] | TAGS
#region-us
| ShadowLink dataset is designed to evaluate the impact of entity overshadowing on the task of entity disambiguation.
Paper: "Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing" by Vera Provatorova, Svitlana Vakulenko, Samarth Bhargav, Evangelos Kanoulas. EMNLP 2021.
This... | [] | [
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f9be396f46b5f060005eb199d73de6ecb6fce2b2 | # NER for Icelandic - MIM-GOLD-NER splits
## MIM-GOLD-NER
The original MIM-GOLD-NER data is found at http://hdl.handle.net/20.500.12537/42
This repository packages the data for use with the Datasets library from hugginface.
## Old splits
*This is no longer in use.*
At the time of creation, the original data did ... | vesteinn/icelandic-ner-MIM-GOLD-NER | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-09-29T14:03:17+00:00 | [] | [] | TAGS
#region-us
| # NER for Icelandic - MIM-GOLD-NER splits
## MIM-GOLD-NER
The original MIM-GOLD-NER data is found at URL
This repository packages the data for use with the Datasets library from hugginface.
## Old splits
*This is no longer in use.*
At the time of creation, the original data did not have train, dev and test split... | [
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61eae7391a132cd6323cfb25a96f9c981a2f615a |
# Natural Questions in Icelandic
| vesteinn/icelandic-qa-NQiI | [
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"language:is",
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["curated"], "language_creators": ["curated"], "language": ["is"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["open-domain-qa", "extractive-qa"], "paperswithcode_id": "nqii", "pretty_n... | 2022-07-04T15:32:26+00:00 | [] | [
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7aa770fdd6a2639befc2867f7feadfc4a791db41 | # wiki-en-passages-20210101
This is a processed dump of the English Wikipedia from 2021-01-01. Each page has been splitted into paragraphs as they appear in the text. Lists, tables and headlines had been removed. In total it has 38,080,804 passages.
Further, each article contain meta-data on the number of languages... | vocab-transformers/wiki-en-passages-20210101 | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-24T17:09:32+00:00 | [] | [] | TAGS
#region-us
| # wiki-en-passages-20210101
This is a processed dump of the English Wikipedia from 2021-01-01. Each page has been splitted into paragraphs as they appear in the text. Lists, tables and headlines had been removed. In total it has 38,080,804 passages.
Further, each article contain meta-data on the number of languages... | [
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fe2b27aeec9a4e74e359082a9a5c2f40ad111180 |
# Dataset Card for vumichien/common_voice_large_jsut_jsss_css10
| vumichien/common_voice_large_jsut_jsss_css10 | [
"task_categories:automatic-speech-recognition",
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": [], "language_creators": ["expert-generated"], "language": ["ja"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["monolingual"], "source_datasets": {"common_voice": ["mozilla-foundation/common_voice_7_0"], "JSUT": ["Japanese speech corpus of Saruwatari-lab"], "JSSS": ["Japanese speech cor... | 2022-10-24T23:35:20+00:00 | [] | [
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# Dataset Card for vumichien/common_voice_large_jsut_jsss_css10
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11bef3dfce0ce107eb5e276373dcd28759ce85ee |
# Dataset Card for "imdb-javanese"
## 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 ... | w11wo/imdb-javanese | [
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["found"], "language_creators": ["machine-generated"], "language": ["jv"], "license": ["odbl"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "extended... | 2022-10-25T09:01:48+00:00 | [] | [
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| Dataset Card for "imdb-javanese"
================================
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
+ An... | [
"### Dataset Summary\n\n\nLarge Movie Review Dataset translated to Javanese. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unla... | [
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decea5bf4ca7c23d66f55702070fb325528d4b7d | # Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... | wanagenst/maslow-stories | [
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] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-29T23:14:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for [Dataset Name]
## 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
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0c31d59390719a2d53332194f2e768db99ac0474 |
# Dataset Card for LSOIE
## 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](#da... | wardenga/lsoie | [
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"license:mit",
"Open Information Extraction",
"arxiv:2101.11177",
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["extended|qa_srl"], "task_categories": ["text-retrieval"], "task_ids": [], "pretty_name": "LSOIE", "tags": ["Ope... | 2022-10-21T04:51:54+00:00 | [
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|
# Dataset Card for LSOIE
## Table of Contents
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9c4fd2e7c4968bc5b8b26e94e0bd2eaa69849873 | # Dataset Card for COVID-19-vaccine-attitude-tweets
## Dataset Description
- **Paper:** [Be Careful Who You Follow. The Impact of the Initial Set of Friends on COVID-19 Vaccine tweets](https://www.researchgate.net/publication/355726080_Be_Careful_Who_You_Follow_The_Impact_of_the_Initial_Set_of_Friends_on_COVID-19_Vacc... | webimmunization/COVID-19-vaccine-attitude-tweets | [
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"re... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["other"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["54KB"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification", "intent-classifi... | 2022-10-25T09:01:50+00:00 | [] | [
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| # Dataset Card for COVID-19-vaccine-attitude-tweets
## Dataset Description
- Paper: Be Careful Who You Follow. The Impact of the Initial Set of Friends on COVID-19 Vaccine tweets
- Point of Contact: Izabela Krysinska
### Dataset Summary
The dataset consists of 2564 manually annotated tweets related to COVID-19 vacci... | [
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042bdf645bc980c751e9b217cc77e47624394390 | # Dataset Card for the args.me corpus
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Usage](#dataset-usage)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#langu... | webis/args_me | [
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| # Dataset Card for the URL corpus
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Usage
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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- ... | [
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73b3cf841cb759a33cc71d2e4f176605012488d6 | # Dataset Card for ConcluGen
## Table of Contents
- [Dataset Card for ConcluGen](#dataset-card-for-conclugen)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)... | webis/conclugen | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-05-03T05:18:33+00:00 | [] | [] | TAGS
#region-us
| Dataset Card for ConcluGen
==========================
Table of Contents
-----------------
* Dataset Card for ConcluGen
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
+ Dataset... | [
"### Dataset Summary\n\n\nThe ConcluGen corpus is constructed for the task of argument summarization. It consists of 136,996 pairs of argumentative texts and their conclusions collected from the ChangeMyView subreddit, a web portal for argumentative discussions on controversial topics.\n\n\nThe corpus has three var... | [
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fcf173ce5e3d36bf92c1010e040e93b514ea9685 | # Webis MS MARCO Anchor Text 2022
The [Webis MS MARCO Anchor Text 2022 dataset](https://webis.de/data/webis-ms-marco-anchor-text-22.html) enriches Version 1 and 2 of the document collection of [MS MARCO](https://microsoft.github.io/msmarco/) with anchor text extracted from six [Common Crawl](https://commoncrawl.org/) ... | webis/ms-marco-anchor-text | [
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#region-us
| # Webis MS MARCO Anchor Text 2022
The Webis MS MARCO Anchor Text 2022 dataset enriches Version 1 and 2 of the document collection of MS MARCO with anchor text extracted from six Common Crawl snapshots. The six Common Crawl snapshots cover the years 2016 to 2021 (between 1.7-3.4 billion documents each). We sampled 1,0... | [
"# Webis MS MARCO Anchor Text 2022\n\nThe Webis MS MARCO Anchor Text 2022 dataset enriches Version 1 and 2 of the document collection of MS MARCO with anchor text extracted from six Common Crawl snapshots. The six Common Crawl snapshots cover the years 2016 to 2021 (between 1.7-3.4 billion documents each). We sampl... | [
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b04c8d1ceb2f5cd4588862100d08de323dccfbaa |
# Dataset Card for Wikimedia Wikipedia
## 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](#datas... | wikimedia/wikipedia | [
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# Dataset Card for Wikimedia Wikipedia
## 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
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- Annotations
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f31a033f5f3d2107b3e864e578710df104a00baa |
# Dataset Card for Wikimedia Wikisource
## 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](#data... | wikimedia/wikisource | [
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# Dataset Card for Wikimedia Wikisource
## 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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4bd9103ad5f24d44db806d40c94c8b9ec116ad05 |
# Dataset
This dataset contains positive , negative and notr sentences from several data sources given in the references. In the most sentiment models , there are only two labels; positive and negative. However , user input can be totally notr sentence. For such cases there were no data I could find. Therefore I creat... | winvoker/turkish-sentiment-analysis-dataset | [
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|
# Dataset
This dataset contains positive , negative and notr sentences from several data sources given in the references. In the most sentiment models , there are only two labels; positive and negative. However , user input can be totally notr sentence. For such cases there were no data I could find. Therefore I creat... | [
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17351fd223d575b909d038d67234611c4960d1eb | # Dataset Card for "nostradamus-propheties"
## Dataset Description
### Dataset Summary
The Nostradamus propheties dataset is a set of structured files containing the "Propheties" by Nostradamus, translated in modern English.
The original text consists of 10 "Centuries", every century containing 100 numbered quatrai... | wpicard/nostradamus-propheties | [
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": [], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["sequence-modeling"], "task_ids": ["language-modeling"], "pretty_name": "nostradamus-propheties"... | 2022-10-23T03:54:07+00:00 | [] | [
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] | TAGS
#task_ids-language-modeling #annotations_creators-no-annotation #multilinguality-monolingual #size_categories-unknown #language-English #license-unknown #region-us
| # Dataset Card for "nostradamus-propheties"
## Dataset Description
### Dataset Summary
The Nostradamus propheties dataset is a set of structured files containing the "Propheties" by Nostradamus, translated in modern English.
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7f9bc116cf52a133d0e0e4c05f3af16319c8f98c |
# Dataset Card for cantonese-mandarin-translations
## 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 Struc... | botisan-ai/cantonese-mandarin-translations | [
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"conditional-text-generation",... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["zh"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["translation"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["text2text-generation", "translation"], "task_ids": [], "pretty_nam... | 2024-01-13T03:30:12+00:00 | [] | [
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|
# Dataset Card for cantonese-mandarin-translations
## 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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0f52f7a38cc210a873daa7207cb023a15d0f7362 | # notebookCDG
This dataset designed for a recent published paper([HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks](https://arxiv.org/abs/2104.01002)) EMNLP'21 Finding.
You can directly use dataset_notebook.pkl to run the code from the ... | xuyeliu/notebookCDG | [
"arxiv:2104.01002",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-31T18:13:39+00:00 | [
"2104.01002"
] | [] | TAGS
#arxiv-2104.01002 #region-us
| # notebookCDG
This dataset designed for a recent published paper(HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks) EMNLP'21 Finding.
You can directly use dataset_notebook.pkl to run the code from the github repository
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5eb45e864fc638e587e87b27063afada64e1794a | Meine wunderschönen Haare wehen im Morgenwind | yannobla/Sunshine | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-09-07T10:42:47+00:00 | [] | [] | TAGS
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6414bae7a39b5f41feab2fd6a1cb773033254c93 | ## Usage
For testing purpose, you can use the hosted dummy dataset (`dummy_data`) as follows:
```
import datasets
ds = datasets.load_dataset("ydshieh/coco_dataset_script", "2017", data_dir="./dummy_data/")
```
For using the COCO dataset (2017), you need to download it manually first:
```
wget http://images.cocodatas... | ydshieh/coco_dataset_script | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-14T17:32:43+00:00 | [] | [] | TAGS
#region-us
| ## Usage
For testing purpose, you can use the hosted dummy dataset ('dummy_data') as follows:
For using the COCO dataset (2017), you need to download it manually first:
Then to load the dataset:
| [
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3673fb0d96829eb005d6d0816ed0be21bbac249f | Thyroid ultrasound images, classified into 5 classes that correspond to the European EU-TIRADS scale, this consists of:
EU-TIRADS 1: no nodule
EU-TIRADS 2: benign
EU-TIRADS 3: low risk (oval, smooth margin, iso / hyperechoic, no high risk features)
EU-TIRADS 4: intermediate risk (oval, smooth margin, mildly hypoechoic... | yharyarias/tirads_tiroides | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-24T01:53:21+00:00 | [] | [] | TAGS
#region-us
| Thyroid ultrasound images, classified into 5 classes that correspond to the European EU-TIRADS scale, this consists of:
EU-TIRADS 1: no nodule
EU-TIRADS 2: benign
EU-TIRADS 3: low risk (oval, smooth margin, iso / hyperechoic, no high risk features)
EU-TIRADS 4: intermediate risk (oval, smooth margin, mildly hypoechoic... | [] | [
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109f542a17db9421961979bb3a30717c46420b67 |
# Dataset Card for Clean Dutch mC4
## Table of Contents
- [Dataset Card for Clean](#dataset-card-for-mc4)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Preprocessing](#preprocessing)
- [Languages](#languages)
- [Data... | yhavinga/mc4_nl_cleaned | [
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"size_categories:n<1K",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["nl", "en"], "license": ["odc-by"], "multilinguality": ["monolingual", "en-nl"], "size_categories": ["n<1K", "1K<n<10K", "10K<n<100K", "100K<n<1M", "1M<n<10M", "10M<n<100M", "100M<n<1B", "1B<n<10B"], "source_datasets": ["extended"]... | 2024-01-02T13:45:07+00:00 | [
"1910.10683"
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"nl",
"en"
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================================
Table of Contents
-----------------
* Dataset Card for Clean
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Preprocessing
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
+ Dataset Creation
... | [
"### Dataset Summary\n\n\nA cleaned version (151GB) of the Dutch part (277GB) of the C4 multilingual dataset (mC4).\nWhile this dataset is monolingual, it is possible to download 'en-nl' interleaved data, see the Dataset Config section below.\nBased on the Common Crawl dataset.\nThe original version was prepared by... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #multilinguality-en-nl #size_categories-n<1K #size_categories-1K<n<10K #size_categories-10K<n<100K #size_categories-100K<n<1M #size_categories-1M<n<10M #size_... | [
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9111d6987c89a76a1a640bfc661ccdb712e9e4cd | https://www.geogebra.org/m/cwcveget
https://www.geogebra.org/m/b8dzxk6z
https://www.geogebra.org/m/nqanttum
https://www.geogebra.org/m/pd3g8a4u
https://www.geogebra.org/m/jw8324jz
https://www.geogebra.org/m/wjbpvz5q
https://www.geogebra.org/m/qm3g3ma6
https://www.geogebra.org/m/sdajgph8
https://www.geogebra.org/m/e3ghh... | yluisfern/PBU | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-04-02T15:39:30+00:00 | [] | [] | TAGS
#region-us
| URL
URL
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URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
06ee53dad2bab38ab0c45f13cd6d3c1c85d640ee | - hoge
- fuga | yonesuke/Ising2D | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-18T11:50:23+00:00 | [] | [] | TAGS
#region-us
| - hoge
- fuga | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
3368ab40c719d3fc556a2d11b8c1d32fac9278be | This dataset contains scripts for all episodes of Rick and Morty season 1,2, and 3.
Columns : index, season no., episode no., episode name, (character) name, line (dialogue) | ysharma/rickandmorty | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-02T00:45:54+00:00 | [] | [] | TAGS
#region-us
| This dataset contains scripts for all episodes of Rick and Morty season 1,2, and 3.
Columns : index, season no., episode no., episode name, (character) name, line (dialogue) | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
86de7d45936fe0885b6783dff6bdd6e6eca8eff0 |
# Dataset Card for annotated_reference_strings
## 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... | yuanchuan/annotated_reference_strings | [
"task_categories:token-classification",
"task_ids:parsing",
"annotations_creators:other",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["other"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["parsing"], "pretty_name": "Annotated Refere... | 2022-10-26T13:53:23+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #task_ids-parsing #annotations_creators-other #language_creators-found #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for annotated_reference_strings
## 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
- Anno... | [
"# Dataset Card for annotated_reference_strings",
"## 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 Rationale\n - ... | [
"TAGS\n#task_categories-token-classification #task_ids-parsing #annotations_creators-other #language_creators-found #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n",
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14ab48911e45af72b8aec9f6eda9906694c3f094 |
# Italian Male Voice
This dataset is an Italian version of [LJSpeech](https://keithito.com/LJ-Speech-Dataset/), that merge all female audio of the same speaker finded into [M-AILABS Speech Dataset](https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/).
This dataset contains 8h 23m of one speacker recorded at 160... | z-uo/female-LJSpeech-italian | [
"multilinguality:monolingual",
"language:it",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["it"], "multilinguality": ["monolingual"], "task_categories": ["tts"], "task_ids": ["tts"]} | 2022-10-23T03:56:44+00:00 | [] | [
"it"
] | TAGS
#multilinguality-monolingual #language-Italian #region-us
|
# Italian Male Voice
This dataset is an Italian version of LJSpeech, that merge all female audio of the same speaker finded into M-AILABS Speech Dataset.
This dataset contains 8h 23m of one speacker recorded at 16000Hz. This is a valid choiche to train an italian TTS deep model with female voice. | [
"# Italian Male Voice\nThis dataset is an Italian version of LJSpeech, that merge all female audio of the same speaker finded into M-AILABS Speech Dataset.\n\nThis dataset contains 8h 23m of one speacker recorded at 16000Hz. This is a valid choiche to train an italian TTS deep model with female voice."
] | [
"TAGS\n#multilinguality-monolingual #language-Italian #region-us \n",
"# Italian Male Voice\nThis dataset is an Italian version of LJSpeech, that merge all female audio of the same speaker finded into M-AILABS Speech Dataset.\n\nThis dataset contains 8h 23m of one speacker recorded at 16000Hz. This is a valid cho... | [
19,
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"passage: TAGS\n#multilinguality-monolingual #language-Italian #region-us \n# Italian Male Voice\nThis dataset is an Italian version of LJSpeech, that merge all female audio of the same speaker finded into M-AILABS Speech Dataset.\n\nThis dataset contains 8h 23m of one speacker recorded at 16000Hz. This is a valid ... |
ac9f1f8c8831eb367b460ff1c87b991ad1996519 |
# Italian Male Voice
This dataset is an Italian version of [LJSpeech](https://keithito.com/LJ-Speech-Dataset/), that merge all male audio of the same speaker finded into [M-AILABS Speech Dataset](https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/).
This dataset contains 31h 45m of one speacker recorded at 1600... | z-uo/male-LJSpeech-italian | [
"multilinguality:monolingual",
"language:it",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["it"], "multilinguality": ["monolingual"], "task_categories": ["tts"], "task_ids": ["tts"]} | 2022-10-23T03:57:26+00:00 | [] | [
"it"
] | TAGS
#multilinguality-monolingual #language-Italian #region-us
|
# Italian Male Voice
This dataset is an Italian version of LJSpeech, that merge all male audio of the same speaker finded into M-AILABS Speech Dataset.
This dataset contains 31h 45m of one speacker recorded at 16000Hz. This is a valid choiche to train an italian TTS deep model with male voice. | [
"# Italian Male Voice\nThis dataset is an Italian version of LJSpeech, that merge all male audio of the same speaker finded into M-AILABS Speech Dataset.\n\nThis dataset contains 31h 45m of one speacker recorded at 16000Hz. This is a valid choiche to train an italian TTS deep model with male voice."
] | [
"TAGS\n#multilinguality-monolingual #language-Italian #region-us \n",
"# Italian Male Voice\nThis dataset is an Italian version of LJSpeech, that merge all male audio of the same speaker finded into M-AILABS Speech Dataset.\n\nThis dataset contains 31h 45m of one speacker recorded at 16000Hz. This is a valid choi... | [
19,
77
] | [
"passage: TAGS\n#multilinguality-monolingual #language-Italian #region-us \n# Italian Male Voice\nThis dataset is an Italian version of LJSpeech, that merge all male audio of the same speaker finded into M-AILABS Speech Dataset.\n\nThis dataset contains 31h 45m of one speacker recorded at 16000Hz. This is a valid c... |
d73d22a877588114280072b6639292f9c3a99e5b |
# Squad-it
This dataset is an adapted version of that [squad-it](https://github.com/crux82/squad-it) to train on HuggingFace models.
It contains:
- train samples: 87599
- test samples : 10570
This dataset is for question answering and his format is the following:
```
[
{
"answers": [
{
"answer_st... | z-uo/squad-it | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"multilinguality:monolingual",
"size_categories:8k<n<10k",
"language:it",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["it"], "multilinguality": ["monolingual"], "size_categories": ["8k<n<10k"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"]} | 2022-10-25T09:01:57+00:00 | [] | [
"it"
] | TAGS
#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-8k<n<10k #language-Italian #region-us
|
# Squad-it
This dataset is an adapted version of that squad-it to train on HuggingFace models.
It contains:
- train samples: 87599
- test samples : 10570
This dataset is for question answering and his format is the following:
It can be used to train many models like T5, Bert, Distilbert... | [
"# Squad-it\nThis dataset is an adapted version of that squad-it to train on HuggingFace models.\n\nIt contains:\n- train samples: 87599\n- test samples : 10570\n\nThis dataset is for question answering and his format is the following:\n\n\nIt can be used to train many models like T5, Bert, Distilbert..."
] | [
"TAGS\n#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-8k<n<10k #language-Italian #region-us \n",
"# Squad-it\nThis dataset is an adapted version of that squad-it to train on HuggingFace models.\n\nIt contains:\n- train samples: 87599\n- test samples : 105... | [
54,
80
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"passage: TAGS\n#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-8k<n<10k #language-Italian #region-us \n# Squad-it\nThis dataset is an adapted version of that squad-it to train on HuggingFace models.\n\nIt contains:\n- train samples: 87599\n- test samples : ... |
beefaac934f54882041d2840222dbd0b7f48ea34 | annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
languages:
- en
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- tableqa, data2text
task_ids:
- tableqa | zhoujun/hitab | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-08T08:35:57+00:00 | [] | [] | TAGS
#region-us
| annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
languages:
- en
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- tableqa, data2text
task_ids:
- tableqa | [] | [
"TAGS\n#region-us \n"
] | [
6
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b37680e9413ca148de6f60b3c4b9c956a11974c4 |
# Dataset Card
## Dataset Summary
We split [the original xquad dataset] (https://github.com/deepmind/xquad) into subsets.
We keep the original data format.
## Supported Tasks
extractive question answering
## Language
Thai
## Dataset Split
There are 876/161/153 question-answer pairs from 34/7/7 articles for train/... | zhufy/xquad_split | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-24T02:29:43+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card
## Dataset Summary
We split [the original xquad dataset] (URL into subsets.
We keep the original data format.
## Supported Tasks
extractive question answering
## Language
Thai
## Dataset Split
There are 876/161/153 question-answer pairs from 34/7/7 articles for train/validation/test separately.
| [
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"## Dataset Split\nThere are 876/161/153 question-answer pairs from 34/7/7 articles for train/valid... | [
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c574d814c1502e2cdbe22ad61ae0e56013f08a9a | # AutoNLP Dataset for project: traffic_nlp_binary
## 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... | zwang199/autonlp-data-traffic_nlp_binary | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2022-10-25T09:02:03+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoNLP Dataset for project: traffic\_nlp\_binary
=================================================
Table of content
----------------
* Dataset Description
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
Dataset Descritpion
-------------------
This dataset has been automatically... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\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 #language-English #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\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 f... | [
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"passage: TAGS\n#task_categories-text-classification #language-English #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\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 ... |
ad25d57e9499f8417e25ac06dd57f6010786aa65 |
# 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... | fancyerii/test | [
"task_categories:text-classification",
"task_ids:semantic-similarity-classification",
"size_categories:10K<n<100K",
"region:us"
] | 2022-03-03T07:42:22+00:00 | {"annotations_creators": [], "language_creators": [], "language": [], "license": [], "multilinguality": [], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["semantic-similarity-classification"], "pretty_name": "demo"} | 2022-10-25T09:02:14+00:00 | [] | [] | TAGS
#task_categories-text-classification #task_ids-semantic-similarity-classification #size_categories-10K<n<100K #region-us
|
# Dataset Card for [Dataset Name]
## 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
- P... | [
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67ebcf8c69b45feb3883d695f04227078a6c9da9 | # Dataset Card for anime-faces
## 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)
- [Da... | huggan/anime-faces | [
"license:cc0-1.0",
"region:us"
] | 2022-03-03T13:15:34+00:00 | {"license": "cc0-1.0"} | 2022-03-22T10:01:22+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
| # Dataset Card for anime-faces
## 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 and Sensitive Info... | [
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f0f49db9aeb2fe8e7640ae7ee10da1582ecd9569 | # GEM Submission
Submission name: This is a test
| GEM-submissions/lewtun__this-is-a-test__1646314818 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-03T13:40:20+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "This is a test", "tags": ["evaluation", "benchmark"]} | 2022-03-03T13:40:29+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test
| [
"# GEM Submission\n\nSubmission name: This is a test"
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2a1eb941a4459be7ac03c51e4c2875d938aee9bf | # GEM Submission
Submission name: This is a test
| GEM-submissions/lewtun__this-is-a-test__1646316929 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-03T14:15:31+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "This is a test", "tags": ["evaluation", "benchmark"]} | 2022-03-03T14:15:35+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test
| [
"# GEM Submission\n\nSubmission name: This is a test"
] | [
"TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n",
"# GEM Submission\n\nSubmission name: This is a test"
] | [
19,
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"passage: TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n# GEM Submission\n\nSubmission name: This is a test"
] |
d8ff10fc5ffd05877bf61ea19f0833565c5a6fd8 | # AnanyaSinhalaNERDataset
---
annotations_creators: []
language:
- si
license:
- mit
---
This is part of the dataset used in the paper: Manamini, S.A.P.M., Ahamed, A.F., Rajapakshe, R.A.E.C., Reemal, G.H.A., Jayasena, S., Dias, G.V. and Ranathunga, S., 2016, April. Ananya-a Named-Entity-Recognition (NER) system for Sin... | NLPC-UOM/AnanyaSinhalaNERDataset | [
"region:us"
] | 2022-03-04T08:32:54+00:00 | {} | 2022-10-25T09:02:18+00:00 | [] | [] | TAGS
#region-us
| # AnanyaSinhalaNERDataset
---
annotations_creators: []
language:
- si
license:
- mit
---
This is part of the dataset used in the paper: Manamini, S.A.P.M., Ahamed, A.F., Rajapakshe, R.A.E.C., Reemal, G.H.A., Jayasena, S., Dias, G.V. and Ranathunga, S., 2016, April. Ananya-a Named-Entity-Recognition (NER) system for Sin... | [
"# AnanyaSinhalaNERDataset\n---\nannotations_creators: []\nlanguage:\n- si\nlicense:\n- mit\n---\nThis is part of the dataset used in the paper: Manamini, S.A.P.M., Ahamed, A.F., Rajapakshe, R.A.E.C., Reemal, G.H.A., Jayasena, S., Dias, G.V. and Ranathunga, S., 2016, April. Ananya-a Named-Entity-Recognition (NER) s... | [
"TAGS\n#region-us \n",
"# AnanyaSinhalaNERDataset\n---\nannotations_creators: []\nlanguage:\n- si\nlicense:\n- mit\n---\nThis is part of the dataset used in the paper: Manamini, S.A.P.M., Ahamed, A.F., Rajapakshe, R.A.E.C., Reemal, G.H.A., Jayasena, S., Dias, G.V. and Ranathunga, S., 2016, April. Ananya-a Named-E... | [
6,
151
] | [
"passage: TAGS\n#region-us \n# AnanyaSinhalaNERDataset\n---\nannotations_creators: []\nlanguage:\n- si\nlicense:\n- mit\n---\nThis is part of the dataset used in the paper: Manamini, S.A.P.M., Ahamed, A.F., Rajapakshe, R.A.E.C., Reemal, G.H.A., Jayasena, S., Dias, G.V. and Ranathunga, S., 2016, April. Ananya-a Name... |
10e2ca5f1dc12387e94e13477c4da59e20584b59 | [Needs More Information]
# Dataset Card for GFS-Reforecast
## 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](#dat... | openclimatefix/gfs-reforecast | [
"region:us"
] | 2022-03-04T09:08:46+00:00 | {} | 2023-03-03T17:19:15+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for GFS-Reforecast
## 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 and Sensitive Information
- ... | [
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"TAGS\n#region-us \n",
"# Dataset Card for GFS-Reforecast",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotatio... | [
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"passage: TAGS\n#region-us \n# Dataset Card for GFS-Reforecast## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\... |
080f677a026e304c38666d759ef625d621dc8cb9 |
# Dataset Card for FiNER-139
## 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-instances)... | nlpaueb/finer-139 | [
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"language:en",
"license:cc-by-sa-4.0",
"arxiv:2203.06482",
"region:us"
] | 2022-03-04T10:00:23+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": [], "task_categories": ["structure-prediction", "named-entity-recognition", "entity-extractio... | 2022-10-23T04:05:03+00:00 | [
"2203.06482"
] | [
"en"
] | TAGS
#task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1M<n<10M #language-English #license-cc-by-sa-4.0 #arxiv-2203.06482 #region-us
| Dataset Card for FiNER-139
==========================
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 an... | [
"### Dataset Summary\n\n\n\n**FiNER-139** is comprised of 1.1M sentences annotated with **eXtensive Business Reporting Language (XBRL)** tags extracted from annual and quarterly reports of publicly-traded companies in the US. \nUnlike other entity extraction tasks, like named entity recognition (NER) or contract el... | [
"TAGS\n#task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1M<n<10M #language-English #license-cc-by-sa-4.0 #arxiv-2203.06482 #region-us \n",
"### Dataset Summary\n\n\n\n**FiNER-139** is comprised of 1.1M sente... | [
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9283dd0d667c67679d54ae59bf871e765e81a8d7 | # GEM Submission
Submission name: SeqPlan
| GEM-submissions/ratishsp__seqplan__1646397329 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-04T12:35:30+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "SeqPlan", "tags": ["evaluation", "benchmark"]} | 2022-03-04T12:35:32+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: SeqPlan
| [
"# GEM Submission\n\nSubmission name: SeqPlan"
] | [
"TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n",
"# GEM Submission\n\nSubmission name: SeqPlan"
] | [
19,
12
] | [
"passage: TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n# GEM Submission\n\nSubmission name: SeqPlan"
] |
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