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14aa5773afa135ba835cc5179bbc4a63657a42ae |
# Dataset Card for wisesight_sentiment
## 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-i... | wisesight_sentiment | [
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"source_datasets:original",
"language:th",
"license:cc0-1.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["th"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty... | 2024-01-18T11:18:25+00:00 | [] | [
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| Dataset Card for wisesight\_sentiment
=====================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ So... | [
"### Dataset Summary\n\n\nWisesight Sentiment Corpus: Social media messages in Thai language with sentiment label (positive, neutral, negative, question)\n\n\n* Released to public domain under Creative Commons Zero v1.0 Universal license.\n* Labels: {\"pos\": 0, \"neu\": 1, \"neg\": 2, \"q\": 3}\n* Size: 26,737 mes... | [
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76f6eba7d6b488ed8fe1f7ab80a87636898b2891 |
# Dataset Card for "wmt14"
## 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)
... | wmt14 | [
"task_categories:translation",
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"source_datasets:extended|europarl_bilingual",
"source_datasets:extended|giga_fren",
"source_datasets:extended|news_commentary",
"source_datase... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["cs", "de", "en", "fr", "hi", "ru"], "license": ["unknown"], "multilinguality": ["translation"], "size_categories": ["10M<n<100M"], "source_datasets": ["extended|europarl_bilingual", "extended|giga_fren", "extended|news_commentary"... | 2024-02-05T11:44:36+00:00 | [] | [
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========================
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
... | [
"### Dataset Summary\n\n\n\n**Warning:** There are issues with the Common Crawl corpus data ([We have contacted the WMT organizers, and in response, they have indicated that they do not have plans to update the Common Crawl corpus data. Their rationale pertains to the expectation that such data has been superseded,... | [
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355dc137508cca435c3f7386cda18439af8ab7e9 |
# Dataset Card for "wmt15"
## 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)
... | wmt15 | [
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"source_datasets:extended|giga_fren",
"source_datasets:extended|news_commentary",
"source_datase... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["cs", "de", "en", "fi", "fr", "ru"], "license": ["unknown"], "multilinguality": ["translation"], "size_categories": ["10M<n<100M"], "source_datasets": ["extended|europarl_bilingual", "extended|giga_fren", "extended|news_commentary"... | 2024-02-05T11:45:25+00:00 | [] | [
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========================
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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27ea1f6483dca29955adc6a9e7d8a3556fbb1aea |
# Dataset Card for "wmt16"
## 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)
... | wmt16 | [
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"source_datasets:extended|setimes",
"source_datasets... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["cs", "de", "en", "fi", "ro", "ru", "tr"], "license": ["unknown"], "multilinguality": ["translation"], "size_categories": ["10M<n<100M"], "source_datasets": ["extended|europarl_bilingual", "extended|news_commentary", "extended|seti... | 2024-02-05T11:42:08+00:00 | [] | [
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========================
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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5dc16aaa4afcd5e52ec433c19acbf19cdd388bf1 |
# Dataset Card for "wmt17"
## 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)
... | wmt17 | [
"task_categories:translation",
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"source_datasets:extended|setimes",
"source_datasets... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["cs", "de", "en", "fi", "lv", "ru", "tr", "zh"], "license": ["unknown"], "multilinguality": ["translation"], "size_categories": ["10M<n<100M"], "source_datasets": ["extended|europarl_bilingual", "extended|news_commentary", "extende... | 2024-02-05T11:42:39+00:00 | [] | [
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#task_categories-translation #annotations_creators-no-annotation #language_creators-found #multilinguality-translation #size_categories-10M<n<100M #source_datasets-extended|europarl_bilingual #source_datasets-extended|news_commentary #source_datasets-extended|setimes #source_datasets-extended|un_multi #language-Cz... | Dataset Card for "wmt17"
========================
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
... | [
"### Dataset Summary\n\n\n\n**Warning:** There are issues with the Common Crawl corpus data ([We have contacted the WMT organizers, and in response, they have indicated that they do not have plans to update the Common Crawl corpus data. Their rationale pertains to the expectation that such data has been superseded,... | [
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1e08da43f060af9c7fda51ea26c83c9602f38313 |
# Dataset Card for "wmt18"
## 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)
... | wmt18 | [
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"source_d... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["cs", "de", "en", "et", "fi", "kk", "ru", "tr", "zh"], "license": ["unknown"], "multilinguality": ["translation"], "size_categories": ["10M<n<100M"], "source_datasets": ["extended|europarl_bilingual", "extended|news_commentary", "e... | 2024-02-05T11:42:55+00:00 | [] | [
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========================
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
... | [
"### Dataset Summary\n\n\n\n**Warning:** There are issues with the Common Crawl corpus data ([We have contacted the WMT organizers, and in response, they have indicated that they do not have plans to update the Common Crawl corpus data. Their rationale pertains to the expectation that such data has been superseded,... | [
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7df8dc7e50241035742bfbb2bb9e62a35984e5d1 |
# Dataset Card for "wmt19"
## 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)
... | wmt19 | [
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"source_datasets:extended|news_commentary",
"source_datasets:extended|opus_paracrawl",
"source_d... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["cs", "de", "en", "fi", "fr", "gu", "kk", "lt", "ru", "zh"], "license": ["unknown"], "multilinguality": ["translation"], "size_categories": ["10M<n<100M"], "source_datasets": ["extended|europarl_bilingual", "extended|news_commentar... | 2024-02-05T11:43:11+00:00 | [] | [
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========================
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
... | [
"### Dataset Summary\n\n\n\n**Warning:** There are issues with the Common Crawl corpus data ([We have contacted the WMT organizers, and in response, they have indicated that they do not have plans to update the Common Crawl corpus data. Their rationale pertains to the expectation that such data has been superseded,... | [
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947003d8b96062f1c954e2398e717e99fa4c7264 |
# Dataset Card for WMT20 - MultiLingual Quality Estimation (MLQE) Task1
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-struct... | wmt20_mlqe_task1 | [
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"language:... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated", "machine-generated"], "language_creators": ["found"], "language": ["de", "en", "et", "ne", "ro", "ru", "si", "zh"], "license": ["unknown"], "multilinguality": ["translation"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|reddit", "extended|wikipedia"], "ta... | 2024-01-18T11:18:32+00:00 | [] | [
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# Dataset Card for WMT20 - MultiLingual Quality Estimation (MLQE) Task1
## 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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ae5cd66417e7b6c936e9eb0ce47cfef430629a15 |
# Dataset Card for WMT20 - MultiLingual Quality Estimation (MLQE) Task2
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-struc... | wmt20_mlqe_task2 | [
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"source_datasets:extended|wikipedia",
"language:de",
"langu... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated", "machine-generated"], "language_creators": ["found"], "language": ["de", "en", "zh"], "license": ["unknown"], "multilinguality": ["translation"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|wikipedia"], "task_categories": ["translation", "text-classificat... | 2024-01-18T11:18:34+00:00 | [
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# Dataset Card for WMT20 - MultiLingual Quality Estimation (MLQE) Task2
## 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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a382331a13d2abc25f281f907ba6748c9ff2d853 |
# Dataset Card for WMT20 - MultiLingual Quality Estimation (MLQE) Task3
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-struct... | wmt20_mlqe_task3 | [
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"language:en",
"language:fr",
"license:unknown",
"... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated", "machine-generated"], "language_creators": ["found"], "language": ["en", "fr"], "license": ["unknown"], "multilinguality": ["translation"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|amazon_us_reviews"], "task_categories": ["translation"], "task_ids": []... | 2024-01-18T11:18:35+00:00 | [] | [
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|
# Dataset Card for WMT20 - MultiLingual Quality Estimation (MLQE) Task3
## 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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861aac88b2c6247dd93ade8b1c189ce714627750 |
# Dataset Card for "wmt_t2t"
## 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)
... | wmt_t2t | [
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"source_datasets:extended|news_commentary",
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"source_d... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["de", "en"], "license": ["unknown"], "multilinguality": ["translation"], "size_categories": ["10M<n<100M"], "source_datasets": ["extended|europarl_bilingual", "extended|news_commentary", "extended|opus_paracrawl", "extended|un_mult... | 2024-02-05T11:41:05+00:00 | [] | [
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===========================
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
+ Annotat... | [
"### Dataset Summary\n\n\nThe WMT EnDe Translate dataset used by the Tensor2Tensor library.\n\n\nTranslation dataset based on the data from URL.\n\n\nVersions exist for different years using a combination of data\nsources. The base 'wmt' allows you to create a custom dataset by choosing\nyour own data/language pair... | [
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be8fbd57399293da6f9aad56a793bce5bf1fd30e |
# Dataset Card for "wnut_17"
## 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)
... | wnut_17 | [
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"language:en",
"license:cc-by-4.0",
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "paperswit... | 2024-01-18T11:18:37+00:00 | [] | [
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| Dataset Card for "wnut\_17"
===========================
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
+ Annotat... | [
"### Dataset Summary\n\n\nWNUT 17: Emerging and Rare entity recognition\n\n\nThis shared task focuses on identifying unusual, previously-unseen entities in the context of emerging discussions.\nNamed entities form the basis of many modern approaches to other tasks (like event clustering and summarisation),\nbut rec... | [
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e708d4545d7ab10dd2c6b5b5b2a72ca28685dae2 |
# Dataset Card for Wongnai_Reviews
## Dataset Description
- **Repository:** https://github.com/wongnai/wongnai-corpus
### Dataset Summary
The Wongnai Review dataset contains restaurant reviews and ratings, almost entirely in Thai language.
The reviews are in 5 classes ranging from 1 to 5 stars.
This dataset was ... | wongnai_reviews | [
"task_categories:text-classification",
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"language:th",
"license:lgpl-3.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["th"], "license": ["lgpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_name": "W... | 2024-01-18T11:18:39+00:00 | [] | [
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|
# Dataset Card for Wongnai_Reviews
## Dataset Description
- Repository: URL
### Dataset Summary
The Wongnai Review dataset contains restaurant reviews and ratings, almost entirely in Thai language.
The reviews are in 5 classes ranging from 1 to 5 stars.
This dataset was featured in a Kaggle challenge URL
### La... | [
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2858acc155d677e3955af0dcb3ececfec992df4b |
# Dataset Card for Wizard-of-Oz
## 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-instance... | woz_dialogue | [
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"language_creators:crowdsourced... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["de", "en", "it"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask", "token-classification", "tex... | 2024-01-18T11:18:40+00:00 | [
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# Dataset Card for Wizard-of-Oz
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive ... | [
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9edde8605d398ce002ea19868423d4962580d7db |
# Dataset Card for wrbsc
## 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)
- ... | wrbsc | [
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"language:pl",
"license:cc-by-sa-3.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["pl"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["semantic-similarity-classificati... | 2024-01-18T11:18:41+00:00 | [] | [
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|
# Dataset Card for wrbsc
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Informa... | [
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810604b9ad3aafdc6144597fdaa40f21a6f5f3de |
# Dataset Card for "x_stance"
## 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)... | x_stance | [
"task_categories:text-classification",
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"language:de",
"language:en",
"language:fr",
"language:it",
"license:cc-by-nc-4.0",
"stance-dete... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["de", "en", "fr", "it"], "license": ["cc-by-nc-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "papersw... | 2024-01-18T11:18:42+00:00 | [
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============================
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
+ Annot... | [
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"### Supported Tasks and Leaderboards",
"### Languages\n\n\nThe comments are partly German, ... | [
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042f78955ba48e6404616762fa6e05e839c3907a |
# Dataset Card for "xcopa"
## 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)
... | xcopa | [
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"source_datasets:extended|copa",
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"language:i... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["et", "ht", "id", "it", "qu", "sw", "ta", "th", "tr", "vi", "zh"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": ["extended|copa"], "task_categories"... | 2024-01-04T16:55:46+00:00 | [] | [
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========================
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
... | [
"### Dataset Summary\n\n\nXCOPA: A Multilingual Dataset for Causal Commonsense Reasoning\nThe Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across\nlanguages. The dataset is the translation and reannotation ... | [
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f691f311a11f84773a899e9bfc7da2bae51b0b02 |
# Dataset Card for X-CSR
## 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... | xcsr | [
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"source_datasets:extended|c... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced", "machine-generated"], "language": ["ar", "de", "en", "es", "fr", "hi", "it", "ja", "nl", "pl", "pt", "ru", "sw", "ur", "vi", "zh"], "license": ["mit"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets"... | 2024-01-04T17:03:17+00:00 | [
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# Dataset Card for X-CSR
## 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
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8003c4161c1f4072c3a4acb55f6e2690c7e08553 |
# Dataset Card for xed_english_finnish
## 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-i... | xed_en_fi | [
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"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:multilingual",
"size_catego... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en", "fi"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K", "1K<n<10K"], "source_datasets": ["extended|other-OpenSubtitles2016"], "task_categories": ["text-classification"], "tas... | 2024-01-18T11:18:43+00:00 | [
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# Dataset Card for xed_english_finnish
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sen... | [
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11926279ebd121c823cb5511ede5c1789764870b |
# Dataset Card for XGLUE
## 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)
... | xglue | [
"task_categories:question-answering",
"task_categories:summarization",
"task_categories:text-classification",
"task_categories:text2text-generation",
"task_categories:token-classification",
"task_ids:acceptability-classification",
"task_ids:extractive-qa",
"task_ids:named-entity-recognition",
"task_... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated", "found", "machine-generated"], "language_creators": ["crowdsourced", "expert-generated", "found", "machine-generated"], "language": ["ar", "bg", "de", "el", "en", "es", "fr", "hi", "it", "nl", "pl", "pt", "ru", "sw", "th", "tr", "ur", "vi", "zh"], "license":... | 2023-06-30T08:06:30+00:00 | [
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======================
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
... | [
"### Dataset Summary\n\n\nXGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained models with respect to\ncross-lingual natural language understanding and generation.\n\n\nXGLUE is composed of 11 tasks spans 19 languages. For each task, the training data is only available in Englis... | [
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b8dd5d7af51114dbda02c0e3f6133f332186418e |
# Dataset Card for "xnli"
## 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)
-... | xnli | [
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"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["ar", "bg", "de", "el", "en", "es", "fr", "hi", "ru", "sw", "th", "tr", "ur", "vi", "zh"], "paperswithcode_id": "xnli", "pretty_name": "Cross-lingual Natural Language Inference", "dataset_info": [{"config_name": "all_languages", "features": [{"name": "premise", "dtype": {"translation": {"languages": ["ar"... | 2024-01-05T08:30:52+00:00 | [] | [
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| Dataset Card for "xnli"
=======================
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
+ ... | [
"### Dataset Summary\n\n\nXNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two se... | [
"TAGS\n#language-Arabic #language-Bulgarian #language-German #language-Modern Greek (1453-) #language-English #language-Spanish #language-French #language-Hindi #language-Russian #language-Swahili (macrolanguage) #language-Thai #language-Turkish #language-Urdu #language-Vietnamese #language-Chinese #region-us \n",
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7089582c27fbbfda244f80bee17b3f1b5e8f28c3 |
# Dataset Card for XOR QA
## 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)
-... | xor_tydi_qa | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"annotations_creators:crowdsourced",
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"language_creators:found",
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"size_categories:10K<n<100K",
"source_datasets:original",
"source_datasets:extended|tydiqa",
"langu... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["expert-generated", "found"], "language": ["ar", "bn", "fi", "ja", "ko", "ru", "te"], "license": ["mit"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original", "extended|tydiqa"], "task_categories": ["ques... | 2024-01-18T11:18:45+00:00 | [
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#task_categories-question-answering #task_ids-open-domain-qa #annotations_creators-crowdsourced #language_creators-expert-generated #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #source_datasets-extended|tydiqa #language-Arabic #language-Bengali #langu... | Dataset Card for XOR QA
=======================
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
+ ... | [
"### Dataset Summary\n\n\nXOR-TyDi QA brings together for the first time information-seeking questions, open-retrieval QA, and multilingual QA to create a multilingual open-retrieval QA dataset that enables cross-lingual answer retrieval. It consists of questions written by information-seeking native speakers in 7 ... | [
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51adfef1c1287aab1d2d91b5bead9bcfb9c68583 |
# Dataset Card for "xquad"
## 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)
... | xquad | [
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... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["ar", "de", "el", "en", "es", "hi", "ro", "ru", "th", "tr", "vi", "zh"], "license": ["cc-by-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": ["extended|squad"], "task_c... | 2024-01-04T17:08:50+00:00 | [
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========================
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
... | [
"### Dataset Summary\n\n\nXQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together ... | [
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c6be7814d83f0bf3bfdf6858c2f7bb1d779b6440 |
# Dataset Card for [Dataset Name]
## 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-instan... | xquad_r | [
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"source_datasets:extended|xquad",
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"langu... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["ar", "de", "el", "en", "es", "hi", "ru", "th", "tr", "vi", "zh"], "license": ["cc-by-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|squad", "extended|xquad"], "task... | 2024-01-04T17:11:57+00:00 | [
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===============================
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
+... | [
"### Dataset Summary\n\n\nXQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive\nQA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each\nquestion appears in 11 different languages and has 11 parallel correct answers\nacross the languages.",
"### Supported Tasks and Le... | [
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40db7604fedb616a9d2b0673d11838fa5be8451c |
# Dataset Card for "xsum"
## 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)
-... | EdinburghNLP/xsum | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:unknown",
"arxiv:1808.08745",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": ["news-articles-summarization"], "paperswithcode_id": "... | 2023-04-05T12:45:25+00:00 | [
"1808.08745"
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"en"
] | TAGS
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| Dataset Card for "xsum"
=======================
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
+ ... | [
"### Dataset Summary\n\n\nExtreme Summarization (XSum) Dataset.\n\n\nThere are three features:\n\n\n* document: Input news article.\n* summary: One sentence summary of the article.\n* id: BBC ID of the article.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nDataset Structure\n-----------------",
... | [
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599e5d6a27b66410149bff3cea773fe3cb7f09c0 |
# Dataset Card for XSum Hallucination Annotations
## 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 Instanc... | xsum_factuality | [
"task_categories:summarization",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|other-xsum",
"language:en",
"license:cc-by-4.0",
"hallucinations",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|other-xsum"], "task_categories": ["summarization"], "task_ids": [], "pretty_name": "XSum Hall... | 2024-01-18T11:18:47+00:00 | [] | [
"en"
] | TAGS
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| Dataset Card for XSum Hallucination Annotations
===============================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Cura... | [
"### Dataset Summary\n\n\nNeural abstractive summarization models are highly prone to hallucinate content that is unfaithful to the input document. The popular metric such as ROUGE fails to show the severity of the problem. This dataset contains a large scale human evaluation of several neural abstractive summariza... | [
"TAGS\n#task_categories-summarization #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-extended|other-xsum #language-English #license-cc-by-4.0 #hallucinations #region-us \n",
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16076f13195ba20a65f3af3ca9fba9c843f12124 |
# Dataset Card for "xtreme"
## 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)
... | xtreme | [
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"task_ids:open-domain-qa",
"task_ids:natural-language-inf... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["af", "ar", "bg", "bn", "de", "el", "en", "es", "et", "eu", "fa", "fi", "fr", "he", "hi", "hu", "id", "it", "ja", "jv", "ka", "kk", "ko", "ml", "mr", "ms", "my", "nl", "pt", "ru", "sw", "ta", "te", "th", "tl", "tr", "ur", "vi", "yo", "zh"]... | 2024-01-18T11:18:48+00:00 | [
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#task_categories-multiple-choice #task_categories-question-answering #task_categories-token-classification #task_categories-text-classification #task_categories-text-retrieval #task_ids-multiple-choice-qa #task_ids-extractive-qa #task_ids-open-domain-qa #task_ids-natural-language-inference #task_ids-named-entity-r... | Dataset Card for "xtreme"
=========================
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... | [
"### Dataset Summary\n\n\nThe Cross-lingual Natural Language Inference (XNLI) corpus is a crowd-sourced collection of 5,000 test and\n2,500 dev pairs for the MultiNLI corpus. The pairs are annotated with textual entailment and translated into\n14 languages: French, Spanish, German, Greek, Bulgarian, Russian, Turkis... | [
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067bd1b85b2a38dd73642c3a42d97b08e340aa18 |
# Dataset Card for YahooAnswersQa
## 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-instan... | yahoo_answers_qa | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other-yahoo-webscope-l6",
"language:en",
"license:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|other-yahoo-webscope-l6"], "task_categories": ["question-answering"], "task_ids": ["open-domain-qa"], "pret... | 2024-01-18T11:18:49+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_ids-open-domain-qa #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|other-yahoo-webscope-l6 #language-English #license-unknown #region-us
|
# Dataset Card for YahooAnswersQa
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitiv... | [
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78fccffa043240c80e17a6b1da724f5a1057e8e5 |
# Dataset Card for "Yahoo Answers Topics"
## 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](#dat... | yahoo_answers_topics | [
"task_categories:text-classification",
"task_ids:topic-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:extended|other-yahoo-answers-corpus",
"language:en",
"license:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["extended|other-yahoo-answers-corpus"], "task_categories": ["text-classification"], "task_ids": ["topic-classification"... | 2024-01-18T11:18:50+00:00 | [] | [
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] | TAGS
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|
# Dataset Card for "Yahoo Answers Topics"
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and ... | [
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c10a301dd13257c3e5c307a0bee8a8826cb397e4 |
# Dataset Card for "yelp_polarity"
## 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-insta... | yelp_polarity | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"language:en",
"arxiv:1509.01626",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "paperswithcode_id": "yelp-review-polarity", "pretty_name": "YelpPolarity", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "1", "1": "... | 2024-01-18T11:18:51+00:00 | [
"1509.01626"
] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-sentiment-classification #language-English #arxiv-1509.01626 #region-us
| Dataset Card for "yelp\_polarity"
=================================
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 Dat... | [
"### Dataset Summary\n\n\nLarge Yelp Review Dataset.\nThis is a dataset for binary sentiment classification. We provide a set of 560,000 highly polar yelp reviews for training, and 38,000 for testing.\nORIGIN\nThe Yelp reviews dataset consists of reviews from Yelp. It is extracted\nfrom the Yelp Dataset Challenge 2... | [
"TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #language-English #arxiv-1509.01626 #region-us \n",
"### Dataset Summary\n\n\nLarge Yelp Review Dataset.\nThis is a dataset for binary sentiment classification. We provide a set of 560,000 highly polar yelp reviews for training, and 38... | [
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c1f9ee939b7d05667af864ee1cb066393154bf85 | ---
# Dataset Card for YelpReviewFull
## 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-in... | yelp_review_full | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
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"source_datasets:original",
"language:en",
"license:other",
"arxiv:1509.01626",
"region:u... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty... | 2024-01-04T17:14:53+00:00 | [
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| ---
# Dataset Card for YelpReviewFull
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sens... | [
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9ce94e2ad802ef2558cb8acdd0509cebce1c38c5 |
# Dataset Card for Yoruba BBC News Topic Classification dataset (yoruba_bbc_topics)
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#da... | yoruba_bbc_topics | [
"task_categories:text-classification",
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"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:yo",
"license:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["yo"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["topic-classification"], "pretty_name"... | 2024-01-18T11:18:52+00:00 | [] | [
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#task_categories-text-classification #task_ids-topic-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Yoruba #license-unknown #region-us
|
# Dataset Card for Yoruba BBC News Topic Classification dataset (yoruba_bbc_topics)
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Sou... | [
"# Dataset Card for Yoruba BBC News Topic Classification dataset (yoruba_bbc_topics)",
"## 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... | [
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5f5c76d9ea6a6a7205e53c842c61af719aa8b8c5 |
# Dataset Card for Yoruba GV NER Corpus
## 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-... | yoruba_gv_ner | [
"task_categories:token-classification",
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"multilinguality:monolingual",
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"source_datasets:original",
"language:yo",
"license:cc-by-3.0",
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["yo"], "license": ["cc-by-3.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognitio... | 2024-01-18T11:18:53+00:00 | [] | [
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] | TAGS
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|
# Dataset Card for Yoruba GV NER Corpus
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Se... | [
"# Dataset Card for Yoruba GV NER Corpus",
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a9aa4093a83833364a4f12dc6ccd2adb9c13e3b2 |
# Dataset Card for Yorùbá Text C3
## 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-instan... | yoruba_text_c3 | [
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"language:y... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["yo"], "license": ["cc-by-nc-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "m... | 2023-06-16T14:06:58+00:00 | [] | [
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# Dataset Card for Yorùbá Text C3
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitiv... | [
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3e9d9210f5d748d4b209f7c74c8e62e131d907f3 |
# Dataset Card for wordsim-353 in Yorùbá (yoruba_wordsim353)
## 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)
- [D... | yoruba_wordsim353 | [
"task_categories:text-classification",
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"li... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["expert-generated"], "language": ["en", "yo"], "license": ["unknown"], "multilinguality": ["multilingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["text-scoring", "semantic-si... | 2024-01-18T11:18:55+00:00 | [] | [
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"yo"
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|
# Dataset Card for wordsim-353 in Yorùbá (yoruba_wordsim353)
## 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
- Annotation... | [
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e413f330a48375ccb3be0980d43337089d83771b |
# Dataset Card for YouTube Caption Corrections
## 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]... | youtube_caption_corrections | [
"task_categories:other",
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"... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated", "machine-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["other", "text-generation", "fill-mask"], "t... | 2024-01-18T11:18:56+00:00 | [] | [
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# Dataset Card for YouTube Caption Corrections
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal... | [
"# Dataset Card for YouTube Caption Corrections",
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a6497d853fdbface91ea06b2e1acce5bb0cba03d |
# Dataset Card for "ZEST: ZEroShot learning from Task descriptions"
## 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)... | zest | [
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"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"lang... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering", "token-classification"], "task_ids": ["closed-... | 2024-01-18T11:18:58+00:00 | [
"2011.08115"
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"en"
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# Dataset Card for "ZEST: ZEroShot learning from Task descriptions"
## 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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- Ann... | [
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7ebf0b4caa7b2ae39698a889de782c09e6f5ee56 |
# Dataset Card for SuperLim
## 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-structur... | AI-Sweden/SuperLim | [
"task_categories:question-answering",
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"task_categories:other",
"multilinguality:monolingual",
"language:sv",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["sv"], "multilinguality": ["monolingual"], "task_categories": ["question-answering", "text-classification", "sequence-modeling", "other"], "pretty_name": "SuperLim"} | 2022-10-21T14:25:24+00:00 | [] | [
"sv"
] | TAGS
#task_categories-question-answering #task_categories-text-classification #task_categories-other #multilinguality-monolingual #language-Swedish #region-us
|
# Dataset Card for SuperLim
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Structure/Creation/Use/Additional Information
- Dalaj
- SweAna
- SweD... | [
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d58b8fc80437cfcbc56d5c4e07f8d2e2dd992787 | Hello AI-it! | AI-it/korean-hate-speech | [
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90958ebd524a0e9154c760a463c87910c361a640 |
# Dataset Card for fanpage
## 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](#... | ARTeLab/fanpage | [
"task_categories:summarization",
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"license:unknown",
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] | 2022-03-02T23:29:22+00:00 | {"language": ["it"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100k"], "source_datasets": ["original"], "task_categories": ["summarization"]} | 2022-11-17T02:49:54+00:00 | [] | [
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|
# Dataset Card for fanpage
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
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- Dataset Creation
- Curation Rationale
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- Annotations
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9f53a759360f76d70a736c0c887a6711259467c5 |
# Dataset Card for ilpost
## 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](#d... | ARTeLab/ilpost | [
"task_categories:summarization",
"multilinguality:monolingual",
"size_categories:10K<n<100k",
"language:it",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["it"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100k"], "task_categories": ["summarization"]} | 2022-11-17T02:50:32+00:00 | [] | [
"it"
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|
# Dataset Card for ilpost
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
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- Dataset Creation
- Curation Rationale
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7c4b344da4e6d25afa4b65957e65e8b75fdc8259 |
# Dataset Card for mlsum-it
## 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](... | ARTeLab/mlsum-it | [
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|
# Dataset Card for mlsum-it
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f37c573d8d99bd0eff5c547282b990db5bc7a20e | this is a datasets about amazon reviews | ASCCCCCCCC/amazon_zh | [
"license:apache-2.0",
"region:us"
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7af49f85461104c4e7172a55659d09ca423cd160 | # Hadith-Data-Sets
There are two files of Hadith, the first one for all `hadith With Tashkil and Without Tashkel` from the Nine Books that are 62,169 Hadith.
The second one it `Hadith pre-processing` data, which is applyed normalization and removeing stop words and lemmatization on it
<!-- ## `All Hadith Books`: All Ha... | Abdo1Kamr/Arabic_Hadith | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-08-21T11:40:44+00:00 | [] | [] | TAGS
#region-us
| Hadith-Data-Sets
================
There are two files of Hadith, the first one for all 'hadith With Tashkil and Without Tashkel' from the Nine Books that are 62,169 Hadith.
The second one it 'Hadith pre-processing' data, which is applyed normalization and removeing stop words and lemmatization on it
Number of hadit... | [] | [
"TAGS\n#region-us \n"
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6
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7b544c4920a8be268b48b403c188acf0a462051b |
# ****Dataset Card for English quotes****
# **I-Dataset Summary**
english_quotes is a dataset of all the quotes retrieved from [goodreads quotes](https://www.goodreads.com/quotes). This dataset can be used for multi-label text classification and text generation. The content of each quote is in English and concerns th... | Abirate/english_quotes | [
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"region:u... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated", "crowdsourced"], "language": ["en"], "multilinguality": ["monolingual"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-label-classification"]} | 2022-10-25T07:39:16+00:00 | [] | [
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|
# Dataset Card for English quotes
# I-Dataset Summary
english_quotes is a dataset of all the quotes retrieved from goodreads quotes. This dataset can be used for multi-label text classification and text generation. The content of each quote is in English and concerns the domain of datasets for NLP and beyond.
# II-S... | [
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534725e03fec6f560dbe8166e8ae3825314a6290 |
# ****Dataset Card for French book reviews****
# **I-Dataset Summary**
The majority of review datasets are in English. There are datasets in other languages, but not many. Through this work, I would like to enrich the datasets in the French language(my mother tongue with Arabic).
The data was retrieved from two Fre... | Abirate/french_book_reviews | [
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"region:u... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated", "crowdsourced"], "language": ["fr"], "multilinguality": ["monolingual"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-label-classification"]} | 2022-08-25T18:26:48+00:00 | [] | [
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|
# Dataset Card for French book reviews
# I-Dataset Summary
The majority of review datasets are in English. There are datasets in other languages, but not many. Through this work, I would like to enrich the datasets in the French language(my mother tongue with Arabic).
The data was retrieved from two French websites... | [
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08ecce2f116f895feb3f2a5a5b7beeef761ea68f | # CoNaLa Dataset for Code Generation
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset Descritpion
This dataset has ... | AhmedSSoliman/CoNaLa | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"task_categories": ["Code Generation", "Translation", "Text2Text generation"]} | 2022-01-22T09:34:19+00:00 | [] | [] | TAGS
#region-us
| CoNaLa Dataset for Code Generation
==================================
Table of content
----------------
* Dataset Description
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
Dataset Descritpion
-------------------
This dataset has been processed for Code Generation. CMU CoNaLa, ... | [
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532717d4f35316fe8b8eef21d07f9cf12c4ab537 |
## Description
**BAAD16** is an **Authorship Attribution dataset for Bengali Literature**. It was collected and analyzed by the authors of [this paper](https://arxiv.org/abs/2001.05316). It was created by scraping text from an online Bangla e-library using custom web crawler and contains literary works of various fam... | Aisha/BAAD16 | [
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-----------
BAAD16 is an Authorship Attribution dataset for Bengali Literature. It was collected and analyzed by the authors of this paper. It was created by scraping text from an online Bangla e-library using custom web crawler and contains literary works of various famous Bangla writers. It contains nov... | [] | [
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962505e1575d4c2f04745c1c1e906e9eeebeec03 |
## Description
**BAAD6** is an **Authorship Attribution dataset for Bengali Literature**. It was collected and analyzed by Hemayet et al [[1]](https://ieeexplore.ieee.org/document/8631977). The data was obtained from different online posts and blogs. This dataset is balanced among the 6 Authors with 350 sample texts ... | Aisha/BAAD6 | [
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-----------
BAAD6 is an Authorship Attribution dataset for Bengali Literature. It was collected and analyzed by Hemayet et al [[1]](URL The data was obtained from different online posts and blogs. This dataset is balanced among the 6 Authors with 350 sample texts per author. This is a relatively small dat... | [] | [
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0254a1e4b0489647fa15b018697627891c938996 | ## Citing this work
@inproceedings{peiris2022synthesis,
title={{Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons \& Dragons}},
author={Akila Peiris and Nisansa de Silva},
booktitle={Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation},... | Akila/ForgottenRealmsWikiDataset | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2024-01-28T10:42:13+00:00 | [] | [] | TAGS
#region-us
| ## Citing this work
@inproceedings{peiris2022synthesis,
title={{Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons \& Dragons}},
author={Akila Peiris and Nisansa de Silva},
booktitle={Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation},... | [
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f64cec94f86acd7cc1c13e3822b48788a42ca943 | # Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset is comprised of `emoji` and `emotion` subsets of [tweet_eval](https://huggingface.co/datasets/tweet_eval). The motivation
is that the... | adorkin/extended_tweet_emojis | [
"task_categories:text-classification",
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"region:us"
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9fda7cad48bcda0c9f95c4e2e72c2966671f3f04 | dataset from kaggle https://www.kaggle.com/c/amazon-pet-product-reviews-classification | AlexZapolskii/zapolskii-amazon | [
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758333c328d446c1f24ce93320a60feecac3bc72 | # NST Danish 16kHz dataset from Sprakbanken
Data is from sprakbanken and can be accessed using following [link](https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-19/).
| Alvenir/nst-da-16khz | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-29T08:58:25+00:00 | [] | [] | TAGS
#region-us
| # NST Danish 16kHz dataset from Sprakbanken
Data is from sprakbanken and can be accessed using following link.
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a851e86f3029526f5e239beff1da3130fa9802f7 | This dataset is from the common voice corpus 7.0 using the Hausa dataset | Arnold/hausa_common_voice | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-10T03:28:22+00:00 | [] | [] | TAGS
#region-us
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704cf00070272d949d97d8688f81809e95ed23d9 | # AutoNLP Dataset for project: Scientific_Title_Generator
## 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 Descritpi... | AryanLala/autonlp-data-Scientific_Title_Generator | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"task_categories": ["conditional-text-generation"]} | 2021-11-20T18:00:56+00:00 | [] | [] | TAGS
#region-us
| AutoNLP Dataset for project: Scientific\_Title\_Generator
=========================================================
Table of content
----------------
* Dataset Description
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
Dataset Descritpion
-------------------
This dataset has be... | [
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04c0b447da176d358a7662f5036ad50c9b17770d |
fungi_diagnostic_chars_comparison_japanese
大菌輪「識別形質まとめ」データセット
最終更新日：2024/1/21（R3-11355まで）
====
### Languages
Japanese
This dataset is available in Japanese only.
# 概要
Atsushi Nakajima（中島淳志）が個人で運営しているWebサイト[大菌輪](http://mycoscouter.coolblog.jp/daikinrin/) では、数千件以上の菌類分類学論文を「論文3行まとめ」という形で要約および索引付け（イン... | Atsushi/fungi_diagnostic_chars_comparison_japanese | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:ja",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["other"], "language": ["ja"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"]} | 2024-01-21T04:55:20+00:00 | [] | [
"ja"
] | TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-other #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Japanese #license-cc-by-4.0 #region-us
|
fungi_diagnostic_chars_comparison_japanese
大菌輪「識別形質まとめ」データセット
最終更新日：2024/1/21（R3-11355まで）
====
### Languages
Japanese
This dataset is available in Japanese only.
# 概要
Atsushi Nakajima（中島淳志）が個人で運営しているWebサイト大菌輪 では、数千件以上の菌類分類学論文を「論文3行まとめ」という形で要約および索引付け（インデキシング）した情報を提供しています。
その一環として、ある菌と別の菌の「共通する」あ... | [
"### Languages\n\nJapanese \n \nThis dataset is available in Japanese only.",
"# 概要\n \nAtsushi Nakajima（中島淳志）が個人で運営しているWebサイト大菌輪 では、数千件以上の菌類分類学論文を「論文3行まとめ」という形で要約および索引付け（インデキシング）した情報を提供しています。 \nその一環として、ある菌と別の菌の「共通する」あるいは「異なる」識別形質 (diagnostic characters) に関する記述を人手で抽出しています。 \n本データセットは、抽出された識別形質の一覧に、「色/color」、... | [
"TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-other #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Japanese #license-cc-by-4.0 #region-us \n",
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e187a03ea89752bec2f459a4ebb77c8c92dc4146 | fungi_indexed_mycological_papers_japanese
大菌輪「論文3行まとめ」データセット
最終更新日：2024/1/21（R3-11355まで）
====
### Languages
Japanese
This dataset is available in Japanese only.
# 概要
Atsushi Nakajima（中島淳志）が個人で運営しているWebサイト[大菌輪](http://mycoscouter.coolblog.jp/daikinrin/) では、数千件以上の菌類分類学論文を「論文3行まとめ」という形で要約および索引付け（インデキシング）し... | Atsushi/fungi_indexed_mycological_papers_japanese | [
"annotations_creators:other",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:ja",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["other"], "language": ["ja"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"]} | 2024-01-21T04:55:02+00:00 | [] | [
"ja"
] | TAGS
#annotations_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Japanese #license-cc-by-4.0 #region-us
| fungi_indexed_mycological_papers_japanese
大菌輪「論文3行まとめ」データセット
最終更新日：2024/1/21（R3-11355まで）
====
### Languages
Japanese
This dataset is available in Japanese only.
# 概要
Atsushi Nakajima（中島淳志）が個人で運営しているWebサイト大菌輪 では、数千件以上の菌類分類学論文を「論文3行まとめ」という形で要約および索引付け（インデキシング）した情報を提供しています。
本データセットは、「論文3行まとめ」のコンテンツに含まれる各... | [
"### Languages\nJapanese \n \nThis dataset is available in Japanese only.",
"# 概要\n \nAtsushi Nakajima（中島淳志）が個人で運営しているWebサイト大菌輪 では、数千件以上の菌類分類学論文を「論文3行まとめ」という形で要約および索引付け（インデキシング）した情報を提供しています。 \n本データセットは、「論文3行まとめ」のコンテンツに含まれる各論文の3行抄録、タグ（索引）、掲載種一覧、比較種一覧をまとめたものです。\n「論文3行まとめ」は毎日更新していますが、本データセットの更新はおおむね1ヶ月に一度とする予定です... | [
"TAGS\n#annotations_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Japanese #license-cc-by-4.0 #region-us \n",
"### Languages\nJapanese \n \nThis dataset is available in Japanese only.",
"# 概要\n \nAtsushi Nakajima（中島淳志）が個人で運営しているWebサイト大菌輪 では、数千件以上の菌類... | [
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"passage: TAGS\n#annotations_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Japanese #license-cc-by-4.0 #region-us \n### Languages\nJapanese \n \nThis dataset is available in Japanese only.# 概要\n \nAtsushi Nakajima（中島淳志）が個人で運営しているWebサイト大菌輪 では、数千件以上の菌類分類学... |
c8e5049ab833801f41d6a835200b7e39c42916db | fungi_trait_circus_database
大菌輪「Trait Circus」データセット（統制形質）
最終更新日：2023/12/29
====
### Languages
Japanese and English
Please do not use this dataset for academic purposes for the time being. (casual use only)
当面の間仮公開とします。学術目的での使用はご遠慮ください。
# 概要
Atsushi Nakajima（中島淳志）が個人で運営しているWebサイト[大菌輪](http://mycoscou... | Atsushi/fungi_trait_circus_database | [
"annotations_creators:other",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"language:ja",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["other"], "language": ["en", "ja"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"]} | 2023-12-29T06:22:46+00:00 | [] | [
"en",
"ja"
] | TAGS
#annotations_creators-other #multilinguality-multilingual #size_categories-100K<n<1M #source_datasets-original #language-English #language-Japanese #license-cc-by-4.0 #region-us
| fungi_trait_circus_database
大菌輪「Trait Circus」データセット（統制形質）
最終更新日：2023/12/29
====
### Languages
Japanese and English
Please do not use this dataset for academic purposes for the time being. (casual use only)
当面の間仮公開とします。学術目的での使用はご遠慮ください。
# 概要
Atsushi Nakajima（中島淳志）が個人で運営しているWebサイト大菌輪 では、菌類の記載文を自然言語処理の... | [
"### Languages\nJapanese and English \n \nPlease do not use this dataset for academic purposes for the time being. (casual use only) \n当面の間仮公開とします。学術目的での使用はご遠慮ください。",
"# 概要\n \nAtsushi Nakajima（中島淳志）が個人で運営しているWebサイト大菌輪 では、菌類の記載文を自然言語処理の手法を利用して半自動的に処理し、菌類の形態、生態などに関する様々な「形質 (traits)」データを抽出して、集計や解析の便宜を図るために、あらかじめ... | [
"TAGS\n#annotations_creators-other #multilinguality-multilingual #size_categories-100K<n<1M #source_datasets-original #language-English #language-Japanese #license-cc-by-4.0 #region-us \n",
"### Languages\nJapanese and English \n \nPlease do not use this dataset for academic purposes for the time being. (casual ... | [
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5b70713c4cca19c341b62b01811c834ee60a33f2 | cc-by-nc-sa-4.0---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- en
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-retrieval
- text-generation
task_ids: []
pretty_name: rebel-dataset
tags:
- relation-extraction... | Babelscape/rebel-dataset | [
"task_categories:text-retrieval",
"task_categories:text-generation",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"license:cc-by-sa-4.0",
"relation-extraction",
... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": "cc-by-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["text-retrieval", "text-generation"], "task_ids": [], "prett... | 2023-06-15T11:12:59+00:00 | [
"2005.00614"
] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_categories-text-generation #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-English #license-cc-by-sa-4.0 #relation-extraction #conditional-text-generation #ar... | cc-by-nc-sa-4.0---
annotations\_creators:
* machine-generated
language\_creators:
* machine-generated
language:
* en
multilinguality:
* monolingual
size\_categories:
* unknown
source\_datasets:
* original
task\_categories:
* text-retrieval
* text-generation
task\_ids: []
pretty\_name: rebel-dataset
tags:
* relation-e... | [
"### Dataset Summary\n\n\nDataset created for REBEL dataset from interlinking Wikidata and Wikipedia for Relation Extraction, filtered using NLI.",
"### Supported Tasks and Leaderboards\n\n\n* 'text-retrieval-other-relation-extraction': The dataset can be used to train a model for Relation Extraction, which consi... | [
"TAGS\n#task_categories-text-retrieval #task_categories-text-generation #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-English #license-cc-by-sa-4.0 #relation-extraction #conditional-text-generati... | [
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74c9b9dca034bb1606a6769457983904bd976803 |
## Table of Contents
- [Description](#description)
- [Dataset Structure](#dataset-structure)
- [Additional Information](#additional-information)
## Dataset Card for WikiNEuRal dataset
## Dataset Description
- **Summary:** Training data for NER in 9 languages.
- **Repository:** [https://github.com/Babelscape/wikin... | Babelscape/wikineural | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:multilingual",
"source_datasets:original",
"language:de",
"language:en",
"language:es",
"language:fr",
"language:it",
"... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["de", "en", "es", "fr", "it", "nl", "pl", "pt", "ru"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": [... | 2022-11-13T07:52:46+00:00 | [
"1810.04805"
] | [
"de",
"en",
"es",
"fr",
"it",
"nl",
"pl",
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"ru"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-multilingual #source_datasets-original #language-German #language-English #language-Spanish #language-French #language-Italian #language-Dutch #lang... | Table of Contents
-----------------
* Description
* Dataset Structure
* Additional Information
Dataset Card for WikiNEuRal dataset
-----------------------------------
Dataset Description
-------------------
* Summary: Training data for NER in 9 languages.
* Repository: URL
* Paper: URL
* Point of Contact: tedes... | [] | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-multilingual #source_datasets-original #language-German #language-English #language-Spanish #language-French #language-Italian #language-Dutch... | [
147
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a388264362bb51412653f3da7b18f37fd24fab30 | # ParlaTextCorpus
Spoken text corpus for Catalan. Derived and cleaned from three sources. OpenSubtitles, Tv3Parla and Festcat. | Baybars/parla_text_corpus | [
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:various",
"multilinguality:monolingual",
"size_categories:100k<n<1M",
"source_datasets:found",
"language:ca",
"license:cc-by-4.0",
"robust-speech-event",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["various"], "language": ["ca"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100k<n<1M"], "source_datasets": ["found"], "task_categories": ["sequence-modeling"], "task_ids": ["language-modeling"], "pretty_name": "Par... | 2022-10-21T14:29:15+00:00 | [] | [
"ca"
] | TAGS
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| # ParlaTextCorpus
Spoken text corpus for Catalan. Derived and cleaned from three sources. OpenSubtitles, Tv3Parla and Festcat. | [
"# ParlaTextCorpus\nSpoken text corpus for Catalan. Derived and cleaned from three sources. OpenSubtitles, Tv3Parla and Festcat."
] | [
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"# ParlaTextCorpus\nSpoken text corpus for Catalan. Derived and... | [
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31cce8af65eb851c49dca96b280b957a6e745424 |
# Dataset Card for BEIR Benchmark
## 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-instan... | BeIR/beir-corpus | [
"task_categories:text-retrieval",
"task_ids:entity-linking-retrieval",
"task_ids:fact-checking-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-21T14:30:07+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
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
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 i... | [
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78edba255941a9f67828b606e79a08e497c9298f |
# Dataset Card for BEIR Benchmark
## 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-instan... | BeIR/beir | [
"task_categories:text-retrieval",
"task_ids:entity-linking-retrieval",
"task_ids:fact-checking-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2022-10-21T14:30:43+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| Dataset Card for BEIR Benchmark
===============================
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
+... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #task_ids-entity-linking-retrieval #task_ids-fact-checking-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
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f80e65ea3922bfab04afe8f4a07a8ab16bd81553 |
# Dataset Card for [Needs More Information]
## 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)
... | Lacito/pangloss | [
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|
# Dataset Card for
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
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66bfd05a6720c6eb0d274779cec9b0632622c682 |
# Dataset Card for EThOS PhD metadata
## Table of Contents
- [Dataset Card for blbooksgenre](#dataset-card-for-EThOS PhD metadata)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-... | TheBritishLibrary/EThOS-PhD-metadata | [
"task_categories:text-classification",
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"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-classification", "fill-mask"], "task_ids": ["multi-label-classification", "masked-language-modeling"], "pretty_name": "EThO... | 2022-07-23T20:14:57+00:00 | [] | [
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|
# Dataset Card for EThOS PhD metadata
## Table of Contents
- Dataset Card for blbooksgenre
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Supervised tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
... | [
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f002ce337df0b0f1fb96f87edd17b2ebe4a73963 | welcoe to cager data set | CAGER/rick | [
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#region-us
| welcoe to cager data set | [] | [
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36dcd9cf86cfc635866ec63d58ef5ee25885ac4d |
# Arabic Wiki Dataset
## Dataset Summary
This dataset is extracted using [`wikiextractor`](https://github.com/attardi/wikiextractor) tool, from [Wikipedia Arabic pages](https://dumps.wikimedia.org/arwiki/).
## Supported Tasks and Leaderboards
Intended to train **Arabic** language models on MSA (Modern Standard Arabi... | CALM/arwiki | [
"multilinguality:monolingual",
"language:ar",
"license:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["ar"], "license": ["unknown"], "multilinguality": ["monolingual"], "pretty_name": "Wikipedia Arabic dumps dataset."} | 2022-08-01T15:37:23+00:00 | [] | [
"ar"
] | TAGS
#multilinguality-monolingual #language-Arabic #license-unknown #region-us
| Arabic Wiki Dataset
===================
Dataset Summary
---------------
This dataset is extracted using 'wikiextractor' tool, from Wikipedia Arabic pages.
Supported Tasks and Leaderboards
--------------------------------
Intended to train Arabic language models on MSA (Modern Standard Arabic).
Dataset Structu... | [
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b966160952fc5fe9cb036f098dd44f135d5c6f20 |
# Dataset Card for ASCEND
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Usage](#usage)
- [Dataset Structure](#dataset-structure)
- [Data Splits](#data-instances)
- [Ad... | CAiRE/ASCEND | [
"task_categories:automatic-speech-recognition",
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"language:zh",
"license:cc-by-sa-4.0",
"speech-recognition",
"code-s... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["en", "zh"], "license": ["cc-by-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "pret... | 2022-10-24T11:43:58+00:00 | [
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# Dataset Card for ASCEND
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Usage
- Dataset Structure
- Data Splits
- Additional Information
- Licensing Information
- Citation Information
## Dataset Description
- Homepage:
- Repository:
- Paper: URL
- Leaderb... | [
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563ad7cd6591c8a51a807ce073645e349ce92fa8 | <h1>KerasBERT</h1>
<ul>
<li>All Data</li>
<li>Keras API Docs</li>
<li>Keras Developer Guides</li>
<li>Keras Code Examples</li>
</ul>
Please cite KerasBERT: Modeling the Keras Language, Connor Shorten and Taghi M. Khoshgoftaar. https://ieeexplore.ieee.org/abstract/document/9679980. | CShorten/KerasBERT | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-06-28T10:51:07+00:00 | [] | [] | TAGS
#region-us
| <h1>KerasBERT</h1>
<ul>
<li>All Data</li>
<li>Keras API Docs</li>
<li>Keras Developer Guides</li>
<li>Keras Code Examples</li>
</ul>
Please cite KerasBERT: Modeling the Keras Language, Connor Shorten and Taghi M. Khoshgoftaar. URL | [] | [
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d0be437cfd0d5d653ffd582514f55cb1f039ba16 | Repo to share original and anonymized speech of vpc2020
| Champion/vpc2020_clear_anon_speech | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-10-12T13:19:45+00:00 | [] | [] | TAGS
#region-us
| Repo to share original and anonymized speech of vpc2020
| [] | [
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f496e251dd03afb88f8a19b8bdb47b6ae41a2408 | A translation dataset between english and traditional chinese
train : 101497 rows
val : 1000 rows
test : 1000 rows
| Chun/dataset | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-08-24T07:16:33+00:00 | [] | [] | TAGS
#region-us
| A translation dataset between english and traditional chinese
train : 101497 rows
val : 1000 rows
test : 1000 rows
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9cca1f325b9f97066a2306b17e24f7d24ac9d42a |
# Dataset Card for Code Clippy Data
## 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-... | CodedotAI/code_clippy | [
"task_categories:text-generation",
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["code"], "license": ["gpl-3.0"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name":... | 2022-11-17T19:54:28+00:00 | [
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| Dataset Card for Code Clippy Data
=================================
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 Rat... | [
"### Dataset Summary\n\n\nThis dataset was generated by selecting GitHub repositories from a large collection of repositories. These repositories were collected from URL and Github portion of The Pile (performed on July 7th, 2021). The goal of this dataset is to provide a training set for pretraining large language... | [
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cf9f33dec640f45228f8f3f5e6a7899a37f5f83e | # Code Clippy Github Dataset
## Dataset Description
The Code Clippy dataset consists of various public codebases from GitHub in 22 programming languages with 23 extensions totaling about 16 TB of data when uncompressed. The dataset was created from the public GitHub dataset on Google BigQuery.
### How to use it
This da... | CodedotAI/code_clippy_github | [
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"language_creators:crowdsourced",
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| Code Clippy Github Dataset
==========================
Dataset Description
-------------------
The Code Clippy dataset consists of various public codebases from GitHub in 22 programming languages with 23 extensions totaling about 16 TB of data when uncompressed. The dataset was created from the public GitHub dataset... | [
"### How to use it\n\n\nThis dataset is pretty large please use the streaming parameter from the 'datasets' library as seen below:\n\n\nData Structure\n--------------",
"### Data Instances",
"### Data Fields\n\n\nField: code\\_text, Type: string, Description: string of the source code contained in the code file... | [
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41d4a7c0dceb496a6a7441a80bb28e430cae670e | ## Wow fishing bobber object detection dataset
Hello, here you will find a link to a csv i scraped using the scraper found at the same link. it contains paragraphs of text found on a flat earth conspiracy website
#TODO: turn it into an actualy huggingface dataset) | Cropinky/flatearther | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-06-30T21:37:54+00:00 | [] | [] | TAGS
#region-us
| ## Wow fishing bobber object detection dataset
Hello, here you will find a link to a csv i scraped using the scraper found at the same link. it contains paragraphs of text found on a flat earth conspiracy website
#TODO: turn it into an actualy huggingface dataset) | [
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63ce731b2049c2d02e1c47a3ef15400c7e08d2e5 | ## Rap lyrics dataset
this is the repo containing the dataset we made for the hugging face community week, in order to download more songs you need to request and get(it's very simple and fast) your genius API key which ou put in the genius.py file<br/>
#TODO: turn it into an actual huggingface dataset | Cropinky/rap_lyrics_english | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-07-21T02:07:36+00:00 | [] | [] | TAGS
#region-us
| ## Rap lyrics dataset
this is the repo containing the dataset we made for the hugging face community week, in order to download more songs you need to request and get(it's very simple and fast) your genius API key which ou put in the URL file<br/>
#TODO: turn it into an actual huggingface dataset | [
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] |
49a1de0829240746a613c3e9a6d7a98e6527827f | ## Wow fishing bobber object detection dataset
Hello, in this zip you will find 160 annotated images each containing 1 fishing bobber from World of warcraft.
I think this is an easy object detection datset, my yolov3 network was trained on it for 2000 iterations, it achieved
a loss of 0.05. It was working flawlessly as... | Cropinky/wow_fishing_bobber | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-06-30T21:14:04+00:00 | [] | [] | TAGS
#region-us
| ## Wow fishing bobber object detection dataset
Hello, in this zip you will find 160 annotated images each containing 1 fishing bobber from World of warcraft.
I think this is an easy object detection datset, my yolov3 network was trained on it for 2000 iterations, it achieved
a loss of 0.05. It was working flawlessly as... | [
"## Wow fishing bobber object detection dataset\nHello, in this zip you will find 160 annotated images each containing 1 fishing bobber from World of warcraft.\nI think this is an easy object detection datset, my yolov3 network was trained on it for 2000 iterations, it achieved\na loss of 0.05. It was working flawl... | [
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81c2d1f3fc945fbc417173ce18aadf781efecd53 | 词性标注训练集 | Cyberfish/pos_tagger | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-08-20T01:32:01+00:00 | [] | [] | TAGS
#region-us
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577a560fa4ee1bf8d32480eefa9e14f416022016 | 文本纠错的相关数据 | Cyberfish/text_error_correction | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-08-19T12:07:16+00:00 | [] | [] | TAGS
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7582bab94af11d09843132c0aa36571f148fa304 |
# Dataset Card for Amazon Review Polarity
## Table of Contents
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- [Data Instances](#dat... | CyranoB/polarity | [
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# Dataset Card for Amazon Review Polarity
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20b0e6081892e78179356fada741b7afa381443d |
# Dataset Card for AngryTweets
## Table of Contents
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- [Data Fields](#data-fields... | DDSC/angry-tweets | [
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# Dataset Card for AngryTweets
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59d12749a3c91a186063c7d729ec392fda94681c |
# Dataset Card for DKHate
## Table of Contents
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- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
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-... | DDSC/dkhate | [
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|
# Dataset Card for DKHate
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705be67c4566ea3ae65476b5a9fa44361d3a2287 |
# Dataset Card for DKHate
## Table of Contents
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-... | DDSC/europarl | [
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|
# Dataset Card for DKHate
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de7ba3406ee55ea2cc52a0a41408fa6aede6d3c6 |
# Dataset Card for LCC
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
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- [D... | DDSC/lcc | [
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|
# Dataset Card for LCC
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bc1302039dd6176aa5ce42342a25549c36587dc8 |
# Dataset Card for SQuAD-da
## Table of Contents
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-... | DDSC/reddit-da | [
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|
# Dataset Card for SQuAD-da
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### Dataset Summary
This dataset consists of 1... | [
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589ba98416d19168b59c26f992b4337815e55964 |
# Dataset Card for DKHate
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
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-... | DDSC/twitter-sent | [
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|
# Dataset Card for DKHate
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4ed6a771c6c5b38cb2c4e84b11fc04646d0818fb |
# Dataset Card for scientific-challenges-and-directions
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
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- ... | DanL/scientific-challenges-and-directions-dataset | [
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| Dataset Card for scientific-challenges-and-directions
=====================================================
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107a08bf312451a432f6cd75ae38688b67f85646 |
# Dataset Card for [Dataset Name]
## Table of Contents
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- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
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- [Languages](#languages)
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4d967ec76b798f045762874994de4113e82a763a |
# Dataset Card for accented-english
## 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-... | Nexdata/accented_english | [
"task_categories:automatic-speech-recognition",
"language:en",
"region:us"
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"en"
] | TAGS
#task_categories-automatic-speech-recognition #language-English #region-us
|
# Dataset Card for accented-english
## 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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c1b9ce6857454d2bacc1257072b2a36e75a811e5 |
# Dataset Card for accented_mandarin
## 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... | Nexdata/accented_mandarin | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-11-22T09:49:28+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for accented_mandarin
## 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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bcecbc91a80fae050e938d0ddec61136bb9deb18 |
# Dataset Card for chinese_dialect
## 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-s... | Nexdata/chinese_dialect | [
"task_categories:automatic-speech-recognition",
"language:zh",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["zh"], "task_categories": ["automatic-speech-recognition"], "YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-11-22T09:49:16+00:00 | [] | [
"zh"
] | TAGS
#task_categories-automatic-speech-recognition #language-Chinese #region-us
|
# Dataset Card for chinese_dialect
## 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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1fb2242a826377d77064ecabf22378b44ef71d35 |
# Dataset Card for mandarin_chinese
## 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-... | Nexdata/mandarin_chinese | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-11-22T09:52:56+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for mandarin_chinese
## 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
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223e6b2a3c72c5bd59b4aa23c3be6b9c47ee1df5 |
# Dataset Card for mixed_speech_chinese_english
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structur... | Nexdata/mixed_speech_chinese_english | [
"task_categories:automatic-speech-recognition",
"language:zh",
"language:en",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["zh", "en"], "task_categories": ["automatic-speech-recognition"], "YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-11-22T09:52:13+00:00 | [] | [
"zh",
"en"
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|
# Dataset Card for mixed_speech_chinese_english
## 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
- Ann... | [
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a9b131f8303be3b20576c4a611c8102ba3f14ff5 |
# Dataset Card for multi_language
## 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... | Nexdata/multi_language | [
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"language:ko",
"language:ja",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en", "de", "fr", "it", "es", "ko", "ja"], "task_categories": ["automatic-speech-recognition"], "YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-11-22T09:43:08+00:00 | [] | [
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|
# Dataset Card for multi_language
## 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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f80fbb935cbe98eaf7a611d069752b7bcc098926 |
# Dataset Card for multi_language_conversation
## 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... | Nexdata/multi_language_conversation | [
"task_categories:conversational",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"task_categories": ["conversational"], "YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-11-22T09:49:46+00:00 | [] | [] | TAGS
#task_categories-conversational #region-us
|
# Dataset Card for multi_language_conversation
## 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
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89349b4f6b2b3dc5e3b4da9a505c969421da3e6c | # Pokemon Dataset
This dataset contains a text representation of more that 10k pokemon sprites from different pokemon videogames (red, yellow, gold, ruby,...). The original images are from 40 to 96 pixel of size and every pixel is represented with an ASCII character depending to its color.
# Supported Tasks
* Text ... | DelgadoPanadero/Pokemon | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-03T10:10:40+00:00 | [] | [] | TAGS
#region-us
| # Pokemon Dataset
This dataset contains a text representation of more that 10k pokemon sprites from different pokemon videogames (red, yellow, gold, ruby,...). The original images are from 40 to 96 pixel of size and every pixel is represented with an ASCII character depending to its color.
# Supported Tasks
* Text ... | [
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8d33120c04ada67489ab862d4a8e1438a1114316 | # Asian Language Treebank (ALT)
This is a **subset** of ALT dataset published by Riza et al.
It included following low-resource languages:
- fil
- vi
- id
- ms
- khm
- th
- hi
- my
It also includes ja and zh languages. | DeskDown/ALTDataset | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-13T17:03:25+00:00 | [] | [] | TAGS
#region-us
| # Asian Language Treebank (ALT)
This is a subset of ALT dataset published by Riza et al.
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- fil
- vi
- id
- ms
- khm
- th
- hi
- my
It also includes ja and zh languages. | [
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27aeb98712ca9cded7d7fadd0027afdbe4f22746 | __Introduction__
The ALT project aims to advance the state-of-the-art Asian natural language processing (NLP) techniques
through the open collaboration for developing and using ALT. It was first conducted by NICT and UCSY
as described in Ye Kyaw Thu, Win Pa Pa, Masao Utiyama, Andrew Finch and Eiichiro Sumita (2016... | DeskDown/ALTDataset_en-to-fil-vi-id-ms-ja-khm | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-03T22:31:36+00:00 | [] | [] | TAGS
#region-us
| __Introduction__
The ALT project aims to advance the state-of-the-art Asian natural language processing (NLP) techniques
through the open collaboration for developing and using ALT. It was first conducted by NICT and UCSY
as described in Ye Kyaw Thu, Win Pa Pa, Masao Utiyama, Andrew Finch and Eiichiro Sumita (2016... | [] | [
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578af74e6d9abf50e091ad2292a79dda85998e0f | Human Activity Recognition (HAR) using smartphones dataset. Classifying the type of movement amongst five categories:
- WALKING,
- WALKING_UPSTAIRS,
- WALKING_DOWNSTAIRS,
- SITTING,
- STANDING
The experiments have been carried out with a group of 16 volunteers within an age bracket of 19-26 years. Each person performe... | DiFronzo/Human_Activity_Recognition | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-08T11:18:07+00:00 | [] | [] | TAGS
#region-us
| Human Activity Recognition (HAR) using smartphones dataset. Classifying the type of movement amongst five categories:
- WALKING,
- WALKING_UPSTAIRS,
- WALKING_DOWNSTAIRS,
- SITTING,
- STANDING
The experiments have been carried out with a group of 16 volunteers within an age bracket of 19-26 years. Each person performe... | [] | [
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54e3bc2eb96a5f8c346ca715909f717f02eba22b | Datasets for Relation Extraction Task
Source from Wikipedia (CC-BY-2.0)
Contributors : Doohae Jung, Hyesu Kim, Bosung Kim, Isaac Park, Miwon Jeon, Dagon Lee, Jihoo Kim | Doohae/modern_music_re | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-06T05:58:20+00:00 | [] | [] | TAGS
#region-us
| Datasets for Relation Extraction Task
Source from Wikipedia (CC-BY-2.0)
Contributors : Doohae Jung, Hyesu Kim, Bosung Kim, Isaac Park, Miwon Jeon, Dagon Lee, Jihoo Kim | [] | [
"TAGS\n#region-us \n"
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6
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2933270d52e548c9efd75451f085034d145c748c | This datasets consists in the last version of the common-voice-dataset for romanian language.
Also contains data from RSS (Romanian Speech Synthesis Dataset) from this site http://romaniantts.com/ | Dumiiii/common-voice-romaniarss | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-11T11:29:09+00:00 | [] | [] | TAGS
#region-us
| This datasets consists in the last version of the common-voice-dataset for romanian language.
Also contains data from RSS (Romanian Speech Synthesis Dataset) from this site URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
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