Datasets:
ftopal
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huggingface-datasets-raw

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29b3c541ba1e96bbaf2a38f0cec26b921f2d711d
# AutoTrain Dataset for project: code_summarization ## Dataset Descritpion This dataset has been automatically processed by AutoTrain for project code_summarization. ### Languages The BCP-47 code for the dataset's language is en. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "text": "def read(self, table, columns, keyset, index=\"\", limit=0, partition=None):\n \"\"\"Perform a ``St[...]", "target": "Perform a ``StreamingRead`` API request for rows in a table.\n\n :type table: str\n :para[...]" }, { "text": "def maf_somatic_variant_stats(variant, variant_metadata):\n \"\"\"\n Parse out the variant calling [...]", "target": "Parse out the variant calling statistics for a given variant from a MAF file\n\n Assumes the MAF fo[...]" } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "text": "Value(dtype='string', id=None)", "target": "Value(dtype='string', id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 800 | | valid | 200 |
hxue3/autotrain-data-code_summarization
[ "language:en", "region:us" ]
2022-05-13T19:34:17+00:00
{"language": ["en"], "task_categories": ["conditional-text-generation"]}
2022-10-23T04:49:19+00:00
066c5fc6068779c721f701cde47ff7b277a58ad3
Barik/testt
[ "region:us" ]
2022-05-13T21:02:39+00:00
{}
2022-05-13T21:02:55+00:00
a56814dfb4a247a505eb407109952cc5cb3cda33
do your worst
itsroadtrip/test-dataset
[ "license:zlib", "region:us" ]
2022-05-13T22:51:17+00:00
{"license": "zlib"}
2022-05-13T22:51:42+00:00
4ff105b77a536e4b04cab18edd1d20aa7270460c
# Dataset Card for CogText PubMed Abstracts ## 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](#data-instances) - [Data Splits](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description The **CogText** dataset is a curated collection of abstracts about cognitive tasks and constructs from PubMed. This dataset contains the original abstracts and their corresponding embeddings. Please visit [CogText on GitHub](https://github.com/morteza/cogtext) for the details and codes. - **Homepage:** https://github.com/morteza/cogtext - **Repository:** https://github.com/morteza/cogtext - **Point of Contact:** [Morteza Ansarinia](mailto:ansarinia@me.com) - **Paper:** https://arxiv.org/abs/2203.11016 ### Dataset Summary The 2021 dataset, collected in December 2021, contains 385,705 distinct scientific articles, featuring their title, abstract, relevant metadata, and embeddings. The articles were specifically selected for their relevance to cognitive control constructs and associated tasks. ### Supported Tasks and Leaderboards Topic Modeling, Text Embedding ### Languages English ## Dataset Structure ### Data Instances 522,972 scientific articles, of which 385,705 are unique. ### Data Fields The CSV files contain the following fields: | Field | Description | | ----- | ----------- | | `index` | (int) Index of the article in the current dataset | | `pmid` | (int) PubMed ID | | `doi` | (str) Digital Object Identifier | | `year` | (int) Year of publication (yyyy format)| | `journal_title` | (str) Title of the journal | | `journal_iso_abbreviation` | (str) ISO abbreviation of the journal | | `title` | (str) Title of the article | | `abstract` | (str) Abstract of the article | | `category` | (enum) Category of the article, either "CognitiveTask" or "CognitiveConstruct" | | `label` | (enum) Label of the article, which refers to the class labels in the `ontologies/efo.owl` ontology | | `original_index` | (int) Index of the article in the full dataset (see `pubmed/abstracts.csv.gz`) | ### Data Splits | Dataset | Description | | ------- | ----------- | | `pubmed/abstracts.csv.gz` | Full dataset | | `pubmed/abstracts20pct.csv.gz` | 20% of the dataset (stratified random sample by `label`) | | `gpt3/abstracts_gp3ada.nc` | GPT-3 embeddings of the entire dataset in XArray/CDF4 format, indexed by `pmid` | ## Dataset Creation ### Curation Rationale [Needs More Information] ### Source Data #### Initial Data Collection and Normalization [Needs More Information] ### Annotations #### Annotation process [Needs More Information] ### Personal and Sensitive Information [Needs More Information] ## Considerations for Using the Data ### Social Impact of Dataset [Needs More Information] ### Discussion of Biases [Needs More Information] ### Other Known Limitations [Needs More Information] ## Additional Information ### Dataset Curators [Needs More Information] ### Licensing Information [Needs More Information] ### Acknowledgments This research was supported by the Luxembourg National Research Fund (ATTRACT/2016/ID/11242114/DIGILEARN and INTER Mobility/2017-2/ID/11765868/ULALA). ### Citation Information To cite the paper use the following entry: ``` @misc{cogtext2022, author = {Morteza Ansarinia and Paul Schrater and Pedro Cardoso-Leite}, title = {Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive Control}, year = {2022}, url = {https://arxiv.org/abs/2203.11016} } ```
morteza/cogtext
[ "task_categories:text-classification", "task_ids:topic-classification", "task_ids:semantic-similarity-classification", "language_creators:found", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:original", "language:en", "license:cc-by-4.0", "Cognitive Control", "PubMed", "arxiv:2203.11016", "doi:10.57967/hf/0548", "region:us" ]
2022-05-14T05:38:55+00:00
{"language_creators": ["found", "expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["topic-classification", "semantic-similarity-classification"], "paperswithcode_id": "linking-theories-and-methods-in-cognitive", "pretty_name": "CogText PubMed Abstracts", "inference": false, "model-index": [{"name": "cogtext-pubmed", "results": []}], "configs": [{"config_name": "abstracts (2023)", "data_files": "pubmed/abstracts2023.csv.gz"}, {"config_name": "abstracts (2021)", "data_files": "pubmed/abstracts2021.csv.gz"}], "tags": ["Cognitive Control", "PubMed"]}
2023-11-25T10:48:10+00:00
5c427d91b3d6a7624941149ece874850b222c838
This dataset has been scraped from https://freesound.org Containing 554849 audio clips. License: cc-by-sa-3.0, https://creativecommons.org/licenses/by-sa/3.0/
Chr0my/freesound.org
[ "size_categories:100K<n<1M", "language:en", "music", "region:us" ]
2022-05-15T16:31:35+00:00
{"language": ["en"], "size_categories": ["100K<n<1M"], "tags": ["music"]}
2023-04-09T13:31:11+00:00
15a498e7de5206bda47afd5da44f3a8de6122878
test
nouamanetazi/test111
[ "region:us" ]
2022-05-15T17:50:55+00:00
{}
2022-05-15T18:28:57+00:00
072a486a144adf7f4479a4a0dddb2152e161e1ea
mteb/amazon_massive_intent
[ "language:af", "language:am", "language:ar", "language:az", "language:bn", "language:cy", "language:da", "language:de", "language:el", "language:en", "language:es", "language:fa", "language:fr", "language:he", "language:hi", "language:hu", "language:hy", "language:id", "language:is", "language:it", "language:ja", "language:jv", "language:ka", "language:km", "language:kn", "language:ko", "language:lv", "language:ml", "language:mn", "language:ms", "language:my", "language:nb", "language:nl", "language:pl", "language:pt", "language:ro", "language:ru", "language:sl", "language:sq", "language:sv", "language:sw", "language:ta", "language:te", "language:th", "language:tl", "language:tr", "language:ur", "language:vi", "language:zh", "region:us" ]
2022-05-15T19:59:15+00:00
{"language": ["af", "am", "ar", "az", "bn", "cy", "da", "de", "el", "en", "es", "fa", "fr", "he", "hi", "hu", "hy", "id", "is", "it", "ja", "jv", "ka", "km", "kn", "ko", "lv", "ml", "mn", "ms", "my", "nb", "nl", "pl", "pt", "ro", "ru", "sl", "sq", "sv", "sw", "ta", "te", "th", "tl", "tr", "ur", "vi", "zh"]}
2022-09-27T18:10:30+00:00
b814940b602d179b21beac3b8c14c97bcde0e963
Moo/korean-parallel-corpora
[ "task_categories:translation", "annotations_creators:other", "language_creators:other", "multilinguality:multilingual", "multilinguality:translation", "size_categories:10K<n<100K", "source_datasets:original", "language:ko", "language:en", "license:cc-by-sa-3.0", "region:us" ]
2022-05-16T06:35:42+00:00
{"annotations_creators": ["other"], "language_creators": ["other"], "language": ["ko", "en"], "license": ["cc-by-sa-3.0"], "multilinguality": ["multilingual", "translation"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "korean-parallel-corpora "}
2022-07-01T14:32:54+00:00
27b43c4cfd24a1038c1968739f992eeef372bce0
jk-gjom/covid19weibo
[ "license:afl-3.0", "region:us" ]
2022-05-16T07:01:52+00:00
{"license": "afl-3.0"}
2022-05-16T07:05:16+00:00
83f042f5e142c32f1cb0ff8dd71b7e8546a8c9e8
# Dataset Card for id_recipe ## 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) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [Indonesian-recipe](https://github.com/sultanbst123/Hugging-Face-indo) - **Repository:** [Indonesian-recipe](https://github.com/sultanbst123/Hugging-Face-indo) - **Paper:** [N/A] - **Leaderboard:** [N/A] - **Point of Contact:** [Sultan](sultansyach7@gmail.com) ### Dataset Summary Indonesian foods are well-known for their rich taste. There are many spices used even for daily foods. This dataset may give insight on how to prepare Indonesian food. id_recipe is an Indonesian Food Recipe dataset. The dataset contains >10000 Indonesian Recipe. ### Supported Tasks and Leaderboards [More Information Needed] ### Languages Indonesian ### Data Splits Here are the number of examples | name |n.examples| |-----------------|--------: | | train | 14858 | | val | 783 | ### Source Data [here](https://www.kaggle.com/datasets/canggih/indonesian-food-recipes) ### Annotations #### Annotation process [N/A] #### Who are the annotators? [N/A] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information MIT License ### Citation Information [N/A] ### Contributions Thanks to [@sultan](https://github.com/sultanbst123) for adding this dataset
Sultannn/id_recipe
[ "task_categories:text2text-generation", "task_categories:text-generation", "task_ids:language-modeling", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:id", "license:mit", "region:us" ]
2022-05-16T07:45:23+00:00
{"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["id"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text2text-generation", "text-generation"], "task_ids": ["language-modeling"], "pretty_name": "Indonesian Recipe"}
2022-09-18T08:24:13+00:00
490d7f84b73592e1bedc1129057b45ec9538b3e7
ntt123/vi-text
[ "license:cc-by-nc-4.0", "region:us" ]
2022-05-16T10:17:07+00:00
{"license": "cc-by-nc-4.0"}
2022-05-17T01:39:11+00:00
13594107c7afa216cb0c126f38b8ff6548112dcf
# Dataset Card for Slither Audited Smart Contracts ## 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](#data-instances) - [Data Splits](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - **Homepage:** https://github.com/mwritescode/slither-audited-smart-contracts - **Repository:** https://github.com/mwritescode/slither-audited-smart-contracts - **Point of Contact:** [Martina Rossini](mailto:martina.rossini704@gmail.com) ### Dataset Summary This dataset contains source code and deployed bytecode for Solidity Smart Contracts that have been verified on Etherscan.io, along with a classification of their vulnerabilities according to the Slither static analysis framework. ### Supported Tasks and Leaderboards - `text-classification`: The dataset can be used to train a model for both binary and multilabel text classification on smart contracts bytecode and source code. The model performance is evaluated based on the accuracy of the predicted labels as compared to the given labels in the dataset. - `text-generation`: The dataset can also be used to train a language model for the Solidity programming language - `image-classification`: By pre-processing the bytecode data to obtain RGB images, the dataset can also be used to train convolutional neural networks for code vulnerability detection and classification. ### Languages The language annotations are in English, while all the source codes are in Solidity. ## Dataset Structure ### Data Instances Each data instance contains the following features: `address`, `source_code` and `bytecode`. The label comes in two configuration, either a plain-text cleaned up version of the output given by the Slither tool or a multi-label version, which consists in a simple list of integers, each one representing a particular vulnerability class. Label 4 indicates that the contract is safe. An example from a plain-text configuration looks as follows: ``` { 'address': '0x006699d34AA3013605d468d2755A2Fe59A16B12B' 'source_code': 'pragma solidity 0.5.4; interface IERC20 { function balanceOf(address account) external ...' 'bytecode': '0x608060405234801561001057600080fd5b5060043610610202576000357c0100000000000000000000000000000000000000000000000000000000900...' 'slither': '{"success": true, "error": null, "results": {"detectors": [{"check": "divide-before-multiply", "impact": "Medium", "confidence": "Medium"}]}}' } ``` An example from a multi-label configuration looks as follows: ``` { 'address': '0x006699d34AA3013605d468d2755A2Fe59A16B12B' 'source_code': 'pragma solidity 0.5.4; interface IERC20 { function balanceOf(address account) external ...' 'bytecode': '0x608060405234801561001057600080fd5b5060043610610202576000357c0100000000000000000000000000000000000000000000000000000000900...' 'slither': [ 4 ] } ``` ### Data Fields - `address`: a string representing the address of the smart contract deployed on the Ethereum main net - `source_code`: a flattened version of the smart contract codebase in Solidity - `bytecode`: a string representing the smart contract's bytecode, obtained when calling `web3.eth.getCode()`. Note that in some cases where this was not available, the string is simply '0x'. - `slither`: either a cleaned up version of Slither's JSON output or a list of class labels ### Data Splits The dataset comes in 6 configurations and train, test and validation splits are only provided for those configurations that do not include `all-` in their names. Test and Validation splits are both about 15% of the total. ## Dataset Creation ### Curation Rationale slither-audited-smart-contracts was built to provide a freely available large scale dataset for vulnerability detection and classification on verified Solidity smart contracts. Indeed, the biggest open source dataset for this task at the moment of writing is [SmartBugs Wild](https://github.com/smartbugs/smartbugs-wild), containing 47,398 smart contracts that were labeled with 9 tools withing the SmartBugs framework. ### Source Data #### Initial Data Collection and Normalization The dataset was constructed started from the list of verified smart contracts provided at [Smart Contract Sanctuary](https://github.com/tintinweb/smart-contract-sanctuary-ethereum). Then, smart contract source code was either downloaded from the aforementioned repo or downloaded via [Etherscan](https://etherscan.io/apis) and flattened using the Slither contract flattener. The bytecode was downloaded using the Web3.py library, in particular the `web3.eth.getCode()` function and using [INFURA](https://infura.io/) as our endpoint. Finally, every smart contract was analyzed using the [Slither](https://github.com/crytic/slither) static analysis framework. The tool found 38 different vulnerability classes in the collected contracts and they were then mapped to 9 labels according to what is shown in the file `label_mappings.json`. These mappings were derived by following the guidelines at [Decentralized Application Security Project (DASP)](https://www.dasp.co/) and at [Smart Contract Weakness Classification Registry](https://swcregistry.io/). They were also inspired by the mappings used for Slither's detection by the team that labeled the SmartBugs Wild dataset, which can be found [here](https://github.com/smartbugs/smartbugs-results/blob/master/metadata/vulnerabilities_mapping.cs). ## Additional Information ### Dataset Curators The dataset was initially created by Martina Rossini during work done for the project of the course Blockchain and Cryptocurrencies of the University of Bologna (Italy). ### Licensing Information The license in the file LICENSE applies to all the files in this repository, except for the Solidity source code of the contracts. These are still publicly available, were obtained using the Etherscan APIs, and retain their original licenses. ### Citation Information If you are using this dataset in your research and paper, here's how you can cite it: ``` @misc{rossini2022slitherauditedcontracts, title = {Slither Audited Smart Contracts Dataset}, author={Martina Rossini}, year={2022} } ``` ### Contributions Thanks to [@mwritescode](https://github.com/mwritescode) for adding this dataset.
mwritescode/slither-audited-smart-contracts
[ "task_categories:text-classification", "task_categories:text-generation", "task_ids:multi-label-classification", "task_ids:multi-input-text-classification", "task_ids:language-modeling", "annotations_creators:other", "language_creators:found", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:original", "language:en", "license:mit", "region:us" ]
2022-05-16T11:03:38+00:00
{"annotations_creators": ["other"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification", "text-generation"], "task_ids": ["multi-label-classification", "multi-input-text-classification", "language-modeling"], "pretty_name": "Slither Audited Smart Contracts"}
2022-07-14T13:12:44+00:00
bee4f71ca1bcfc51eb8fc41d65720fb6f487df9d
# Dataset Card for [products-2017] ## 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) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Annotations](#annotations) - [Additional Information](#additional-information) - [Citation Information](#citation-information) ## Dataset Description - **Homepage:** [LSPCv2 Homepage](http://webdatacommons.org/largescaleproductcorpus/v2/index.html) - **Point of Contact:** [Ralph Peeters](mailto:ralph.peeters@uni-mannheim.de) ### Dataset Summary Many e-shops have started to mark-up product data within their HTML pages using the schema.org vocabulary. The Web Data Commons project regularly extracts such data from the Common Crawl, a large public web crawl. The Web Data Commons Training and Test Sets for Large-Scale Product Matching contain product offers from different e-shops in the form of binary product pairs (with corresponding label "match" or "no match") In order to support the evaluation of machine learning-based matching methods, the data is split into training, validation and test set. We provide training and validation sets in four different sizes for four product categories. The labels of the test sets were manually checked while those of the training sets were derived using shared product identifiers from the Web via weak supervision. The data stems from the WDC Product Data Corpus for Large-Scale Product Matching - Version 2.0 which consists of 26 million product offers originating from 79 thousand websites. ### Supported Tasks and Leaderboards Entity Matching, Product Matching ### Languages English ## Dataset Structure ### Data Instances The data is structured as pairs of product offers with the corresponding match/non-match label. This is an example instance from the computers category: ``` {"pair_id":"581109#16637861","label":0,"id_left":581109,"category_left":"Computers_and_Accessories","cluster_id_left":1324529,"brand_left":"\"Gigabyte\"@en","title_left":" \"Gigabyte Radeon RX 480 G1 Gaming 4096MB GDDR5 PCI-Express Graphics Card\"@en \"Gigabyte Gr| OcUK\"@en","description_left":"\"GV-RX480G1 GAMING-4GD, Core Clock: 1202MHz, Boost Clock: 1290MHz, Memory: 4096MB 7000MHz GDDR5, Stream Processors: 2304, Crossfire Ready, VR Ready, FreeSync Ready, 3 Years Warranty\"@en ","price_left":null,"specTableContent_left":null,"id_right":16637861,"category_right":"Computers_and_Accessories","cluster_id_right":107415,"brand_right":"\"Gigabyte\"@en","title_right":" \"Gigabyte Radeon RX 550 Gaming OC 2048MB GDDR5 PCI-Express Graphics Card\"@en \"Gigabyte Gr| OcUK\"@en","description_right":"\"GV-RX550GAMING OC-2GD, Boost: 1219MHz, Memory: 2048MB 7000MHz GDDR5, Stream Processors: 512, DirectX 12 Support, 3 Years Warranty\"@en ","price_right":null,"specTableContent_right":null} ``` ### Data Fields - pair_id: unique identifier of a pair (string) - label: binary label, match or non-match (int) The following attributes are contained twice, once for the first and once for the second product offer - id: unique id of the product offer (int) - category: product category (string) - cluster_id: id of the product cluster from the original corpus this offer belongs to (int) - brand: brand of the product (string) - title: product title (string) - description: longer product description (string) - price: price of the product offer (string) - specTableContent: additional data found in specification tables on the webpage that contains the product offer (string) ### Data Splits - Computers - Test set - 1100 pairs - Small Train set - 2267 pairs - Small Validation set - 567 pairs - Medium Train set - 6475 pairs - Medium Validation set - 1619 pairs - Large Train set - 26687 pairs - Large Validation set - 6672 pairs - XLarge Train set - 54768 pairs - Xlarge Validation set - 13693 pairs - Cameras - Test set - 1100 pairs - Small Train set - 1508 pairs - Small Validation set - 378 pairs - Medium Train set - 4204 pairs - Medium Validation set - 1051 pairs - Large Train set - 16028 pairs - Large Validation set - 4008 pairs - XLarge Train set - 33821 pairs - Xlarge Validation set - 8456 pairs - Watches - Test set - 1100 pairs - Small Train set - 1804 pairs - Small Validation set - 451 pairs - Medium Train set - 5130 pairs - Medium Validation set - 1283 pairs - Large Train set - 21621 pairs - Large Validation set - 5406 pairs - XLarge Train set - 49255 pairs - Xlarge Validation set - 12314 pairs - Shoes - Test set - 1100 pairs - Small Train set - 1650 pairs - Small Validation set - 413 pairs - Medium Train set - 4644 pairs - Medium Validation set - 1161 pairs - Large Train set - 18391 pairs - Large Validation set - 4598 pairs - XLarge Train set - 33943 pairs - Xlarge Validation set - 8486 pairs ## Dataset Creation ### Annotations #### Annotation process - Training and Validation sets: distant supervision via shared schema.org product IDs - Test sets: Single expert annotator #### Who are the annotators? [Ralph Peeters](https://www.uni-mannheim.de/dws/people/researchers/phd-students/ralph-peeters/) ## Additional Information ### Citation Information ``` @inproceedings{primpeli2019wdc, title={The WDC training dataset and gold standard for large-scale product matching}, author={Primpeli, Anna and Peeters, Ralph and Bizer, Christian}, booktitle={Companion Proceedings of The 2019 World Wide Web Conference}, pages={381--386}, year={2019} } ```
wdc/products-2017
[ "task_categories:text-classification", "annotations_creators:weak supervision", "annotations_creators:expert-generated", "multilinguality:monolingual", "size_categories:1K<n<10K", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:unknown", "region:us" ]
2022-05-16T12:23:21+00:00
{"annotations_creators": ["weak supervision", "expert-generated"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K", "10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification", "data-integration"], "task_ids": ["entity-matching", "identity-resolution", "product-matching"], "paperswithcode_id": "wdc-products", "pretty_name": "products-2017", "language_bcp47": ["en-US"]}
2022-10-23T04:50:24+00:00
2d8325c6e3a9cdf433bb87c5050f00c7fdc2e14b
Arabic dialects, multi-class-Classification, Tweets. # Dataset Card for Arabic_Dialect_Identification ## 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](#data-instances) - [Data Splits](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - **Homepage:** [Needs More Information] - **Repository:** https://github.com/Abdelrahmanrezk/dialect-prediction-with-transformers - **Paper:** https://arxiv.org/pdf/2005.06557.pdf - **Leaderboard:** Abdelrahmanrezk@acm.org Aiman.Mahgoub@ul.ie Conor.Ryan@ul.ie - **Point of Contact:** Abdelrahmanrezk@acm.org Aiman.Mahgoub@ul.ie Conor.Ryan@ul.ie ### Dataset Summary We present QADI, an automatically collected dataset of tweets belonging to a wide range of country-level Arabic dialects covering 18 different countries in the Middle East and North Africa region. Our method for building this dataset relies on applying multiple filters to identify users who belong to different countries based on their account descriptions and to eliminate tweets that are either written in Modern Standard Arabic or contain inappropriate language. The resultant dataset contains 540k tweets from 2,525 users who are evenly distributed across 18 Arab countries. ### Supported Tasks and Leaderboards - Multi-class-Classification: Using extrinsic evaluation, we are able to build effective country-level dialect identification on tweets with a macro-averaged F1-score of 51.5% across 18 classes. [Arabic-Dialect-Identification](https://github.com/Abdelrahmanrezk/Arabic-Dialect-Identification), rather than what used in the paper Using intrinsic evaluation, they show that the labels of a set of randomly selected tweets are 91.5% accurate. For extrinsic evaluation, they are able to build effective country-level dialect identification on tweets with a macro-averaged F1-score of 60.6% across 18 classes [ Paper](https://arxiv.org/pdf/2005.06557.pdf). And we aimed by next work to fine tune models with that data to see how the result will be. ### Languages Arabic ## Dataset Structure ### Data Instances '{"id": [1159906099585327104, 950123809608171648, 1091295506960142336], "label": [10, 14, 2], "text": ["ايه الخيبة و الهرتلة قدام الجون دول؟؟ \U0001f92a😲\\nالعيال دي تتعلق في الفلكة يا معلم كلوب", "@FIA_WIS تذكرت ما اسمي عائشة انا اسمي خولة", "@showqiy @3nood_mh لا والله نروح نشجع قطر و نفرح معهم وش رايك بعد"]}' ### Data Fields '"{\'id\': Value(dtype=\'int64\', id=None), \'label\': ClassLabel(num_classes=18, names=[\'OM\', \'SD\', \'SA\', \'KW\', \'QA\', \'LB\', \'JO\', \'SY\', \'IQ\', \'MA\', \'EG\', \'PL\', \'YE\', \'BH\', \'DZ\', \'AE\', \'TN\', \'LY\'], id=None), \'text\': Value(dtype=\'string\', id=None)}"' ### Data Splits This dataset is split into a train, validation and test split. The split sizes are as follow: |Split name | Number of samples | |------------- | ---------- | |train | 440052 | |validation | 9164 | |test | 8981 | ## Dataset Creation ### Curation Rationale [Needs More Information] ### Source Data #### Initial Data Collection and Normalization [Needs More Information] #### Who are the source language producers? [Needs More Information] ### Annotations #### Annotation process [Needs More Information] #### Who are the annotators? [Needs More Information] ### Personal and Sensitive Information [Needs More Information] ## Considerations for Using the Data ### Social Impact of Dataset [Needs More Information] ### Discussion of Biases [Needs More Information] ### Other Known Limitations [Needs More Information] ## Additional Information ### Dataset Curators {aabdelali,hmubarak,ysamih,sahassan2,kdarwish}@hbku.edu.qa ### Licensing Information [Needs More Information] ### Citation Information @unknown{unknown, author = {Abdelali, Ahmed and Mubarak, Hamdy and Samih, Younes and Hassan, Sabit and Darwish, Kareem}, year = {2020}, month = {05}, pages = {}, title = {Arabic Dialect Identification in the Wild} }
Abdelrahman-Rezk/Arabic_Dialect_Identification
[ "arxiv:2005.06557", "region:us" ]
2022-05-16T15:07:50+00:00
{}
2022-05-17T11:02:29+00:00
d1eaf1be22fdc6ea179f170169b54dcd3c7255e4
augustoortiz/Test
[ "license:afl-3.0", "region:us" ]
2022-05-16T17:09:54+00:00
{"license": "afl-3.0"}
2022-06-06T17:54:37+00:00
49734d6eceffcfc95dad4eb8f06176b83b5d2aae
M-CLIP/ImageCaptions-7M-Translations
[ "region:us" ]
2022-05-16T20:02:40+00:00
{"license": "cc-by-4.0"}
2022-05-16T20:03:28+00:00
38ba6af1957f08318aeb725b7f428fab603f0cda
# Dataset Card for "transformers_issues_labels" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mdroth/transformers_issues_labels
[ "region:us" ]
2022-05-16T23:30:58+00:00
{"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "num_labels", "sequence": "int64"}, {"name": "arr_labels", "sequence": "int64"}, {"name": "labels", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 326243.372, "num_examples": 122}, {"name": "valid", "num_bytes": 82897.906, "num_examples": 31}, {"name": "test", "num_bytes": 104290.914, "num_examples": 39}, {"name": "dev", "num_bytes": 2674.126, "num_examples": 1}], "download_size": 296139, "dataset_size": 516106.31799999997}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "valid", "path": "data/valid-*"}, {"split": "test", "path": "data/test-*"}, {"split": "dev", "path": "data/dev-*"}]}]}
2023-07-26T14:38:13+00:00
89ca92ddc949368b54d469103fd7fe8fc216f646
# CLEAR2 dataset This dataset was presented in the article "NAAQA: A Neural Architecture for Acoustic Question answering" submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence in 2021. https://arxiv.org/abs/2106.06147 The code to generate this dataset is available at : https://github.com/J3rome/CLEAR-AQA-Dataset-Generator ## Structure - scenes/ : 1 json file per set (Train/val/test) - Specify the order and the timings of each sounds in a scene - questions/ : 1 json files per set (Train/val/test). - Specify the questions and answers for each scenes. - The functional program of the question is also provided - audio/ : Acoustic scenes recordings (FLAC) - train/ - val/ - test/ - attributes.json : List all possible answers (Split by question categories)
J3romee/CLEAR
[ "arxiv:2106.06147", "region:us" ]
2022-05-17T00:41:58+00:00
{}
2022-05-17T13:17:33+00:00
8a04a9b99a4d0fd4e932a728421f4712f68f2091
# Dataset Card for allenai/wmt22_african ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-instances) - [Data Splits](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - **Homepage:** https://www.statmt.org/wmt22/large-scale-multilingual-translation-task.html - **Repository:** [Needs More Information] - **Paper:** [Needs More Information] - **Leaderboard:** [Needs More Information] - **Point of Contact:** [Needs More Information] ### Dataset Summary This dataset was created based on [metadata](https://github.com/facebookresearch/LASER/tree/main/data/wmt22_african) for mined bitext released by Meta AI. It contains bitext for 248 pairs for the African languages that are part of the [2022 WMT Shared Task on Large Scale Machine Translation Evaluation for African Languages](https://www.statmt.org/wmt22/large-scale-multilingual-translation-task.html). #### How to use the data There are two ways to access the data: * Via the Hugging Face Python datasets library ``` from datasets import load_dataset dataset = load_dataset("allenai/wmt22_african") ``` * Clone the git repo ``` git lfs install git clone https://huggingface.co/datasets/allenai/wmt22_african ``` ### Supported Tasks and Leaderboards This dataset is one of resources allowed under the Constrained Track for the [2022 WMT Shared Task on Large Scale Machine Translation Evaluation for African Languages](https://www.statmt.org/wmt22/large-scale-multilingual-translation-task.html). ### Languages #### Focus languages | Language | Code | | -------- | ---- | | Afrikaans | afr | | Amharic | amh | | Chichewa | nya | | Nigerian Fulfulde | fuv | | Hausa | hau | | Igbo | ibo | | Kamba | kam | | Kinyarwanda | kin | | Lingala | lin | | Luganda | lug | | Luo | luo | | Northern Sotho | nso | | Oroma | orm | | Shona | sna | | Somali | som | | Swahili | swh | | Swati | ssw | | Tswana | tsn | | Umbundu | umb | | Wolof | wol | | Xhosa | xho | | Xitsonga | tso | | Yoruba | yor | | Zulu | zul | Colonial linguae francae: English - eng, French - fra ## Dataset Structure The dataset contains gzipped tab delimited text files for each direction. Each text file contains lines with parallel sentences. ### Data Instances The dataset contains 248 language pairs. Sentence counts for each pair can be found [here](https://huggingface.co/datasets/allenai/wmt22_african/blob/main/sentence_counts.txt). ### Data Fields Every instance for a language pair contains the following fields: 'translation' (containing sentence pairs), 'laser_score', 'source_sentence_lid', 'target_sentence_lid', where 'lid' is language classification probability. Example: ``` { 'translation': { 'afr': 'In Mei 2007, in ooreenstemming met die spesifikasies van die Java Gemeenskapproses, het Sun Java tegnologie geherlisensieer onder die GNU General Public License.', 'eng': 'As of May 2007, in compliance with the specifications of the Java Community Process, Sun relicensed most of its Java technologies under the GNU General Public License.' }, 'laser_score': 1.0717015266418457, 'source_sentence_lid': 0.9996600151062012, 'target_sentence_lid': 0.9972000122070312 } ``` ### Data Splits The data is not split into train, dev, and test. ## Dataset Creation ### Curation Rationale Parallel sentences from monolingual data in Common Crawl and ParaCrawl were identified via [Language-Agnostic Sentence Representation (LASER)](https://github.com/facebookresearch/LASER) encoders. ### Source Data #### Initial Data Collection and Normalization Monolingual data was obtained from Common Crawl and ParaCrawl. #### Who are the source language producers? Contributors to web text in Common Crawl and ParaCrawl. ### Annotations #### Annotation process The data was not human annotated. The metadata used to create the dataset can be found here: https://github.com/facebookresearch/LASER/tree/main/data/wmt22_african #### Who are the annotators? The data was not human annotated. Parallel text from Common Crawl and Para Crawl monolingual data were identified automatically via [LASER](https://github.com/facebookresearch/LASER) encoders. ### Personal and Sensitive Information [Needs More Information] ## Considerations for Using the Data ### Social Impact of Dataset This dataset provides data for training machine learning systems for many languages that have low resources available for NLP. ### Discussion of Biases Biases in the data have not been studied. ### Other Known Limitations [Needs More Information] ## Additional Information ### Dataset Curators [Needs More Information] ### Licensing Information The dataset is released under the terms of [ODC-BY](https://opendatacommons.org/licenses/by/1-0/). By using this, you are also bound by the Internet Archive [Terms of Use](https://archive.org/about/terms.php) in respect of the content contained in the dataset. ### Citation Information NLLB Team et al, No Language Left Behind: Scaling Human-Centered Machine Translation, Arxiv, 2022. ### Contributions We thank the AllenNLP team at AI2 for hosting and releasing this data, including [Akshita Bhagia](https://akshitab.github.io/) (for engineering efforts to create the huggingface dataset), and [Jesse Dodge](https://jessedodge.github.io/) (for organizing the connection).
allenai/wmt22_african
[ "region:us" ]
2022-05-17T03:12:30+00:00
{}
2022-08-15T20:52:43+00:00
bb9ba95ef816ffe2647eab4b4f5ce3d84a9d1d2c
STAM/agricore
[ "license:mit", "region:us" ]
2022-05-17T10:05:13+00:00
{"license": "mit"}
2022-05-17T13:48:55+00:00
5acf467539fcfa80b4c7d24ddebd41151a69fc3d
# Dataset Card for ActivityNet Captions ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** https://cs.stanford.edu/people/ranjaykrishna/densevid/ - **Paper:** https://arxiv.org/abs/1705.00754 ### Dataset Summary The ActivityNet Captions dataset connects videos to a series of temporally annotated sentence descriptions. Each sentence covers an unique segment of the video, describing multiple events that occur. These events may occur over very long or short periods of time and are not limited in any capacity, allowing them to co-occur. On average, each of the 20k videos contains 3.65 temporally localized sentences, resulting in a total of 100k sentences. We find that the number of sentences per video follows a relatively normal distribution. Furthermore, as the video duration increases, the number of sentences also increases. Each sentence has an average length of 13.48 words, which is also normally distributed. You can find more details of the dataset under the ActivityNet Captions Dataset section, and under supplementary materials in the paper. ### Languages The captions in the dataset are in English. ## Dataset Structure ### Data Fields - `video_id` : `str` unique identifier for the video - `video_path`: `str` Path to the video file -`duration`: `float32` Duration of the video - `captions_starts`: `List_float32` List of timestamps denoting the time at which each caption starts - `captions_ends`: `List_float32` List of timestamps denoting the time at which each caption ends - `en_captions`: `list_str` List of english captions describing parts of the video ### Data Splits | |train |validation| test | Overall | |-------------|------:|---------:|------:|------:| |# of videos|10,009 |4,917 |4,885 |19,811 | ### Annotations Quoting [ActivityNet Captions' paper](https://arxiv.org/abs/1705.00754): \ "Each annotation task was divided into two steps: (1) Writing a paragraph describing all major events happening in the videos in a paragraph, with each sentence of the paragraph describing one event, and (2) Labeling the start and end time in the video in which each sentence in the paragraph event occurred." ### Who annotated the dataset? Amazon Mechnical Turk annotators ### Personal and Sensitive Information Nothing specifically mentioned in the paper. ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Licensing Information [More Information Needed] ### Citation Information ```bibtex @InProceedings{tgif-cvpr2016, @inproceedings{krishna2017dense, title={Dense-Captioning Events in Videos}, author={Krishna, Ranjay and Hata, Kenji and Ren, Frederic and Fei-Fei, Li and Niebles, Juan Carlos}, booktitle={International Conference on Computer Vision (ICCV)}, year={2017} } ``` ### Contributions Thanks to [@leot13](https://github.com/leot13) for adding this dataset.
HuggingFaceM4/ActivitiyNet_Captions
[ "task_ids:closed-domain-qa", "annotations_creators:expert-generated", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:10k<n<100K", "source_datasets:original", "language:en", "license:other", "arxiv:1705.00754", "region:us" ]
2022-05-17T10:26:07+00:00
{"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10k<n<100K"], "source_datasets": ["original"], "task_categories": ["video-captionning"], "task_ids": ["closed-domain-qa"], "pretty_name": "ActivityNet Captions"}
2022-10-23T04:50:46+00:00
2042af8ea928da30559f8a56dd81f36a945c6fc6
# Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** http://raingo.github.io/TGIF-Release/ - **Repository:** https://github.com/raingo/TGIF-Release - **Paper:** https://arxiv.org/abs/1604.02748 - **Point of Contact:** mailto: yli@cs.rochester.edu ### Dataset Summary The Tumblr GIF (TGIF) dataset contains 100K animated GIFs and 120K sentences describing visual content of the animated GIFs. The animated GIFs have been collected from Tumblr, from randomly selected posts published between May and June of 2015. We provide the URLs of animated GIFs in this release. The sentences are collected via crowdsourcing, with a carefully designed annotation interface that ensures high quality dataset. We provide one sentence per animated GIF for the training and validation splits, and three sentences per GIF for the test split. The dataset shall be used to evaluate animated GIF/video description techniques. ### Languages The captions in the dataset are in English. ## Dataset Structure ### Data Fields - `video_path`: `str` "https://31.media.tumblr.com/001a8b092b9752d260ffec73c0bc29cd/tumblr_ndotjhRiX51t8n92fo1_500.gif" -`video_bytes`: `large_bytes` video file in bytes format - `en_global_captions`: `list_str` List of english captions describing the entire video ### Data Splits | |train |validation| test | Overall | |-------------|------:|---------:|------:|------:| |# of GIFs|80,000 |10,708 |11,360 |102,068 | ### Annotations Quoting [TGIF paper](https://arxiv.org/abs/1604.02748): \ "We annotated animated GIFs with natural language descriptions using the crowdsourcing service CrowdFlower. We carefully designed our annotation task with various quality control mechanisms to ensure the sentences are both syntactically and semantically of high quality. A total of 931 workers participated in our annotation task. We allowed workers only from Australia, Canada, New Zealand, UK and USA in an effort to collect fluent descriptions from native English speakers. Figure 2 shows the instructions given to the workers. Each task showed 5 animated GIFs and asked the worker to describe each with one sentence. To promote language style diversity, each worker could rate no more than 800 images (0.7% of our corpus). We paid 0.02 USD per sentence; the entire crowdsourcing cost less than 4K USD. We provide details of our annotation task in the supplementary material." ### Personal and Sensitive Information Nothing specifically mentioned in the paper. ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Licensing Information This dataset is provided to be used for approved non-commercial research purposes. No personally identifying information is available in this dataset. ### Citation Information ```bibtex @InProceedings{tgif-cvpr2016, author = {Li, Yuncheng and Song, Yale and Cao, Liangliang and Tetreault, Joel and Goldberg, Larry and Jaimes, Alejandro and Luo, Jiebo}, title = "{TGIF: A New Dataset and Benchmark on Animated GIF Description}", booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2016} } ``` ### Contributions Thanks to [@leot13](https://github.com/leot13) for adding this dataset.
HuggingFaceM4/TGIF
[ "task_categories:question-answering", "task_categories:visual-question-answering", "task_ids:closed-domain-qa", "annotations_creators:expert-generated", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:original", "language:en", "license:other", "arxiv:1604.02748", "region:us" ]
2022-05-17T10:40:36+00:00
{"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["question-answering", "visual-question-answering"], "task_ids": ["closed-domain-qa"], "pretty_name": "TGIF"}
2022-10-25T09:25:38+00:00
44fa15921b4c889113cc5df03dd4901b49161ab7
mteb/banking77
[ "language:en", "region:us" ]
2022-05-17T11:14:06+00:00
{"language": ["en"]}
2022-09-27T18:15:02+00:00
5c40f6fec6cd51e0122a9d0e6cb7565dec34ca7a
# Dataset Card for sd-nlp ## Table of Contents - [Dataset Card for [EMBO/sd-nlp-non-tokenized]](#dataset-card-for-dataset-name) - [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) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) - [Who are the source language producers?](#who-are-the-source-language-producers) - [Annotations](#annotations) - [Annotation process](#annotation-process) - [Who are the annotators?](#who-are-the-annotators) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** https://sourcedata.embo.org - **Repository:** https://github.com/source-data/soda-roberta - **Paper:** - **Leaderboard:** - **Point of Contact:** thomas.lemberger@embo.org, jorge.abreu@embo.org ### Dataset Summary This dataset is based on the content of the SourceData (https://sourcedata.embo.org) database, which contains manually annotated figure legends written in English and extracted from scientific papers in the domain of cell and molecular biology (Liechti et al, Nature Methods, 2017, https://doi.org/10.1038/nmeth.4471). Unlike the dataset [`sd-nlp`](https://huggingface.co/datasets/EMBO/sd-nlp), pre-tokenized with the `roberta-base` tokenizer, this dataset is not previously tokenized, but just splitted into words. Users can therefore use it to fine-tune other models. Additional details at https://github.com/source-data/soda-roberta ### Supported Tasks and Leaderboards Tags are provided as [IOB2-style tags](https://en.wikipedia.org/wiki/Inside%E2%80%93outside%E2%80%93beginning_(tagging)). `PANELIZATION`: figure captions (or figure legends) are usually composed of segments that each refer to one of several 'panels' of the full figure. Panels tend to represent results obtained with a coherent method and depicts data points that can be meaningfully compared to each other. `PANELIZATION` provide the start (B-PANEL_START) of these segments and allow to train for recogntion of the boundary between consecutive panel lengends. `NER`: biological and chemical entities are labeled. Specifically the following entities are tagged: - `SMALL_MOLECULE`: small molecules - `GENEPROD`: gene products (genes and proteins) - `SUBCELLULAR`: subcellular components - `CELL`: cell types and cell lines. - `TISSUE`: tissues and organs - `ORGANISM`: species - `DISEASE`: diseases (see limitations) - `EXP_ASSAY`: experimental assays `ROLES`: the role of entities with regard to the causal hypotheses tested in the reported results. The tags are: - `CONTROLLED_VAR`: entities that are associated with experimental variables and that subjected to controlled and targeted perturbations. - `MEASURED_VAR`: entities that are associated with the variables measured and the object of the measurements. `BORING`: entities are marked with the tag `BORING` when they are more of descriptive value and not directly associated with causal hypotheses ('boring' is not an ideal choice of word, but it is short...). Typically, these entities are so-called 'reporter' geneproducts, entities used as common baseline across samples, or specify the context of the experiment (cellular system, species, etc...). ### Languages The text in the dataset is English. ## Dataset Structure ### Data Instances ```json { "words": [ ".", "Figure", "6", "(", "A", ")", "Cisplatin", "dose", "response", "curves", "of", "(", "i", ")", "MB002", ",", "(", "ii", ")", "Daoy", ",", "and", "(", "iii", ")", "MIC", "in", "the", "absence", "(", "EV", ")", "or", "presence", "of", "SOX9", "by", "Alamar", "blue", ".", "Cells", "were", "pre", "-", "conditioned", "with", "doxycycline", "to", "induce", "expression", "of", "SOX9", "(", "or", "EV", ")", "prior", "to", "treatment", "with", "increasing", "concentrations", "of", "cisplatin", ".", "The", "IC50", "were", "calculated", "following", "5", "(", "MB002", "and", "MIC", ")", "or", "3", "days", "(", "Daoy", ")", "of", "treatment", ".", "Data", "are", "mean", "+", "standard", "deviation", "from", "3", "independent", "repeats", ",", "each", "containing", "5", "technical", "replicates", ".", "(", "B", ")", "Cisplatin", "dose", "response", "curves", "of", "SOX9", "-", "expressing", "(", "i", ")", "Daoy", "and", "(", "ii", ")", "MIC", "in", "the", "absence", "or", "presence", "of", "FBW7\u03b1", ".", "Experiments", "and", "data", "analysis", "were", "performed", "as", "described", "in", "(", "A", ")", "(", "C", ")", "Overall", "survival", "analysis", "of", "mice", "bearing", "Daoy", "or", "Daoy", "-", "expressing", "dox", "-", "inducible", "SOX9", "treated", "with", "cisplatin", ".", "The", "dox", "-", "preconditioned", "cells", "(", "105", "cells", ")", "were", "orthotopically", "xenografted", "to", "Nude", "-", "Foxn1nu", "mice", "and", "left", "for", "1", "week", "to", "prior", "to", "being", "treated", "with", "vehicle", "control", "or", "cisplatin", "(", "2mg", "/", "kg", ")", "intraperitoneally", "for", "every", "other", "day", "for", "a", "total", "of", 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"O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"] } } ``` ### Data Fields - `words`: `list` of `strings` text tokenized into words. - `panel_id`: ID of the panel to which the example belongs to in the SourceData database. - `label_ids`: - `entity_types`: `list` of `strings` for the IOB2 tags for entity type; possible value in `["O", "I-SMALL_MOLECULE", "B-SMALL_MOLECULE", "I-GENEPROD", "B-GENEPROD", "I-SUBCELLULAR", "B-SUBCELLULAR", "I-CELL", "B-CELL", "I-TISSUE", "B-TISSUE", "I-ORGANISM", "B-ORGANISM", "I-EXP_ASSAY", "B-EXP_ASSAY"]` - `geneprod_roles`: `list` of `strings` for the IOB2 tags for experimental roles; values in `["O", "I-CONTROLLED_VAR", "B-CONTROLLED_VAR", "I-MEASURED_VAR", "B-MEASURED_VAR"]` - `boring`: `list` of `strings` for IOB2 tags for entities unrelated to causal design; values in `["O", "I-BORING", "B-BORING"]` - `panel_start`: `list` of `strings` for IOB2 tags `["O", "B-PANEL_START"]` - `small_mol_roles`: `list` of `strings` for IOB2 tags showing whether the entity is the variable being measured or the control variable `["O", "B-CONTROLLED_VAR", "I-CONTROLLED_VAR", "B-MEASURED_VAR", "I-MEASURED_VAR",]` ### Data Splits - train: - features: ['words', 'labels', 'tag_mask', 'panel_id'], - num_rows: 50_198 - validation: - features: ['words', 'labels', 'tag_mask', 'panel_id'], - num_rows: 5_946 - test: - features: ['words', 'labels', 'tag_mask', 'panel_id'], - num_rows: 6_222 ## Dataset Creation ### Curation Rationale The dataset was built to train models for the automatic extraction of a knowledge graph based from the scientific literature. The dataset can be used to train models for text segmentation, named entity recognition and semantic role labeling. ### Source Data #### Initial Data Collection and Normalization Figure legends were annotated according to the SourceData framework described in Liechti et al 2017 (Nature Methods, 2017, https://doi.org/10.1038/nmeth.4471). The curation tool at https://curation.sourcedata.io was used to segment figure legends into panel legends, tag enities, assign experiemental roles and normalize with standard identifiers (not available in this dataset). The source data was downloaded from the SourceData API (https://api.sourcedata.io) on 21 Jan 2021. #### Who are the source language producers? The examples are extracted from the figure legends from scientific papers in cell and molecular biology. ### Annotations #### Annotation process The annotations were produced manually with expert curators from the SourceData project (https://sourcedata.embo.org) #### Who are the annotators? Curators of the SourceData project. ### Personal and Sensitive Information None known. ## Considerations for Using the Data ### Social Impact of Dataset Not applicable. ### Discussion of Biases The examples are heavily biased towards cell and molecular biology and are enriched in examples from papers published in EMBO Press journals (https://embopress.org) The annotation of diseases has been added recently to the dataset. Although they appear, the number is very low and they are not consistently tagged through the entire dataset. We recommend to use the diseases by filtering the examples that contain them. ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators Thomas Lemberger, EMBO. Jorge Abreu Vicente, EMBO ### Licensing Information CC BY 4.0 ### Citation Information We are currently working on a paper to present the dataset. It is expected to be ready by 2023 spring. In the meantime, the following paper should be cited. ```latex @article {Liechti2017, author = {Liechti, Robin and George, Nancy and Götz, Lou and El-Gebali, Sara and Chasapi, Anastasia and Crespo, Isaac and Xenarios, Ioannis and Lemberger, Thomas}, title = {SourceData - a semantic platform for curating and searching figures}, year = {2017}, volume = {14}, number = {11}, doi = {10.1038/nmeth.4471}, URL = {https://doi.org/10.1038/nmeth.4471}, eprint = {https://www.biorxiv.org/content/early/2016/06/20/058529.full.pdf}, journal = {Nature Methods} } ``` ### Contributions Thanks to [@tlemberger](https://github.com/tlemberger>) and [@drAbreu](https://github.com/drAbreu>) for adding this dataset.
EMBO/sd-nlp-non-tokenized
[ "task_categories:token-classification", "task_categories:text-classification", "task_ids:multi-class-classification", "task_ids:named-entity-recognition", "task_ids:parsing", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:10K<n<100K", "language:en", "license:cc-by-4.0", "region:us" ]
2022-05-17T11:34:22+00:00
{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["token-classification", "text-classification"], "task_ids": ["multi-class-classification", "named-entity-recognition", "parsing"]}
2023-01-19T10:12:45+00:00
ab6beed52fd523875ea09f525e5f42f91f086575
# Dataset Card for YOSM ## 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) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** - **Repository:** [Iyanuoluwa/YOSM](https://github.com/IyanuSh/YOSM) - **Paper:** [A new Yorùbá Sentiment Corpus for Nigerian/Nollywood Movie Reviews](https://arxiv.org/pdf/2204.09711.pdf) - **Point of Contact:** [Iyanuoluwa Shode](mailto:shodei1@montclair.edu) ### Dataset Summary YOSM is the first Yorùbá sentiment corpus for Nollywood movie reviews. The reviews were collected from movie reviews websites - IMDB, Rotten Tomatoes, LetterboxD, Cinemapointer, and Nollyrated. ### Languages Yorùbá (ISO 639-1: yo) - the third most spoken indigenous African language with over 50 million speakers. ## Dataset Structure ### Data Instances An instance consists of a movie review and the corresponding class label. ### Data Fields - `yo_review`: A movie review in Yorùbá - `sentiment`: The label describing the sentiment of the movie review. ### Data Splits The YOSM dataset has 3 splits: _train_, _dev_, and _test_. Below are the statistics for Version 3.0.0 of the dataset. | Dataset Split | Number of Instances in Split | | ------------- | ------------------------------------------- | | Train | 800 | | Development | 200 | | Test | 500 | ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions
Iyanuoluwa/YOSM
[ "task_categories:text-classification", "task_ids:sentiment-analysis", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:yo", "license:unknown", "movie reviews", "nollywood", "arxiv:2204.09711", "region:us" ]
2022-05-17T12:00:01+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": ["sentiment-analysis"], "tags": ["movie reviews", "nollywood"]}
2023-01-10T06:28:01+00:00
c8f8a04c85d0138d9e220e3670c400a11b788145
Original dataset at [this repo](https://github.com/laleye/pyFongbe) We transformed the original repo to take into account the waveform values directly in the csv. Using `IPython.diplay` module, you can load an audio by doing: ```python import pandas as pd from IPython.display import Audio, display train = pd.read_csv("train.csv") sample = train.sample(1).values[0] print(f"Text: {sample[2]}") display(Audio(sample[3], rate=16000, autoplay=True)) ``` ``` Text: alin ɔ ɖo xwe tεntin Audio : ```
godwinh/fongbe-asr
[ "license:apache-2.0", "region:us" ]
2022-05-17T15:34:31+00:00
{"license": "apache-2.0"}
2022-05-30T13:36:46+00:00
b377e1934d8a92e2056e90dc64dc9c0d8f695992
Yingda/test
[ "license:apache-2.0", "region:us" ]
2022-05-18T02:01:37+00:00
{"license": "apache-2.0"}
2022-05-18T02:01:37+00:00
eb9cbfc2b39b7c21f1c92fdd4bf015b161748aee
justmywyw/datasets
[ "license:apache-2.0", "region:us" ]
2022-05-18T02:15:36+00:00
{"license": "apache-2.0"}
2022-05-18T02:15:36+00:00
a1eaa112f9ea588eb21429a9f62b47001aa6fa8e
PontifexMaximus/Persian-English
[ "license:afl-3.0", "region:us" ]
2022-05-18T04:49:51+00:00
{"license": "afl-3.0"}
2022-05-18T06:54:17+00:00
44149c050c2e5825bf67558f894091f6503c206a
PontifexMaximus/En-as
[ "license:afl-3.0", "region:us" ]
2022-05-18T07:30:57+00:00
{"license": "afl-3.0"}
2022-05-24T05:50:46+00:00
44ae4417b5a84a46a2d651546d38ad6c906f6f9f
ROOTS Subset: roots_ar_arabench # arabench - Dataset uid: `arabench` ### Description AraBench is an evaluation suite for dialectal Arabic to English machine translation. AraBench offers 4 coarse, 15 fine-grained and 25 city-level dialect categories, belonging to diverse genres, such as media, chat, religion and travel with varying level of dialectness. ### Homepage https://alt.qcri.org/resources1/mt/arabench/ ### Licensing - open license - cc-by-4.0: Creative Commons Attribution 4.0 International ### Speaker Locations - Northern Africa - Western Asia - Algeria - Egypt - Morocco - Jordan - Sudan - Tunisia - Lebanon - Libya - Iraq - Qatar - Yemen - Oman - Saudi Arabia - Syria - Palestine ### Sizes - 0.0018 % of total - 0.0165 % of ar ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300
bigscience-data/roots_ar_arabench
[ "language:ar", "license:apache-2.0", "region:us" ]
2022-05-18T08:03:10+00:00
{"language": "ar", "license": "apache-2.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T10:59:54+00:00
5dd3350f4affa3e096b9aaf0afc69ad166059b29
ROOTS Subset: roots_ar_labr # labr - Dataset uid: `labr` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0076 % of total - 0.0701 % of ar ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300
bigscience-data/roots_ar_labr
[ "language:ar", "license:gpl-2.0", "region:us" ]
2022-05-18T08:06:23+00:00
{"language": "ar", "license": "gpl-2.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T10:59:59+00:00
cd81d6bdf8ff0507d847c641ecb3c89dca5c032f
ROOTS Subset: roots_ar_wikinews # wikinews_filtered - Dataset uid: `wikinews_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0307 % of total - 0.0701 % of ar - 0.3036 % of pt - 0.0271 % of en - 0.0405 % of fr - 0.2119 % of indic-ta - 0.0081 % of zh - 0.0510 % of es - 0.0725 % of ca ### BigScience processing steps #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024
bigscience-data/roots_ar_wikinews
[ "language:ar", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:06:27+00:00
{"language": "ar", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:00:04+00:00
5f30313f238e6fb9dc3216cdbb70609aef7fe8de
ROOTS Subset: roots_ar_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space
bigscience-data/roots_ar_wikiquote
[ "language:ar", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:06:27+00:00
{"language": "ar", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:00:10+00:00
2535686910bc5a4b3cdbb07fcfec2ccd4363188e
ROOTS Subset: roots_ar_wikiversity # wikiversity_filtered - Dataset uid: `wikiversity_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0367 % of total - 0.1050 % of en - 0.1178 % of fr - 0.1231 % of pt - 0.0072 % of zh - 0.0393 % of es - 0.0076 % of ar - 0.0069 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_ar_wikiversity
[ "language:ar", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:06:27+00:00
{"language": "ar", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:00:16+00:00
6acda82794280990000c7ba1b4d68b13428cc938
bigscience-data/roots_ar_wiktionary
[ "language:ar", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:06:27+00:00
{"language": "ar", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:00:21+00:00
c946fe7edfad84aa8895c3151f86e7fff313aaa0
ROOTS Subset: roots_ca_catalan_government_crawling # Catalan Government Crawling - Dataset uid: `catalan_government_crawling` ### Description The Catalan Government Crawling Corpus is a 39-million-token web corpus of Catalan built from the web. It has been obtained by crawling the .gencat domain and subdomains, belonging to the Catalan Government during September and October 2020. It consists of 39.117.909 tokens, 1.565.433 sentences and 71.043 documents. Documents are separated by single new lines. It is a subcorpus of the Catalan Textual Corpus. ### Homepage https://zenodo.org/record/4636486 ### Licensing - open license - cc0-1.0: Creative Commons Zero v1.0 Universal ### Speaker Locations - Southern Europe - Spain ### Sizes - 0.0219 % of total - 1.8426 % of ca ### BigScience processing steps #### Filters applied to: ca - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_ca_catalan_government_crawling
[ "language:ca", "license:cc0-1.0", "region:us" ]
2022-05-18T08:06:28+00:00
{"language": "ca", "license": "cc0-1.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:00:27+00:00
09cb1c000d6d03fede5f4e7a57f3f4612f65e4e6
ROOTS Subset: roots_ar_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs
bigscience-data/roots_ar_wikisource
[ "language:ar", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:06:32+00:00
{"language": "ar", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:00:32+00:00
441892656c35920356185adba185e8a09eea557f
ROOTS Subset: roots_ca_enriched_conllu_ancora_for_ml_training # Enriched CONLLU Ancora for ML training - Dataset uid: `enriched_conllu_ancora_for_ml_training` ### Description This is an enriched version for Machine Learning purposes of the CONLLU adaptation of AnCora corpus . This version of the corpus was developed by BSC TeMU as part of the AINA project, and has been used to do multi-task learning for the Catalan language Spacy 3.0 models. ### Homepage https://zenodo.org/record/5036651 ### Licensing - cc-by-4.0: Creative Commons Attribution 4.0 International ### Speaker Locations - Spain ### Sizes - 0.0000 % of total - 0.0000 % of ca ### BigScience processing steps #### Filters applied to: ca - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_ca_enriched_conllu_ancora_for_ml_training
[ "language:ca", "license:cc-by-4.0", "region:us" ]
2022-05-18T08:06:32+00:00
{"language": "ca", "license": "cc-by-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:00:37+00:00
3427690241eeb836fe9abd1aa3645761451f48d9
ROOTS Subset: roots_ar_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs
bigscience-data/roots_ar_wikipedia
[ "language:ar", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:06:35+00:00
{"language": "ar", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:00:43+00:00
a741f642888d656b206fc3a6956048ccdd5052da
ROOTS Subset: roots_ca_tecla # TeCla: Text Classification Catalan dataset - Dataset uid: `tecla` ### Description TeCla is a Catalan News corpus for thematic Text Classification tasks. It contains 153.265 articles classified under 30 different categories. The source data is crawled from the ACN (Catalan News Agency) site: http://www.acn.cat, and used under CC-BY-NC-ND 4.0 licence. The dataset is released under the same licence, and is intended exclusively for training Machine Learning models. This dataset was developed by BSC TeMU as part of the AINA project, and intended as part of CLUB (Catalan Language Understanding Benchmark). ### Homepage https://zenodo.org/record/4761505 ### Licensing - non-commercial use - do not distribute - cc-by-nc-nd-1.0: Creative Commons Attribution Non Commercial No Derivatives 1.0 Generic ### Speaker Locations - Spain ### Sizes - 0.0266 % of total - 2.2433 % of ca ### BigScience processing steps #### Filters applied to: ca - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_ca_tecla
[ "language:ca", "license:cc-by-nc-nd-4.0", "region:us" ]
2022-05-18T08:06:43+00:00
{"language": "ca", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:00:48+00:00
3312573e7782a2f9c53478fc242ff866ba5390f3
ROOTS Subset: roots_ca_vilaquad # UIT-ViQuAD – A Vietnamese Dataset for Evaluating Machine Reading Comprehension. - Dataset uid: `vilaquad` ### Description Vietnamese Question Answering Dataset (UIT-ViQuAD), a new dataset for the low-resource language as Vietnamese to evaluate MRC models. This dataset comprises over 23,000 human-generated question-answer pairs based on 5,109 passages of 174 Vietnamese articles from Wikipedia. ### Homepage https://sites.google.com/uit.edu.vn/uit-nlp/datasets-projects ### Licensing - open license - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International Creative Commons Attribution 4.0 International License ### Speaker Locations - South-eastern Asia - Vietnam ### Sizes - 0.0001 % of total - 0.0065 % of ca ### BigScience processing steps #### Filters applied to: ca - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_ca_vilaquad
[ "language:ca", "license:cc-by-sa-4.0", "region:us" ]
2022-05-18T08:06:43+00:00
{"language": "ca", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:00:53+00:00
76462074fb47aea116a4ffe8d29a670a5c8f566e
ROOTS Subset: roots_ca_parlament_parla # parlament_parla - Dataset uid: `parlament_parla` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0000 % of total - 0.0000 % of ca ### BigScience processing steps #### Filters applied to: ca - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_ca_parlament_parla
[ "language:ca", "license:cc-by-4.0", "region:us" ]
2022-05-18T08:06:43+00:00
{"language": "ca", "license": "cc-by-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:00:58+00:00
73e77fa53ee61328e77dad4d7b0f4c0ea5ed91f9
ROOTS Subset: roots_ca_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300
bigscience-data/roots_ca_ted_talks_iwslt
[ "language:ca", "license:cc-by-nc-nd-4.0", "region:us" ]
2022-05-18T08:06:43+00:00
{"language": "ca", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:01:04+00:00
0e6b7875e9321c296959e4fcf7a5e2a4083c91a0
ROOTS Subset: roots_ca_catalan_textual_corpus # Catalan Textual Corpus - Dataset uid: `catalan_textual_corpus` ### Description The Catalan Textual Corpus is a 1760-million-token web corpus of Catalan built from several sources: existing corpus such as DOGC, CaWac (non-dedup version), Oscar (unshuffled version), Open Subtitles, Catalan Wikipedia; and three brand new crawlings: the Catalan General Crawling, obtained by crawling the 500 most popular .cat and .ad domains; the Catalan Government Crawling, obtained by crawling the .gencat domain and subdomains, belonging to the Catalan Government; and the ACN corpus with 220k news items from March 2015 until October 2020, crawled from the Catalan News Agency. It consists of 1.758.388.896 tokens, 73.172.152 sentences and 12.556.365 documents. Documents are separated by single new lines. These boundaries have been preserved as long as the license allowed it. ### Homepage https://zenodo.org/record/4519349 ### Licensing - open license - cc-by-4.0: Creative Commons Attribution 4.0 International ### Speaker Locations - Southern Europe - Spain ### Sizes - 0.7691 % of total - 64.8510 % of ca ### BigScience processing steps #### Filters applied to: ca - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_ca_catalan_textual_corpus
[ "language:ca", "license:cc-by-sa-4.0", "region:us" ]
2022-05-18T08:06:43+00:00
{"language": "ca", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:01:09+00:00
90d09ac021b90048ec5d1ea4e60153394665af69
ROOTS Subset: roots_ca_xquad_ca # XQuAD-ca - Dataset uid: `xquad_ca` ### Description Professional translation into Catalan of XQuAD dataset (https://github.com/deepmind/xquad). XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set of SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German, Greek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, and Hindi. Rumanian was added later. We added the 13th language to the corpus using also professional native catalan translators. XQuAD and XQuAD-Ca datasets are released under CC-by-sa licence. ### Homepage https://zenodo.org/record/4757559 ### Licensing - cc-by-sa-4.0: Creative Commons Attribution Share Alike 4.0 International ### Speaker Locations - Spain ### Sizes - 0.0000 % of total - 0.0007 % of ca ### BigScience processing steps #### Filters applied to: ca - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_ca_xquad_ca
[ "language:ca", "license:cc-by-sa-4.0", "region:us" ]
2022-05-18T08:06:52+00:00
{"language": "ca", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:01:14+00:00
e93b7d9c9502c3368ef54905678f9c086148e5c6
ROOTS Subset: roots_ca_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space
bigscience-data/roots_ca_wikiquote
[ "language:ca", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:06:52+00:00
{"language": "ca", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:01:19+00:00
72a32d2ab1bf6c464d53950abbc66824236e9907
ROOTS Subset: roots_ca_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs
bigscience-data/roots_ca_wikisource
[ "language:ca", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:06:52+00:00
{"language": "ca", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:01:24+00:00
f1f3970a89af4942fd1e011e62cc9c31a91b15c7
ROOTS Subset: roots_ca_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_ca_wikibooks
[ "language:ca", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:06:53+00:00
{"language": "ca", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:01:29+00:00
83c10cd35d134a67ccb5a12a21d55c83693ced9c
ROOTS Subset: roots_ca_wikimedia # wikimedia_filtered - Dataset uid: `wikimedia_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0005 % of total - 0.0835 % of id - 0.0126 % of ca - 0.0054 % of pt - 0.0005 % of indic-hi ### BigScience processing steps #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_ca_wikimedia
[ "language:ca", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:06:53+00:00
{"language": "ca", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:01:35+00:00
87c457a76b9753db33d5e37649c3b9826977a583
ROOTS Subset: roots_ca_viquiquad # UIT-ViQuAD – A Vietnamese Dataset for Evaluating Machine Reading Comprehension. - Dataset uid: `viquiquad` ### Description Vietnamese Question Answering Dataset (UIT-ViQuAD), a new dataset for the low-resource language as Vietnamese to evaluate MRC models. This dataset comprises over 23,000 human-generated question-answer pairs based on 5,109 passages of 174 Vietnamese articles from Wikipedia. ### Homepage https://sites.google.com/uit.edu.vn/uit-nlp/datasets-projects ### Licensing - open license - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International Creative Commons Attribution 4.0 International License ### Speaker Locations - South-eastern Asia - Vietnam ### Sizes - 0.0001 % of total - 0.0047 % of ca ### BigScience processing steps #### Filters applied to: ca - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_ca_viquiquad
[ "language:ca", "license:cc-by-sa-4.0", "region:us" ]
2022-05-18T08:06:53+00:00
{"language": "ca", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:01:40+00:00
d6be6f8085d8e7078f4399141cb1ffe8223a365f
ROOTS Subset: roots_ca_wikinews # wikinews_filtered - Dataset uid: `wikinews_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0307 % of total - 0.0701 % of ar - 0.3036 % of pt - 0.0271 % of en - 0.0405 % of fr - 0.2119 % of indic-ta - 0.0081 % of zh - 0.0510 % of es - 0.0725 % of ca ### BigScience processing steps #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024
bigscience-data/roots_ca_wikinews
[ "language:ca", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:06:53+00:00
{"language": "ca", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:01:45+00:00
166ea76691fe51e26623736b4b205ba5d36a9c6b
ROOTS Subset: roots_ca_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs
bigscience-data/roots_ca_wikipedia
[ "language:ca", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:06:55+00:00
{"language": "ca", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:01:50+00:00
8439c7c9a78cfb337e5cfb26ad99b725c9236754
ROOTS Subset: roots_en_odiencorp # OdiEnCorp2.0 - Dataset uid: `odiencorp` ### Description OdiEnCorp is a collection of Odia-English parallel and Odia monolingual sentences collected from different sources such as Odia Wikipedia, web sites, books, and dictionaries using different manual and machine learning techniques including web scraping and optical character recognition. OdiEnCorp 2.0 served in WAT 2020 EnglishOdia Indic Task. ### Homepage https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3211 ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 0.0043 % of total - 2.2553 % of indic-or - 0.0000 % of en ### BigScience processing steps #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: en - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_en_odiencorp
[ "language:en", "license:cc-by-nc-sa-4.0", "region:us" ]
2022-05-18T08:07:03+00:00
{"language": "en", "license": "cc-by-nc-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:01:55+00:00
f25474aefc643f0071caf38853c7f366591bb103
ROOTS Subset: roots_en_book_dash_books # Book Dash Books - Dataset uid: `book_dash_books` ### Description Book Dash believes that every child should own one hundred books by the age of five. To that end, we gather creative professionals who volunteer to create new, African storybooks that anyone can freely translate, print and distribute. In this way, we have vastly reduced the costs involved in putting high-quality books in children’s hands and hearts. ### Homepage https://bookdash.org/books/ ### Licensing Creative Commons Attribution 4.0 ### Speaker Locations - Africa - South Africa ### Sizes - 0.0000 % of total - 0.0000 % of en - 0.0000 % of fr ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_en_book_dash_books
[ "language:en", "license:cc-by-4.0", "region:us" ]
2022-05-18T08:07:03+00:00
{"language": "en", "license": "cc-by-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:02:01+00:00
56ac6565360a4ffef212ef1db6dbba9a6f72a8b6
ROOTS Subset: roots_en_no_code_stackexchange # Stack Exchange Website - Dataset uid: `no_code_stackexchange` ### Description Launched in 2010, the Stack Exchange network comprises 173 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. ### Homepage https://stackexchange.com/ ### Licensing - open license - cc-by-sa-4.0: Creative Commons Attribution Share Alike 4.0 International Subscriber Content You agree that any and all content, including without limitation any and all text, graphics, logos, tools, photographs, images, illustrations, software or source code, audio and video, animations, and product feedback (collectively, “Content”) that you provide to the public Network (collectively, “Subscriber Content”), is perpetually and irrevocably licensed to Stack Overflow on a worldwide, royalty-free, non-exclusive basis pursuant to Creative Commons licensing terms (CC BY-SA 4.0), and you grant Stack Overflow the perpetual and irrevocable right and license to access, use, process, copy, distribute, export, display and to commercially exploit such Subscriber Content, even if such Subscriber Content has been contributed and subsequently removed by you as reasonably necessary to, for example (without limitation): Provide, maintain, and update the public Network Process lawful requests from law enforcement agencies and government agencies Prevent and address security incidents and data security features, support features, and to provide technical assistance as it may be required Aggregate data to provide product optimization This means that you cannot revoke permission for Stack Overflow to publish, distribute, store and use such content and to allow others to have derivative rights to publish, distribute, store and use such content. The CC BY-SA 4.0 license terms are explained in further detail by Creative Commons, and the license terms applicable to content are explained in further detail here. You should be aware that all Public Content you contribute is available for public copy and redistribution, and all such Public Content must have appropriate attribution. As stated above, by agreeing to these Public Network Terms you also agree to be bound by the terms and conditions of the Acceptable Use Policy incorporated herein, and hereby acknowledge and agree that any and all Public Content you provide to the public Network is governed by the Acceptable Use Policy. ### Speaker Locations - Northern America ### Sizes - 0.5414 % of total - 2.9334 % of en ### BigScience processing steps #### Filters applied to: en - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_en_no_code_stackexchange
[ "language:en", "license:cc-by-sa-4.0", "region:us" ]
2022-05-18T08:07:12+00:00
{"language": "en", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:02:06+00:00
8e59b33dc71f00518d340e9db0e1b65ac64d39ad
ROOTS Subset: roots_code_stackexchange # Stack Exchange Website - Dataset uid: `stackexchange` ### Description Launched in 2010, the Stack Exchange network comprises 173 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. ### Homepage https://stackexchange.com/ ### Licensing - open license - cc-by-sa-4.0: Creative Commons Attribution Share Alike 4.0 International Subscriber Content You agree that any and all content, including without limitation any and all text, graphics, logos, tools, photographs, images, illustrations, software or source code, audio and video, animations, and product feedback (collectively, “Content”) that you provide to the public Network (collectively, “Subscriber Content”), is perpetually and irrevocably licensed to Stack Overflow on a worldwide, royalty-free, non-exclusive basis pursuant to Creative Commons licensing terms (CC BY-SA 4.0), and you grant Stack Overflow the perpetual and irrevocable right and license to access, use, process, copy, distribute, export, display and to commercially exploit such Subscriber Content, even if such Subscriber Content has been contributed and subsequently removed by you as reasonably necessary to, for example (without limitation): Provide, maintain, and update the public Network Process lawful requests from law enforcement agencies and government agencies Prevent and address security incidents and data security features, support features, and to provide technical assistance as it may be required Aggregate data to provide product optimization This means that you cannot revoke permission for Stack Overflow to publish, distribute, store and use such content and to allow others to have derivative rights to publish, distribute, store and use such content. The CC BY-SA 4.0 license terms are explained in further detail by Creative Commons, and the license terms applicable to content are explained in further detail here. You should be aware that all Public Content you contribute is available for public copy and redistribution, and all such Public Content must have appropriate attribution. As stated above, by agreeing to these Public Network Terms you also agree to be bound by the terms and conditions of the Acceptable Use Policy incorporated herein, and hereby acknowledge and agree that any and all Public Content you provide to the public Network is governed by the Acceptable Use Policy. ### Speaker Locations - Northern America ### Sizes - 2.2714 % of total - 14.7409 % of code ### BigScience processing steps #### Filters applied to: code - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_code_stackexchange
[ "license:cc-by-sa-4.0", "region:us" ]
2022-05-18T08:07:23+00:00
{"license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-08-25T14:59:17+00:00
95045f21bfd949f6cf5f37ffd905d009555941f8
ROOTS Subset: roots_ar_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_ar_wikibooks
[ "language:ar", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:07:28+00:00
{"language": "ar", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:02:12+00:00
40be87e6c1944e6244cae8d62b630a16c8904563
ROOTS Subset: roots_ar_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300
bigscience-data/roots_ar_ted_talks_iwslt
[ "language:ar", "license:cc-by-nc-nd-4.0", "region:us" ]
2022-05-18T08:07:28+00:00
{"language": "ar", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:02:17+00:00
2b5070e1392a21d55cda118c82e8ca02cd83e4d2
ROOTS Subset: roots_ar_tashkeela # Tashkeela - Dataset uid: `tashkeela` ### Description The dataset collected from 97 books in both modern and classic arabic. The dataset contains Arabic diacritics. The dataset is ### Homepage https://sourceforge.net/projects/tashkeela/ ### Licensing - gpl-2.0: GNU General Public License v2.0 only ### Speaker Locations ### Sizes - 0.2533 % of total - 2.3340 % of ar ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300
bigscience-data/roots_ar_tashkeela
[ "language:ar", "license:gpl-2.0", "region:us" ]
2022-05-18T08:07:28+00:00
{"language": "ar", "license": "gpl-2.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:02:22+00:00
66bbd7b296328a9c42f0efeed377c2446105281e
ROOTS Subset: roots_ar_sanad # sanad - Dataset uid: `sanad` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.1312 % of total - 1.2094 % of ar ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_html_spans_sanad - filter_small_docs_bytes_300
bigscience-data/roots_ar_sanad
[ "language:ar", "license:cc-by-4.0", "region:us" ]
2022-05-18T08:07:30+00:00
{"language": "ar", "license": "cc-by-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:02:27+00:00
8f54ec599504a06ea592746a7f3526be52586e47
ROOTS Subset: roots_ar_openiti_proc # OpenITI - Dataset uid: `openiti_proc` ### Description A corpus of Arabic texts that collected from Islamic books from different websites. ### Homepage https://zenodo.org/record/4075046 ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and conditions. ### Speaker Locations - Southern Asia - Western Europe - Northern America - Pakistan - Austria - Germany - United States of America ### Sizes - 3.0760 % of total - 28.3450 % of ar ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_html_spans - filter_small_docs_bytes_300
bigscience-data/roots_ar_openiti_proc
[ "language:ar", "license:cc-by-4.0", "region:us" ]
2022-05-18T08:07:32+00:00
{"language": "ar", "license": "cc-by-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:02:32+00:00
d2a62717494a2fda06ae18835374d8b664958257
ROOTS Subset: roots_en_the_pile_europarl # the_pile_europarl - Dataset uid: `the_pile_europarl` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.1278 % of total - 0.4112 % of fr - 1.5555 % of pt - 0.7511 % of es - 0.1503 % of en ### BigScience processing steps #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_en_the_pile_europarl
[ "language:en", "license:mit", "region:us" ]
2022-05-18T08:08:20+00:00
{"language": "en", "license": "mit", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:02:37+00:00
e71d6de7a5487448fb5a9a3e094c9e010a5e256c
ROOTS Subset: roots_en_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300
bigscience-data/roots_en_ted_talks_iwslt
[ "language:en", "license:cc-by-nc-nd-4.0", "region:us" ]
2022-05-18T08:08:20+00:00
{"language": "en", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:02:42+00:00
83ad89118f9604cd137526a7525b96d46b6b2a97
ROOTS Subset: roots_en_royal_society_corpus # Royal Society Corpus - Dataset uid: `royal_society_corpus` ### Description The Royal Society Corpus (RSC) 6.0 Open is based on the first centuries of the Philosophical Transactions of the Royal Society of London from its beginning in 1665 to 1920. It includes all publications of the journal written in English and containing running text. The Philosophical Transactions was the first periodical of scientific writing in England. Founded in 1665 by Henry Oldenburg, the first secretary of the Royal Society, it initially contained excerpts of letters of his scientific correspondence, reviews and summaries of recently-published books, and accounts of observations and experiments. ### Homepage https://fedora.clarin-d.uni-saarland.de/rsc_v6/index.html ### Licensing - public domain - cc0-1.0: Creative Commons Zero v1.0 Universal ### Speaker Locations - Northern Europe - United Kingdom ### Sizes - 0.0334 % of total - 0.1808 % of en ### BigScience processing steps #### Filters applied to: en - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_en_royal_society_corpus
[ "language:en", "license:cc-by-nc-sa-4.0", "region:us" ]
2022-05-18T08:08:21+00:00
{"language": "en", "license": "cc-by-nc-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:02:48+00:00
383bc128a3331261e0a309f674a7436bc9d8a6c3
ROOTS Subset: roots_en_wikinews # wikinews_filtered - Dataset uid: `wikinews_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0307 % of total - 0.0701 % of ar - 0.3036 % of pt - 0.0271 % of en - 0.0405 % of fr - 0.2119 % of indic-ta - 0.0081 % of zh - 0.0510 % of es - 0.0725 % of ca ### BigScience processing steps #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024
bigscience-data/roots_en_wikinews
[ "language:en", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:08:30+00:00
{"language": "en", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:02:53+00:00
d25e147a266cc3ca5f9679ba6594b0d0afa7ab19
ROOTS Subset: roots_en_wikiversity # wikiversity_filtered - Dataset uid: `wikiversity_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0367 % of total - 0.1050 % of en - 0.1178 % of fr - 0.1231 % of pt - 0.0072 % of zh - 0.0393 % of es - 0.0076 % of ar - 0.0069 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_en_wikiversity
[ "language:en", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:08:31+00:00
{"language": "en", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:02:58+00:00
0dd9c33fe221dac26e5dc38a608a5c887574cb63
ROOTS Subset: roots_en_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_en_wikibooks
[ "language:en", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:08:31+00:00
{"language": "en", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:03:03+00:00
05a9c522cb82dc1ead849cea00b2b36edd740b3e
ROOTS Subset: roots_en_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space
bigscience-data/roots_en_wikiquote
[ "language:en", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:08:34+00:00
{"language": "en", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:03:08+00:00
3d0974ec64c109215c7d7b140047fc6e6fc60a9a
ROOTS Subset: roots_en_wikivoyage # wikivoyage_filtered - Dataset uid: `wikivoyage_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0334 % of total - 0.1097 % of en - 0.0432 % of fr - 0.0863 % of es - 0.0084 % of zh - 0.0892 % of vi - 0.0464 % of indic-bn - 0.0443 % of pt - 0.0130 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_en_wikivoyage
[ "language:en", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:08:46+00:00
{"language": "en", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:03:13+00:00
c7eb2ced4c9018caf548d94d0f9056d227aeb296
ROOTS Subset: roots_en_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs
bigscience-data/roots_en_wikipedia
[ "language:en", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:08:47+00:00
{"language": "en", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:03:18+00:00
51932ba6b28245e1cb4f51c6391d2f863cb2c785
bigscience-data/roots_en_wiktionary
[ "language:en", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:08:47+00:00
{"language": "en", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:03:23+00:00
3e80bd3c7528dbcea0b6afc67a95d42176f0e7b1
ROOTS Subset: roots_en_the_pile_uspto # the_pile_uspto - Dataset uid: `the_pile_uspto` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.5358 % of total - 2.9032 % of en ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_en_the_pile_uspto
[ "language:en", "license:mit", "region:us" ]
2022-05-18T08:09:05+00:00
{"language": "en", "license": "mit", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:03:28+00:00
675ce3d6f8a7da97eacfa7c6d37af59795056658
ROOTS Subset: roots_es_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300
bigscience-data/roots_es_ted_talks_iwslt
[ "language:es", "license:cc-by-nc-nd-4.0", "region:us" ]
2022-05-18T08:12:47+00:00
{"language": "es", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:03:33+00:00
b9e7d6f84e5e4f36bcd3338fe2ca86394024309f
ROOTS Subset: roots_es_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_es_wikibooks
[ "language:es", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:12:48+00:00
{"language": "es", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:03:39+00:00
17a8df2e657be70d7e20a00d58b191e1991676fa
ROOTS Subset: roots_es_the_pile_europarl # the_pile_europarl - Dataset uid: `the_pile_europarl` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.1278 % of total - 0.4112 % of fr - 1.5555 % of pt - 0.7511 % of es - 0.1503 % of en ### BigScience processing steps #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_es_the_pile_europarl
[ "language:es", "license:mit", "region:us" ]
2022-05-18T08:12:49+00:00
{"language": "es", "license": "mit", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:03:44+00:00
fbfaf7a4cd28f9a44bc17608b8499749e26d6a67
ROOTS Subset: roots_es_wikinews # wikinews_filtered - Dataset uid: `wikinews_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0307 % of total - 0.0701 % of ar - 0.3036 % of pt - 0.0271 % of en - 0.0405 % of fr - 0.2119 % of indic-ta - 0.0081 % of zh - 0.0510 % of es - 0.0725 % of ca ### BigScience processing steps #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024
bigscience-data/roots_es_wikinews
[ "language:es", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:12:49+00:00
{"language": "es", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:03:49+00:00
7f97555408b362bd56ffd16474c827a43ebf2ef3
ROOTS Subset: roots_es_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs
bigscience-data/roots_es_wikipedia
[ "language:es", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:12:52+00:00
{"language": "es", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:03:54+00:00
3087a39349784997264083934194a792f6fa59f4
ROOTS Subset: roots_es_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space
bigscience-data/roots_es_wikiquote
[ "language:es", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:12:59+00:00
{"language": "es", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:03:59+00:00
de365091e8a086c66f3038caf00dd803f6a5f79a
ROOTS Subset: roots_es_wikiversity # wikiversity_filtered - Dataset uid: `wikiversity_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0367 % of total - 0.1050 % of en - 0.1178 % of fr - 0.1231 % of pt - 0.0072 % of zh - 0.0393 % of es - 0.0076 % of ar - 0.0069 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_es_wikiversity
[ "language:es", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:12:59+00:00
{"language": "es", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:04:04+00:00
b2f49c75570c20f840777ec2e8647bf49a5c1965
bigscience-data/roots_es_wiktionary
[ "language:es", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:12:59+00:00
{"language": "es", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:04:09+00:00
1b0ba938a972da564d9b2e92f04ad4e11aab3e2e
ROOTS Subset: roots_es_wikivoyage # wikivoyage_filtered - Dataset uid: `wikivoyage_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0334 % of total - 0.1097 % of en - 0.0432 % of fr - 0.0863 % of es - 0.0084 % of zh - 0.0892 % of vi - 0.0464 % of indic-bn - 0.0443 % of pt - 0.0130 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_es_wikivoyage
[ "language:es", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:00+00:00
{"language": "es", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:04:15+00:00
8aa634d55f6003a12c52bb98ce39b89959bf5d8c
ROOTS Subset: roots_es_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs
bigscience-data/roots_es_wikisource
[ "language:es", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:01+00:00
{"language": "es", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:04:20+00:00
07303d12b61cdfe5d9350914d03be79fd4020cb3
ROOTS Subset: roots_eu_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300
bigscience-data/roots_eu_ted_talks_iwslt
[ "language:eu", "license:cc-by-nc-nd-4.0", "region:us" ]
2022-05-18T08:13:10+00:00
{"language": "eu", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:04:25+00:00
42cdf68e7548799c963d812d95e78a8d096446ea
ROOTS Subset: roots_eu_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_eu_wikibooks
[ "language:eu", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:10+00:00
{"language": "eu", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:04:30+00:00
2163217ae907e1327e2268bf8552970a78fdf3f2
ROOTS Subset: roots_eu_bsbasque # bsbasque - Dataset uid: `bsbasque` ### Description BSBasque dataset. The text is extracted from the following domains: https://www.berria.eus https://eu.wikipedia.org https://goiena.eus https://www.argia.eus https://goierri.hitza.eus ### Homepage ### Licensing CC BY-SA 4.0 ### Speaker Locations ### Sizes - 0.0877 % of total - 53.9848 % of eu ### BigScience processing steps #### Filters applied to: eu - dedup_document - dedup_template_soft - filter_remove_empty_docs
bigscience-data/roots_eu_bsbasque
[ "language:eu", "license:cc-by-sa-4.0", "region:us" ]
2022-05-18T08:13:11+00:00
{"language": "eu", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:04:35+00:00
859796fe88061ea7f56f6cdfd22c7328c743cddb
ROOTS Subset: roots_eu_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs
bigscience-data/roots_eu_wikisource
[ "language:eu", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:23+00:00
{"language": "eu", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:04:41+00:00
58043d4f607c0759c95c203e3e1c908cd186d661
ROOTS Subset: roots_fr_book_dash_books # Book Dash Books - Dataset uid: `book_dash_books` ### Description Book Dash believes that every child should own one hundred books by the age of five. To that end, we gather creative professionals who volunteer to create new, African storybooks that anyone can freely translate, print and distribute. In this way, we have vastly reduced the costs involved in putting high-quality books in children’s hands and hearts. ### Homepage https://bookdash.org/books/ ### Licensing Creative Commons Attribution 4.0 ### Speaker Locations - Africa - South Africa ### Sizes - 0.0000 % of total - 0.0000 % of en - 0.0000 % of fr ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_fr_book_dash_books
[ "language:fr", "license:cc-by-4.0", "region:us" ]
2022-05-18T08:13:23+00:00
{"language": "fr", "license": "cc-by-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T10:35:08+00:00
3f8e85db310c69741372de96bee66a079bf38453
ROOTS Subset: roots_eu_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space
bigscience-data/roots_eu_wikiquote
[ "language:eu", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:23+00:00
{"language": "eu", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:04:47+00:00
35cacba7d3a0d7f74dd57beef8d31f9b35e320e9
bigscience-data/roots_eu_wiktionary
[ "language:eu", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:24+00:00
{"language": "eu", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:04:52+00:00
8c37012ff62bf089bb29fdac8e496d500e5f2238
ROOTS Subset: roots_eu_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs
bigscience-data/roots_eu_wikipedia
[ "language:eu", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:25+00:00
{"language": "eu", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T11:04:58+00:00
a9ec2d844a44fc98d2059da3835515217fb249f6
ROOTS Subset: roots_fr_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300
bigscience-data/roots_fr_ted_talks_iwslt
[ "language:fr", "license:cc-by-nc-nd-4.0", "region:us" ]
2022-05-18T08:13:39+00:00
{"language": "fr", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T10:36:27+00:00
94a228b30e570c216e7b2c9fd0e5e6cbea7faa01
ROOTS Subset: roots_fr_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_fr_wikibooks
[ "language:fr", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:39+00:00
{"language": "fr", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T10:38:29+00:00
a4109250ae774025d19e96bfaf91b7f82167392c
ROOTS Subset: roots_fr_wikinews # wikinews_filtered - Dataset uid: `wikinews_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0307 % of total - 0.0701 % of ar - 0.3036 % of pt - 0.0271 % of en - 0.0405 % of fr - 0.2119 % of indic-ta - 0.0081 % of zh - 0.0510 % of es - 0.0725 % of ca ### BigScience processing steps #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024
bigscience-data/roots_fr_wikinews
[ "language:fr", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:39+00:00
{"language": "fr", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T10:38:35+00:00
2620fbbb6033ab40274cce104ee5732fcce6aa16
ROOTS Subset: roots_fr_the_pile_europarl # the_pile_europarl - Dataset uid: `the_pile_europarl` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.1278 % of total - 0.4112 % of fr - 1.5555 % of pt - 0.7511 % of es - 0.1503 % of en ### BigScience processing steps #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024
bigscience-data/roots_fr_the_pile_europarl
[ "language:fr", "license:mit", "region:us" ]
2022-05-18T08:13:40+00:00
{"language": "fr", "license": "mit", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T10:38:40+00:00
58f0136849dcc3bc3ae3ebdb0aab0c33ac06e7d0
ROOTS Subset: roots_fr_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space
bigscience-data/roots_fr_wikiquote
[ "language:fr", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:48+00:00
{"language": "fr", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T10:38:45+00:00
23307f32f6d5c09a28b20ec23b0f37a3865e3f35
bigscience-data/roots_fr_wiktionary
[ "language:fr", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:49+00:00
{"language": "fr", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T10:38:51+00:00
4e37b96a28178bb6e70da42afc04a71563b15a4b
ROOTS Subset: roots_fr_wikiversity # wikiversity_filtered - Dataset uid: `wikiversity_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0367 % of total - 0.1050 % of en - 0.1178 % of fr - 0.1231 % of pt - 0.0072 % of zh - 0.0393 % of es - 0.0076 % of ar - 0.0069 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_fr_wikiversity
[ "language:fr", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:49+00:00
{"language": "fr", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T10:38:57+00:00
e19bb8a2be30bafde39b3f02dba0320cde0ce0e8
ROOTS Subset: roots_fr_wikivoyage # wikivoyage_filtered - Dataset uid: `wikivoyage_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0334 % of total - 0.1097 % of en - 0.0432 % of fr - 0.0863 % of es - 0.0084 % of zh - 0.0892 % of vi - 0.0464 % of indic-bn - 0.0443 % of pt - 0.0130 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
bigscience-data/roots_fr_wikivoyage
[ "language:fr", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:49+00:00
{"language": "fr", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T10:39:03+00:00
fd0af8f43bc547d64c66013149db236e072625f6
ROOTS Subset: roots_fr_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs
bigscience-data/roots_fr_wikipedia
[ "language:fr", "license:cc-by-sa-3.0", "region:us" ]
2022-05-18T08:13:52+00:00
{"language": "fr", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
2022-12-12T10:39:08+00:00