This dataset is built from the open source data accompanying ["An Open Dataset and Model for Language Identification" (Burchell et al., 2023)](https://arxiv.org/abs/2305.13820)

The repository containing the actual data can be found here : https://github.com/laurieburchell/open-lid-dataset.

The license for this recreation itself follows the original upstream dataset as GPLv3+. 

However, individual datasets within it follow [each of their own licenses.](https://github.com/laurieburchell/open-lid-dataset/blob/main/licenses.md)
The "src" column lists the sources. "lang" column lists the language code in alpha-3/ISO 639-2 format followed by the script. "text" column contains the sentence.

Conversion to huggingface dataset and upload to hub done by [Chris Ha](https://github.com/chris-ha458)

Original authors built the dataset for LID models for 201 languages. I thought such a dataset could also be used for a tokenizer for 201 languages.

This dataset was processed and uploaded using huggingface datasets.


[Link to original author](https://huggingface.co/laurievb/OpenLID)
size_categories:100M<n<1B language:en language:ko language:fr language:aa language:hi license:gpl-3.0 arxiv:2305.13820 region:us
{"language": ["en", "ko", "fr", "aa", "hi"], "license": "gpl-3.0", "size_categories": ["100M<n<1B"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "src", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22252477927, "num_examples": 121165414}], "download_size": 16613981282, "dataset_size": 22252477927}}
TAGS
#size_categories-100M<n<1B #language-English #language-Korean #language-French #language-Afar #language-Hindi #license-gpl-3.0 #arxiv-2305.13820 #region-us 

This dataset is built from the open source data accompanying "An Open Dataset and Model for Language Identification" (Burchell et al., 2023)

The repository containing the actual data can be found here : URL

The license for this recreation itself follows the original upstream dataset as GPLv3+. 

However, individual datasets within it follow each of their own licenses.
The "src" column lists the sources. "lang" column lists the language code in alpha-3/ISO 639-2 format followed by the script. "text" column contains the sentence.

Conversion to huggingface dataset and upload to hub done by Chris Ha

Original authors built the dataset for LID models for 201 languages. I thought such a dataset could also be used for a tokenizer for 201 languages.

This dataset was processed and uploaded using huggingface datasets.


Link to original author
TAGS
#size_categories-100M<n<1B #language-English #language-Korean #language-French #language-Afar #language-Hindi #license-gpl-3.0 #arxiv-2305.13820 #region-us 

passage: TAGS
#size_categories-100M<n<1B #language-English #language-Korean #language-French #language-Afar #language-Hindi #license-gpl-3.0 #arxiv-2305.13820 #region-us 
