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license: apache-2.0

Anh multilingual chat dataset

This is about 24M multilingual synthetic instructions intended to perform continued pretraining and finetuning a chatbot.

  • cross_lingual.jsonl (~800000) This dataset contains both the multi-lingual and cross-lingual version of the Anh data in the form of Human: instruction\nAssistant: response described here: https://github.com/LAION-AI/Anh/tree/main/data . The data is translated from a portion of the OIG dataset, which includes synthic_qa, prosocial and anthropic data. Read more about the data in LAION's OIG hf repo. Covers these langs: zh, vi, ru, ms, pt, ja, id, hi, fr, es, de.

  • xp3_sample.jsonl (~650000) This dataset also contains a portion of the xp3 dataset converted into the standard Human/Assistant format. See https://huggingface.co/datasets/bigscience/xP3 for the 43 languages covered by xp3.

  • sungai_ul2_instructions.jsonl (~23000000) This dataset also contains a UL2 like instruction set based on 140 languages from a subset of cc100, OSCAR and mc4. You can find the individual datasets from which this UL2 version was created here: https://github.com/ontocord/sungai

Disclaimer

  • Translations may be inaccurate. The web text found in the UL2 file may contain inappropriate content as it is based on web scrapped data.
  • Translations were generated by M2M 12B and the output generations were limited at 512 tokens due to VRAM limit (40G).

License

The Anh dataset that is authored by LAION volunteers is released under an Apache 2.0 license. However, the data also includes content licensed under other permissive licenses, or web-crawled data which is used under fair use principles.

Acknowledgement

  • Thanks to LAION's Anh multilingual chat team: @yp_yurilee, @cahya, @kevin ko, @lasse, @mattdf, @theblackcat102, @yongzx, @acul3, @logus2, @paulovn, and many others.
  • Thanks to @rallio67 for the original English version of the cross_lingual dataset.
  • Thanks to @theblackcat102 for his translations at https://huggingface.co/datasets/theblackcat102/instruction_translations, from which the cross-lingual data is based.
  • Thanks to the authors of all the underlying datasets from which Anh is based, including the xp3 authors, OSCAR, cc100 and mc4 authors.