1 dataset found
  1. h

    alpaca

    • huggingface.co
    • opendatalab.com
    Updated Mar 14, 2023
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    Tatsu Lab (2023). alpaca [Dataset]. https://huggingface.co/datasets/tatsu-lab/alpaca
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 14, 2023
    Dataset authored and provided by
    Tatsu Lab
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Dataset Card for Alpaca

      Dataset Summary
    

    Alpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAI's text-davinci-003 engine. This instruction data can be used to conduct instruction-tuning for language models and make the language model follow instruction better. The authors built on the data generation pipeline from Self-Instruct framework and made the following modifications:

    The text-davinci-003 engine to generate the instruction data instead… See the full description on the dataset page: https://huggingface.co/datasets/tatsu-lab/alpaca.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Tatsu Lab (2023). alpaca [Dataset]. https://huggingface.co/datasets/tatsu-lab/alpaca

alpaca

Alpaca

tatsu-lab/alpaca

Explore at:
52 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Mar 14, 2023
Dataset authored and provided by
Tatsu Lab
License

Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically

Description

Dataset Card for Alpaca

  Dataset Summary

Alpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAI's text-davinci-003 engine. This instruction data can be used to conduct instruction-tuning for language models and make the language model follow instruction better. The authors built on the data generation pipeline from Self-Instruct framework and made the following modifications:

The text-davinci-003 engine to generate the instruction data instead… See the full description on the dataset page: https://huggingface.co/datasets/tatsu-lab/alpaca.

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