2 datasets found
  1. h

    sample

    • huggingface.co
    Updated Nov 21, 2023
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    suifengmangbu (2023). sample [Dataset]. https://huggingface.co/datasets/suifengmangbu/sample
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 21, 2023
    Authors
    suifengmangbu
    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 No Robots 🙅‍♂️🤖

    Look Ma, an instruction dataset that wasn't generated by GPTs!

      Dataset Summary

    No Robots is a high-quality dataset of 10,000 instructions and demonstrations created by skilled human annotators. This data can be used for supervised fine-tuning (SFT) to make language models follow instructions better. No Robots was modelled after the instruction dataset described in OpenAI's InstructGPT paper, and is comprised mostly of single-turn… See the full description on the dataset page: https://huggingface.co/datasets/suifengmangbu/sample.

  2. no_robots

    • huggingface.co
    Updated Nov 11, 2023
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    Hugging Face H4 (2023). no_robots [Dataset]. https://huggingface.co/datasets/HuggingFaceH4/no_robots
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 11, 2023
    Dataset provided by
    Hugging Facehttps://huggingface.co/
    Authors
    Hugging Face H4
    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 No Robots 🙅‍♂️🤖

    Look Ma, an instruction dataset that wasn't generated by GPTs!

      Dataset Summary

    No Robots is a high-quality dataset of 10,000 instructions and demonstrations created by skilled human annotators. This data can be used for supervised fine-tuning (SFT) to make language models follow instructions better. No Robots was modelled after the instruction dataset described in OpenAI's InstructGPT paper, and is comprised mostly of single-turn… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceH4/no_robots.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
suifengmangbu (2023). sample [Dataset]. https://huggingface.co/datasets/suifengmangbu/sample

sample

No Robots

suifengmangbu/sample

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Nov 21, 2023
Authors
suifengmangbu
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 No Robots 🙅‍♂️🤖

Look Ma, an instruction dataset that wasn't generated by GPTs!

  Dataset Summary

No Robots is a high-quality dataset of 10,000 instructions and demonstrations created by skilled human annotators. This data can be used for supervised fine-tuning (SFT) to make language models follow instructions better. No Robots was modelled after the instruction dataset described in OpenAI's InstructGPT paper, and is comprised mostly of single-turn… See the full description on the dataset page: https://huggingface.co/datasets/suifengmangbu/sample.

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