misc 0 0 0

dmayhem93/ChatCombined

published by @dmayhem93

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
5.4K
Last 30 days
173
Likes
5
Size
1.2 GB
Created on HF
2023-04-13
Age
3 years ago

Description

Dataset Card for "ChatCombined"

Combined 5 AI Conversational datasets, added a <|SYSTEM|> prompt for each, and broke the conversation down with <|USER|> and <|ASSISTANT|> tags.

You will need to add these tokens to your tokenizer to fully utilize this dataset: <|SYSTEM|> <|USER|> <|ASSISTANT|>

Collated dataset links:

Alpaca GPT-4

databricks-dolly-15k

Helpful and Harmless

Vicuna - English subset only

GPT4ALL-J

Citations

@misc{alpaca,

author = {Rohan Taori and… See the full description on the dataset page: https://huggingface.co/datasets/dmayhem93/ChatCombined.

Tags

task_categories:text-generationlanguage:enlicense:cc-by-nc-4.0size_categories:1M<n<10Mformat:parquetmodality:textlibrary:datasetslibrary:dasklibrary:mlcroissantlibrary:polarsarxiv:2204.05862arxiv:2304.03277region:us

README current version from Hugging Face


dataset_info:
features:

  • name: text
    dtype: string
    splits:
  • name: train
    num_bytes: 2530432677
    num_examples: 1045936
    download_size: 1272242079
    dataset_size: 2530432677
    task_categories:
  • text-generation
  • conversational
    size_categories:
  • 1M<n<10M
    license: cc-by-nc-4.0
    language:
  • en

Dataset Card for "ChatCombined"

Combined 5 AI Conversational datasets, added a <|SYSTEM|> prompt for each, and broke the conversation down with <|USER|> and <|ASSISTANT|> tags.

You will need to add these tokens to your tokenizer to fully utilize this dataset: <|SYSTEM|> <|USER|> <|ASSISTANT|>

Collated dataset links:

Citations

@misc{alpaca,
  author = {Rohan Taori and Ishaan Gulrajani and Tianyi Zhang and Yann Dubois and Xuechen Li and Carlos Guestrin and Percy Liang and Tatsunori B. Hashimoto },
  title = {Stanford Alpaca: An Instruction-following LLaMA model},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/tatsu-lab/stanford_alpaca}},
}
@misc{bai2022training,
      title={Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback}, 
      author={Yuntao Bai and Andy Jones and Kamal Ndousse and Amanda Askell and Anna Chen and Nova DasSarma and Dawn Drain and Stanislav Fort and Deep Ganguli and Tom Henighan and Nicholas Joseph and Saurav Kadavath and Jackson Kernion and Tom Conerly and Sheer El-Showk and Nelson Elhage and Zac Hatfield-Dodds and Danny Hernandez and Tristan Hume and Scott Johnston and Shauna Kravec and Liane Lovitt and Neel Nanda and Catherine Olsson and Dario Amodei and Tom Brown and Jack Clark and Sam McCandlish and Chris Olah and Ben Mann and Jared Kaplan},
      year={2022},
      eprint={2204.05862},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
@misc{vicuna2023,
    title = {Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality},
    url = {https://vicuna.lmsys.org},
    author = {Chiang, Wei-Lin and Li, Zhuohan and Lin, Zi and Sheng, Ying and Wu, Zhanghao and Zhang, Hao and Zheng, Lianmin and Zhuang, Siyuan and Zhuang, Yonghao and Gonzalez, Joseph E. and Stoica, Ion and Xing, Eric P.},
    month = {March},
    year = {2023}
}
@misc{gpt4all,
  author = {Yuvanesh Anand and Zach Nussbaum and Brandon Duderstadt and Benjamin Schmidt and Andriy Mulyar},
  title = {GPT4All: Training an Assistant-style Chatbot with Large Scale Data Distillation from GPT-3.5-Turbo},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/nomic-ai/gpt4all}},
}
@article{peng2023gpt4llm,
    title={Instruction Tuning with GPT-4},
    author={Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao},
    journal={arXiv preprint arXiv:2304.03277},
    year={2023}
}

README history 20 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

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Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2024-09-13PRremove invalid task categoryopen1 💬#1
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Metadata

License
cc-by-nc-4.0

Repository

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("dmayhem93/ChatCombined")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="dmayhem93/ChatCombined", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/dmayhem93/ChatCombined
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