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Co-authored-by: Ming Xu (徐明) <[email protected]>

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  1. .gitattributes +55 -0
  2. README.md +64 -0
  3. alpaca_gpt4_data_zh.json +3 -0
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+ # Audio files - uncompressed
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README.md ADDED
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+ ---
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+ dataset_info:
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+ features:
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+ - name: instruction
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+ dtype: string
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+ - name: input
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+ dtype: string
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+ - name: output
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 32150579
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+ num_examples: 48818
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+ download_size: 35100559
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+ dataset_size: 32150579
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+ license: cc-by-4.0
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+ language:
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+ - zh
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+ pretty_name: Instruction Tuning with GPT-4
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+ size_categories:
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+ - 10K<n<100K
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - gpt
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+ - alpaca
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+ - fine-tune
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+ - instruct-tune
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+ - instruction
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+ ---
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+
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+ # Dataset Description
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+
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+ - **Project Page:** https://instruction-tuning-with-gpt-4.github.io
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+ - **Repo:** https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM
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+ - **Paper:** https://arxiv.org/abs/2304.03277
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+
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+ # Dataset Card for "alpaca-zh"
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+
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+ 本数据集是参考Alpaca方法基于GPT4得到的self-instruct数据,约5万条。
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+
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+ Dataset from https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM
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+
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+ It is the chinese dataset from https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM/blob/main/data/alpaca_gpt4_data_zh.json
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+ # Usage and License Notices
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+
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+ The data is intended and licensed for research use only. The dataset is CC BY NC 4.0 (allowing only non-commercial use) and models trained using the dataset should not be used outside of research purposes.
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+
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+ train model with alpaca-zh dataset: https://github.com/shibing624/textgen
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+
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+ # English Dataset
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+
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+ [Found here](https://huggingface.co/datasets/c-s-ale/alpaca-gpt4-data)
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+
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+ # Citation
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+
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+ ```
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+ @article{peng2023gpt4llm,
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+ title={Instruction Tuning with GPT-4},
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+ author={Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao},
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+ journal={arXiv preprint arXiv:2304.03277},
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+ year={2023}
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+ }
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+ ```
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