Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
Chinese
Size:
10K - 100K
ArXiv:
License:
parquet-converter
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README.md
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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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# Dataset Description
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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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# Dataset Card for "alpaca-zh"
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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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Dataset from https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM
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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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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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train model with alpaca-zh dataset: https://github.com/shibing624/textgen
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# English Dataset
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[Found here](https://huggingface.co/datasets/c-s-ale/alpaca-gpt4-data)
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# Citation
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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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alpaca_gpt4_data_zh.json → default/train/0000.parquet
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size 21297880
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