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---
dataset_info:
features:
- name: prompt
dtype: string
- name: messages
list:
- name: role
dtype: string
- name: content
dtype: string
splits:
- name: train_douban
num_bytes: 5567696
num_examples: 3086
- name: train_human_value
num_bytes: 806635
num_examples: 1007
- name: train_logi_qa
num_bytes: 666517
num_examples: 421
- name: train_ruozhiba
num_bytes: 228494
num_examples: 240
- name: train_segmentfault
num_bytes: 1068526
num_examples: 458
- name: train_wiki
num_bytes: 27611061
num_examples: 10603
- name: train_wikihow
num_bytes: 11069103
num_examples: 1485
- name: train_xhs
num_bytes: 2551884
num_examples: 1508
- name: train_zhihu
num_bytes: 13986060
num_examples: 5631
- name: train
num_bytes: 63555976
num_examples: 24439
- name: test
num_bytes: 228494
num_examples: 240
download_size: 67916523
dataset_size: 127340446
configs:
- config_name: default
data_files:
- split: train_douban
path: data/train_douban_sft-*
- split: train_human_value
path: data/train_human_value_sft-*
- split: train_logi_qa
path: data/train_logi_qa_sft-*
- split: train_ruozhiba
path: data/train_ruozhiba_sft-*
- split: train_segmentfault
path: data/train_segmentfault_sft-*
- split: train_wiki
path: data/train_wiki_sft-*
- split: train_wikihow
path: data/train_wikihow_sft-*
- split: train_xhs
path: data/train_xhs_sft-*
- split: train_zhihu
path: data/train_zhihu_sft-*
- split: train
path: data/train_sft-*
- split: test
path: data/test_sft-*
task_categories:
- text-generation
- question-answering
language:
- zh
pretty_name: e
size_categories:
- 10K<n<100K
tags:
- sft
---
# SFT-COIG-CQIA-handbook
The rearranged dataset for direct use in [alignment-handbook](https://github.com/huggingface/alignment-handbook).
数据完全来自于[COIG-CQIA](https://huggingface.co/datasets/m-a-p/COIG-CQIA)。
暂时忽略了chinese_traditional，coig_pc，exam，finance这些转换麻烦或者语义上不适合当QA数据集的subset。
其中train是全集，test是ruozhiba，以便代码能够跑通。
```bibtex
@misc{bai2024coig,
title={COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning},
author={Bai, Yuelin and Du, Xinrun and Liang, Yiming and Jin, Yonggang and Liu, Ziqiang and Zhou, Junting and Zheng, Tianyu and Zhang, Xincheng and Ma, Nuo and Wang, Zekun and others},
year={2024},
eprint={2403.18058},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
``` |