Chinese-dpo-pairs

# Dataset Card for Chinese-dpo-pairs Well-curated 10K reference pairs in Chinese. Data are created by GPT-3.5 translation from multiple sources, including: - flan_v2, sharegpt, ultrachat, evol_instruct and false_qa. Sampled from [argilla/ultrafeedback-binarized-preferences-cleaned](https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences-cleaned) - open_orca. From [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs) - truthy_dpo. From [jondurbin/truthy-dpo-v0.1](https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1) To ensure quality, I originally translated over 30K samples, then dropped all tranlations with unmatched line number or topic. The dataset is best used together with above English dataset.# Chinese-dpo-pairs 数据集卡片 该数据集包含10000条经过精心筛选的中文参考配对样本。所有数据均通过GPT-3.5对多源数据进行翻译生成，涵盖以下来源： - flan_v2、sharegpt、ultrachat、evol_instruct及false_qa：样本源自[argilla/ultrafeedback-binarized-preferences-cleaned](https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences-cleaned) - open_orca：源自[Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs) - truthy_dpo：源自[jondurbin/truthy-dpo-v0.1](https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1) 为保障数据质量，作者最初共翻译了超30000条样本，随后剔除了行数不匹配或主题不符的翻译结果。该数据集建议与上述英文数据集配合使用。

搜集汇总

背景与挑战

背景概述

该数据集是一个精心整理的10K中文参考对集合，通过GPT-3.5从多个英文源数据集翻译生成，并经过质量筛选以确保准确性。建议在使用时结合原始英文数据集以提升效果。