wenbopan/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 open_orca. From Intel/orca_dpo_pairs truthy_dpo. From jondurbin/truthy-dpo-v0.1 To ensure quality, I originally translated over 30K samples, then dropped all tranlations with unmatched line number or… See the full description on the dataset page: https://huggingface.co/datasets/wenbopan/Chinese-dpo-pairs.
| Author / organization | wenbopan |
|---|---|
| License (as declared) | mit |
| Downloads | 176 (as reported by Hugging Face) |
| Likes | 46 |
| Created | 29 March 2024 |
| Last updated at source | 2 April 2024 |
Popularity, last 3 days
176 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- bartowski/Faro-Yi-9B-DPO-GGUFModel · used to train
- mradermacher/Faro-Yi-34B-DPO-GGUFModel · used to train
- wenbopan/Faro-Yi-9B-DPOModel · used to train
- mradermacher/flammen16-chinese-dpo-mistral-7B-GGUFModel · used to train
- QuantFactory/Faro-Yi-9B-DPO-GGUFModel · used to train
- mradermacher/Faro-Yi-34B-DPO-i1-GGUFModel · used to train
- wenbopan/Faro-Yi-34B-DPOModel · used to train
- tensorblock/Faro-Yi-9B-DPO-GGUFModel · used to train
Recent changes
- 17 Oct 2026 Description: 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/ultrafe → 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/ultrafe
Changes detected by Silytics between refreshes of the source.
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