lamm-mit/magpie-ultra-v0.1-DPO
收藏Hugging Face2024-08-10 更新2025-04-08 收录
下载链接:
https://hf-mirror.com/datasets/lamm-mit/magpie-ultra-v0.1-DPO
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资源简介:
---
dataset_info:
features:
- name: model_name_response_base
dtype: string
- name: instruction
dtype: string
- name: response
dtype: string
- name: response_base
dtype: string
- name: intent
dtype: string
- name: knowledge
dtype: string
- name: difficulty
dtype: string
- name: model_name_difficulty
dtype: string
- name: explanation
dtype: string
- name: quality
dtype: string
- name: model_name_quality
dtype: string
- name: primary_tag
dtype: string
- name: other_tags
sequence: string
- name: model_name_classification
dtype: string
- name: embedding
sequence: float64
- name: model_name_embeddings
dtype: string
- name: score
dtype: float64
- name: score_base
dtype: float64
- name: distilabel_metadata
struct:
- name: raw_output_assign_tags_0
dtype: string
- name: nn_indices
sequence: int64
- name: nn_scores
sequence: float64
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
- name: guard
dtype: string
- name: model_name_guard
dtype: string
- name: safe
dtype: bool
- name: hazard_category
dtype: string
- name: score_difference
dtype: float64
- name: text
dtype: string
- name: text_tok_length
dtype: int64
- name: rejected_response
dtype: string
- name: prompt
dtype: string
- name: chosen
list:
- name: content
dtype: string
- name: role
dtype: string
- name: rejected
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train
num_bytes: 1177571394
num_examples: 50000
download_size: 694713520
dataset_size: 1177571394
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# magpie-ultra-v0.1-DPO
Version of (argilla/magpie-ultra-v0.1) with rejected responses added for easy use in DPO or ORPO.
```bibtex
@misc{buehler2024magpie,
title={Generating science-aligned LLMs},
author={Markus J. Buehler, et al.},
year={2024},
eprint={},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
@misc{xu2024magpie,
title={Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing},
author={Zhangchen Xu and Fengqing Jiang and Luyao Niu and Yuntian Deng and Radha Poovendran and Yejin Choi and Bill Yuchen Lin},
year={2024},
eprint={2406.08464},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
提供机构:
lamm-mit



