datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Apertus-v1.5-Preference-Data
Apertus 1.5 Preference Dataset
This is the preference dataset used for the offline DPO stage of Apertus v1.5 alignment training, applied to the 70B model.
The prompts come from Ai2's Olmo 3 Dolci-Instruct-DPO dataset. We only reuse the prompts from Dolci-Instruct-DPO; all chosen / rejected responses in this dataset were generated by us.
How this dataset was built
Prompts. Taken from Dolci-Instruct-DPO (ODC-BY).
Response generation and annotation. Every prompt was… See the full description on the dataset page: https://huggingface.co/datasets/swiss-ai/Apertus-v1.5-Preference-Data.PRO-STEP-Preference-Data
PRO-STEP: DPO Preference Pairs
Step-level preference pairs used to train the PRO-STEP policy model via Direct Preference Optimization.
Paper: PRO-STEP: Step-level Process Reward Optimization for Retrieval-Augmented GenerationCode: GitHub Repository
Pairs: 15,877 (after outcome filter)
Source questions: 5,000 from HotpotQA + MuSiQue + 2WikiMultiHopQA training splits
Generation: PRM-guided MCTS (K=3 branching, depth 7, 64 rollouts/question, V(s) = Q̄(s) + α · r̂(s) with α=0.3)… See the full description on the dataset page: https://huggingface.co/datasets/MinKeonKim/PRO-STEP-Preference-Data.MNLP_M1_Preference_dpo_dataset
M1 Preference Data for DPO
Dataset Description
This dataset contains processed M1 preference data for DPO training.
Created by: CS-552 Stochastic Parrots Team
Date: May 24, 2025
Version: 1.0
Number of examples: 17615
Dataset Source
This dataset is derived from the M1 preference data collected through interactions with large language models (like ChatGPT) for CS-552 (Modern Natural Language Processing) at EPFL. The preference data consists of… See the full description on the dataset page: https://huggingface.co/datasets/stochastic-parrots/MNLP_M1_Preference_dpo_dataset.INFH-6000Q-dpo-preference-dataset
INFH-6000Q DPO Preference Dataset
This dataset contains the final preference pairs used for the Direct Preference Optimization assignment in this repository.
Source
Base instruction source: GAIR/lima
Candidate generator: local Qwen/Qwen2.5-7B-Instruct
Preference ranker: local llm-blender/PairRM
Construction Pipeline
Sample 50 instructions from the local LIMA training split with seed 42.
Generate 5 candidate responses per instruction with Qwen2.5-7B-Instruct.… See the full description on the dataset page: https://huggingface.co/datasets/ITBill/INFH-6000Q-dpo-preference-dataset.