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.Apertus-v1.5-QAT-10K
mlx-community/Apertus-v1.5-QAT-10K
This is a 2000 sample subset of the chosen pairs inside swiss-ai/Apertus_v1p5_Preference_Data for MLX-LM-LoRA and MLX-LoRA-Studio and the Quantization Aware Trained Appertus models.
sriq-sft-v1.5
sriq-sft-v1.5
Superseded by sriq-sft-v1.6. Only
0.9% of the verification steps in this version ever catch a mistake — the check runs on a trace
rewritten from reasoning that was already correct, so it has nothing to find. A model trained
here learns the shape of checking without the function. v1.6 fixes it; see
Provenance.
ShareGPT-compatible supervised fine-tuning conversations. Questions are generated in many
languages. Assistant targets contain compressed Simplified Chinese… See the full description on the dataset page: https://huggingface.co/datasets/sriq-ai/sriq-sft-v1.5.GPTKB_v1.5This hosts the GPTKB v1.5 dataset. Visit https://gptkb.org to browse GPTKB and for further information.
Papers:
GPTKB methodology: https://arxiv.org/pdf/2411.04920
GPTKB v1.5: https://arxiv.org/pdf/2507.05740
Citations:
@InProceedings{GPTKB,
title={Enabling LLM Knowledge Analysis via Extensive Materialization},
author={Hu, Yujia and Nguyen, Tuan-Phong and Ghosh, Shrestha and Razniewski, Simon},
year={2025},
booktitle={ACL},
}
@article{GPTKB15,
title={GPTKB v1.5: A Massive… See the full description on the dataset page: https://huggingface.co/datasets/Knowledge-aware-AI/GPTKB_v1.5.