datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
WaterDrum-TOFU
WaterDrum: Watermarking for Data-centric Unlearning Metric
WaterDrum provides an unlearning benchmark for the evaluation of the effectiveness and practicality of unlearning. This repository contains the TOFU corpus of WaterDrum (WaterDrum-TOFU), which contains both unwatermarked and watermarked question-answering datasets based on the original TOFU dataset.
The data samples were watermarked with Waterfall.
Update Notice: 15/01/2026
We have updated Glow-AI/WaterDrum-TOFU to version… See the full description on the dataset page: https://huggingface.co/datasets/Glow-AI/WaterDrum-TOFU.NuminaMath-CoT-100k
Citation
@misc{numina_math_datasets,
author = {Jia LI and Edward Beeching and Lewis Tunstall and Ben Lipkin and Roman Soletskyi and Shengyi Costa Huang and Kashif Rasul and Longhui Yu and Albert Jiang and Ziju Shen and Zihan Qin and Bin Dong and Li Zhou and Yann Fleureau and Guillaume Lample and Stanislas Polu},
title = {NuminaMath},
year = {2024},
publisher = {Numina},
journal = {Hugging Face repository},
howpublished =… See the full description on the dataset page: https://huggingface.co/datasets/TOFU-SFT/NuminaMath-CoT-100k.camel_LongCoT
Additional Information
This dataset contains mathematical problem-solving traces generated using the CAMEL framework. Each entry includes:
A mathematical problem statement
A detailed step-by-step solution
An improvement history showing how the solution was iteratively refined