Dataset · Hugging Face

Glow-AI/WaterDrum-TOFU

Name: WaterDrum-TOFU
Creator: Glow-AI
License: mit
Keywords: task_categories:text-generation, task_categories:question-answering, language:en, license:mit, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2505.05064, region:us, unlearning, watermarking

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… See the full description on the dataset page: https://huggingface.co/datasets/Glow-AI/WaterDrum-TOFU.

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Author / organization	Glow-AI
License (as declared)	mit
Downloads	365 (as reported by Hugging Face)
Likes	7
Created	28 February 2025
Last updated at source	28 May 2026

unlearningwatermarkingLLMNLP

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16 Oct 2026 Description: 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-T → 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-T

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