datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
UnlearnCanvas
Dataset Card for UnlearnCanvas
This dataset card introduces "UnlearnCanvas", a high-resolution stylized image dataset for benchmarking generative modeling tasks, in particular for machine unlearning in diffusion models. Developed to address the societal concerns arising from diffusion models, such as harmful content generation, copyright disputes, and the perpetuation of stereotypes and biases, UnlearnCanvas aims at facilitating the evaluation and improvement of machine unlearning… See the full description on the dataset page: https://huggingface.co/datasets/OPTML-Group/UnlearnCanvas.Unlearning-Simplex
Towards Multi-reference Unlearning
generations-llama-3_1-8b-rmu-baselinegenerations-simnpo_gemma-3-12b-pt_20260416_171305-corpus_sweep_post_evalgenerations-21-DEBUG-qwen3-8b-simnpo-gentle-igm-10b-target-100-localtrain-checkpoint-1agnews-unlearning-mia
AGNEWS - Machine Unlearning + MIA Evaluation Dataset (Length-Filtered)
This dataset is prepared for evaluating machine unlearning methods on fine-tuned LLMs using Membership Inference Attacks (MIAs).
Dataset Splits
Training Sets (for Unlearning)
retain_set (9,000 samples): Data to retain during unlearning
forget_set (1,000 samples): Data to unlearn
Evaluation Sets (for MIA) - Length-Filtered
AGNews Length Variants
32 tokens (~32±10… See the full description on the dataset page: https://huggingface.co/datasets/h0ssn/agnews-unlearning-mia.generations-18-DEBUG-llama-3_1-8b-simnpo-gentle-bm25-10b-target-100-localtrain-checkpoint-1generations-17-DEBUG-qwen3-8b-simnpo-gentle-baseline-target-100-localtrain-checkpoint-1generations-llama-3_1-8b-simnpo-gentle-bm25-6tgenerations-olmo-3-32b-pre_valgenerations-10-llama-3_1-8b-simnpo-gentle-bm25-6t-target-100-checkpoint-187generations-qwen3-8b-rmu-baselinegenerations-qwen3-8b-simnpo-gentle-bm25-6tgenerations-olmo-3-7b-pre_valgenerations-04-gemma-3-12b-simnpo-baseline-target-100-checkpoint-2838generations-qwen3-8b-simnpo-gentle-igm-10bgenerations-nemotron-nano-9b-v2-simnpo-gentle-baselinegenerations-checkpoint-134-debug-checkpoint-134-llamagenerations-llama-3_1-8b-simnpo-gentle-baselineunlearn_dataset
📖 unlearn_dataset
The unlearn_dataset serves as a benchmark for evaluating unlearning methodologies in pre-trained large language models across diverse domains, including arXiv, GitHub.
🔍 Loading the datasets
To load the dataset:
from datasets import load_dataset
dataset = load_dataset("llmunlearn/unlearn_dataset", name="arxiv", split="forget")
Available configuration names and corresponding splits:
arxiv: forget, approximate, retain
github: forget, approximate… See the full description on the dataset page: https://huggingface.co/datasets/llmunlearn/unlearn_dataset.early_unlearning_mixed_tampering_datasetgenerations-qwen3-coder-next-pre_valgenerations-14-llama-3_1-8b-rmu-baseline-target-100-checkpoint-1722cross-unlearning-case-400generations-qwen3-8b-undial-baselinegenerations-03-gemma-3-12b-simnpo-gentle-baseline-target-100-checkpoint-1419generations-16-DEBUG-llama-3_1-8b-simnpo-gentle-baseline-target-100-localtrain-checkpoint-1generations-nemotron-nano-9b-v2-simnpo-baselinegenerations-15-qwen3-8b-rmu-baseline-target-100-checkpoint-1078copyright_unlearning