datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mem-behave-forgetting
MemBehave: Forgetting
Can a memory-backed assistant forget one person without damaging what it knows about
everyone else?
Each row is one item: a pair of (user, target person) drawn from that user's
conversation history, a natural-language deletion request, and the questions that say
what should and should not survive it. Items are grouped into triplets -- one user
contributing one target at each entanglement level -- so that a difference between levels
cannot be blamed on one… See the full description on the dataset page: https://huggingface.co/datasets/marzinouri/mem-behave-forgetting.forge-reason-v1
FORGE-REASON v1
Dataset Description
FORGE-REASON is the first open-source dataset of red-teamed mathematical proofs
for fine-tuning LLMs on formal logical reasoning. Each entry contains a triple:
flawed_proof → directive4_critique → corrected_proof
Proofs span four mathematical domains: computational complexity theory, number theory,
cryptography (protocol security), and combinatorics.
Intended Use
Fine-tuning open-source LLMs (Llama, Mistral, Qwen) on… See the full description on the dataset page: https://huggingface.co/datasets/Blainer28/forge-reason-v1.