CoolFace
Datasetpublic

Reza2kn/uncgpt-conversations-semantic-approved-1p50-candidate

UncGPT — Semantic-Approved 1.50σ Conversations (Candidate) The wider-tolerance (1.50σ) cohort against the same contrast semantic boundary. Useful as a higher-recall candidate for ablating gate strictness vs. coverage. Part of the UncGPT NeurIPS 2026 Competition collection. Configs Config What it is approved_manifest (default) conversations that passed at 1.50σ rejected_manifest conversations that failed even at 1.50σ Why a wider… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/uncgpt-conversations-semantic-approved-1p50-candidate.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes71downloads
Dataset Card

UncGPT — Semantic-Approved 1.50σ Conversations (Candidate)

The wider-tolerance (1.50σ) cohort against the same contrast semantic boundary. Useful as a higher-recall candidate for ablating gate strictness vs. coverage.

Part of the UncGPT NeurIPS 2026 Competition collection.

Configs

ConfigWhat it is
approved_manifest (default)conversations that passed at 1.50σ
rejected_manifestconversations that failed even at 1.50σ

Why a wider tolerance

Some conversations carry legitimate semantic variation (e.g., crisis intensity, cultural distance from the gold pool) that the tight 1.25σ gate rejects. The 1.50σ candidate cohort surfaces those for additional manual or downstream review without lowering the tight gate's standard.

Related cohorts

See `uncgpt-conversations-semantic-approved-1p25` and `uncgpt-conversations-semantic-approved-1p25-repaired-paperclip`.

License

CC-BY-4.0.