datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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 tolerance
Some… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/uncgpt-conversations-semantic-approved-1p50-candidate.SemanticSeg
Dataset Card for SemanticSeg
This semantic segmentation dataset introduced in the paper Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation.
This dataset is used to train the segmenter.
Dataset Details
Dataset Description
SemanticSeg contains around 16 segmentation categories, with each category containing at least 2k instances. The varying cut rates across categories can also help the segmenter learn… See the full description on the dataset page: https://huggingface.co/datasets/Syon-Li/SemanticSeg.uncgpt-conversations-semantic-approved-1p25
UncGPT — Semantic-Approved 1.25σ Conversations
Conversations from the UncGPT v7 cohort that passed the tight (1.25σ) semantic gate against the contrast boundary. Useful for tight cohort training and as an ablation against the wider 1.50σ candidate cohort.
Part of the UncGPT NeurIPS 2026 Competition collection.
Configs
Config
What it is
approved_manifest (default)
rows for conversations that passed the 1.25σ semantic gate
rejected_manifest
rows for… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/uncgpt-conversations-semantic-approved-1p25.