datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ReasonAVEdit-Bench-Landscape
ReasonAVEdit-Bench — Landscape Edition
2,313 samples, every one of them landscape, for instruction-guided joint audio-video
editing. Two halves:
Half
N
What it is
Newly sampled
1,200
15 reasoning sub-tracks, selected from measured evidence
Legacy tracks
1,113
Every landscape sample from the hand-curated AniAVEditBench tracks
The benchmark measures not just the final edit but the multimodal reasoning behind it:
which region to change, which sound source to… See the full description on the dataset page: https://huggingface.co/datasets/bigfacing/ReasonAVEdit-Bench-Landscape.ai-bias-research-landscape
Dataset Card: AI Bias Research Landscape
Dataset Summary
This dataset contains 692 curated bibliographic records of peer-reviewed and
preprint publications on artificial intelligence (AI) and algorithmic bias,
published between 2012 and 2026. Each record includes publication metadata
(paper title, DOI, authors, author regions, affiliations, publication year,
and research domain), author ORCID identifiers, and OpenAlex-derived
metadata, including OpenAlex IDs… See the full description on the dataset page: https://huggingface.co/datasets/cair-nepal/ai-bias-research-landscape.premium-agent-repo-landscape
Premium Agent Repo Landscape
Premium Agent Repo Landscape is a compact catalog of public agent-style repositories, focused on interface patterns, workflow shapes, and verification surfaces.
The dataset is meant for:
mapping agent product patterns
comparing interface and backend stacks
identifying workflow categories across public repos
supporting portfolio analysis and trend exploration
Files
data/agent_repo_landscape.csv — curated repo catalog with category, user… See the full description on the dataset page: https://huggingface.co/datasets/mukunda1729/premium-agent-repo-landscape.clinical-temporal-5node-pressure-buf-lag-cpl-competitive-landscape-v0.1
What this repo does
This dataset tests whether a model can detect manufacturing drift forming over time and predict whether the program crosses into supply disruption lock-in by the final step.
Core quad
pressurebufferlagcoupling
Prediction target
label_cascade_state
Row structure
One row represents a short temporal window (t0–t3) across program months. It includes time-series values for pressure (deviations and schedule stress), buffer capacity… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-temporal-5node-pressure-buf-lag-cpl-competitive-landscape-v0.1.biosecurity_landscape