datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Meter_Readinggoverned-skill-evolution
Governed Skill Evolution from Persistent Agent Experience
Prospective ablation and cross-model transfer study of three experience-retention conditions for governed Agent Skill evolution: no persistent history, flat chronological history, and a persistent Pattern Registry with a forward-chained Skill Impact Ledger.
Author: Song Luo
Version: 1.0.0
Source snapshot: d717c32396cfff1bef2800296541a70e9b4cabb8
Canonical repository: rrrrrredy/governed-skill-evolution
Zenodo:… See the full description on the dataset page: https://huggingface.co/datasets/RedinGhost/governed-skill-evolution.coco-valwar-gov-uap-release-1
Department of War UAP Release 1 — structured corpus
The first tranche of declassified U.S. government records on Unidentified
Anomalous Phenomena (UAP / UFOs), released by the Department of War on
8 May 2026 under the Presidential Unsealing and Reporting System for
UAP Encounters (PURSUE) directive.
This dataset is a structured, machine-readable companion to the source
material at https://www.war.gov/UFO/. It pairs every original document
with VLM-extracted page text, cropped… See the full description on the dataset page: https://huggingface.co/datasets/MTSlive/war-gov-uap-release-1.MAD-Bench
MAD-Bench
A Benchmark for Evaluating Deceptive Behaviors in Multimodal Computer-Use Agents.
As MLLMs and computer-use agents increasingly take control of our desktops, safety concerns must evolve beyond text-based prompt injection. MAD-Bench is the first comprehensive benchmark designed to evaluate deceptive behaviors of multimodal agents — cases where an agent fabricates evidence, falsely reports success, ignores conflicting visual feedback, or otherwise produces dishonest outputs… See the full description on the dataset page: https://huggingface.co/datasets/goldenash/MAD-Bench.google_search_result
Google Search Results With Source Queries and Images
This dataset contains 396 newdomain samples from the local Continual-LLaVA-NeXT
workspace, enriched with entity-based Google/Serper search results.
Each row includes the original multimodal sample context:
dataset: source dataset name.
source_index: index in the original training JSON.
id: sample id used locally.
image: relative path to the copied image file in this dataset repo.
original_image: original image field from the… See the full description on the dataset page: https://huggingface.co/datasets/leo20000306/google_search_result.adaption-mmmed-autoscientist-gold
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-mmmed_autoscientist_gold
A refined, high-entropy multimodal clinical benchmark containing 431 perfectly aligned pairs of visual medical artifacts (X-rays, CT scans, ultrasounds, and histopathology profiles) and pre-concatenated case narratives with multiple-choice pathways. Optimized specifically for the AutoScientist Challenge (Healthcare Track) to train and evaluate… See the full description on the dataset page: https://huggingface.co/datasets/asadullahdogarr/adaption-mmmed-autoscientist-gold.goodgame
Dataset Card for GoodGame.ru Clips
Dataset Summary
This dataset contains information about 39,280 video clips from the Russian streaming platform goodgame.ru. The clips include metadata such as streamer information, view counts, game categories, and related media URLs.
Languages
The dataset is primarily in Russian (ru).
Dataset Structure
Data Fields
This dataset includes the following fields:
clip_id: Unique identifier… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/goodgame.goth-girl-friendsgothic-slutsaiconf-butterfly-detection-goldenset-extendedExtended goldenset for butterfly detection built from the original goldenset and a validated expansion pass.
Files:
larger_goldenset.json
larger_goldenset.tsv
Columns:
photo_id
image
entity
bbox
Generated at: 2026-04-19 23:31:19 UTC
Rows: 356
gov_publaygot-filled