datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
everyday-manipulation-3d-raw
Everyday Manipulation 3D (raw RGB-D)
1,513 clips · 10.28 hours · 279 GiB · 4 participants · 10 manipulation tasks · 42 recording sittings
Chest-mounted iPhone Pro capture of everyday two-handed manipulation by
CaryX AI. Clips were recorded with
Record3D, an iOS app that captures the
iPhone's LiDAR RGB-D stream. Each clip is the app's .r3d recording with the
audio track removed; the sensor streams are unmodified: synchronised RGB,
metric LiDAR depth, per-frame ARKit 6-DoF camera… See the full description on the dataset page: https://huggingface.co/datasets/CaryxAI/everyday-manipulation-3d-raw.ai-election-manipulation-cases
AI, Elections and Agency Transfer Evidence Index
Version 0.4.4 · released 21 August 2026 · research cutoff 12 August 2026
The dataset contains 6 documented-manipulation records, not 1,087 cases. Read the counts in this order:
1,087 relational rows -> 64 catalogue entries -> 10 core records
-> 8 incident-eligible records
-> 6 documented-manipulation records
The other two incident-eligible records are transparent contested-use… See the full description on the dataset page: https://huggingface.co/datasets/apol/ai-election-manipulation-cases.Safe-Mobile-Manipulation
Introspective Planning: Aligning Robots’ Uncertainty with Inherent Task Ambiguity
🌐 Project Page | 📄 Paper | GitHub
Overview
Safe Mobile Manipulation dataset was designed to evaluate Large Language Models' (LLMs) capability to reason effectively about both uncertainty and safety in mobile manipulation tasks. The dataset comprises 500 total scenarios: 100 scenarios in the test set, 200 scenarios for knowledge base construction, and 200 scenarios for conformal calibration.… See the full description on the dataset page: https://huggingface.co/datasets/kaiquliang/Safe-Mobile-Manipulation.personality_manipulationhumanoid-door-opening-manipulation-dataset-v1Dataset for door handle manipulation and opening control.
Description
Handle rotation, grip force, and resistance signals mapped to manipulation actions.
Task Description
Teaches humanoid robots to approach, grasp, and pull doors safely using arm and hand coordination.
humanoid-pick-place-manipulation-dataset-v1Dataset for pick and place manipulation tasks.
Description
Distance, grip force, and arm position signals mapped to grasping and placement actions.
Task Description
Helps humanoid robots pick up objects and place them accurately using coordinated arm and hand movements.
political-manipulation-co-occurence-matrix