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Description
2,000+ hours of multimodal human sensorimotor data are collected weekly, making this the largest dataset of its kind. The dataset is produced by Human Archive, a project backed by Y Combinator and engineers from OpenAI, BAIR, SAIL, and other organizations. The dataset page was last updated on 2026-05-18.
Use Cases
Training multimodal AI models based on human sensorimotor data.
Benchmarking sensorimotor intelligence algorithms against large-scale human data.
Researching human behavior and intelligence patterns from multimodal recordings.
Strengths
Collects over 2,000 hours of multimodal data per week.
Described as the largest and first dataset of its kind.
Backed by a consortium of notable AI organizations and investors.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Column-level documentation is absent; field semantics must be inferred after download.
Row count, file formats, and license are unknown, which may limit suitability assessment.
Provenance
Source
Human Archive
Collection Method
Modeling human sensorimotor intelligence at scale.
Freshness
Last updated 2026-05-18 21:06:21; freshness should be verified.
The full dataset must be purchased; a link to schedule a purchase is provided.