HomER: Egocentric Videos of Household Tasks for Robotics

HomER is an open dataset of short egocentric videos depicting household tasks across multiple categories. The dataset, created by toloka, includes video recordings and descriptions. It was last updated on March 10, 2026.

Use Cases

• Training robotic action recognition models based on egocentric video sequences.
• Developing models for task planning and segmentation based on described household scenarios.
• Benchmarking robotic manipulation algorithms based on categories like object manipulation, cooking, and folding.

Strengths

• Covers multiple specific task categories such as cooking, cleaning, and object manipulation.
• Includes both video data and textual descriptions, suggesting a multimodal structure.
• Last update recorded as March 10, 2026, indicating recent maintenance.

Limitations

• Row count, file formats, and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• License information is unknown, which could restrict usage.

Provenance

Source

toloka on Hugging Face

Collection Method

Likely contains egocentric video recordings of performed household tasks.

Time Range

null

Freshness

Last updated 2026-03-10 20:00:19.

Geography

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