RoboProcessBench / metadata /reconstruction.md
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Reconstruction

What this release contains

  • Public QA tables for eval and sft.
  • Split manifests and split counts.
  • Public release-relative references for each item.

What this release does not contain

  • Full raw videos.
  • Full extracted frame caches.
  • Local absolute paths used during internal development.
  • Separate structured task-meta fields.

How to use the public references

Each row exposes three reconstruction-oriented fields:

  • visual_ref
  • source_episode_ref
  • reconstruction_key_json

These are designed to be stable, path-free references. They are sufficient to map a released item back to the corresponding source episode or recording once you have obtained the upstream dataset under its original terms.

Source-specific units

  • GM-100: grouped by (task_id, episode_id).
  • RH20T: grouped by recording_id.
  • REASSEMBLE: grouped by recording_id.
  • AIST-Bimanual: grouped by recording_id.

Expected workflow

  1. Obtain upstream datasets under their original terms.
  2. Use source, source_task_id, source_unit_id, camera, and frame_indices_json from the public release.
  3. Reconstruct the required visual inputs with the source-specific evaluation scripts in the main codebase.

Release policy

This Hugging Face release is a reviewable minimal closed loop for metadata, QA, splits, statistics, and baseline results. Full visual reconstruction remains upstream-data dependent.