Datasets:

Hiesh
/

robomme_sequencerecoveryvertically

license: mit
task_categories:
  - video-text-to-text
  - visual-question-answering
tags:
  - robotics
  - robomme
  - manipulation
  - memory
  - video-qa
size_categories:
  - n<1K
configs:
  - config_name: episodes
    data_files: episodes.parquet

RoboMME — SequenceRecoveryVertically (Video QA)

Video-QA dataset for the SequenceRecoveryVertically task from RoboMME, a ManiSkill/SAPIEN benchmark for memory-augmented robotic manipulation. The agent watches a demonstration video, remembers the arrangement of cubes, and rebuilds it around a pre-placed anchor cube before pressing a stop button.

episodes.parquet — 500 train episodes with per-episode metadata (seeds, difficulty, task semantics, language goals, success flags, video paths).
videos/ — 1000 MP4 clips: one execution video and one _recall demonstration clip per episode.
*_mc_qa_processed.json — multiple-choice QA pairs (LLaVA conversation format).
*_oe_qa_processed.json — open-ended QA pairs.
*_cap_processed.json — caption pairs.
collection_manifest.jsonl — provenance manifest (source H5, SHA-256 hashes, frame counts).

QA/caption entries reference clips via a video field (e.g. videos/..._recall.mp4) and use the standard conversations schema with <image> tokens.

RoboMME — SequenceRecoveryVertically (Video QA)

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