Embodied-SI/Rb-ERI-s3-eval

Rb-ERI S3 evaluation inputs (T1)

Rb-ERI (Retraction-based Entity Re-Identification) was registered as VSMT-lean; file names, archive paths and the arm key VSMT-lean in this repository keep that name.

Evaluation inputs of the Rb-ERI S3 experiments: the validation and test splits of the ProcTHOR-10K episodes (house-level split; manifests in the code repository), each as <split>/<kind>/<episode>.tar with kind one of raw (RGB-D frames, poses and private ground truth written by the episode generator), geometry (per-episode geometry tables), instance_cache and sam2_cache (per-frame fragment masks and descriptors for the two front ends), plus each root's top-level files under <split>/<kind>/_root/. Every test entry was checked against the S3-02 test seal before upload; the test split was read once, by the frozen S3-05 run, before this release.

Download and verify

Every item is listed in MANIFEST.json with its sha256, size, restore path and (for tars) the directory tree digest. The release tools live in the code repository Embodied-SI/Rb-ERI (ops/vsmt/hf_fetch.py): it downloads the selected items at a pinned revision, checks every sha256, extracts each tar safely, recomputes the tree digest, and restores the original layout under a base directory (default /root/autodl-tmp) so the repository's scripts run unchanged:

python ops/vsmt/hf_fetch.py --repo Embodied-SI/Rb-ERI-s3-eval --repo-type dataset --revision <commit> --select validation/instance_cache/ --dest /root/autodl-tmp

Each episode directory is one deterministic, uncompressed tar (members sorted by path, mtime 0, owner 0/0, modes 644/755, GNU format), so the same directory always gives the same bytes. The tars are not WebDataset shards, which is why the automatic dataset viewer is disabled.

Upstream licences and notices

• Frames, depth, poses and ground truth were rendered with AI2-THOR 5.0.0 (Copyright 2021 Allen Institute for AI, Apache License 2.0) in houses of ProcTHOR-10K 0.1.2 (Apache License 2.0). Objects were removed, moved or added by this project's intervention scripts. Rendering engine: Unity, as shipped in the AI2-THOR 5.0.0 build.
• Fragment masks were computed with SAM 2.1 (Hiera Small) and descriptors with DINOv2 ViT-B/14, both Apache License 2.0; no model weights of these upstream projects are redistributed here.
• The CC-BY-4.0 licence of this repository covers this project's own contributions (episode design, interventions, labels, caches, records and manifests). The upstream material remains under the Apache License 2.0, whose full text is in LICENSE-APACHE-2.0 in this repository.
• Please cite ProcTHOR (Deitke et al., NeurIPS 2022, arXiv:2206.06994), AI2-THOR (Kolve et al., arXiv:1712.05474), DINOv2 (Oquab et al., arXiv:2304.07193) and SAM 2 (Ravi et al., arXiv:2408.00714) together with this project.

3RScan

No 3RScan data is redistributed in this repository or in any other tier of this release: no scans, renderings, annotations, ground truth or features computed on its frames. The 3RScan Terms of Use allow non-commercial research use and grant no right to publish or redistribute the data. The external validation on 3RScan (S3-07) is published only as per-scene metrics and counts (exports/vsmt_lean_s3_07_*.json in Embodied-SI/Rb-ERI); to reproduce it, request 3RScan access from TUM and rebuild the inputs with the conversion and rendering code in the code repository (branch s3-07-impl, ops/vsmt/s3_07_*.py).