| --- |
| language: |
| - en |
| license: cc-by-nc-sa-4.0 |
| pretty_name: EgoPathBench |
| size_categories: |
| - 10K<n<100K |
| tags: |
| - embodied-ai |
| - spatial-reasoning |
| - visual-question-answering |
| - navigation |
| --- |
| |
| # EgoPathBench |
|
|
| Yang Zhao, Zhuo Chen, and Xubo Yang, Shanghai Jiao Tong University. |
|
|
| Release upload complete. All 36 archives were verified against SHA-256 checksums. |
| See `UPLOAD_COMPLETE.json` and `archive_manifest.json`. |
|
|
| 31,852 train, 1,345 validation, and 1,111 benchmark questions across point and |
| embodied traversability, point and embodied paths, and intent paths. |
|
|
| ## Loading |
|
|
| Download the full snapshot with `hf download runder1/EgoPathBench --repo-type dataset --local-dir downloads`. |
| Verify and extract the downloaded archives using `python scripts/unpack_dataset.py --source downloads --output dataset` from the code repository (Python 3.12+). Downloads require roughly 34 GB, plus another 34 GB for extraction. The 32 asset tar shards extract into one shared `assets/` tree. |
|
|
| This is a file-based release containing JSONL records and referenced assets; it is |
| not an automatically inferred `load_dataset` configuration. |
|
|
| Read `release/{split}/vqa/vqa_next_{task}.jsonl` for task questions. |
| Each row contains a question ID, prompts, a relative image path, visible-waypoint |
| metadata, and ground truth. Ground truth and evaluator sidecars are for evaluation |
| or training supervision only; never pass them to a zero-shot model. |
|
|
| **For benchmark scoring use `benchmark_evalfix/benchmark/vqa/` and its matching |
| `gt/` and `sidecars/`, rather than the unpatched benchmark labels.** |
| Run evaluation from this dataset root so asset paths resolve. |
| |
| Original scene meshes, source-pool archives, provider credentials, and experiment |
| logs are not included. Historical construction provenance may contain original |
| machine paths; executable image/waypoint/evaluation references are local to this release. |
| |
| The benchmark reference-route integrity check passed on all 819 route questions |
| after packaging. This validates packaging, not model performance. |
| |
| ## Training resource |
| |
| `training/` contains 31,852 direct-answer and 31,852 spatial CoT training conversations, with portable image paths and the original export report. |
| |
| ## License and sources |
| |
| CC BY-NC-SA 4.0, with applicable upstream terms retained. Scene geometry derives |
| through InternScenes from 3RScan, ScanNet, ARKitScenes, and Matterport3D. |
| See `THIRD_PARTY_NOTICES.md`. Original scene assets must be obtained upstream. |
| |
| ## Code and paper |
| |
| [Code](https://github.com/EgoPathBench/EgoPathBench) |
| |
| [Project page](https://egopathbench.github.io/EgoPathBench/) |
| |
| [Paper](https://arxiv.org/abs/2609.16610) · arXiv:2609.16610 |
| |
| ## Citation |
| |
| ```bibtex |
| @misc{zhao2026egopathbench, |
| title={EgoPathBench: Evaluating Zero-Shot Egocentric Waypoint Decision-Making in Vision-Language Models}, |
| author={Yang Zhao and Zhuo Chen and Xubo Yang}, |
| year={2026}, |
| eprint={2609.16610}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2609.16610} |
| } |
| ``` |
| |
| |
| Contact: runder1103@sjtu.edu.cn; yangxubo@sjtu.edu.cn. |
| |
