| --- |
| |
| license: other |
| pretty_name: RoboParse action segmentation benchmark (v2) test episodes |
| task_categories: |
| - video-classification |
| tags: |
| - robotics |
| - temporal-action-segmentation |
| - egocentric |
| - bimanual-manipulation |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: behavior |
| data_files: |
| - split: test |
| path: data/behavior.jsonl |
| - split: train |
| path: data/train/behavior.jsonl |
| - split: validation |
| path: data/validation/behavior.jsonl |
| - config_name: abc |
| data_files: |
| - split: test |
| path: data/abc.jsonl |
| - split: train |
| path: data/train/abc.jsonl |
| - split: validation |
| path: data/validation/abc.jsonl |
| - config_name: abc_extra |
| data_files: |
| - split: test |
| path: data/abc_extra.jsonl |
| - config_name: egoverse_human |
| data_files: |
| - split: test |
| path: data/egoverse_human.jsonl |
| - split: train |
| path: data/train/egoverse_human.jsonl |
| - split: validation |
| path: data/validation/egoverse_human.jsonl |
| --- |
| |
| # RoboParse action segmentation benchmark (v2): test episodes |
|
|
| The list of the 300 test episodes of the RoboParse benchmark, with where each one comes from. Videos and reference |
| annotations are not part of this release; every episode points to its original dataset, where the video can be obtained. |
|
|
| | Subset | Episodes | Source | |
| |---|---:|---| |
| | `behavior` | 50 | BEHAVIOR-1K 2025 challenge demonstrations, head camera | |
| | `abc` | 100 | XDOF/ABC-130k, top camera (the benchmark's original ABC test episodes) | |
| | `abc_extra` | 50 | XDOF/ABC-130k, top camera (episodes added from the former EgoVerse-EVA test set) | |
| | `egoverse_human` | 100 | EgoVerse, MECKA first-person human demonstrations | |
|
|
| ## Training and validation episodes |
|
|
| The `train` and `validation` splits of `behavior`, `abc` and `egoverse_human` list the episodes of the annotator's fine-tuning data |
| (SFT v3, 2026-10-30), in the same format; labels are not part of this release. None of them is a test episode. |
|
|
| | Subset | Train | Validation | Notes | |
| |---|---:|---:|---| |
| | `behavior` | 2,000 | 300 | 90 tasks, 22-23 episodes each: 45 tasks of the 2025 challenge (task_id 0-49) and 45 tasks added in 2026 (task_id 50-99); `task_id` gives the task | |
| | `abc` | 1,751 | 88 | top camera; includes the 50 former `abc_extra` test episodes | |
| | `egoverse_human` | 800 | 100 | MECKA first-person demonstrations | |
|
|
| Since 2026-10-28 the benchmark has 250 test episodes: the 50 `abc_extra` episodes moved to the `abc` training split. `abc_extra` |
| is kept below for reference only. For training rows, `duration_sec` is the length of the stream the training clips are cut from |
| (ABC-130k: the synchronized 8 fps stream). |
|
|
| ## Fields |
|
|
| `data/<subset>.jsonl`, one row per episode: |
|
|
| - `episode_id`, `task` (empty for EgoVerse free-form recordings), `duration_sec` |
| - `source`: `dataset`, and the episode in that release: `path` (BEHAVIOR, ABC-130k), `episode` (ABC-130k, EgoVerse), |
| `camera`, `object` (EgoVerse bucket object key), `egoverse_episode` (`abc_extra`: the EgoVerse copy of the same |
| ABC-130k episode, recorded by the same top camera). |
|
|
| ## Notes |
|
|
| - ABC-130K is public; models may have seen these episodes during pre-training. |
| - None of the `abc` or `abc_extra` episodes is in the benchmark's ABC fine-tuning data. |
| - Using the videos is subject to each source's own license and access terms (TODO: link them). |
|
|
| ## Citation |
|
|
| TODO |
|
|
