| --- |
| license: cc-by-4.0 |
| task_categories: |
| - video-classification |
| tags: |
| - human-study |
| - video-evaluation |
| - embodied-ai |
| --- |
| |
| # RoboJudge human study — annotation packages |
|
|
| **16 self-contained, offline annotation packages** covering the 800-item RoboJudge test set. |
|
|
| | packages | items each | total | |
| |---|---|---| |
| | `human_study_01..16.zip` | **50** | **800** | |
|
|
| Together: **800 items, no duplicates, full coverage.** |
| All clips belonging to the same `(dataset, task, episode)` scene stay inside one |
| package, so a scene is never split across two annotators. |
|
|
| ## How to use |
|
|
| 1. Download one zip and unpack it. |
| 2. Double-click `index.html` — it runs from `file://`, no server needed. |
| 3. Enter your name, score each clip, then click **Save my results** to export a JSON file. |
| 4. Send that JSON back to whoever assigned you the package. |
|
|
| Progress is kept in `localStorage`, so closing the browser does not lose work — **same machine, |
| same browser**. Opening the package on a different computer or browser starts from zero. |
| An internet connection is required: the videos stream from the public dataset. |
|
|
| ## What is scored |
|
|
| Per clip, 8 inputs: |
|
|
| - **Physical plausibility (PA)**, 1–5, with three sub-axes (0 fails / 1 partial / 2 ok): |
| agent integrity · scene & object consistency · interaction realism |
| - **Instruction alignment (IA)**, 1–5, with three sub-axes (0 / 1 / 2): |
| right agent acts · right object · goal completed |
|
|
| No free text is collected. |
|
|
| ## Study design notes |
|
|
| These matter if you analyse the results: |
|
|
| - **Annotators watch the full video at native frame rate.** The automatic judges do not — |
| they sample frames (the reference protocol is 4 fps). Annotators therefore see motion |
| artefacts that frame-sampled judges cannot. Human and judge scores are **not** same-input |
| measurements; treat the human scores as a reference standard rather than as an |
| equal-footing comparison. |
| - **No ground-truth reference video is shown**, and the packages do not contain one. |
| - **No init frame is shown.** The judges receive video + instruction only, so showing an |
| init frame would give annotators strictly more than the judge had. |
| - Packages carry only `item_id`, `video_url` and `instruction` — **no gold labels and no |
| model predictions**, so scoring cannot be anchored by them. |
|
|
