| # External data layout |
|
|
| No records, identifiers, labels, audio, images, or videos are distributed here. |
| Paths below are input/output contracts for running the source with separately |
| provided assets. Paths stored inside JSONL records must resolve on the machine |
| running the code. JSONL means one JSON object per line. |
|
|
| ## Raw source trajectories |
|
|
| `datasets/source_trajectories/{static,sound}/{train,validation}.jsonl`: |
|
|
| Each row contains `id`, `episode_id`, `step`, `task`, `split`, `scene`, `clip_id`, |
| `instruction`, `pose` (integer yaw and pitch), `panorama`, and `answer`. |
| Sound rows also contain `audio_path`. Static rows use `source: "custom"` and |
| `task: "HOS"`. Sound task names are `sound_class`, `duration`, and `order`. |
| The source answer is an integer `rotate` or current-pose `submit` action enclosed |
| in one `<answer>...</answer>` block. Step values must be consecutive. |
|
|
| ## Benchmark identity and annotations |
|
|
| `datasets/omini_360_benchmark_v0_1/`: |
|
|
| - `public/{train,validation,test}.jsonl`: instruction records; test records |
| include `id`, `task_type`, `instruction`, `initial_pose`. |
| - `private/episode_map.jsonl`: maps `id` to `scene`, `clip_id`, and `task_id`. |
| - `private/static_labels/hos_{train,validation}.jsonl`: `task_id`, `split`, |
| `yaw`, `pitch`, and `bbox` for the HOS geometric expert. |
|
|
| `datasets/hstar_full_test_v1/<task_id>/` contains exactly one panorama PNG/JPEG |
| and an `annotation.json` list. The first annotation supplies `yaw` and `pitch` |
| intervals used by the static evaluator. |
|
|
| `datasets/omini_sound_search_v1/`: |
|
|
| - `public/{train,validation,test}.jsonl`: `id`, `task`, `instruction`, |
| `initial_pose`, with source identity fields as needed by preparation. |
| - `private/labels.jsonl`: `id`, `scene`, `clip_id`, `split`, `panorama`, |
| `audio_path`, `target_index`, and `candidates`. |
| - Each candidate contains `center: [yaw,pitch]`, pixel `bbox: [x1,y1,x2,y2]`, |
| `noun`, and a `dry_audio` path for constructing auxiliary mixtures. |
|
|
| The sound scorer uses 512x2048 panorama annotation coordinates. Audio must |
| supply at least ten seconds of two-channel finite samples. Exact test counts |
| are HOS=4536, sound_class=716, duration=1076, order=1076. Ground-truth labels |
| are for geometric supervision and scoring; the policy message builder never |
| accepts labels. |
| |
| ## Prepared policy data |
| |
| `workspace/fourtask_v2/data/` contains `train.jsonl`, `validation.jsonl`, |
| `train_episodes.jsonl`, `validation_episodes.jsonl`, and `audit.json`. |
| These are generated by `prepare_data.py`; they are not included in the archive. |
|
|
| Policy rows contain `id`, `episode_id`, `task`, `split`, `scene`, `clip_id`, |
| `instruction`, `pose`, `observations`, `history_actions`, `audio_path`, |
| `audio_end_s`, `reference`, `dynamic`, `answers`, `supervision_kind`, and |
| `recovery_prefix_steps`. An observation is a panorama path and a camera pose. |
| Rows use one to three observations and at most two historical actions. |
|
|
| Episode rows contain `id`, `task`, `split`, `scene`, `clip_id`, `instruction`, |
| `initial_pose`, `panorama`, `audio_path`, and `label`. The integrity manifest |
| records SHA256 for policy and episode files and requires the scene/clip |
| split-disjointness flag. Do not fabricate audit manifests to bypass these |
| checks; use the builders with matching source records. |
|
|
| ## Auxiliary data |
|
|
| `workspace/fourtask_v3_audio_realign/data/` contains `aux_train.jsonl`, |
| `aux_validation.jsonl`, generated waveforms, and their audit manifests. |
| Each row contains source identity, paired candidates, a temporal query, |
| `target_index`, onset/duration metadata, and the emitted waveform SHA256. |
| The builder requires at least 100 accepted training clips and 16 validation |
| clips. It verifies emitted energy windows and rejects unsuitable recordings. |
|
|
