| { |
| "dataset_name": "worldforge-go2-dimos-replay-world-pairs", |
| "frame_count_in_source": 20918, |
| "horizon_s_requested": 3.0, |
| "limitations": [ |
| "Small public replay subset, not broad Go2 coverage.", |
| "Actions are derived from pose deltas between frames, not joystick command logs.", |
| "No safety claims; intended for research demos and WorldForge score-interface experiments." |
| ], |
| "max_image_width": 480, |
| "max_pairs_per_source": 500, |
| "pair_count": 2557, |
| "pair_counts_by_source": { |
| "go2_bigoffice": 500, |
| "go2_china_office": 0, |
| "go2_hongkong_office": 500, |
| "go2_short": 203, |
| "go2_slamabuse1": 500, |
| "go2_slamabuse2": 500, |
| "markers_go2": 354 |
| }, |
| "sample_stride": 4, |
| "schema_version": 1, |
| "skipped_sources": { |
| "go2_china_office": "not enough image rows with usable pose fields in artifacts/dimos_replay_lfs_cache/extracted/go2_china_office.db: 0" |
| }, |
| "source_dataset": "go2_short,markers_go2,go2_bigoffice,go2_hongkong_office,go2_slamabuse1,go2_slamabuse2,go2_china_office", |
| "source_datasets": [ |
| "go2_short", |
| "markers_go2", |
| "go2_bigoffice", |
| "go2_hongkong_office", |
| "go2_slamabuse1", |
| "go2_slamabuse2", |
| "go2_china_office" |
| ], |
| "source_frame_counts": { |
| "go2_bigoffice": 4164, |
| "go2_china_office": 0, |
| "go2_hongkong_office": 7949, |
| "go2_short": 855, |
| "go2_slamabuse1": 2951, |
| "go2_slamabuse2": 3540, |
| "markers_go2": 1459 |
| }, |
| "source_lfs_oids": { |
| "go2_bigoffice": "e66f5472e72f370446d8dcd802f70f3c3c07e4e083c5d6a394873877dec4c88d", |
| "go2_china_office": "834539871fd325b15f3079a3490b278c54e78d0d40bfa1342dbdc983f6a3ee02", |
| "go2_hongkong_office": "d1bb7de9a090b4053ba1ee4f36d776e439d970cba08ebb489f9311f26946f56c", |
| "go2_short": "8a19846a0adf5755815fd039492c0255e0bc282e9df75a06648d7585cae8d2d2", |
| "go2_slamabuse1": "a85feac43debdebf344c567483ab7d1bec12c3cf9e4df26034260a24e225f219", |
| "go2_slamabuse2": "7d9a13596cf3d9a50e437fa89e8a3d68d843587116681564b4de7422b53c54dd", |
| "markers_go2": "5a43529f8dbc2aedcccca6ae89747235826123c2bc066e0dc8b87c2042219dae" |
| }, |
| "source_lfs_paths": { |
| "go2_bigoffice": "data/.lfs/go2_bigoffice.db.tar.gz", |
| "go2_china_office": "data/.lfs/go2_china_office.db.tar.gz", |
| "go2_hongkong_office": "data/.lfs/go2_hongkong_office.db.tar.gz", |
| "go2_short": "data/.lfs/go2_short.db.tar.gz", |
| "go2_slamabuse1": "data/.lfs/go2_slamabuse1.db.tar.gz", |
| "go2_slamabuse2": "data/.lfs/go2_slamabuse2.db.tar.gz", |
| "markers_go2": "data/.lfs/markers_go2.db.tar.gz" |
| }, |
| "source_license": "Apache-2.0 per dimensionalOS/dimos LICENSE", |
| "source_repo": "https://github.com/dimensionalOS/dimos", |
| "split_counts": { |
| "test": 383, |
| "train": 1791, |
| "validation": 383 |
| }, |
| "task": "egomotion-conditioned future visual latent prediction and candidate scoring", |
| "unique_exported_frames": 5046 |
| } |
|
|
