| # Evaluation benchmarks |
|
|
| This release ships **schemas and a single demo entry**; the full benchmark |
| JSONs and reference assets are not bundled. Use the schemas below to materialize |
| your own copies, or download the official benchmark archive separately. |
|
|
| ## Layout |
|
|
| ``` |
| benchmarks/ |
| ├── README.md |
| ├── datasets/ # raw dataset JSONs (not bundled, gitignored) |
| ├── datasets_portable/ # portable JSONs with relative ref paths |
| │ └── demo_crosstest.json # bundled single-entry example (uses examples/I2V/) |
| ├── manifests/ # per-metric manifests (Object-DINO / TVA), not bundled |
| └── assets/ # per-sample reference images (not bundled) |
| ``` |
|
|
| ## Dataset JSON schema |
|
|
| Each JSON is a list of dicts, one entry per evaluation case. Required fields: |
|
|
| | Field | Description | |
| |----------------------------|-------------------------------------------------------------| |
| | `image_id` | unique id (used as `<image_id>.mp4`) | |
| | `caption` | text prompt | |
| | `ref_image_path` | human reference image (relative to `evaluation/` if portable) | |
| | `ref_obj_image_path` | object reference image | |
| | `ref_obj_clip_image_path` | object image for the CLIP encoder; usually same as the above | |
|
|
| Optional fields used by some metrics: |
|
|
| | Field | Used by | Description | |
| |----------------|-----------|--------------------------------------------| |
| | `audio` | (unused) | matching speech track (`.wav`) | |
| | `dwpose` | (unused) | precomputed pose (`.pkl`) | |
| | `fps` | (unused) | source video FPS | |
|
|
| ## Three benchmarks (used in the paper) |
|
|
| | Benchmark | Suggested filename | Samples | |
| |----------------|---------------------------------------|---------| |
| | **Cross-test** | `hoi_crosstest_<date>.json` | 72 | |
| | **AC** | `hoi_AC_test_evalset.json` | 71 | |
| | **HOMA** | `hoi_selfcollect_homa1_evalset.json` | 110 | |
|
|
| ## Portable JSONs vs raw JSONs |
|
|
| - `datasets/` — original JSONs with absolute paths into your local data store. |
| - `datasets_portable/` — same schema but with relative paths under |
| `evaluation/assets/<image_id>/`. Use these for release / portable evaluation. |
| Convert back and forth with `scripts/absolutize_dataset_json.py` and |
| `scripts/prepare_benchmark_assets.{py,sh}`. |
|
|
| ## Metric manifests |
|
|
| `manifests/` holds pre-generated manifests for Object-DINO and TVA. Regenerate |
| from a dataset JSON via: |
|
|
| ```bash |
| bash ../scripts/prepare_eval_jsons.sh # crosstest |
| bash ../scripts/prepare_baselines_jsons.sh # AC + HOMA |
| ``` |
|
|
| | Manifest | Used for | |
| |-----------------------------------------------------|-------------------| |
| | `obj_dino_crosstest.json`, `tva_crosstest.json` | Cross-test | |
| | `obj_dino_AC.json`, `tva_AC.json` | AC benchmark | |
| | `obj_dino_homa.json`, `tva_homa.json` | HOMA benchmark | |
|
|
| InternVL is fed the raw dataset JSON directly (no manifest). |
|
|
