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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).
|