benchmarks/README.md

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 ../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).