Add grouped source-video manifest for SpaVoBench v1

README.md

@@ -19,7 +19,7 @@ SpaVoBench is a timestamped image-and-instruction release derived from the human
 - `data/annotations.jsonl`: release records, one per extracted frame.
 - `data/manifest.json`: release counts, source policy, and timestamp convention.
 - `images/`: JPEG frames named by `annotation_id`.
-- `source-videos/README.md`: canonical source-video policy. Complete MP4s remain in `Xinyun-Liu/WorldModelBench` and are not duplicated here.
+- `source-videos/README.md` and `source-videos/manifest.jsonl`: canonical source-video policy and grouped source links. Complete MP4s remain in `Xinyun-Liu/WorldModelBench` and are not duplicated here.
 
 ## Timestamp Convention
 

data/manifest.json

@@ -1,6 +1,6 @@
 {
   "schema_version": "spavobench-v1",
-  "generated_at": "2026-08-09T04:02:55Z",
+  "generated_at": "2026-08-09T04:06:37Z",
   "source_repository": "Xinyun-Liu/WorldModelBench",
   "source_video_policy": "Complete source MP4s remain in WorldModelBench. This release stores stable paths and URLs without duplicating video files.",
   "timestamp_convention": "One or two digits: seconds. Three or four digits: leading digits are minutes and final two digits are seconds. Decimal timestamps are seconds.",

scripts/prepare_spavobench_release.py

@@ -376,6 +376,26 @@ def write_jsonl(path: Path, rows: list[dict[str, Any]]) -> None:
             handle.write(json.dumps(row, ensure_ascii=False) + "\n")
 
 
+def build_source_manifest(records: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    grouped: dict[str, list[dict[str, Any]]] = collections.defaultdict(list)
+    for row in records:
+        grouped[row["video_path"]].append(row)
+    result: list[dict[str, Any]] = []
+    for video_path, rows in sorted(grouped.items()):
+        first = rows[0]
+        result.append(
+            {
+                "source_video_repository": SOURCE_REPOSITORY,
+                "video_path": video_path,
+                "source_video_url": first["source_video_url"],
+                "data_source": first["data_source"],
+                "annotation_ids": [row["annotation_id"] for row in rows],
+                "timestamp_seconds": [row["timestamp_seconds"] for row in rows],
+            }
+        )
+    return result
+
+
 def dataset_card() -> str:
     return """---
 license: other
@@ -398,7 +418,7 @@ SpaVoBench is a timestamped image-and-instruction release derived from the human
 - `data/annotations.jsonl`: release records, one per extracted frame.
 - `data/manifest.json`: release counts, source policy, and timestamp convention.
 - `images/`: JPEG frames named by `annotation_id`.
-- `source-videos/README.md`: canonical source-video policy. Complete MP4s remain in `Xinyun-Liu/WorldModelBench` and are not duplicated here.
+- `source-videos/README.md` and `source-videos/manifest.jsonl`: canonical source-video policy and grouped source links. Complete MP4s remain in `Xinyun-Liu/WorldModelBench` and are not duplicated here.
 
 ## Timestamp Convention
 
@@ -413,7 +433,7 @@ Every record contains the original WorldModelBench file path and public URL. `or
 def source_video_readme() -> str:
     return """# Source videos
 
-The complete, unmodified source MP4 for every SpaVoBench record is available from `Xinyun-Liu/WorldModelBench` at the `video_path` and `source_video_url` stored in its matching annotation record.
+The complete, unmodified source MP4 for every SpaVoBench record is available from `Xinyun-Liu/WorldModelBench` at the `video_path` and `source_video_url` stored in its matching annotation record. `manifest.jsonl` groups those links by source video.
 
 Videos are deliberately not duplicated in this repository. This keeps each source file under its original provenance and distribution terms while allowing any released frame to be reproduced exactly from its decoded timestamp.
 """
@@ -564,6 +584,7 @@ def write_release(source_path: Path, output: Path, extract_frames: bool, workers
     (output / "README.md").write_text(dataset_card(), encoding="utf-8")
     (output / "source-videos").mkdir(exist_ok=True)
     (output / "source-videos" / "README.md").write_text(source_video_readme(), encoding="utf-8")
+    write_jsonl(output / "source-videos" / "manifest.jsonl", build_source_manifest(kept))
     write_jsonl(output / "data" / "annotations.jsonl", kept)
     write_json(output / "data" / "manifest.json", manifest)
     write_jsonl(output / "data" / "frame_failures.jsonl", failures)
@@ -575,13 +596,13 @@ def write_release(source_path: Path, output: Path, extract_frames: bool, workers
 def upload_release(output: Path, message: str) -> str:
     api = HfApi()
     api.create_repo(TARGET_REPOSITORY, repo_type="dataset", exist_ok=True, private=False)
-    commit = api.upload_large_folder(
+    api.upload_folder(
         repo_id=TARGET_REPOSITORY,
         repo_type="dataset",
         folder_path=str(output),
         commit_message=message,
     )
-    return commit.commit_url
+    return f"https://huggingface.co/datasets/{TARGET_REPOSITORY}"
 
 
 def main() -> None:

source-videos/README.md

@@ -1,5 +1,5 @@
 # Source videos
 
-The complete, unmodified source MP4 for every SpaVoBench record is available from `Xinyun-Liu/WorldModelBench` at the `video_path` and `source_video_url` stored in its matching annotation record.
+The complete, unmodified source MP4 for every SpaVoBench record is available from `Xinyun-Liu/WorldModelBench` at the `video_path` and `source_video_url` stored in its matching annotation record. `manifest.jsonl` groups those links by source video.
 
 Videos are deliberately not duplicated in this repository. This keeps each source file under its original provenance and distribution terms while allowing any released frame to be reproduced exactly from its decoded timestamp.