Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
schema_version: int64
revision: int64
video: struct<id: string, path: string, sha256: string, fps: double, width: int64, height: int64, frame_cou (... 36 chars omitted)
child 0, id: string
child 1, path: string
child 2, sha256: string
child 3, fps: double
child 4, width: int64
child 5, height: int64
child 6, frame_count: int64
child 7, duration_seconds: double
tracks: list<item: struct<id: int64, label: string, custom_label: null, color: string, anchor_type: string, (... 266 chars omitted)
child 0, item: struct<id: int64, label: string, custom_label: null, color: string, anchor_type: string, interpolati (... 254 chars omitted)
child 0, id: int64
child 1, label: string
child 2, custom_label: null
child 3, color: string
child 4, anchor_type: string
child 5, interpolation: string
child 6, locked: bool
child 7, hidden: bool
child 8, segments: list<item: struct<id: string, start_frame: int64, end_frame: int64>>
child 0, item: struct<id: string, start_frame: int64, end_frame: int64>
child 0, id: string
child 1, start_frame: int64
child 2, end_frame: int64
child 9, keyframes: list<item: struct<frame_index: int64, bbox_xyxy: list<item: double>, human_verified: bool, occluded: (... 22 chars omitted)
child 0, item: struct<frame_index: int64, bbox_xyxy: list<item: double>, human_verified: bool, occluded: bool, note (... 10 chars omitted)
child 0, frame_index: int64
child 1, bbox_xyxy: list<item: double>
child 0, item: double
child 2, human_verified: bool
child 3, occluded: bool
child 4, notes: string
reviewed_frames: list<item: null>
child 0, item: null
metadata: struct<created_at: string, updated_at: string, annotator: string, notes: string>
child 0, created_at: string
child 1, updated_at: string
child 2, annotator: string
child 3, notes: string
reference_image: string
annotation_format: string
id: string
width: int64
fps: double
dataset: string
height: int64
source_video: string
frame_count: int64
annotation: string
to
{'schema_version': Value('string'), 'id': Value('string'), 'dataset': Value('string'), 'source_video': Value('string'), 'reference_image': Value('string'), 'annotation': Value('string'), 'annotation_format': Value('string'), 'width': Value('int64'), 'height': Value('int64'), 'fps': Value('float64'), 'frame_count': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
schema_version: int64
revision: int64
video: struct<id: string, path: string, sha256: string, fps: double, width: int64, height: int64, frame_cou (... 36 chars omitted)
child 0, id: string
child 1, path: string
child 2, sha256: string
child 3, fps: double
child 4, width: int64
child 5, height: int64
child 6, frame_count: int64
child 7, duration_seconds: double
tracks: list<item: struct<id: int64, label: string, custom_label: null, color: string, anchor_type: string, (... 266 chars omitted)
child 0, item: struct<id: int64, label: string, custom_label: null, color: string, anchor_type: string, interpolati (... 254 chars omitted)
child 0, id: int64
child 1, label: string
child 2, custom_label: null
child 3, color: string
child 4, anchor_type: string
child 5, interpolation: string
child 6, locked: bool
child 7, hidden: bool
child 8, segments: list<item: struct<id: string, start_frame: int64, end_frame: int64>>
child 0, item: struct<id: string, start_frame: int64, end_frame: int64>
child 0, id: string
child 1, start_frame: int64
child 2, end_frame: int64
child 9, keyframes: list<item: struct<frame_index: int64, bbox_xyxy: list<item: double>, human_verified: bool, occluded: (... 22 chars omitted)
child 0, item: struct<frame_index: int64, bbox_xyxy: list<item: double>, human_verified: bool, occluded: bool, note (... 10 chars omitted)
child 0, frame_index: int64
child 1, bbox_xyxy: list<item: double>
child 0, item: double
child 2, human_verified: bool
child 3, occluded: bool
child 4, notes: string
reviewed_frames: list<item: null>
child 0, item: null
metadata: struct<created_at: string, updated_at: string, annotator: string, notes: string>
child 0, created_at: string
child 1, updated_at: string
child 2, annotator: string
child 3, notes: string
reference_image: string
annotation_format: string
id: string
width: int64
fps: double
dataset: string
height: int64
source_video: string
frame_count: int64
annotation: string
to
{'schema_version': Value('string'), 'id': Value('string'), 'dataset': Value('string'), 'source_video': Value('string'), 'reference_image': Value('string'), 'annotation': Value('string'), 'annotation_format': Value('string'), 'width': Value('int64'), 'height': Value('int64'), 'fps': Value('float64'), 'frame_count': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Game2World Benchmark
The benchmark contains 200 five-second gameplay clips at 1280x720 and 30 FPS:
synthetic.zip: 100 clips with synthetic HUD overlays.in_the_wild.zip: 100 gameplay clips collected in the wild.
Every example includes the input video, a 1280x720 clean reference image, and the annotation used by the Game2World evaluation. The clean references for the in-the-wild split were produced with Codex ImageGen and reviewed as part of the benchmark preparation.
The paired training set is released separately as HUD-Video. It contains 96,037 clean/HUD-overlaid gameplay pairs, HUD mask videos, and per-sample JSON renderer annotations. HUD-Video is training data; the 200 clips in this repository are the separate evaluation benchmark.
Use scripts/run_benchmark.sh from the
Game2World repository to download
the archives, run the model, and evaluate the outputs.
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