Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 246, in _split_generators
raise ValueError(
ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
VBVR Ball Bounce TokenCL Trajectory Overlay Results
This dataset stores trajectory overlay comparison images for the VBVR ball bounce run:
vbvr_ball_bounce_seed123_batch000001_headaware_step12500_requested_20260613.
Contents
metadata.csv: one row per sample with the winner label and metric columns.gallery_manifest.json: manifest used by the companion Static HTML Space.wo_vs_withTokenCL_gt_distance.csv: original per-sample metric table.wo_vs_withTokenCL_gt_distance_summary.json: original aggregate summary.images/withTokenCL_closer/*.png: samples wherewithTokenCLis closer to GT.images/woTokenCL_closer/*.png: samples wherewoTokenCLis closer to GT.
Summary
- Samples: 100
- Metric: mean per-frame L2 distance to GT in target-size pixel coordinates, missing method points penalized
withTokenCL_closer: 48woTokenCL_closer: 52tie: 0
Positive delta_wo_minus_with means withTokenCL is closer to GT. Negative values mean
woTokenCL is closer to GT.
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