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/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
                  raise ValueError(
                  ...<2 lines>...
                  )
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              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(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/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.

EvidenceQA-Core

EvidenceQA-Core is a video reasoning dataset for evaluating whether a model can answer questions with explicit visual evidence. It contains temporal QA samples and spatial grounding samples derived from video understanding sources.

Dataset Contents

The release archive contains the complete local public_dataset/ layout:

public_dataset/
  metadata.json
  train.jsonl
  validation.jsonl
  test.jsonl
  subsets/
    balanced-v1.json
  media/
    videos/
    frames/
    masks/

Statistics

Split Records
train 15,049
validation 1,934
test 2,941
total 19,924
Task Records
temporal_qa 7,017
spatial_grounding 12,907
Source dataset Records
charades_sta 5,962
qvhighlights 1,055
ref_youtube_vos 12,907

Usage

Download and extract the archive:

tar -xzf evidenceqa-core-v1.0.0-full.tar.gz

The extracted public_dataset/ directory can be passed directly to baseline code that accepts a dataset directory:

python -m evidenceqa_baseline \
  --dataset-dir /path/to/public_dataset \
  --local-jsonl /path/to/public_dataset/validation.jsonl

Files

  • metadata.json: schema, split, task, source, and media-layout metadata.
  • train.jsonl, validation.jsonl, test.jsonl: public split files.
  • subsets/balanced-v1.json: balanced subset ID lists.
  • media/: prepared local media layout used by the records.

Notes

Media assets are associated with their original source datasets. Users should follow the terms of the original datasets when using or redistributing media.

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