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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:    ValueError
Message:      Invalid string class label Hum-Omni-Track2-Phase1@80697bfa60920c3a60da3f3da1c2185a89bf07cc
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2240, in __iter__
                  example = _apply_feature_types_on_example(
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2157, in _apply_feature_types_on_example
                  encoded_example = features.encode_example(example)
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2152, in encode_example
                  return encode_nested_example(self, example)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1437, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1460, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1143, in encode_example
                  example_data = self.str2int(example_data)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1080, in str2int
                  output = [self._strval2int(value) for value in values]
                            ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1101, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label Hum-Omni-Track2-Phase1@80697bfa60920c3a60da3f3da1c2185a89bf07cc

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Track 2 Phase 1 Test Data

This test set is part of the HumOmni 2026 competition.

Competition website: https://humomni2026.github.io/

Overview

The test set contains 500 video question-answering samples. Each sample consists of a natural language question about a short video clip, along with frames pre-extracted at 2 fps for convenience.

Data Format

Each sample is stored in its own directory under data/, named by the video ID (e.g., data/OSfMU69X3C4.7/).

data/
└── <video_id>/
    β”œβ”€β”€ question.json   # the question for this sample
    β”œβ”€β”€ 0.5.jpg         # frame at 0.5 sec
    β”œβ”€β”€ 1.0.jpg         # frame at 1.0 sec
    β”œβ”€β”€ 1.5.jpg
    └── ...             # frames continue at 0.5 sec intervals

question.json

{
  "question_id": "OSfMU69X3C4.7.mp4",
  "question": "What kind of items are sold in the store?"
}
Field Description
question_id Unique identifier for the sample (video filename)
question The question to be answered based on the video

Frames

Frames are extracted at 2 fps (one frame every 0.5 seconds), scaled to 480px width, and saved as JPEG named by their timestamp in seconds (0.5.jpg, 1.0.jpg, ...). The last frame corresponds to the end of the video clip.

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