Exception: SplitsNotFoundError Message: The split names could not be parsed from the dataset config. Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info for split_generator in builder._split_generators( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators raise ValueError( 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 65, in compute_split_names_from_streaming_response for split in get_dataset_split_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names info = get_dataset_config_info( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 294, 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.

MobilePoG: Benchmark for Mobile Point-of-Gaze Calibration.

Teaser

Dataset Summary

Figure 1: Collection procedure of the MobilePoG dataset.

MobilePoG was introduced in the paper "Pose-Robust Calibration Strategy for Point-of-Gaze Estimation on Mobile Phones" (BMVC 2025). It was collected and curated to support research on point-of-gaze estimation and calibration, with the primary goal of enabling valid evaluation of personalized calibration under varying points-of-gaze and head poses.

Dataset Structure

Static-MobilePoG
    -{subject}_{pose}
      --frames
        ---00000.jpg
        ---00001.jpg
        ...
      --camera.json   # camera parameters
      --face.json     # facial landmarks
      --headpose.json # headposes (pitch, yaw, roll)
      --info.json     # information about subject, pose, dataset split
      --label.json    # point-of-gaze labels
   -{subject}_{pose}
   ...

Dynamic-MobilePoG
    -{subject}_{pog}
      --frames
        ---00000.jpg
        ---00001.jpg
        ...
      --camera.json   # camera parameters
      --face.json     # facial landmarks
      --headpose.json # headposes (pitch, yaw, roll)
      --info.json     # information about subject, point-of-gaze, dataset split
      --label.json    # point-of-gaze labels
    -{subject}_{pog}
    ...

Dataset Examples

Figure 2: Examples of the Static-MobilePoG dataset.

Figure 3: Examples of the Dynamic-MobilePoG dataset.

Citation

Researchers using this dataset are kindly requested to cite the following reference:

@misc{zhao2025poserobustcalibrationstrategypointofgaze,
      title={Pose-Robust Calibration Strategy for Point-of-Gaze Estimation on Mobile Phones}, 
      author={Yujie Zhao and Jiabei Zeng and Shiguang Shan},
      year={2025},
      eprint={2508.10268},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2508.10268}, 
}