PEARL: Personalized Streaming Video Understanding Model
Paper • 2603.20422 • Published • 25
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: ReadError
Message: unexpected end of data
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1576, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
for item in generator(*args, **kwargs):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 120, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 45, in _get_pipeline_from_tar
current_example[field_name] = f.read()
^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 693, in read
raise ReadError("unexpected end of data")
tarfile.ReadError: unexpected end of data
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/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1438, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1616, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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End of preview.
PEARL: Personalized Streaming Video Understanding Model
PEARL-Bench is the first comprehensive benchmark designed specifically for Personalized Streaming Video Understanding (PSVU). It evaluates a model's ability to recognize user-defined concepts, localize them at precise timestamps, and answer personalized queries over continuous video streams.
The benchmark comprises 132 unique videos and 2,173 fine-grained annotations with precise timestamps. It supports two evaluation modes:
- Frame-level: Focuses on a specific person or object in discrete frames.
- Video-level: Focuses on personalized actions unfolding across continuous frames.
Dataset Structure
The dataset is organized as follows:
data/
frame-level/
annotations/ # Fine-grained annotations with timestamps
output_clips/ # Generated scene clips
videos/ # Source video files (.mp4)
Usage
For detailed instructions on downloading, merging, and extracting the data, as well as running the evaluation pipeline, please refer to the official GitHub repository.
Citation
If you find this dataset useful for your research, please cite:
@article{zheng2026pearl,
title={PEARL: Personalized Streaming Video Understanding Model},
author={Zheng, Yuanhong and An, Ruichuan and Lin, Xiaopeng and Liu, Yuxing and Yang, Sihan and Zhang, Huanyu and Li, Haodong and Zhang, Qintong and Zhang, Renrui and Li, Guopeng and Zhang, Yifan and Li, Yuheng and Zhang, Wentao},
journal={arXiv preprint arXiv:2603.20422},
year={2026}
}
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