README.md

metadata

license: cc-by-4.0
language:
  - zh
pretty_name: ScreenASR-Bench
task_categories:
  - automatic-speech-recognition
tags:
  - audio
  - image
  - multimodal
  - benchmark
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*.parquet

ScreenASR-Bench

Data

Item	Value
Split	test
Cases	2,002
Audio clips	2,002
Keyframes	2,469
Languages	Chinese

Structure

Field	Type	Description
caseid	string	Unique case identifier
ref	string	Reference transcription
target	string	Target text in TN form
level	string	Difficulty level: L1, L2, or L3
audio	audio	Audio clip
keyframes	list[image]	Keyframes associated with the case
frame_captions	list[string]	Captions aligned with keyframes

License

This benchmark is released under CC BY-NC 4.0 for academic research only. Commercial use is prohibited.

Citation

If you find ScreenASR-Bench useful in your research, please consider citing our paper:

@misc{fu2026screenasrbenchtieredbenchmarkspeech,
  title={ScreenASR-Bench: A Tiered Benchmark for Speech Recognition with Visual Context},
  author={Mingwei Fu and Zheshu Song and Zhikai Zhou and Shen Huang and Shidong Shang and Mengxiao Zhu},
  year={2026},
  eprint={2610.16260},
  archivePrefix={arXiv},
  primaryClass={cs.AI},
  url={https://arxiv.org/abs/2610.16260}
}