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ISL Fingerspelling Dataset

First continuous fingerspelling dataset for Indian Sign Language (ISL).

Paper: "Continuous Fingerspelling Dataset for Indian Sign Language" (WSLP @ AACL-IJCNLP 2025)

Statistics

Segments Duration Characters
1,308 70.85 min 14,814

Structure

├── videos/                        # 1308 mp4 files
├── fingerspelling_annotations.csv # Segment annotations
└── localization_timestamps.csv    # Temporal localization in source videos

fingerspelling_annotations.csv

Maps video segments to their transcriptions.

Column Description
uid Unique segment ID ({video_id}_seg{index}_signer)
text Fingerspelled text

localization_timestamps.csv

Contains temporal boundaries of fingerspelling segments in the original YouTube videos.

Column Description
video_id YouTube video ID
segment_index Segment index within the video
start_time Start timestamp (HH:MM:SS.mmm)
start_sec Start time in seconds
end_time End timestamp (HH:MM:SS.mmm)
end_sec End time in seconds
duration_str Duration (HH:MM:SS.mmm)
duration_sec Duration in seconds
transcript Fingerspelled text

Citation

@inproceedings{kirandevraj2025islfingerspelling,
  title={Continuous Fingerspelling Dataset for Indian Sign Language},
  author={Kirandevraj, R and Kurmi, Vinod K and Namboodiri, Vinay P and Jawahar, CV},
  booktitle={WSLP @ AACL-IJCNLP},
  year={2025}
}

Contact

[email protected]

Project Page

https://kirandevraj.github.io/ISL-Fingerspelling

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