Datasets:
metadata
license: other
pretty_name: DuplexOmni Data
size_categories:
- 1B<n<10B
task_categories:
- any-to-any
- automatic-speech-recognition
- text-to-speech
- visual-question-answering
DuplexOmni Data
This dataset accompanies DuplexOmni: Real-Time Listening, Seeing, Thinking, and Speaking for Full-Duplex Interaction.
- GitHub: MuyeHuang/DuplexOmni
- arXiv: 2606.09186
Files
The root directory includes the Writer-Director source files:
inbound.director.jsonloutbound.director.jsonl
The synthesized parquet training shards are about 9 TB in total, so uploading them is expected to be very slow. They will be uploaded incrementally; each completed shard can be used as soon as it appears.
Before all parquet shards finish uploading, users can synthesize the data locally by following the method and scripts in MuyeHuang/DuplexOmni.