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Seamless Interact - Canary Transcripts

Speech transcription dataset generated by running NVIDIA Canary-Qwen2.5B ASR model on the Seamless Interact conversational speech dataset, segmented by original corpus boundaries.

Dataset Description

This dataset contains 2,781,985 transcribed speech segments from the Seamless Interact corpus. Each segment includes the transcribed text, timing information (offset and duration within the source audio), and metadata identifying the source conversation.

Source

  • Audio corpus: Seamless Interact (English conversational speech)
  • ASR model: NVIDIA Canary-Qwen2.5B (canary-qwen-2.5b)
  • Segmentation: Original corpus segmentation boundaries

Dataset Structure

Column Type Description
audio_filename string Source WAV filename (e.g., V00_S0030_I00000125_P0045.wav)
offset float Start time of the segment within the audio file (seconds)
duration float Duration of the segment (seconds)
text string Transcribed text
model string ASR model used (canary-qwen-2.5b)
volume string Volume ID (e.g., V00)
session string Session ID (e.g., S0030)
interaction string Interaction ID (e.g., I00000125)
participant string Participant ID (e.g., P0045)

Example

from datasets import load_dataset

ds = load_dataset("hiraki/seamless-interact-canary-transcripts", split="train")
print(ds[0])
# {'audio_filename': 'V00_S0030_I00000125_P0045.wav',
#  'offset': 0.0,
#  'duration': 3.119,
#  'text': 'James what is your happiest childhood memory',
#  'model': 'canary-qwen-2.5b',
#  'volume': 'V00',
#  'session': 'S0030',
#  'interaction': 'I00000125',
#  'participant': 'P0045'}

Statistics

  • Total segments: 2,781,985
  • Source files: 93,129 JSONL files
  • Format: Parquet (94.3 MB)

Intended Use

This dataset is intended for research on:

  • Conversational speech recognition
  • Turn-taking prediction and modeling
  • Dialogue systems

License

This dataset follows the license of the source Seamless Interact corpus (CC-BY-4.0).

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