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Datasets:
ivrit-ai
/
crowd_recital

Tasks:
Text-to-Speech
Text-to-Audio
Automatic Speech Recognition
Modalities:
Audio
Text
Formats:
parquet
Languages:
Hebrew
Size:
1K - 10K
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files Community
1

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Dataset Card for ivrit.ai - Crowd Recital

Dataset Details

Dataset Description

  • License: other

Dataset Structure

Data Fields

Each example in the dataset contains:

  • audio: An audio column containing:
    • bytes: The audio data encoded in MP3 format
    • path: A string identifier derived from the source entry ID
    • Sampling rate: Fixed at 16000 Hz
  • transcript: A string containing the text with potentially Whisper-style timestamp tokens (e.g., <|0.00|>text<|2.40|>) if "has_timestamps" is true
  • metadata: A dictionary containing:
    • seek: Float indicating the start time of this slice in the original source audio
    • source: String identifier for the source of the audio (Name of podcast, production system, etc.)
    • entry_id: Unique identifier for the source entry
  • has_prev: Boolean indicating if this slice has transcript from the previous slice within the audio source
  • has_timestamps: Boolean indicating if the transcript contains timestamp tokens
  • prev_transcript: String containing the transcript of the previous slice (empty if has_prev is false)
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