Excludes low quality segments (judged by probabilities of the text-audio auto alignment process)
Encodes timestamps along segments of text + previous text
Audio encoded to 16K sample-rate, mono
Total audio duration - ~78h
License: other

Dataset Structure

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 a 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)

License

The dataset is released under the ivrit.ai License, which enables broad research and commercial use.