---
language_creators:
- crowdsourced
language: he
license: other
task_categories:
- text-to-speech
- text-to-audio
- automatic-speech-recognition
pretty_name: ivrit.ai - Crowd Recital
---

# Dataset Card for ivrit.ai - Crowd Recital

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## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->



- **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)