| 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 | |
| <!-- Provide a quick summary of the dataset. --> | |
| ## 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) |