--- language_creators: - Shai Engel language: he license: cc-by-4.0 pretty_name: Citing of the Gmara dataset_description: This dataset contains audio citing of the Gmara configs: - config_name: default data_files: - split: train path: data/train-* - split: eval path: data/eval-* dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcript dtype: string - name: metadata struct: - name: seek dtype: float32 - name: duration dtype: float32 - name: source dtype: string - name: entry_id dtype: string - name: quality_score dtype: float32 - name: has_prev dtype: bool - name: has_timestamps dtype: bool - name: prev_transcript dtype: string splits: - name: train num_bytes: 100982065.41237113 num_examples: 1105 - name: eval num_bytes: 5391802.587628866 num_examples: 59 download_size: 105834719 dataset_size: 106373868.0 --- # Dataset Card for Citing of the Gmara ## Dataset Details ### Dataset Description This dataset contains audio citing of the Gmara - **License:** cc-by-4.0 ## 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)