--- dataset_info: features: - name: uuid dtype: string - name: audio dtype: audio - name: orig_sentence dtype: string - name: sentence dtype: string - name: is_retranscribe dtype: bool splits: - name: train num_bytes: 14563250472.649 num_examples: 151849 - name: test num_bytes: 2261666115.644 num_examples: 17527 download_size: 15152586935 dataset_size: 16824916588.293 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* task_categories: - automatic-speech-recognition extra_gated_prompt: 'You agree to the following license terms: This material and data is licensed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), The full text of the CC-BY 4.0 license is available at https://creativecommons.org/licenses/by/4.0/. Notwithstanding the foregoing, this material and data may only be used, modified and distributed for the express purpose of training AI models, and subject to the foregoing restriction. In addition, this material and data may not be used in order to create audiovisual material that simulates the voice or likeness of the specific individuals appearing or speaking in such materials and data (a “deep-fake”). To the extent this paragraph is inconsistent with the CC-BY-4.0 license, the terms of this paragraph shall govern. By downloading or using any of this material or data, you agree that the Project makes no representations or warranties in respect of the data, and shall have no liability in respect thereof. These disclaimers and limitations are in addition to any disclaimers and limitations set forth in the CC-BY-4.0 license itself. You understand that the project is only able to make available the materials and data pursuant to these disclaimers and limitations, and without such disclaimers and limitations the project would not be able to make available the materials and data for your use.' extra_gated_fields: I have read the license, and agree to its terms: checkbox --- # crowd-transcribe-v4 This is ivrit.ai's 4th crowd-sourced transcribed dataset release. It contains over 250 hours of volunteer-transcribed data, randomly selected from our *audio-vad* dataset of over 10,000 hours.