Datasets:
metadata
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.