crowd-transcribe-v4 / README.md
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---
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
---
**Note: If you are looking for our latest dataset and model, please refer to the main README here: https://huggingface.co./ivrit-ai.**
# 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.