dataset_info:
features:
- name: client_id
dtype: string
- name: audio
dtype: audio
- name: sentence
dtype: string
- name: age
dtype: string
- name: gender
dtype: string
- name: accent
dtype: string
splits:
- name: train
num_bytes: 254499181.875
num_examples: 6075
- name: test
num_bytes: 76654946.864
num_examples: 1812
download_size: 327803775
dataset_size: 331154128.73899996
license:
- cc0-1.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
task_categories:
- audio-classification
- automatic-speech-recognition
language:
- en
pretty_name: Inclusive Voice
size_categories:
- 1K<n<10K
Dataset Card for Inclusive Voice
A dataset curated from Mozilla Common Voice containing equal representation from male, female, and other
Dataset Details
Dataset Description
- Curated by: Kim Gilkey
- Language(s) (NLP): English
- License: Public Domain, CC-0
Dataset Sources
Mozilla Common Voice
- Homepage: https://commonvoice.mozilla.org/en/datasets
- Repository: https://github.com/common-voice/common-voice
- Paper: https://arxiv.org/abs/1912.06670
Uses
Direct Use
This dataset is intended for use in training and evaluating voice recognition models, particularly for applications in gender classification.
Out-of-Scope Use
The dataset is not suitable for applications requiring a wide range of dialects or non-English languages. It is also not designed for identifying fine-grained demographic characteristics beyond gender. You agree not to attempt to identify the individuals in the dataset.
Dataset Structure
Data Fields
- client_id: A unique identifier for each participant.
- audio: Audio recording of a spoken sentence.
- sentence: The text content of the audio recording.
- age: Categorical age group of the participant.
- gender: Gender of the participant (balanced representation).
- accent: Accent information of the participant, if available.
Splits
- Train: 6,075 examples (2,025 of each gender).
- Test: 1,812 examples (604 of each gender).
Dataset Creation
Curation Rationale
The dataset was specifically curated to address gender imbalance in voice recognition datasets, aiming to provide a balanced representation of male, female, and non-binary voices.
Source Data
Data Collection and Processing
Derived from Mozilla's Common Voice project, the dataset underwent additional processing to balance gender representation and limit the dominance of any single voice.
Bias, Risks, and Limitations
Despite efforts to balance gender representation, the dataset may still have biases, such as over-representation of certain accents or age groups. It's not comprehensive in representing all possible variations in English speech. Since the original dataset contains relatively few female and even fewer non-binary voices, the dataset becomes quite small when filtered down.
Citation
The original Common Voice citation:
@inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
pages = {4211--4215},
year = 2020
}
Dataset Card Authors
Kim Gilkey