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---
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](https://creativecommons.org/share-your-work/public-domain/cc0/)
### 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
## Dataset Card Contact
kim@gilkey.io |