---
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