|
--- |
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dataset_info: |
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features: |
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- name: client_id |
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dtype: string |
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- name: audio |
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dtype: audio |
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- name: sentence |
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dtype: string |
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- name: age |
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dtype: string |
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- name: gender |
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dtype: string |
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- name: accent |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 254499181.875 |
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num_examples: 6075 |
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- name: test |
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num_bytes: 76654946.864 |
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num_examples: 1812 |
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download_size: 327803775 |
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dataset_size: 331154128.73899996 |
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license: |
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- cc0-1.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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task_categories: |
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- audio-classification |
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- automatic-speech-recognition |
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language: |
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- en |
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pretty_name: Inclusive Voice |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Dataset Card for Inclusive Voice |
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A dataset curated from Mozilla Common Voice containing equal representation from male, female, and other |
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## Dataset Details |
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### Dataset Description |
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- **Curated by:** Kim Gilkey |
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- **Language(s) (NLP):** English |
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- **License:** Public Domain, [CC-0](https://creativecommons.org/share-your-work/public-domain/cc0/) |
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### Dataset Sources |
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Mozilla Common Voice |
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- **Homepage:** https://commonvoice.mozilla.org/en/datasets |
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- **Repository:** https://github.com/common-voice/common-voice |
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- **Paper:** https://arxiv.org/abs/1912.06670 |
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## Uses |
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### Direct Use |
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This dataset is intended for use in training and evaluating voice recognition models, particularly for applications in gender classification. |
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### Out-of-Scope Use |
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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. |
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You agree not to attempt to identify the individuals in the dataset. |
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## Dataset Structure |
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### Data Fields |
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- **client_id:** A unique identifier for each participant. |
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- **audio:** Audio recording of a spoken sentence. |
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- **sentence:** The text content of the audio recording. |
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- **age:** Categorical age group of the participant. |
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- **gender:** Gender of the participant (balanced representation). |
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- **accent:** Accent information of the participant, if available. |
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### Splits |
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- **Train:** 6,075 examples (2,025 of each gender). |
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- **Test:** 1,812 examples (604 of each gender). |
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## Dataset Creation |
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### Curation Rationale |
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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. |
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### Source Data |
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#### Data Collection and Processing |
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Derived from Mozilla's Common Voice project, the dataset underwent additional processing to balance gender representation and limit the dominance of any single voice. |
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## Bias, Risks, and Limitations |
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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. |
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Since the original dataset contains relatively few female and even fewer non-binary voices, the dataset becomes quite small when filtered down. |
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## Citation |
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The original Common Voice citation: |
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``` |
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@inproceedings{commonvoice:2020, |
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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.}, |
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title = {Common Voice: A Massively-Multilingual Speech Corpus}, |
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booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)}, |
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pages = {4211--4215}, |
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year = 2020 |
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} |
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``` |
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## Dataset Card Authors |
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Kim Gilkey |
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## Dataset Card Contact |
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kim@gilkey.io |
