Update README.md

README.md

@@ -22,6 +22,8 @@ dataset_info:
     num_examples: 1812
   download_size: 327803775
   dataset_size: 331154128.73899996
+license:
+- cc0-1.0
 configs:
 - config_name: default
   data_files:
@@ -29,4 +31,102 @@ configs:
     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