| What is the language balance of the model validation data? |
en-US: 37.85%, es-US: 10.45%, ko-KR: 8.73%, ru-RU: 6.85%, ar-AR: 6.11%, de-DE: 5.62%, fr-FR: 4.97%, hi-IN: 4.96%, it-IT: 4.54%, pt-BR: 3.79%, ja-JP: 3.05%, es-ES: 2.05%, en-GB: 1.03% |
| What is the geographic origin language balance of the model validation data? |
North America: 45.75%, Europe: 27.47%, Asia: 16.1%, Middle East: 7.2%, South America: 3.5% |
| What is the accent balance of the model validation data? |
en-US: 37.85%, es-US: 10.45%, ko-KR: 8.73%, ru-RU: 6.85%, ar-AR: 6.11%, de-DE: 5.62%, fr-FR: 4.97%, hi-IN: 4.96%, it-IT: 4.54%, pt-BR: 3.79%, ja-JP: 3.05%, es-ES: 2.05%, en-GB: 1.03% |
| Participation considerations from adversely impacted groups (protected classes) in model design and testing: |
Age, Gender, Linguistic Background |
| Measures taken to mitigate against unwanted bias: |
Used a custom dataset to evaluate model performance across genders, age groups, and linguistic backgrounds. |
