Datasets:
Formats:
parquet
Sub-tasks:
speaker-identification
Languages:
French
Size:
10K - 100K
ArXiv:
DOI:
License:
Update README.md
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README.md
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### Speakers gender balance
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To increase the representativeness and inclusivity of the dataset, a deliberate effort was made to recruit a diverse and gender-balanced group of speakers
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### Speakers age balance
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To increase the representativeness and inclusivity of the dataset, a deliberate effort was made to recruit a diverse and gender-balanced group of speakers. The overall gender repartition in terms of number of speakers included in the dataset is **51.6% female participants / 48.4% male participants for all subsets**.
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