CORAA-MUPE-ASR: 289 Life Story Interviews in Portuguese

289 life story interviews totaling 365 hours of audio, collected by nilc-nlp. The dataset features a broad range of speakers varying in age, education, and regional accents. It was last updated on the Hugging Face platform on July 17, 2025.

Use Cases

• Train automatic speech recognition models based on conversational Portuguese audio.
• Benchmark ASR system performance on diverse accents and age groups mentioned in the description.
• Study speaker diarization based on the provided speaker_type metadata (interviewee vs. interviewer).
• Analyze sociolinguistic patterns in life stories based on speaker metadata like age and education.

Strengths

• Contains 365 hours of audio data across 289 interviews.
• Includes speaker metadata such as gender, type (interviewee/interviewer), and a unique speaker code.
• Features a broad range of speakers varying in age, education, and regional accents.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• Freshness should be verified as the last update timestamp is provided but update frequency is unknown.

Provenance

Source

nilc-nlp on Hugging Face

Collection Method

Collection of life story interviews.

Freshness

Last updated 2025-07-17 19:59:04