CoRal V3: Danish Conversational and Read-Aloud Speech Dataset

CoRal V3 is an Automatic Speech Recognition dataset designed to capture the diversity of spoken Danish. The dataset, created by the CoRal-project, includes variations across dialects, accents, genders, and age groups. It was last updated on February 24, 2026.

Use Cases

• Train Automatic Speech Recognition models based on diverse Danish speech data.
• Benchmark ASR model performance across different Danish dialects and accents.
• Fine-tune speech models for conversational Danish based on the dataset's described content.
• Research sociolinguistic variation in Danish speech patterns based on demographic factors mentioned in the description.

Strengths

• Designed to capture diversity across Danish dialects, accents, genders, and age groups.
• Last updated on 2026-02-24, indicating recent maintenance.
• Platform tags indicate the dataset is categorized as containing 100K to 1M samples.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The full description and specific file formats are not provided in the input.

Provenance

Source

CoRal-project

Collection Method

Likely contains recorded conversational and read-aloud Danish speech.

Time Range

null

Freshness

Last updated 2026-02-24 10:08:44.

Geography

Denmark (inferred from focus on Danish language and dialects).