Meedies Asr Human Labels: Speech Data with Annotations

Meedies Asr Human Labels is a dataset published on the HuggingFace platform by an author named Meddies. The dataset appears to contain human-labeled data, likely for training or evaluating automatic speech recognition systems. Its last recorded update was on June 30, 2026.

Use Cases

• Training an ASR model on human-annotated audio transcripts (inferred from domain, verify after download)
• Evaluating the performance of speech-to-text systems against a labeled benchmark (inferred from domain, verify after download)
• Fine-tuning a pre-trained language model for specific acoustic conditions or vocabularies (inferred from domain, verify after download)

Strengths

• Published on the HuggingFace platform, facilitating access and integration with common ML tools.
• Last updated on 2026-06-30 17:06:51, suggesting recent maintenance.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column definitions are unknown, which may limit suitability assessment.
• License information is absent, which may restrict usage.

Provenance

Source

HuggingFace

Freshness

Last updated 2026-06-30 17:06:51.