Multilingual Audio Corpus of 100K Hours for Speech Recognition

Complete Data Source 100K Hours is a multilingual audio dataset containing approximately 100,000 hours of speech. It was uploaded by RidheshBhati to Hugging Face and last updated on April 17, 2026. The dataset is organized with a fixed schema to support audio playback across different language configurations.

Use Cases

• Training multilingual speech recognition models based on the described 100K hours of audio.
• Fine-tuning ASR systems for specific languages based on the dataset's language configurations.
• Benchmarking audio player compatibility across languages based on the described fixed schema mapping.

Strengths

• Approximately 100,000 hours of audio data, indicating a large scale.
• Explicitly organized for multilingual support, covering multiple languages.
• Fixed schema mapping designed to ensure audio player compatibility across divisions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and specific file formats are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

RidheshBhati (via Hugging Face)

Collection Method

Multi-language audio ingestion, method details unspecified.

Time Range

null

Freshness

Last updated 2026-04-17 05:51:21; freshness should be verified.

Geography

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