French Math ASR Benchmark by Lexia-Labs

Lexia-Labs published this French-language benchmark for automatic speech recognition on Hugging Face in February 2026. The dataset likely contains audio recordings of mathematical speech for evaluating ASR systems. Its specific content, size, and structure require verification after download.

Use Cases

• Benchmarking ASR model performance on French mathematical terminology (inferred from domain, verify after download)
• Training or fine-tuning speech models for educational or technical audio (inferred from domain, verify after download)
• Analyzing error patterns in transcribing specialized vocabulary (inferred from domain, verify after download)

Strengths

• Published on the Hugging Face platform.
• Authored by a named organization, Lexia-Labs.
• Last updated on 2026-02-12 14:32:27.

Limitations

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

Provenance

Source

Lexia-Labs

Collection Method

Likely a curated collection of audio recordings for benchmarking, but the specific gathering method is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last updated 2026-02-12 14:32:27; freshness should be verified.

Geography

Spatial coverage is unknown, but the language focus is French.