Court-audio ASR dataset: 38.6 h of English legal/court speech cut into
per-speaker segments, with speaker-disjoint train / validation / test splits.
⚠️ Pseudo-labels, not gold. Transcripts are produced by an automatic pipeline
not human annotation. Corpus WER vs an independent judge (nvidia/parakeet-rnnt-1.1b) is ~20%.
A per-segment confidence avg_score is provided; only segments with avg_score >= 0.4
are included. Filter further on segment_wer if you need… See the full description on the dataset page:
https://huggingface.co/datasets/vanarp/legal2023_38hrs.
