Datasets:
MediMind R11 — ASR training data
Unified manifest + packed audio for fine-tuning Whisper-large-v3 on Norwegian clinical and conversational speech.
- Training manifest:
r11_manifest.jsonl— 11,022 packs - Held-out eval set:
r11_heldout_eval.jsonl— 291 packs (NEVER train on these) - ~see manifest audit packs total
- 11 sources: lege_*, podcasts (motiv/podk/stet), nb_samtale, nb_tale_m3, tts_drugs
Schema
See r11_manifest.jsonl (one JSON object per line) and
DATA_PREP_RUNBOOK.md (private repo) for full provenance.
{
"audio_filepath": "audio/<source>/<file>.wav", // repo-relative
"audio_duration": float,
"text": "...", // with <|t|> if has_timestamps=True
"has_timestamps": bool,
"prev_text": "...",
"has_prev": bool,
"source": "lege_05" | "nb_samtale" | "tts_drugs" | ...,
"group_id": "<consultation/episode/file id>",
"tier": "t1" | "t2" | "t4",
"segment_boundaries": [{"start_s": float, "end_s": float, "text": str}, ...]
}
Usage on a pod
huggingface-cli download gallip0li/medimind-r11-train --repo-type=dataset --local-dir /workspace/r11_data
# audio paths in r11_manifest.jsonl resolve to /workspace/r11_data/audio/<source>/<file>.wav
License
CC-BY-4.0. Synthetic + simulated medical content; no real patient data.
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