fleurs-pt-whispercpp-large-v3-batch

Audio

15 utterances · 189.66s total · 16000 Hz

Integrity

sha256: e9daf031e61f16b4524facc97be62e3638fb52f9b5576fea8ef3c584f61705fd

Full manifest

{
  "id": "fleurs-pt-whispercpp-large-v3-batch",
  "version": "1.0.0",
  "sha256": "e9daf031e61f16b4524facc97be62e3638fb52f9b5576fea8ef3c584f61705fd",
  "profile_id": "whispercpp-large-v3-pt-batch",
  "visibility": "open",
  "license": "CC-BY-4.0",
  "audio": {
    "count": 15,
    "total_duration_s": 189.66,
    "sample_rate_hz": 16000,
    "manifest_sha256": "bade120d2b4919388c5143299c9f4a9e983efa172ac9673579a418e4801bbd18",
    "source": {
      "type": "fleurs",
      "params": {
        "language": "pt_br",
        "split": "dev"
      },
      "fetch_instructions": "Identical audio to fleurs-pt-batch — auto-fetched the same way. Manual fallback: run `python scripts/fetch_fleurs_subset.py --language pt_br --pack-dir packs/fleurs-pt-batch`, then pass `--audio-dir packs/fleurs-pt-batch/audio` to `goesb run`."
    }
  },
  "metadata": {
    "language": "pt-BR",
    "recording_environment": "studio",
    "speech_style": "read",
    "transcription_style": "verbatim",
    "tags": [
      "fleurs",
      "pt"
    ]
  }
}