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BrunoHays/minds14-telephony-cs

MINDS-14 telephony — Czech (cs-CZ) Processed banking IVR telephony speech derived from PolyAI/minds14 (cs-CZ / related config). Credits & license Original corpus: PolyAI MInDS-14Gerz et al., 2021 — arXiv:2104.08524. License: CC BY-4.0 (commercial use allowed with attribution). Snapshot Language: cs (locale cs-CZ) Samples: 568 clips (~1.370 h) after GT remaster Audio: OGG/Opus mono, native 8 kHz telephony Split: all test (eval-only remaster;… See the full description on the dataset page: https://huggingface.co/datasets/BrunoHays/minds14-telephony-cs.

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Dataset Card

MINDS-14 telephony — Czech (cs-CZ)

Processed banking IVR telephony speech derived from PolyAI/minds14 (cs-CZ / related config).

Credits & license

Original corpus: PolyAI MInDS-14 Gerz et al., 2021 — arXiv:2104.08524.

License: CC BY-4.0 (commercial use allowed with attribution).

Snapshot

  • —Language: cs (locale cs-CZ)
  • —Samples: 568 clips (~1.370 h) after GT remaster
  • —Audio: OGG/Opus mono, native 8 kHz telephony
  • —Split: all test (eval-only remaster; upstream was train-only)
  • —Ordering: longest → shortest
  • —License: CC-BY-4.0

Processing applied

  1. 1.Remaster PolyAI audio to OGG/Opus mono at native 8 kHz telephony.
  2. 2.Schema columns: original_transcription, processed_transcription, transcription.
  3. 3.Upstream text is Google ASR 1-best, not human GT (see paper / Hub card annotations_creators: machine-generated). Kept immutable in original_transcription.
  4. 4.Remaster reference: processed_transcription / transcription = Gemini 3.5 Transcribe on every kept clip.
  5. 5.Drops: noise-only legacy GT stubs, empty Gemini hypotheses, and wrong spoken language (e.g. English audio in a non-English split). Dropped here: 6 clips / 0.026 h.

Dataset structure

fielddescription
audioOGG/Opus, 8 kHz mono telephony
audio_idstable sample id
licenseCC-BY-4.0
original_transcriptionupstream Google ASR 1-best (immutable)
processed_transcriptionGemini remaster transcript
transcriptionbest available (= processed)
dur / sample_rate / lang / splitmetadata
intent_class / rank / srcoptional extras when present

Notes

Short single-turn banking intents — useful as an 8 kHz telephony acoustic canary, not a long-form conversational bench. Contamination risk is high (widely used in training corpora).