BrunoHays/minds14-telephony-pt
MINDS-14 telephony — Portuguese (pt-PT) Processed banking IVR telephony speech derived from PolyAI/minds14 (pt-PT / 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: pt (locale pt-PT) Samples: 604 clips (~2.685 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-pt.
MINDS-14 telephony — Portuguese (pt-PT)
Processed banking IVR telephony speech derived from PolyAI/minds14 (pt-PT / 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:
pt(localept-PT) - Samples: 604 clips (~2.685 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
- Remaster PolyAI audio to OGG/Opus mono at native 8 kHz telephony.
- Schema columns:
original_transcription,processed_transcription,transcription. - Upstream text is Google ASR 1-best, not human GT (see paper / Hub card
annotations_creators: machine-generated). Kept immutable inoriginal_transcription. - Remaster reference:
processed_transcription/transcription= Gemini 3.5 Transcribe on every kept clip. - Drops: noise-only legacy GT stubs, empty Gemini hypotheses, and wrong spoken language (e.g. English audio in a non-English split). Dropped here: 0 clips / 0.000 h.
Dataset structure
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).
