pengyizhou/IALP-2026-data
IALP-2026: Whisper Open-Set Data-Selection — Query / Dev / Test Sets Supporting data for the study "Whisper-Based Open-Set Data Selection for NSC Adaptation." This repository holds the fixed target-query, validation, and evaluation sets used across all experiments. Each part is a self-contained .tar.gz. All audio is 16 kHz mono. Each split ships with: audio/ — audio files (FLAC, except GigaSpeech which is WAV PCM_16) wav.scp — <utt_id> audio/<file> (Kaldi-style, relative paths)… See the full description on the dataset page: https://huggingface.co/datasets/pengyizhou/IALP-2026-data.
IALP-2026: Whisper Open-Set Data-Selection — Query / Dev / Test Sets
Supporting data for the study "Whisper-Based Open-Set Data Selection for NSC Adaptation." This repository holds the fixed target-query, validation, and evaluation sets used across all experiments. Each part is a self-contained .tar.gz.
All audio is 16 kHz mono. Each split ships with:
audio/— audio files (FLAC, except GigaSpeech which is WAV PCM_16)wav.scp—<utt_id> audio/<file>(Kaldi-style, relative paths)text—<utt_id> <transcript>utt2spk—<utt_id> <speaker_id>manifest.jsonl— one JSON per utterance:{id, speaker, duration, text, audio}
Parts
Split construction (NSC)
- Speaker is the 4th hyphen field of the utterance id (
imda-2021-part6-`00006`-channel001m-...). nsc_query_5h,nsc_dev_3h, andnsc_testare mutually speaker-disjoint. Query/dev speakers are sampled (seed=42) from shards spread across the corpus and exclude every speaker appearing in the officialtestpartition.- Query ≈ 111 speakers; dev ≈ 64 speakers.
Notes
- GigaSpeech
textis the standard normalized reference (punctuation tags removed, garbage-tagged segments filtered); it is the icefall/Kaldi test set. - Licensing follows the upstream corpora: NSC/IMDA (IMDA terms), GigaSpeech (
speechcolab/gigaspeechagreement), LibriSpeech (CC BY 4.0). Use is restricted to the respective original licenses.
Usage
tar xzf nsc-query.tar.gz # -> nsc_query_5h/{audio,wav.scp,text,utt2spk,manifest.jsonl}