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SLUE-SQA-5 HuBERT Layer-22 K=500 Discrete Units

Packed discrete-unit files for SpeechGR experiments on SLUE-SQA-5.

The units were produced with HuBERT layer 22 and a K=500 k-means model, then deduplicated with consecutive counts retained. The packed format avoids one .code and .cnt file per utterance.

Files

documents.npz: packed document/passage units
train.npz: packed train question units
validation.npz: packed validation question units
test.npz: packed test question units
verified_test.npz: packed verified test question units

Each archive contains:

ids: record ids
codes: all unit sequences concatenated
code_offsets, code_lengths: offsets into codes
counts: all consecutive-run counts concatenated
count_offsets, count_lengths: offsets into counts
text: optional transcript/passage metadata when available
doc_ids: question-to-document ids for question splits when available

Loading

Use unit_store.PackedUnitStore from the SpeechGR repository:

from unit_store import PackedUnitStore

store = PackedUnitStore("train.npz")
record_id = store.ids[0]
codes = store.get_code(record_id)
counts = store.get_counts(record_id)

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Total file size:

505 MB