Datasets:
idx int32 1 1.9k | audio audioduration (s) 48.9 108 | duration float32 48.9 108 | words listlengths 33 108 |
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End of preview. Expand in Data Studio
Golos MFA Punctuation (Long)
Long-form Russian speech derived from
govnejri/golos_mfa_punctuation.
Purpose
Most public Russian STT corpora ship as short clips (a few seconds each). For benchmarking long-form transcription, VAD, punctuation, and streaming behavior, you want minutes-long audio with reliable word-level alignments.
This dataset builds those long clips by splicing groups of consecutive short clips together, inserting randomized silences between them, and shifting the original word timestamps onto the new combined timeline.
Source
Built from the source dataset's sharded data/ directory (e.g.
data/train-00000-of-00034.parquet).
Schema
| field | type | description |
|---|---|---|
idx |
int32 |
1-based row index |
audio |
Audio (16 kHz mono WAV) |
spliced audio with randomized inter-clip silences. Optionally speechnorm- and/or loudnorm-filtered when those flags are passed at build time. |
duration |
float32 |
combined clip duration in seconds |
words |
list<{text: string, start: f32, end: f32}> |
word timings shifted onto the combined timeline |
How it was built
The build pipeline — which splices consecutive short clips, inserts randomized silences, and shifts word timestamps onto the combined timeline — lives in a separate repository:
https://github.com/artmelancholy/golos_mfa_punctuation_long
See that repo for the source code, CLI flags, and reproduction instructions.
Usage
Load with datasets
from datasets import load_dataset
ds = load_dataset("artmelancholy/golos_mfa_punctuation_long", split="train")
row = ds[0]
audio = row["audio"] # {"array": np.ndarray, "sampling_rate": 16000, "path": ...}
print(audio["array"].shape, audio["sampling_rate"], row["duration"], row["words"][:3])
Licensing
This repository contains derivative audio of the source dataset
govnejri/golos_mfa_punctuation; consult the source dataset card for its
licensing terms before redistribution.
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