Datasetpublic

artmelancholy/golos_mfa_punctuation_long

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… See the full description on the dataset page: https://huggingface.co/datasets/artmelancholy/golos_mfa_punctuation_long.

sourceHugging Faceotherupdated 4mo agoView on Hugging Face

1likes18downloads

Dataset Card

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/golosmfapunctuation_long>

See that repo for the source code, CLI flags, and reproduction instructions.

Usage

Load with `datasets`

python

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.