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configs:
- config_name: ru
data_files:
- split: train
path: corpus/ru.train.clean.jsonl
- split: eval
path: corpus/ru.eval.clean.jsonl
- config_name: ru-5000h
data_files:
- split: train
path: corpus/ru.train.coverage-5000h.jsonl
- split: eval
path: corpus/ru.eval.clean.jsonl
- config_name: audio-aadonis_multilingual_audio_alignments__ru
data_files:
- split: train
path: audio/aadonis_multilingual_audio_alignments__ru/*/part-*.parquet
- config_name: audio-common_voice_21_ru
data_files:
- split: train
path: audio/common_voice_21_ru/*/part-*.parquet
- config_name: audio-d3vastated_common_voice_ru_en__ru
data_files:
- split: train
path: audio/d3vastated_common_voice_ru_en__ru/*/part-*.parquet
- config_name: audio-dialogs
data_files:
- split: train
path: audio/dialogs/*/part-*.parquet
- config_name: audio-dusha_crowd
data_files:
- split: train
path: audio/dusha_crowd/*/part-*.parquet
- config_name: audio-espnet_yodas_granary__ru
data_files:
- split: train
path: audio/espnet_yodas_granary__ru/*/part-*.parquet
- config_name: audio-fleurs_ru
data_files:
- split: train
path: audio/fleurs_ru/*/part-*.parquet
- config_name: audio-golos
data_files:
- split: train
path: audio/golos/*/part-*.parquet
- config_name: audio-rmndrnts_common_voice_ru_noised__default
data_files:
- split: train
path: audio/rmndrnts_common_voice_ru_noised__default/*/part-*.parquet
- config_name: audio-ru_audiobooks_devices
data_files:
- split: train
path: audio/ru_audiobooks_devices/*/part-*.parquet
- config_name: audio-rudevices_audio_records
data_files:
- split: train
path: audio/rudevices_audio_records/*/part-*.parquet
- config_name: audio-ruls
data_files:
- split: train
path: audio/ruls/*/part-*.parquet
- config_name: audio-ruslan
data_files:
- split: train
path: audio/ruslan/*/part-*.parquet
ru cleaned speech corpus
This refresh provides a converged full train manifest, a frozen eval manifest, and a token-coverage subset of approximately 5000 hours. The validated FLAC payloads are reused without decoding or transcoding. Completely referenced Parquet shards are hard-linked locally; partial shards are filtered into exact row-only Parquet files.
Corpus overview
| Variant | Rows | Hours |
|---|---|---|
| train | 4,650,979 | 4465.559 |
| coverage_5000h | 4,304,751 | 3879.927 |
| eval | 1,563 | 2.013 |
All audio locators are portable and have the form
audio/<subset>/<group>/part-N.parquet#row=N.
The release audit records exact input/output hashes, rejected audio mappings, language-tag validation, and zero train/eval audio-identity overlap.
from datasets import load_dataset
ds = load_dataset("YuKuanFu/ru", "ru-5000h", split="train")
Coverage-size note
The completed strict eligible pool contains 3,880.000 source hours and could not reach 5,000 hours. After packaging exclusions, the uploaded ru-5000h train contains 3,879.927 hours. The default configuration uses the larger conservative full-clean train manifest.
Packaging exclusions
Rows that could not be represented by the validated FLAC pool are omitted and recorded here rather than silently replaced:
| Variant | Rows | Hours | Reasons |
|---|---|---|---|
| train | 70 | 0.073172 | all_zero_audio: 70 |
| coverage_5000h | 70 | 0.073172 | all_zero_audio: 70 |