YodaLingua
Collection
A collection of high-quality speech datasets with transcripts in multiple languages.
•
2 items
•
Updated
You need to agree to share your contact information to access this dataset
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
Get access this dataset by contacting me via email: [email protected]
Log in or Sign Up to review the conditions and access this dataset content.
YodaLingua-Polish
YodaLingua is a high-quality speech dataset designed for training text-to-speech (TTS) systems, ASR models, and any application requiring clean, well-aligned audio–text pairs.
This release contains the Polish portion of the multilingual YodaLingua collection.
🧾 Dataset Overview
| Property | Value |
|---|---|
| Total clips | 329,740 audio–transcription pairs |
| Total duration | 893 hours |
| Speakers | 11,357 distinct speakers |
| Audio format | MP3 • mono • 24 kHz • 16-bit |
| License | Permissive — commercial use allowed |
All audio clips are noise-reduced, normalized, and matched with accurate transcriptions.
🌍 Multilingual Versions
Other languages are available in the YodaLingua multilingual collection:
👉 https://huggingface.co/collections/Thomcles/yodalingua
We apply a multi-stage pipeline to ensure maximum data quality:
1. Standardization
- Convert to WAV
- Mono channel
- Resample to 24 kHz
- 16-bit sample width
- Normalize to –20 dBFS (with volume correction between –3 and +3 dB)
2. Noise Reduction
Advanced denoising applied to improve clarity and remove background artifacts.
3. Speaker Diarization
Segment long recordings by speaker to improve diversity and ensure speaker-consistent utterances.
4. Voice Activity Detection (VAD)
Merge consecutive VAD segments from the same speaker into clean utterances of 3–30 s.
5. Transcription
State-of-the-art ASR models produce accurate text transcripts.
6. Quality Filtering
Clips are filtered using DNSMOS P.835 OVRL; only samples with a score > 3.0 are retained.
📚 Loading the Dataset
from datasets import load_dataset
ds = load_dataset("Thomcles/YodaLingua-Polish")
Contact
e-mail : [email protected]
- Downloads last month
- 28