Abduqayum/Uzbek-STT-Dataset-780h

Uzbek STT Dataset (~780 hours)

A large Uzbek speech-to-text dataset for training and fine-tuning automatic speech recognition (ASR) models such as Whisper.

Dataset summary

Language	Uzbek (uz)
Examples	122,464
Total audio	~780 hours
Clip length	up to 30 seconds each
Columns	audio, transcription
Audio	embedded in parquet, original sample rates (e.g. 44.1 kHz / 16 kHz), mono/stereo as recorded
Split	single train split (split it yourself as needed)

Audio is sourced from Uzbek audiobooks, podcasts, and tech/IT talks.

⚠️ Transcription quality

Transcriptions were generated automatically using Google Gemini. The majority are accurate, but because they are model-generated, some clips may contain minor word-level errors (a misheard or incorrect word here and there).

Treat the labels as high-quality but not perfect. For quality-sensitive applications you may want to apply light filtering or spot-checking. The dataset is well suited for fine-tuning ASR models, where a small amount of label noise is generally tolerable.

Usage

from datasets import load_dataset

ds = load_dataset("Abduqayum/Uzbek-STT-Dataset-780h", split="train")

print(ds)
print(ds[0]["transcription"])

audio = ds[0]["audio"]
print(audio["sampling_rate"], audio["array"].shape)

Stream without downloading everything (~59 GB)

ds = load_dataset("Abduqayum/Uzbek-STT-Dataset-780h", split="train", streaming=True)
for example in ds:
    text = example["transcription"]
    wav  = example["audio"]["array"]
    sr   = example["audio"]["sampling_rate"]
    break

Resample to 16 kHz (e.g. for Whisper)

from datasets import Audio

ds = ds.cast_column("audio", Audio(sampling_rate=16000))

Make your own train/validation split

split = ds.train_test_split(test_size=0.02, seed=42)
train_ds, valid_ds = split["train"], split["test"]

Licensing & intended use

The audio originates from third-party sources (audiobooks, podcasts, talks) and may be subject to their respective copyrights. This dataset is shared for research and educational purposes. You are responsible for ensuring your use complies with applicable rights and local law.

Citation

If you use this dataset, please credit:

Abduqayum, Uzbek STT Dataset (~780h), Hugging Face, 2026.
https://huggingface.co/datasets/Abduqayum/Uzbek-STT-Dataset-780h