Dataset_STT
This dataset is designed for speech-to-text (STT) tasks and contains audio files along with their corresponding transcripts for the Uzbek language. The dataset is organized into two main directories: one for the audio files and another for the transcript files. Each of these directories is further divided by language (uz) and by the data split: train, test, and validation.
Dataset Structure
Dataset_STT/ ├── audio/ │ ├── uz/ │ │ ├── test/ │ │ │ └── test.tar │ │ ├── train/ │ │ │ └── train.tar │ │ └── validation/ │ │ └── validation.tar ├── transcript/ │ ├── uz/ │ │ ├── test/ │ │ │ └── test.tsv │ │ ├── train/ │ │ │ └── train.tsv │ │ └── validation/ │ │ └── validation.tsv
Files Description
Audio Files (
*.tar):
The audio files are provided as tar archives containing the actual audio data.audio/uz/train/train.tar: Training audio files.audio/uz/test/test.tar: Testing audio files.audio/uz/validation/validation.tar: Validation audio files.
Transcript Files (
*.tsv):
The transcript files are in TSV (Tab-Separated Values) format and contain the text transcriptions corresponding to the audio data.transcript/uz/train/train.tsv: Training transcripts.transcript/uz/test/test.tsv: Testing transcripts.transcript/uz/validation/validation.tsv: Validation transcripts.
How to Load the Dataset
You can load this dataset using the Hugging Face datasets library. For example:
from datasets import load_dataset
# Load the dataset from the Hub
dataset = load_dataset("Elyordev/Dataset_STT")
print(dataset)