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  1. dataset_info.json +32 -0
  2. readme.md +48 -0
dataset_info.json ADDED
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+ {
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+ "description": "This dataset is designed for speech-to-text tasks and contains audio files stored in tar archives along with corresponding transcript files in TSV format. The data is organized for the Uzbek language and split into train, test, and validation sets.",
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+ "homepage": "https://huggingface.co/datasets/Elyordev/Dataset_STT",
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+ "license": "MIT",
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+ "splits": {
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+ "train": {
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+ "name": "train",
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+ "num_bytes": 0,
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+ "num_examples": 0
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+ },
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+ "test": {
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+ "name": "test",
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+ "num_bytes": 0,
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+ "num_examples": 0
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+ },
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+ "validation": {
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+ "name": "validation",
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+ "num_bytes": 0,
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+ "num_examples": 0
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+ }
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+ },
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+ "features": {
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+ "audio": {
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+ "dtype": "string",
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+ "description": "Audio files are stored as tar archives containing the actual audio data."
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+ },
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+ "transcript": {
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+ "dtype": "string",
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+ "description": "Transcript files in TSV format containing the corresponding transcriptions for the audio data."
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+ }
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+ }
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+ }
readme.md ADDED
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+ # Dataset_STT
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+
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+ 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`.
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+
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+ ## Dataset Structure
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+
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+ Dataset_STT/
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+ β”œβ”€β”€ audio/
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+ β”‚ β”œβ”€β”€ uz/
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+ β”‚ β”‚ β”œβ”€β”€ test/
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+ β”‚ β”‚ β”‚ └── test.tar
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+ β”‚ β”‚ β”œβ”€β”€ train/
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+ β”‚ β”‚ β”‚ └── train.tar
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+ β”‚ β”‚ └── validation/
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+ β”‚ β”‚ └── validation.tar
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+ β”œβ”€β”€ transcript/
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+ β”‚ β”œβ”€β”€ uz/
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+ β”‚ β”‚ β”œβ”€β”€ test/
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+ β”‚ β”‚ β”‚ └── test.tsv
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+ β”‚ β”‚ β”œβ”€β”€ train/
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+ β”‚ β”‚ β”‚ └── train.tsv
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+ β”‚ β”‚ └── validation/
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+ β”‚ β”‚ └── validation.tsv
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+
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+ ## Files Description
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+
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+ - **Audio Files (`*.tar`):**
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+ The audio files are provided as tar archives containing the actual audio data.
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+ - `audio/uz/train/train.tar`: Training audio files.
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+ - `audio/uz/test/test.tar`: Testing audio files.
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+ - `audio/uz/validation/validation.tar`: Validation audio files.
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+
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+ - **Transcript Files (`*.tsv`):**
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+ The transcript files are in TSV (Tab-Separated Values) format and contain the text transcriptions corresponding to the audio data.
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+ - `transcript/uz/train/train.tsv`: Training transcripts.
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+ - `transcript/uz/test/test.tsv`: Testing transcripts.
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+ - `transcript/uz/validation/validation.tsv`: Validation transcripts.
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+
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+ ## How to Load the Dataset
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+
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+ You can load this dataset using the Hugging Face [datasets](https://huggingface.co/docs/datasets/) library. For example:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load the dataset from the Hub
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+ dataset = load_dataset("Elyordev/Dataset_STT")
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+ print(dataset)