# Uzbek Speech Recognition (ASR) Dataset

This is an Uzbek language speech recognition dataset created for training ASR models.

## Dataset Structure

- **train**: Training data (80% of conversations)
- **validation**: Validation data (10% of conversations)
- **test**: Test data (10% of conversations)

## Audio Format

- Sample Rate: 16 kHz
- Channels: Mono
- Bit Depth: 16-bit PCM
- Format: WAV

## Dataset Fields

- `audio`: Audio file (Audio feature, directly playable)
- `text`: Normalized text transcription in Uzbek (Latin script)
- `duration`: Duration of audio in seconds
- `language`: Language code (uzn_Latn for Uzbek Latin)
- `id`: Unique identifier for the segment
- `audio_id`: Identifier for the conversation/recording
- `segment_index`: Index of the segment within the conversation

## Dataset Statistics

- **Total conversations**: 8
- **Total segments**: 48
- **Total duration**: 0.08 hours
- **Train**: 38 segments (0.06 hours)
- **Validation**: 0 segments (0.0 hours)
- **Test**: 10 segments (0.02 hours)

## Important Notes

- Conversations are NOT split across train/validation/test sets
- Each conversation (audio_id) belongs entirely to one split
- This ensures proper model evaluation without data leakage
- Dataset is updated daily with new recordings (append-only)
- Once uploaded, segments are marked in database to prevent duplicates

## Usage

Load with datasets library:

```python
from datasets import load_dataset

# Load entire dataset
dataset = load_dataset('admin-euphoria/ASR_Dataset')

# Load specific split
train_dataset = load_dataset('admin-euphoria/ASR_Dataset', split='train')

# Access audio and text
for example in train_dataset:
    audio_array = example['audio']['array']
    sampling_rate = example['audio']['sampling_rate']
    text = example['text']
    print(f"Text: {text}, Duration: {example['duration']}s")
```

## Update Strategy

- **Daily building**: First script collects data from database daily
- **Incremental upload**: Second script uploads only new segments to HF
- **Database tracking**: ProcessedDataset table tracks uploaded segment_ids
- **No duplicates**: Segment_id uniqueness prevents re-uploading
- **Append-only**: Data is only added, never removed or modified

## Dataset Information

- Last Updated: 2025-12-06T16:15:27.710995
- Language: Uzbek (Latin script)
- Update Strategy: Incremental (append-only)
- License: [MIT: https://opensource.org/licenses/MIT]

## Contact

[kkadyr039@gmail.com]