| # Uzbek Speech Recognition (ASR) Dataset |
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| This is an Uzbek language speech recognition dataset created for training ASR models. |
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| ## Dataset Structure |
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| - **train**: Training data (80% of conversations) |
| - **validation**: Validation data (10% of conversations) |
| - **test**: Test data (10% of conversations) |
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| ## Audio Format |
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| - Sample Rate: 16 kHz |
| - Channels: Mono |
| - Bit Depth: 16-bit PCM |
| - Format: WAV |
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| ## Dataset Fields |
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| - `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 |
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| ## Dataset Statistics |
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| - **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) |
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| ## Important Notes |
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| - 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 |
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|
| # Load entire dataset |
| dataset = load_dataset('admin-euphoria/ASR_Dataset') |
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|
| # 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 |
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| - **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 |
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| ## Dataset Information |
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| - Last Updated: 2025-12-06T16:15:27.710995 |
| - Language: Uzbek (Latin script) |
| - Update Strategy: Incremental (append-only) |
| - License: [MIT: https://opensource.org/licenses/MIT] |
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| ## Contact |
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| [kkadyr039@gmail.com] |
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