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README.md

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+---
+language:
+- km
+- en
+license: cc-by-nc-4.0
+task_categories:
+- automatic-speech-recognition
+- audio-classification
+tags:
+- khmer
+- cambodian
+- speech
+- transcription
+- multilingual
+size_categories:
+- 10K<n<100K
+---
+
+# khmer_speech_dataset
+
+Khmer speech dataset with transcriptions, speaker labels, and metadata.
+
+## Dataset Description
+
+This dataset contains Khmer (Cambodian) speech recordings with detailed transcriptions and annotations.
+
+### Dataset Statistics
+
+| Metric | Value |
+|--------|-------|
+| Total Examples | 9,285 |
+| Total Duration | 336.68 hours |
+| Average Duration | 130.54 seconds |
+| Total Words | 1,336,611 |
+| Khmer Words | 994,050 (74.4%) |
+| English Words | 340,127 (25.4%) |
+| Unique Sources | 2857 |
+| Unique Tags | 2092 |
+
+### Source Distribution
+
+| Source Type | Count |
+|-------------|-------|
+| youtube | 5,947 |
+| unknown | 16 |
+| conversation | 696 |
+| telegram | 2,626 |
+
+### Speaker Distribution
+
+| Speakers | Count | Duration (hours) |
+|----------|-------|------------------|
+| 0 | 2 | 0.00 (0.0%) |
+| 1 | 3,060 | 33.97 (10.1%) |
+| 2 | 2,855 | 137.80 (40.9%) |
+| 3 | 2,892 | 141.56 (42.0%) |
+| 4 | 387 | 18.99 (5.6%) |
+| 5 | 65 | 3.18 (0.9%) |
+| 6 | 16 | 0.78 (0.2%) |
+| 7 | 2 | 0.10 (0.0%) |
+| 8 | 5 | 0.25 (0.1%) |
+| 12 | 1 | 0.05 (0.0%) |
+
+### Top Tags
+
+| Tag | Count |
+|-----|-------|
+| overlapping | 5,982 |
+| laughing | 4,736 |
+| drag_tone | 3,705 |
+| fast | 3,337 |
+| mocking | 1,821 |
+| high_pitch | 1,792 |
+| shout | 1,597 |
+| frustrated | 1,163 |
+| smack_lips | 1,161 |
+| heavy_breathing | 961 |
+| whisper | 886 |
+| softly | 856 |
+| stutter | 726 |
+| serious | 664 |
+| normal | 638 |
+| sigh | 465 |
+| hesitant | 433 |
+| normal_tone | 428 |
+| panic | 423 |
+| thinking | 399 |
+
+## Dataset Structure
+
+### Data Fields
+
+- `audio`: Audio file path/bytes
+- `text_raw`: Raw transcription with speaker labels and tags
+- `text_clean`: Cleaned transcription (no tags, no speaker labels)
+- `duration_seconds`: Audio duration in seconds
+- `speaker_count`: Number of speakers in the audio
+- `speakers`: List of speaker IDs
+- `tags`: List of normalized annotation tags
+- `english_words`: Count of English words
+- `khmer_words`: Count of Khmer words
+- `total_words`: Total word count
+- `chunk_id`: Chunk index within original audio
+- `original_name`: Name of original audio file
+- `source_type`: Source type (telegram, youtube, conversation, unknown)
+- `source_folder`: Original folder name
+- `telegram_chat_id`: Telegram chat ID (if applicable)
+
+### Tag Categories
+
+- **Speech markers**: hesitant, thinking, confused, drag_tone, overlapping
+- **Audio markers**: music, low_quality, noise
+- **Language markers**: english, khmer
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load dataset
+dataset = load_dataset("path/to/dataset")
+
+# Access examples
+for example in dataset["train"]:
+    audio = example["audio"]
+    text = example["text_clean"]
+    print(f"Duration: {example['duration_seconds']:.2f}s")
+    print(f"Text: {text[:100]}...")
+```
+
+## License
+
+This dataset is released under CC-BY-NC-4.0 license.
+
+## Citation
+
+If you use this dataset, please cite:
+
+```
+@dataset{khmer_speech_dataset,
+  title={Khmer Speech Dataset},
+  year={2024},
+  url={https://huggingface.co/datasets/...}
+}
+```