| --- |
| dataset_info: |
| features: |
| - name: file_name |
| dtype: string |
| - name: uni |
| dtype: string |
| - name: wylie |
| dtype: string |
| - name: url |
| dtype: string |
| - name: dept |
| dtype: string |
| - name: grade |
| dtype: int64 |
| - name: char_len |
| dtype: int64 |
| - name: audio_len |
| dtype: float64 |
| - name: original_id |
| dtype: string |
| - name: strata |
| dtype: string |
| - name: __index_level_0__ |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 4017714 |
| num_examples: 6988 |
| - name: validation |
| num_bytes: 212173 |
| num_examples: 368 |
| download_size: 1451597 |
| dataset_size: 4229887 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| --- |
| |
| ## Dataset Structure |
|
|
| - **Features:** |
| - `file_name`: Name of the file. |
| - `uni`: Tibetan Unicode text. |
| - `wylie`: Wylie transliteration. |
| - `url`: Source URL. |
| - `dept`: Department or category. |
| - `grade`: Grade/class level. |
| - `char_len`: Number of characters. |
| - `audio_len`: Length of audio (seconds). |
| - `original_id`: Original document or audio ID. |
| - `strata`: Data strata or group. |
| - `__index_level_0__`: Index. |
|
|
| - **Splits:** `train`, `validation` |
|
|
| --- |
|
|
| ## 📊 Split-wise Statistics |
|
|
| | Split | # Samples | Total Char Length | Total Audio Length (hr) | |
| |--------|----------:|------------------:|-----------------------:| |
| | train | 6988 | 613604 | 10.5 | |
| | validation| 368 | 32462 | 0.56 | |
| | Total | 7356| 646066 |11.06 | |
|
|
| ## strata value counts: |
|
|
| | strata | train_count | validation_count | |
| |-------------------------|------------|------------------| |
| | 70-80__long__Teaching | 3064 | 161 | |
| | 70-80__medium__Teaching | 1347 | 71 | |
| | 80-90__long__Practice | 1011 | 53 | |
| | 70-80__long__Q&A | 635 | 34 | |
| | 70-80__long__Prayer | 593 | 31 | |
| | 70-80__medium__Prayer | 172 | 9 | |
| | 70-80__short__Teaching | 105 | 6 | |
| | 70-80__medium__Q&A | 61 | 3 | |
|
|
| ## 🚀 Usage |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("your_namespace/your_dataset", split="train") |
