---
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")