---
license: mit
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
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
  splits:
  - name: train
    num_bytes: 311329776.61350644
    num_examples: 658629
  - name: validation
    num_bytes: 4736586.987272201
    num_examples: 10030
  download_size: 142391226
  dataset_size: 316066363.60077864
---
Here's a refined and paraphrased version of your dataset description to make it clearer and more efficient:

---

## Description

- **Total Audio Files**: **673,659**
- **Total Audio Length**: **856.20 hours**
- **Total Audio Collected Data**: 18 OCT, 2024

---

### **Department-wise Statistics** (After Removal)

| Department | Number of Audio Files | Total Audio Length (hours) |
|------------|-----------------------|----------------------------|
| **STT_AB** | 174,525               | 224.92                     |
| **STT_HS** | 87,088                | 96.27                      |
| **STT_NS** | 241,007               | 318.28                     |
| **STT_NW** | 97,145                | 137.82                     |
| **STT_PC** | 73,894                | 78.90                      |

---


### Summary:

After removing the departments `STT_MV`, `STT_CS`, and `STT_TT`, the dataset now contains:

- **673,659** total audio files
- **856.20 hours** of total audio length



---

# Dataset Statistics

## Configuration: `default`

### Split: `train`

**Total Rows**: 658,629

#### `dept`

- **Type**: categorical
- **Data Type**: `object`
- **Unique Values**: 5

**Value Distribution:**

| Value | Count | Percentage |
|-------|-------|------------|
| `STT_NS` | 236,407 | 35.89% |
| `STT_AB` | 170,922 | 25.95% |
| `STT_NW` | 94,703 | 14.38% |
| `STT_HS` | 84,797 | 12.87% |
| `STT_PC` | 71,800 | 10.90% |

#### `grade`

- **Type**: numerical
- **Data Type**: `int64`
- **Sum**: 1,868,909.00
- **Average**: 2.84

#### `char_len`

- **Type**: numerical
- **Data Type**: `int64`
- **Sum**: 56,512,069.00
- **Average**: 85.80

#### `audio_len`

- **Type**: numerical
- **Data Type**: `float64`
- **Sum**: 3,021,517.13
- **Average**: 4.59

---

### Split: `validation`

**Total Rows**: 10,030

#### `dept`

- **Type**: categorical
- **Data Type**: `object`
- **Unique Values**: 5

**Value Distribution:**

| Value | Count | Percentage |
|-------|-------|------------|
| `STT_NS` | 3,600 | 35.89% |
| `STT_AB` | 2,603 | 25.95% |
| `STT_NW` | 1,442 | 14.38% |
| `STT_HS` | 1,291 | 12.87% |
| `STT_PC` | 1,094 | 10.91% |

#### `grade`

- **Type**: numerical
- **Data Type**: `int64`
- **Sum**: 28,472.00
- **Average**: 2.84

#### `char_len`

- **Type**: numerical
- **Data Type**: `int64`
- **Sum**: 866,463.00
- **Average**: 86.39

#### `audio_len`

- **Type**: numerical
- **Data Type**: `float64`
- **Sum**: 46,381.25
- **Average**: 4.62

---