---
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: 643815905
    num_examples: 1362015
  - name: validation
    num_bytes: 9795243
    num_examples: 20742
  download_size: 272350154
  dataset_size: 653611148
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
---

---

# STT Training Data

This dataset is prepared for Speech-to-Text (STT) training. It contains audio files from different departments, each annotated with their transcription. The dataset is split by department and includes the duration of audio data per department.

## Dataset Overview

- **Total Audio Files**: 1,391,020
- **Total Audio Length**: 1,576.76 hours
- **Total Audio collected data**: 18 OCT, 2024

## Department-wise Statistics

| Department | Number of Audio Files | Total Audio Length (hours) |
|------------|-----------------------|----------------------------|
| STT_AB     | 174,525               | 224.92                     |
| STT_CS     | 150,310               | 219.51                     |
| STT_HS     | 87,088                | 96.27                      |
| STT_MV     | 112,756               | 193.27                     |
| STT_NS     | 241,007               | 318.28                     |
| STT_NW     | 97,145                | 137.82                     |
| STT_PC     | 73,894                | 78.90                      |
| STT_TT     | 454,295               | 307.78                     |

## Total Audio Length by Department

The total audio length of each department in hours:

- **STT_AB**: 224.92 hours
- **STT_CS**: 219.51 hours
- **STT_HS**: 96.27 hours
- **STT_MV**: 193.27 hours
- **STT_NS**: 318.28 hours
- **STT_NW**: 137.82 hours
- **STT_PC**: 78.90 hours
- **STT_TT**: 307.78 hours

## Total Audio Length

The combined audio length across all departments is **1,576.76 hours**.


---

# Dataset Statistics

## Configuration: `default`

### Split: `train`

**Total Rows**: 1,362,015

#### `dept`

- **Type**: categorical
- **Data Type**: `object`
- **Unique Values**: 8

**Value Distribution:**

| Value | Count | Percentage |
|-------|-------|------------|
| `STT_TT` | 446,495 | 32.78% |
| `STT_NS` | 236,407 | 17.36% |
| `STT_AB` | 170,922 | 12.55% |
| `STT_CS` | 146,811 | 10.78% |
| `STT_MV` | 110,080 | 8.08% |
| `STT_NW` | 94,703 | 6.95% |
| `STT_HS` | 84,797 | 6.23% |
| `STT_PC` | 71,800 | 5.27% |

#### `grade`

- **Type**: numerical
- **Data Type**: `int64`
- **Sum**: 3,963,451.00
- **Average**: 2.91

#### `char_len`

- **Type**: numerical
- **Data Type**: `int64`
- **Sum**: 100,478,335.00
- **Average**: 73.77

#### `audio_len`

- **Type**: numerical
- **Data Type**: `float64`
- **Sum**: 5,565,673.28
- **Average**: 4.09

---

### Split: `validation`

**Total Rows**: 20,742

#### `dept`

- **Type**: categorical
- **Data Type**: `object`
- **Unique Values**: 8

**Value Distribution:**

| Value | Count | Percentage |
|-------|-------|------------|
| `STT_TT` | 6,800 | 32.78% |
| `STT_NS` | 3,600 | 17.36% |
| `STT_AB` | 2,603 | 12.55% |
| `STT_CS` | 2,236 | 10.78% |
| `STT_MV` | 1,676 | 8.08% |
| `STT_NW` | 1,442 | 6.95% |
| `STT_HS` | 1,291 | 6.22% |
| `STT_PC` | 1,094 | 5.27% |

#### `grade`

- **Type**: numerical
- **Data Type**: `int64`
- **Sum**: 60,359.00
- **Average**: 2.91

#### `char_len`

- **Type**: numerical
- **Data Type**: `int64`
- **Sum**: 1,528,005.00
- **Average**: 73.67

#### `audio_len`

- **Type**: numerical
- **Data Type**: `float64`
- **Sum**: 84,598.37
- **Average**: 4.08

---