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---
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
---
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