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--- |
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dataset_info: |
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features: |
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- name: file_name |
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dtype: string |
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- name: uni |
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dtype: string |
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- name: wylie |
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dtype: string |
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- name: url |
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dtype: string |
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- name: dept |
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dtype: string |
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- name: grade |
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dtype: int64 |
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- name: char_len |
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dtype: int64 |
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- name: audio_len |
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dtype: float64 |
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splits: |
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- name: train |
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num_bytes: 643815905 |
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num_examples: 1362015 |
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- name: validation |
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num_bytes: 9795243 |
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num_examples: 20742 |
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download_size: 272350154 |
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dataset_size: 653611148 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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--- |
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--- |
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# STT Training Data |
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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. |
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## Dataset Overview |
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- **Total Audio Files**: 1,391,020 |
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- **Total Audio Length**: 1,576.76 hours |
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- **Total Audio collected data**: 18 OCT, 2024 |
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## Department-wise Statistics |
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| Department | Number of Audio Files | Total Audio Length (hours) | |
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|------------|-----------------------|----------------------------| |
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| STT_AB | 174,525 | 224.92 | |
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| STT_CS | 150,310 | 219.51 | |
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| STT_HS | 87,088 | 96.27 | |
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| STT_MV | 112,756 | 193.27 | |
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| STT_NS | 241,007 | 318.28 | |
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| STT_NW | 97,145 | 137.82 | |
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| STT_PC | 73,894 | 78.90 | |
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| STT_TT | 454,295 | 307.78 | |
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## Total Audio Length by Department |
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The total audio length of each department in hours: |
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- **STT_AB**: 224.92 hours |
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- **STT_CS**: 219.51 hours |
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- **STT_HS**: 96.27 hours |
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- **STT_MV**: 193.27 hours |
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- **STT_NS**: 318.28 hours |
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- **STT_NW**: 137.82 hours |
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- **STT_PC**: 78.90 hours |
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- **STT_TT**: 307.78 hours |
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## Total Audio Length |
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The combined audio length across all departments is **1,576.76 hours**. |
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--- |
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# Dataset Statistics |
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## Configuration: `default` |
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### Split: `train` |
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**Total Rows**: 1,362,015 |
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#### `dept` |
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- **Type**: categorical |
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- **Data Type**: `object` |
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- **Unique Values**: 8 |
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**Value Distribution:** |
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| Value | Count | Percentage | |
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|-------|-------|------------| |
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| `STT_TT` | 446,495 | 32.78% | |
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| `STT_NS` | 236,407 | 17.36% | |
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| `STT_AB` | 170,922 | 12.55% | |
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| `STT_CS` | 146,811 | 10.78% | |
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| `STT_MV` | 110,080 | 8.08% | |
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| `STT_NW` | 94,703 | 6.95% | |
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| `STT_HS` | 84,797 | 6.23% | |
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| `STT_PC` | 71,800 | 5.27% | |
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#### `grade` |
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- **Type**: numerical |
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- **Data Type**: `int64` |
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- **Sum**: 3,963,451.00 |
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- **Average**: 2.91 |
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#### `char_len` |
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- **Type**: numerical |
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- **Data Type**: `int64` |
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- **Sum**: 100,478,335.00 |
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- **Average**: 73.77 |
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#### `audio_len` |
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- **Type**: numerical |
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- **Data Type**: `float64` |
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- **Sum**: 5,565,673.28 |
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- **Average**: 4.09 |
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--- |
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### Split: `validation` |
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**Total Rows**: 20,742 |
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#### `dept` |
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- **Type**: categorical |
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- **Data Type**: `object` |
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- **Unique Values**: 8 |
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**Value Distribution:** |
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| Value | Count | Percentage | |
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|-------|-------|------------| |
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| `STT_TT` | 6,800 | 32.78% | |
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| `STT_NS` | 3,600 | 17.36% | |
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| `STT_AB` | 2,603 | 12.55% | |
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| `STT_CS` | 2,236 | 10.78% | |
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| `STT_MV` | 1,676 | 8.08% | |
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| `STT_NW` | 1,442 | 6.95% | |
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| `STT_HS` | 1,291 | 6.22% | |
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| `STT_PC` | 1,094 | 5.27% | |
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#### `grade` |
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- **Type**: numerical |
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- **Data Type**: `int64` |
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- **Sum**: 60,359.00 |
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- **Average**: 2.91 |
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#### `char_len` |
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- **Type**: numerical |
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- **Data Type**: `int64` |
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- **Sum**: 1,528,005.00 |
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- **Average**: 73.67 |
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#### `audio_len` |
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- **Type**: numerical |
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- **Data Type**: `float64` |
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- **Sum**: 84,598.37 |
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- **Average**: 4.08 |
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--- |
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