| --- |
| dataset_info: |
| features: |
| - name: text |
| dtype: string |
| - name: lang |
| dtype: |
| class_label: |
| names: |
| '0': hi |
| - name: samples |
| dtype: int64 |
| - name: verbatim |
| dtype: string |
| - name: normalized |
| dtype: string |
| - name: speaker_id |
| dtype: string |
| - name: scenario |
| dtype: |
| class_label: |
| names: |
| '0': Extempore |
| '1': Read |
| - name: task_name |
| dtype: string |
| - name: gender |
| dtype: |
| class_label: |
| names: |
| '0': Female |
| '1': Male |
| '2': Other |
| - name: age_group |
| dtype: |
| class_label: |
| names: |
| '0': 18-30 |
| '1': 30-45 |
| '2': 45-60 |
| '3': 60+ |
| - name: job_type |
| dtype: |
| class_label: |
| names: |
| '0': Blue Collar |
| '1': Student |
| '2': Unemployed |
| '3': White Collar |
| - name: qualification |
| dtype: |
| class_label: |
| names: |
| '0': No Schooling |
| '1': Post Grad + PhD |
| '2': Undergrad and Grad. |
| '3': Upto 12th |
| - name: area |
| dtype: |
| class_label: |
| names: |
| '0': Rural |
| '1': Urban |
| - name: district |
| dtype: string |
| - name: state |
| dtype: |
| class_label: |
| names: |
| '0': Bihar |
| '1': Madhya Pradesh |
| '2': Rajasthan |
| '3': Uttar Pradesh |
| - name: occupation |
| dtype: string |
| - name: utterance_pitch_mean |
| dtype: float64 |
| - name: utterance_pitch_std |
| dtype: float64 |
| - name: snr |
| dtype: float64 |
| - name: c50 |
| dtype: float64 |
| - name: speaking_rate |
| dtype: float64 |
| - name: cer |
| dtype: string |
| - name: duration |
| dtype: float64 |
| - name: audio |
| dtype: audio |
| splits: |
| - name: train |
| num_bytes: 49252928026.428 |
| num_examples: 26318 |
| download_size: 46633803860 |
| dataset_size: 49252928026.428 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| task_categories: |
| - text-to-speech |
| language: |
| - hi |
| size_categories: |
| - 10K<n<100K |
| --- |
