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README.md
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## Evaluation
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The model can be evaluated as follows on the following two datasets:
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1. Custom dataset created from 20% of Indic, IIITH and CV (test): 17.
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2. CommonVoice Hindi test dataset
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```python
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import torch
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## Evaluation
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The model can be evaluated as follows on the following two datasets:
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1. Custom dataset created from 20% of Indic, IIITH and CV (test): WER 17.xx%
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2. CommonVoice Hindi test dataset: WER 56.xx%
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Links to the datasets are provided above (check the links at the start of the README)
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train-test csv files are shared on the following gdrive links:
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a. IIITH [train](https://storage.googleapis.com/indic-dataset/train_test_splits/iiit_hi_train.csv) [test](https://storage.googleapis.com/indic-dataset/train_test_splits/iiit_hi_test.csv)
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b. Indic TTS [train](https://storage.googleapis.com/indic-dataset/train_test_splits/indic_train_full.csv) [test](https://storage.googleapis.com/indic-dataset/train_test_splits/indic_test_full.csv)
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Update the audio_path as per the
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```python
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import torch
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