Update README.md

README.md

@@ -41,7 +41,7 @@ More information needed
 
 ## Training and evaluation data
 ```python
-# datasets for each language it set {uz: Uzbek, en: English, ru: Russian}
+# datasets for each language from the set {uz: Uzbek, en: English, ru: Russian}
 common_voice_train_uz = load_dataset("mozilla-foundation/common_voice_16_1", "uz", split='train', trust_remote_code=True, token=env('HUGGING_TOKEN'), streaming=True)
 common_voice_train_ru = load_dataset("mozilla-foundation/common_voice_16_1", "ru", split='train', trust_remote_code=True, token=env('HUGGING_TOKEN'), streaming=True)
 common_voice_train_en = load_dataset("mozilla-foundation/common_voice_16_1", "en", split='train', trust_remote_code=True, token=env('HUGGING_TOKEN'), streaming=True)
@@ -57,7 +57,7 @@ common_voice['train'] = concatenate_datasets([common_voice_train_uz, common_voic
 ## Training procedure
 
 Used Trainer from transformers.
-Training and evaluation process are described in the notebook, storing in the following github repository:
+Training and evaluation process are described in the Jupyter notebook, storing in the following github repository:
 
 https://github.com/fitlemon/whisper-small-uz-en-ru-lang-id