Update README.md

README.md

@@ -72,19 +72,4 @@ minds14 = Dataset.from_datasets("AutoIntent/minds14")
 
 This dataset is taken from `PolyAI/minds14` and formatted with our [AutoIntent Library](https://deeppavlov.github.io/AutoIntent/index.html):
 
-```python
-from datasets import load_dataset
-from autointent import Dataset
-
-def convert_minds14(minds14_train):
-    utterances = []
-
-    for batch in minds14_train.iter(batch_size=16, drop_last_batch=False):
-        for txt, intent_id in zip(batch["english_transcription"], batch["intent_class"], strict=False):
-            utterances.append({"utterance": txt, "label": intent_id})
-
-    return Dataset.from_dict({"train": utterances})
-
-minds14 = load_dataset("PolyAI/minds14", "ru-RU", trust_remote_code=True)
-minds14_converted = convert_minds14(minds14["train"])
-```
+Initial dataset contains train fold only, so our test fold is obtained via stratified splitting with `test_size=0.2`.