Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: cc-by-sa-4.0
+license: other
 dataset_info:
   features:
   - name: path
@@ -189,4 +189,4 @@ The dataset contains 25000 Kotlin code samples selected from [KStack](https://hu
 The filtering is performed using zero-shot quality estimation based on [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2). The model is prompted to determine which of two files has higher "educational value for learning algorithms in Kotlin". The results of the comparisons are averaged and used to train a binary classifier based on [CodeT5p-220m](https://huggingface.co/Salesforce/codet5p-220m). The binary classifier is then applied to the entire KStack to obtain scores for each sample in the dataset. The log-probability of the classifier prediction used as a criterion of the selection.
 
 # Opt-out
-If you want your data to be removed from dataset, or have any other questions, please reach out to Sergey Titov [email protected]
+If you want your data to be removed from dataset, or have any other questions, please reach out to Sergey Titov [email protected]