It seems there is a connectivity issue that prevents us from directly reading the files at the moment. However, I can guide you through the steps to check for duplicate content in the datasets.

Here's the approach you can take:

1. **Loading the files**: Read each file into a separate variable or data structure.
2. **Checking for duplicates**:
   - For text files (like `.txt` and `.py` files), split the content into lines or words to check for duplicates.
   - For CSV files, you can load them into a DataFrame (if using pandas) or read them line by line.
3. **Identify duplicates**: Create a mechanism to flag any duplicates found, along with their contexts.
4. **Format the issues**: Use the provided format to create entries for each found issue.

Since I cannot access the files right now, if you could inspect the files on your local machine, you can follow these steps to check for duplicates. Alternatively, if you'd like to try uploading the files or providing the content here manually, I can assist further. Would you like to proceed with that?