I have identified issues specifically related to the presence of duplicate data entries in the `survey_lung_cancer.csv` dataset. Here are the details:

- **Issue 1:**
  
```json
{
    "issue": "Duplicate data entries in dataset",
    "evidence": "Rows with indices 99, 100, 117, 199, 212, among others, are duplicate entries",
    "description": "The dataset contains 33 duplicate rows which could impact data analysis, introducing biases or inaccuracies in any inferential statistics or machine learning models derived from this data. These duplicates must be assessed for necessity and removed if they don't serve a specific purpose."
}
```

The evidence points towards a potential issue where duplicate entries, such as those previewed with indices 99, 100, 117, 199, and 212, could compromise the integrity and reliability of any insights or models developed using this dataset. A deeper inspection or cleanup process is recommended to address this problem.

Given this analysis focuses on the hint provided around duplicate data entries, I have not indefinitely scrutinized other potential issues such as data quality or completeness not related to duplicacy within this dataset or checked the python file `test.py` for similar content-related issues.