You are correct, I apologize for the mistake in the original dataframe creation code. Let me rewrite it:

```python
original_df = spark.createDataFrame([
    {"col": "1,Australia,5"},
    {"col": "2,United States,7"},
    {"col": "3,France,1"},
    {"col": "5,United Kingdom,10"}
])
```
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence