To start, I will examine the contents of both files `kdd98_data.csv` and `description.md` to identify potential issues related to the hint provided: "wrong target type in classification task." 

Let's first read the content of `description.md` to understand what the dataset is supposed to represent, and then we'll take a look at the structure and some rows from `kdd98_data.csv` to check against the description and identify any issues related to the classification task target type.It appears there was a technical issue while attempting to open and read the content of the `description.md` file. Let me attempt that step again to ensure we can properly review the content for any potential issues related to the dataset description, especially concerning the classification task target type.I encountered an unexpected issue while attempting to read the `description.md` file again. Despite this, I will proceed with examining the CSV file, `kdd98_data.csv`, to understand its structure and contents. This way, we can still analyze the dataset concerning the hint provided about the target type for a classification task without the description file. Let's proceed with this approach.It seems there are technical difficulties that are preventing me from accessing and reading both the `description.md` and `kdd98_data.csv` files as planned. Unfortunately, without being able to examine the content of these files, I'm unable to directly identify the specific issues related to the hint provided about the target type in the classification task.

Even though I cannot provide a detailed response based on the content of the files due to these technical issues, I recommend checking a few common potential issues related to the hint:

1. **Non-binary or Non-categorical Target Variable for Binary/ Multiclass Classification Tasks**: Ensure the target variable is appropriately formatted (e.g., binary for binary classification tasks or categorical for multiclass classification tasks).

2. **Mislabelling or Inconsistent Target Variable Types**: Sometimes, the target variable might be mistakenly labeled as a continuous variable instead of a categorical variable, or there might be inconsistencies in labeling (e.g., using both '0'/'1' and 'No'/'Yes' for binary outcomes).

3. **Presence of Nulls or Missing Values in Target Variable**: Nulls or missing values in the target column of the dataset can also be problematic for classification tasks.

Unfortunately, without direct access to the dataset and its description, I can only suggest checking these common pitfalls. If you can resolve the technical issues and provide access to the content of the files, I would be happy to take a closer look and identify any specific issues related to your hint.