Given the lack of a specific hint and after examining the initial structure of the provided dataset, `ks-projects-201801.csv`, multiple types of common issues could be considered. Each of these represents a potential challenge for data quality and consistency that commonly affects datasets in the real world. However, without a precise hint, I'll outline hypothetical issues based on standard data review practices:

1. **Ambiguity in the 'state' Column Values**
   - **Evidence:** The 'state' column includes values like `failed`, `canceled`, and potentially more not visible in the preview.
   - **Description:** Without detailed documentation, the difference between 'failed' and 'canceled' (and possibly other statuses) can be ambiguous for users of the dataset. Clarification on the criteria for each status could help in understanding project outcomes better.

2. **Inconsistent Naming Convention in Columns**
   - **Evidence:** Both 'usd pledged' and 'usd_pledged_real' columns are present, differing in naming convention (space vs underscore).
   - **Description:** The use of both spaces and underscores in column names could lead to confusion or errors in data processing scripts. Standardizing column names, preferably to snake_case for ease of use in programming environments, could improve usability.

3. **Presence of Multiple Currency Columns**
   - **Evidence:** Columns 'pledged', 'goal', 'usd pledged', 'usd_pledged_real', and 'usd_goal_real' suggest redundancy and currency conversion.
   - **Description:** The dataset contains multiple columns related to pledge amounts and goals in both local and USD currencies. This redundancy might confuse users on which column to use for analysis. Documentation orstreamlining the dataset to focus on a single currency (preferably standardized to USD for international projects) could simplify analysis.

4. **Discrepancy Between 'pledged' and 'usd pledged' Columns**
   - **Evidence:** The 'pledged' column shows the amount pledged in the project's local currency, while 'usd pledged' and 'usd_pledged_real' represent USD conversions. There seem to be discrepancies in conversion rates or methods used.
   - **Description:** The 'usd pledged' and 'pledged' columns may not correspond accurately due to fluctuating exchange rates or conversion errors at the time of data capture. Ensuring accurate and up-to-date currency conversion to reflect the true USD value at the time of project closure would enhance data reliability.

Without a specific hint or additional information on potential focus areas, these issues represent general concerns related to dataset quality and integrity that could potentially exist in the `ks-projects-201801.csv` file. Further, detailed examination would be necessary to confirm and address these hypothetical issues precisely.