Based on the initial inspection of the content from both files, here are the potential issues identified:

1. **Misalignment between Description and Dataset**
    - **Issue**: Different attributes description
    - **Evidence**: The first file describes an attribute as “Tax” without specifying the format or how it is calculated, while in the second file, the "Tax 5%" column explicitly mentions a 5% tax, which implies a specific calculation method that was not detailed in the description.
    - **Description**: The dataset file contains a column named "Tax 5%", which indicates that tax is calculated at a 5% rate. However, the description file merely mentions “Tax” without specifying the calculation method. This inconsistency could lead to misunderstandings regarding how tax values are derived in the dataset.

2. **Attribute Description Inconsistency**
    - **Issue**: Incomplete attribute descriptions
    - **Evidence**: In the first file, the attribute “Customer type” is described simply as types of customers without specifying the potential values ("Member" and "Normal"). The dataset, however, clearly categorizes customers into these two types.
    - **Description**: The attribute descriptions provided for "Customer type" in the about dataset document are not fully detailed, omitting the possible values or categories that this attribute can take. Such omissions can lead to ambiguities in understanding the dataset's structure or in conducting data analysis.

3. **Lack of Format Specification for Date and Time**
    - **Issue**: Date and time format the ambiguity
    - **Evidence**: The dataset uses a specific format for "Date" (e.g., "1/5/2019") and "Time" (e.g., "13:08"), but such format specifications are absent from the descriptive document.
    - **Description**: The dataset employs formats for representing dates and times, which, without explicit mention in the dataset description, could lead to confusion or incorrect interpretation during analysis, especially in regions with different standard date formats. Hence, it would be beneficial for the descriptive document to specify these formats to prevent potential data parsing errors.

These identified issues are critical for ensuring the dataset's usability and understanding, particularly for users who rely on the descriptive document for an initial understanding of the dataset's structure and contents. Clarifications and corrections in the descriptive documentation and dataset alignment are necessary to enhance the dataset's overall quality and accessibility.