Based on the review of the `readme.md` and the initial few rows of the `psyco.csv` file, here are the identified issues following the given format:

1. **Issue**: Unclear column scales and terminology

    - **Evidence**: "age", "gender", "time_bp", "time_dp", "easeof_online", "home_env", "prod_inc", "like_hw", "dislike_hw" in CSV file.
    - **Description**: The readme file does not provide enough detail on the scale and type for several columns such as `time_bp` (The time spent on work before pandemic) and `time_dp` (The time spent on work during the pandemic). It's unclear what unit of measurement is used (hours, days, percentage). Similarly, for ratings like `easeof_online`, `home_env`, `prod_inc`, and binary-looking columns like `like_hw`, `dislike_hw`, it does not specify the scale or expected value range (e.g., 1-5, 1-10, or binary). This lack of clarity could lead to misinterpretations.

2. **Issue**: Presence of binary-like data without a clear explanation

    - **Evidence**: "like_hw" and "dislike_hw" columns in CSV file.
    - **Description**: Columns such as `like_hw` and `dislike_hw` contain values that look binary or numeric but represent a wider range than typical binary data (having values like 100, 1111). The readme indirectly mentions an "encoding issue" leading to binary appearing data but fails to clearly define the encoding mechanism or how to interpret these values correctly. This inconsistency requires clarification to understand respondent preferences.

3. **Issue**: Undefined or unclear terminology

    - **Evidence**: "travel+work" column in CSV file.
    - **Description**: The `travel+work` column mentioned in the CSV file is not described in the readme file. This leaves the column's purpose, expected values, and how it should be interpreted by researchers completely undefined.

4. **Issue**: Missing explanation for columns marked as "Custom Column" in the readme

    - **Evidence**: "X", "time_bp.1", "travel_new", "net_diff" noted as Custom Columns in README.
    - **Description**: The readme mentions that certain columns like `X`, `time_bp.1`, `travel_new`, and `net_diff` are considered "custom columns" without providing further details on their relevance, calculation, or how they should be treated for data analysis. This absence of information might obscure the dataset's usability for further research or analysis.

These identified issues impact the accessibility, usability, and clarity of the dataset, suggesting that dataset documentation needs significant improvement to be effectively used for research or analysis purposes.