The content provided appears to be incorrect as it represents data rather than the content typically found in a "readme.md" file which should contain textual descriptions or instructions related to the dataset. Let's now attempt to load and examine the contents of 'sym_t.csv' to analyze its structure and contents.An error has occurred while attempting to load the `sym_t.csv` file, indicating an issue with its format. Specifically, the error `Expected 1 fields in line 5, saw 2` suggests there is a mismatch in the expected number of fields per line starting at a particular line in the file, which typically points to inconsistencies in the CSV formatting.

Given this context, the following issues have been identified based on the initial analysis:

1. **Incorrect file content in `readme.md`**:
   - **Issue**: Misplaced Dataset Content
   - **Evidence**: The `readme.md` file unexpectedly contains a list of symptoms with IDs which looks like data that should be in a `.csv` file, rather than explanatory content typically found in README files.
   - **Description**: A README file should provide a description of the dataset, including its structure, how to use it, any relevant information about its creation and limitations, and possibly licensing information. However, the content present was strictly data, suggesting the data that should've been in a CSV file was incorrectly placed in the README.
   
2. **CSV Format Error in `sym_t.csv`**:
   - **Issue**: Formatting inconsistency/error
   - **Evidence**: Upon attempting to load the `sym_t.csv` file, a `ParserError` was encountered that highlighted a formatting issue starting from line 5, indicating more fields than expected.
   - **Description**: The CSV parsing error suggests that there are inconsistencies in how data rows are formatted throughout the file. A typical CSV file should have a uniform number of fields (columns) across all rows unless explicitly designed to handle variable numbers of fields. This inconsistency can cause issues when attempting to load and analyze the dataset programmatically.

Considering there was no specific hint provided for reviewing these datasets, these issues were identified based on standard practices for handling and structuring data files and metadata documentation.