Based on the contents of the uploaded zip files, the potential issues in the dataset according to the provided hint about "directory naming issues" are:

1. **Issue**: Directory naming inconsistency
   - **Evidence**: In one zip file, directory under `train/` is named `stawberries`, which seems to be a typographical error. The correct spelling should likely be `strawberries`. This naming inconsistency could pose problems for automated processes expecting consistent naming conventions for directory structures. 
   - **Description**: The directory naming within the datasets must follow a consistent and correct naming convention. The directory `stawberries` found within the `train.zip` file is a clear instance of a typographical error, which should be corrected to `strawberries`. This inconsistency may lead to confusion or errors in dataset processing or analysis pipelines expecting standardized and correctly spelled directory names.

2. **Issue**: Presence of system-specific metadata directories
   - **Evidence**: The presence of `__MACOSX/` directories and metadata files such as `._img_961.jpeg` within the zip files indicates that these datasets contain system-specific metadata that might not be relevant to the dataset's intended use. 
   - **Description**: The inclusion of macOS-specific metadata directories (`__MACOSX/`) and files in dataset archives is generally considered unnecessary for most data processing and analysis tasks. These meta-files could increase the size of the dataset unnecessarily and may lead to potential confusion or errors in data handling. It is advisable to clean the dataset by removing these system-specific files before distribution.

These issues were identified based on the examination of the directory structures and filenames contained within the provided zip files, focusing on the hint regarding directory naming issues.