Based on the given hint and the manual inspection of the contents of the uploaded dataset files, I have identified the following potential issues related to loading the dataset, which may result in extra data or anomalies:

### Issue 1
**File:** `dataset_infos.json` (file-FP3tWHnjWqkkawUT01xwTzA1)
  
**Issue:** `Potential extra or malformed data at the beginning or end`
  
**Evidence:**
```
"{"bc2gm_corpus": {"description": "Nineteen teams presented results for the Gene Mention Task at the BioCreative II Workshop. \nIn this task participants designed systems to identify substrings in sentences corresponding to gene name mentions. \nA variety of different methods were used and the results varied with a highest achieved F1 score of 0.8721. \nHere we present brief descriptions...
```
**Description:** 
The content starts directly with JSON structure but appears to be trimmed, indicating it may be part of a larger JSON object or there may be extra information appended at the end of the file that wasn't visible in the snippet provided. This can cause issues when attempting to load the dataset as it expects a well-formatted JSON. If this JSON file is not properly closed or if there are extra characters outside the JSON structure, it may cause parsing errors or result in unexpected extra data being loaded.

### Note:
Without visibility into potential physical file loading issues, such as encoding problems or irregular file terminations, it is difficult to definitively identify whether there are problems with extra data being loaded due to how the files are structured or loaded by the Python script. Therefore, an examination of the Python file's method for handling data loading would be essential to fully address the hint provided. Truncated outputs and limited visibility into the complete file contents constrain a thorough examination.