After reviewing the uploaded files, several issues with "incorrect dataset property values" were identified:

1. **Issue in README.md**
   ```json
   {
       "issue": "Inaccurate dataset description in README",
       "evidence": "The task is to predict future author collaborations based on past ones, ranking true collaborations higher than false ones among 100,000 randomly-sampled negatives.",
       "description": "The README.md inaccurately describes a collaboration ranking task involving 100,000 negative samples. If the dataset has only 10,000 true collaborations, this could mislead users."
   }
   ```

2. **Issue in task_time_dependent_link_prediction_1.json**
   ```json
   {
       "issue": "Incorrect type value in task_time_dependent_link_prediction_1",
       "evidence": "\"type\": \"TimeDependentLinkPrediction\"",
       "description": "The JSON file specifies 'TimeDependentLinkPrediction', which may not align with the intended future collaboration analysis. It references 'Node/NodeFeature', suggesting it might be better classified as 'CollaborativePrediction'."
   }
   ```

3. **Issue in task_time_dependent_link_prediction_2.json**
   ```json
   {
       "issue": "Missing time window values in task_time_dependent_link_prediction_2",
       "evidence": "\"train_time_window\": [1963, 2018],",
       "description": "The training time window should reflect the dataset's characteristics. Ending in 2018 might not capture recent trends, potentially affecting model performance."
   }
   ```

These issues indicate discrepancies in dataset property values and descriptions, which need addressing for clarity and accuracy.