The content of `datacard.md` provides crucial information about the dataset, explicitly specifying the expected structure and sizes:

- **The dataset consists of** 48x48 pixel grayscale images of faces.
- **Categories:** Images are categorized based on the emotion shown into one of seven categories (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral).
- **Training set**: Consists of 28,709 examples.
- **Public test set**: Consists of 3,589 examples.

Given the hint, we need to verify if the `test.zip` file adheres to the specification of containing **only 3,589 examples** as stated in the datacard. Let's now inspect the contents of `test.zip` to see if it aligns with the information provided in `datacard.md`.The inspection of the `test.zip` file reveals that it contains **57,434** images, which significantly exceeds the expected number of **3,589** examples as outlined in the `datacard.md`. This discrepancy indicates a potential issue with the dataset as per the given hint. Here's the formal issue report:

---

{
    “issue”: “Mismatch in the number of test examples”,
    “evidence”: “The public test set consists of 3,589 examples.” in datacard.md,
    “description”: “According to the specifications in datacard.md, the test dataset is expected to contain only 3,589 examples. However, the provided test.zip contains 57,434 images, which greatly exceeds the expected amount. This discrepancy suggests that the test.zip file might include incorrect or additional data not accounted for in the datacard.md description.”
},

---