The content of the uploaded file `coil100.py` seems to be a Python script related to TensorFlow Datasets, including a copyright header and licensing information. To address the hint regarding a mismatch in 'label' and 'object_id' fields within this file, leading to incorrect label numbers, I need to locate the specific sections related to 'label' and 'object_id' within the script and then investigate their usage and any potential mismatch.

Let's proceed to search for mentions of 'label' and 'object_id' in the Python script to identify the possible issue.Based on the search through the Python script `coil100.py`, I've found several occurrences related to both 'label' and 'object_id'. Here are potential issues reflecting the given hint about mismatches in these fields leading to incorrect label numbers:

1. **Misinterpretation in Label Extraction**:
    - **Issue**: Incorrect algorithm for extracting label numbers from file names.
    - **Evidence**: `label = file_name.split("_")[2].split(".")[0]`
    - **Description**: The script attempts to extract the label from the file name by splitting it with underscores and taking the third part (due to Python's zero-based indexing, it uses `[2]`). It assumes the label is correctly positioned in the file name format. However, without a clear understanding of the file naming convention, this could result in incorrect label extraction if the file names are not consistent with this assumption.

2. **Inconsistent Assignment between label and object_id**:
    - **Issue**: Potential inconsistency in how 'label' and 'object_id' are derived and used across the dataset.
    - **Evidence**: 
        - Label Extraction: `label = file_name.split("_")[2].split(".")[0]`
        - Object ID Extraction: `object_id = file_name.split("_")[0]`
    - **Description**: The script uses different portions of the file name to assign values to 'label' and 'object_id'—'label' is determined from the third segment of the file name, while 'object_id' comes from the first segment. This could be problematic if 'object_id' is expected to correspond directly to 'label' numbers but follows a different naming convention. Such discrepancies need thorough examination and verification against the intended dataset structure to ensure 'label' numbers accurately reflect the correct 'object_id'.

These issues highlight potential differences and ambiguities in how labels are extracted and assigned in the `coil100.py` script, which aligns with the hint provided about mismatches in the 'label' and 'object_id' fields potentially leading to incorrect label numbers. Further in-depth review and validation against the dataset documentation and the actual file names within the dataset are required to confirm and resolve these issues accurately.