I have reviewed the uploaded files and identified issues related to loading the dataset, resulting in extra data:

1. **Issue:** Extra data in the README file.
   - **Evidence:** The README includes excessive metadata and detailed information.
   - **Description:** It contains detailed information on annotations creators, language creators, licenses, multilinguality, source datasets, task categories, task IDs, and dataset features. This could overwhelm users needing only a high-level overview. A concise summary at the beginning is recommended, with detailed information moved to separate sections or files.

2. **Issue:** Unnecessary licensing details in the dataset_infos file.
   - **Evidence:** The file includes extensive licensing information.
   - **Description:** It contains detailed copyright and licensing information, including an Apache License reference. While essential, the level of detail may not be necessary for users interested in the dataset's content and use cases. Simplifying the licensing information with a brief summary and directing users to full details if needed is recommended.

3. **Issue:** Additional content in the bc2gm_corpus.py file.
   - **Evidence:** The file contains content beyond the expected code.
   - **Description:** It includes a detailed description of the Gene Mention Task at the BioCreative II Workshop, with information on participants, methods, and F1 score. While valuable, this information in a code file may confuse users expecting only code-related content. Consider moving this description to separate documentation or a readme file for clarity.

These issues indicate areas where content may exceed the expected scope or format, potentially causing confusion or difficulty in navigating the dataset files.