Jupyter Notebook (.ipynb) Translation: Can the Code Run and the Markdown Be Read?
“Data analysis reports typically combine executable code, output results, and Markdown explanatory text. Translating the entire file can lead to code malfunction or alteration of output results.”
Root Cause Analysis
Intelligent Cell Type Separation
Shangyi AI separates cells based on the `cell_type` field in the JSON structure: `markdown` cells are sent to the translation engine, while `code` cells are strictly locked. For `raw` cells, users can choose whether or not to translate them as needed.
Protection of Embedded Formulas in Markdown
It is common to include LaTeX-formatted mathematical formulas (such as `$E=mc^2$`) within Markdown cells. The AI engine recognizes the `$` delimiters and treats the enclosed content as 'immutable tokens', translating only the explanatory text surrounding the formulas.
Output Data Cleansing
By default, we recommend that users clear the output before uploading; however, if the output includes textual information (such as error logs or print results), the AI can be configured to translate only the natural language portions, preserving the structure of the Traceback.
Final Solution Summary
Fully meets the localization requirements for Kaggle competition submissions or teaching materials, ensuring synchronization between code logic and documentation.