Text Data De-duplication Cleanup

I have a text-based dataset that needs a focused round of data cleaning and formatting. The core task is to identify and remove every duplicate entry so the final file is lean, accurate, and ready for analysis. No mining or scraping is necessary—everything is already collected; it simply needs to be cleaned.

You will receive the raw text file (CSV). I expect back the same file structure, duplicates removed, and a short log outlining what was eliminated so I can trace the changes. A quick turnaround and careful attention to detail are important, as any missed duplicate will skew later processing.

If you’re comfortable working with large text datasets in tools such as Excel, Google Sheets, or Python (pandas), you’ll find this straightforward.