I wanted to raise a concern regarding Prior.csv to see if I am misinterpreting the data structure, or if there might be an issue with target leakage still.

We know we have an overlap between Test and Prior: 3,526 out of 5,621 test farmers also appear in the prior data.

While the records in Prior.csv are earlier in time for these overlapping farmers (meaning this isn't strictly future leakage), Prior.csv includes all three target variables fully populated. My main concern is that a non-trivial number of Test.csv rows map back to farmers who already have a positive adoption recorded in Prior.csv.

Here is the breakdown of overlapping test rows that already show prior positive adoption:

• adopted_within_07_days: 187 test rows
• adopted_within_90_days: 270 test rows
• adopted_within_120_days: 310 test rows

If a farmer has already adopted the practice in the prior data, wouldn't predicting their adoption again in the test set be considered target leakage (assuming adoption is a one-time event)?