# GPR data processing — Data

来源：https://www.kaggle.com/competitions/gpr-data-processing/data

采集时间：2026-10-19T08:33:49Z

## What files do I need?  
- train_x.npy - input file for train the solution
- train_y.npy - output file for train the solution
- test_x.npy - input file for make prediction
- sample_submission.csv - example of file to make prediction

## What should I expect the data format to be?  
 - I want npy format, but I need to check this

## What am I predicting?  
- You need to predict 'test_y.csv' file like 'sample_submission.csv' format. It's just a .npy flattened file
```python
flat_data = data.reshape(-1)
df = pd.DataFrame({'ID Column': np.arange(len(flat_data)), 'Data': flat_data})
df.to_csv(csv_path, index=False)
```

## What acronyms will I encounter?
-nothing. But if there is great interest in the parameters of simulation and ground penetrating radar, then I will create a separate notebook with a description.

## Files

*   **train_x.npy** - the training input set
*   **train_y.npy** - the training output set
*   **test_x.npy** - a sample submission file in the correct format
*   **sample_submission.csv** - a sample submission file in the correct format