• The supported formats are: 

  • CSV with ";" or "," separator; 
  
  • NumPy .npy
  
  • MATLAB MAT-files .mat

• Files contain the numerical data, allowed types: int, float, double

• Any **input file** contains a table with:

  • number of lines equal to a number of samples
   
  • number of columns equal to a number of input features
   
  • CSV files could have one additional line for a header
  
• The target values of the Compression problem are equal to its inputs, so only **input file** is required

• The data can be provided in chunks, in multiple **input files**

There is no need to normalize the data, as the normalization is handled by NeurEco, :std:ref:`Normalizing the data`.