Creating own dataset

1

Hi everyone, i want to build my own dataset. I searched this topic on forum but examples are not same as my datasets. I have three different .txt file which are contains float numbers. These 3 .txt files will be mine inputs but i do not have any labels. How can I create my own dataset?
I am going to put my one of the dataset file here:

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2

You can build your own dataset by using Dataset Class

class my dataset (Dataset):

You have to over ride two function - len() and getitem()

Now,
len() returns the length of the dataset, which you need, so that you can iterate over it getitem() returns the item

class myDataset(Dataset):
   def __init__(self):
      self.load_files = []
      load_file = pd.csv(filename)
      load_files.append(load_file)
  
   def __len__(self):
      return len(self.load_files)
   
   def __getitem__(self,idx):
      sample = self.load_files[idx]
      # type of sample would be of dataframe, we need to convert it into Tensor and then return
     return sample

It is not necessary to have labels. Only, thing is that you need to have tensor output from getitem() and when you iterate over dataset, extract the data carefully. And override those two functions

Check this :Writing Custom Datasets, DataLoaders and Transforms — PyTorch Tutorials 2.1.1+cu121 documentation
It has explained it beautifully