This repository has been archived on 2025-12-23. You can view files and clone it, but you cannot make any changes to it's state, such as pushing and creating new issues, pull requests or comments.
2025ML-project-neural_compr.../src/dataset_loaders/OpenGenomeDataset.py

51 lines
1.6 KiB
Python

from typing import Callable
from datasets import load_dataset, Value, Features
from .Dataset import Dataset
class OpenGenomeDataset(Dataset):
"""
Hugging Face: https://huggingface.co/datasets/LongSafari/open-genome
:param split Either 'train', 'test' or 'validation'
:param stage Either 'sample', 'stage1' or 'stage2'.
'sample' only provides a 'validation' split
"""
def __init__(self,
root: str | None = None,
split: str = 'train',
transform: Callable = None,
size: int = -1,
stage: str = 'stage2'
):
super().__init__('open_genome', root, split, transform, size)
print(f"Loading from HuggingFace (stage: {stage}, split: {split})")
ft = Features({'text': Value('string')})
data = load_dataset("LongSafari/open-genome", stage, split=split, cache_dir=self.root, features=ft)
self.data = data['text']
self.size = size
# Model uses fixed 128-length context
self.context_length = 128
self.process_data()
print("Done initializing dataset")
def __len__(self):
# return len(self.data) - self.context_length
return self.chunk_offsets[-1] - self.context_length
def __getitem__(self, idx):
# return self.get_chunked_item(idx, self.chunk_offsets, self.context_length)
x = self.tensor[idx:idx + self.context_length]
y = self.tensor[idx + self.context_length]
if self.transform:
x = self.transform(x)
return x, y