| import pandas as pd | |
| class IQADataset(): | |
| def __init__(self, csv_file, name, dataset_root, attributes): | |
| self.df = pd.read_csv(csv_file, dtype=str) | |
| self.name = name | |
| self.dataset_root = dataset_root | |
| self.attributes = attributes | |
| self.length = len(self.df) | |
| def __str__(self): | |
| return f"IQADataset ({self.name}), attributes: {self.attributes}" | |
| def __len__(self): | |
| return self.length | |
| def __getitem__(self, idx): | |
| if idx >= self.length: | |
| raise StopIteration | |
| sample = {} | |
| for attr in self.attributes: | |
| sample[attr] = self.df[attr][idx] | |
| if attr == "score": | |
| sample[attr] = float(self.df[attr][idx]) | |
| return sample | |