| import csv | |
| import os | |
| from datasets import Dataset, DatasetDict | |
| class VulnAIDataset: | |
| def __init__(self, data_dir): | |
| self.data_dir = data_dir | |
| def load(self): | |
| splits = {} | |
| for split in ["train", "validation", "test"]: | |
| path = os.path.join(self.data_dir, "data", f"{split}.csv") | |
| if os.path.exists(path): | |
| with open(path, "r", encoding="utf-8") as f: | |
| reader = csv.DictReader(f) | |
| rows = list(reader) | |
| splits[split] = Dataset.from_list(rows) | |
| return DatasetDict(splits) | |
| def load_dataset(data_dir): | |
| return VulnAIDataset(data_dir).load() | |