| import json | |
| import os | |
| from typing import Dict, List, Union | |
| import sys | |
| project_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) | |
| sys.path.append(project_dir) | |
| from utils import structure_data | |
| def load_dataset(dataset_name: str) -> Dict[str, Union[str, List[str]]]: | |
| """ | |
| Load training dataset or validation dataset. | |
| Args: | |
| dataset_name (str): The name of the dataset. Should be either 'training_dataset' or 'validation_dataset'. | |
| Returns: | |
| dataset (Dict[str, Union[str. List[str]]]): A dictionary representing the | |
| loaded dataset with keys 'text', 'ner', and 'intent'. | |
| Raises: | |
| ValueError: If the provided dataset_name is not one of the valid_names. | |
| FileNotFoundError: If the dataset file is not found in the specified path. | |
| """ | |
| valid_names = ["training_dataset", "validation_dataset"] | |
| if dataset_name not in valid_names: | |
| raise ValueError(f"Invalid dataset name. Expected one of {valid_names}, got {dataset_name}") | |
| path = f"{dataset_name}.json" | |
| if not os.path.exists(path): | |
| raise FileNotFoundError(f"Dataset file not found at {path}") | |
| with open(path, 'r') as f: | |
| dataset = json.load(f) | |
| dataset = structure_data(dataset) | |
| return dataset |