| 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 |