Delete dataset_loader.py

dataset_loader.py

@@ -1,56 +0,0 @@
-import os
-import json
-from datasets import DatasetBuilder, SplitGenerator, DownloadManager, DatasetInfo, Features, Value, Sequence
-
-class MultiFileDataset(DatasetBuilder):
-    """Example of a Hugging Face dataset script for handling multiple files per split."""
-
-    VERSION = "1.0.0"
-
-    def _info(self):
-        return DatasetInfo(
-            description="This dataset includes multiple JSON lines files for text classification.",
-            features=Features({
-                "question": Value("string"),
-                "options": Sequence(Value("string")),
-                "answer": Value("string"),
-                "prompt": Value("string"),
-                "num_options": Value("string"),  # Assuming numeric values are expected for this field
-                "question_type": Value("string"),
-                "exam_id": Value("string")  # Assuming all records will have an exam_id; use default value otherwise
-            }),
-            homepage="https://www.example.com/mydataset",
-            citation="Cite the source here if applicable.",
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # Assuming `data_dir` is your dataset's root directory on Hugging Face
-        return [
-            SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": os.path.join(self.config.data_dir, "train/mcq")},
-            ),
-            SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": os.path.join(self.config.data_dir, "test/mcq")},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples from multiple files."""
-        for file in sorted(os.listdir(filepath)):  # Ensures consistent order
-            full_file_path = os.path.join(filepath, file)
-            if full_file_path.endswith('.jsonl'):  # Ensure to process only JSON Lines files
-                with open(full_file_path, encoding="utf-8") as f:
-                    for id, line in enumerate(f):
-                        data = json.loads(line)
-                        yield f"{file}_{id}", {
-                            "question": data["question"],
-                            "options": data["options"],
-                            "answer": data["answer"],
-                            "prompt": data["prompt"],
-                            "num_options": int(data["num_options"]),  # Convert to int if it's a string in JSON
-                            "question_type": data["question_type"],
-                            "exam_id": data.get("exam_id", "")  # Check if this optional field exists
-                        }