Delete data/save_mcq.py

data/save_mcq.py

@@ -1,25 +0,0 @@
-from datasets import load_dataset
-import pandas as pd
-import os
-
-# Load the dataset from Hugging Face
-dataset = load_dataset("lmms-lab/MMVU", split="validation")  # Change split if needed
-
-# Convert to pandas DataFrame
-df = dataset.to_pandas()
-
-# Inspect columns to find question type field
-print(df.columns)
-print(df.head())
-
-# Filter rows that are multiple-choice questions
-# Adjust 'question_type' to match the actual column name in MMVU
-mcq_df = df[df["question_type"] == "multiple-choice"]
-
-# Save to a new .parquet file
-output_path = "mmvu_mcq.parquet"
-mcq_df.to_parquet(output_path, index=False)
-
-print(f"Filtered dataset saved to {output_path}")
-print(f"Original size: {len(df)}, MCQ size: {len(mcq_df)}")
-