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README.md

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+---
+dataset_info:
+  features:
+  - name: choices
+    struct:
+    - name: A
+      dtype: string
+    - name: B
+      dtype: string
+    - name: C
+      dtype: string
+    - name: D
+      dtype: string
+    - name: E
+      dtype: string
+  - name: question_type
+    dtype: string
+  - name: id
+    dtype: string
+  - name: answer
+    dtype: string
+  - name: youtube_url
+    dtype: string
+  - name: metadata
+    struct:
+    - name: knowledge
+      sequence: string
+    - name: rationale
+      dtype: string
+    - name: subject
+      dtype: string
+    - name: textbook
+      dtype: string
+  - name: video
+    dtype: string
+  - name: question
+    dtype: string
+  - name: video_path
+    dtype: string
+  splits:
+  - name: validation
+    num_bytes: 1155731
+    num_examples: 1000
+  download_size: 442034
+  dataset_size: 1155731
+configs:
+- config_name: default
+  data_files:
+  - split: validation
+    path: data/validation-*
+---

data/save_mcq.py

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+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)}")
+

data/validation_mcq-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7c1008cbc027385d0a2d77106c51a10cf9a3b9a0ce65a8cc001a953b530d9773
+size 331958

videos.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:52e4cffa31e89bed734601a4102b6badd35cd8b4f5fee1992aae75a431b79364
+size 941447801