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#!/usr/bin/env python | |
import ast | |
import os | |
import datasets | |
import gradio as gr | |
import PIL.Image | |
DESCRIPTION = """\ | |
# [JMMMU](https://huggingface.co/datasets/JMMMU/JMMMU) dataset viewer | |
""" | |
SHOW_ANSWER = os.getenv("SHOW_ANSWER", "false").lower() == "true" | |
SHOW_QUESTION_DETAILS = os.getenv("SHOW_QUESTION_DETAILS", "false").lower() == "true" | |
SUBJECTS = [ | |
"Accounting", | |
"Agriculture", | |
"Architecture_and_Engineering", | |
"Basic_Medical_Science", | |
"Biology", | |
"Chemistry", | |
"Clinical_Medicine", | |
"Computer_Science", | |
"Design", | |
"Diagnostics_and_Laboratory_Medicine", | |
"Economics", | |
"Electronics", | |
"Energy_and_Power", | |
"Finance", | |
"Japanese_Art", | |
"Japanese_Heritage", | |
"Japanese_History", | |
"Manage", | |
"Marketing", | |
"Materials", | |
"Math", | |
"Mechanical_Engineering", | |
"Music", | |
"Pharmacy", | |
"Physics", | |
"Psychology", | |
"Public_Health", | |
"World_History", | |
] | |
ds = {subject: datasets.load_dataset("JMMMU/JMMMU", name=subject, split="test") for subject in SUBJECTS} | |
def set_default_subject() -> str: | |
return "Accounting" | |
def get_images(subject: str, question_index: int) -> list[PIL.Image.Image]: | |
images = [] | |
for image_id in range(1, 8): | |
image = ds[subject][question_index][f"image_{image_id}"] | |
if image is None: | |
break | |
images.append(image) | |
return images | |
def update_subject( | |
subject: str, | |
) -> tuple[ | |
gr.Textbox, # Number of Questions | |
gr.Slider, # Question Index | |
gr.Gallery, # Images | |
gr.Textbox, # Question | |
gr.Textbox, # Options | |
gr.Textbox, # Answer | |
gr.Textbox, # Explanation | |
gr.Textbox, # Topic Difficulty | |
gr.Textbox, # Question Type | |
gr.Textbox, # Subfield | |
]: | |
return ( | |
gr.Textbox(value=len(ds[subject])), # Number of Questions | |
gr.Slider(label="Question Index", minimum=0, maximum=len(ds[subject]) - 1, step=1, value=0), # Question Index | |
) + update_question(subject, 0) | |
def update_question(subject: str, question_index: int) -> tuple[ | |
gr.Gallery, # Images | |
gr.Textbox, # Question | |
gr.Textbox, # Options | |
gr.Textbox, # Answer | |
gr.Textbox, # Explanation | |
gr.Textbox, # Topic Difficulty | |
gr.Textbox, # Question Type | |
gr.Textbox, # Subfield | |
]: | |
question = ds[subject][question_index] | |
options = ast.literal_eval(question["options"]) | |
options_str = "\n".join([f"{chr(65 + i)}. {option}" for i, option in enumerate(options)]) | |
images = get_images(subject, question_index) | |
return ( | |
gr.Gallery(value=images, columns=min(len(images), 2)), # Images | |
gr.Textbox(value=question["question"]), # Question | |
gr.Textbox(value=options_str), # Options | |
gr.Textbox(value=question["answer"]), # Answer | |
gr.Textbox(value=question["explanation"]), # Explanation | |
gr.Textbox(value=question["topic_difficulty"]), # Topic Difficulty | |
gr.Textbox(value=question["question_type"]), # Question Type | |
gr.Textbox(value=question["subfield"]), # Subfield | |
) | |
with gr.Blocks(css_paths="style.css") as demo: | |
gr.Markdown(DESCRIPTION) | |
with gr.Row(): | |
subject = gr.Dropdown(label="Subject", choices=SUBJECTS, value=SUBJECTS[-1]) | |
question_count = gr.Textbox(label="Number of Questions") | |
with gr.Group(): | |
question_index = gr.Slider(label="Question Index") | |
with gr.Row(): | |
with gr.Column(): | |
question = gr.Textbox(label="Question") | |
options = gr.Textbox(label="Options") | |
with gr.Column(): | |
images = gr.Gallery(label="Images", object_fit="scale-down") | |
with gr.Accordion("Answer and Explanation", open=SHOW_ANSWER): | |
with gr.Row(): | |
answer = gr.Textbox(label="Answer") | |
explanation = gr.Textbox(label="Explanation") | |
with gr.Accordion("Question Details", open=SHOW_QUESTION_DETAILS): | |
with gr.Row(): | |
topic_difficulty = gr.Textbox(label="Topic Difficulty") | |
question_type = gr.Textbox(label="Question Type") | |
subfield = gr.Textbox(label="Subfield") | |
subject.change( | |
fn=update_subject, | |
inputs=subject, | |
outputs=[ | |
question_count, | |
question_index, | |
images, | |
question, | |
options, | |
answer, | |
explanation, | |
topic_difficulty, | |
question_type, | |
subfield, | |
], | |
queue=False, | |
api_name=False, | |
) | |
question_index.input( | |
fn=update_question, | |
inputs=[subject, question_index], | |
outputs=[images, question, options, answer, explanation, topic_difficulty, question_type, subfield], | |
queue=False, | |
api_name=False, | |
) | |
demo.load(fn=set_default_subject, outputs=subject, queue=False, api_name=False) | |
if __name__ == "__main__": | |
demo.queue(api_open=False).launch(show_api=False) | |