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Datasets:
GAIR
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OlympicArena

Tasks:
Question Answering
Modalities:
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Formats:
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Languages:
English
Chinese
Size:
10K - 100K
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Tags:
croissant
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text
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metadata
license: cc-by-nc-sa-4.0
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      - split: val
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task_categories:
  - question-answering
language:
  - en
  - zh
pretty_name: OlympicArena
size_categories:
  - 10K<n<100K
tags:
  - croissant

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI

OlympicArena is a comprehensive, highly-challenging, and rigorously curated benchmark featuring a detailed, fine-grained evaluation mechanism designed to assess advanced AI capabilities across a broad spectrum of Olympic-level challenges.

This benchmark encompasses seven disciplines: Mathematics, Physics, Chemistry, Biology, Geography, Astronomy, and Computer Science. Each discipline is divided into two splits: validation (val) and test. The validation split includes publicly available answers for small-scale testing and evaluation, while the test split does not disclose the answers, ensuring an unbiased assessment of AI performance.

An Example to load the data 

from datasets import load_dataset
dataset=load_dataset("GAIR/OlympicArena", "Math", split="val")

print(dataset[0])

More details on loading and using the data are at our github page.