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chaosc/merged_aime_test

Merged AIME Test Dataset This dataset merges AIME 2024 and AIME 2025 datasets into a unified format with three fields: problem: The math problem statement answer: The answer to the problem source: The source dataset Source Datasets aime25 (30 examples): math-ai/aime25 Mapped: problem → problem, answer → answer aime24 (30 examples): math-ai/aime24 Mapped: problem → problem, extracted answer from \boxed{} in solution → answer Total Statistics… See the full description on the dataset page: https://huggingface.co/datasets/chaosc/merged_aime_test.

sourceHugging Facemitupdated 9mo agoView on Hugging Face
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Merged AIME Test Dataset

This dataset merges AIME 2024 and AIME 2025 datasets into a unified format with three fields:

  • —problem: The math problem statement
  • —answer: The answer to the problem
  • —source: The source dataset

Source Datasets

  1. 1.aime25 (30 examples): math-ai/aime25
  2. 2.Mapped: problem → problem, answer → answer
  1. 1.aime24 (30 examples): math-ai/aime24
  2. 2.Mapped: problem → problem, extracted answer from \boxed{} in solution → answer

Total Statistics

  • —Total examples: 60
  • —Split: test only

Usage

python
from datasets import load_dataset

dataset = load_dataset("chaosc/merged_aime_test")
test_data = dataset["test"]

# Filter by source if needed
aime25_examples = test_data.filter(lambda x: x["source"] == "aime25")
aime24_examples = test_data.filter(lambda x: x["source"] == "aime24")

Dataset Structure

Each example contains:

  • —problem: A math problem statement (string)
  • —answer: The answer to the problem (string)
  • —source: The source dataset name (string)

Sample Examples

python
# Example from dataset
{
    "problem": "...",
    "answer": "...",
    "source": "aime25"
}