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Dataset · Text generation

AIME_2024

by Minghui Jia Maxwell-Jia/AIME_2024

This dataset contains problems from the American Invitational Mathematics Examination (AIME) 2024. AIME is a prestigious high school mathematics competition known for its challenging mathematical problems.

Rows30
Configurations1
Size41.4 KB
Licensemit
AccessPublicly accessible
Monthly Downloads100.9k

Dataset Card

By Minghui Jia, published under mit, revision 8d88b2876a82.

AIME 2024 Dataset

Dataset Description

This dataset contains problems from the American Invitational Mathematics Examination (AIME) 2024. AIME is a prestigious high school mathematics competition known for its challenging mathematical problems.

Dataset Details

  • Format: JSONL
  • Size: 30 records
  • Source: AIME 2024 I & II
  • Language: English

Data Fields

Each record contains the following fields: - ID: Problem identifier (e.g., "2024-I-1" represents Problem 1 from 2024 Contest I) - Problem: Problem statement - Solution: Detailed solution process - Answer: Final numerical answer

Purpose

This dataset is primarily used for: 1. Evaluating Large Language Models' (LLMs) mathematical reasoning capabilities 2. Testing models' problem-solving abilities on complex mathematical problems 3. Researching AI performance on structured mathematical tasks

Features

Read the full dataset card (194 words)

Structure

default 30 rows

SplitRowsSize
train3047.0 KB
IDstringProblemstringSolutionstringAnswerint64

Details

Repository
Maxwell-Jia/AIME_2024
Publisher
Minghui Jia
Task category
Text generation
Tags
explanation-generation
Size category
n<1K
Languages
en
Revision
8d88b2876a82a080e2f172cc9b25d0d9d2cb4792
Last updated
2025-02-18

Files

3 files, 41.4 KB in total.

Data1 file · 37.2 KB
Documentation1 file · 1.8 KB
Repository1 file · 2.5 KB
Every file
FileTypeSizeSHA-256
aime_2024_problems.parquetData37.2 KB3cb34696a758
README.mdDocumentation1.8 KB
.gitattributesRepository2.5 KB

License and Download

License
mit
Access
No access gate
Download from Minghui Jia

Released by Minghui Jia through its official repository on Hugging Face. Read the license.