Datasets:

Geraldxm
/

math-vault

license:
  - apache-2.0
  - cc-by-nc-sa-4.0
  - mit
  - unknown
task_categories:
  - question-answering
language:
  - en
pretty_name: math-vault
size_categories:
  - 10K<n<100K
tags:
  - math
  - reasoning
  - benchmark
  - mathematics
configs:
  - config_name: all
    data_files: data/all.jsonl
    default: true
  - config_name: aime_2024
    data_files: data/aime_2024/train.jsonl
  - config_name: aime_2025
    data_files: data/aime_2025/train.jsonl
  - config_name: aime_2026
    data_files: data/aime_2026/train.jsonl
  - config_name: aimo_validation_aime
    data_files: data/aimo_validation_aime/train.jsonl
  - config_name: aimo_validation_amc
    data_files: data/aimo_validation_amc/train.jsonl
  - config_name: amc_2023
    data_files: data/amc_2023/train.jsonl
  - config_name: brumo_2025
    data_files: data/brumo_2025/train.jsonl
  - config_name: cmimc_2025
    data_files: data/cmimc_2025/train.jsonl
  - config_name: dapo_math_17k_dedup
    data_files: data/dapo_math_17k_dedup/train.jsonl
  - config_name: gsm8k
    data_files: data/gsm8k/train.jsonl
  - config_name: hmmt_feb_2025
    data_files: data/hmmt_feb_2025/train.jsonl
  - config_name: math_500
    data_files: data/math_500/train.jsonl
  - config_name: minerva_math
    data_files: data/minerva_math/train.jsonl
  - config_name: olympiad_bench
    data_files: data/olympiad_bench/train.jsonl
  - config_name: omni_math
    data_files: data/omni_math/train.jsonl

math-vault

One format. Clear provenance. Parser-verified. The current snapshot has 15 evaluation subsets, ready to eval.

Most math datasets on HF come in different shapes — Parquet, JSON, tar.gz, custom splits, inconsistent answer formats. math-vault normalizes them all to a single canonical schema (id / problem / answer / dataset) and verifies every answer through a unified parser.

This repo is the consumption layer. For full source history, per-dataset provenance READMEs, build scripts, and derived variants, see the complete repository at Geraldxm/math-vault.

	Typical HF dataset	math-vault
Format	Per-dataset custom schema	Unified `id/problem/answer/dataset` JSONL
Provenance	Often unclear	Each dataset tracked to upstream — see GitHub
Answer verification	None	All answers parsed through Math-Verify 0.9.0
Ready to eval	Requires custom loading scripts	Drop into math-eval directly

Quick start

from datasets import load_dataset

# Load all 32,226 rows (`all` is the default config)
ds = load_dataset("Geraldxm/math-vault", split="train")

# Or load one subset directly by its named config
aime = load_dataset("Geraldxm/math-vault", "aime_2024", split="train")

Config names exactly match the machine-readable dataset values below. Each ID is globally unique: aime_2024/60, gsm8k/0, dapo_math_17k_dedup/a5676144-....

The collection is open to future additions: add a normalized data/<dataset>/train.jsonl file and a matching config entry for each new subset, while retaining the same schema and provenance requirements.

Dataset contents

Use the exact value in the dataset column when filtering. The current snapshot contains 15 evaluation subsets and 32,226 parser-valid evaluation rows. A further 19 Omni-MATH records are quarantined for audit and are not included here or in evaluation.

Display name	`dataset` value	Rows
DAPO-Math-17K Dedup	`dapo_math_17k_dedup`	17,176
GSM8K	`gsm8k`	8,792
Omni-MATH	`omni_math`	4,409
OlympiadBench	`olympiad_bench`	674
MATH-500	`math_500`	500
Minerva-Math	`minerva_math`	272
AIMO Validation AIME	`aimo_validation_aime`	90
AIMO Validation AMC	`aimo_validation_amc`	83
AMC 2023	`amc_2023`	40
CMIMC 2025	`cmimc_2025`	40
AIME 2024	`aime_2024`	30
AIME 2025	`aime_2025`	30
AIME 2026	`aime_2026`	30
BrUMO 2025	`brumo_2025`	30
HMMT February 2025	`hmmt_feb_2025`	30
Total	—	32,226

Licensing

The repository code and documentation are MIT-licensed. Dataset rows retain their upstream terms; this collection does not relicense them. The card metadata lists every license class present: Apache-2.0, CC BY-NC-SA 4.0, MIT, and unknown where an upstream source declares no license. Check the per-dataset provenance and license records before use or redistribution.

Citation

math-vault (this dataset):

@dataset{ge_math_vault_2026,
  author  = {Ge, Xinmu},
  title   = {math-vault: Curated, Traceable Snapshots of Public Mathematical Reasoning Datasets},
  year    = {2026},
  version = {v0.1.0},
  doi     = {10.5281/zenodo.21411214},
  url     = {https://doi.org/10.5281/zenodo.21411214}
}

math-eval (the evaluation framework):

@software{ge_math_eval_2026,
  author  = {Ge, Xinmu},
  title   = {math-eval: Reproducible Mathematical Reasoning Generation and Evaluation},
  year    = {2026},
  doi     = {10.5281/zenodo.21411207},
  url     = {https://github.com/Geraldxm/math-eval},
  license = {Apache-2.0}
}