Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
| 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](https://github.com/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](https://github.com/Geraldxm/math-eval) directly | | |
| ## Quick start | |
| ```python | |
| 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](https://github.com/Geraldxm/math-vault#%E6%95%B0%E6%8D%AE%E7%9B%AE%E5%BD%95) before use or redistribution. | |
| ## Citation | |
| **math-vault** (this dataset): | |
| ```bibtex | |
| @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): | |
| ```bibtex | |
| @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} | |
| } | |
| ``` | |