# NuminaMath-CoT by Project-Numina: AI Training Dataset
Source: https://savrn.com/datasets/numinamath-cot
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Dataset Card

By Project-Numina, published under apache-2.0, revision 9d8d210c9f6a.

### Dataset Card for NuminaMath CoT

### Dataset Description

- Homepage: https://projectnumina.ai
- Repository: https://github.com/project-numina/aimo-progress-prize
- Paper: https://github.com/project-numina/aimo-progress-prize/blob/main/report/numina_dataset.pdf
- Leaderboard:
- Point of Contact: Jia Li

#### Dataset Summary

Approximately 860k math problems, where each solution is formatted in a Chain of Thought (CoT) manner. The sources of the dataset range from Chinese high school math exercises to US and international mathematics olympiad competition problems. The data were primarily collected from online exam paper PDFs and mathematics discussion forums. The processing steps include (a) OCR from the original PDFs, (b) segmentation into problem-solution pairs, (c) Translation into English, (d) realignment to produce a CoT reasoning format, and (e) final answer formatting.

#### Source breakdown

| Source | Number of Samples |
| --- | --- |
| aops_forum | 30201 |
| amc_aime | 4072 |
| cn_k12 | 276591 |
| gsm8k | 7345 |
| math | 7478 |
| olympiads | 150581 |
| orca_math | 153334 |
| synthetic_amc | 62111 |
| synthetic_math | 167895 |
| Total | 859608 |

#### Licensing Information

The dataset is available under the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0).

#### Citation Information

[Read the full dataset card (213 words)](https://savrn.com/datasets/numinamath-cot/card)

## Structure

### default 859,594 rows

| Split | Rows | Size |
| --- | --- | --- |
| train | 859,494 | 2.5 GB |
| test | 100 | 282.4 KB |

sourcestringproblemstringsolutionstringmessageslist

## Details

Repository

AI-MO/NuminaMath-CoT

Publisher

Project-Numina

Task category

Text generation

Tags

aimo, math

Size category

Not stated by the source

Languages

en

Revision

9d8d210c9f6a36c8f3cd84045668c9b7800ef517

Last updated

2024-11-25

## SAVRN's Notes on NuminaMath-CoT

NuminaMath-CoT is supervised fine-tuning fuel: 859,594 math problems with chain-of-thought solutions, 1.2 GB, 8 files, 187.3k monthly downloads, tagged aimo and math, with text generation as the stated task. The source breakdown on the card tells you the flavor, dominated by cn_k12 at 276,591 samples, then aops_forum at 30,201 and amc_aime at 4,072, plus gsm8k, with the card's pipeline running OCR from the original exam PDFs, translation to English and realignment into CoT format.

Apache 2.0 makes it commercially clean, and 1.2 GB is cheap to store and ship. The disclosed inbound models show the intended path: slm-125m-base, slm-125m-sft and slm-125m-dpo are one lineage moving from base through SFT to preference tuning on this data. This is reasoning-format SFT data, not pretraining volume; plan one fine-tuning pass, not a corpus to mine. English only, last updated 2024-11-25.

SAVRN Research

## Files

8 files, 1.2 GB in total.

Data6 files · 1.2 GB

Documentation1 file · 2.7 KB

Repository1 file · 2.3 KB

Every file

| File | Type | Size | SHA-256 |
| --- | --- | --- | --- |
| data/test-00000-of-00001.parquet | Data | 165.9 KB | 62f94a9529fa |
| data/train-00000-of-00005.parquet | Data | 246.6 MB | 25c0fa2ca96d |
| data/train-00001-of-00005.parquet | Data | 246.9 MB | 2d4ba17018b6 |
| data/train-00002-of-00005.parquet | Data | 246.8 MB | c607c1837954 |
| data/train-00003-of-00005.parquet | Data | 246.9 MB | e07293604d1a |
| data/train-00004-of-00005.parquet | Data | 246.9 MB | e3929523d643 |
| README.md | Documentation | 2.7 KB | — |
| .gitattributes | Repository | 2.3 KB | — |

## License and Download

License

apache-2.0

Access

No access gate

[Download from Project-Numina](https://huggingface.co/datasets/AI-MO/NuminaMath-CoT)

Released by Project-Numina through its official repository on Hugging Face. [Read the license](https://www.apache.org/licenses/LICENSE-2.0).

## Models Trained on This Dataset

- Trained on (disclosed)[slm-125m-dpo](https://savrn.com/models/slm-125m-dpo)
- Trained on (disclosed)[slm-125m-sft](https://savrn.com/models/slm-125m-sft)
- Trained on (disclosed)[slm-125m-base](https://savrn.com/models/slm-125m-base)

## Project-Numina

[All models and datasets](https://savrn.com/model-publishers/ai-mo)

## Explore More

- [The dataset directory](https://savrn.com/datasets)
- [The model directory](https://savrn.com/models)
- [Research papers](https://savrn.com/papers)

## Source

- Repository metadata, read 2026-10-19.
- [Hugging Face record](https://huggingface.co/datasets/AI-MO/NuminaMath-CoT)
- [How the hub is built](https://savrn.com/model-hub/methodology)