Datasets:

rodriguescarson
/

adaption-math-problem-solutions-aug

license: other
pretty_name: NuminaMath Worked Solutions (Augmented)
language:
  - en
task_categories:
  - text-generation
  - question-answering
tags:
  - adaption
  - autoscientist
  - sft
  - instruction-tuning
  - fine-tuning
  - math
  - chain-of-thought
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data.parquet
license_name: mixed-see-card
source_datasets:
  - AI-MO/NuminaMath-CoT

NuminaMath Worked Solutions (Augmented)

Competition and school maths problems with step-by-step solutions.


Rows	27,962
Domain	mathematics
Format	`data.parquet`, one row per example
Licence	other
Built for	supervised fine-tuning (SFT) experiments on Adaption AutoScientist

Columns

Column	Description
`original_prompt`	The prompt (user turn) as uploaded.
`original_completion`	The target response as uploaded.
`enhanced_prompt`	Prompt after Adaption processing (rewrite or augmentation).
`enhanced_completion`	Response after Adaption processing (rewrite or augmentation).

How it was built

Sampled from NuminaMath-CoT, balanced across its sources and decontaminated against MATH-500, GSM8K test and the NuminaMath test split.

Sources and licence

AI-MO/NuminaMath-CoT (Apache-2.0)

Notes

This dataset was expanded by Adaption's augmentation, which adds platform-generated rows alongside the seed. The added rows are general-purpose and do not all match the dataset's topic; Adaption does not publish their provenance, so the licence is listed as other. The export does not mark which rows are seed and which were added.

Loading

from datasets import load_dataset
ds = load_dataset("rodriguescarson/adaption-math-problem-solutions-aug", split="train")

import pandas as pd
df = pd.read_parquet("hf://datasets/rodriguescarson/adaption-math-problem-solutions-aug/data.parquet")

Published by Carson Rodrigues (Hugging Face, Kaggle).