Datasetpublic

rodriguescarson/adaption-math-worked-solutions-raw

NuminaMath Worked Solutions Competition and school maths problems with step-by-step solutions. Rows 3,000 Domain mathematics Format data.parquet, one row per example Licence apache-2.0 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 Empty in this… See the full description on the dataset page: https://huggingface.co/datasets/rodriguescarson/adaption-math-worked-solutions-raw.

sourceHugging Faceapache-2.0updated 14d agoView on Hugging Face

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Dataset Card

NuminaMath Worked Solutions

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


Rows	3,000
Domain	mathematics
Format	`data.parquet`, one row per example
Licence	apache-2.0
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`	Empty in this dataset.
`enhanced_completion`	Empty in this dataset.

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

—Columns enhanced_prompt, enhanced_completion are empty in this dataset (the Adaption export reserves them for rewritten text).

Loading

python

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

python

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

Published by Carson Rodrigues (Hugging Face, Kaggle).