math-qa
yzhuang_-_Meta-Llama-3-8B-Instruct_fictional_mathqa_English_v1-ggufFalcon3-7B-Instruct_mathqa-GGUFOLMo-2-0425-1B_math_cpt_math_textbooks_qaMeta-Llama-3-8B-Instruct_fictional_mathqa_Japanese_v1Mistral-7B-Instruct-v0.1_fictional_mathqa_Japanese_v1llama-3.2-1b_unslot_qlora_mathqadeepseek-r1-qwen3-8b-indonesian-math-qaQwen1.5-7B-Chat-v0.1_fictional_mathqa_Japanese_v2
Datasets
All datasets matching “math-qa”math_qaOur dataset is gathered by using a new representation language to annotate over the AQuA-RAT dataset. AQuA-RAT has provided the questions, options, rationale, and the correct options.agieval-gaokao-mathqa
Dataset Card for "agieval-gaokao-mathqa"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo, following dmayhem93/agieval-* datasets on the HF hub.
This dataset contains the contents of the Gaokao MathQA subtask of AGIEval, as accessed in https://github.com/ruixiangcui/AGIEval/commit/5c77d073fda993f1652eaae3cf5d04cc5fd21d40 .
Citation:
@misc{zhong2023agieval,
title={AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models}… See the full description on the dataset page: https://huggingface.co/datasets/hails/agieval-gaokao-mathqa.math_qaThe MathQA dataset without needing to run remote code, so it is compatible with datasets >= 4.0.0.
agieval-gaokao-mathqa
Dataset Card for "agieval-gaokao-mathqa"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell… See the full description on the dataset page: https://huggingface.co/datasets/dmayhem93/agieval-gaokao-mathqa.math-qaCalc-math_qa
Dataset Card for Calc-math_qa
Summary
This dataset is an instance of math_qa dataset, converted to a simple HTML-like language that can be easily parsed (e.g. by BeautifulSoup). The data contains 3 types of tags:
gadget: A tag whose content is intended to be evaluated by calling an external tool (sympy-based calculator in this case)
output: An output of the external tool
result: The final answer of the mathematical problem (correct option)
Supported Tasks… See the full description on the dataset page: https://huggingface.co/datasets/MU-NLPC/Calc-math_qa.