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| """ASDIV dataset.""" |
|
|
|
|
| import os |
| import xml.etree.ElementTree as ET |
|
|
| import datasets |
|
|
|
|
| _CITATION = """\ |
| @misc{miao2021diverse, |
| title={A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers}, |
| author={Shen-Yun Miao and Chao-Chun Liang and Keh-Yih Su}, |
| year={2021}, |
| eprint={2106.15772}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.AI} |
| } |
| """ |
|
|
| _DESCRIPTION = """\ |
| ASDiv (Academia Sinica Diverse MWP Dataset) is a diverse (in terms of both language |
| patterns and problem types) English math word problem (MWP) corpus for evaluating |
| the capability of various MWP solvers. Existing MWP corpora for studying AI progress |
| remain limited either in language usage patterns or in problem types. We thus present |
| a new English MWP corpus with 2,305 MWPs that cover more text patterns and most problem |
| types taught in elementary school. Each MWP is annotated with its problem type and grade |
| level (for indicating the level of difficulty). |
| """ |
|
|
| _HOMEPAGE = "https://github.com/chaochun/nlu-asdiv-dataset" |
|
|
| |
| _LICENSE = "" |
|
|
| _URLS = "https://github.com/chaochun/nlu-asdiv-dataset/archive/55790e5270bb91ccfa5053194b25732534696b50.zip" |
|
|
|
|
| class ASDiv(datasets.GeneratorBasedBuilder): |
| """ASDiv: A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers""" |
|
|
| VERSION = datasets.Version("0.0.1") |
|
|
| BUILDER_CONFIGS = [ |
| datasets.BuilderConfig( |
| name="asdiv", |
| version=VERSION, |
| description="A diverse corpus for evaluating and developing english math word problem solvers", |
| ) |
| ] |
|
|
| def _info(self): |
| features = datasets.Features( |
| { |
| "body": datasets.Value("string"), |
| "question": datasets.Value("string"), |
| "solution_type": datasets.Value("string"), |
| "answer": datasets.Value("string"), |
| "formula": datasets.Value("string"), |
| } |
| ) |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=features, |
| homepage=_HOMEPAGE, |
| license=_LICENSE, |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| urls = _URLS |
| data_dir = dl_manager.download_and_extract(urls) |
| base_filepath = "nlu-asdiv-dataset-55790e5270bb91ccfa5053194b25732534696b50" |
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.VALIDATION, |
| |
| gen_kwargs={ |
| "filepath": os.path.join( |
| data_dir, base_filepath, "dataset", "ASDiv.xml" |
| ), |
| "split": datasets.Split.VALIDATION, |
| }, |
| ), |
| ] |
|
|
| |
| def _generate_examples(self, filepath, split): |
| tree = ET.parse(filepath) |
| root = tree.getroot() |
| for key, problem in enumerate(root.iter("Problem")): |
| yield key, { |
| "body": problem.find("Body").text, |
| "question": problem.find("Question").text, |
| "solution_type": problem.find("Solution-Type").text, |
| "answer": problem.find("Answer").text, |
| "formula": problem.find("Formula").text, |
| } |
|
|