"""OCWCourses""" import json import os import re import zipfile import datasets logger = datasets.logging.get_logger(__name__) _CITATION = """\ @misc{lewkowycz2022solving, title={Solving Quantitative Reasoning Problems with Language Models}, author={Aitor Lewkowycz and Anders Andreassen and David Dohan and Ethan Dyer and Henryk Michalewski and Vinay Ramasesh and Ambrose Slone and Cem Anil and Imanol Schlag and Theo Gutman-Solo and Yuhuai Wu and Behnam Neyshabur and Guy Gur-Ari and Vedant Misra}, year={2022}, eprint={2206.14858}, archivePrefix={arXiv}, primaryClass={cs.CL} } """ _DESCRIPTION = """\ OCWCourses """ _URL = "https://openreview.net/forum?id=IFXTZERXdM7" _URLS = { "test": "https://openreview.net/attachment?id=IFXTZERXdM7&name=supplementary_material", } def _read_from_zip(zip_path, text_filename='minerva_supplement/ocw_courses_problems.text'): with zipfile.ZipFile(zip_path, 'r') as myzip: with myzip.open(text_filename) as myfile: return myfile.read().decode('utf-8') def _parse_latex(text): problems = re.findall(r'\\textbf{Problem:}(.*?)\\textbf{Solution:}', text, re.DOTALL) solutions = re.findall(r'\\textbf{Solution:}(.*?)(\\textbf{Problem:}|$)', text, re.DOTALL) parsed_list = [] for problem, solution in zip(problems, solutions): parsed_list.append({ 'problem': problem.strip(), 'solution': solution[0].strip() }) return parsed_list def _last_boxed_only_string(string): idx = string.rfind("\\boxed") if "\\boxed " in string: return "\\boxed " + string.split("\\boxed ")[-1].split("$")[0] if idx < 0: idx = string.rfind("\\fbox") if idx < 0: return None i = idx right_brace_idx = None num_left_braces_open = 0 while i < len(string): if string[i] == "{": num_left_braces_open += 1 if string[i] == "}": num_left_braces_open -= 1 if num_left_braces_open == 0: right_brace_idx = i break i += 1 if right_brace_idx is None: retval = None else: retval = string[idx : right_brace_idx + 1] return retval def _remove_boxed(s): if "\\boxed " in s: left = "\\boxed " assert s[: len(left)] == left return s[len(left) :] left = "\\boxed{" assert s[: len(left)] == left assert s[-1] == "}" return s[len(left) : -1] class OCWConfig(datasets.BuilderConfig): """BuilderConfig for OCW.""" def __init__(self, **kwargs): """BuilderConfig for OCW. Args: **kwargs: keyword arguments forwarded to super. """ super(OCWConfig, self).__init__(**kwargs) class OCWCourses(datasets.GeneratorBasedBuilder): """OCWCourses""" BUILDER_CONFIGS = [ OCWConfig( name="ocwcourses", version=datasets.Version("1.0.0", ""), description="OCWCourses", ), ] def _info(self): return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features( { "problem": datasets.Value("string"), "solution": datasets.Value("string"), "answer": datasets.Value("string"), } ), # No default supervised_keys (as we have to pass both question # and context as input). supervised_keys=None, homepage="https://openreview.net/forum?id=IFXTZERXdM7", citation=_CITATION, ) def _split_generators(self, dl_manager): downloaded_files = dl_manager.download_and_extract(_URLS) return [ datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}), ] def _generate_examples(self, filepath): """This function returns the examples in the raw (text) form.""" logger.info("generating examples from = %s", filepath) with open(os.path.join(filepath, "minerva_supplement/ocw_courses_problems.tex")) as f: text = f.read() parsed_problems_solutions = _parse_latex(text) rows = [{**x, "answer": _remove_boxed(_last_boxed_only_string(x["solution"]))} for x in parsed_problems_solutions] for key, row in enumerate(rows): yield key, row