ocw courses dataset

ocw.py

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+"""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

test_dataloader.py

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+from datasets import load_dataset
+
+data = load_dataset("ocw.py")
+
+[print(row) for row in data["test"]]
+print(data)