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  1. MATH-lighteval.py +0 -114
MATH-lighteval.py DELETED
@@ -1,114 +0,0 @@
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- """Mathematics Aptitude Test of Heuristics (MATH) dataset, lighteval format with correct builder configs."""
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-
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- import json
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- import os
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-
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-
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- from datasets import load_dataset, Dataset, DatasetDict, GeneratorBasedBuilder, BuilderConfig, DatasetInfo, Value, Features, Split, SplitGenerator, Version
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-
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-
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- _CITATION = """\
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- @article{hendrycksmath2021,
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- title={Measuring Mathematical Problem Solving With the MATH Dataset},
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- author={Dan Hendrycks
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- and Collin Burns
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- and Saurav Kadavath
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- and Akul Arora
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- and Steven Basart
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- and Eric Tang
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- and Dawn Song
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- and Jacob Steinhardt},
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- journal={arXiv preprint arXiv:2103.03874},
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- year={2021}
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- }
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- """
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-
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-
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- _DESCRIPTION = """\
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- The Mathematics Aptitude Test of Heuristics (MATH) dataset consists of problems
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- from mathematics competitions, including the AMC 10, AMC 12, AIME, and more.
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- Each problem in MATH has a full step-by-step solution, which can be used to teach
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- models to generate answer derivations and explanations. This version of the dataset
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- includes appropriate builder configs s.t. it can be used as a drop-in replacement
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- for the now missing lighteval/MATH dataset.
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- """
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-
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-
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- _HOMEPAGE = "https://github.com/hendrycks/math"
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-
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-
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- _LICENSE = "https://github.com/hendrycks/math/blob/main/LICENSE"
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-
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-
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- # Original data URL: "https://people.eecs.berkeley.edu/~hendrycks/MATH.tar"
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- _URL = "data/MATH.zip"
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-
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-
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- class FilteredTypeConfig(BuilderConfig):
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- def __init__(self, type_value, type_name, **kwargs):
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- super().__init__(**kwargs)
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- self.type_value = type_value
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- self.type_name = type_name
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-
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- class FilteredTypeDatasetBuilder(GeneratorBasedBuilder):
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- """Mathematics Aptitude Test of Heuristics (MATH) dataset."""
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-
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- VERSION = Version("1.0.0")
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-
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- BUILDER_CONFIGS = [FilteredTypeConfig(
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- name="default",
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- version="1.0.0",
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- description=f"default builder config",
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- type_name="default", # for builder config
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- type_value="default", # in original dataset
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- )] + [
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- FilteredTypeConfig(
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- name=type_name,
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- version="1.0.0",
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- description=f"Dataset filtered by type: {type_value}",
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- type_name=type_name, # for builder config
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- type_value=type_value, # in original dataset
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- )
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- for type_name, type_value in [("algebra", "Algebra"), ("counting_and_probability", "Counting & Probability"), ("geometry", "Geometry"), ("intermediate_algebra", "Intermediate Algebra"), ("number_theory", "Number Theory"), ("prealgebra", "Prealgebra"), ("precalculus", "Precalculus")]
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- ]
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-
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- def _info(self):
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- return DatasetInfo(
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- description=_DESCRIPTION,
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- features=Features({
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- "problem": Value("string"),
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- "level": Value("string"),
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- "solution": Value("string"),
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- "type": Value("string"),
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- }),
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- supervised_keys=None,
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- homepage=_HOMEPAGE,
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- license=_LICENSE,
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- citation=_CITATION
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- )
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-
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- def _split_generators(self, dl_manager):
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- """Returns SplitGenerators."""
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- download_dir = dl_manager.download_and_extract(_URL)
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- return [
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- SplitGenerator(
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- name=Split.TRAIN,
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- gen_kwargs={"data_dir": dl_manager.iter_files(os.path.join(download_dir, "MATH", "train"))},
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- ),
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- SplitGenerator(
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- name=Split.TEST,
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- gen_kwargs={"data_dir": dl_manager.iter_files(os.path.join(download_dir, "MATH", "test"))},
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- ),
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- ]
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-
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- def _generate_examples(self, data_dir):
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- type_value = self.config.type_value # Access the type value for the current config
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-
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- """Yields examples as (key, example) tuples. Filters by type if appropriate builder config is given."""
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- for id_, filepath in enumerate(data_dir):
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- with open(filepath, "rb") as fin:
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- example = json.load(fin)
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- if type_value == "default" or example["type"] == type_value:
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- yield id_, example
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-
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-