Convert dataset to Parquet (#1)

- Convert dataset to Parquet (f06834690385b29df31ccc717250746a3ba0322b)
- Add 'algebra' config data files (3d268f457bf84d74e0bcb7b3011a394eeb8ceec2)
- Add 'counting_and_probability' config data files (e8bdccd062cbe20a4f9965ff0f82da2ae7ae8883)
- Add 'geometry' config data files (768e193c9983bc74b0a57f36461d81b212d9cc3e)
- Add 'intermediate_algebra' config data files (bab643b8bcb7f5c637c5d789536db0b99081d03e)
- Add 'number_theory' config data files (81e41a81df3b48d5cdab5df0319be0e96964bdf6)
- Add 'prealgebra' config data files (a77ca7ea6fd6d0dc1fe4ab234387a731070fdc63)
- Add 'precalculus' config data files (fd967f201149d3083d144b25175a0b2f45af8507)
- Delete loading script (6121f82cebfa401c8e18625bd70969af351e1a57)
- Delete data file (e157271a34f53f867a71e4e5b11eaf7d9bee4eb0)

MATH-lighteval.py

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

README.md

@@ -1,3 +1,205 @@
 ---
 license: mit
+dataset_info:
+- config_name: algebra
+  features:
+  - name: problem
+    dtype: string
+  - name: level
+    dtype: string
+  - name: solution
+    dtype: string
+  - name: type
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 955021
+    num_examples: 1744
+  - name: test
+    num_bytes: 648291
+    num_examples: 1187
+  download_size: 858300
+  dataset_size: 1603312
+- config_name: counting_and_probability
+  features:
+  - name: problem
+    dtype: string
+  - name: level
+    dtype: string
+  - name: solution
+    dtype: string
+  - name: type
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 667385
+    num_examples: 771
+  - name: test
+    num_bytes: 353803
+    num_examples: 474
+  download_size: 504386
+  dataset_size: 1021188
+- config_name: default
+  features:
+  - name: problem
+    dtype: string
+  - name: level
+    dtype: string
+  - name: solution
+    dtype: string
+  - name: type
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 5984772
+    num_examples: 7500
+  - name: test
+    num_bytes: 3732833
+    num_examples: 5000
+  download_size: 4848021
+  dataset_size: 9717605
+- config_name: geometry
+  features:
+  - name: problem
+    dtype: string
+  - name: level
+    dtype: string
+  - name: solution
+    dtype: string
+  - name: type
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1077241
+    num_examples: 870
+  - name: test
+    num_bytes: 523126
+    num_examples: 479
+  download_size: 813223
+  dataset_size: 1600367
+- config_name: intermediate_algebra
+  features:
+  - name: problem
+    dtype: string
+  - name: level
+    dtype: string
+  - name: solution
+    dtype: string
+  - name: type
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1157476
+    num_examples: 1295
+  - name: test
+    num_bytes: 795070
+    num_examples: 903
+  download_size: 969951
+  dataset_size: 1952546
+- config_name: number_theory
+  features:
+  - name: problem
+    dtype: string
+  - name: level
+    dtype: string
+  - name: solution
+    dtype: string
+  - name: type
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 595793
+    num_examples: 869
+  - name: test
+    num_bytes: 349455
+    num_examples: 540
+  download_size: 490656
+  dataset_size: 945248
+- config_name: prealgebra
+  features:
+  - name: problem
+    dtype: string
+  - name: level
+    dtype: string
+  - name: solution
+    dtype: string
+  - name: type
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 715611
+    num_examples: 1205
+  - name: test
+    num_bytes: 510195
+    num_examples: 871
+  download_size: 651355
+  dataset_size: 1225806
+- config_name: precalculus
+  features:
+  - name: problem
+    dtype: string
+  - name: level
+    dtype: string
+  - name: solution
+    dtype: string
+  - name: type
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 816245
+    num_examples: 746
+  - name: test
+    num_bytes: 552893
+    num_examples: 546
+  download_size: 595986
+  dataset_size: 1369138
+configs:
+- config_name: algebra
+  data_files:
+  - split: train
+    path: algebra/train-*
+  - split: test
+    path: algebra/test-*
+- config_name: counting_and_probability
+  data_files:
+  - split: train
+    path: counting_and_probability/train-*
+  - split: test
+    path: counting_and_probability/test-*
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+- config_name: geometry
+  data_files:
+  - split: train
+    path: geometry/train-*
+  - split: test
+    path: geometry/test-*
+- config_name: intermediate_algebra
+  data_files:
+  - split: train
+    path: intermediate_algebra/train-*
+  - split: test
+    path: intermediate_algebra/test-*
+- config_name: number_theory
+  data_files:
+  - split: train
+    path: number_theory/train-*
+  - split: test
+    path: number_theory/test-*
+- config_name: prealgebra
+  data_files:
+  - split: train
+    path: prealgebra/train-*
+  - split: test
+    path: prealgebra/test-*
+- config_name: precalculus
+  data_files:
+  - split: train
+    path: precalculus/train-*
+  - split: test
+    path: precalculus/test-*
 ---

data/MATH.zip → algebra/test-00000-of-00001.parquet

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+size 353114

algebra/train-00000-of-00001.parquet

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counting_and_probability/test-00000-of-00001.parquet

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intermediate_algebra/test-00000-of-00001.parquet

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number_theory/test-00000-of-00001.parquet

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prealgebra/test-00000-of-00001.parquet

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