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import json
import os
import zstandard as zstd
import datasets
_CITATION="""\
@article{azerbayev2023llemma,
title={Llemma: an open language model for mathematics},
author={Zhangir Azerbayev and Hailey Schoelkopf and Keiran Paster and Marco Dos Santos and Stephen McAleer and Albert Q. Jiang and Jia Deng and Stella Biderman and Sean Welleck},
eprint={xyz.xyz},
archivePrefix={arXiv}
year={2023}
}
"""
_DESCRIPTION = """\
A dataset of high quality mathematical text. """
_HOMEPAGE = "https://github.com/EleutherAI/math-lm"
class ProofPile2Config(datasets.BuilderConfig):
"""BuilderConfig for RedPajama sample."""
def __init__(self, *args, subsets, **kwargs):
"""BuilderConfig for ProofPile2.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(ProofPile2Config, self).__init__(**kwargs)
self.subsets = subsets
class ProofPile2(datasets.GeneratorBasedBuilder):
"""A large dataset of mathematical text."""
VERSION = datasets.Version("1.1.0")
# This is an example of a dataset with multiple configurations.
# If you don't want/need to define several sub-sets in your dataset,
# just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
# If you need to make complex sub-parts in the datasets with configurable options
# You can create your own builder configuration class to store attribute, inheriting from ProofPile2Config
# BUILDER_CONFIG_CLASS = MyBuilderConfig
# You will be able to load one or the other configurations in the following list with
# data = datasets.load_dataset('my_dataset', 'first_domain')
# data = datasets.load_dataset('my_dataset', 'second_domain')
BUILDER_CONFIGS = [
ProofPile2Config(
name='default',
subsets=['arxiv', 'open-web-math', 'algebraic-stack'],
version=VERSION,
description="All subsets"
),
ProofPile2Config(
name='arxiv',
subsets=["arxiv"],
version=VERSION,
description="ArXiv subset"
),
ProofPile2Config(
name='open-web-math',
subsets=['open-web-math'],
version=VERSION,
description="OpenWebMath"
),
ProofPile2Config(
name='algebraic-stack',
subsets=['algebraic-stack'],
version=VERSION,
description="Code subset"
),
]
def _info(self):
features = datasets.Features(
{
"text": datasets.Value("string"),
"meta": datasets.Value("string")
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
return [
datasets.SplitGenerator(
name=split_obj,
# These kwargs will be passed to _generate_examples
gen_kwargs={
"data_files": list(map(
dl_manager.download,
[
x
for subset in self.config.subsets
for x in dl_manager.iter_files(os.path.join(subset, split))
for subset in self.config.subsets
]
))
},
)
for split, split_obj in zip(
("train", "validation", "test"),
(datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST)
)
]
def _generate_examples(self, data_files):
key = 0
for name in data_files:
with zstd.open(open(name, "rb"), "rt", encoding="utf-8") as f:
for x in f.readlines():
instance = json.loads(x)
if instance:
if "meta" not in instance:
instance["meta"] = dict()
yield key, {"text": instance["text"], "meta": json.dumps(instance["meta"])}
key += 1
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