zhangir-azerbayev
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Revert "Fix Dataset Viewer (#2)"
Browse filesThis reverts commit 0a04f150620ad256bc01da0e83a85e4df0701186.
- README.md +0 -25
- proof-pile-2.py +157 -0
README.md
CHANGED
@@ -7,31 +7,6 @@ tags:
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- math
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size_categories:
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- 10B<n<100B
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configs:
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- config_name: arxiv
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data_files:
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- split: train
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path: arxiv/train/*.jsonl.zst
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- split: validation
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path: arxiv/validation/*.jsonl.zst
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- split: test
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path: arxiv/test/*.jsonl.zst
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- config_name: open-web-math
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data_files:
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- split: train
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path: open-web-math/train/*.jsonl.zst
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- split: validation
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path: open-web-math/validation/*.jsonl.zst
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- split: test
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path: open-web-math/test/*.jsonl.zst
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- config_name: algebraic-stack
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data_files:
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- split: train
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path: algebraic-stack/train/*.jsonl.zst
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- split: validation
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path: algebraic-stack/validation/*.jsonl.zst
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- split: test
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path: algebraic-stack/test/*.jsonl.zst
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---
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<img src="proofpile_logo.jpg" width="500">
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- math
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size_categories:
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- 10B<n<100B
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---
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<img src="proofpile_logo.jpg" width="500">
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proof-pile-2.py
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@@ -0,0 +1,157 @@
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import json
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import os
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import zstandard as zstd
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import datasets
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_CITATION="""\
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@article{azerbayev2023llemma,
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title={Llemma: an open language model for mathematics},
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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},
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eprint={xyz.xyz},
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archivePrefix={arXiv}
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year={2023}
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}
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"""
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_DESCRIPTION = """\
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A dataset of high quality mathematical text. """
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_HOMEPAGE = "https://github.com/EleutherAI/math-lm"
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SPLITS = ["train", "validation", "test"]
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_DATA_PATHS = {
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"arxiv": {
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split: [f'arxiv/{split}/arXiv_{str(i).zfill(3)}.jsonl.zst' for i in range(100)]
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for split in SPLITS
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},
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"open-web-math": {
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split: [
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os.path.join(f"open-web-math/{split}", filename)
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for filename in os.listdir(f"open-web-math/{split}")
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]
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for split in SPLITS
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},
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"algebraic-stack": {
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split: [
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os.path.join(f"algebraic-stack/{split}", filename)
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for filename in os.listdir(f"algebraic-stack/{split}")
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]
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for split in SPLITS
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}
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}
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class ProofPile2Config(datasets.BuilderConfig):
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"""BuilderConfig for RedPajama sample."""
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def __init__(self, *args, subsets, **kwargs):
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"""BuilderConfig for ProofPile2.
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Args:
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**kwargs: keyword arguments forwarded to super.
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"""
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super(ProofPile2Config, self).__init__(**kwargs)
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self.subsets = subsets
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class ProofPile2(datasets.GeneratorBasedBuilder):
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"""A large dataset of mathematical text."""
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VERSION = datasets.Version("1.1.0")
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# This is an example of a dataset with multiple configurations.
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# If you don't want/need to define several sub-sets in your dataset,
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# just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
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# If you need to make complex sub-parts in the datasets with configurable options
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# You can create your own builder configuration class to store attribute, inheriting from ProofPile2Config
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# BUILDER_CONFIG_CLASS = MyBuilderConfig
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# You will be able to load one or the other configurations in the following list with
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# data = datasets.load_dataset('my_dataset', 'first_domain')
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# data = datasets.load_dataset('my_dataset', 'second_domain')
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BUILDER_CONFIGS = [
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ProofPile2Config(
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name='default',
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subsets=list(_DATA_PATHS.keys()),
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version=VERSION,
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description="All subsets"
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),
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ProofPile2Config(
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name='arxiv',
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subsets=["arxiv"],
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version=VERSION,
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description="ArXiv subset"
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),
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ProofPile2Config(
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name='open-web-math',
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subsets=['open-web-math'],
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version=VERSION,
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description="OpenWebMath"
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),
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ProofPile2Config(
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name='algebraic-stack',
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subsets=['algebraic-stack'],
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version=VERSION,
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description="Code subset"
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),
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]
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def _info(self):
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features = datasets.Features(
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{
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"text": datasets.Value("string"),
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"meta": datasets.Value("string")
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}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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homepage=_HOMEPAGE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"data_files": list(map(
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dl_manager.download,
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[x for subset in self.config.subsets for x in _DATA_PATHS[subset]["train"]]
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)),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"data_files": list(map(
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dl_manager.download,
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[x for subset in self.config.subsets for x in _DATA_PATHS[subset]["validation"]]
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)),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"data_files": list(map(
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dl_manager.download,
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[x for subset in self.config.subsets for x in _DATA_PATHS[subset]["test"]]
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)),
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},
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),
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]
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# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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def _generate_examples(self, data_files):
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key = 0
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for name in data_files:
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with zstd.open(open(name, "rb"), "rt", encoding="utf-8") as f:
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for x in f.readlines():
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instance = json.loads(x)
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if instance:
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if "meta" not in instance:
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instance["meta"] = dict()
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yield key, {"text": instance["text"], "meta": json.dumps(instance["meta"])}
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key += 1
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