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  1. .gitattributes +2 -0
  2. test.csv +3 -0
  3. train.csv +3 -0
  4. victorian_authorship.py +82 -0
.gitattributes CHANGED
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+ test.csv filter=lfs diff=lfs merge=lfs -text
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+ train.csv filter=lfs diff=lfs merge=lfs -text
test.csv ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:b8ebb429790d3639c17cd5f11c05b4fefb82ae51ae3ae14a6638d1b623630091
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+ size 265585562
train.csv ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:66136afe6b911e8777e934b5a92351f1ade17e9c5265f98d43f2f67048f3dffe
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+ size 193572713
victorian_authorship.py ADDED
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+ """Victorian."""
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+
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+ from typing import List
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+ from functools import partial
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+
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+ import datasets
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+
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+ import pandas
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+
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+
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+ VERSION = datasets.Version("1.0.0")
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+ _ORIGINAL_FEATURE_NAMES = [
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+ "text",
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+ "author"
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+ ]
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+ _BASE_FEATURE_NAMES = [
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+ "text",
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+ "author"
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+ ]
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+
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+ DESCRIPTION = "Victorian dataset from the Gungor thesis.\"."
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+ _HOMEPAGE = "https://scholarworks.iupui.edu/server/api/core/bitstreams/708a9870-915e-4d59-b54d-938af563c196/content"
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+ _URLS = ("https://scholarworks.iupui.edu/server/api/core/bitstreams/708a9870-915e-4d59-b54d-938af563c196/content")
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+ _CITATION = """
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+ @phdthesis{gungor2018benchmarking,
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+ title={Benchmarking authorship attribution techniques using over a thousand books by fifty victorian era novelists},
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+ author={Gungor, Abdulmecit},
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+ year={2018},
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+ school={Purdue University}
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+ }"""
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+
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+ # Dataset info
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+ urls_per_split = {
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+ "train": "https://huggingface.co/datasets/mstz/victorian_authorship/raw/main/train.csv",
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+ "test": "https://huggingface.co/datasets/mstz/victorian_authorship/raw/main/test.csv",
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+ }
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+ features_types_per_config = {
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+ "authorship": {
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+ "text": datasets.Value("string"),
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+ "author": datasets.ClassLabel(num_classes=50)
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+ }
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+ }
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+ features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
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+
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+
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+ class VictorianConfig(datasets.BuilderConfig):
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+ def __init__(self, **kwargs):
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+ super(VictorianConfig, self).__init__(version=VERSION, **kwargs)
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+ self.features = features_per_config[kwargs["name"]]
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+
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+
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+ class Victorian(datasets.GeneratorBasedBuilder):
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+ # dataset versions
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+ DEFAULT_CONFIG = "authorship"
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+ BUILDER_CONFIGS = [
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+ VictorianConfig(name="authorship",
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+ description="authorship"),
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+ ]
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+
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+
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+ def _info(self):
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+ info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
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+ features=features_per_config[self.config.name])
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+
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+ return info
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+
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+ def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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+ downloads = dl_manager.download_and_extract(urls_per_split)
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+
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+ return [
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+ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]}),
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+ datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloads["test"]})
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+ ]
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+
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+ def _generate_examples(self, filepath: str):
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+ data = pandas.read_csv(filepath, header=None)
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+ data.columns = _BASE_FEATURE_NAMES
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+
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+ for row_id, row in data.iterrows():
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+ data_row = dict(row)
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+
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+ yield row_id, data_row