| """HashSet dataset."""
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|
|
| import datasets
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| import pandas as pd
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|
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| _CITATION = """
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| @article{kodali2022hashset,
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| title={HashSet--A Dataset For Hashtag Segmentation},
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| author={Kodali, Prashant and Bhatnagar, Akshala and Ahuja, Naman and Shrivastava, Manish and Kumaraguru, Ponnurangam},
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| journal={arXiv preprint arXiv:2201.06741},
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| year={2022}
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| }
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| """
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|
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| _DESCRIPTION = """
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| Hashset is a new dataset consisiting on 1.9k manually annotated and 3.3M loosely supervised tweets for testing the
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| efficiency of hashtag segmentation models. We compare State of The Art Hashtag Segmentation models on Hashset and other
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| baseline datasets (STAN and BOUN). We compare and analyse the results across the datasets to argue that HashSet can act
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| as a good benchmark for hashtag segmentation tasks.
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|
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| HashSet Distant: 3.3M loosely collected camel cased hashtags containing hashtag and their segmentation.
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|
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| HashSet Distant Sampled is a sample of 20,000 camel cased hashtags from the HashSet Distant dataset.
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| """
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| _URL = "https://raw.githubusercontent.com/prashantkodali/HashSet/master/datasets/hashset/HashSet-Distant-sampled.csv"
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|
|
| class HashSetDistantSampled(datasets.GeneratorBasedBuilder):
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|
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| VERSION = datasets.Version("1.0.0")
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|
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| def _info(self):
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| return datasets.DatasetInfo(
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| description=_DESCRIPTION,
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| features=datasets.Features(
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| {
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| "index": datasets.Value("int32"),
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| "hashtag": datasets.Value("string"),
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| "segmentation": datasets.Value("string")
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| }
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| ),
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| supervised_keys=None,
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| homepage="https://github.com/prashantkodali/HashSet/",
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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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| downloaded_files = dl_manager.download(_URL)
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| return [
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| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files }),
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| ]
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|
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| def _generate_examples(self, filepath):
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| records = pd.read_csv(filepath).to_dict("records")
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| for idx, row in enumerate(records):
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| yield idx, {
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| "index": row["Unnamed: 0.1"],
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| "hashtag": row["Unsegmented_hashtag"],
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| "segmentation": row["Segmented_hashtag"]
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| }
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|
|
