| """HSE Russian dataset by Glushkova et al..""" |
|
|
| import datasets |
| import pandas as pd |
| from functools import reduce |
|
|
| _CITATION = """ |
| @article{glushkova2019char, |
| title={Char-RNN and Active Learning for Hashtag Segmentation}, |
| author={Glushkova, Taisiya and Artemova, Ekaterina}, |
| journal={arXiv preprint arXiv:1911.03270}, |
| year={2019} |
| } |
| """ |
|
|
| _DESCRIPTION = """ |
| 2000 real hashtags collected from several pages about civil services on vk.com (a Russian social network) |
| and then segmented manually. |
| """ |
| _URL = "https://raw.githubusercontent.com/glushkovato/hashtag_segmentation/master/data/test_rus.csv" |
|
|
|
|
| class HSE(datasets.GeneratorBasedBuilder): |
|
|
| VERSION = datasets.Version("1.0.0") |
|
|
| def _info(self): |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=datasets.Features( |
| { |
| "index": datasets.Value("int32"), |
| "hashtag": datasets.Value("string"), |
| "segmentation": datasets.Value("string") |
| } |
| ), |
| supervised_keys=None, |
| homepage="https://github.com/glushkovato/hashtag_segmentation", |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| downloaded_files = dl_manager.download(_URL) |
| return [ |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files }), |
| ] |
|
|
| def _generate_examples(self, filepath): |
|
|
| df = pd.read_csv(filepath) |
| records = df.to_dict("records") |
|
|
| def get_segmentation(a, b): |
| return "".join(reduce(lambda x,y: x + y, list(zip(a,b)))).replace("0","").replace("1"," ").strip() |
|
|
| for idx, row in enumerate(records): |
| yield idx, { |
| "index": idx, |
| "hashtag": row["hashtag"], |
| "segmentation": get_segmentation( |
| row["hashtag"], |
| row["true_segmentation"] |
| )} |
