Datasets:
Languages:
Russian
Multilinguality:
monolingual
Size Categories:
unknown
Language Creators:
machine-generated
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
License:
| """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"] | |
| )} |