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"""A collocations dictionary of modern Slovene""" |
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import xml.etree.ElementTree as ET |
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import json |
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import os |
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import datasets |
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_CITATION = """\ |
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@inproceedings{kosem2018collocations, |
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title={Collocations dictionary of modern Slovene}, |
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author={Kosem, Iztok and Krek, Simon and Gantar, Polona and Arhar Holdt, {\v{S}}pela and {\v{C}}ibej, Jaka and Laskowski, Cyprian}, |
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booktitle={Proceedings of the XVIII EURALEX International Congress: Lexicography in Global Contexts}, |
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pages={989--997}, |
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year={2018}, |
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organization={Znanstvena zalo{\v{z}}ba Filozofske fakultete Univerze v Ljubljani} |
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}""" |
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_DESCRIPTION = """\ |
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The database of the Collocations Dictionary of Modern Slovene 1.0 contains collocations that were automatically |
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extracted from the Gigafida 1.0 corpus and then postprocessed. |
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""" |
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_HOMEPAGE = "https://www.cjvt.si/kssj/en/" |
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_LICENSE = "Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)" |
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_URLS = { |
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"slo_collocations": "https://www.clarin.si/repository/xmlui/bitstream/handle/11356/1250/KSSS.zip" |
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} |
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class SloCollocations(datasets.GeneratorBasedBuilder): |
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"""A collocations dictionary of modern Slovene""" |
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VERSION = datasets.Version("1.0.0") |
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def _info(self): |
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features = datasets.Features({ |
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"collocation": datasets.Value("string"), |
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"cluster": datasets.Value("uint32"), |
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"words": datasets.Sequence(datasets.Value("string")), |
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"sloleks_ids": datasets.Sequence(datasets.Value("string")), |
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"gramrel": datasets.Value("string"), |
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"sense": datasets.Value("uint32"), |
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"id_lex_unit": datasets.Value("string"), |
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"lex_unit": datasets.Value("string"), |
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"lex_unit_category": datasets.Value("string") |
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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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license=_LICENSE, |
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citation=_CITATION |
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) |
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def _split_generators(self, dl_manager): |
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urls = _URLS["slo_collocations"] |
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data_dir = dl_manager.download_and_extract(urls) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={"data_dir": os.path.join(data_dir, "KSSS")} |
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) |
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] |
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def _generate_examples(self, data_dir): |
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CATEGORY_MAPPING = {"samostalnik": "noun", "glagol": "verb", "pridevnik": "adjective", "prislov": "adverb"} |
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all_file_paths = [] |
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for cat_slo in ["glagol", "pridevnik", "prislov", "samostalnik"]: |
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_curr_dir = os.path.join(data_dir, cat_slo) |
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for _fname in os.listdir(_curr_dir): |
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if os.path.isfile(os.path.join(_curr_dir, _fname)) and _fname.endswith(".xml"): |
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all_file_paths.append(os.path.join(_curr_dir, _fname)) |
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idx_ex = 0 |
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for file_path in all_file_paths: |
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curr_doc = ET.parse(file_path) |
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root = curr_doc.getroot() |
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header_tag = root.find("header") |
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lu_tag = header_tag.find("lexical_unit") |
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id_lu = lu_tag.attrib["id"] |
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lu_form = lu_tag.text |
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category = CATEGORY_MAPPING[header_tag.find("category").text.strip()] |
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for idx_sense, sense_tag in enumerate(root.findall(".//sense")): |
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for gramrel_tag in sense_tag.findall(".//gramrel"): |
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gramrel = gramrel_tag.attrib["name"] |
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for colloc_tag in gramrel_tag.findall(".//collocation"): |
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colloc_form = colloc_tag.attrib["form"] |
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colloc_cluster = colloc_tag.attrib["cluster"] |
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colloc_words, sloleks_ids = [], [] |
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for comp_tag in colloc_tag.findall("comp"): |
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colloc_words.append(comp_tag.text) |
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sloleks_ids.append(comp_tag.attrib["sloleks"]) |
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yield idx_ex, { |
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"collocation": colloc_form, |
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"cluster": int(colloc_cluster), |
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"words": colloc_words, |
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"sloleks_ids": sloleks_ids, |
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"gramrel": gramrel, |
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"sense": idx_sense, |
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"id_lex_unit": id_lu, |
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"lex_unit": lu_form, |
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"lex_unit_category": category, |
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} |
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idx_ex += 1 |
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