Datasets:
Tasks:
Other
Modalities:
Text
Sub-tasks:
part-of-speech
Languages:
Polish
Size:
10K - 100K
Tags:
structure-prediction
License:
fix: Fix encoding and refactor nkjp-pos.py file
Browse files- nkjp-pos.py +43 -42
nkjp-pos.py
CHANGED
@@ -31,41 +31,41 @@ _URLS = {
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_HOMEPAGE = "http://clip.ipipan.waw.pl/NationalCorpusOfPolish"
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_POS_TAGS = {
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}
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@@ -79,10 +79,11 @@ class NKJPPOS(datasets.GeneratorBasedBuilder):
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{
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"id": datasets.Value("string"),
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"tokens": datasets.Sequence(datasets.Value("string")),
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"pos_tags": datasets.Sequence(
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}
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),
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homepage=_HOMEPAGE,
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@@ -90,7 +91,7 @@ class NKJPPOS(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(
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) -> List[datasets.SplitGenerator]:
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urls_to_download = _URLS
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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@@ -119,9 +120,9 @@ class NKJPPOS(datasets.GeneratorBasedBuilder):
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return data_line
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def _generate_examples(
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) -> Generator[Tuple[str, Dict[str, str]], None, None]:
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with open(filepath,
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for line in f:
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data_line = self._clean_line(json.loads(line))
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yield data_line["id"], data_line
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_HOMEPAGE = "http://clip.ipipan.waw.pl/NationalCorpusOfPolish"
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_POS_TAGS = {
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"adj",
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"adja",
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"adjc",
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"adjp",
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"adv",
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"aglt",
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"bedzie",
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"brev",
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"burk",
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"comp",
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"conj",
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"depr",
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"fin",
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"ger",
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"imps",
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"impt",
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"inf",
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"interj",
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"interp",
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"num",
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"numcol",
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"pact",
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"pant",
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"pcon",
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"ppas",
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"ppron12",
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"ppron3",
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"praet",
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"pred",
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"prep",
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"qub",
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"siebie",
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"subst",
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"winien",
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"xxx",
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}
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{
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"id": datasets.Value("string"),
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"tokens": datasets.Sequence(datasets.Value("string")),
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"pos_tags": datasets.Sequence(
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datasets.features.ClassLabel(
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names=list(_POS_TAGS), num_classes=len(_POS_TAGS)
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)
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),
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}
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),
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homepage=_HOMEPAGE,
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)
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def _split_generators(
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self, dl_manager: datasets.DownloadManager
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) -> List[datasets.SplitGenerator]:
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urls_to_download = _URLS
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return data_line
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def _generate_examples(
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self, filepath: str
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) -> Generator[Tuple[str, Dict[str, str]], None, None]:
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with open(filepath, "r", encoding="utf-8") as f:
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for line in f:
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data_line = self._clean_line(json.loads(line))
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yield data_line["id"], data_line
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