Datasets:
Tasks:
Token Classification
Languages:
Polish
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
License:
| import conllu | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| _CITATION = "" | |
| BY_NAME = "by_name" | |
| BY_TYPE = "by_type" | |
| TAGSET_NKJP = "nkjp" | |
| TAGSET_UD = "ud" | |
| EXTENSION_CONLL = "conll" | |
| EXTENSION_CONLLU = "conllu" | |
| EXTENSION_CONLL_SPACE_AFTER = "conll_space_after" | |
| _EXTENSIONS = [EXTENSION_CONLL, EXTENSION_CONLLU, EXTENSION_CONLL_SPACE_AFTER] | |
| _DESCRIPTION = { | |
| BY_NAME: { | |
| TAGSET_NKJP: "NLPrePL divided by document name for NKJP tagset", | |
| TAGSET_UD: "NLPrePL divided by document name for UD tagset" | |
| }, | |
| BY_TYPE: { | |
| TAGSET_NKJP: "NLPrePL divided by document type for NKJP tagset", | |
| TAGSET_UD: "NLPrePL divided by document type for UD tagset" | |
| } | |
| } | |
| _TYPES = [BY_NAME, BY_TYPE] | |
| _TAGSETS = [TAGSET_NKJP, TAGSET_UD] | |
| _URLS = { | |
| BY_NAME: { | |
| EXTENSION_CONLLU: { | |
| TAGSET_NKJP: { | |
| 'train': "nkjp_tagset/fair_by_document_name/_conllu/train_nlprepl-nkjp.conllu.gz", | |
| 'dev': "nkjp_tagset/fair_by_document_name/_conllu/dev_nlprepl-nkjp.conllu.gz", | |
| 'test': "nkjp_tagset/fair_by_document_name/_conllu/test_nlprepl-nkjp.conllu.gz" | |
| }, | |
| TAGSET_UD: { | |
| 'train': "ud_tagset/fair_by_document_name/_conllu/train_nlprepl-ud.conllu.gz", | |
| 'dev': "ud_tagset/fair_by_document_name/_conllu/dev_nlprepl-ud.conllu.gz", | |
| 'test': "ud_tagset/fair_by_document_name/_conllu/test_nlprepl-ud.conllu.gz" | |
| } | |
| }, | |
| EXTENSION_CONLL: { | |
| TAGSET_NKJP: { | |
| 'train': "nkjp_tagset/fair_by_document_name/_conll/train_nlprepl-nkjp.conll.gz", | |
| 'dev': "nkjp_tagset/fair_by_document_name/_conll/dev_nlprepl-nkjp.conll.gz", | |
| 'test': "nkjp_tagset/fair_by_document_name/_conll/test_nlprepl-nkjp.conll.gz" | |
| } | |
| }, | |
| EXTENSION_CONLL_SPACE_AFTER: { | |
| TAGSET_NKJP: { | |
| 'train': "nkjp_tagset/fair_by_document_name/_conll_space_after/multiword_space_after_train_nlprepl-nkjp.conll.gz", | |
| 'dev': "nkjp_tagset/fair_by_document_name/_conll_space_after/multiword_space_after_dev_nlprepl-nkjp.conll.gz", | |
| 'test': "nkjp_tagset/fair_by_document_name/_conll_space_after/multiword_space_after_test_nlprepl-nkjp.conll.gz" | |
| } | |
| }, | |
| }, | |
| BY_TYPE: { | |
| EXTENSION_CONLLU: { | |
| TAGSET_NKJP: { | |
| 'train': "nkjp_tagset/fair_by_document_type/_conllu/train_nlprepl-nkjp.conllu.gz", | |
| 'dev': "nkjp_tagset/fair_by_document_type/_conllu/dev_nlprepl-nkjp.conllu.gz", | |
| 'test': "nkjp_tagset/fair_by_document_type/_conllu/test_nlprepl-nkjp.conllu.gz" | |
| }, | |
| TAGSET_UD: { | |
| 'train': "ud_tagset/fair_by_document_type/_conllu/train_nlprepl-ud.conllu.gz", | |
| 'dev': "ud_tagset/fair_by_document_type/_conllu/dev_nlprepl-ud.conllu.gz", | |
| 'test': "ud_tagset/fair_by_document_type/_conllu/test_nlprepl-ud.conllu.gz" | |
| } | |
| }, | |
| EXTENSION_CONLL: { | |
| TAGSET_NKJP: { | |
| 'train': "nkjp_tagset/fair_by_document_type/_conll/train_nlprepl-nkjp.conll.gz", | |
| 'dev': "nkjp_tagset/fair_by_document_type/_conll/dev_nlprepl-nkjp.conll.gz", | |
| 'test': "nkjp_tagset/fair_by_document_type/_conll/test_nlprepl-nkjp.conll.gz" | |
| } | |
| }, | |
| EXTENSION_CONLL_SPACE_AFTER: { | |
| TAGSET_NKJP: { | |
| 'train': "nkjp_tagset/fair_by_document_type/_conllu_space_after/multiword_space_after_train_nlprepl-nkjp.conll.gz", | |
| 'dev': "nkjp_tagset/fair_by_document_type/_conllu_space_after/multiword_space_after_dev_nlprepl-nkjp.conll.gz", | |
| 'test': "nkjp_tagset/fair_by_document_type/_conllu_space_after/multiword_space_after_test_nlprepl-nkjp.conll.gz" | |
| } | |
| }, | |
| } | |
| } | |
| class NLPrePLConfig(datasets.BuilderConfig): | |
| """BuilderConfig for NKJP1M""" | |
| def __init__(self, tagset: str, extension: str, **kwargs): | |
| """BuilderConfig forNKJP1M. | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(NLPrePLConfig, self).__init__(**kwargs) | |
| self.tagset = tagset | |
| self.extension = extension | |
| class NLPrePL(datasets.GeneratorBasedBuilder): | |
| """NLPrePL dataset generator.""" | |
| BUILDER_CONFIGS = [ | |
| NLPrePLConfig( | |
| name=t + "-" + tagset + "-" + extension, | |
| version=datasets.Version("1.0.0"), | |
| tagset=tagset, | |
| extension=extension, | |
| description=_DESCRIPTION[t] | |
| ) | |
| for t in _URLS.keys() for extension in _URLS[t].keys() for tagset in _URLS[t][extension].keys() | |
| ] | |
| def _info(self): | |
| """Informative function about dataset features""" | |
| dataset, tagset, extension = self.config.name.split("-") | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION[dataset][tagset], | |
| features=datasets.Features( | |
| { | |
| "sent_id": datasets.Value("string"), | |
| "text": datasets.Value("string"), | |
| "orig_file_sentence": datasets.Value("string"), | |
| "id": datasets.Value("string"), | |
| "tokens": datasets.Sequence(datasets.Value("string")), | |
| "lemmas": datasets.Sequence(datasets.Value("string")), | |
| "upos": datasets.Sequence(datasets.Value("string")), | |
| "xpos": datasets.Sequence(datasets.Value("string")), | |
| "feats": datasets.Sequence(datasets.Value("string")), | |
| "head": datasets.Sequence(datasets.Value("string")), | |
| "deprel": datasets.Sequence(datasets.Value("string")), | |
| "deps": datasets.Sequence(datasets.Value("string")), | |
| "misc": datasets.Sequence(datasets.Value("string")), | |
| } | |
| ), | |
| supervised_keys=None, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators for train, dev, and test splits.""" | |
| dataset, tagset, extension = self.config.name.split("-") | |
| urls = _URLS[dataset][extension][tagset] | |
| downloaded_files = dl_manager.download_and_extract(urls) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={"filepath": downloaded_files["train"]}), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={"filepath": downloaded_files["dev"]}), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={"filepath": downloaded_files["test"]}), | |
| ] | |
| def _generate_examples(self, filepath: str): | |
| """Function to generate example datapoints for the dataset.""" | |
| def generate_misc_column(misc_content: dict): | |
| """Helper function that creates proper formatting for MISC column from conllu file.""" | |
| if misc_content is None: | |
| return "" | |
| else: | |
| return "|".join([k + "=" + v for k, v in misc_content.items()]) | |
| id = 0 | |
| logger.info("⏳ Generating examples from = %s", filepath) | |
| print("Cached PATHS -- copy into STEP 5:", filepath) | |
| with open(filepath, 'r', encoding="utf-8") as f: | |
| tokenlist = list(conllu.parse_incr(f)) | |
| for sent in tokenlist: | |
| if "sent_id" in sent.metadata: | |
| idx = sent.metadata["sent_id"] | |
| else: | |
| idx = id | |
| tokens = [token["form"] for token in sent] | |
| if "text" in sent.metadata: | |
| txt = sent.metadata["text"] | |
| else: | |
| txt = " ".join(tokens) | |
| yield id, { | |
| "sent_id": str(idx), | |
| "text": txt, | |
| "orig_file_sentence": sent.metadata["orig_file_sentence"], | |
| "id": [token["id"] for token in sent], | |
| "tokens": [token["form"] for token in sent], | |
| "lemmas": [token["lemma"] for token in sent], | |
| "upos": [token["upos"] for token in sent], | |
| "xpos": [token["xpos"] for token in sent], | |
| "feats": [str(token["feats"]) for token in sent], | |
| "head": [str(token["head"]) for token in sent], | |
| "deprel": [str(token["deprel"]) for token in sent], | |
| "deps": [str(token["deps"]) for token in sent], | |
| "misc": [generate_misc_column(token["misc"]) for token in sent], | |
| } | |
| id += 1 | |