| 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 |
|
|
