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"""ANTILLES Corpus""" |
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import os |
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import datasets |
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from tqdm import tqdm |
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logger = datasets.logging.get_logger(__name__) |
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_CITATION = """ |
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@misc{ |
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universaldependencies, |
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title={UniversalDependencies/UD_French-GSD}, |
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url={https://github.com/UniversalDependencies/UD_French-GSD}, journal={GitHub}, |
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author={UniversalDependencies} |
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} |
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@inproceedings{mcdonald-etal-2013-universal, |
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title = {{U}niversal {D}ependency Annotation for Multilingual Parsing}, |
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author = { |
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McDonald, Ryan and |
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Nivre, Joakim and |
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Quirmbach-Brundage, Yvonne and |
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Goldberg, Yoav and |
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Das, Dipanjan and |
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Ganchev, Kuzman and |
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Hall, Keith and |
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Petrov, Slav and |
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Zhang, Hao and |
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Tackstrom, Oscar and |
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Bedini, Claudia and |
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Bertomeu Castello, Nuria and |
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Lee, Jungmee |
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}, |
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booktitle = {Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)}, |
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month = aug, |
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year = {2013}, |
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address = {Sofia, Bulgaria}, |
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publisher = {Association for Computational Linguistics}, |
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url = {https://aclanthology.org/P13-2017}, |
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pages = {92--97", |
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} |
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@techreport{ |
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LIA_TAGG, |
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author = {Frédéric Béchet}, |
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title = {LIA_TAGG: a statistical POS tagger + syntactic bracketer}, |
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institution = {Aix-Marseille University & CNRS}, |
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year = {2001} |
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} |
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""" |
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_LICENSE = """ |
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For the following languages |
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German, Spanish, French, Indonesian, Italian, Japanese, Korean and Brazilian |
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Portuguese |
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we will distinguish between two portions of the data. |
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1. The underlying text for sentences that were annotated. This data Google |
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asserts no ownership over and no copyright over. Some or all of these |
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sentences may be copyrighted in some jurisdictions. Where copyrighted, |
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Google collected these sentences under exceptions to copyright or implied |
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license rights. GOOGLE MAKES THEM AVAILABLE TO YOU 'AS IS', WITHOUT ANY |
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WARRANTY OF ANY KIND, WHETHER EXPRESS OR IMPLIED. |
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2. The annotations -- part-of-speech tags and dependency annotations. These are |
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made available under a CC BY-SA 4.0. GOOGLE MAKES |
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THEM AVAILABLE TO YOU 'AS IS', WITHOUT ANY WARRANTY OF ANY KIND, WHETHER |
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EXPRESS OR IMPLIED. See attached LICENSE file for the text of CC BY-NC-SA. |
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Portions of the German data were sampled from the CoNLL 2006 Tiger Treebank |
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data. Hans Uszkoreit graciously gave permission to use the underlying |
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sentences in this data as part of this release. |
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Any use of the data should reference the above plus: |
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Universal Dependency Annotation for Multilingual Parsing |
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Ryan McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, Yoav Goldberg, |
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Dipanjan Das, Kuzman Ganchev, Keith Hall, Slav Petrov, Hao Zhang, |
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Oscar Tackstrom, Claudia Bedini, Nuria Bertomeu Castello and Jungmee Lee |
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Proceedings of ACL 2013 |
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""" |
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_DESCRIPTION = "No description" |
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_URLS = { |
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"ANTILLES": "https://huggingface.co/datasets/qanastek/ANTILLES/resolve/main/ANTILLES.zip" |
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} |
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class ANTILLES(datasets.GeneratorBasedBuilder): |
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"""ANTILLES dataset.""" |
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VERSION = datasets.Version("1.1.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="ANTILLES", version=VERSION, description="The ANTILLES corpora"), |
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] |
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DEFAULT_CONFIG_NAME = "ANTILLES" |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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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 = ['PART', 'PDEMMP', 'PREFS', 'PINDMP', 'DINTMS', 'NUM', 'PINTFS', 'NFP', 'PUNCT', 'PRELMS', 'NOUN', 'PPER3MS', 'AUX', 'COSUB', 'ADJ', 'VPPRE', 'COCO', 'ADJMP', 'X', 'NMS', 'PINDMS', 'DETFS', 'PPER2S', 'PREFP', 'PPER3MP', 'PRELMP', 'PINDFS', 'PRON', 'PREP', 'PPOBJMP', 'ADJFS', 'DET', 'ADJFP', 'PDEMFP', 'PREL', 'PPER3FS', 'VPPFS', 'PPER3FP', 'CHIF', 'NMP', 'SYM', 'NFS', 'VERB', 'PREF', 'VPPFP', 'PDEMMS', 'XFAMIL', 'PINDFP', 'VPPMP', 'YPFOR', 'ADV', 'PRELFS', 'DINTFS', 'DETMS', 'PPOBJFP', 'PPOBJMS', 'VPPMS', 'INTJ', 'PROPN', 'PDEMFS', 'PPER1S', 'PRELFP', 'MOTINC', 'ADJMS', 'PPOBJFS'] |
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) |
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), |
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} |
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), |
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supervised_keys=None, |
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homepage="https://github.com/qanastek/ANTILLES", |
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citation=_CITATION, |
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license=_LICENSE, |
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) |
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def _split_generators(self, dl_manager): |
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urls = _URLS[self.config.name] |
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data_dir = dl_manager.download_and_extract(urls) |
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TRAIN_PATH = 'train.conllu' |
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DEV_PATH = 'dev.conllu' |
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TEST_PATH = 'test.conllu' |
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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={ |
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"filepath": os.path.join(data_dir, TRAIN_PATH), |
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"split": "train", |
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} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={ |
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"filepath": os.path.join(data_dir, DEV_PATH), |
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"split": "dev", |
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} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={ |
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"filepath": os.path.join(data_dir, TEST_PATH), |
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"split": "test", |
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} |
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), |
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] |
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def _generate_examples(self, filepath, split): |
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logger.info("⏳ Generating examples from = %s", filepath) |
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with open(filepath, encoding="utf-8") as f: |
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guid = 0 |
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tokens = [] |
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pos_tags = [] |
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for line in tqdm(f): |
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if "#" in line or line == "" or line == "\n": |
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if tokens: |
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yield guid, { |
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"id": str(guid), |
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"tokens": tokens, |
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"pos_tags": pos_tags, |
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} |
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guid += 1 |
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tokens = [] |
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pos_tags = [] |
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else: |
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splits = line.split('\t') |
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tokens.append(splits[1]) |
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pos_tags.append(splits[3].rstrip() if "_" not in splits[3] else "X") |
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yield guid, { |
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"id": str(guid), |
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"tokens": tokens, |
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"pos_tags": pos_tags, |
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} |
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