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