|
|
|
|
|
|
|
"""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/tree/main/data.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, |
|
} |
|
|
