|
|
|
'''DiscEvalMT: DiscEvalMT: Contrastive test sets for the evaluation of discourse in machine translation (v2)''' |
|
|
|
import json |
|
import datasets |
|
|
|
logger = datasets.logging.get_logger(__name__) |
|
|
|
_CITATION = '''\ |
|
@inproceedings{bawden-etal-2018-evaluating, |
|
title = "Evaluating Discourse Phenomena in Neural Machine Translation", |
|
author = "Bawden, Rachel and Sennrich, Rico and Birch, Alexandra and Haddow, Barry", |
|
booktitle = {{Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)}}, |
|
month = jun, |
|
year = "2018", |
|
address = "New Orleans, Louisiana", |
|
publisher = "Association for Computational Linguistics", |
|
url = "https://www.aclweb.org/anthology/N18-1118", |
|
doi = "10.18653/v1/N18-1118", |
|
pages = "1304--1313" |
|
} |
|
''' |
|
|
|
_DESCRIPTION = '''\ |
|
English-French hand-crafted contrastive test set to test anaphora and lexical choice |
|
''' |
|
|
|
_URLS = { |
|
'test-lexical_choice': 'lexical_choice.json', |
|
'test-anaphora': 'anaphora.json' |
|
} |
|
|
|
|
|
class DiscEvalMTConfig(datasets.BuilderConfig): |
|
'''BuilderConfig for DiscEvalMT.''' |
|
|
|
|
|
def __init__(self, evaltype: str, **kwargs): |
|
"""BuilderConfig for DiscEvalMT. |
|
|
|
Args: |
|
**kwargs: keyword arguments forwarded to super. |
|
""" |
|
self.evaltype = evaltype |
|
super().__init__(**kwargs) |
|
|
|
|
|
|
|
|
|
class DiscEvalMT(datasets.GeneratorBasedBuilder): |
|
'''DiscEvalMT: English-French contrastive test set for 2 discourse phenomena (anaphora and lexical cohesion)''' |
|
|
|
BUILDER_CONFIG_CLASS = DiscEvalMTConfig |
|
BUILDER_CONFIGS = [ |
|
DiscEvalMTConfig( |
|
name='anaphora', |
|
filename='test-anaphora', |
|
version=datasets.Version('2.0.0', ''), |
|
), |
|
DiscEvalMTConfig( |
|
name='lexical choice', |
|
filename='test-lexical_choice', |
|
version=datasets.Version('2.0.0', ''), |
|
), |
|
] |
|
|
|
def _split_generators(self, dl_manager): |
|
downloaded_files = dl_manager.download_and_extract(_URLS) |
|
|
|
print(self.config.filename) |
|
return datasets.SplitGenerator(name=split, gen_kwargs={'filepath': downloaded_files[self.config.filename]}), |
|
|
|
|
|
|