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from typing import Optional, Callable, List, Dict, Any, Tuple, Generator |
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from dataclasses import dataclass |
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import itertools |
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import os |
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import datasets |
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from .utils import Sample, list_keyby, parse_tmx, parse_sgm, parse_tsv, cleanup, normalize, dict_map, dict_filter_keys, dict_flatten |
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logger = datasets.logging.get_logger( |
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name=__name__ |
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) |
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@dataclass(frozen=True) |
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class Candidate: |
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name: str |
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url: str |
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paths: Tuple[str, ...] |
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num_examples: int |
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parser: Callable[ |
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[Tuple[str, ...]], Generator[Sample, None, None] |
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] |
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def download_paths( |
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self, |
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base_path: str |
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): |
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return tuple( |
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os.path.join(base_path, path) |
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for path in self.paths |
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) |
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@dataclass(frozen=True) |
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class Constraint: |
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start: Optional[int] = None |
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stop: Optional[int] = None |
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step: Optional[int] = None |
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_CANDIDATES = [ |
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Candidate( |
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name='europarl_v10', |
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url='https://statmt.org/europarl/v10/training/europarl-v10.de-en.tsv.gz', |
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paths=('.',), |
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num_examples=1828521, |
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parser=lambda filepaths: parse_tsv( |
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filepaths=filepaths, |
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columns={ |
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'de': 0, 'en': 1 |
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} |
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) |
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), |
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Candidate( |
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name='newscommentary_v17', |
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url='https://www.statmt.org/news-commentary/v17/training/news-commentary-v17.de-en.tsv.gz', |
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paths=('.',), |
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num_examples=418621, |
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parser=lambda filepaths: parse_tsv( |
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filepaths=filepaths, |
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columns={ |
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'de': 0, 'en': 1 |
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} |
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) |
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), |
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Candidate( |
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name='wikititles_v3', |
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url='https://object.pouta.csc.fi/OPUS-WikiTitles/v3/tmx/de-en.tmx.gz', |
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paths=('.',), |
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num_examples=1386770, |
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parser=lambda filepaths: parse_tmx( |
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filepaths=filepaths, |
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attributes={ |
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'de': 'xml:lang="de"', 'en': 'xml:lang="en"', |
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} |
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) |
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), |
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Candidate( |
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name='ecb_2017', |
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url='https://s3-eu-west-1.amazonaws.com/tilde-model/ecb2017.de-en.tmx.zip', |
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paths=('ecb2017.UNIQUE.de-en.tmx',), |
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num_examples=4147, |
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parser=lambda filepaths: parse_tmx( |
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filepaths=filepaths, |
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attributes={ |
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'de': 'xml:lang="de"', 'en': 'xml:lang="en"', |
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} |
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) |
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), |
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Candidate( |
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name='rapid_2019', |
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url='https://s3-eu-west-1.amazonaws.com/tilde-model/rapid2019.de-en.tmx.zip', |
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paths=('RAPID_2019.UNIQUE.de-en.tmx',), |
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num_examples=939808, |
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parser=lambda filepaths: parse_tmx( |
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filepaths=filepaths, |
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attributes={ |
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'de': 'xml:lang="de"', 'en': 'xml:lang="en"', |
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} |
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) |
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), |
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Candidate( |
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name='eesc_2017', |
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url='https://s3-eu-west-1.amazonaws.com/tilde-model/EESC2017.de-en.tmx.zip', |
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paths=('EESC.de-en.tmx',), |
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num_examples=2857850, |
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parser=lambda filepaths: parse_tmx( |
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filepaths=filepaths, |
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attributes={ |
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'de': 'xml:lang="de"', 'en': 'xml:lang="en"', |
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} |
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) |
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), |
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Candidate( |
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name='ema_2016', |
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url='https://s3-eu-west-1.amazonaws.com/tilde-model/EMA2016.de-en.tmx.zip', |
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paths=('EMEA2016.de-en.tmx',), |
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num_examples=347631, |
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parser=lambda filepaths: parse_tmx( |
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filepaths=filepaths, |
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attributes={ |
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'de': 'xml:lang="de"', 'en': 'xml:lang="en"', |
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} |
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) |
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), |
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Candidate( |
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name='europat_v3', |
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url='https://web-language-models.s3.amazonaws.com/europat/release3/de-en.txt.gz', |
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paths=('.',), |
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num_examples=19734742, |
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parser=lambda filepaths: parse_tsv( |
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filepaths=filepaths, |
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columns={ |
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'de': 0, 'en': 1 |
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} |
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) |
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), |
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Candidate( |
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name='books_v1', |
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url='https://object.pouta.csc.fi/OPUS-Books/v1/tmx/de-en.tmx.gz', |
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paths=('.',), |
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num_examples=51106, |
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parser=lambda filepaths: parse_tmx( |
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filepaths=filepaths, |
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attributes={ |
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'de': 'xml:lang="de"', 'en': 'xml:lang="en"', |
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} |
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) |
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), |
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Candidate( |
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name='ted2020_v1', |
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url='https://object.pouta.csc.fi/OPUS-TED2020/v1/tmx/de-en.tmx.gz', |
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paths=('.',), |
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num_examples=289374, |
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parser=lambda filepaths: parse_tmx( |
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filepaths=filepaths, |
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attributes={ |
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'de': 'xml:lang="de"', 'en': 'xml:lang="en"', |
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} |
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) |
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), |
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Candidate( |
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name='qed_v2', |
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url='https://object.pouta.csc.fi/OPUS-QED/v2.0a/tmx/de-en.tmx.gz', |
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paths=('.',), |
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num_examples=492811, |
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parser=lambda filepaths: parse_tmx( |
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filepaths=filepaths, |
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attributes={ |
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'de': 'xml:lang="de"', 'en': 'xml:lang="en"', |
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} |
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) |
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), |
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Candidate( |
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name='eubookshop_v2', |
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url='https://object.pouta.csc.fi/OPUS-EUbookshop/v2/tmx/de-en.tmx.gz', |
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paths=('.',), |
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num_examples=8312724, |
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parser=lambda filepaths: parse_tmx( |
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filepaths=filepaths, |
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attributes={ |
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'de': 'xml:lang="de"', 'en': 'xml:lang="en"', |
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} |
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) |
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), |
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Candidate( |
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name='newstest2018', |
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url='https://data.statmt.org/wmt22/translation-task/dev.tgz', |
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paths=('dev/sgm/newstest2018-deen-src.de.sgm', |
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'dev/sgm/newstest2018-deen-ref.en.sgm'), |
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num_examples=2998, |
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parser=lambda filepaths: parse_sgm( |
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filepaths=filepaths, |
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files={ |
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'de': 0, 'en': 1 |
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} |
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) |
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), |
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Candidate( |
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name='newstest2019', |
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url='https://data.statmt.org/wmt22/translation-task/dev.tgz', |
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paths=('dev/sgm/newstest2019-deen-src.de.sgm', |
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'dev/sgm/newstest2019-deen-ref.en.sgm'), |
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num_examples=2000, |
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parser=lambda filepaths: parse_sgm( |
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filepaths=filepaths, |
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files={ |
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'de': 0, 'en': 1 |
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} |
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) |
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) |
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] |
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_CANDIDATES_BY_NAME = list_keyby( |
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input=_CANDIDATES, |
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key_fn=lambda candidate: candidate.name |
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) |
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class NordmannConfig( |
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datasets.BuilderConfig |
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): |
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def __init__( |
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self, |
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splits: Dict[datasets.NamedSplit, List[str]], |
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constraints: Dict[str, Constraint], |
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normalizer: Callable[[Sample], Sample], |
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filter: Callable[[Sample], bool], |
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**kwargs: Any |
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): |
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assert splits |
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datasets.BuilderConfig.__init__( |
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self, **kwargs |
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) |
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self.splits = dict_map( |
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input=splits, map_fn=lambda key, value: ( |
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key, dict_filter_keys( |
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input=_CANDIDATES_BY_NAME, keys=value |
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) |
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) |
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) |
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self.constraints = constraints |
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self.normalizer = normalizer |
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self.filter = filter |
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class Nordmann( |
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datasets.GeneratorBasedBuilder |
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): |
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BUILDER_CONFIG_CLASS = NordmannConfig |
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BUILDER_CONFIGS = [ |
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NordmannConfig( |
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name='balanced', |
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description='NORDMANN 2023 (balanced) translation task dataset.', |
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version=datasets.Version( |
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version_str='0.0.1' |
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), |
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splits={ |
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datasets.Split.TRAIN: [ |
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'europarl_v10', |
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'newscommentary_v17', |
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'wikititles_v3', |
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'europat_v3', |
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'books_v1', |
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'ted2020_v1', |
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'qed_v2', |
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'eubookshop_v2' |
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], |
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datasets.Split.VALIDATION: [ |
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'newstest2018' |
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], |
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datasets.Split.TEST: [ |
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'newstest2019' |
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] |
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}, |
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constraints={ |
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'europat_v3': Constraint(stop=1000000), |
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'eubookshop_v2': Constraint(stop=2000000) |
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}, |
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normalizer=normalize( |
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strip_whitespaces=True, |
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clean_control_characters=True, |
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enforce_unicode_form='NFC' |
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), |
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filter=cleanup( |
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length_min=4, |
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length_max=4096, |
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length_ratio_max=1.33, |
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alpha_ratio_min=.5 |
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) |
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) |
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] |
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def _info( |
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self |
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): |
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features = { |
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'translation': datasets.features.Translation( |
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languages=['de', 'en'] |
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) |
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} |
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return datasets.DatasetInfo( |
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description='Translation dataset based on statmt.org', |
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features=datasets.Features(features) |
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) |
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def _split_generators( |
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self, |
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dl_manager: datasets.DownloadManager |
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): |
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self.config: NordmannConfig |
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urls = dict_map( |
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input=dict_flatten( |
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input=self.config.splits |
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), |
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map_fn=lambda key, value: ( |
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key, value.url |
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) |
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) |
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base_paths: Dict[str, str] |
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base_paths = dl_manager.download_and_extract( |
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url_or_urls=urls |
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) |
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generators: List[datasets.SplitGenerator] |
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generators = list() |
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for split, split_candidates in self.config.splits.items(): |
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generators.append( |
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datasets.SplitGenerator( |
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name=str(split), |
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gen_kwargs={ |
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'candidates': split_candidates, |
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'base_paths': base_paths |
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} |
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) |
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) |
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return generators |
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def _generate_examples( |
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self, |
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candidates: Dict[str, Candidate], |
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base_paths: Dict[str, str] |
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): |
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self.config: NordmannConfig |
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for name, candidate in candidates.items(): |
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constraint = ( |
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self.config.constraints[name] |
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if name in self.config.constraints else Constraint() |
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) |
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samples = candidate.parser( |
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candidate.download_paths( |
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base_path=base_paths[name] |
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) |
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) |
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for sample_num, sample in enumerate( |
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itertools.islice( |
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samples, |
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constraint.start, |
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constraint.stop, |
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constraint.step |
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) |
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): |
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normalized_sample = self.config.normalizer(sample) |
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if not self.config.filter(normalized_sample): |
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continue |
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yield candidate.name + '_' + str(sample_num), normalized_sample |
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samples.close() |
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