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import os |
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from pathlib import Path |
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from typing import Dict, List, Tuple |
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import datasets |
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from nusacrowd.utils.configs import NusantaraConfig |
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from nusacrowd.utils.constants import Tasks |
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from nusacrowd.utils import schemas |
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import jsonlines |
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from nltk.tokenize.treebank import TreebankWordDetokenizer |
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_CITATION = """\ |
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@article{aji2022paracotta, |
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title={ParaCotta: Synthetic Multilingual Paraphrase Corpora from the Most Diverse Translation Sample Pair}, |
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author={Aji, Alham Fikri and Fatyanosa, Tirana Noor and Prasojo, Radityo Eko and Arthur, Philip and Fitriany, Suci and Qonitah, Salma and Zulfa, Nadhifa and Santoso, Tomi and Data, Mahendra}, |
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journal={arXiv preprint arXiv:2205.04651}, |
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year={2022} |
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} |
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""" |
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_LANGUAGES = ["ind"] |
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_LOCAL = False |
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_DATASETNAME = "paracotta_id" |
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_DESCRIPTION = """\ |
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ParaCotta is a synthetic parallel paraphrase corpus across 17 languages: Arabic, Catalan, Czech, German, English, Spanish, Estonian, French, Hindi, Indonesian, Italian, Dutch, Ro- manian, Russian, Swedish, Vietnamese, and Chinese. |
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""" |
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_HOMEPAGE = "https://github.com/afaji/paracotta-paraphrase" |
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_LICENSE = "Unknown" |
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_URLS = { |
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_DATASETNAME: "https://drive.google.com/uc?id=1QPyD4lOKxbXGUypA5ke6Y9_i9utq-QSQ", |
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} |
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_SUPPORTED_TASKS = [Tasks.PARAPHRASING] |
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_SOURCE_VERSION = "1.0.0" |
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_NUSANTARA_VERSION = "1.0.0" |
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class ParaCotta(datasets.GeneratorBasedBuilder): |
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"""ParaCotta is a synthetic parallel paraphrase corpus across 17 languages: Arabic, Catalan, Czech, German, English, Spanish, Estonian, French, Hindi, Indonesian, Italian, Dutch, Ro- manian, Russian, Swedish, Vietnamese, and Chinese. |
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""" |
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION) |
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NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION) |
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BUILDER_CONFIGS = [ |
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NusantaraConfig( |
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name="paracotta_id_source", |
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version=SOURCE_VERSION, |
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description="paracotta_id source schema", |
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schema="source", |
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subset_id="paracotta_id", |
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), |
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NusantaraConfig( |
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name="paracotta_id_nusantara_t2t", |
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version=NUSANTARA_VERSION, |
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description="paracotta_id Nusantara schema", |
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schema="nusantara_t2t", |
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subset_id="paracotta_id", |
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), |
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] |
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DEFAULT_CONFIG_NAME = "paracotta_id_source" |
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def _info(self) -> datasets.DatasetInfo: |
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if self.config.schema == "source": |
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features = datasets.Features( |
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{ |
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"id": datasets.Value("string"), |
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"src": datasets.Value("string"), |
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"tgt": datasets.Value("string"), |
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} |
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) |
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elif self.config.schema == "nusantara_t2t": |
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features = schemas.text2text_features |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: |
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"""Returns SplitGenerators.""" |
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urls = _URLS[_DATASETNAME] |
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data_dir = Path(dl_manager.download(urls)) |
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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": data_dir, |
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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: Path, split: str) -> Tuple[int, Dict]: |
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if self.config.schema == "source": |
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with open(filepath, 'r') as f: |
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data = f.readlines() |
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id = 0 |
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for each_data in data: |
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each_data = each_data.strip('\n') |
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ex = { |
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"id": id, |
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"src": each_data.split('\t')[1], |
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"tgt": each_data.split('\t')[2], |
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} |
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id += 1 |
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yield id, ex |
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elif self.config.schema == "nusantara_t2t": |
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with open(filepath, 'r') as f: |
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data = f.readlines() |
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id = 0 |
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for each_data in data: |
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each_data = each_data.strip('\n') |
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ex = { |
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"id": id, |
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"text_1": each_data.split('\t')[1], |
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"text_2": each_data.split('\t')[2], |
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"text_1_name": "src", |
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"text_2_name": "tgt" |
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} |
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id += 1 |
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yield id, ex |
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else: |
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raise ValueError(f"Invalid config: {self.config.name}") |
