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----
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----
\ No newline at end of file
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-# coding=utf-8
-
-"""MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages"""
-
-import json
-import datasets
-import os
-import gzip
-
-logger = datasets.logging.get_logger(__name__)
-
-_DESCRIPTION = """\
-        Tatoeba multilingual test set
-"""
-
-_LANGUAGES = ['sqi-eng', 'fry-eng', 'kur-eng', 'tur-eng', 'deu-eng', 'nld-eng', 'ron-eng', 'ang-eng', 'ido-eng', 'jav-eng', 'isl-eng', 'slv-eng', 'cym-eng', 'kaz-eng', 'est-eng', 'heb-eng', 'gla-eng', 'mar-eng', 'lat-eng', 'bel-eng', 'pms-eng', 'gle-eng', 'pes-eng', 'nob-eng', 'bul-eng', 'cbk-eng', 'hun-eng', 'uig-eng', 'rus-eng', 'spa-eng', 'hye-eng', 'tel-eng', 'afr-eng', 'mon-eng', 'arz-eng', 'hrv-eng', 'nov-eng', 'gsw-eng', 'nds-eng', 'ukr-eng', 'uzb-eng', 'lit-eng', 'ina-eng', 'lfn-eng', 'zsm-eng', 'ita-eng', 'cmn-eng', 'lvs-eng', 'glg-eng', 'ceb-eng', 'bre-eng', 'ben-eng', 'swg-eng', 'arq-eng', 'kab-eng', 'fra-eng', 'por-eng', 'tat-eng', 'oci-eng', 'pol-eng', 'war-eng', 'aze-eng', 'vie-eng', 'nno-eng', 'cha-eng', 'mhr-eng', 'dan-eng', 'ell-eng', 'amh-eng', 'pam-eng', 'hsb-eng', 'srp-eng', 'epo-eng', 'kzj-eng', 'awa-eng', 'fao-eng', 'mal-eng', 'ile-eng', 'bos-eng', 'cor-eng', 'cat-eng', 'eus-eng', 'yue-eng', 'swe-eng', 'dtp-eng', 'kat-eng', 'jpn-eng', 'csb-eng', 'xho-eng', 'orv-eng', 'ind-eng', 'tuk-eng', 'max-eng', 'swh-eng', 'hin-eng', 'dsb-eng', 'ber-eng', 'tam-eng', 'slk-eng', 'tgl-eng', 'ast-eng', 'mkd-eng', 'khm-eng', 'ces-eng', 'tzl-eng', 'urd-eng', 'ara-eng', 'kor-eng', 'yid-eng', 'fin-eng', 'tha-eng', 'wuu-eng']
-
-class TATOEBA(datasets.GeneratorBasedBuilder):
-    """TATOEBA Cross-lingual"""
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name=name,
-            version=datasets.Version("1.0.0"),
-            description=f"Tatoeba cross-lingual dataset for {name} language pair.",
-        )
-        for name in _LANGUAGES
-    ]
-
-    DEFAULT_CONFIG_NAME = 'fra-eng'
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "sentence1": datasets.Value("string"),
-                    "sentence2": datasets.Value("string"),
-                },
-            ),
-            supervised_keys=None,
-            homepage="https://github.com/facebookresearch/LASER/tree/main/data/tatoeba/v1",
-        )
-
-    def _split_generators(self, dl_manager):
-        url = f'{self.config.name}/test.jsonl.gz'
-        archive_path = dl_manager.download(url)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "text_path": archive_path,
-                },
-            ),
-        ]
-
-    def _generate_examples(self, text_path):
-        """Yields examples."""
-        with gzip.open(text_path,'rt') as f:
-            for i, line in enumerate(f):
-                yield i, json.loads(line)
\ No newline at end of file
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