Delete ntrex.py

ntrex.py

@@ -1,68 +0,0 @@
-import json                                                                                                                                                                                                                                                                                 
-from itertools import chain
-import datasets
- 
-logger = datasets.logging.get_logger(__name__)
-_DESCRIPTION = """None"""
-_NAME = "NTREX"
-_VERSION = "1.0.0"
-_CITATION = """ 
-None
-"""
- 
-_HOME_PAGE = "https://huggingface.co/datasets/xianf/NTREX"
-_URL = f'https://huggingface.co/datasets/xianf/NTREX/blob/main'
-_LANGUAGE = ['de', 'en', 'es', 'fr', 'it', 'id', 'hi', 'ar', 'ja', 'ko', 'pt', 'ru', 'th', 'tr', 'vi', 'zh', 'all']
-_URLS = { 
-    l: {
-      str(datasets.Split.TEST): [f'{_URL}/newstest2019.{l}.txt.jsonl'],
-     } for l in _LANGUAGE
-}
- 
- 
-class NTREXConfig(datasets.BuilderConfig):
-    """BuilderConfig"""
- 
-    def __init__(self, **kwargs):
-        """BuilderConfig.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(NTREXConfig, self).__init__(**kwargs)
- 
- 
-class NTREX(datasets.GeneratorBasedBuilder):
-    """Dataset."""
- 
-    BUILDER_CONFIGS = [ 
-        NTREXConfig(name=l, version=datasets.Version(_VERSION), description=f"{_DESCRIPTION} (language: {l})") for l in _LANGUAGE
-    ]   
- 
-    def _split_generators(self, dl_manager):
-        downloaded_file = dl_manager.download_and_extract(_URLS[self.config.name])
-        return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]})
-                for i in [datasets.Split.TEST]]
- 
-    def _generate_examples(self, filepaths):
-        _key = 0 
-        for filepath in filepaths:
-            logger.info(f"generating examples from = {filepath}")
-            with open(filepath, encoding="utf-8") as f:
-                _list = [i for i in f.read().split('\n') if len(i) > 0]
-                for i in _list:
-                    data = json.loads(i)
-                    yield _key, data
-                    _key += 1
- 
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "text": datasets.Sequence(datasets.Value("string")),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOME_PAGE,
-            citation=_CITATION,
-        )