Delete loading script

nfcorpus.py

@@ -1,58 +0,0 @@
-import json
-import csv
-import os
-import datasets
-
-logger = datasets.logging.get_logger(__name__)
-
-_DESCRIPTION = "FIQA Dataset"
-_SPLITS = ["corpus", "queries"]
-
-URL = ""
-_URLs = {subset: URL + f"{subset}.jsonl.gz" for subset in _SPLITS}
-
-class BEIR(datasets.GeneratorBasedBuilder):
-    """BEIR BenchmarkDataset."""
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name=name,
-            description=f"This is the {name} in the FiQA dataset.",
-        ) for name in _SPLITS
-    ]
-    
-    def _info(self):
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-             features=datasets.Features({
-                "_id": datasets.Value("string"), 
-                "title": datasets.Value("string"),
-                "text": datasets.Value("string"),
-             }),
-            supervised_keys=None,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        my_urls = _URLs[self.config.name]
-        data_dir = dl_manager.download_and_extract(my_urls)
-
-        return [
-            datasets.SplitGenerator(
-                name=self.config.name,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": data_dir},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        with open(filepath, encoding="utf-8") as f:
-            texts = f.readlines()
-        for i, text in enumerate(texts):
-            text = json.loads(text)
-            if 'metadata' in text: del text['metadata']
-            if "title" not in text: text["title"] = ""
-            yield i, text