add query and corpus together

nq.py

@@ -0,0 +1,58 @@
+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