added beir corpus loading file

beir-corpus.py

@@ -0,0 +1,58 @@
+import json
+import csv
+import os
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_DESCRIPTION = "BEIR Benchmark"
+_DATASETS = ["fiqa", "trec-covid"]
+
+URL = ""
+_URLs = {
+    dataset: {
+        "corpus": URL + f"{dataset}/corpus.jsonl", 
+        } for dataset in _DATASETS}
+
+
+class BEIR(datasets.GeneratorBasedBuilder):
+    """BEIR BenchmarkDataset."""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name=dataset,
+            description=f"This is the {dataset} dataset in BEIR Benchmark.",
+        ) for dataset in _DATASETS
+    ]
+    
+    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="corpus",
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"corpus_path": data_dir["corpus"]}
+            ),
+        ]
+
+    def _generate_examples(self, corpus_path):
+        """Yields examples."""
+        with open(corpus_path, encoding="utf-8") as f:
+            texts = f.readlines()
+        for i, text in enumerate(texts):
+            yield i, json.loads(text)