Update fiqa_pt_bkp.py

fiqa_pt_bkp.py

@@ -1,16 +1,15 @@
-import csv
 import json
+import csv
 import os
 import datasets
 
+logger = datasets.logging.get_logger(__name__)
+
 _DESCRIPTION = "FIQA Dataset"
-_SPLITS = ["corpus", "topics", "qrel"]
+_SPLITS = ["corpus", "queries"]
 
-_URLs = {
-    "corpus": "corpus_pt.tsv",
-    "topics": "topics_pt.tsv",
-    "qrel": "qrels.tsv",
-}
+URL = ""
+_URLs = {subset: URL + f"{subset}.jsonl.gz" for subset in _SPLITS}
 
 class BEIR(datasets.GeneratorBasedBuilder):
     """BEIR BenchmarkDataset."""
@@ -21,27 +20,17 @@ class BEIR(datasets.GeneratorBasedBuilder):
             description=f"This is the {name} in the FiQA dataset.",
         ) for name in _SPLITS
     ]
-
+    
     def _info(self):
 
-        if self.config.name in ["corpus", "topics"]:
-            features = datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "text": datasets.Value("string")
-                }
-            )
-        else:
-            features = datasets.Features(
-                {
-                    "query_id": datasets.Value("string"),
-                    "doc_id": datasets.Value("string"),
-                    "rel": datasets.Value("string")
-                }
-            )
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
-            features=features
+             features=datasets.Features({
+                "_id": datasets.Value("string"), 
+                "title": datasets.Value("string"),
+                "text": datasets.Value("string"),
+             }),
+            supervised_keys=None,
         )
 
     def _split_generators(self, dl_manager):
@@ -58,20 +47,12 @@ class BEIR(datasets.GeneratorBasedBuilder):
             ),
         ]
 
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, filepath):
+        """Yields examples."""
         with open(filepath, encoding="utf-8") as f:
-            if self.config.name in ["corpus", "topics"]:
-                for line in f:
-                    fields = line.strip().split("\t")
-                    idx = fields[0]
-                    text = fields[1]
-                    yield idx, text
-            else:
-                for line in f:
-                    if "query-id" not in line:
-                        fields = line.strip().split("\t")
-                        query_id = fields[0]
-                        doc_id = fields[1]
-                        rel = int(fields[2])
-                        yield query_id, doc_id, rel
+            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