Update fiqa_pt.py

fiqa_pt.py

@@ -10,7 +10,6 @@ _SPLITS = ["corpus", "queries"]
 
 URL = ""
 _URLs = {subset: URL + f"{subset}.jsonl.gz" for subset in _SPLITS}
-_URLs.update({"qrel": URL + "qrels.tsv"})
 
 class BEIR(datasets.GeneratorBasedBuilder):
     """BEIR BenchmarkDataset."""
@@ -19,26 +18,18 @@ class BEIR(datasets.GeneratorBasedBuilder):
         datasets.BuilderConfig(
             name=name,
             description=f"This is the {name} in the FiQA dataset.",
-        ) for name in _SPLITS + ["qrel"]
+        ) for name in _SPLITS
     ]
     
     def _info(self):
 
-        if self.config.name in ["corpus", "topics"]:
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
              features=datasets.Features({
                 "_id": datasets.Value("string"), 
                 "title": 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,
+                "text": datasets.Value("string"),
+             }),
             supervised_keys=None,
         )
 
@@ -58,20 +49,10 @@ class BEIR(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, filepath):
         """Yields examples."""
-        if self.config.name in ["corpus", "topics"]:
-            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
-        else:
-            with open(filepath, encoding="utf-8") as f:
-                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
+        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