Update germandpr-beir.py

germandpr-beir.py

@@ -1,3 +1,5 @@
+import json
+
 import datasets
 
 
@@ -80,25 +82,48 @@ class GermanDPRBeir(datasets.GeneratorBasedBuilder):
         name = self.config.name
         if name == "qrels":
             dl_path = dl_manager.download([
-                "https://huggingface.co/datasets/PM-AI/germandpr-beir/resolve/main/data/qrels/test.tsv",
-                "https://huggingface.co/datasets/PM-AI/germandpr-beir/resolve/main/data/qrels/train.tsv"
+                "https://huggingface.co/datasets/PM-AI/germandpr-beir/resolve/main/data/qrels/train.tsv",
+                "https://huggingface.co/datasets/PM-AI/germandpr-beir/resolve/main/data/qrels/test.tsv"
             ])
+            return [
+                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": dl_path[0]}),
+                datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": dl_path[1]})
+            ]
         else:
             dl_path = dl_manager.download(f"https://huggingface.co/datasets/PM-AI/germandpr-beir/resolve/main/data/{name}.jsonl")
+            return [
+                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": dl_path}),
+                datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": dl_path})
+            ]
 
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": dl_path, "split": "train"}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": dl_path, "split": "test"})
-        ]
+    def _generate_queries_data(self, filepath):
+        with open(filepath, "r", encoding="utf-8") as in_file:
+            for idx, line in enumerate(in_file):
+                data = json.loads(line)
+                yield idx, data
+
+    def _generate_corpus_data(self, filepath):
+        with open(filepath, "r", encoding="utf-8") as in_file:
+            for idx, line in enumerate(in_file):
+                data = json.loads(line)
+                if "metadata" in data:
+                    del data["metadata"]
+                yield idx, data
+
+    def _generate_qrel_data(self, filepath):
+        with open(filepath, "r", encoding="utf-8") as in_file:
+            in_file.readline() # first line is header
+            for idx, line in enumerate(in_file):
+                qid, cid, score = line.rstrip().split("\t")
+                yield idx, {"query-id": qid, "corpus-id": cid, "score": score}
 
-    def _generate_examples(self, filepath, split):
+    def _generate_examples(self, filepath):
         """Yields examples."""
         name = self.config.name
         if name.startswith("queries"):
-            yield 0, {"_id": "1", "text": "text"}
+            return self._generate_queries_data(filepath)
         elif name.startswith("corpus"):
-            yield 0, {"_id": "1", "title": "title", "text": "text"}
+            return self._generate_corpus_data(filepath)
         else:
             # name == qrels
-            filepath = [x for x in filepath if x.endswith(f"{split}.tsv")]
-            yield 0, {"query-id": "", "corpus-id": "", "score": 1}
+            return self._generate_qrel_data(filepath)