Update multi_document_summarization.py

multi_document_summarization.py

@@ -35,9 +35,9 @@ _DESCRIPTION = """
 Multi-Document, a large-scale multi-document summarization dataset created from scientific articles. Multi-Document introduces a challenging multi-document summarization task: writing the related-work section of a paper based on its abstract and the articles it references.
 """
 
-_URL_TRAIN = "https://github.com/arka0821/multi_document_summarization/blob/master/data/train.txt"
-_URL_TEST = "https://github.com/arka0821/multi_document_summarization/blob/master/data/test.txt"
-_URL_VAL = "https://github.com/arka0821/multi_document_summarization/blob/master/data/val.txt"
+_URL_TRAIN = "https://github.com/arka0821/multi_document_summarization/blob/master/data/train.json"
+_URL_TEST = "https://github.com/arka0821/multi_document_summarization/blob/master/data/test.json"
+_URL_VAL = "https://github.com/arka0821/multi_document_summarization/blob/master/data/val.json"
 
 
 class MultiDocumentSum(datasets.GeneratorBasedBuilder):
@@ -88,15 +88,13 @@ class MultiDocumentSum(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, path=None):
         """Yields examples."""
         with open(path, encoding="utf-8") as f:
-            data = f.readlines()#json.load(f)
+            data = json.load(f)
             f.close()
-        print("************")
-        print(data)
         for idx, el in enumerate(data):            
-            #ids = [id["id"] for id in json.loads(el["docs"])]
-            #texts = [text["text"] for text in el["docs"]]
-            #tmp = {"id": ids, "text": texts}
-            d = el#.copy()
-            #d["docs"] = tmp
+            ids = [id["id"] for id in json.loads(el["docs"])]
+            texts = [text["text"] for text in el["docs"]]
+            tmp = {"id": ids, "text": texts}
+            d = el.copy()
+            d["docs"] = tmp
             yield idx, d