Update xor-tydi.py

xor-tydi.py

@@ -122,34 +122,37 @@ class XORTyDi(datasets.GeneratorBasedBuilder):
 
         
         # prepare doc
-        doc2docid = {}
-        with open(filepath, encoding="utf-8") as f:
-            all_data = json.load(f)
+        def get_doc2docid(all_data):
+            doc2docid = {}
+            # with open(filepath, encoding="utf-8") as f:
+                # all_data = json.load(f)
             for i, data in enumerate(all_data):
                 positive_ctxs = data["positive_ctxs"]
                 hard_negative_ctxs = data["hard_negative_ctxs"]
                 ctxs = positive_ctxs + hard_negative_ctxs
 
-                for doc for ctxs:
-                    text = process_doc_text[doc]
+                for doc in ctxs:
+                    text = process_doc_text(doc)
                     if text not in doc2docid:
                         doc2docid[text] = len(doc2docid)
+            return doc2docid
                 
-        def process_train_entry(data, _id):
+        def process_train_entry(data, _id, doc2docid):
             positive_ctxs = data["positive_ctxs"]
             hard_negative_ctxs = data["hard_negative_ctxs"]
             # each ctx: {'title':... , 'text': ....}
 
             def process_ctx(ctxs, tag):
-                text = process_doc_text(doc)
-                return [
-                    {
+                processed = []
+                for i, doc in enumerate(ctxs):
+                    text = process_doc_text(doc)
+                    processed.append({
                         "title": doc["title"],
-                        "text": 
+                        "text": text,
                         # 'docid': f'{tag}-{i}-{random.randint(*RANGE)}'
-                        'docid': doc2docid[docid]
-                    } for i, doc in enumerate(ctxs)
-                ]
+                        'docid': doc2docid[text]
+                    }) 
+                return processed
 
             return _id, {
                 "query_id": _id,
@@ -174,8 +177,9 @@ class XORTyDi(datasets.GeneratorBasedBuilder):
         try:
             with open(filepath, encoding="utf-8") as f:
                 all_data = json.load(f)
+                doc2docid = get_doc2docid(all_data)
                 for i, data in enumerate(all_data):
-                    yield process_train_entry(data, i)
+                    yield process_train_entry(data, i, doc2docid)
 
         # if filepath.endswith(".jsonl"): <-- doesn't work
         except Exception as e: