add challenge set CM+T

CrossWOZ.py

@@ -176,46 +176,38 @@ class CrossWOZ(datasets.GeneratorBasedBuilder):
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-        # data_dir = dl_manager.download_and_extract("data.zip")
+        data_dir = dl_manager.download_and_extract("data.zip")
         return [
-            # datasets.SplitGenerator(
-            #     name=datasets.Split.TRAIN,
-            #     # These kwargs will be passed to _generate_examples
-            #     gen_kwargs={
-            #         "filepath": os.path.join(data_dir, "train.json"),
-            #         "split": "train",
-            #     },
-            # ),
-            # datasets.SplitGenerator(
-            #     name=datasets.Split.TEST,
-            #     # These kwargs will be passed to _generate_examples
-            #     gen_kwargs={
-            #         "filepath": os.path.join(data_dir, "test.json"),
-            #         "split": "test"
-            #     },
-            # ),
-            # datasets.SplitGenerator(
-            #     name=datasets.Split.VALIDATION,
-            #     # These kwargs will be passed to _generate_examples
-            #     gen_kwargs={
-            #         "filepath": os.path.join(data_dir, "val.json"),
-            #         "split": "dev",
-            #     },
-            # ),
-            # datasets.SplitGenerator(
-            #     name="challenge.CM+T",
-            #     # These kwargs will be passed to _generate_examples
-            #     gen_kwargs={
-            #         "filepath": os.path.join(data_dir, "test.json"),
-            #         "split": "challenge.CM+T",
-            #     },
-            # ),
             datasets.SplitGenerator(
-                name="challenge.butterfingers",
+                name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": dl_manager.download_and_extract("challenge_butterfingers.jsonl"),
-                    "split": "challenge",
+                    "filepath": os.path.join(data_dir, "train.json"),
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "test.json"),
+                    "split": "test"
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "val.json"),
+                    "split": "dev",
+                },
+            ),
+            datasets.SplitGenerator(
+                name="challenge_CM+T",
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "test.json"),
+                    "split": "challenge_CM+T",
                 },
             ),
         ]
@@ -271,21 +263,11 @@ class CrossWOZ(datasets.GeneratorBasedBuilder):
                 }
             }
 
-        if split == 'challenge':
-            with open(filepath, encoding="utf-8") as f:
-                for id_, row in enumerate(f):
-                    data = json.loads(row)
-                    yield id_, {
-                        "sentence": data["sentence"],
-                        "label": data["label"],
-                        "gem_id": data["gem_id"]
-                    }
-
         key = 0
         with open(filepath, encoding="utf-8") as f:
             data = json.load(f)
             for dialog_id, dialog in data.items():
-                if split == "challenge.CM+T" and dialog["type"] != "不独立多领域+交通":
+                if split == "challenge_CM+T" and dialog["type"] != "不独立多领域+交通":
                     continue
                 messages = []
                 for turn in dialog["messages"]: