update dataset_info

CrossWOZ.py

@@ -203,11 +203,11 @@ class CrossWOZ(datasets.GeneratorBasedBuilder):
                 },
             ),
             datasets.SplitGenerator(
-                name="challenge_CM+T",
+                name="challenge_CMT",
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "filepath": os.path.join(data_dir, "test.json"),
-                    "split": "challenge_CM+T",
+                    "split": "challenge_CMT",
                 },
             ),
         ]
@@ -267,7 +267,7 @@ class CrossWOZ(datasets.GeneratorBasedBuilder):
         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_CMT" and dialog["type"] != "不独立多领域+交通":
                     continue
                 messages = []
                 for turn in dialog["messages"]:

dataset_infos.json

@@ -1 +1 @@
-{"default": {"description": "CrossWOZ is the first large-scale Chinese Cross-Domain Wizard-of-Oz task-oriented dataset. It contains 6K dialogue sessions and 102K utterances for 5 domains, including hotel, restaurant, attraction, metro, and taxi. Moreover, the corpus contains rich annotation of dialogue states and dialogue acts at both user and system sides.\n", "citation": "@article{zhu2020crosswoz,\n  author = {Qi Zhu and Kaili Huang and Zheng Zhang and Xiaoyan Zhu and Minlie Huang},\n  title = {Cross{WOZ}: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset},\n  journal = {Transactions of the Association for Computational Linguistics},\n  year = {2020}\n}\n", "homepage": "https://github.com/thu-coai/CrossWOZ", "license": "Apache License, Version 2.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "dialog_id": {"dtype": "string", "id": null, "_type": "Value"}, "sys_id": {"dtype": "int32", "id": null, "_type": "Value"}, "usr_id": {"dtype": "int32", "id": null, "_type": "Value"}, "goal": {"feature": [{"dtype": "string", "id": null, "_type": "Value"}], "length": -1, "id": null, "_type": "Sequence"}, "task description": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, 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+{"default": {"description": "CrossWOZ is the first large-scale Chinese Cross-Domain Wizard-of-Oz task-oriented dataset. It contains 6K dialogue sessions and 102K utterances for 5 domains, including hotel, restaurant, attraction, metro, and taxi. Moreover, the corpus contains rich annotation of dialogue states and dialogue acts at both user and system sides.\n", "citation": "@article{zhu2020crosswoz,\n  author = {Qi Zhu and Kaili Huang and Zheng Zhang and Xiaoyan Zhu and Minlie Huang},\n  title = {Cross{WOZ}: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset},\n  journal = {Transactions of the Association for Computational Linguistics},\n  year = {2020}\n}\n", "homepage": "https://github.com/thu-coai/CrossWOZ", "license": "Apache License, Version 2.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "dialog_id": {"dtype": "string", "id": null, "_type": "Value"}, "sys_id": {"dtype": "int32", "id": null, "_type": "Value"}, "usr_id": {"dtype": "int32", "id": null, "_type": "Value"}, "goal": {"feature": [{"dtype": "string", "id": null, "_type": "Value"}], "length": -1, "id": null, "_type": "Sequence"}, "task description": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, 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