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Datasets:
GEM
/
CrossWOZ

Languages:
Chinese
Tags:
dialog-response-generation
License:
Dataset card Files
xet
Community
7

Fix definition of dataset features in loading script

#7
by albertvillanova HF Staff - opened
base: refs/heads/main
←
from: refs/pr/7
Discussion Files changed
+195
-6
Files changed (3) hide show
  1. CrossWOZ.py +4 -4
  2. README.md +191 -1
  3. dataset_infos.json +0 -1
CrossWOZ.py CHANGED
@@ -54,15 +54,15 @@ class CrossWOZ(datasets.GeneratorBasedBuilder):
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  "dialog_id": datasets.Value("string"),
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  "sys_id": datasets.Value("int32"),
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  "usr_id": datasets.Value("int32"),
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- "goal": datasets.Sequence((datasets.Value("string"),)),
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  "task description": datasets.Sequence(datasets.Value("string")),
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  "type": datasets.Value("string"),
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  "messages": datasets.Sequence(
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  {
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  "content": datasets.Value("string"),
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  "role": datasets.Value("string"),
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- "dialog_act": datasets.Sequence((datasets.Value("string"),)),
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- "user_state": datasets.Sequence((datasets.Value("string"),)),
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  "sys_state": {
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  "景点": {
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  "名称": datasets.Value("string"),
@@ -151,7 +151,7 @@ class CrossWOZ(datasets.GeneratorBasedBuilder):
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  },
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  }
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  ),
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- "final_goal": datasets.Sequence((datasets.Value("string"),)),
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  }
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  )
157
  return datasets.DatasetInfo(
 
54
  "dialog_id": datasets.Value("string"),
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  "sys_id": datasets.Value("int32"),
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  "usr_id": datasets.Value("int32"),
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+ "goal": datasets.Sequence([datasets.Value("string")]),
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  "task description": datasets.Sequence(datasets.Value("string")),
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  "type": datasets.Value("string"),
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  "messages": datasets.Sequence(
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  {
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  "content": datasets.Value("string"),
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  "role": datasets.Value("string"),
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+ "dialog_act": datasets.Sequence([datasets.Value("string")]),
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+ "user_state": datasets.Sequence([datasets.Value("string")]),
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  "sys_state": {
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  "景点": {
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  "名称": datasets.Value("string"),
 
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  },
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  }
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  ),
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+ "final_goal": datasets.Sequence([datasets.Value("string")]),
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  }
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  )
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  return datasets.DatasetInfo(
README.md CHANGED
@@ -19,6 +19,197 @@ task_ids: []
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  pretty_name: CrossWOZ
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  tags:
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  - dialog-response-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22
  ---
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  # Dataset Card for GEM/CrossWOZ
@@ -1516,4 +1707,3 @@ Model may not handle unknown values in the dialog
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  <!-- scope: microscope -->
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  Responses can be diverse, which is not captured by BLEU
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-
 
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  pretty_name: CrossWOZ
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  tags:
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  - dialog-response-generation
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+ dataset_info:
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+ features:
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+ - name: gem_id
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+ dtype: string
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+ - name: dialog_id
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+ dtype: string
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+ - name: sys_id
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+ dtype: int32
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+ - name: usr_id
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+ dtype: int32
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+ - name: goal
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+ sequence: string
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+ - name: task description
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+ sequence: string
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+ - name: type
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+ dtype: string
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+ - name: messages
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+ sequence:
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+ - name: content
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+ dtype: string
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+ - name: role
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+ dtype: string
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+ - name: dialog_act
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+ sequence: string
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+ - name: user_state
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+ sequence: string
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+ - name: sys_state
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+ struct:
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+ - name: 景点
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+ struct:
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+ - name: 名称
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+ dtype: string
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+ - name: 门票
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+ dtype: string
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+ - name: 游玩时间
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+ dtype: string
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+ - name: 评分
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+ dtype: string
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+ - name: 周边景点
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+ dtype: string
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+ - name: 周边餐馆
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+ dtype: string
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+ - name: 周边酒店
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+ dtype: string
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+ - name: selectedResults
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+ sequence: string
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+ - name: 餐馆
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+ struct:
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+ - name: 名称
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+ dtype: string
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+ - name: 推荐菜
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+ dtype: string
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+ - name: 人均消费
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+ dtype: string
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+ - name: 评分
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+ dtype: string
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+ - name: 周边景点
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+ dtype: string
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+ - name: 周边餐馆
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+ dtype: string
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+ - name: 周边酒店
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+ dtype: string
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+ - name: selectedResults
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+ sequence: string
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+ - name: 酒店
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+ struct:
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+ - name: 名称
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+ dtype: string
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+ - name: 酒店类型
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+ dtype: string
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+ - name: 酒店设施
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+ dtype: string
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+ - name: 价格
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+ dtype: string
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+ - name: 评分
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+ dtype: string
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+ - name: 周边景点
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+ dtype: string
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+ - name: 周边餐馆
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+ dtype: string
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+ - name: 周边酒店
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+ dtype: string
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+ - name: selectedResults
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+ sequence: string
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+ - name: 地铁
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+ struct:
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+ - name: 出发地
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+ dtype: string
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+ - name: 目的地
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+ dtype: string
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+ - name: selectedResults
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+ sequence: string
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+ - name: 出租
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+ struct:
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+ - name: 出发地
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+ dtype: string
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+ - name: 目的地
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+ dtype: string
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+ - name: selectedResults
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+ sequence: string
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+ - name: sys_state_init
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+ struct:
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+ - name: 景点
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+ struct:
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+ - name: 名称
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+ dtype: string
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+ - name: 门票
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+ dtype: string
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+ - name: 游玩时间
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+ dtype: string
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+ - name: 评分
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+ dtype: string
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+ - name: 周边景点
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+ dtype: string
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+ - name: 周边餐馆
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+ dtype: string
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+ - name: 周边酒店
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+ dtype: string
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+ - name: selectedResults
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+ sequence: string
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+ - name: 餐馆
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+ struct:
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+ - name: 名称
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+ dtype: string
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+ - name: 推荐菜
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+ dtype: string
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+ - name: 人均消费
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+ dtype: string
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+ - name: 评分
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+ dtype: string
152
+ - name: 周边景点
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+ dtype: string
154
+ - name: 周边餐馆
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+ dtype: string
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+ - name: 周边酒店
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+ dtype: string
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+ - name: selectedResults
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+ sequence: string
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+ - name: 酒店
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+ struct:
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+ - name: 名称
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+ dtype: string
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+ - name: 酒店类型
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+ dtype: string
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+ - name: 酒店设施
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+ dtype: string
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+ - name: 价格
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+ dtype: string
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+ - name: 评分
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+ dtype: string
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+ - name: 周边景点
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+ dtype: string
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+ - name: 周边餐馆
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+ dtype: string
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+ - name: 周边酒店
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+ dtype: string
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+ - name: selectedResults
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+ sequence: string
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+ - name: 地铁
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+ struct:
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+ - name: 出发地
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+ dtype: string
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+ - name: 目的地
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+ dtype: string
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+ - name: selectedResults
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+ sequence: string
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+ - name: 出租
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+ struct:
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+ - name: 出发地
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+ dtype: string
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+ - name: 目的地
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+ dtype: string
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+ - name: selectedResults
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+ sequence: string
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+ - name: final_goal
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+ sequence: string
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+ splits:
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+ - name: train
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+ num_bytes: 95331516
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+ num_examples: 5012
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+ - name: test
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+ num_bytes: 9558009
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+ num_examples: 500
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+ - name: validation
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+ num_bytes: 9499418
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+ num_examples: 500
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+ - name: challenge_CMT
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+ num_bytes: 1620484
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+ num_examples: 58
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+ download_size: 16338148
212
+ dataset_size: 116009427
213
  ---
214
 
215
  # Dataset Card for GEM/CrossWOZ
 
1707
  <!-- scope: microscope -->
1708
  Responses can be diverse, which is not captured by BLEU
1709
 
 
dataset_infos.json DELETED
@@ -1 +0,0 @@
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"}, "length": -1, "id": null, "_type": "Sequence"}, "type": {"dtype": "string", "id": null, "_type": "Value"}, "messages": {"feature": {"content": {"dtype": "string", "id": null, "_type": "Value"}, "role": {"dtype": "string", "id": null, "_type": "Value"}, "dialog_act": {"feature": [{"dtype": "string", "id": null, "_type": "Value"}], "length": -1, "id": null, "_type": "Sequence"}, "user_state": {"feature": [{"dtype": "string", "id": null, "_type": "Value"}], "length": -1, "id": null, "_type": "Sequence"}, "sys_state": {"\u666f\u70b9": {"\u540d\u79f0": {"dtype": "string", "id": null, "_type": "Value"}, "\u95e8\u7968": {"dtype": "string", "id": null, "_type": "Value"}, "\u6e38\u73a9\u65f6\u95f4": {"dtype": "string", "id": null, "_type": "Value"}, "\u8bc4\u5206": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u666f\u70b9": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u9910\u9986": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u9152\u5e97": {"dtype": "string", "id": null, "_type": "Value"}, "selectedResults": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "\u9910\u9986": {"\u540d\u79f0": {"dtype": "string", "id": null, "_type": "Value"}, "\u63a8\u8350\u83dc": {"dtype": "string", "id": null, "_type": "Value"}, "\u4eba\u5747\u6d88\u8d39": {"dtype": "string", "id": null, "_type": "Value"}, "\u8bc4\u5206": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u666f\u70b9": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u9910\u9986": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u9152\u5e97": {"dtype": "string", "id": null, "_type": "Value"}, "selectedResults": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "\u9152\u5e97": {"\u540d\u79f0": {"dtype": "string", "id": null, "_type": "Value"}, "\u9152\u5e97\u7c7b\u578b": {"dtype": "string", "id": null, "_type": "Value"}, "\u9152\u5e97\u8bbe\u65bd": {"dtype": "string", "id": null, "_type": "Value"}, "\u4ef7\u683c": {"dtype": "string", "id": null, "_type": "Value"}, "\u8bc4\u5206": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u666f\u70b9": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u9910\u9986": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u9152\u5e97": {"dtype": "string", "id": null, "_type": "Value"}, "selectedResults": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "\u5730\u94c1": {"\u51fa\u53d1\u5730": {"dtype": "string", "id": null, "_type": "Value"}, "\u76ee\u7684\u5730": {"dtype": "string", "id": null, "_type": "Value"}, "selectedResults": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "\u51fa\u79df": {"\u51fa\u53d1\u5730": {"dtype": "string", "id": null, "_type": "Value"}, "\u76ee\u7684\u5730": {"dtype": "string", "id": null, "_type": "Value"}, "selectedResults": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}}, "sys_state_init": {"\u666f\u70b9": {"\u540d\u79f0": {"dtype": "string", "id": null, "_type": "Value"}, "\u95e8\u7968": {"dtype": "string", "id": null, "_type": "Value"}, "\u6e38\u73a9\u65f6\u95f4": {"dtype": "string", "id": null, "_type": "Value"}, "\u8bc4\u5206": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u666f\u70b9": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u9910\u9986": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u9152\u5e97": {"dtype": "string", "id": null, "_type": "Value"}, "selectedResults": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "\u9910\u9986": {"\u540d\u79f0": {"dtype": "string", "id": null, "_type": "Value"}, "\u63a8\u8350\u83dc": {"dtype": "string", "id": null, "_type": "Value"}, "\u4eba\u5747\u6d88\u8d39": {"dtype": "string", "id": null, "_type": "Value"}, "\u8bc4\u5206": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u666f\u70b9": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u9910\u9986": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u9152\u5e97": {"dtype": "string", "id": null, "_type": "Value"}, "selectedResults": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "\u9152\u5e97": {"\u540d\u79f0": {"dtype": "string", "id": null, "_type": "Value"}, "\u9152\u5e97\u7c7b\u578b": {"dtype": "string", "id": null, "_type": "Value"}, "\u9152\u5e97\u8bbe\u65bd": {"dtype": "string", "id": null, "_type": "Value"}, "\u4ef7\u683c": {"dtype": "string", "id": null, "_type": "Value"}, "\u8bc4\u5206": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u666f\u70b9": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u9910\u9986": {"dtype": "string", "id": null, "_type": "Value"}, "\u5468\u8fb9\u9152\u5e97": {"dtype": "string", "id": null, "_type": "Value"}, "selectedResults": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "\u5730\u94c1": {"\u51fa\u53d1\u5730": {"dtype": "string", "id": null, "_type": "Value"}, "\u76ee\u7684\u5730": {"dtype": "string", "id": null, "_type": "Value"}, "selectedResults": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "\u51fa\u79df": {"\u51fa\u53d1\u5730": {"dtype": "string", "id": null, "_type": "Value"}, "\u76ee\u7684\u5730": {"dtype": "string", "id": null, "_type": "Value"}, "selectedResults": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}}}, "length": -1, "id": null, "_type": "Sequence"}, "final_goal": {"feature": [{"dtype": "string", "id": null, "_type": "Value"}], "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "cross_woz", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 99060478, "num_examples": 5012, "dataset_name": "cross_woz"}, "test": {"name": "test", "num_bytes": 9931589, "num_examples": 500, "dataset_name": "cross_woz"}, "validation": {"name": "validation", "num_bytes": 9871636, "num_examples": 500, "dataset_name": "cross_woz"}, "challenge_CMT": {"name": "challenge_CMT", "num_bytes": 1688138, "num_examples": 58, "dataset_name": "cross_woz"}}, "download_checksums": {"data.zip": {"num_bytes": 16338148, "checksum": "c70e36e62f501a77537dedbd0340afeec9899f7c24574505785e372ba25894c2"}}, "download_size": 16338148, "post_processing_size": null, "dataset_size": 120551841, "size_in_bytes": 136889989}}