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update article

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  1. app.py +15 -16
app.py CHANGED
@@ -91,7 +91,7 @@ restaurant booking...
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  article = """
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  ### Model Outputs
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- This task-oriented diaogue system is trained end-to-end, following the method detailed in
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  [SimpleTOD](https://arxiv.org/pdf/2005.00796.pdf), where GPT-2 is trained by casting task-oriented
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  dialogue as a seq2seq task.
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@@ -111,21 +111,20 @@ conversation going.
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  ### Dataset
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  The SGD dataset ([blogpost](https://ai.googleblog.com/2019/10/introducing-schema-guided-dialogue.html) and
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  [article](https://arxiv.org/pdf/1909.05855.pdf)) contains multiple task domains... Here is a list of some
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- of the services and their desctipions from the dataset:
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-
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- * **Restaurants** : *A leading provider for restaurant search and reservations*
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- * **Weather** : *Check the weather for any place and any date*
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- * **Buses** : *Find a bus to take you to the city you want*
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- * **Calendar** : *Calendar service to manage personal events and reservations*
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- * **Flights** : *Find your next flight*
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- * **Events** : *Get tickets for the coolest concerts and sports in your area*
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- * **Homes** : *A widely used service for finding apartments and scheduling visits*
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- * **Hotels** : *A popular service for searching and reserving rooms in hotels*
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- * **Media** : *A leading provider of movies for searching and watching on-demand*
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- * **Banks** : *Manage bank accounts and transfer money*
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- * **Movies** : *A go-to provider for finding movies, searching for show times and booking tickets*
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- * **Music** : *A popular provider of a wide range of music content for searching and listening*
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- * **RentalCars** : *Car rental service with extensive coverage of locations and cars*
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  """
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  article = """
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  ### Model Outputs
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+ This task-oriented dialogue system is trained end-to-end, following the method detailed in
95
  [SimpleTOD](https://arxiv.org/pdf/2005.00796.pdf), where GPT-2 is trained by casting task-oriented
96
  dialogue as a seq2seq task.
97
 
 
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  ### Dataset
112
  The SGD dataset ([blogpost](https://ai.googleblog.com/2019/10/introducing-schema-guided-dialogue.html) and
113
  [article](https://arxiv.org/pdf/1909.05855.pdf)) contains multiple task domains... Here is a list of some
114
+ of the services and their descriptions from the dataset:
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+ * **Restaurants** : A leading provider for restaurant search and reservations
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+ * **Weather** : Check the weather for any place and any date
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+ * **Buses** : Find a bus to take you to the city you want
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+ * **Calendar** : Calendar service to manage personal events and reservations
119
+ * **Flights** : Find your next flight
120
+ * **Events** : Get tickets for the coolest concerts and sports in your area
121
+ * **Homes** : A widely used service for finding apartments and scheduling visits
122
+ * **Hotels** : A popular service for searching and reserving rooms in hotels
123
+ * **Media** : A leading provider of movies for searching and watching on-demand
124
+ * **Banks** : Manage bank accounts and transfer money
125
+ * **Movies** : A go-to provider for finding movies, searching for show times and booking tickets
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+ * **Music** : A popular provider of a wide range of music content for searching and listening
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+ * **RentalCars** : Car rental service with extensive coverage of locations and cars
 
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  """
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