New York City Lights Scenic Bridge View Concept

Frames Dataset

Summary

1,369
Dialogues

15
Average number of turns per dialogue

268
Hotels

109
Cities

4.58
Average user satisfaction (from 1-5)

19,986
Turns

 

Data Analysis

 

User and Machine Actions

Here, we provide some insight into the annotation scheme: each frame is given an id (here, 1 and 2). When values from one frame are used in another frame, we use a ref tag to point to the reference frame.

User I’d like to book a trip to boston from London on Saturday, August 13, 2016 for 8 adults. I have a tight budget of 1700. Frame #1
Act 1 inform(intent=book)
Act 2 inform(dst_city = boston, or_city = London, str_date = Saturday\, August 13\, 2016, n_adults = 8, budget = 1700)”
Wizard “Hi…I checked a few options for you, and unfortunately, we do not currently have any trips that meet this criteria. Would you like to book an alternate travel option?” Frame #1
Act 1 no_result
Act 2 suggest(dst_city)
User “Yes, how about going to Detroit from London on August 13, 2016 for 5 adults. For this trip, my budget would be 1900.” Frame #2
Act 1 inform(dst_city = Detroit, n_adults = 5, budget = 1900, ref = [1{or_city = London, str = August 13\, 2016}])
Wizard “I checked the availability for those dates and there were no trips available. Would you like to select some alternate dates?” Frame #2
Act 1 no_result(str_date, end_date)
Act 2 suggest(str_date, end_date)

 

Frames

Frame Change Statistics

16
Maximum number of frame changes

3.58
Average number of frame changes

 

Frame Statistics

35
Maximum number of frames in a conversation

6.71
Average number of frames in a conversation

People

Portrait of Hannes Schulz

Hannes Schulz

Senior Researcher

Portrait of Shikhar Sharma

Shikhar Sharma

Senior Research Software Development Engineer

Portrait of Justin D. Harris

Justin D. Harris

Principal Software Engineer

Portrait of Rahul Mehrotra

Rahul Mehrotra

Senior Program Manager

Portrait of Jeremie Zumer

Jeremie Zumer

SDE II