Datasets:

Languages: en
Multilinguality: monolingual
Size Categories: 10K<n<100K
Licenses: unknown
Language Creators: crowdsourced
Annotations Creators: crowdsourced
Source Datasets: original
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uuid (string)scenario_uuid (string)scenario_alphas (json)scenario_attributes (json)scenario_kbs (json)agents (json)outcome_reward (int)events (json)
C_1cd18fccedb341bbb091790438efdd88
S_y8wfjxPuIjR8Xsut
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{ "unique": [ false, false, false ], "value_type": [ "major", "hobby", "time_pref" ], "name": [ "Major", "Hobby", "Time Preference" ] }
[ [ [ [ "Hobby", "Major", "Time Preference" ], [ "Calligraphy", "African Studies", "afternoon" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Topiary", "Middle Eastern Studies", "afternoon" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Element collecting", "African Studies", "afternoon" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Snowboarding", "African Studies", "afternoon" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Rock climbing", "Computer Programming", "evening" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Topiary", "Photography", "evening" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Camping", "Agricultural Sciences", "evening" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Rock climbing", "Multi Studies", "afternoon" ] ] ], [ [ [ "Hobby", "Major", "Time Preference" ], [ "Freestyle football", "Zoology", "afternoon" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Vehicle restoration", "Metallurgical Engineering", "afternoon" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Camping", "Multi Studies", "morning" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Rock climbing", "Metallurgical Engineering", "afternoon" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Aqua-lung", "Metallurgical Engineering", "afternoon" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Freestyle football", "Metallurgical Engineering", "afternoon" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Camping", "Agricultural Sciences", "evening" ] ], [ [ "Hobby", "Major", "Time Preference" ], [ "Vehicle restoration", "Metallurgical Engineering", "evening" ] ] ] ]
{ "0": "human", "1": "human" }
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C_44d7a9ae0bed4ee48660c4698c9ae32a
S_VzINE3imZiJO87Xt
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{ "unique": [ false, false, false ], "value_type": [ "name", "school", "time_pref" ], "name": [ "Name", "School", "Time Preference" ] }
[ [ [ [ "School", "Name", "Time Preference" ], [ "University of Wisconsin-Madison", "Samuel", "evening" ] ], [ [ "School", "Name", "Time Preference" ], [ "Miami Christian University", "Matthew", "morning" ] ], [ [ "School", "Name", "Time Preference" ], [ "Miami Christian University", "Nathan", "morning" ] ], [ [ "School", "Name", "Time Preference" ], [ "Miami Christian University", "Lisa", "morning" ] ], [ [ "School", "Name", "Time Preference" ], [ "Miami Christian University", "Mildred", "morning" ] ], [ [ "School", "Name", "Time Preference" ], [ "Albion College", "Samuel", "morning" ] ] ], [ [ [ "School", "Name", "Time Preference" ], [ "Albion College", "Arthur", "evening" ] ], [ [ "School", "Name", "Time Preference" ], [ "West Texas A&M University", "Nathan", "morning" ] ], [ [ "School", "Name", "Time Preference" ], [ "Murray State University", "Elizabeth", "evening" ] ], [ [ "School", "Name", "Time Preference" ], [ "University of Wisconsin-Madison", "Samuel", "evening" ] ], [ [ "School", "Name", "Time Preference" ], [ "Murray State University", "Nathan", "evening" ] ], [ [ "School", "Name", "Time Preference" ], [ "West Texas A&M University", "Matthew", "evening" ] ] ] ]
{ "0": "human", "1": "human" }
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{ "actions": [ "select", "message", "message", "select" ], "start_times": [ -1, -1, -1, -1 ], "data_messages": [ "", "Most of my friends prefer the morning", "evening, sorry ", "" ], "data_selects": { "attributes": [ [ "School", "Name", "Time Preference" ], [], [], [ "School", "Name", "Time Preference" ] ], "values": [ [ "University of Wisconsin-Madison", "Samuel", "evening" ], [], [], [ "University of Wisconsin-Madison", "Samuel", "evening" ] ] }, "agents": [ 0, 1, 1, 1 ], "times": [ 1480736443, 1480736446, 1480736457, 1480736463 ] }
C_7b53b03393124ce584f0c2a7de971b6e
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{ "0": "human", "1": "human" }
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C_b25565a9482d49b9898a7d51c86f3674
S_NQH05oCo5FFuj6sI
[ 3, 1, 3, 1 ]
{ "unique": [ false, false, false, false ], "value_type": [ "school", "major", "time_pref", "loc_pref" ], "name": [ "School", "Major", "Time Preference", "Location Preference" ] }
[ [ [ [ "Major", "Time Preference", "School", "Location Preference" ], [ "English Literature", "morning", "Purdue University", "outdoor" ] ], [ [ "Major", "Time Preference", "School", "Location Preference" ], [ "Information Mgmt. Sciences & Systems", "morning", "Hendrix College", "outdoor" ] ], [ [ "Major", "Time Preference", "School", "Location Preference" ], [ "Italian", "evening", "Augustana College", "indoor" ] ], [ [ "Major", "Time Preference", "School", "Location Preference" ], [ "Actuarial Sciences", "afternoon", "Louisiana State University at Alexandria", "indoor" ] ], [ [ "Major", "Time Preference", "School", "Location Preference" ], [ "Marine Engineering", "evening", "Purdue University", "indoor" ] ], [ [ "Major", "Time Preference", "School", "Location Preference" ], [ "Italian", "afternoon", "Purdue University", "indoor" ] ] ], [ [ [ "Major", "Time Preference", "School", "Location Preference" ], [ "Computer Mathematics", "morning", "Purdue University", "outdoor" ] ], [ [ "Major", "Time Preference", "School", "Location Preference" ], [ "Mormon Affiliation", "afternoon", "Purdue University", "outdoor" ] ], [ [ "Major", "Time Preference", "School", "Location Preference" ], [ "Italian", "morning", "Governors State University", "indoor" ] ], [ [ "Major", "Time Preference", "School", "Location Preference" ], [ "Italian", "afternoon", "Purdue University", "indoor" ] ], [ [ "Major", "Time Preference", "School", "Location Preference" ], [ "Italian", "morning", "Augustana College", "outdoor" ] ], [ [ "Major", "Time Preference", "School", "Location Preference" ], [ "Mormon Affiliation", "afternoon", "Virginia Commonwealth University", "indoor" ] ] ] ]
{ "0": "human", "1": "human" }
0
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C_a1afa877d6744914be7ca82041fa7a37
S_dIMYG9a6UAFBEr7T
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{ "unique": [ false, false, false, false ], "value_type": [ "school", "major", "hobby", "loc_pref" ], "name": [ "School", "Major", "Hobby", "Location Preference" ] }
[ [ [ [ "Hobby", "School", "Major", "Location Preference" ], [ "Racquetball", "Frostburg State University", "Engineering Mechanics", "indoor" ] ], [ [ "Hobby", "School", "Major", "Location Preference" ], [ "Racquetball", "Texas Tech University-Health Sciences Center", "Engineering Mechanics", "indoor" ] ], [ [ "Hobby", "School", "Major", "Location Preference" ], [ "Scuba diving", "Wright State University", "Aviation & Air Transportation", "outdoor" ] ], [ [ "Hobby", "School", "Major", "Location Preference" ], [ "Laser tag", "Hastings College", "Applied Mathematics", "indoor" ] ], [ [ "Hobby", "School", "Major", "Location Preference" ], [ "Auto racing", "Wright State University", "Engineering Mechanics", "indoor" ] ], [ [ "Hobby", "School", "Major", "Location Preference" ], [ "Scuba diving", "Frostburg State University", "Engineering Mechanics", "outdoor" ] ] ], [ [ [ "Hobby", "School", "Major", "Location Preference" ], [ "Air sports", "City University", "Engineering Mechanics", "outdoor" ] ], [ [ "Hobby", "School", "Major", "Location Preference" ], [ "Ultimate Disc", "Brandeis University", "Astronomy", "outdoor" ] ], [ [ "Hobby", "School", "Major", "Location Preference" ], [ "Racquetball", "Texas Tech University-Health Sciences Center", "Engineering Mechanics", "indoor" ] ], [ [ "Hobby", "School", "Major", "Location Preference" ], [ "Fencing", "New Mexico State University", "Electrical Engineering", "indoor" ] ], [ [ "Hobby", "School", "Major", "Location Preference" ], [ "Air sports", "Troy State University", "Electrical Engineering", "indoor" ] ], [ [ "Hobby", "School", "Major", "Location Preference" ], [ "Bridge", "Texas Tech University-Health Sciences Center", "Religious Education", "outdoor" ] ] ] ]
{ "0": "human", "1": "human" }
0
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C_3f8974cf1fab4db9afbab5172da58db4
S_mdl9n3vxt9ARjz1M
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{ "unique": [ false, false, false, false ], "value_type": [ "major", "company", "hobby", "time_pref" ], "name": [ "Major", "Company", "Hobby", "Time Preference" ] }
[ [ [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Antiquities", "Catholic Affiliation", "Arbusto Energy", "morning" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Ice hockey", "Physical Education", "Beam Inc.", "morning" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Kite flying", "Astrophysics", "Kaiser Permanente", "morning" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Exhibition drill", "Bible Studies", "Au Bon Pain", "morning" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Exhibition drill", "Russian", "Beam Inc.", "evening" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Antiquities", "Crafts & Artisanry", "Vulcan Corporation", "morning" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Martial arts", "Philosophy", "CDW Corporation", "afternoon" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Sketching", "Russian", "Southwest Airlines", "evening" ] ] ], [ [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Ice hockey", "Physical Education", "Beam Inc.", "morning" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Exhibition drill", "Russian", "Franklin Templeton", "afternoon" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Exhibition drill", "Physical Education", "Kaiser Permanente", "afternoon" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Kite flying", "Physical Education", "Au Bon Pain", "evening" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Martial arts", "Chemistry", "Arbusto Energy", "afternoon" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Billiards", "Crafts & Artisanry", "DeVry, Inc.", "morning" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Exhibition drill", "Physical Education", "CDW Corporation", "morning" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Martial arts", "Catholic Affiliation", "DeVry, Inc.", "morning" ] ] ] ]
{ "0": "human", "1": "human" }
1
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C_4ef19530558449a098115681534dfb94
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{ "unique": [ false, false, false ], "value_type": [ "school", "major", "company" ], "name": [ "School", "Major", "Company" ] }
[ [ [ [ "School", "Company", "Major" ], [ "University of New Hampshire, Durham", "Charter Arms", "Scandinavian" ] ], [ [ "School", "Company", "Major" ], [ "Rutgers University, Camden", "Verizon Communications", "History" ] ], [ [ "School", "Company", "Major" ], [ "University of New Hampshire, Durham", "Verizon Communications", "Actuarial Sciences" ] ], [ [ "School", "Company", "Major" ], [ "Rutgers University, Camden", "Tiffany & Company", "History" ] ], [ [ "School", "Company", "Major" ], [ "Villanova University", "Verizon Communications", "Electromechanical Technology" ] ] ], [ [ [ "School", "Company", "Major" ], [ "Villanova University", "Charter Arms", "Computer & Information Sciences" ] ], [ [ "School", "Company", "Major" ], [ "Villanova University", "Ideal Industries", "History" ] ], [ [ "School", "Company", "Major" ], [ "Villanova University", "Charter Arms", "Adult & Continuing Education" ] ], [ [ "School", "Company", "Major" ], [ "Villanova University", "Watsco, Inc.", "Earth & Space Sciences" ] ], [ [ "School", "Company", "Major" ], [ "Rutgers University, Camden", "Verizon Communications", "History" ] ] ] ]
{ "0": "human", "1": "human" }
1
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C_1a3dca1e45b7443194897e0301d198ab
S_ifnvNSJP47YgijFZ
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{ "unique": [ false, false, false ], "value_type": [ "name", "major", "company" ], "name": [ "Name", "Major", "Company" ] }
[ [ [ [ "Major", "Company", "Name" ], [ "Chinese", "New York Life Insurance Company", "Arthur" ] ], [ [ "Major", "Company", "Name" ], [ "Bilingual Education", "Amazon.com", "Virginia" ] ], [ [ "Major", "Company", "Name" ], [ "Foreign Languages", "Berkshire Hathaway", "Virginia" ] ], [ [ "Major", "Company", "Name" ], [ "African Studies", "Amazon.com", "Aaron" ] ], [ [ "Major", "Company", "Name" ], [ "Computer & Information Sciences", "New York Life Insurance Company", "Arthur" ] ], [ [ "Major", "Company", "Name" ], [ "Japanese", "New York Life Insurance Company", "Arthur" ] ], [ [ "Major", "Company", "Name" ], [ "Computer Science Education", "Amazon.com", "Virginia" ] ], [ [ "Major", "Company", "Name" ], [ "African Studies", "Amazon.com", "Kathryn" ] ], [ [ "Major", "Company", "Name" ], [ "Religious Education", "New York Life Insurance Company", "Arthur" ] ], [ [ "Major", "Company", "Name" ], [ "Computer & Information Sciences", "Argonide", "Jesse" ] ] ], [ [ [ "Major", "Company", "Name" ], [ "Physical Education", "UnitedHealth Group", "Heather" ] ], [ [ "Major", "Company", "Name" ], [ "Japanese", "Discovery Communications", "Rebecca" ] ], [ [ "Major", "Company", "Name" ], [ "Liberal Arts Education", "Discovery Communications", "Karen" ] ], [ [ "Major", "Company", "Name" ], [ "Religious Education", "Argonide", "Matthew" ] ], [ [ "Major", "Company", "Name" ], [ "Design", "Argonide", "Martha" ] ], [ [ "Major", "Company", "Name" ], [ "Design", "UnitedHealth Group", "Victoria" ] ], [ [ "Major", "Company", "Name" ], [ "Philosophy & Religion", "United Rentals", "Frank" ] ], [ [ "Major", "Company", "Name" ], [ "Computer & Information Sciences", "Argonide", "Jesse" ] ], [ [ "Major", "Company", "Name" ], [ "Chinese", "Au Bon Pain", "Frank" ] ], [ [ "Major", "Company", "Name" ], [ "Sociology", "Argonide", "Ruth" ] ] ] ]
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{ "unique": [ false, false, false, false ], "value_type": [ "major", "company", "hobby", "time_pref" ], "name": [ "Major", "Company", "Hobby", "Time Preference" ] }
[ [ [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Judo", "Comparative Literature", "Kinder Morgan", "morning" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "3D printing", "Comparative Literature", "Jamba Juice", "evening" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "3D printing", "Occupational Safety & Health Tech.", "Whole Foods Market", "evening" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Woodworking", "Fine Arts", "Kinder Morgan", "morning" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Judo", "Comparative Literature", "BlackRock", "evening" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Playing musical instruments", "Women's Studies", "BlackRock", "evening" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Sketching", "Fine Arts", "Whole Foods Market", "morning" ] ] ], [ [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Vintage cars", "English Language", "Publishers Clearing House", "afternoon" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Wood carving", "Construction & Building Tech.", "Publishers Clearing House", "afternoon" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Judo", "Comparative Literature", "BlackRock", "evening" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Woodworking", "Construction & Building Tech.", "Russell Investments", "afternoon" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "3D printing", "Plant & Soil Sciences", "Peabody Energy", "morning" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Air sports", "Computer Programming", "Peabody Energy", "afternoon" ] ], [ [ "Hobby", "Major", "Company", "Time Preference" ], [ "Darts", "Comparative Literature", "Lighthouse Design", "morning" ] ] ] ]
{ "0": "human", "1": "human" }
1
{ "actions": [ "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "select", "select" ], "start_times": [ -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1 ], "data_messages": [ "Hi", "Do you have friends who enjoy Judo?", "hello", "I have 2 that orks at peabody .", "I have no friends at Peabody", "Do you have any friends who like to 3D print?", "one that likes evenings", "i have 2 ", "3d print", "does any like darts ?", "The friends who like to 3d print", "do either work at Jamba Juice?", "nope", "what about whole foods?", "how about lighthose design ?", "nope i have 2 at publishers ?", "no lighthouse", "i don't have any friends at publishers", "I have two friends at Kinder Morgan", "two at Blackrock", "and a friend at whole foods", "", "" ], "data_selects": { "attributes": [ [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [ "Hobby", "Major", "Company", "Time Preference" ], [ "Hobby", "Major", "Company", "Time Preference" ] ], "values": [ [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [ "Judo", "Comparative Literature", "BlackRock", "evening" ], [ "Judo", "Comparative Literature", "BlackRock", "evening" ] ] }, "agents": [ 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0 ], "times": [ 1480737230, 1480737237, 1480737239, 1480737272, 1480737284, 1480737293, 1480737300, 1480737309, 1480737316, 1480737329, 1480737349, 1480737354, 1480737389, 1480737401, 1480737408, 1480737424, 1480737436, 1480737441, 1480737447, 1480737451, 1480737461, 1480737481, 1480737500 ] }
C_6774e74fbb8942e987cb7674dfe2ae00
S_1TRSGhYQacATlQZt
[ 0.3, 3, 1, 1 ]
{ "unique": [ false, false, false, false ], "value_type": [ "school", "company", "hobby", "time_pref" ], "name": [ "School", "Company", "Hobby", "Time Preference" ] }
[ [ [ [ "Hobby", "School", "Company", "Time Preference" ], [ "Table tennis", "Campbell University", "ExxonMobil", "evening" ] ], [ [ "Hobby", "School", "Company", "Time Preference" ], [ "Metal detecting", "Campbell University", "Unisys", "afternoon" ] ], [ [ "Hobby", "School", "Company", "Time Preference" ], [ "Basketball", "University of Nevada, Las Vegas", "Quincy Newspapers", "morning" ] ], [ [ "Hobby", "School", "Company", "Time Preference" ], [ "Beekeeping", "Teikyo Marycrest University", "Unisys", "evening" ] ], [ [ "Hobby", "School", "Company", "Time Preference" ], [ "Table tennis", "Campbell University", "Affiliated Computer Services", "evening" ] ], [ [ "Hobby", "School", "Company", "Time Preference" ], [ "Foreign language learning", "Campbell University", "Affiliated Computer Services", "evening" ] ] ], [ [ [ "Hobby", "School", "Company", "Time Preference" ], [ "Basketball", "University of California, Santa Cruz", "B/E Aerospace", "morning" ] ], [ [ "Hobby", "School", "Company", "Time Preference" ], [ "Rafting", "Suffolk University", "Unisys", "evening" ] ], [ [ "Hobby", "School", "Company", "Time Preference" ], [ "Squash", "Suffolk University", "The Weinstein Company", "morning" ] ], [ [ "Hobby", "School", "Company", "Time Preference" ], [ "Beekeeping", "Teikyo Marycrest University", "Unisys", "evening" ] ], [ [ "Hobby", "School", "Company", "Time Preference" ], [ "Squash", "University of California, Santa Cruz", "ExxonMobil", "evening" ] ], [ [ "Hobby", "School", "Company", "Time Preference" ], [ "Beekeeping", "Campbell University", "B/E Aerospace", "morning" ] ] ] ]
{ "0": "human", "1": "human" }
1
{ "actions": [ "message", "message", "select", "select" ], "start_times": [ -1, -1, -1, -1 ], "data_messages": [ "hey", "i have a friend that went to teikyo works at unisys likes beekeeping", "", "" ], "data_selects": { "attributes": [ [], [], [ "Hobby", "School", "Company", "Time Preference" ], [ "Hobby", "School", "Company", "Time Preference" ] ], "values": [ [], [], [ "Beekeeping", "Teikyo Marycrest University", "Unisys", "evening" ], [ "Beekeeping", "Teikyo Marycrest University", "Unisys", "evening" ] ] }, "agents": [ 1, 1, 0, 1 ], "times": [ 1480737233, 1480737266, 1480737269, 1480737271 ] }
C_8bbc243e68a14c388e87c6c52704be5a
S_P08imQJ5y5lCJKRh
[ 0.3, 0.3, 0.3 ]
{ "unique": [ false, false, false ], "value_type": [ "name", "major", "loc_pref" ], "name": [ "Name", "Major", "Location Preference" ] }
[ [ [ [ "Major", "Name", "Location Preference" ], [ "Philosophy", "Emma", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Philosophy", "Barbara", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Aviation & Air Transportation", "Howard", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Atmospheric Sciences & Meteorology", "Emma", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Ministry & Church Administration", "Kimberly", "indoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Fashion Design", "Kimberly", "indoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Zoology", "Emma", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Atmospheric Sciences & Meteorology", "Gloria", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Biblical Languages", "Cheryl", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Astrophysics", "Barbara", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Economics", "Emma", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "American Studies", "Matthew", "outdoor" ] ] ], [ [ [ "Major", "Name", "Location Preference" ], [ "Astrophysics", "Barbara", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Information Mgmt. Sciences & Systems", "Barbara", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Mathematics Education", "Albert", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Fashion Design", "Carl", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Aviation & Air Transportation", "Gloria", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Islamic Studies", "Barbara", "indoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Dance", "Howard", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Dance", "Barbara", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Fashion Design", "Frances", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Fashion Design", "Howard", "indoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Astrophysics", "Ann", "outdoor" ] ], [ [ "Major", "Name", "Location Preference" ], [ "Astrophysics", "Albert", "outdoor" ] ] ] ]
{ "0": "human", "1": "human" }
0
{ "actions": [ "message", "message", "message", "message", "message", "message", "message", "message", "select", "select", "message", "message", "message", "message", "select", "message" ], "start_times": [ -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1 ], "data_messages": [ "hi", "do your friends prefer indoors or outdoors?", "mostly outdoors, 2 indoor", "ok, what about their majors? anyone into fashion or ministry?", "francis, carl, and howard are into fashion", "I'm not friends with those people. I do have a friend named Emma that is into Zoology, philosopy, econ and atmospheric sciences", "Know any barbaras or howards?", "Yes, I know a Barbara and Howard!", "", "", "Maybe Barbara?", "no...", "What about an albert?", "Ok, no alberts. What about gloria or cheryl?", "", "No that's not the same gloria for me. Do you know any matthews or cheryls?" ], "data_selects": { "attributes": [ [], [], [], [], [], [], [], [], [ "Major", "Name", "Location Preference" ], [ "Major", "Name", "Location Preference" ], [], [], [], [], [ "Major", "Name", "Location Preference" ], [] ], "values": [ [], [], [], [], [], [], [], [], [ "Aviation & Air Transportation", "Howard", "outdoor" ], [ "Philosophy", "Barbara", "outdoor" ], [], [], [], [], [ "Aviation & Air Transportation", "Gloria", "outdoor" ], [] ] }, "agents": [ 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0 ], "times": [ 1480737241, 1480737248, 1480737258, 1480737287, 1480737318, 1480737363, 1480737392, 1480737402, 1480737404, 1480737432, 1480737433, 1480737446, 1480737453, 1480737467, 1480737472, 1480737500 ] }
C_b12060fd5d30464db6be88e3b9f8eb5d
S_eZp8RJHWNCktDUmV
[ 3, 1, 1 ]
{ "unique": [ false, false, false ], "value_type": [ "name", "company", "hobby" ], "name": [ "Name", "Company", "Hobby" ] }
[ [ [ [ "Hobby", "Company", "Name" ], [ "Baton twirling", "E*Trade Financial Corporation", "Melissa" ] ], [ [ "Hobby", "Company", "Name" ], [ "Tour skating", "Trader Vic's", "Rachel" ] ], [ [ "Hobby", "Company", "Name" ], [ "Baton twirling", "Space Adventures", "Keith" ] ], [ [ "Hobby", "Company", "Name" ], [ "Electronics", "Gap", "Gregory" ] ], [ [ "Hobby", "Company", "Name" ], [ "Walking", "Dick's Sporting Goods", "Kathy" ] ], [ [ "Hobby", "Company", "Name" ], [ "Walking", "Gap", "Bruce" ] ], [ [ "Hobby", "Company", "Name" ], [ "Aqua-lung", "Gap", "Melissa" ] ], [ [ "Hobby", "Company", "Name" ], [ "Camping", "Trader Vic's", "Melissa" ] ] ], [ [ [ "Hobby", "Company", "Name" ], [ "Netball", "Analog Devices", "Keith" ] ], [ [ "Hobby", "Company", "Name" ], [ "Poker", "Analog Devices", "Arthur" ] ], [ [ "Hobby", "Company", "Name" ], [ "Dance", "Estwing Manufacturing Company", "Kathy" ] ], [ [ "Hobby", "Company", "Name" ], [ "Inline skating", "Estwing Manufacturing Company", "Kathy" ] ], [ [ "Hobby", "Company", "Name" ], [ "Lucid dreaming", "AmerisourceBergen", "Kathy" ] ], [ [ "Hobby", "Company", "Name" ], [ "Electronics", "Estwing Manufacturing Company", "Keith" ] ], [ [ "Hobby", "Company", "Name" ], [ "Tour skating", "Trader Vic's", "Rachel" ] ], [ [ "Hobby", "Company", "Name" ], [ "Tour skating", "AirTran Holdings", "Gloria" ] ] ] ]
{ "0": "human", "1": "human" }
0
{ "actions": [ "message" ], "start_times": [ -1 ], "data_messages": [ "heyo" ], "data_selects": { "attributes": [ [] ], "values": [ [] ] }, "agents": [ 0 ], "times": [ 1480737269 ] }
C_e0fd238ff72c4531b82f58bedbc28f41
S_BLMfoyENRAqp4yJU
[ 1, 1, 3, 3 ]
{ "unique": [ false, false, false, false ], "value_type": [ "name", "major", "hobby", "time_pref" ], "name": [ "Name", "Major", "Hobby", "Time Preference" ] }
[ [ [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Road biking", "Liberal Studies", "Eric", "morning" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Cheerleading", "Petroleum Engineering", "Ryan", "morning" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Knapping", "Liberal Studies", "Timothy", "morning" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Cheerleading", "Electrical Technology", "Ryan", "morning" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Element collecting", "Earth & Space Sciences", "Jacqueline", "morning" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Cycling", "Hispanic-American Studies", "Brandon", "morning" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Martial arts", "Liberal Studies", "Eric", "morning" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Whittling", "Electrical Technology", "Eric", "morning" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Quilting", "Middle Eastern Studies", "Ryan", "evening" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Cheerleading", "Liberal Studies", "Noah", "afternoon" ] ] ], [ [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Quilting", "Slavic", "Eric", "morning" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Fishing", "Liberal Studies", "Albert", "afternoon" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Cheerleading", "Liberal Studies", "Noah", "afternoon" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Road biking", "Slavic", "Angela", "morning" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Community", "Liberal Studies", "Steven", "evening" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Martial arts", "Liberal Studies", "Albert", "afternoon" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Vacation", "Electrical Technology", "Lawrence", "afternoon" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Stamp collecting", "Spanish", "Brandon", "morning" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Flower arranging", "Creative Writing", "Lawrence", "evening" ] ], [ [ "Hobby", "Major", "Name", "Time Preference" ], [ "Painting", "Electrical Technology", "Albert", "afternoon" ] ] ] ]
{ "0": "human", "1": "human" }
1
{ "actions": [ "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "message", "select", "message", "select" ], "start_times": [ -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1 ], "data_messages": [ "i have 4 friends liberal studies", "are any called eric?", "eric slavic quilting moring", "do u have this eric", "no", "i have 2 friends named lawrence", "Do you have another eric?", "no lawrence", "no more eric", "i have 3 alberts", "How abut noah?", "i have noah liberal studies cheerleading ", "does it match?", "", "yes", "" ], "data_selects": { "attributes": [ [], [], [], [], [], [], [], [], [], [], [], [], [], [ "Hobby", "Major", "Name", "Time Preference" ], [], [ "Hobby", "Major", "Name", "Time Preference" ] ], "values": [ [], [], [], [], [], [], [], [], [], [], [], [], [], [ "Cheerleading", "Liberal Studies", "Noah", "afternoon" ], [], [ "Cheerleading", "Liberal Studies", "Noah", "afternoon" ] ] }, "agents": [ 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1 ], "times": [ 1480737278, 1480737305, 1480737322, 1480737348, 1480737349, 1480737367, 1480737368, 1480737375, 1480737382, 1480737395, 1480737396, 1480737413, 1480737435, 1480737453, 1480737461, 1480737464 ] }
End of preview (truncated to 100 rows)

Dataset Card for MutualFriends

Dataset Summary

Our goal is to build systems that collaborate with people by exchanging information through natural language and reasoning over structured knowledge base. In the MutualFriend task, two agents, A and B, each have a private knowledge base, which contains a list of friends with multiple attributes (e.g., name, school, major, etc.). The agents must chat with each other to find their unique mutual friend.

Supported Tasks and Leaderboards

We consider two agents, each with a private knowledge base of items, who must communicate their knowledge to achieve a common goal. Specifically, we designed the MutualFriends task (see the figure below). Each agent has a list of friends with attributes like school, major etc. They must chat with each other to find the unique mutual friend.

Languages

The text in the dataset is in English. The associated BCP-47 code is en.

Dataset Structure

Data Instances

An example looks like this.

{
  'uuid': 'C_423324a5fff045d78bef75a6f295a3f4'

  'scenario_uuid': 'S_hvmRM4YNJd55ecT5',
  'scenario_alphas': [0.30000001192092896, 1.0, 1.0],
  'scenario_attributes': {
    'name': ['School', 'Company', 'Location Preference'],
    'unique': [False, False, False],
    'value_type': ['school', 'company', 'loc_pref']
  },
  'scenario_kbs': [
    [
      [['School', 'Company', 'Location Preference'], ['Longwood College', 'Alton Steel', 'indoor']],
      [['School', 'Company', 'Location Preference'], ['Salisbury State University', 'Leonard Green & Partners', 'indoor']],
      [['School', 'Company', 'Location Preference'], ['New Mexico Highlands University', 'Crazy Eddie', 'indoor']],
      [['School', 'Company', 'Location Preference'], ['Rhodes College', "Tully's Coffee", 'indoor']],
      [['School', 'Company', 'Location Preference'], ['Sacred Heart University', 'AMR Corporation', 'indoor']],
      [['School', 'Company', 'Location Preference'], ['Salisbury State University', 'Molycorp', 'indoor']],
      [['School', 'Company', 'Location Preference'], ['New Mexico Highlands University', 'The Hartford Financial Services Group', 'indoor']],
      [['School', 'Company', 'Location Preference'], ['Sacred Heart University', 'Molycorp', 'indoor']],
      [['School', 'Company', 'Location Preference'], ['Babson College', 'The Hartford Financial Services Group', 'indoor']]
    ],
    [
      [['School', 'Company', 'Location Preference'], ['National Technological University', 'Molycorp', 'indoor']],
      [['School', 'Company', 'Location Preference'], ['Fairmont State College', 'Leonard Green & Partners', 'outdoor']],
      [['School', 'Company', 'Location Preference'], ['Johnson C. Smith University', 'Data Resources Inc.', 'outdoor']],
      [['School', 'Company', 'Location Preference'], ['Salisbury State University', 'Molycorp', 'indoor']],
      [['School', 'Company', 'Location Preference'], ['Fairmont State College', 'Molycorp', 'outdoor']],
      [['School', 'Company', 'Location Preference'], ['University of South Carolina - Aiken', 'Molycorp', 'indoor']],
      [['School', 'Company', 'Location Preference'], ['University of South Carolina - Aiken', 'STX', 'outdoor']],
      [['School', 'Company', 'Location Preference'], ['National Technological University', 'STX', 'outdoor']],
      [['School', 'Company', 'Location Preference'], ['Johnson C. Smith University', 'Rockstar Games', 'indoor']]
    ]
  ],

  'agents': {
    '0': 'human',
    '1': 'human'
  },

  'outcome_reward': 1,

  'events': {
    'actions': ['message', 'message', 'message', 'message', 'select', 'select'],
    'agents': [1, 1, 0, 0, 1, 0],
    'data_messages': ['Hello', 'Do you know anyone who works at Molycorp?', 'Hi. All of my friends like the indoors.', 'Ihave two friends that work at Molycorp. They went to Salisbury and Sacred Heart.', '', ''],
    'data_selects': {
      'attributes': [
        [], [], [], [], ['School', 'Company', 'Location Preference'], ['School', 'Company', 'Location Preference']
      ],
      'values': [
        [], [], [], [], ['Salisbury State University', 'Molycorp', 'indoor'], ['Salisbury State University', 'Molycorp', 'indoor']
      ]
    },
    'start_times': [-1.0, -1.0, -1.0, -1.0, -1.0, -1.0],
    'times': [1480737280.0, 1480737280.0, 1480737280.0, 1480737280.0, 1480737280.0, 1480737280.0]
  },
}

Data Fields

  • uuid: example id.
  • scenario_uuid: scenario id.
  • scenario_alphas: scenario alphas.
  • scenario_attributes: all the attributes considered in the scenario. The dictionaries are liniearized: to reconstruct the dictionary of attribute i-th, one should extract the i-th elements of unique, value_type and name.
    • unique: bool.
    • value_type: code/type of the attribute.
    • name: name of the attribute.
  • scenario_kbs: descriptions of the persons present in the two users' databases. List of two (one for each user in the dialogue). scenario_kbs[i] is a list of persons. Each person is represented as two lists (one for attribute names and the other for attribute values). The j-th element of attribute names corresponds to the j-th element of attribute values (linearized dictionary).
  • agents: the two users engaged in the dialogue.
  • outcome_reward: reward of the present dialogue.
  • events: dictionary describing the dialogue. The j-th element of each sub-element of the dictionary describes the turn along the axis of the sub-element.
    • actions: type of turn (either message or select).
    • agents: who is talking? Agent 1 or 0?
    • data_messages: the string exchanged if action==message. Otherwise, empty string.
    • data_selects: selection of the user if action==select. Otherwise, empty selection/dictionary.
    • start_times: always -1 in these data.
    • times: sending time.

Data Splits

There are 8967 dialogues for training, 1083 for validation and 1107 for testing.

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@inproceedings{he-etal-2017-learning,
    title = "Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings",
    author = "He, He  and
      Balakrishnan, Anusha  and
      Eric, Mihail  and
      Liang, Percy",
    booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/P17-1162",
    doi = "10.18653/v1/P17-1162",
    pages = "1766--1776",
    abstract = "We study a \textit{symmetric collaborative dialogue} setting in which two agents, each with private knowledge, must strategically communicate to achieve a common goal. The open-ended dialogue state in this setting poses new challenges for existing dialogue systems. We collected a dataset of 11K human-human dialogues, which exhibits interesting lexical, semantic, and strategic elements. To model both structured knowledge and unstructured language, we propose a neural model with dynamic knowledge graph embeddings that evolve as the dialogue progresses. Automatic and human evaluations show that our model is both more effective at achieving the goal and more human-like than baseline neural and rule-based models.",
}

Contributions

Thanks to @VictorSanh for adding this dataset.

Update on GitHub
Papers with Code