kaipybara/hackping-2025
Text Generation • 3B • Updated
• 4
action dict | intent dict | timestamps sequencelengths 3 35 | dialogue sequencelengths 3 35 | expected_action dict | search_info listlengths 0 297 | correct_sample unknown |
|---|---|---|---|---|---|---|
{
"status": "no_reservation",
"name": "Edward hall",
"flight": []
} | {
"return_month": "Sept",
"return_day": "13",
"max_price": 5000,
"departure_airport": "IAD",
"max_connections": 1,
"departure_day": "11",
"goal": "change",
"departure_month": "Sept",
"name": "Edward Hall",
"return_airport": "ATL"
} | [
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1532340403
] | [
"customer: Hello.",
"agent: Hello. How may I help you?",
"customer: Can you help me to change my recent reservation because my trip dates are got postponed?",
"agent: I will help you with that please share your name to proceed further?",
"customer: Edward hall here.",
"agent: Please wait for a while.",
... | {
"status": "no_reservation",
"name": "Edward Hall",
"flight": []
} | [
{
"button_name": "top-change-reservation",
"field_name": "",
"field_value": "",
"timestmamp": 1532340320889
},
{
"button_name": "",
"field_name": "customer-name",
"field_value": "Edward hall",
"timestmamp": 1532340419156
},
{
"button_name": "",
"field_name": "customer... | true |
{
"status": "book",
"name": "Stephen Evans",
"flight": [
1006
]
} | {
"return_month": "Apr",
"return_day": "5",
"max_price": 1000,
"departure_airport": "HOU",
"max_connections": 1,
"departure_day": "3",
"goal": "book",
"departure_month": "Apr",
"name": "Stephen Evans",
"return_airport": "LAS"
} | [
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1518078759,
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1518078789,
1518078792,
1518078827,
1518078837,
1518078846,
1518078847,
1518078857
] | [
"customer: HI.",
"agent: Hello. How may I be of your address?",
"customer: I want to book a flight ticket to Las Vegas with price under 1000. Can you please help me with it?",
"agent: Sure, can I know your connection limit?",
"customer: I need a single connection.",
"agent: Please let me know your boardin... | {
"status": "book",
"name": "Stephen Evans",
"flight": [
1006,
1017
]
} | [] | true |
{
"status": "book",
"name": "Gary Taylor",
"flight": [
1014
]
} | {
"return_month": "Apr",
"return_day": "5",
"max_price": 1000,
"departure_airport": "ORD",
"max_connections": 1,
"departure_day": "3",
"goal": "book",
"departure_month": "Apr",
"name": "Gary Taylor",
"return_airport": "ATL"
} | [
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1530014906,
1530014919,
1530014984,
1530015036,
1530015045,
1530015059,
1530015074
] | [
"customer: Hello.",
"agent: Hello, do you need any help from us?",
"customer: Can you please help me in reserving my flight from ORD to reach ATL?",
"agent: Sure, could you please share your departure and arrival day?",
"customer: Thank you, my travelling dates are Apr 3rd and Apr 5th.",
"agent: Ok, could... | {
"status": "book",
"name": "Gary Taylor",
"flight": [
1014,
1020,
1021
]
} | [
{
"button_name": "top-book-flight",
"field_name": "",
"field_value": "",
"timestmamp": 1530014855515
},
{
"button_name": "",
"field_name": "departure_day",
"field_value": "04/03",
"timestmamp": 1530014866408
},
{
"button_name": "",
"field_name": "return_day",
"fie... | true |
{
"status": "book",
"name": "Donna Evans",
"flight": [
1018
]
} | {
"return_month": "Feb",
"return_day": "3",
"max_price": 1000,
"departure_airport": "PHL",
"max_connections": 1,
"departure_day": "1",
"goal": "book",
"departure_month": "Feb",
"name": "Donna Evans",
"return_airport": "OAK"
} | [
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1528211870,
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1528211919,
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1528211956,
1528211957,
1528211971
] | [
"customer: Hi. Donna Evans here.",
"agent: Hello, how can I help you today?",
"customer: I would like to prefer a flight with lay-by option for my business trip to Oakland. Can you book a flight ticket?",
"agent: Sure, let me know your travel dates please?",
"customer: The trip dates are from 01 Feb to 03 F... | {
"status": "book",
"name": "Donna Evans",
"flight": [
1018
]
} | [
{
"button_name": "",
"field_name": "customer-name",
"field_value": "Donna Evans",
"timestmamp": 1528211747101
},
{
"button_name": "top-book-flight",
"field_name": "",
"field_value": "",
"timestmamp": 1528211831285
},
{
"button_name": "",
"field_name": "max_connection"... | true |
{
"status": "book",
"name": "Gregory Allen",
"flight": [
1000
]
} | {
"return_month": "Oct",
"return_day": "12",
"max_price": 5000,
"departure_airport": "ORD",
"max_connections": 0,
"departure_day": "10",
"goal": "book",
"departure_month": "Oct",
"name": "Gregory Allen",
"return_airport": "EWR"
} | [
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1519916027
] | [
"customer: Hello.",
"agent: Hello. How can I help you?",
"customer: I am Gregory Allen. I want to attend a live music concert in EWr, can you please find a flight from ORD?",
"agent: Sure, I will help you to book a flight. Can you please share me your travelling dates?",
"customer: I want to start my journe... | {
"status": "no_flight",
"name": "Gregory Allen",
"flight": []
} | [] | false |
{
"status": "book",
"name": "Richard Perez",
"flight": [
1010
]
} | {
"return_month": "May",
"return_day": "17",
"max_price": 1000,
"departure_airport": "LAS",
"max_connections": 1,
"departure_day": "15",
"goal": "book",
"departure_month": "May",
"name": "Richard Perez",
"return_airport": "SFO"
} | [
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1522216410,
1522216415,
1522216444,
1522216446,
1522216455
] | [
"customer: Hello, I am Richard Perez.",
"agent: Hello, how may I be your helping hand?",
"customer: I have an meeting at NV - LAS, with my company CEO. As per my company rules I need to travel only in a connecting flight.",
"agent: Sure, do you have any fare limit?",
"customer: My fare is 1000.",
"agent: ... | {
"status": "book",
"name": "Richard Perez",
"flight": [
1003
]
} | [] | false |
{
"status": "book",
"name": "Kevin Harris",
"flight": [
1026
]
} | {
"return_month": "Aug",
"return_day": "17",
"max_price": 5000,
"departure_airport": "DEN",
"max_connections": -1,
"departure_day": "15",
"goal": "book",
"departure_month": "Aug",
"name": "Kevin Harris",
"return_airport": "PHX"
} | [
1528971632,
1528971639,
1528971661,
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1528971700,
1528971719,
1528971723,
1528971793,
1528971810,
1528971822,
1528971827,
1528971829
] | [
"customer: Hello.",
"agent: Hello, how may I help you?",
"customer: Can you please help me in booking a flight ticket from Denver, DEN to Phoenix, PHX?",
"agent: Sure, help me with the trip dates?",
"customer: My journey dates are from Aug 15 to Aug 17.",
"agent: Do you have any specifications to be met?"... | {
"status": "book",
"name": "Kevin Harris",
"flight": [
1026
]
} | [
{
"button_name": "top-book-flight",
"field_name": "",
"field_value": "",
"timestmamp": 1528971722643
},
{
"button_name": "",
"field_name": "from_city",
"field_value": "DEN",
"timestmamp": 1528971728797
},
{
"button_name": "",
"field_name": "to_city",
"field_value"... | true |
{
"status": "book",
"name": "Emily Green",
"flight": [
1018
]
} | {
"return_month": "June",
"return_day": "20",
"max_price": 200,
"departure_airport": "MSP",
"max_connections": 0,
"departure_day": "18",
"goal": "book",
"departure_month": "June",
"name": "Emily Green",
"return_airport": "BOS"
} | [
1519821958,
1519821963,
1519821980,
1519821983,
1519821998,
1519822000,
1519822007,
1519822008,
1519822015,
1519822020
] | [
"customer: Hello.",
"agent: Hello, how may I guide you?",
"customer: I am Emily Green. I would like to book a ticket from MSP to BOS.",
"agent: Sure, can I know your preferable dates?",
"customer: I am starting on 06/18 and return back on 06/20.",
"agent: I found a flight 1018 of AA airlines matches with ... | {
"status": "book",
"name": "Emily Green",
"flight": [
1006
]
} | [] | false |
{
"status": "no_reservation",
"name": "Ronald Davis",
"flight": []
} | {
"return_month": "June",
"return_day": "24",
"max_price": 1000,
"departure_airport": "BOS",
"max_connections": 1,
"departure_day": "22",
"goal": "cancel",
"departure_month": "June",
"name": "Ronald Davis",
"return_airport": "SEA"
} | [
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1524062762,
1524062765,
1524062778,
1524062790,
1524062798,
1524062810,
1524062811
] | [
"customer: Hi.",
"agent: Hello. How may I guide you today?",
"customer: I want to cancel my reservation which is done recently due to some problems, can you please help me?",
"agent: Sure, I will help you with that.",
"customer: Thank you.",
"agent: May I know your name please?",
"customer: Sure, my nam... | {
"status": "no_reservation",
"name": "Ronald Davis",
"flight": []
} | [] | true |
{
"status": "book",
"name": "Rebecca Moore",
"flight": [
1024
]
} | {
"return_month": "June",
"return_day": "19",
"max_price": 500,
"departure_airport": "OAK",
"max_connections": 1,
"departure_day": "17",
"goal": "book",
"departure_month": "June",
"name": "Rebecca Moore",
"return_airport": "ORD"
} | [
1530202324,
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1530202348,
1530202360,
1530202369,
1530202374,
1530202401,
1530202458,
1530202472,
1530202499,
1530202525,
1530202529,
1530202535,
1530202537
] | [
"customer: Hi.",
"agent: Hello. How may I help you out?",
"customer: I need to book a flight ticket from OAK to ORD, can you help me in booking a flight ticket?",
"agent: Sure, I will help you in booking the ticket. May I know your travelling dates please?",
"customer: Sure, my journey dates are Jun 17 and ... | {
"status": "book",
"name": "Rebecca Moore",
"flight": [
1024,
1028
]
} | [
{
"button_name": "top-book-flight",
"field_name": "",
"field_value": "",
"timestmamp": 1530202384788
},
{
"button_name": "",
"field_name": "from_city",
"field_value": "OAK",
"timestmamp": 1530202388620
},
{
"button_name": "",
"field_name": "to_city",
"field_value"... | true |
{
"status": "book",
"name": "Amy Mitchell",
"flight": [
1017
]
} | {
"return_month": "Jan",
"return_day": "26",
"max_price": 5000,
"departure_airport": "IAH",
"max_connections": 1,
"departure_day": "24",
"goal": "book",
"departure_month": "Jan",
"name": "Amy Mitchell",
"return_airport": "BOS"
} | [
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1523245679,
1523245681,
1523245696,
1523245700
] | [
"customer: Hello.",
"agent: Hello, How can I aid you?",
"customer: I am Amy Mitchell want to travel to MA- BOS to enjoy beach holidays with my cousins.",
"agent: Ok.",
"customer: Can you book a ticket from TX-IAH?",
"agent: Sure, I am here to help you. May I know your travelling dates?",
"customer: My ... | {
"status": "book",
"name": "Amy Mitchell",
"flight": [
1017
]
} | [] | true |
{
"status": "no_reservation",
"name": "Kimberly Johnson",
"flight": []
} | {
"return_month": "Nov",
"return_day": "18",
"max_price": 5000,
"departure_airport": "MSP",
"max_connections": 1,
"departure_day": "16",
"goal": "cancel",
"departure_month": "Nov",
"name": "Kimberly Johnson",
"return_airport": "HOU"
} | [
1528727328,
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1528727356,
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1528727408,
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] | [
"customer: Hello.",
"agent: Hello, how can I help you today?",
"customer: I would like to cancel my recent reservation, can you help me in that?",
"agent: Sure, can I have your name please?",
"customer: Sure, the ticket has been reserved on the name Kimberly Johnson.",
"agent: Ok, please hold on a moment.... | {
"status": "no_reservation",
"name": "Kimberly Johnson",
"flight": []
} | [
{
"button_name": "top-cancel-reservation",
"field_name": "",
"field_value": "",
"timestmamp": 1528727378330
},
{
"button_name": "",
"field_name": "customer-final-action",
"field_value": "no_reservation",
"timestmamp": 1528727380162
},
{
"button_name": "",
"field_name"... | true |
{
"status": "no_flight",
"name": "Ronald Brown",
"flight": []
} | {
"return_month": "Oct",
"return_day": "22",
"max_price": 1000,
"departure_airport": "LGA",
"max_connections": 1,
"departure_day": "20",
"goal": "book",
"departure_month": "Oct",
"name": "Ronald Brown",
"return_airport": "CLT"
} | [
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1526922698,
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] | [
"customer: Hello.",
"agent: Hello, how can I help you today?",
"customer: Can you aid me in booking a flight ticket from LGA to CLT?",
"agent: Sure, may I know your planned trip dates?",
"customer: Sure, I would like to go on Oct 20th and return back on Oct 22nd.",
"agent: Do you have any connection limit... | {
"status": "no_flight",
"name": "Ronald Brown",
"flight": []
} | [
{
"button_name": "top-book-flight",
"field_name": "",
"field_value": "",
"timestmamp": 1526922476437
},
{
"button_name": "",
"field_name": "from_city",
"field_value": "LGA",
"timestmamp": 1526922479757
},
{
"button_name": "",
"field_name": "to_city",
"field_value"... | true |
{
"status": "no_reservation",
"name": "Patrick Miller",
"flight": []
} | {
"return_month": "Sept",
"return_day": "6",
"max_price": 1000,
"departure_airport": "IAH",
"max_connections": 1,
"departure_day": "4",
"goal": "cancel",
"departure_month": "Sept",
"name": "Patrick Miller",
"return_airport": "CLT"
} | [
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1530116393,
1530116405,
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1530116451,
1530116457
] | [
"customer: Hello.",
"agent: Hello, how may I help you?",
"customer: Please help me to cancel my recent reservation.",
"agent: Sure, may I know your name please?",
"customer: Patrick Miller.",
"agent: Ok, please wait.",
"customer: Ok.",
"agent: Sorry to inform you that there is no active reservation fo... | {
"status": "no_reservation",
"name": "Patrick Miller",
"flight": []
} | [
{
"button_name": "top-cancel-reservation",
"field_name": "",
"field_value": "",
"timestmamp": 1530116384438
},
{
"button_name": "",
"field_name": "customer-name",
"field_value": "Patrick Miller",
"timestmamp": 1530116399894
},
{
"button_name": "",
"field_name": "custo... | true |
{
"status": "book",
"name": "Ryan Turner",
"flight": [
1007
]
} | {
"return_month": "June",
"return_day": "5",
"max_price": 200,
"departure_airport": "PHL",
"max_connections": 0,
"departure_day": "3",
"goal": "book",
"departure_month": "June",
"name": "Ryan Turner",
"return_airport": "BOS"
} | [
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1528384599,
1528384633,
1528384638,
1528384640,
1528384642
] | [
"customer: Hello.",
"agent: Hello. How can I help you?",
"customer: I need you to book a flight ticket from PHL to BOS. Please help me.",
"agent: Can I know your travelling dates?",
"customer: June 03 and 05 are my planned travelling dates.",
"agent: Do you have any preference?",
"customer: I wish to de... | {
"status": "book",
"name": "Ryan Turner",
"flight": [
1007
]
} | [
{
"button_name": "top-book-flight",
"field_name": "",
"field_value": "",
"timestmamp": 1528384467891
},
{
"button_name": "",
"field_name": "from_city",
"field_value": "PHL",
"timestmamp": 1528384471443
},
{
"button_name": "",
"field_name": "to_city",
"field_value"... | true |
{
"status": "book",
"name": "Daniel Brown",
"flight": [
1005
]
} | {
"return_month": "May",
"return_day": "7",
"max_price": 500,
"departure_airport": "MSP",
"max_connections": 1,
"departure_day": "5",
"goal": "book",
"departure_month": "May",
"name": "Daniel Brown",
"return_airport": "SFO"
} | [
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1514914742,
1514914756,
1514914765,
1514914776
] | [
"customer: Hello.",
"agent: Hello, how may I aid you?",
"customer: Myself Daniel Brown. I would like to attend seminar, so can you help me booking flight from MSP to SFO?",
"agent: can I know your travel dates?",
"customer: My travel starts from 05/05 to 05/07. Provide flight with connection 1.",
"agent: ... | {
"status": "book",
"name": "Daniel Brown",
"flight": [
1005
]
} | [] | true |
{
"status": "no_flight",
"name": "James Wilson",
"flight": []
} | {
"return_month": "June",
"return_day": "22",
"max_price": 5000,
"departure_airport": "SFO",
"max_connections": 1,
"departure_day": "20",
"goal": "book",
"departure_month": "June",
"name": "James Wilson",
"return_airport": "PHL"
} | [
1523369072,
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1523369081,
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1523369103,
1523369115,
1523369144,
1523369240,
1523369280,
1523369300
] | [
"customer: Hi.",
"agent: Hello.",
"customer: I am James Wilson.",
"agent: How may I help you?",
"customer: Ia m planning to travel from SFO to PHL, can you help me in booking?",
"agent: May I know your travel dates?",
"customer: my travelling dates are 06/20 to 06/22.",
"agent: Sorry, there is no flig... | {
"status": "no_flight",
"name": "James Wilson",
"flight": []
} | [] | true |
{
"status": "no_reservation",
"name": "Ronald Rodrigues",
"flight": []
} | {
"return_month": "Sept",
"return_day": "6",
"max_price": 500,
"departure_airport": "DTW",
"max_connections": 1,
"departure_day": "4",
"goal": "cancel",
"departure_month": "Sept",
"name": "Ronald Rodriguez",
"return_airport": "PHX"
} | [
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1515039748,
1515039759,
1515039800,
1515039808,
1515039812,
1515039822,
1515039828
] | [
"customer: Hi.",
"agent: Hello. What can I do for you now?",
"customer: Due to the sudden demise of my Granny, I am unable to catch a flight.",
"agent: Ok.",
"customer: So I had a request to you to cancel my existing reservation?",
"agent: Sure, I will cancel your reservation. For this I want to know your... | {
"status": "no_reservation",
"name": "Ronald Rodriguez",
"flight": []
} | [] | false |
{
"status": "no_reservation",
"name": "Linda Collins",
"flight": []
} | {
"return_month": "Jan",
"return_day": "22",
"max_price": 1000,
"departure_airport": "CLT",
"max_connections": 1,
"departure_day": "20",
"goal": "change",
"departure_month": "Jan",
"name": "Linda Collins",
"return_airport": "LGA"
} | [
1527159807,
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"customer: Hello. I am William Jones.",
"agent: Hello, how may I help you today?",
"customer: Could you please help em to book a flight from DEN - DCA to meet my cousin?",
"agent: Sure, we are perky to help you. On which dates would you like me to book a flight ticket for you?",
"customer: My travel dates a... | {
"status": "book",
"name": "William Jones",
"flight": [
1014
]
} | [] | true |
{
"status": "no_reservation",
"name": "Ashley Thomas",
"flight": []
} | {
"return_month": "Jan",
"return_day": "31",
"max_price": 1000,
"departure_airport": "SFO",
"max_connections": 1,
"departure_day": "29",
"goal": "cancel",
"departure_month": "Jan",
"name": "Ashley Thomas",
"return_airport": "SEA"
} | [
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] | [
"customer: Hello. Ashley Thomas here.",
"agent: Hello, what can I do for you now?",
"customer: Due to an emergency, I need to cancel my reservation. Can you please help me with it?",
"agent: Sure, I will help you. Wait a minute, I will check and let you know the details.",
"customer: Ok.",
"agent: Thanks ... | {
"status": "no_reservation",
"name": "Ashley Thomas",
"flight": []
} | [] | true |
{
"status": "no_flight",
"name": "Daniel Moore",
"flight": []
} | {
"return_month": "June",
"return_day": "16",
"max_price": 1000,
"departure_airport": "JFK",
"max_connections": 1,
"departure_day": "14",
"goal": "book",
"departure_month": "June",
"name": "Daniel Moore",
"return_airport": "CLT"
} | [
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1519346446
] | [
"customer: Hi. I am Daniel Moore.",
"agent: Hello, how can I help you?",
"customer: I want to attend a political meeting at Charlotte. Can you help me in my reservation?",
"agent: Sure, I will help you.",
"customer: Thank you.",
"agent: Please provide me your travelling dates?",
"customer: I Will start ... | {
"status": "book",
"name": "Daniel Moore",
"flight": [
1021
]
} | [] | false |
{
"status": "book",
"name": "Rachel Wilson",
"flight": [
1006
]
} | {
"return_month": "Feb",
"return_day": "20",
"max_price": 5000,
"departure_airport": "PHL",
"max_connections": 1,
"departure_day": "18",
"goal": "book",
"departure_month": "Feb",
"name": "Rachel Wilson",
"return_airport": "DEN"
} | [
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] | [
"customer: Hello, I am Rachel Wilson.",
"agent: Hello, how can I aid you today?",
"customer: Can you help me with a connection flight to Denver, CO-DEN from PA-PHL?",
"agent: Sure, could you provide me your travel dates?",
"customer: I will start my journey from 02/18 and will be returning on 02/20.",
"ag... | {
"status": "book",
"name": "Rachel Wilson",
"flight": [
1006
]
} | [] | true |
End of preview. Expand
in Data Studio
Dataset Card for air_dialogue
Dataset Summary
AirDialogue, is a large dataset that contains 402,038 goal-oriented conversations. To collect this dataset, we create a contextgenerator which provides travel and flight restrictions. Then the human annotators are asked to play the role of a customer or an agent and interact with the goal of successfully booking a trip given the restrictions.
News in v1.3:
- We have included the test split of the AirDialogue dataset.
- We have included the meta context for OOD2 in the original AirDialogue paper.
Supported Tasks and Leaderboards
We use perplexity and BLEU score to evaluate the quality of the language generated by the model. We also compare the dialogue state generated by the model s and the ground truth state s0. Two categories of the metrics are used: exact match scores and scaled scores
The inference competition & leaderboard can be found here: https://worksheets.codalab.org/worksheets/0xa79833f4b3c24f4188cee7131b120a59
Languages
The text in the dataset is in English. The BCP 47 code is en
Dataset Structure
Data Instances
The data is provided in two set of files. The first one has the dialogues (air_dialogue_data) and the knowledge-base (air_dialogue_kb)
BuilderConfig: air_dialogue_data
{"action": {"status": "book", "name": "Emily Edwards", "flight": [1027]}, "intent": {"return_month": "June", "return_day": "14", "max_price": 200, "departure_airport": "DFW", "return_time": "afternoon", "max_connections": 1, "departure_day": "12", "goal": "book", "departure_month": "June", "name": "Emily Edwards", "return_airport": "IAD"}, "timestamps": [1519233239, 1519233244, 1519233249, 1519233252, 1519233333, 1519233374, 1519233392, 1519233416, 1519233443, 1519233448, 1519233464, 1519233513, 1519233525, 1519233540, 1519233626, 1519233628, 1519233638], "dialogue": ["customer: Hello.", "agent: Hello.", "customer: My name is Emily Edwards.", "agent: How may I help you out?", "customer: I need some help in my flight ticket reservation to attend a convocation meeting, can you please help me?", "agent: Sure, I will help you out. May I know your travelling dates please?", "customer: Thank you and my dates are 06/12 and back on 06/14.", "agent: Can I know your airport codes?", "customer: The airport codes are from DFW to IAD.", "agent: Ok, please wait a moment.", "customer: Sure.", "agent: There is a flight with connection 1 and price 200, can I proceed with this flight?", "customer: Yes, do proceed with booking.", "agent: Ok, your ticket has been booked.", "customer: Thank you for your assistance in my flight ticket reservation.", "agent: Thank you for choosing us.", "customer: You are welcome."], "expected_action": {"status": "book", "name": "Emily Edwards", "flight": [1027]}, "correct_sample": true}
BuilderConfig: air_dialogue_kb
{"kb": [{"return_airport": "DTW", "airline": "Spirit", "departure_day": "12", "departure_airport": "IAD", "flight_number": 1000, "departure_month": "June", "departure_time_num": 17, "class": "economy", "return_time_num": 2, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 200}, {"return_airport": "DTW", "airline": "Frontier", "departure_day": "12", "departure_airport": "IAD", "flight_number": 1001, "departure_month": "June", "departure_time_num": 0, "class": "business", "return_time_num": 15, "return_month": "June", "return_day": "13", "num_connections": 0, "price": 500}, {"return_airport": "DTW", "airline": "JetBlue", "departure_day": "12", "departure_airport": "IAD", "flight_number": 1002, "departure_month": "June", "departure_time_num": 0, "class": "business", "return_time_num": 13, "return_month": "June", "return_day": "13", "num_connections": 1, "price": 600}, {"return_airport": "IAD", "airline": "Hawaiian", "departure_day": "12", "departure_airport": "DTW", "flight_number": 1003, "departure_month": "June", "departure_time_num": 6, "class": "economy", "return_time_num": 5, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 200}, {"return_airport": "DFW", "airline": "AA", "departure_day": "12", "departure_airport": "DTW", "flight_number": 1004, "departure_month": "June", "departure_time_num": 9, "class": "economy", "return_time_num": 11, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 100}, {"return_airport": "IAD", "airline": "AA", "departure_day": "12", "departure_airport": "DFW", "flight_number": 1005, "departure_month": "June", "departure_time_num": 3, "class": "economy", "return_time_num": 17, "return_month": "June", "return_day": "13", "num_connections": 1, "price": 100}, {"return_airport": "DTW", "airline": "Frontier", "departure_day": "12", "departure_airport": "IAD", "flight_number": 1006, "departure_month": "June", "departure_time_num": 10, "class": "economy", "return_time_num": 10, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 100}, {"return_airport": "IAD", "airline": "UA", "departure_day": "12", "departure_airport": "DFW", "flight_number": 1007, "departure_month": "June", "departure_time_num": 14, "class": "economy", "return_time_num": 20, "return_month": "June", "return_day": "13", "num_connections": 1, "price": 100}, {"return_airport": "DFW", "airline": "AA", "departure_day": "13", "departure_airport": "DTW", "flight_number": 1008, "departure_month": "June", "departure_time_num": 6, "class": "economy", "return_time_num": 8, "return_month": "June", "return_day": "14", "num_connections": 2, "price": 400}, {"return_airport": "DFW", "airline": "Delta", "departure_day": "12", "departure_airport": "IAD", "flight_number": 1009, "departure_month": "June", "departure_time_num": 18, "class": "economy", "return_time_num": 6, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 200}, {"return_airport": "DFW", "airline": "Frontier", "departure_day": "13", "departure_airport": "DTW", "flight_number": 1010, "departure_month": "June", "departure_time_num": 4, "class": "economy", "return_time_num": 2, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 100}, {"return_airport": "DFW", "airline": "Southwest", "departure_day": "12", "departure_airport": "DTW", "flight_number": 1011, "departure_month": "June", "departure_time_num": 17, "class": "economy", "return_time_num": 22, "return_month": "June", "return_day": "13", "num_connections": 0, "price": 100}, {"return_airport": "DTW", "airline": "JetBlue", "departure_day": "11", "departure_airport": "DFW", "flight_number": 1012, "departure_month": "June", "departure_time_num": 13, "class": "economy", "return_time_num": 22, "return_month": "June", "return_day": "13", "num_connections": 1, "price": 100}, {"return_airport": "DTW", "airline": "Southwest", "departure_day": "12", "departure_airport": "IAD", "flight_number": 1013, "departure_month": "June", "departure_time_num": 16, "class": "economy", "return_time_num": 13, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 200}, {"return_airport": "DTW", "airline": "Delta", "departure_day": "12", "departure_airport": "IAD", "flight_number": 1014, "departure_month": "June", "departure_time_num": 0, "class": "economy", "return_time_num": 8, "return_month": "June", "return_day": "15", "num_connections": 1, "price": 100}, {"return_airport": "DTW", "airline": "Southwest", "departure_day": "12", "departure_airport": "DFW", "flight_number": 1015, "departure_month": "June", "departure_time_num": 17, "class": "economy", "return_time_num": 1, "return_month": "June", "return_day": "15", "num_connections": 1, "price": 300}, {"return_airport": "DTW", "airline": "UA", "departure_day": "11", "departure_airport": "DFW", "flight_number": 1016, "departure_month": "June", "departure_time_num": 10, "class": "economy", "return_time_num": 4, "return_month": "June", "return_day": "14", "num_connections": 0, "price": 200}, {"return_airport": "DFW", "airline": "AA", "departure_day": "12", "departure_airport": "DTW", "flight_number": 1017, "departure_month": "June", "departure_time_num": 14, "class": "economy", "return_time_num": 23, "return_month": "June", "return_day": "14", "num_connections": 2, "price": 400}, {"return_airport": "DTW", "airline": "JetBlue", "departure_day": "12", "departure_airport": "DFW", "flight_number": 1018, "departure_month": "June", "departure_time_num": 3, "class": "economy", "return_time_num": 1, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 100}, {"return_airport": "DFW", "airline": "Hawaiian", "departure_day": "12", "departure_airport": "IAD", "flight_number": 1019, "departure_month": "June", "departure_time_num": 7, "class": "economy", "return_time_num": 18, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 200}, {"return_airport": "DFW", "airline": "Delta", "departure_day": "12", "departure_airport": "IAD", "flight_number": 1020, "departure_month": "June", "departure_time_num": 6, "class": "economy", "return_time_num": 18, "return_month": "June", "return_day": "14", "num_connections": 2, "price": 200}, {"return_airport": "IAD", "airline": "Delta", "departure_day": "12", "departure_airport": "DFW", "flight_number": 1021, "departure_month": "June", "departure_time_num": 11, "class": "business", "return_time_num": 8, "return_month": "June", "return_day": "14", "num_connections": 0, "price": 1000}, {"return_airport": "IAD", "airline": "JetBlue", "departure_day": "12", "departure_airport": "DTW", "flight_number": 1022, "departure_month": "June", "departure_time_num": 4, "class": "economy", "return_time_num": 14, "return_month": "June", "return_day": "13", "num_connections": 0, "price": 200}, {"return_airport": "IAD", "airline": "Frontier", "departure_day": "12", "departure_airport": "DTW", "flight_number": 1023, "departure_month": "June", "departure_time_num": 19, "class": "economy", "return_time_num": 23, "return_month": "June", "return_day": "13", "num_connections": 1, "price": 200}, {"return_airport": "DFW", "airline": "UA", "departure_day": "12", "departure_airport": "DTW", "flight_number": 1024, "departure_month": "June", "departure_time_num": 11, "class": "economy", "return_time_num": 19, "return_month": "June", "return_day": "15", "num_connections": 1, "price": 200}, {"return_airport": "DTW", "airline": "Hawaiian", "departure_day": "11", "departure_airport": "IAD", "flight_number": 1025, "departure_month": "June", "departure_time_num": 6, "class": "economy", "return_time_num": 10, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 100}, {"return_airport": "DTW", "airline": "UA", "departure_day": "12", "departure_airport": "DFW", "flight_number": 1026, "departure_month": "June", "departure_time_num": 0, "class": "economy", "return_time_num": 18, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 300}, {"return_airport": "IAD", "airline": "Delta", "departure_day": "12", "departure_airport": "DFW", "flight_number": 1027, "departure_month": "June", "departure_time_num": 17, "class": "economy", "return_time_num": 15, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 200}, {"return_airport": "IAD", "airline": "Southwest", "departure_day": "12", "departure_airport": "DTW", "flight_number": 1028, "departure_month": "June", "departure_time_num": 23, "class": "economy", "return_time_num": 13, "return_month": "June", "return_day": "14", "num_connections": 1, "price": 100}, {"return_airport": "DFW", "airline": "Spirit", "departure_day": "11", "departure_airport": "DTW", "flight_number": 1029, "departure_month": "June", "departure_time_num": 22, "class": "business", "return_time_num": 4, "return_month": "June", "return_day": "14", "num_connections": 0, "price": 800}], "reservation": 0}
Data Fields
BuilderConfig: air_dialogue_data:
Provides for customer context, dialogue states and environment
| key name | Description |
|---|---|
| 'search_action' | search action performed by customer |
| 'action' | Action taken by the agent |
| 'intent' | Intents from the conversation |
| 'timestamps' | Timestamp for each of the dialogues |
| 'dialogue' | Dialogue recorded between agent & customer |
| 'expected_action' | Expected action from agent (human-annotated) |
| 'correct_sample' | whether action performed by agent was same as expected_action |
BuilderConfig: air_dialogue_kb:
Provides for the Agent Context ca = (db, r )
| key name | Description |
|---|---|
| 'kb' | Available flights in the database |
| 'reservation' | whether customer has an existing reservation |
Data Splits
Data is split into Train/Dev & Test in the ration of 80%, 10% and 10%
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
To collect this dataset, we create a contextgenerator which provides travel and flight restrictions. We then ask human annotators to play the role of a customer or an agent and interact with the goal of successfully booking a trip given the restrictions. Key to our environment is the ease of evaluating the success of the dialogue, which is achieved by using ground-truth states (e.g., the flight being booked) generated by the restrictions. Any dialogue agent that does not generate the correct states is considered to fail.
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
No personal and sensitive information is stored
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
For issues regarding HuggingFace Dataset Hub implementation Aakash Gupta
Licensing Information
cc-by-nc-4.0
Citation Information
@inproceedings{wei-etal-2018-airdialogue,
title = "{A}ir{D}ialogue: An Environment for Goal-Oriented Dialogue Research",
author = "Wei, Wei and
Le, Quoc and
Dai, Andrew and
Li, Jia",
editor = "Riloff, Ellen and
Chiang, David and
Hockenmaier, Julia and
Tsujii, Jun{'}ichi",
booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
month = oct # "-" # nov,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D18-1419",
doi = "10.18653/v1/D18-1419",
pages = "3844--3854",
abstract = "Recent progress in dialogue generation has inspired a number of studies on dialogue systems that are capable of accomplishing tasks through natural language interactions. A promising direction among these studies is the use of reinforcement learning techniques, such as self-play, for training dialogue agents. However, current datasets are limited in size, and the environment for training agents and evaluating progress is relatively unsophisticated. We present AirDialogue, a large dataset that contains 301,427 goal-oriented conversations. To collect this dataset, we create a context-generator which provides travel and flight restrictions. We then ask human annotators to play the role of a customer or an agent and interact with the goal of successfully booking a trip given the restrictions. Key to our environment is the ease of evaluating the success of the dialogue, which is achieved by using ground-truth states (e.g., the flight being booked) generated by the restrictions. Any dialogue agent that does not generate the correct states is considered to fail. Our experimental results indicate that state-of-the-art dialogue models can only achieve a score of 0.17 while humans can reach a score of 0.91, which suggests significant opportunities for future improvement.",
}
Contributions
Thanks to @skyprince999 for adding this dataset.
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Homepage:
worksheets.codalab.org
Repository:
github.com
Paper:
aclanthology.org
Leaderboard:
worksheets.codalab.org
Point of Contact:
Wei Wei
Size of downloaded dataset files:
200 MB
Size of the auto-converted Parquet files:
200 MB
Number of rows:
723,644
Models trained or fine-tuned on google/air_dialogue