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conversationId (string)turnNumber (int64)sentenceNumber (int64)utteranceId (string)utterance (string)slot-labels (string)intent (string)
"31971762-f14e-4d55-b909-0370f6e4db19"
0
0
"<CONV>31971762-f14e-4d55-b909-0370f6e4db19<TURN>0<SENT>0"
"hi good morning"
"O O O"
"openinggreeting"
"31971762-f14e-4d55-b909-0370f6e4db19"
2
0
"<CONV>31971762-f14e-4d55-b909-0370f6e4db19<TURN>2<SENT>0"
"i want to book a ticket in flight"
"O O O O O O O O"
"bookflight"
"31971762-f14e-4d55-b909-0370f6e4db19"
4
0
"<CONV>31971762-f14e-4d55-b909-0370f6e4db19<TURN>4<SENT>0"
"viswa"
"name"
"contentonly"
"31971762-f14e-4d55-b909-0370f6e4db19"
6
0
"<CONV>31971762-f14e-4d55-b909-0370f6e4db19<TURN>6<SENT>0"
"mumbai to chennai"
"departure_city O arrival_city"
"contentonly"
"31971762-f14e-4d55-b909-0370f6e4db19"
8
0
"<CONV>31971762-f14e-4d55-b909-0370f6e4db19<TURN>8<SENT>0"
"92018"
"start_date"
"contentonly"
"31971762-f14e-4d55-b909-0370f6e4db19"
10
0
"<CONV>31971762-f14e-4d55-b909-0370f6e4db19<TURN>10<SENT>0"
"ok sure"
"O O"
"confirmation"
"31971762-f14e-4d55-b909-0370f6e4db19"
12
0
"<CONV>31971762-f14e-4d55-b909-0370f6e4db19<TURN>12<SENT>0"
"3 persons nivika 45 gmailcom"
"number_of_passengers O email_address email_address email_address"
"contentonly"
"31971762-f14e-4d55-b909-0370f6e4db19"
14
0
"<CONV>31971762-f14e-4d55-b909-0370f6e4db19<TURN>14<SENT>0"
"ok thank you"
"O O O"
"thankyou"
"31971762-f14e-4d55-b909-0370f6e4db19"
16
0
"<CONV>31971762-f14e-4d55-b909-0370f6e4db19<TURN>16<SENT>0"
"ok thank you"
"O O O"
"thankyou"
"31971762-f14e-4d55-b909-0370f6e4db19"
18
0
"<CONV>31971762-f14e-4d55-b909-0370f6e4db19<TURN>18<SENT>0"
"ok"
"O"
"bookflight"
"31971762-f14e-4d55-b909-0370f6e4db19"
20
0
"<CONV>31971762-f14e-4d55-b909-0370f6e4db19<TURN>20<SENT>0"
"nothing elser"
"O O"
"rejection"
"c16254a0-f0c3-4c50-b8cd-17936cba59aa"
0
0
"<CONV>c16254a0-f0c3-4c50-b8cd-17936cba59aa<TURN>0<SENT>0"
"hello robin"
"O O"
"openinggreeting"
"c16254a0-f0c3-4c50-b8cd-17936cba59aa"
2
0
"<CONV>c16254a0-f0c3-4c50-b8cd-17936cba59aa<TURN>2<SENT>0"
"i need boarding pass"
"O O O O"
"getboardingpass"
"c16254a0-f0c3-4c50-b8cd-17936cba59aa"
4
0
"<CONV>c16254a0-f0c3-4c50-b8cd-17936cba59aa<TURN>4<SENT>0"
"mohan"
"name"
"contentonly"
"c16254a0-f0c3-4c50-b8cd-17936cba59aa"
6
0
"<CONV>c16254a0-f0c3-4c50-b8cd-17936cba59aa<TURN>6<SENT>0"
"confirmation number moh 523"
"O O booking_confirmation_number booking_confirmation_number"
"contentonly"
"c16254a0-f0c3-4c50-b8cd-17936cba59aa"
8
0
"<CONV>c16254a0-f0c3-4c50-b8cd-17936cba59aa<TURN>8<SENT>0"
"mohan 283 gmailcom"
"email_address email_address email_address"
"contentonly"
"c16254a0-f0c3-4c50-b8cd-17936cba59aa"
10
0
"<CONV>c16254a0-f0c3-4c50-b8cd-17936cba59aa<TURN>10<SENT>0"
"no"
"O"
"rejection"
"8940c040-f4b6-4800-b00f-a48cf8e28fa7"
1
0
"<CONV>8940c040-f4b6-4800-b00f-a48cf8e28fa7<TURN>1<SENT>0"
"i need a boarding pass"
"O O O O O"
"getboardingpass"
"8940c040-f4b6-4800-b00f-a48cf8e28fa7"
3
0
"<CONV>8940c040-f4b6-4800-b00f-a48cf8e28fa7<TURN>3<SENT>0"
"my name is raja"
"O O O name"
"contentonly"
"8940c040-f4b6-4800-b00f-a48cf8e28fa7"
5
0
"<CONV>8940c040-f4b6-4800-b00f-a48cf8e28fa7<TURN>5<SENT>0"
"booking confirmation number hgf 456"
"O O O booking_confirmation_number booking_confirmation_number"
"contentonly"
"8940c040-f4b6-4800-b00f-a48cf8e28fa7"
7
0
"<CONV>8940c040-f4b6-4800-b00f-a48cf8e28fa7<TURN>7<SENT>0"
"raja 143 gmailcom"
"email_address email_address email_address"
"contentonly"
"8940c040-f4b6-4800-b00f-a48cf8e28fa7"
9
0
"<CONV>8940c040-f4b6-4800-b00f-a48cf8e28fa7<TURN>9<SENT>0"
"ok"
"O"
"contentonly"
"5a26408f-f0ca-46c6-9c10-d54b2bdf1995"
0
0
"<CONV>5a26408f-f0ca-46c6-9c10-d54b2bdf1995<TURN>0<SENT>0"
"hai"
"O"
"openinggreeting"
"5a26408f-f0ca-46c6-9c10-d54b2bdf1995"
1
0
"<CONV>5a26408f-f0ca-46c6-9c10-d54b2bdf1995<TURN>1<SENT>0"
"my boarding pass to be sent to my email address or phone number"
"O O O O O O O O O O O O O"
"getboardingpass"
"5a26408f-f0ca-46c6-9c10-d54b2bdf1995"
4
0
"<CONV>5a26408f-f0ca-46c6-9c10-d54b2bdf1995<TURN>4<SENT>0"
"anthony"
"name"
"contentonly"
"5a26408f-f0ca-46c6-9c10-d54b2bdf1995"
6
0
"<CONV>5a26408f-f0ca-46c6-9c10-d54b2bdf1995<TURN>6<SENT>0"
"g 75 f 34"
"booking_confirmation_number booking_confirmation_number booking_confirmation_number booking_confirmation_number"
"contentonly"
"5a26408f-f0ca-46c6-9c10-d54b2bdf1995"
8
0
"<CONV>5a26408f-f0ca-46c6-9c10-d54b2bdf1995<TURN>8<SENT>0"
"anthonymailcom"
"email_address"
"contentonly"
"5a26408f-f0ca-46c6-9c10-d54b2bdf1995"
10
0
"<CONV>5a26408f-f0ca-46c6-9c10-d54b2bdf1995<TURN>10<SENT>0"
"no thanks"
"O O"
"rejection"
"380d5668-f930-44f3-8b88-543f5db48924"
0
0
"<CONV>380d5668-f930-44f3-8b88-543f5db48924<TURN>0<SENT>0"
"hi"
"O"
"openinggreeting"
"380d5668-f930-44f3-8b88-543f5db48924"
2
0
"<CONV>380d5668-f930-44f3-8b88-543f5db48924<TURN>2<SENT>0"
"i went to know my sent no"
"O O O O O O O"
"outofdomain"
"380d5668-f930-44f3-8b88-543f5db48924"
4
0
"<CONV>380d5668-f930-44f3-8b88-543f5db48924<TURN>4<SENT>0"
"my name ramn booking confirmation kyf 176"
"O O name O O booking_confirmation_number booking_confirmation_number"
"contentonly"
"380d5668-f930-44f3-8b88-543f5db48924"
6
0
"<CONV>380d5668-f930-44f3-8b88-543f5db48924<TURN>6<SENT>0"
"ok"
"O"
"contentonly"
"380d5668-f930-44f3-8b88-543f5db48924"
8
0
"<CONV>380d5668-f930-44f3-8b88-543f5db48924<TURN>8<SENT>0"
"no thanks"
"O O"
"rejection"
"3144c574-accc-4d97-9d59-5f73456b8daf"
1
0
"<CONV>3144c574-accc-4d97-9d59-5f73456b8daf<TURN>1<SENT>0"
"hi"
"O"
"openinggreeting"
"3144c574-accc-4d97-9d59-5f73456b8daf"
2
0
"<CONV>3144c574-accc-4d97-9d59-5f73456b8daf<TURN>2<SENT>0"
"i want to book a flight from bangalore to chennai"
"O O O O O O O O O arrival_city"
"bookflight"
"3144c574-accc-4d97-9d59-5f73456b8daf"
4
0
"<CONV>3144c574-accc-4d97-9d59-5f73456b8daf<TURN>4<SENT>0"
"karan bling"
"name name"
"contentonly"
"3144c574-accc-4d97-9d59-5f73456b8daf"
6
0
"<CONV>3144c574-accc-4d97-9d59-5f73456b8daf<TURN>6<SENT>0"
"around 2025 october i am somewhat flexible with the dates"
"O start_date start_date O O O O O O O"
"contentonly"
"3144c574-accc-4d97-9d59-5f73456b8daf"
8
1
"<CONV>3144c574-accc-4d97-9d59-5f73456b8daf<TURN>8<SENT>1"
"i want to book this flight please confirm it"
"O O O O O O O O O"
"bookflight"
"3144c574-accc-4d97-9d59-5f73456b8daf"
10
0
"<CONV>3144c574-accc-4d97-9d59-5f73456b8daf<TURN>10<SENT>0"
"sure my email is karnhghgjcom and only 1 passesnger"
"O O O O email_address O O O O"
"contentonly"
"3144c574-accc-4d97-9d59-5f73456b8daf"
14
1
"<CONV>3144c574-accc-4d97-9d59-5f73456b8daf<TURN>14<SENT>1"
"thats all thank you"
"O O O O"
"thankyou"
"3144c574-accc-4d97-9d59-5f73456b8daf"
15
0
"<CONV>3144c574-accc-4d97-9d59-5f73456b8daf<TURN>15<SENT>0"
"thanks for the free meal"
"O O O O O"
"thankyou"
"3144c574-accc-4d97-9d59-5f73456b8daf"
17
0
"<CONV>3144c574-accc-4d97-9d59-5f73456b8daf<TURN>17<SENT>0"
"okay ill go ahead and do that immediately"
"O O O O O O O O"
"confirmation"
"3144c574-accc-4d97-9d59-5f73456b8daf"
19
0
"<CONV>3144c574-accc-4d97-9d59-5f73456b8daf<TURN>19<SENT>0"
"thats all thank you have a nice day"
"O O O O O O O O"
"thankyou"
"9094b183-2cc2-4cc1-b340-b2b66a694d12"
1
0
"<CONV>9094b183-2cc2-4cc1-b340-b2b66a694d12<TURN>1<SENT>0"
"i want to book a ticket i n flight"
"O O O O O O O O O"
"bookflight"
"9094b183-2cc2-4cc1-b340-b2b66a694d12"
3
0
"<CONV>9094b183-2cc2-4cc1-b340-b2b66a694d12<TURN>3<SENT>0"
"vishnu"
"name"
"contentonly"
"9094b183-2cc2-4cc1-b340-b2b66a694d12"
7
0
"<CONV>9094b183-2cc2-4cc1-b340-b2b66a694d12<TURN>7<SENT>0"
"92018"
"start_date"
"contentonly"
"9094b183-2cc2-4cc1-b340-b2b66a694d12"
9
0
"<CONV>9094b183-2cc2-4cc1-b340-b2b66a694d12<TURN>9<SENT>0"
"2 persons"
"number_of_passengers number_of_passengers"
"contentonly"
"9094b183-2cc2-4cc1-b340-b2b66a694d12"
10
0
"<CONV>9094b183-2cc2-4cc1-b340-b2b66a694d12<TURN>10<SENT>0"
"vishnugmailcom"
"email_address"
"contentonly"
"9094b183-2cc2-4cc1-b340-b2b66a694d12"
12
0
"<CONV>9094b183-2cc2-4cc1-b340-b2b66a694d12<TURN>12<SENT>0"
"ok i wait for your information"
"O O O O O O"
"confirmation"
"9094b183-2cc2-4cc1-b340-b2b66a694d12"
14
0
"<CONV>9094b183-2cc2-4cc1-b340-b2b66a694d12<TURN>14<SENT>0"
"ok thank you"
"O O O"
"thankyou"
"9094b183-2cc2-4cc1-b340-b2b66a694d12"
16
0
"<CONV>9094b183-2cc2-4cc1-b340-b2b66a694d12<TURN>16<SENT>0"
"ok"
"O"
"bookflight"
"9094b183-2cc2-4cc1-b340-b2b66a694d12"
18
0
"<CONV>9094b183-2cc2-4cc1-b340-b2b66a694d12<TURN>18<SENT>0"
"nothing else"
"O O"
"rejection"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
0
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>0<SENT>0"
"hai"
"O"
"openinggreeting"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
2
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>2<SENT>0"
"i want to book for plane ticket"
"O O O O O O O"
"bookflight"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
4
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>4<SENT>0"
"jesse"
"name"
"contentonly"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
6
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>6<SENT>0"
"taxes to california"
"O O arrival_city"
"contentonly"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
8
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>8<SENT>0"
"yes"
"O"
"confirmation"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
10
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>10<SENT>0"
"ok thanks"
"O O"
"thankyou"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
12
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>12<SENT>0"
"ok"
"O"
"bookflight"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
14
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>14<SENT>0"
"jesseikagmaicom"
"email_address"
"contentonly"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
15
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>15<SENT>0"
"5 passengers travel"
"number_of_passengers O O"
"contentonly"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
17
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>17<SENT>0"
"ok"
"O"
"bookflight"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
19
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>19<SENT>0"
"ok"
"O"
"bookflight"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
21
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>21<SENT>0"
"ok thanks"
"O O"
"thankyou"
"15540a21-bad9-4c82-a4f9-2a07194e2574"
23
0
"<CONV>15540a21-bad9-4c82-a4f9-2a07194e2574<TURN>23<SENT>0"
"no thanks"
"O O"
"rejection"
"c5a4b7c6-848b-4875-a59b-1b9e5948892a"
0
0
"<CONV>c5a4b7c6-848b-4875-a59b-1b9e5948892a<TURN>0<SENT>0"
"hai"
"O"
"openinggreeting"
"c5a4b7c6-848b-4875-a59b-1b9e5948892a"
4
0
"<CONV>c5a4b7c6-848b-4875-a59b-1b9e5948892a<TURN>4<SENT>0"
"my full names is ravi and my booking confirmation number is bbu 120"
"O O O O name O O O O O O booking_confirmation_number booking_confirmation_number"
"contentonly"
"c5a4b7c6-848b-4875-a59b-1b9e5948892a"
6
0
"<CONV>c5a4b7c6-848b-4875-a59b-1b9e5948892a<TURN>6<SENT>0"
"okay thanks"
"O O"
"confirmation"
"c5a4b7c6-848b-4875-a59b-1b9e5948892a"
8
0
"<CONV>c5a4b7c6-848b-4875-a59b-1b9e5948892a<TURN>8<SENT>0"
"no thanks thank your information"
"O O O O O"
"rejection"
"c5a4b7c6-848b-4875-a59b-1b9e5948892a"
10
0
"<CONV>c5a4b7c6-848b-4875-a59b-1b9e5948892a<TURN>10<SENT>0"
"okay thank you"
"O O O"
"thankyou"
"64deb3c2-5533-4197-993d-2393a438ead1"
0
0
"<CONV>64deb3c2-5533-4197-993d-2393a438ead1<TURN>0<SENT>0"
"hi"
"O"
"openinggreeting"
"64deb3c2-5533-4197-993d-2393a438ead1"
2
0
"<CONV>64deb3c2-5533-4197-993d-2393a438ead1<TURN>2<SENT>0"
"i want to know seat no"
"O O O O O O"
"getseatinfo"
"64deb3c2-5533-4197-993d-2393a438ead1"
4
0
"<CONV>64deb3c2-5533-4197-993d-2393a438ead1<TURN>4<SENT>0"
"my name ben"
"O O name"
"contentonly"
"64deb3c2-5533-4197-993d-2393a438ead1"
5
0
"<CONV>64deb3c2-5533-4197-993d-2393a438ead1<TURN>5<SENT>0"
"my booking confirmation number is rtd 245"
"O O O O O booking_confirmation_number booking_confirmation_number"
"contentonly"
"64deb3c2-5533-4197-993d-2393a438ead1"
7
0
"<CONV>64deb3c2-5533-4197-993d-2393a438ead1<TURN>7<SENT>0"
"ok thanks"
"O O"
"thankyou"
"64deb3c2-5533-4197-993d-2393a438ead1"
9
0
"<CONV>64deb3c2-5533-4197-993d-2393a438ead1<TURN>9<SENT>0"
"no thanks"
"O O"
"rejection"
"64deb3c2-5533-4197-993d-2393a438ead1"
11
0
"<CONV>64deb3c2-5533-4197-993d-2393a438ead1<TURN>11<SENT>0"
"bye"
"O"
"closinggreeting"
"91203128-851b-45d2-961c-62b80e181422"
0
0
"<CONV>91203128-851b-45d2-961c-62b80e181422<TURN>0<SENT>0"
"hi"
"O"
"openinggreeting"
"91203128-851b-45d2-961c-62b80e181422"
2
0
"<CONV>91203128-851b-45d2-961c-62b80e181422<TURN>2<SENT>0"
"i need boarding pass"
"O O O O"
"getboardingpass"
"91203128-851b-45d2-961c-62b80e181422"
4
0
"<CONV>91203128-851b-45d2-961c-62b80e181422<TURN>4<SENT>0"
"rajapandi"
"name"
"contentonly"
"91203128-851b-45d2-961c-62b80e181422"
6
0
"<CONV>91203128-851b-45d2-961c-62b80e181422<TURN>6<SENT>0"
"my confirmation number is yrt 632"
"O O O O booking_confirmation_number booking_confirmation_number"
"contentonly"
"91203128-851b-45d2-961c-62b80e181422"
8
0
"<CONV>91203128-851b-45d2-961c-62b80e181422<TURN>8<SENT>0"
"8975623456"
"phone_number"
"contentonly"
"91203128-851b-45d2-961c-62b80e181422"
10
0
"<CONV>91203128-851b-45d2-961c-62b80e181422<TURN>10<SENT>0"
"ok thanks"
"O O"
"confirmation"
"91203128-851b-45d2-961c-62b80e181422"
12
0
"<CONV>91203128-851b-45d2-961c-62b80e181422<TURN>12<SENT>0"
"no thanks"
"O O"
"rejection"
"45117edb-d257-4fa8-a7ae-d6f570c87868"
1
0
"<CONV>45117edb-d257-4fa8-a7ae-d6f570c87868<TURN>1<SENT>0"
"hi"
"O"
"openinggreeting"
"45117edb-d257-4fa8-a7ae-d6f570c87868"
2
0
"<CONV>45117edb-d257-4fa8-a7ae-d6f570c87868<TURN>2<SENT>0"
"i want to know about my seat assignment"
"O O O O O O O O"
"getseatinfo"
"45117edb-d257-4fa8-a7ae-d6f570c87868"
4
0
"<CONV>45117edb-d257-4fa8-a7ae-d6f570c87868<TURN>4<SENT>0"
"raj sri"
"name name"
"contentonly"
"45117edb-d257-4fa8-a7ae-d6f570c87868"
6
0
"<CONV>45117edb-d257-4fa8-a7ae-d6f570c87868<TURN>6<SENT>0"
"fhg 145"
"booking_confirmation_number booking_confirmation_number"
"contentonly"
"45117edb-d257-4fa8-a7ae-d6f570c87868"
8
0
"<CONV>45117edb-d257-4fa8-a7ae-d6f570c87868<TURN>8<SENT>0"
"ya sure"
"O O"
"confirmation"
"45117edb-d257-4fa8-a7ae-d6f570c87868"
10
0
"<CONV>45117edb-d257-4fa8-a7ae-d6f570c87868<TURN>10<SENT>0"
"nothing else"
"O O"
"rejection"
"45117edb-d257-4fa8-a7ae-d6f570c87868"
10
1
"<CONV>45117edb-d257-4fa8-a7ae-d6f570c87868<TURN>10<SENT>1"
"thank you"
"O O"
"thankyou"
"4b73ae04-c3d6-4b78-8520-9e428eabd04d"
0
0
"<CONV>4b73ae04-c3d6-4b78-8520-9e428eabd04d<TURN>0<SENT>0"
"hi good morning"
"O O O"
"openinggreeting"
"4b73ae04-c3d6-4b78-8520-9e428eabd04d"
2
0
"<CONV>4b73ae04-c3d6-4b78-8520-9e428eabd04d<TURN>2<SENT>0"
"i wants to book a ticket but i change my seat"
"O O O O O O O O O O O"
"bookflight"
"4b73ae04-c3d6-4b78-8520-9e428eabd04d"
5
0
"<CONV>4b73ae04-c3d6-4b78-8520-9e428eabd04d<TURN>5<SENT>0"
"nila emailnila 90 mailcom"
"email_address O email_address email_address"
"contentonly"
"4b73ae04-c3d6-4b78-8520-9e428eabd04d"
6
0
"<CONV>4b73ae04-c3d6-4b78-8520-9e428eabd04d<TURN>6<SENT>0"
"i need to book a flight"
"O O O O O O"
"bookflight"
"4b73ae04-c3d6-4b78-8520-9e428eabd04d"
8
0
"<CONV>4b73ae04-c3d6-4b78-8520-9e428eabd04d<TURN>8<SENT>0"
"delhi to mumbai"
"departure_city O arrival_city"
"contentonly"
"4b73ae04-c3d6-4b78-8520-9e428eabd04d"
10
0
"<CONV>4b73ae04-c3d6-4b78-8520-9e428eabd04d<TURN>10<SENT>0"
"2392018"
"start_date"
"contentonly"
"4b73ae04-c3d6-4b78-8520-9e428eabd04d"
12
0
"<CONV>4b73ae04-c3d6-4b78-8520-9e428eabd04d<TURN>12<SENT>0"
"ok"
"O"
"bookflight"
"4b73ae04-c3d6-4b78-8520-9e428eabd04d"
14
0
"<CONV>4b73ae04-c3d6-4b78-8520-9e428eabd04d<TURN>14<SENT>0"
"2"
"number_of_passengers"
"contentonly"
"4b73ae04-c3d6-4b78-8520-9e428eabd04d"
16
0
"<CONV>4b73ae04-c3d6-4b78-8520-9e428eabd04d<TURN>16<SENT>0"
"nila 90 mailcom"
"email_address email_address email_address"
"contentonly"
End of preview (truncated to 100 rows)
YAML Metadata Warning: The task_categories "sequence-modeling" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, conversational, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, other
YAML Metadata Warning: The task_categories "structure-prediction" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, conversational, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, other
YAML Metadata Warning: The task_ids "other-other-my-task-description" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-generation, dialogue-modeling, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering

MultiDoGo dialog dataset:

Abstract The need for high-quality, large-scale, goal-oriented dialogue datasets continues to grow as virtual assistants become increasingly wide-spread. However, publicly available datasets useful for this area are limited either in their size, linguistic diversity, domain coverage, or annotation granularity. In this paper, we present strategies toward curating and annotating large scale goal oriented dialogue data. We introduce the MultiDoGO dataset to overcome these limitations. With a total of over 81K dialogues harvested across six domains, MultiDoGO is over 8 times the size of MultiWOZ, the other largest comparable dialogue dataset currently available to the public. Over 54K of these harvested conversations are annotated for intent classes and slot labels. We adopt a Wizard-of-Oz approach wherein a crowd-sourced worker (the “customer”) is paired with a trained annotator (the “agent”). The data curation process was controlled via biases to ensure a diversity in dialogue flows following variable dialogue policies. We provide distinct class label tags for agents vs. customer utterances, along with applicable slot labels. We also compare and contrast our strategies on annotation granularity, i.e. turn vs. sentence level. Furthermore, we compare and contrast annotations curated by leveraging professional annotators vs the crowd. We believe our strategies for eliciting and annotating such a dialogue dataset scales across modalities and domains and potentially languages in the future. To demonstrate the efficacy of our devised strategies we establish neural baselines for classification on the agent and customer utterances as well as slot labeling for each domain.

Licensing information

Community Data License Agreement – Permissive, Version 1.0.

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