├── README.rst ├── LICENSE └── BETOLD_description.md /README.rst: -------------------------------------------------------------------------------- 1 | ================================================================================ 2 | Data of the paper "BETOLD: A Task-Oriented Dialog Dataset for Dialog Breakdown" 3 | ================================================================================ 4 | 5 | .. image:: https://img.shields.io/github/license/telepathylabsai/BETOLD_dataset 6 | :alt: GitHub 7 | 8 | **BETOLD** (Breakdown Expectation for Task-Oriented Long Dialogs) is a 9 | task-oriented dialog dataset, derived from real conversations between system 10 | and user in order to fulfill the task of booking an appointment. 11 | The aim of the dataset is to predict **LUFHs**, i.e. **user-initiated (U) forward calls (F) 12 | and hang-ups (H) that happen in a late (L) point of the conversation**. 13 | This dataset is characterized by NLG and NLU intents and entities. 14 | It does not provide textual utterances. 15 | 16 | This work has been accepted at the COLING 2022's 17 | workshop "When creative AI meets conversational AI". `Click here to read the paper `_! 18 | 19 | 20 | ****************** 21 | Dataset 22 | ****************** 23 | 24 | Dataset Features 25 | ================== 26 | 27 | All dialogs include: 28 | 29 | * LUHF: binary label 'luhf' or 'not_luhf'. 30 | * utterances_annotations: contains all NLU and NLG intents and entities. 31 | 32 | * caller_name: indicates if it is a NLU (i.e a user input) or NLG (i.e a system input). 33 | * intent: the purpose which the speaker wants to achieve. 34 | * entities: slots extracted from NLU and NLG giving context to the conversation. 35 | 36 | 37 | Structure 38 | ================== 39 | 40 | The dataset is structured in the following way: 41 | 42 | .. code-block:: bash 43 | 44 | [ 45 | { 46 | "LUHF": "luhf", # binary label 'luhf' or 'not_luhf' 47 | "utterances_annotations": [ # list of interactions between system and human 48 | { 49 | "caller_name": "nlg", 50 | "intent": "intro_assistant_1", 51 | "entities": [ 52 | { 53 | "entity": "recording_warning" 54 | } 55 | ] 56 | }, 57 | { 58 | "caller_name": "nlg", 59 | "intent": "intro_assistant_2", 60 | "entities": [ 61 | ] 62 | }, 63 | { 64 | "caller_name": "nlu", 65 | "intent": "schedule", 66 | "entities": [ 67 | ] 68 | }, 69 | # ... 70 | ] 71 | }, 72 | # ... 73 | ] 74 | 75 | 76 | See the file `BETOLD_description.md `_ 77 | and the `paper `_ for more details on the creation of the dataset and on the features. 78 | 79 | 80 | 81 | ****************** 82 | Models 83 | ****************** 84 | See this repository for the models' implementation: https://github.com/telepathylabsai/dialog_breakdown_detection 85 | 86 | 87 | ****************** 88 | Team 89 | ****************** 90 | 91 | - Silvia Terragni 92 | - Bruna Guedes 93 | - Andre Manso 94 | - Modestas Filipavicius 95 | - Nghia Khau 96 | - Roland Mathis 97 | 98 | 99 | *********************** 100 | How to cite this work 101 | *********************** 102 | This work has been accepted at the COLING 2022's workshop `When creative AI meets conversational AI `_. 103 | If you decide to use this resource, please cite: 104 | 105 | :: 106 | 107 | @inproceedings{terragni2022_betold, 108 | title = "{BETOLD}: A Task-Oriented Dialog Dataset for Breakdown Detection", 109 | author = "Terragni, Silvia and 110 | Guedes, Bruna and 111 | Manso, Andre and 112 | Filipavicius, Modestas and 113 | Khau, Nghia and 114 | Mathis, Roland", 115 | booktitle = "Proceedings of the Second Workshop on When Creative AI Meets Conversational AI", 116 | month = oct, 117 | year = "2022", 118 | address = "Gyeongju, Republic of Korea", 119 | publisher = "Association for Computational Linguistics", 120 | url = "https://aclanthology.org/2022.cai-1.4", 121 | pages = "23--34", 122 | } 123 | 124 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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The aim of the dataset is to predict 12 | user-initiated (U) forward calls (F) and hang-ups (H) that happen in a late 13 | (L) point of the conversation. Therefore all conversations are labeled either 14 | as LUHF or non-LUHF. 15 | 16 | ### Numbers 17 | This dataset contains 13,524 conversations, with a ratio of successful 18 | calls/LUHFs of 2:1. 19 | The resulting dataset contains 4,508 LUHFs and 9,016 non-LUHFs. 20 | 21 | - min number of turns per dialog: 8 22 | - mean number of turns per dialog: 10.42 23 | - median number of turns per dialog: 10.0 24 | - max number of turns per dialog: 34 25 | 26 | ### Dataset Features 27 | All dialogs include: 28 | - LUHF: binary label 'luhf' or 'not_luhf'. 29 | - utterances_annotations: contains all NLU and NLG intents and entities. 30 | - caller_name: indicates if it is a NLU (i.e a user input) or NLG (i.e a system input). 31 | - intent: the purpose which the speaker wants to achieve. 32 | - entities: slots extracted from NLU and NLG giving context to the conversation. 33 | 34 | ### Structure 35 | The dataset is structured in the following way: 36 | 37 | ```bash 38 | [ 39 | { 40 | "LUHF": "luhf", # binary label 'luhf' or 'not_luhf' 41 | "utterances_annotations": [ # list of interactions between system and human 42 | { 43 | "caller_name": "nlg", 44 | "intent": "intro_assistant_1", 45 | "entities": [ 46 | { 47 | "entity": "recording_warning" 48 | } 49 | ] 50 | }, 51 | { 52 | "caller_name": "nlg", 53 | "intent": "intro_assistant_2", 54 | "entities": [ 55 | ] 56 | }, 57 | { 58 | "caller_name": "nlu", 59 | "intent": "schedule", 60 | "entities": [ 61 | ] 62 | }, 63 | # ... 64 | ] 65 | }, 66 | # ... 67 | ] 68 | ``` 69 | 70 | ### List of possible entities 71 | 72 | | Type | Entity | Description 73 | | :--- | :--- | :--- 74 | |NLG | alternative_date_proposal | date of alternative time for appointment | 75 | |NLG | ask_means_of_transportation | means of transportation proposed | 76 | |NLG | ask_to_schedule | confirmation of next steps of scheduling appointment | 77 | |NLG | available_slot_to_schedule | time of slot available for scheduling appointment | 78 | |NLG | closing_hours | closing hours of given store | 79 | |NLG | date_proposal | date proposed | 80 | |NLG | device_make | brand of cellphone | 81 | |NLG | device_model | model of cellphone | 82 | |NLG | device_year | year of fabrication of cellphone | 83 | |NLG | exception_days | days with different working hours | 84 | |NLG | location_store | address of a given store | 85 | |NLG | mention_means_of_transportation | means of transportation chosen | 86 | |NLG | no_slots_available | no options of slots for scheduling appointment are available | 87 | |NLG | opening_days | opening days of week | 88 | |NLG | opening_hours | opening hours | 89 | |NLG | recording_warning | warning this message might be recorded | 90 | |NLG | schedule_time | specific time indication for scheduling appointment | 91 | |NLG | services_closing_hours | closing hours of given service | 92 | |NLG | transportation_type_selection | transportation type selected | 93 | |NLG | unavailable_transportation_type | transportation type is not supported | 94 | |NLG | user_phone_suffix | suffix of user's phone number | 95 | |NLG | user_request_start_time | starting time for scheduling appointment | 96 | |NLU | brand_device | specific brand of cellphone | 97 | |NLU | client_name | name of user | 98 | |NLU | language | language preference specification | 99 | |NLU | model_device | speficific model of cellphone | 100 | |NLU | numeric | numbers, that might be for instance the percentage of battery health | 101 | |NLU | phone_number | phone number | 102 | |NLU | sector | specific department of company | 103 | |NLU | time_indication | specific time indication | 104 | |NLU | time_range_indication | range of time preferred | 105 | |NLU | transportation_type | type of transportation of cellphone, can be pick up, dropoff or waiting for service | 106 | |NLU | type_of_repair | type of repair service required | 107 | |NLU | year | year | 108 | 109 | 110 | 111 | ### List of possible intents 112 | 113 | | Type | Intent | Description 114 | | :--- | :--- | :--- 115 | |NLG | ask_additional_service | ask if other services were required | 116 | |NLG | ask_corrected_date | confirm if date should be corrected | 117 | |NLG | ask_desired_service | ask to specify service of cellphone | 118 | |NLG | ask_device_brand | ask to specify brand of cellphone | 119 | |NLG | ask_device_brand_model | ask to specify brand and model of cellphone | 120 | |NLG | ask_device_brand_model_year | ask to specify brand, model and year of cellphone | 121 | |NLG | ask_device_model | ask to specify model of cellphone | 122 | |NLG | ask_device_year | ask to specify year of cellphone | 123 | |NLG | ask_device_year_brand | ask to specify year and brand of cellphone | 124 | |NLG | ask_device_year_model | ask to specify year and model of cellphone | 125 | |NLG | ask_first_name | ask user's first name | 126 | |NLG | ask_for_battery_health | ask battery health from cellphone | 127 | |NLG | ask_if_current_client | ask if user is a current client | 128 | |NLG | ask_last_name | ask user's last name | 129 | |NLG | ask_phone_number | ask user's phone number | 130 | |NLG | ask_time_preference | ask user if there is a time preference | 131 | |NLG | asked_date_too_far | tell user date chosen is too far in the future | 132 | |NLG | confirm_cancel_schedule_new | confirm cancelation of appointment and ask new date | 133 | |NLG | confirm_canceled_appointment | confirm appointment was successfully canceled | 134 | |NLG | confirm_change_schedule | confirm change in date of appointment | 135 | |NLG | confirm_date_scheduled | confirm date of appointment | 136 | |NLG | confirm_phone_number | confirm user's phone number | 137 | |NLG | date_schedule_no_longer_exists | date proposed is no longer available | 138 | |NLG | did_not_understand | system does not understand user | 139 | |NLG | disambiguate_user_profile | disambiguate profile in case of multiple profiles linked to one phone number | 140 | |NLG | fail_retrieve_user_info | unable to find user's profile | 141 | |NLG | failed_schedule_warning | system failure to schedule an appointment | 142 | |NLG | faq_close_time | inform closing hours | 143 | |NLG | faq_open_time | inform opening hours | 144 | |NLG | faq_operating_hours | inform range of day in which service is open | 145 | |NLG | further_requests | ask if there are any further requests | 146 | |NLG | inform_schedule_inspection | system is finding possible slots for appointments | 147 | |NLG | intro_assistant_1 | introductory message presentation | 148 | |NLG | intro_assistant_2 | give options of possible services | 149 | |NLG | new_user_profile_brand_model_year | create profile for new user | 150 | |NLG | no_dates_available | no dates available for making appointments | 151 | |NLG | no_dates_available_try_new_transportation_type | no dates available for making appointments with this transportation type | 152 | |NLG | no_more_schedule_appointments | do not recognize the given date as an existing appointment | 153 | |NLG | no_pre_existing_schedule | no appointments pre-scheduled. | 154 | |NLG | offer_to_schedule | ask if user wants to schedule an appointment | 155 | |NLG | operating_hour_and_ask_for_schedule | specify possible ranges of time to schedule appointment | 156 | |NLG | propose_date | propose date for appointment | 157 | |NLG | propose_earliest_time | propose earliest possible time for scheduling appointment | 158 | |NLG | propose_other_transportation_of_device | propose other type of transportation such as waiting for the service or leaving phone | 159 | |NLG | reconfirm_date_scheduled | reconfirm time of appointment scheduled | 160 | |NLG | retrieve_user_information | ask phone number to find user profile | 161 | |NLG | schedule_or_cancel | ask again type of service required | 162 | |NLG | silence | wait in silence | 163 | |NLG | time_asked_unavailable_propose_new | proposed date is unavailable, propose a new option | 164 | |NLG | transportation_of_device | ask if user will wait suring service, dropoff phone or request pick up service | 165 | |NLG | transportation_type_unavailable | transportation type such as waiting for the service of leaving phone is not available | 166 | |NLG | working_on_previous_request | still processing previous request | 167 | |NLU | ask_for_transportation_types | ask possible options of transportation of cellphone to be serviced | 168 | |NLU | cancel | cancel existing appointment | 169 | |NLU | confirm | agree | 170 | |NLU | inconclusive | uncertainty in statement | 171 | |NLU | inform | inform | 172 | |NLU | negate | disagree | 173 | |NLU | noise | noise in user's side of conversation | 174 | |NLU | other | other cases | 175 | |NLU | rephrase | ask to repeat question | 176 | |NLU | reschedule | ask to reschedule appointment | 177 | |NLU | salutation | greeting | 178 | |NLU | schedule | ask to schedule an appointment | 179 | |NLU | transfer_agent | ask to trasnfer to a human agent | 180 | |NLU | unregistered_user | user is not yet registered in the database | 181 | |NLU | urgency | indicate it is an urgent situation | 182 | |NLU | user_initial_request | indication of goal of the call | 183 | |NLU | user_proposed_date | propose a specific date for appointment | 184 | 185 | 186 | ### Collection Methodology 187 | This dataset was extracted from real conversations between June 11 and August 29 of 2022. 188 | --------------------------------------------------------------------------------