# Datasets:clinc_oos

Languages: English
Multilinguality: monolingual
Size Categories: 10K<n<100K
Language Creators: crowdsourced
Annotations Creators: expert-generated
Source Datasets: original
Dataset Preview
text (string)intent (class label)
"what are the steps for setting up direct deposit for my paycheck"
108 (direct_deposit)
"how is a direct deposit set up"
108 (direct_deposit)
"how would i go about setting up a direct deposit"
108 (direct_deposit)
"tell me how to set up a direct deposit"
108 (direct_deposit)
"how do i arrange a direct deposit into my savings account"
108 (direct_deposit)
"how do i direct deposit my paycheck"
108 (direct_deposit)
"how do i get paychecks put directly in my sunflower savings account"
108 (direct_deposit)
"can you show me how to set up direct deposit for my paycheck to my first hawaiian bank account"
108 (direct_deposit)
"what are the steps to set up direct deposit to my chase account"
108 (direct_deposit)
"i have a great western bank account i want direct deposits to go to"
108 (direct_deposit)
"i would like to set up a direct deposit, please tell me how"
108 (direct_deposit)
"help me set up a direct deposit"
108 (direct_deposit)
"how can i have my paycheck directly deposited"
108 (direct_deposit)
"how to direct deposit my paycheck"
108 (direct_deposit)
"info on direct deposit set-up"
108 (direct_deposit)
"i want my paycheck to go directly to my bank account"
108 (direct_deposit)
"how do i set up direct deposit for my paycheck"
108 (direct_deposit)
"set my paycheck up for direct deposit"
108 (direct_deposit)
"can you teach me how to set up direct deposit, or show me who can"
108 (direct_deposit)
"how do you set up direct deposit"
108 (direct_deposit)
"what is needed for setting up direct deposit"
108 (direct_deposit)
"i want to switch to direct deposit"
108 (direct_deposit)
"can you tell me how to set up a direct deposit"
108 (direct_deposit)
"what is required to direct deposit my paycheck"
108 (direct_deposit)
"how can i set up a direct deposit with my checking account"
108 (direct_deposit)
"can you help me set up a direct depost"
108 (direct_deposit)
"can you walk me through setting up direct deposits to my bank of internet savings account"
108 (direct_deposit)
"how do i direct deposit my check"
108 (direct_deposit)
"how do i go about setting up direct deposit"
108 (direct_deposit)
"i'd like my paychecks direct deposited in my navyfed checking account"
108 (direct_deposit)
"what's needed to direct deposit my paycheck"
108 (direct_deposit)
"direct deposit instructions"
108 (direct_deposit)
"i want to set up direct deposit what do i need to do"
108 (direct_deposit)
"what's the procedure to get direct deposit for my paycheck"
108 (direct_deposit)
"how do i get my check directly deposited"
108 (direct_deposit)
"how do i get direct deposit for my paycheck"
108 (direct_deposit)
"i need to set up a direct deposit for my paycheck"
108 (direct_deposit)
"set up direct deposit to my money market account for my pay check"
108 (direct_deposit)
"help me set up direct deposit to my bank of hawaii checking account"
108 (direct_deposit)
"would you help me set up direct deposit"
108 (direct_deposit)
"help me get my pay check deposited directly to my home checking account"
108 (direct_deposit)
"what are the steps to direct deposit my check"
108 (direct_deposit)
"help setting up direct deposit"
108 (direct_deposit)
"i need to get my paycheck direct deposited to my chase account"
108 (direct_deposit)
"what do i need to do to start direct deposit"
108 (direct_deposit)
"tell me how to set up direct deposit for my paycheck"
108 (direct_deposit)
"can you tell me how to set up direct depost"
108 (direct_deposit)
"what is needed to set up direct deposit"
108 (direct_deposit)
"search google for how to set up direct deposit"
108 (direct_deposit)
"i want to set direct deposit"
108 (direct_deposit)
"if i fly american to los angeles, how many carry ons am i allowed"
62 (carry_on)
"how many carry ons will american let me take for a flight to los vegas"
62 (carry_on)
"if i take a flight on pan am to denver, how many carry ons are included"
62 (carry_on)
"if i fly on virgin to chicago, how many carry ons can i take"
62 (carry_on)
"how my carry ons does spirit airlines allow me for a flight to dallas"
62 (carry_on)
"would you let me know how many carry ons i can take on a flight with southwest airlines to miami"
62 (carry_on)
"i need to know the carry-on restrictions for united airlines"
62 (carry_on)
"tell me the carry-on restrictions for united airlines"
62 (carry_on)
"i need to know how many carry ons i can take on a flight with southwest airlines to houston"
62 (carry_on)
"let me know how many carry ons i can take on a flight with southwest airlines to dallas"
62 (carry_on)
"tell me how many carry ons i can take on a flight with southwest airlines to dallas"
62 (carry_on)
"would you let me know the carry-on restrictions for american airlines"
62 (carry_on)
"i am wanting to know how many carry ons i can take on a flight with southwest airlines to houston"
62 (carry_on)
"could you list out the carry-on restrictions for american airlines"
62 (carry_on)
"i am wanting to know the carry-on restrictions for united airlines"
62 (carry_on)
"what carry-on restrictions does southwest impose"
62 (carry_on)
"carry-on restrictions for air emirates"
62 (carry_on)
"does delta have any carry-on restrictions"
62 (carry_on)
"what's restricted in my carry-on with united"
62 (carry_on)
"what restrictions do my carry-ons need to comply with for delta"
62 (carry_on)
"how much luggage can i carry with me on flight dl2200 to denver"
62 (carry_on)
"am i allowed carry ons for my flight with westjet to edmonton"
62 (carry_on)
"how many carry ons am i allowed to take on my canadair flight to frankfurt"
62 (carry_on)
"is there are limit of carry ons for my flight with aer lingus to cork"
62 (carry_on)
"what are the carry on limits for delta"
62 (carry_on)
"am i limited in carry ons for jet blue"
62 (carry_on)
"what am i allowed to carry on for american airlines"
62 (carry_on)
"does delta have any restrictions for what i can carry on"
62 (carry_on)
"does jet blue have any carry-on restrictions"
62 (carry_on)
"how many carry-on items are allowed per passenger"
62 (carry_on)
"what are the carry-on rules"
62 (carry_on)
"is there a carry-on item weight limit"
62 (carry_on)
"how big can a carry-on bag be"
62 (carry_on)
"does delta have carry-on restrictions"
62 (carry_on)
"do you know the carry-on restrictions for delta"
62 (carry_on)
"delta has too many carry-on restrictions! do you know them"
62 (carry_on)
"are there carry-on restrictions for delta"
62 (carry_on)
"what are the carry on rules for united"
62 (carry_on)
"tell me united's carry on policy"
62 (carry_on)
"what should i know about the carry on policy for american"
62 (carry_on)
"let me know the carry on policy for alaska airlines"
62 (carry_on)
"i want to know the carry on policy for southwest"
62 (carry_on)
"if i fly internationally, do brittish airwaiys have carry-on limitations"
62 (carry_on)
"can i carry on a garment bag, a small travel bag, and a back pack on my trip with american airlines"
62 (carry_on)
"i am flying jetblue and need to know what the most number of bags are that i can carry on"
62 (carry_on)
"what are the carry-on fees with delta for international flights"
62 (carry_on)
"what are the carry-on limits for flying domestically with delta"
62 (carry_on)
"how many carry ons can i take on a flight with jet blue to washington dc"
62 (carry_on)
"how many carry ons can i take on a flight with virgin airlines to vancouver bc"
62 (carry_on)
"how many carry ons can i take on a flight with delta to mexico city"
62 (carry_on)
End of preview (truncated to 100 rows)

# Dataset Card for CLINC150

### Dataset Summary

Task-oriented dialog systems need to know when a query falls outside their range of supported intents, but current text classification corpora only define label sets that cover every example. We introduce a new dataset that includes queries that are out-of-scope (OOS), i.e., queries that do not fall into any of the system's supported intents. This poses a new challenge because models cannot assume that every query at inference time belongs to a system-supported intent class. Our dataset also covers 150 intent classes over 10 domains, capturing the breadth that a production task-oriented agent must handle. It offers a way of more rigorously and realistically benchmarking text classification in task-driven dialog systems.

• intent-classification: This dataset is for evaluating the performance of intent classification systems in the presence of "out-of-scope" queries, i.e., queries that do not fall into any of the system-supported intent classes. The dataset includes both in-scope and out-of-scope data. here.

English

## Dataset Structure

### Data Instances

A sample from the training set is provided below:

{
'text' : 'can you walk me through setting up direct deposits to my bank of internet savings account',
'label' : 108
}


### Data Fields

• text : Textual data
• label : 150 intent classes over 10 domains, the dataset contains one label for 'out-of-scope' intent.

The Label Id to Label Name map is mentioned in the table below:

| Label Id | Label name | |--- |--- | | 0 | restaurant_reviews | | 1 | nutrition_info | | 2 | account_blocked | | 3 | oil_change_how | | 4 | time | | 5 | weather | | 6 | redeem_rewards | | 7 | interest_rate | | 8 | gas_type | | 9 | accept_reservations | | 10 | smart_home | | 11 | user_name | | 12 | report_lost_card | | 13 | repeat | | 14 | whisper_mode | | 15 | what_are_your_hobbies | | 16 | order | | 17 | jump_start | | 18 | schedule_meeting | | 19 | meeting_schedule | | 20 | freeze_account | | 21 | what_song | | 22 | meaning_of_life | | 23 | restaurant_reservation | | 24 | traffic | | 25 | make_call | | 26 | text | | 27 | bill_balance | | 28 | improve_credit_score | | 29 | change_language | | 30 | no | | 31 | measurement_conversion | | 32 | timer | | 33 | flip_coin | | 34 | do_you_have_pets | | 35 | balance | | 36 | tell_joke | | 37 | last_maintenance | | 38 | exchange_rate | | 39 | uber | | 40 | car_rental | | 41 | credit_limit | | 42 | oos | | 43 | shopping_list | | 44 | expiration_date | | 45 | routing | | 46 | meal_suggestion | | 47 | tire_change | | 48 | todo_list | | 49 | card_declined | | 50 | rewards_balance | | 51 | change_accent | | 52 | vaccines | | 53 | reminder_update | | 54 | food_last | | 55 | change_ai_name | | 56 | bill_due | | 57 | who_do_you_work_for | | 58 | share_location | | 59 | international_visa | | 60 | calendar | | 61 | translate | | 62 | carry_on | | 63 | book_flight | | 64 | insurance_change | | 65 | todo_list_update | | 66 | timezone | | 67 | cancel_reservation | | 68 | transactions | | 69 | credit_score | | 70 | report_fraud | | 71 | spending_history | | 72 | directions | | 73 | spelling | | 74 | insurance | | 75 | what_is_your_name | | 76 | reminder | | 77 | where_are_you_from | | 78 | distance | | 79 | payday | | 80 | flight_status | | 81 | find_phone | | 82 | greeting | | 83 | alarm | | 84 | order_status | | 85 | confirm_reservation | | 86 | cook_time | | 87 | damaged_card | | 88 | reset_settings | | 89 | pin_change | | 90 | replacement_card_duration | | 91 | new_card | | 92 | roll_dice | | 93 | income | | 94 | taxes | | 95 | date | | 96 | who_made_you | | 97 | pto_request | | 98 | tire_pressure | | 99 | how_old_are_you | | 100 | rollover_401k | | 101 | pto_request_status | | 102 | how_busy | | 103 | application_status | | 104 | recipe | | 105 | calendar_update | | 106 | play_music | | 107 | yes | | 108 | direct_deposit | | 109 | credit_limit_change | | 110 | gas | | 111 | pay_bill | | 112 | ingredients_list | | 113 | lost_luggage | | 114 | goodbye | | 115 | what_can_i_ask_you | | 116 | book_hotel | | 117 | are_you_a_bot | | 118 | next_song | | 119 | change_speed | | 120 | plug_type | | 121 | maybe | | 122 | w2 | | 123 | oil_change_when | | 124 | thank_you | | 125 | shopping_list_update | | 126 | pto_balance | | 127 | order_checks | | 128 | travel_alert | | 129 | fun_fact | | 130 | sync_device | | 131 | schedule_maintenance | | 132 | apr | | 133 | transfer | | 134 | ingredient_substitution | | 135 | calories | | 136 | current_location | | 137 | international_fees | | 138 | calculator | | 139 | definition | | 140 | next_holiday | | 141 | update_playlist | | 142 | mpg | | 143 | min_payment | | 144 | change_user_name | | 145 | restaurant_suggestion | | 146 | travel_notification | | 147 | cancel | | 148 | pto_used | | 149 | travel_suggestion | | 150 | change_volume |

### Data Splits

The dataset comes in different subsets:

• small : Small, in which there are only 50 training queries per each in-scope intent
• imbalanced : Imbalanced, in which intents have either 25, 50, 75, or 100 training queries.
• plus: OOS+, in which there are 250 out-of-scope training examples, rather than 100.
name train validation test
small 7600 3100 5500
imbalanced 10625 3100 5500
plus 15250 3100 5500

## Considerations for Using the Data

### Citation Information

@inproceedings{larson-etal-2019-evaluation,
title = "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction",
author = "Larson, Stefan  and
Mahendran, Anish  and
Peper, Joseph J.  and
Clarke, Christopher  and
Lee, Andrew  and
Hill, Parker  and
Kummerfeld, Jonathan K.  and
Leach, Kevin  and
Laurenzano, Michael A.  and
Tang, Lingjia  and
Mars, Jason",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
year = "2019",
url = "https://www.aclweb.org/anthology/D19-1131"
}


### Contributions

Thanks to @sumanthd17 for adding this dataset.