Datasets:
Tasks:
Text Classification
Sub-tasks:
intent-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
crowdsourced
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - crowdsourced | |
| language: | |
| - en | |
| license: | |
| - cc-by-3.0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - intent-classification | |
| paperswithcode_id: clinc150 | |
| pretty_name: CLINC150 | |
| dataset_info: | |
| - config_name: imbalanced | |
| features: | |
| - name: text | |
| dtype: string | |
| - name: intent | |
| dtype: | |
| class_label: | |
| names: | |
| '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 | |
| splits: | |
| - name: train | |
| num_bytes: 546901 | |
| num_examples: 10625 | |
| - name: validation | |
| num_bytes: 160298 | |
| num_examples: 3100 | |
| - name: test | |
| num_bytes: 286966 | |
| num_examples: 5500 | |
| download_size: 441918 | |
| dataset_size: 994165 | |
| - config_name: plus | |
| features: | |
| - name: text | |
| dtype: string | |
| - name: intent | |
| dtype: | |
| class_label: | |
| names: | |
| '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 | |
| splits: | |
| - name: train | |
| num_bytes: 791247 | |
| num_examples: 15250 | |
| - name: validation | |
| num_bytes: 160298 | |
| num_examples: 3100 | |
| - name: test | |
| num_bytes: 286966 | |
| num_examples: 5500 | |
| download_size: 525729 | |
| dataset_size: 1238511 | |
| - config_name: small | |
| features: | |
| - name: text | |
| dtype: string | |
| - name: intent | |
| dtype: | |
| class_label: | |
| names: | |
| '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 | |
| splits: | |
| - name: train | |
| num_bytes: 394124 | |
| num_examples: 7600 | |
| - name: validation | |
| num_bytes: 160298 | |
| num_examples: 3100 | |
| - name: test | |
| num_bytes: 286966 | |
| num_examples: 5500 | |
| download_size: 385185 | |
| dataset_size: 841388 | |
| configs: | |
| - config_name: imbalanced | |
| data_files: | |
| - split: train | |
| path: imbalanced/train-* | |
| - split: validation | |
| path: imbalanced/validation-* | |
| - split: test | |
| path: imbalanced/test-* | |
| - config_name: plus | |
| data_files: | |
| - split: train | |
| path: plus/train-* | |
| - split: validation | |
| path: plus/validation-* | |
| - split: test | |
| path: plus/test-* | |
| - config_name: small | |
| data_files: | |
| - split: train | |
| path: small/train-* | |
| - split: validation | |
| path: small/validation-* | |
| - split: test | |
| path: small/test-* | |
| # Dataset Card for CLINC150 | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage:** [Github](https://github.com/clinc/oos-eval/) | |
| - **Repository:** [Github](https://github.com/clinc/oos-eval/) | |
| - **Paper:** [Aclweb](https://www.aclweb.org/anthology/D19-1131) | |
| - **Leaderboard:** [PapersWithCode](https://paperswithcode.com/sota/text-classification-on-clinc-oos) | |
| - **Point of Contact:** | |
| ### 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. | |
| ### Supported Tasks and Leaderboards | |
| - `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](https://paperswithcode.com/sota/text-classification-on-clinc-oos). | |
| ### Languages | |
| 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| | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed] | |
| #### Who are the source language producers? | |
| [More Information Needed] | |
| ### Annotations | |
| #### 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{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](https://github.com/sumanthd17) for adding this dataset. |