Datasets:
metadata
dataset_info:
- config_name: ar
features:
- name: words
list: string
- name: slots
list:
class_label:
names:
'0': O
'1': I-alarm/alarm_modifier
'2': I-album
'3': I-artist
'4': I-best_rating
'5': I-condition_description
'6': I-condition_temperature
'7': I-cuisine
'8': I-datetime
'9': I-entity_name
'10': I-facility
'11': I-genre
'12': I-location
'13': I-movie_name
'14': I-movie_type
'15': I-music_item
'16': I-negation
'17': I-news/type
'18': I-object_location_type
'19': I-object_name
'20': I-object_part_of_series_type
'21': I-object_select
'22': I-object_type
'23': I-party_size_description
'24': I-party_size_number
'25': I-playlist
'26': I-rating_unit
'27': I-rating_value
'28': I-recurring_datetime
'29': I-reference
'30': I-reminder/reminder_modifier
'31': I-reminder/todo
'32': I-restaurant_name
'33': I-restaurant_type
'34': I-served_dish
'35': I-service
'36': I-sort
'37': I-timer/attributes
'38': I-track
'39': I-weather/attribute
'40': I-weather/temperatureUnit
'41': I-reference-part
'42': B-alarm/alarm_modifier
'43': B-album
'44': B-artist
'45': B-best_rating
'46': B-condition_description
'47': B-condition_temperature
'48': B-cuisine
'49': B-datetime
'50': B-entity_name
'51': B-facility
'52': B-genre
'53': B-location
'54': B-movie_name
'55': B-movie_type
'56': B-music_item
'57': B-negation
'58': B-news/type
'59': B-object_location_type
'60': B-object_name
'61': B-object_part_of_series_type
'62': B-object_select
'63': B-object_type
'64': B-party_size_description
'65': B-party_size_number
'66': B-playlist
'67': B-rating_unit
'68': B-rating_value
'69': B-recurring_datetime
'70': B-reference
'71': B-reminder/reminder_modifier
'72': B-reminder/todo
'73': B-restaurant_name
'74': B-restaurant_type
'75': B-served_dish
'76': B-service
'77': B-sort
'78': B-timer/attributes
'79': B-track
'80': B-weather/attribute
'81': B-weather/temperatureUnit
'82': B-reference-part
- name: intent
dtype:
class_label:
names:
'0': AddToPlaylist
'1': alarm/cancel_alarm
'2': alarm/modify_alarm
'3': alarm/set_alarm
'4': alarm/show_alarms
'5': alarm/snooze_alarm
'6': alarm/time_left_on_alarm
'7': BookRestaurant
'8': PlayMusic
'9': RateBook
'10': reminder/cancel_reminder
'11': reminder/set_reminder
'12': reminder/show_reminders
'13': SearchCreativeWork
'14': SearchScreeningEvent
'15': weather/checkSunrise
'16': weather/checkSunset
'17': weather/find
splits:
- name: dev
num_bytes: 45856
num_examples: 300
- name: test
num_bytes: 75318
num_examples: 500
download_size: 42895
dataset_size: 121174
- config_name: da
features:
- name: words
list: string
- name: slots
list:
class_label:
names:
'0': O
'1': I-alarm/alarm_modifier
'2': I-album
'3': I-artist
'4': I-best_rating
'5': I-condition_description
'6': I-condition_temperature
'7': I-cuisine
'8': I-datetime
'9': I-entity_name
'10': I-facility
'11': I-genre
'12': I-location
'13': I-movie_name
'14': I-movie_type
'15': I-music_item
'16': I-negation
'17': I-news/type
'18': I-object_location_type
'19': I-object_name
'20': I-object_part_of_series_type
'21': I-object_select
'22': I-object_type
'23': I-party_size_description
'24': I-party_size_number
'25': I-playlist
'26': I-rating_unit
'27': I-rating_value
'28': I-recurring_datetime
'29': I-reference
'30': I-reminder/reminder_modifier
'31': I-reminder/todo
'32': I-restaurant_name
'33': I-restaurant_type
'34': I-served_dish
'35': I-service
'36': I-sort
'37': I-timer/attributes
'38': I-track
'39': I-weather/attribute
'40': I-weather/temperatureUnit
'41': I-reference-part
'42': B-alarm/alarm_modifier
'43': B-album
'44': B-artist
'45': B-best_rating
'46': B-condition_description
'47': B-condition_temperature
'48': B-cuisine
'49': B-datetime
'50': B-entity_name
'51': B-facility
'52': B-genre
'53': B-location
'54': B-movie_name
'55': B-movie_type
'56': B-music_item
'57': B-negation
'58': B-news/type
'59': B-object_location_type
'60': B-object_name
'61': B-object_part_of_series_type
'62': B-object_select
'63': B-object_type
'64': B-party_size_description
'65': B-party_size_number
'66': B-playlist
'67': B-rating_unit
'68': B-rating_value
'69': B-recurring_datetime
'70': B-reference
'71': B-reminder/reminder_modifier
'72': B-reminder/todo
'73': B-restaurant_name
'74': B-restaurant_type
'75': B-served_dish
'76': B-service
'77': B-sort
'78': B-timer/attributes
'79': B-track
'80': B-weather/attribute
'81': B-weather/temperatureUnit
'82': B-reference-part
- name: intent
dtype:
class_label:
names:
'0': AddToPlaylist
'1': alarm/cancel_alarm
'2': alarm/modify_alarm
'3': alarm/set_alarm
'4': alarm/show_alarms
'5': alarm/snooze_alarm
'6': alarm/time_left_on_alarm
'7': BookRestaurant
'8': PlayMusic
'9': RateBook
'10': reminder/cancel_reminder
'11': reminder/set_reminder
'12': reminder/show_reminders
'13': SearchCreativeWork
'14': SearchScreeningEvent
'15': weather/checkSunrise
'16': weather/checkSunset
'17': weather/find
splits:
- name: dev
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num_examples: 300
- name: test
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num_examples: 500
download_size: 40847
dataset_size: 113997
- config_name: de
features:
- name: words
list: string
- name: slots
list:
class_label:
names:
'0': O
'1': I-alarm/alarm_modifier
'2': I-album
'3': I-artist
'4': I-best_rating
'5': I-condition_description
'6': I-condition_temperature
'7': I-cuisine
'8': I-datetime
'9': I-entity_name
'10': I-facility
'11': I-genre
'12': I-location
'13': I-movie_name
'14': I-movie_type
'15': I-music_item
'16': I-negation
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'18': I-object_location_type
'19': I-object_name
'20': I-object_part_of_series_type
'21': I-object_select
'22': I-object_type
'23': I-party_size_description
'24': I-party_size_number
'25': I-playlist
'26': I-rating_unit
'27': I-rating_value
'28': I-recurring_datetime
'29': I-reference
'30': I-reminder/reminder_modifier
'31': I-reminder/todo
'32': I-restaurant_name
'33': I-restaurant_type
'34': I-served_dish
'35': I-service
'36': I-sort
'37': I-timer/attributes
'38': I-track
'39': I-weather/attribute
'40': I-weather/temperatureUnit
'41': I-reference-part
'42': B-alarm/alarm_modifier
'43': B-album
'44': B-artist
'45': B-best_rating
'46': B-condition_description
'47': B-condition_temperature
'48': B-cuisine
'49': B-datetime
'50': B-entity_name
'51': B-facility
'52': B-genre
'53': B-location
'54': B-movie_name
'55': B-movie_type
'56': B-music_item
'57': B-negation
'58': B-news/type
'59': B-object_location_type
'60': B-object_name
'61': B-object_part_of_series_type
'62': B-object_select
'63': B-object_type
'64': B-party_size_description
'65': B-party_size_number
'66': B-playlist
'67': B-rating_unit
'68': B-rating_value
'69': B-recurring_datetime
'70': B-reference
'71': B-reminder/reminder_modifier
'72': B-reminder/todo
'73': B-restaurant_name
'74': B-restaurant_type
'75': B-served_dish
'76': B-service
'77': B-sort
'78': B-timer/attributes
'79': B-track
'80': B-weather/attribute
'81': B-weather/temperatureUnit
'82': B-reference-part
- name: intent
dtype:
class_label:
names:
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'2': alarm/modify_alarm
'3': alarm/set_alarm
'4': alarm/show_alarms
'5': alarm/snooze_alarm
'6': alarm/time_left_on_alarm
'7': BookRestaurant
'8': PlayMusic
'9': RateBook
'10': reminder/cancel_reminder
'11': reminder/set_reminder
'12': reminder/show_reminders
'13': SearchCreativeWork
'14': SearchScreeningEvent
'15': weather/checkSunrise
'16': weather/checkSunset
'17': weather/find
splits:
- name: dev
num_bytes: 43650
num_examples: 300
- name: test
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num_examples: 500
download_size: 41610
dataset_size: 115510
- config_name: de-ba
features:
- name: words
list: string
- name: slots
list:
class_label:
names:
'0': O
'1': I-alarm/alarm_modifier
'2': I-album
'3': I-artist
'4': I-best_rating
'5': I-condition_description
'6': I-condition_temperature
'7': I-cuisine
'8': I-datetime
'9': I-entity_name
'10': I-facility
'11': I-genre
'12': I-location
'13': I-movie_name
'14': I-movie_type
'15': I-music_item
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'18': I-object_location_type
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'20': I-object_part_of_series_type
'21': I-object_select
'22': I-object_type
'23': I-party_size_description
'24': I-party_size_number
'25': I-playlist
'26': I-rating_unit
'27': I-rating_value
'28': I-recurring_datetime
'29': I-reference
'30': I-reminder/reminder_modifier
'31': I-reminder/todo
'32': I-restaurant_name
'33': I-restaurant_type
'34': I-served_dish
'35': I-service
'36': I-sort
'37': I-timer/attributes
'38': I-track
'39': I-weather/attribute
'40': I-weather/temperatureUnit
'41': I-reference-part
'42': B-alarm/alarm_modifier
'43': B-album
'44': B-artist
'45': B-best_rating
'46': B-condition_description
'47': B-condition_temperature
'48': B-cuisine
'49': B-datetime
'50': B-entity_name
'51': B-facility
'52': B-genre
'53': B-location
'54': B-movie_name
'55': B-movie_type
'56': B-music_item
'57': B-negation
'58': B-news/type
'59': B-object_location_type
'60': B-object_name
'61': B-object_part_of_series_type
'62': B-object_select
'63': B-object_type
'64': B-party_size_description
'65': B-party_size_number
'66': B-playlist
'67': B-rating_unit
'68': B-rating_value
'69': B-recurring_datetime
'70': B-reference
'71': B-reminder/reminder_modifier
'72': B-reminder/todo
'73': B-restaurant_name
'74': B-restaurant_type
'75': B-served_dish
'76': B-service
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'78': B-timer/attributes
'79': B-track
'80': B-weather/attribute
'81': B-weather/temperatureUnit
'82': B-reference-part
- name: intent
dtype:
class_label:
names:
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'1': alarm/cancel_alarm
'2': alarm/modify_alarm
'3': alarm/set_alarm
'4': alarm/show_alarms
'5': alarm/snooze_alarm
'6': alarm/time_left_on_alarm
'7': BookRestaurant
'8': PlayMusic
'9': RateBook
'10': reminder/cancel_reminder
'11': reminder/set_reminder
'12': reminder/show_reminders
'13': SearchCreativeWork
'14': SearchScreeningEvent
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'16': weather/checkSunset
'17': weather/find
splits:
- name: dev
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num_examples: 300
- name: test
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download_size: 41105
dataset_size: 111217
- config_name: de-muc
features:
- name: words
list: string
- name: slots
list:
class_label:
names:
'0': O
'1': I-alarm/alarm_modifier
'2': I-album
'3': I-artist
'4': I-best_rating
'5': I-condition_description
'6': I-condition_temperature
'7': I-cuisine
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'9': I-entity_name
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'23': I-party_size_description
'24': I-party_size_number
'25': I-playlist
'26': I-rating_unit
'27': I-rating_value
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'29': I-reference
'30': I-reminder/reminder_modifier
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'32': I-restaurant_name
'33': I-restaurant_type
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'42': B-alarm/alarm_modifier
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'44': B-artist
'45': B-best_rating
'46': B-condition_description
'47': B-condition_temperature
'48': B-cuisine
'49': B-datetime
'50': B-entity_name
'51': B-facility
'52': B-genre
'53': B-location
'54': B-movie_name
'55': B-movie_type
'56': B-music_item
'57': B-negation
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'59': B-object_location_type
'60': B-object_name
'61': B-object_part_of_series_type
'62': B-object_select
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'64': B-party_size_description
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'67': B-rating_unit
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dtype:
class_label:
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'3': alarm/set_alarm
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'5': alarm/snooze_alarm
'6': alarm/time_left_on_alarm
'7': BookRestaurant
'8': PlayMusic
'9': RateBook
'10': reminder/cancel_reminder
'11': reminder/set_reminder
'12': reminder/show_reminders
'13': SearchCreativeWork
'14': SearchScreeningEvent
'15': weather/checkSunrise
'16': weather/checkSunset
'17': weather/find
splits:
- name: dev
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- name: test
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features:
- name: words
list: string
- name: slots
list:
class_label:
names:
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'2': I-album
'3': I-artist
'4': I-best_rating
'5': I-condition_description
'6': I-condition_temperature
'7': I-cuisine
'8': I-datetime
'9': I-entity_name
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'14': I-movie_type
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'20': I-object_part_of_series_type
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'22': I-object_type
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'24': I-party_size_number
'25': I-playlist
'26': I-rating_unit
'27': I-rating_value
'28': I-recurring_datetime
'29': I-reference
'30': I-reminder/reminder_modifier
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'32': I-restaurant_name
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'34': I-served_dish
'35': I-service
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'37': I-timer/attributes
'38': I-track
'39': I-weather/attribute
'40': I-weather/temperatureUnit
'41': I-reference-part
'42': B-alarm/alarm_modifier
'43': B-album
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'45': B-best_rating
'46': B-condition_description
'47': B-condition_temperature
'48': B-cuisine
'49': B-datetime
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'52': B-genre
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'54': B-movie_name
'55': B-movie_type
'56': B-music_item
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'60': B-object_name
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dtype:
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'9': RateBook
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splits:
- name: dev
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features:
- name: words
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'6': alarm/time_left_on_alarm
'7': BookRestaurant
'8': PlayMusic
'9': RateBook
'10': reminder/cancel_reminder
'11': reminder/set_reminder
'12': reminder/show_reminders
'13': SearchCreativeWork
'14': SearchScreeningEvent
'15': weather/checkSunrise
'16': weather/checkSunset
'17': weather/find
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num_bytes: 44195
num_examples: 300
- name: test
num_bytes: 71241
num_examples: 500
download_size: 42055
dataset_size: 115436
- config_name: nl
features:
- name: words
list: string
- name: slots
list:
class_label:
names:
'0': O
'1': I-alarm/alarm_modifier
'2': I-album
'3': I-artist
'4': I-best_rating
'5': I-condition_description
'6': I-condition_temperature
'7': I-cuisine
'8': I-datetime
'9': I-entity_name
'10': I-facility
'11': I-genre
'12': I-location
'13': I-movie_name
'14': I-movie_type
'15': I-music_item
'16': I-negation
'17': I-news/type
'18': I-object_location_type
'19': I-object_name
'20': I-object_part_of_series_type
'21': I-object_select
'22': I-object_type
'23': I-party_size_description
'24': I-party_size_number
'25': I-playlist
'26': I-rating_unit
'27': I-rating_value
'28': I-recurring_datetime
'29': I-reference
'30': I-reminder/reminder_modifier
'31': I-reminder/todo
'32': I-restaurant_name
'33': I-restaurant_type
'34': I-served_dish
'35': I-service
'36': I-sort
'37': I-timer/attributes
'38': I-track
'39': I-weather/attribute
'40': I-weather/temperatureUnit
'41': I-reference-part
'42': B-alarm/alarm_modifier
'43': B-album
'44': B-artist
'45': B-best_rating
'46': B-condition_description
'47': B-condition_temperature
'48': B-cuisine
'49': B-datetime
'50': B-entity_name
'51': B-facility
'52': B-genre
'53': B-location
'54': B-movie_name
'55': B-movie_type
'56': B-music_item
'57': B-negation
'58': B-news/type
'59': B-object_location_type
'60': B-object_name
'61': B-object_part_of_series_type
'62': B-object_select
'63': B-object_type
'64': B-party_size_description
'65': B-party_size_number
'66': B-playlist
'67': B-rating_unit
'68': B-rating_value
'69': B-recurring_datetime
'70': B-reference
'71': B-reminder/reminder_modifier
'72': B-reminder/todo
'73': B-restaurant_name
'74': B-restaurant_type
'75': B-served_dish
'76': B-service
'77': B-sort
'78': B-timer/attributes
'79': B-track
'80': B-weather/attribute
'81': B-weather/temperatureUnit
'82': B-reference-part
- name: intent
dtype:
class_label:
names:
'0': AddToPlaylist
'1': alarm/cancel_alarm
'2': alarm/modify_alarm
'3': alarm/set_alarm
'4': alarm/show_alarms
'5': alarm/snooze_alarm
'6': alarm/time_left_on_alarm
'7': BookRestaurant
'8': PlayMusic
'9': RateBook
'10': reminder/cancel_reminder
'11': reminder/set_reminder
'12': reminder/show_reminders
'13': SearchCreativeWork
'14': SearchScreeningEvent
'15': weather/checkSunrise
'16': weather/checkSunset
'17': weather/find
splits:
- name: dev
num_bytes: 43007
num_examples: 300
- name: test
num_bytes: 71458
num_examples: 500
download_size: 40963
dataset_size: 114465
- config_name: 'no'
features:
- name: words
list: string
- name: slots
list:
class_label:
names:
'0': O
'1': I-alarm/alarm_modifier
'2': I-album
'3': I-artist
'4': I-best_rating
'5': I-condition_description
'6': I-condition_temperature
'7': I-cuisine
'8': I-datetime
'9': I-entity_name
'10': I-facility
'11': I-genre
'12': I-location
'13': I-movie_name
'14': I-movie_type
'15': I-music_item
'16': I-negation
'17': I-news/type
'18': I-object_location_type
'19': I-object_name
'20': I-object_part_of_series_type
'21': I-object_select
'22': I-object_type
'23': I-party_size_description
'24': I-party_size_number
'25': I-playlist
'26': I-rating_unit
'27': I-rating_value
'28': I-recurring_datetime
'29': I-reference
'30': I-reminder/reminder_modifier
'31': I-reminder/todo
'32': I-restaurant_name
'33': I-restaurant_type
'34': I-served_dish
'35': I-service
'36': I-sort
'37': I-timer/attributes
'38': I-track
'39': I-weather/attribute
'40': I-weather/temperatureUnit
'41': I-reference-part
'42': B-alarm/alarm_modifier
'43': B-album
'44': B-artist
'45': B-best_rating
'46': B-condition_description
'47': B-condition_temperature
'48': B-cuisine
'49': B-datetime
'50': B-entity_name
'51': B-facility
'52': B-genre
'53': B-location
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'55': B-movie_type
'56': B-music_item
'57': B-negation
'58': B-news/type
'59': B-object_location_type
'60': B-object_name
'61': B-object_part_of_series_type
'62': B-object_select
'63': B-object_type
'64': B-party_size_description
'65': B-party_size_number
'66': B-playlist
'67': B-rating_unit
'68': B-rating_value
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'72': B-reminder/todo
'73': B-restaurant_name
'74': B-restaurant_type
'75': B-served_dish
'76': B-service
'77': B-sort
'78': B-timer/attributes
'79': B-track
'80': B-weather/attribute
'81': B-weather/temperatureUnit
'82': B-reference-part
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dtype:
class_label:
names:
'0': AddToPlaylist
'1': alarm/cancel_alarm
'2': alarm/modify_alarm
'3': alarm/set_alarm
'4': alarm/show_alarms
'5': alarm/snooze_alarm
'6': alarm/time_left_on_alarm
'7': BookRestaurant
'8': PlayMusic
'9': RateBook
'10': reminder/cancel_reminder
'11': reminder/set_reminder
'12': reminder/show_reminders
'13': SearchCreativeWork
'14': SearchScreeningEvent
'15': weather/checkSunrise
'16': weather/checkSunset
'17': weather/find
splits:
- name: dev
num_bytes: 473111
num_examples: 3300
- name: test
num_bytes: 771745
num_examples: 5500
download_size: 195139
dataset_size: 1244856
- config_name: sr
features:
- name: words
list: string
- name: slots
list:
class_label:
names:
'0': O
'1': I-alarm/alarm_modifier
'2': I-album
'3': I-artist
'4': I-best_rating
'5': I-condition_description
'6': I-condition_temperature
'7': I-cuisine
'8': I-datetime
'9': I-entity_name
'10': I-facility
'11': I-genre
'12': I-location
'13': I-movie_name
'14': I-movie_type
'15': I-music_item
'16': I-negation
'17': I-news/type
'18': I-object_location_type
'19': I-object_name
'20': I-object_part_of_series_type
'21': I-object_select
'22': I-object_type
'23': I-party_size_description
'24': I-party_size_number
'25': I-playlist
'26': I-rating_unit
'27': I-rating_value
'28': I-recurring_datetime
'29': I-reference
'30': I-reminder/reminder_modifier
'31': I-reminder/todo
'32': I-restaurant_name
'33': I-restaurant_type
'34': I-served_dish
'35': I-service
'36': I-sort
'37': I-timer/attributes
'38': I-track
'39': I-weather/attribute
'40': I-weather/temperatureUnit
'41': I-reference-part
'42': B-alarm/alarm_modifier
'43': B-album
'44': B-artist
'45': B-best_rating
'46': B-condition_description
'47': B-condition_temperature
'48': B-cuisine
'49': B-datetime
'50': B-entity_name
'51': B-facility
'52': B-genre
'53': B-location
'54': B-movie_name
'55': B-movie_type
'56': B-music_item
'57': B-negation
'58': B-news/type
'59': B-object_location_type
'60': B-object_name
'61': B-object_part_of_series_type
'62': B-object_select
'63': B-object_type
'64': B-party_size_description
'65': B-party_size_number
'66': B-playlist
'67': B-rating_unit
'68': B-rating_value
'69': B-recurring_datetime
'70': B-reference
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'72': B-reminder/todo
'73': B-restaurant_name
'74': B-restaurant_type
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'76': B-service
'77': B-sort
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'79': B-track
'80': B-weather/attribute
'81': B-weather/temperatureUnit
'82': B-reference-part
- name: intent
dtype:
class_label:
names:
'0': AddToPlaylist
'1': alarm/cancel_alarm
'2': alarm/modify_alarm
'3': alarm/set_alarm
'4': alarm/show_alarms
'5': alarm/snooze_alarm
'6': alarm/time_left_on_alarm
'7': BookRestaurant
'8': PlayMusic
'9': RateBook
'10': reminder/cancel_reminder
'11': reminder/set_reminder
'12': reminder/show_reminders
'13': SearchCreativeWork
'14': SearchScreeningEvent
'15': weather/checkSunrise
'16': weather/checkSunset
'17': weather/find
splits:
- name: dev
num_bytes: 42518
num_examples: 300
- name: test
num_bytes: 72942
num_examples: 500
download_size: 43364
dataset_size: 115460
- config_name: tr
features:
- name: words
list: string
- name: slots
list:
class_label:
names:
'0': O
'1': I-alarm/alarm_modifier
'2': I-album
'3': I-artist
'4': I-best_rating
'5': I-condition_description
'6': I-condition_temperature
'7': I-cuisine
'8': I-datetime
'9': I-entity_name
'10': I-facility
'11': I-genre
'12': I-location
'13': I-movie_name
'14': I-movie_type
'15': I-music_item
'16': I-negation
'17': I-news/type
'18': I-object_location_type
'19': I-object_name
'20': I-object_part_of_series_type
'21': I-object_select
'22': I-object_type
'23': I-party_size_description
'24': I-party_size_number
'25': I-playlist
'26': I-rating_unit
'27': I-rating_value
'28': I-recurring_datetime
'29': I-reference
'30': I-reminder/reminder_modifier
'31': I-reminder/todo
'32': I-restaurant_name
'33': I-restaurant_type
'34': I-served_dish
'35': I-service
'36': I-sort
'37': I-timer/attributes
'38': I-track
'39': I-weather/attribute
'40': I-weather/temperatureUnit
'41': I-reference-part
'42': B-alarm/alarm_modifier
'43': B-album
'44': B-artist
'45': B-best_rating
'46': B-condition_description
'47': B-condition_temperature
'48': B-cuisine
'49': B-datetime
'50': B-entity_name
'51': B-facility
'52': B-genre
'53': B-location
'54': B-movie_name
'55': B-movie_type
'56': B-music_item
'57': B-negation
'58': B-news/type
'59': B-object_location_type
'60': B-object_name
'61': B-object_part_of_series_type
'62': B-object_select
'63': B-object_type
'64': B-party_size_description
'65': B-party_size_number
'66': B-playlist
'67': B-rating_unit
'68': B-rating_value
'69': B-recurring_datetime
'70': B-reference
'71': B-reminder/reminder_modifier
'72': B-reminder/todo
'73': B-restaurant_name
'74': B-restaurant_type
'75': B-served_dish
'76': B-service
'77': B-sort
'78': B-timer/attributes
'79': B-track
'80': B-weather/attribute
'81': B-weather/temperatureUnit
'82': B-reference-part
- name: intent
dtype:
class_label:
names:
'0': AddToPlaylist
'1': alarm/cancel_alarm
'2': alarm/modify_alarm
'3': alarm/set_alarm
'4': alarm/show_alarms
'5': alarm/snooze_alarm
'6': alarm/time_left_on_alarm
'7': BookRestaurant
'8': PlayMusic
'9': RateBook
'10': reminder/cancel_reminder
'11': reminder/set_reminder
'12': reminder/show_reminders
'13': SearchCreativeWork
'14': SearchScreeningEvent
'15': weather/checkSunrise
'16': weather/checkSunset
'17': weather/find
splits:
- name: dev
num_bytes: 38782
num_examples: 300
- name: test
num_bytes: 64046
num_examples: 500
download_size: 41863
dataset_size: 102828
- config_name: zh
features:
- name: words
list: string
- name: slots
list:
class_label:
names:
'0': O
'1': I-alarm/alarm_modifier
'2': I-album
'3': I-artist
'4': I-best_rating
'5': I-condition_description
'6': I-condition_temperature
'7': I-cuisine
'8': I-datetime
'9': I-entity_name
'10': I-facility
'11': I-genre
'12': I-location
'13': I-movie_name
'14': I-movie_type
'15': I-music_item
'16': I-negation
'17': I-news/type
'18': I-object_location_type
'19': I-object_name
'20': I-object_part_of_series_type
'21': I-object_select
'22': I-object_type
'23': I-party_size_description
'24': I-party_size_number
'25': I-playlist
'26': I-rating_unit
'27': I-rating_value
'28': I-recurring_datetime
'29': I-reference
'30': I-reminder/reminder_modifier
'31': I-reminder/todo
'32': I-restaurant_name
'33': I-restaurant_type
'34': I-served_dish
'35': I-service
'36': I-sort
'37': I-timer/attributes
'38': I-track
'39': I-weather/attribute
'40': I-weather/temperatureUnit
'41': I-reference-part
'42': B-alarm/alarm_modifier
'43': B-album
'44': B-artist
'45': B-best_rating
'46': B-condition_description
'47': B-condition_temperature
'48': B-cuisine
'49': B-datetime
'50': B-entity_name
'51': B-facility
'52': B-genre
'53': B-location
'54': B-movie_name
'55': B-movie_type
'56': B-music_item
'57': B-negation
'58': B-news/type
'59': B-object_location_type
'60': B-object_name
'61': B-object_part_of_series_type
'62': B-object_select
'63': B-object_type
'64': B-party_size_description
'65': B-party_size_number
'66': B-playlist
'67': B-rating_unit
'68': B-rating_value
'69': B-recurring_datetime
'70': B-reference
'71': B-reminder/reminder_modifier
'72': B-reminder/todo
'73': B-restaurant_name
'74': B-restaurant_type
'75': B-served_dish
'76': B-service
'77': B-sort
'78': B-timer/attributes
'79': B-track
'80': B-weather/attribute
'81': B-weather/temperatureUnit
'82': B-reference-part
- name: intent
dtype:
class_label:
names:
'0': AddToPlaylist
'1': alarm/cancel_alarm
'2': alarm/modify_alarm
'3': alarm/set_alarm
'4': alarm/show_alarms
'5': alarm/snooze_alarm
'6': alarm/time_left_on_alarm
'7': BookRestaurant
'8': PlayMusic
'9': RateBook
'10': reminder/cancel_reminder
'11': reminder/set_reminder
'12': reminder/show_reminders
'13': SearchCreativeWork
'14': SearchScreeningEvent
'15': weather/checkSunrise
'16': weather/checkSunset
'17': weather/find
splits:
- name: dev
num_bytes: 41465
num_examples: 300
- name: test
num_bytes: 69082
num_examples: 500
download_size: 41588
dataset_size: 110547
configs:
- config_name: ar
data_files:
- split: dev
path: ar/dev-*
- split: test
path: ar/test-*
- config_name: da
data_files:
- split: dev
path: da/dev-*
- split: test
path: da/test-*
- config_name: de
data_files:
- split: dev
path: de/dev-*
- split: test
path: de/test-*
- config_name: de-ba
data_files:
- split: dev
path: de-ba/dev-*
- split: test
path: de-ba/test-*
- config_name: de-muc
data_files:
- split: dev
path: de-muc/dev-*
- split: test
path: de-muc/test-*
- config_name: de-st
data_files:
- split: dev
path: de-st/dev-*
- split: test
path: de-st/test-*
- config_name: en
data_files:
- split: dev
path: en/dev-*
- split: test
path: en/test-*
- split: train
path: en/train-*
- config_name: gsw
data_files:
- split: dev
path: gsw/dev-*
- split: test
path: gsw/test-*
- config_name: id
data_files:
- split: dev
path: id/dev-*
- split: test
path: id/test-*
- config_name: it
data_files:
- split: dev
path: it/dev-*
- split: test
path: it/test-*
- config_name: ja
data_files:
- split: dev
path: ja/dev-*
- split: test
path: ja/test-*
- config_name: kk
data_files:
- split: dev
path: kk/dev-*
- split: test
path: kk/test-*
- config_name: lt
data_files:
- split: dev
path: lt/dev-*
- split: test
path: lt/test-*
- config_name: nap
data_files:
- split: dev
path: nap/dev-*
- split: test
path: nap/test-*
- config_name: nl
data_files:
- split: dev
path: nl/dev-*
- split: test
path: nl/test-*
- config_name: 'no'
data_files:
- split: dev
path: no/dev-*
- split: test
path: no/test-*
- config_name: sr
data_files:
- split: dev
path: sr/dev-*
- split: test
path: sr/test-*
- config_name: tr
data_files:
- split: dev
path: tr/dev-*
- split: test
path: tr/test-*
- config_name: zh
data_files:
- split: dev
path: zh/dev-*
- split: test
path: zh/test-*
language:
- ar
- da
- de
- en
- id
- it
- ja
- kk
- lt
- nl
- nb
- nn
- sr
- tr
- zh
From Masked-Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
This repository contains the latest xSID data (v0.7). It is a copy of the data from: https://bitbucket.org/robvanderg/multilexnorm/src/master/ , where you can find the code to reproduce the paper.
Please cite the papers below if you use the data.
Usage:
from datasets import load_dataset
ds = load_dataset(
"robvanderg/xSID",
"da",
split="dev",
)
print(ds)
Dataset({
features: ['words', 'slots', 'intent'],
num_rows: 300
})
Citation
@inproceedings{van-der-goot-etal-2021-masked,
title = "From Masked Language Modeling to Translation: Non-{E}nglish Auxiliary Tasks Improve Zero-shot Spoken Language Understanding",
author = {van der Goot, Rob and
Sharaf, Ibrahim and
Imankulova, Aizhan and
{\"U}st{\"u}n, Ahmet and
Stepanovi{\'c}, Marija and
Ramponi, Alan and
Khairunnisa, Siti Oryza and
Komachi, Mamoru and
Plank, Barbara},
editor = "Toutanova, Kristina and
Rumshisky, Anna and
Zettlemoyer, Luke and
Hakkani-Tur, Dilek and
Beltagy, Iz and
Bethard, Steven and
Cotterell, Ryan and
Chakraborty, Tanmoy and
Zhou, Yichao",
booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.naacl-main.197",
doi = "10.18653/v1/2021.naacl-main.197",
pages = "2479--2497",
}
If you use version >= 0.4 (which includes Neapolitan and Swiss German), please also cite:
@inproceedings{aepli-etal-2023-findings,
title = "Findings of the {V}ar{D}ial Evaluation Campaign 2023",
author = {Aepli, No{\"e}mi and
{\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i} and
Van Der Goot, Rob and
Jauhiainen, Tommi and
Kazzaz, Mourhaf and
Ljube{\v{s}}i{\'c}, Nikola and
North, Kai and
Plank, Barbara and
Scherrer, Yves and
Zampieri, Marcos},
editor = {Scherrer, Yves and
Jauhiainen, Tommi and
Ljube{\v{s}}i{\'c}, Nikola and
Nakov, Preslav and
Tiedemann, J{\"o}rg and
Zampieri, Marcos},
booktitle = "Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.vardial-1.25",
doi = "10.18653/v1/2023.vardial-1.25",
pages = "251--261",
}
If you use version >= 0.5 (which includes Bavarian and Lithuanian), please also cite:
@inproceedings{winkler-etal-2024-slot,
title = "Slot and Intent Detection Resources for {B}avarian and {L}ithuanian: Assessing Translations vs Natural Queries to Digital Assistants",
author = "Winkler, Miriam and
Juozapaityte, Virginija and
van der Goot, Rob and
Plank, Barbara",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.1297",
pages = "14898--14915",
@inproceedings{Winkler2024,
title = "Slot and Intent Detection Resources for {B}avarian and {L}ithuanian: Assessing Translations vs Natural Queries to Digital Assistants",
author = "Winkler, Miriam and Juozapaityte, Virginija and van der Goot, Rob and Plank, Barbara",
booktitle = "Proceedings of The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation",
year = "2024",
publisher = "Association for Computational Linguistics",
}
If you use version >= 0.7 (which includes Munich Bavarian and Norwegian dialects), please also cite:
@inproceedings{kruckl-etal-2025-improving,
title = "Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal {B}avarian Case Study",
author = {Kr{\"u}ckl, Xaver Maria and
Blaschke, Verena and
Plank, Barbara},
editor = "Scherrer, Yves and
Jauhiainen, Tommi and
Ljube{\v{s}}i{\'c}, Nikola and
Nakov, Preslav and
Tiedemann, Jorg and
Zampieri, Marcos",
booktitle = "Proceedings of the 12th Workshop on NLP for Similar Languages, Varieties and Dialects",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.vardial-1.10/",
pages = "128--146"
}
@inproceedings{maehlum-scherrer-2024-nomusic,
title = "{N}o{M}usic - The {N}orwegian Multi-Dialectal Slot and Intent Detection Corpus",
author = "M{\ae}hlum, Petter and
Scherrer, Yves",
editor = {Scherrer, Yves and
Jauhiainen, Tommi and
Ljube{\v{s}}i{\'c}, Nikola and
Zampieri, Marcos and
Nakov, Preslav and
Tiedemann, J{\"o}rg},
booktitle = "Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024)",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.vardial-1.9/",
doi = "10.18653/v1/2024.vardial-1.9",
pages = "107--116"
}