Datasets:
metadata
configs:
- config_name: default
- config_name: en
data_files:
- split: train
path: en/train-*
- split: test
path: en/test-*
- split: validation
path: en/validation-*
- config_name: en_2022
data_files:
- split: train
path: en_2022/train-*
- split: validation
path: en_2022/validation-*
- config_name: en_cross_validation_0
data_files:
- split: train
path: en_cross_validation_0/train-*
- split: test
path: en_cross_validation_0/test-*
- split: validation
path: en_cross_validation_0/validation-*
- config_name: en_cross_validation_1
data_files:
- split: train
path: en_cross_validation_1/train-*
- split: test
path: en_cross_validation_1/test-*
- split: validation
path: en_cross_validation_1/validation-*
- config_name: en_cross_validation_2
data_files:
- split: train
path: en_cross_validation_2/train-*
- split: test
path: en_cross_validation_2/test-*
- split: validation
path: en_cross_validation_2/validation-*
- config_name: en_cross_validation_3
data_files:
- split: train
path: en_cross_validation_3/train-*
- split: test
path: en_cross_validation_3/test-*
- split: validation
path: en_cross_validation_3/validation-*
- config_name: en_cross_validation_4
data_files:
- split: train
path: en_cross_validation_4/train-*
- split: test
path: en_cross_validation_4/test-*
- split: validation
path: en_cross_validation_4/validation-*
- config_name: es
data_files:
- split: train
path: es/train-*
- split: test
path: es/test-*
- split: validation
path: es/validation-*
- config_name: es_cross_validation_0
data_files:
- split: train
path: es_cross_validation_0/train-*
- split: test
path: es_cross_validation_0/test-*
- split: validation
path: es_cross_validation_0/validation-*
- config_name: es_cross_validation_1
data_files:
- split: train
path: es_cross_validation_1/train-*
- split: test
path: es_cross_validation_1/test-*
- split: validation
path: es_cross_validation_1/validation-*
- config_name: es_cross_validation_2
data_files:
- split: train
path: es_cross_validation_2/train-*
- split: test
path: es_cross_validation_2/test-*
- split: validation
path: es_cross_validation_2/validation-*
- config_name: es_cross_validation_3
data_files:
- split: train
path: es_cross_validation_3/train-*
- split: test
path: es_cross_validation_3/test-*
- split: validation
path: es_cross_validation_3/validation-*
- config_name: es_cross_validation_4
data_files:
- split: train
path: es_cross_validation_4/train-*
- split: test
path: es_cross_validation_4/test-*
- split: validation
path: es_cross_validation_4/validation-*
- config_name: gr
data_files:
- split: train
path: gr/train-*
- split: test
path: gr/test-*
- split: validation
path: gr/validation-*
- config_name: gr_cross_validation_0
data_files:
- split: train
path: gr_cross_validation_0/train-*
- split: test
path: gr_cross_validation_0/test-*
- split: validation
path: gr_cross_validation_0/validation-*
- config_name: gr_cross_validation_1
data_files:
- split: train
path: gr_cross_validation_1/train-*
- split: test
path: gr_cross_validation_1/test-*
- split: validation
path: gr_cross_validation_1/validation-*
- config_name: gr_cross_validation_2
data_files:
- split: train
path: gr_cross_validation_2/train-*
- split: test
path: gr_cross_validation_2/test-*
- split: validation
path: gr_cross_validation_2/validation-*
- config_name: gr_cross_validation_3
data_files:
- split: train
path: gr_cross_validation_3/train-*
- split: test
path: gr_cross_validation_3/test-*
- split: validation
path: gr_cross_validation_3/validation-*
- config_name: gr_cross_validation_4
data_files:
- split: train
path: gr_cross_validation_4/train-*
- split: test
path: gr_cross_validation_4/test-*
- split: validation
path: gr_cross_validation_4/validation-*
- config_name: ja
data_files:
- split: train
path: ja/train-*
- split: test
path: ja/test-*
- split: validation
path: ja/validation-*
- config_name: ja_cross_validation_0
data_files:
- split: train
path: ja_cross_validation_0/train-*
- split: test
path: ja_cross_validation_0/test-*
- split: validation
path: ja_cross_validation_0/validation-*
- config_name: ja_cross_validation_1
data_files:
- split: train
path: ja_cross_validation_1/train-*
- split: test
path: ja_cross_validation_1/test-*
- split: validation
path: ja_cross_validation_1/validation-*
- config_name: ja_cross_validation_2
data_files:
- split: train
path: ja_cross_validation_2/train-*
- split: test
path: ja_cross_validation_2/test-*
- split: validation
path: ja_cross_validation_2/validation-*
- config_name: ja_cross_validation_3
data_files:
- split: train
path: ja_cross_validation_3/train-*
- split: test
path: ja_cross_validation_3/test-*
- split: validation
path: ja_cross_validation_3/validation-*
- config_name: ja_cross_validation_4
data_files:
- split: train
path: ja_cross_validation_4/train-*
- split: test
path: ja_cross_validation_4/test-*
- split: validation
path: ja_cross_validation_4/validation-*
- config_name: mix
data_files:
- split: train
path: mix/train-*
- split: validation
path: mix/validation-*
- config_name: mix_2022
data_files:
- split: train
path: mix_2022/train-*
- split: validation
path: mix_2022/validation-*
data_files:
- split: train_en
path: dataset/en/en_train.jsonl
language:
- en
- ja
- el
- es
license:
- other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
task_categories:
- text-classification
pretty_name: xtopic
dataset_info:
- config_name: en
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 74491
num_examples: 180
- name: test
num_bytes: 333760
num_examples: 800
- name: validation
num_bytes: 8111
num_examples: 20
download_size: 156123
dataset_size: 416362
- config_name: en_2022
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 4224939
num_examples: 10140
- name: validation
num_bytes: 467023
num_examples: 1127
download_size: 1733805
dataset_size: 4691962
- config_name: en_cross_validation_0
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 300078
num_examples: 720
- name: test
num_bytes: 83610
num_examples: 200
- name: validation
num_bytes: 32674
num_examples: 80
download_size: 156139
dataset_size: 416362
- config_name: en_cross_validation_1
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 299528
num_examples: 720
- name: test
num_bytes: 83721
num_examples: 200
- name: validation
num_bytes: 33113
num_examples: 80
download_size: 157259
dataset_size: 416362
- config_name: en_cross_validation_2
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 300161
num_examples: 720
- name: test
num_bytes: 82465
num_examples: 200
- name: validation
num_bytes: 33736
num_examples: 80
download_size: 157627
dataset_size: 416362
- config_name: en_cross_validation_3
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 299338
num_examples: 720
- name: test
num_bytes: 82588
num_examples: 200
- name: validation
num_bytes: 34436
num_examples: 80
download_size: 157302
dataset_size: 416362
- config_name: en_cross_validation_4
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 299227
num_examples: 720
- name: test
num_bytes: 83978
num_examples: 200
- name: validation
num_bytes: 33157
num_examples: 80
download_size: 156467
dataset_size: 416362
- config_name: es
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 71343
num_examples: 180
- name: test
num_bytes: 316777
num_examples: 800
- name: validation
num_bytes: 7947
num_examples: 20
download_size: 134590
dataset_size: 396067
- config_name: es_cross_validation_0
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 284832
num_examples: 720
- name: test
num_bytes: 78907
num_examples: 200
- name: validation
num_bytes: 32328
num_examples: 80
download_size: 135097
dataset_size: 396067
- config_name: es_cross_validation_1
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 288027
num_examples: 720
- name: test
num_bytes: 76196
num_examples: 200
- name: validation
num_bytes: 31844
num_examples: 80
download_size: 134736
dataset_size: 396067
- config_name: es_cross_validation_2
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 286389
num_examples: 720
- name: test
num_bytes: 79291
num_examples: 200
- name: validation
num_bytes: 30387
num_examples: 80
download_size: 135092
dataset_size: 396067
- config_name: es_cross_validation_3
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 285926
num_examples: 720
- name: test
num_bytes: 79652
num_examples: 200
- name: validation
num_bytes: 30489
num_examples: 80
download_size: 134724
dataset_size: 396067
- config_name: es_cross_validation_4
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 283267
num_examples: 720
- name: test
num_bytes: 82021
num_examples: 200
- name: validation
num_bytes: 30779
num_examples: 80
download_size: 135103
dataset_size: 396067
- config_name: gr
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 109551
num_examples: 180
- name: test
num_bytes: 489277
num_examples: 800
- name: validation
num_bytes: 12369
num_examples: 20
download_size: 193970
dataset_size: 611197
- config_name: gr_cross_validation_0
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 433988
num_examples: 720
- name: test
num_bytes: 127144
num_examples: 200
- name: validation
num_bytes: 50065
num_examples: 80
download_size: 193281
dataset_size: 611197
- config_name: gr_cross_validation_1
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 440376
num_examples: 720
- name: test
num_bytes: 121432
num_examples: 200
- name: validation
num_bytes: 49389
num_examples: 80
download_size: 192350
dataset_size: 611197
- config_name: gr_cross_validation_2
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 439664
num_examples: 720
- name: test
num_bytes: 123003
num_examples: 200
- name: validation
num_bytes: 48530
num_examples: 80
download_size: 192425
dataset_size: 611197
- config_name: gr_cross_validation_3
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 442091
num_examples: 720
- name: test
num_bytes: 119730
num_examples: 200
- name: validation
num_bytes: 49376
num_examples: 80
download_size: 193008
dataset_size: 611197
- config_name: gr_cross_validation_4
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 442882
num_examples: 720
- name: test
num_bytes: 119888
num_examples: 200
- name: validation
num_bytes: 48427
num_examples: 80
download_size: 192902
dataset_size: 611197
- config_name: ja
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 66198
num_examples: 180
- name: test
num_bytes: 294184
num_examples: 800
- name: validation
num_bytes: 7621
num_examples: 20
download_size: 129016
dataset_size: 368003
- config_name: ja_cross_validation_0
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 264807
num_examples: 720
- name: test
num_bytes: 73492
num_examples: 200
- name: validation
num_bytes: 29704
num_examples: 80
download_size: 129725
dataset_size: 368003
- config_name: ja_cross_validation_1
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 264528
num_examples: 720
- name: test
num_bytes: 73144
num_examples: 200
- name: validation
num_bytes: 30331
num_examples: 80
download_size: 129816
dataset_size: 368003
- config_name: ja_cross_validation_2
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 265599
num_examples: 720
- name: test
num_bytes: 72220
num_examples: 200
- name: validation
num_bytes: 30184
num_examples: 80
download_size: 129064
dataset_size: 368003
- config_name: ja_cross_validation_3
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 261667
num_examples: 720
- name: test
num_bytes: 75895
num_examples: 200
- name: validation
num_bytes: 30441
num_examples: 80
download_size: 129410
dataset_size: 368003
- config_name: ja_cross_validation_4
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 264397
num_examples: 720
- name: test
num_bytes: 73252
num_examples: 200
- name: validation
num_bytes: 30354
num_examples: 80
download_size: 129674
dataset_size: 368003
- config_name: mix
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 321583
num_examples: 720
- name: validation
num_bytes: 36048
num_examples: 80
download_size: 128524
dataset_size: 357631
- config_name: mix_2022
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label_name_flatten
dtype: string
- name: label
sequence:
class_label:
names:
'0': Arts & Culture
'1': Business & Entrepreneurs
'2': Celebrity & Pop Culture
'3': Diaries & Daily Life
'4': Family
'5': Fashion & Style
'6': Film, TV & Video
'7': Fitness & Health
'8': Food & Dining
'9': Learning & Educational
'10': News & Social Concern
'11': Relationships
'12': Science & Technology
'13': Youth & Student Life
'14': Music
'15': Gaming
'16': Sports
'17': Travel & Adventure
'18': Other Hobbies
- name: label_name
sequence: string
splits:
- name: train
num_bytes: 4546522
num_examples: 10860
- name: validation
num_bytes: 503071
num_examples: 1207
download_size: 1854400
dataset_size: 5049593
Dataset Card for "cardiffnlp/tweet_topic_multilingual"
Dataset Description
- Dataset: X-Topic
- Domain: X (Twitter)
- Number of Class: 19
Dataset Summary
This is the official repository of X-Topic (Multilingual Topic Classification in X: Dataset and Analysis, EMNLP 2024), a topic classification dataset based on X (formerly Twitter), featuring 19 topic labels.
The classification task is multi-label, with tweets available in four languages: English, Japanese, Spanish, and Greek.
The dataset comprises 4,000 tweets (1,000 per language), collected between September 2021 and August 2022.
The dataset uses the same taxonomy as TweetTopic.
Dataset Structure
Data Splits
The dataset includes the following splits:
- en: English
- es: Spanish
- ja: Japanese
- gr: Greek
- en_2022: English data from 2022 (TweetTopic)
- mix: Mixed-language data
- mix_2022: Mixed-language data including (TweetTopic) from 2022
- Cross-validation splits:
- en_cross_validation_0 to en_cross_validation_4: English cross-validation splits
- es_cross_validation_0 to es_cross_validation_4: Spanish cross-validation splits
- ja_cross_validation_0 to ja_cross_validation_4: Japanese cross-validation splits
- gr_cross_validation_0 to gr_cross_validation_4: Greek cross-validation splits
Data Instances
An example of train looks as follows.
{
"id": 1470030676816797696,
"text": "made a matcha latte, black tea and green juice until i break my fast at 1!! my body and skin are thanking me",
"label": [0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"label_name": ["Diaries & Daily Life", "Fitness & Health", "Food & Dining"],
"label_name_flatten": "Diaries & Daily Life, Fitness & Health, Food & Dining"
}
Labels
| 0: arts_&_culture | 5: fashion_&_style | 10: learning_&_educational | 15: science_&_technology |
|---|---|---|---|
| 1: business_&_entrepreneurs | 6: film_tv_&_video | 11: music | 16: sports |
| 2: celebrity_&_pop_culture | 7: fitness_&_health | 12: news_&_social_concern | 17: travel_&_adventure |
| 3: diaries_&_daily_life | 8: food_&_dining | 13: other_hobbies | 18: youth_&_student_life |
| 4: family | 9: gaming | 14: relationships |
Annotation instructions for English can be found here.
Citation Information
@inproceedings{antypas-etal-2024-multilingual,
title = "Multilingual Topic Classification in {X}: Dataset and Analysis",
author = "Antypas, Dimosthenis and
Ushio, Asahi and
Barbieri, Francesco and
Camacho-Collados, Jose",
editor = "Al-Onaizan, Yaser and
Bansal, Mohit and
Chen, Yun-Nung",
booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.emnlp-main.1123",
pages = "20136--20152",
abstract = "In the dynamic realm of social media, diverse topics are discussed daily, transcending linguistic boundaries. However, the complexities of understanding and categorising this content across various languages remain an important challenge with traditional techniques like topic modelling often struggling to accommodate this multilingual diversity. In this paper, we introduce X-Topic, a multilingual dataset featuring content in four distinct languages (English, Spanish, Japanese, and Greek), crafted for the purpose of tweet topic classification. Our dataset includes a wide range of topics, tailored for social media content, making it a valuable resource for scientists and professionals working on cross-linguistic analysis, the development of robust multilingual models, and computational scientists studying online dialogue. Finally, we leverage X-Topic to perform a comprehensive cross-linguistic and multilingual analysis, and compare the capabilities of current general- and domain-specific language models.",
}