metadata

configs:
  - config_name: default
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 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"), 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.

Data Splits

Dataset Structure

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

TBA