metadata

language:
  - en
license:
  - other
multilinguality:
  - monolingual
size_categories:
  - 1k<10K
task_categories:
  - text-classification
task_ids:
  - sentiment-classification
pretty_name: TweetTopicSingle

Dataset Card for "cardiff_nlp/tweet_topic_single"

Dataset Description

Paper: TBA
Dataset: Tweet Topic Dataset
Domain: Twitter
Number of Class: 6

Dataset Summary

Topic classification dataset on Twitter with single label per tweet.

Dataset Structure

Data Instances

An example of train looks as follows.

{
    "text": "Game day for {{USERNAME}} U18\u2019s against {{USERNAME}} U18\u2019s. Even though it\u2019s a \u2018home\u2019 game for the people that have settled in Mid Wales it\u2019s still a 4 hour round trip for us up to Colwyn Bay. Still enjoy it though!",
    "date": "2019-09-08",
    "label": 4,
    "id": "1170606779568463874",
    "label_name": "sports_&_gaming"
}

Label ID

The label2id dictionary can be found at here.

{
    "arts_&_culture": 0,
    "business_&_entrepreneurs": 1,
    "pop_culture": 2,
    "daily_life": 3,
    "sports_&_gaming": 4,
    "science_&_technology": 5
}

Data Splits

split	number of texts
test	1679
train	1505
validation	188
temporal_2020_test	573
temporal_2021_test	1679
temporal_2020_train	4585
temporal_2021_train	1505
temporal_2020_validation	573
temporal_2021_validation	188
random_train	4564
random_validation	573
coling2022_random_test	5536
coling2022_random_train	5731
coling2022_temporal_test	5536
coling2022_temporal_train	5731

Citation Information

TBA