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_multi"
Dataset Description
- Paper: TBA
- Dataset: Tweet Topic Dataset
- Domain: Twitter
- Number of Class: 19
Dataset Summary
Topic classification dataset on Twitter with multiple labels per tweet. See cardiffnlp/tweet_topic_single for single label version of Tweet Topic.
Dataset Structure
Data Instances
An example of train
looks as follows.
{
"date": "2021-03-07",
"text": "The latest The Movie theater Daily! {{URL}} Thanks to {{USERNAME}} {{USERNAME}} {{USERNAME}} #lunchtimeread #amc1000",
"id": "1368464923370676231",
"label": [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"label_name": ["film_tv_&_video"]
}
Label ID
The label2id dictionary can be found at here.
{
"arts_&_culture": 0,
"business_&_entrepreneurs": 1,
"celebrity_&_pop_culture": 2,
"diaries_&_daily_life": 3,
"family": 4,
"fashion_&_style": 5,
"film_tv_&_video": 6,
"fitness_&_health": 7,
"food_&_dining": 8,
"gaming": 9,
"learning_&_educational": 10,
"music": 11,
"news_&_social_concern": 12,
"other_hobbies": 13,
"relationships": 14,
"science_&_technology": 15,
"sports": 16,
"travel_&_adventure": 17,
"youth_&_student_life": 18
}
Data Splits
split | number of texts | description |
---|---|---|
test |
1679 | alias of temporal_2021_test |
train |
4585 | alias of temporal_2020_train |
validation |
573 | alias of temporal_2020_validation |
temporal_2020_test |
573 | test set in 2020 period of temporal split |
temporal_2021_test |
1679 | test set in 2021 period of temporal split |
temporal_2020_train |
4585 | training set in 2020 period of temporal split |
temporal_2021_train |
1505 | training set in 2021 period of temporal split |
temporal_2020_validation |
573 | validation set in 2020 period of temporal split |
temporal_2021_validation |
188 | validation set in 2021 period of temporal split |
random_train |
4564 | training set of random split (mix of 2020 and 2021) |
random_validation |
573 | validation set of random split (mix of 2020 and 2021) |
coling2022_random_test |
5536 | test set of random split used in COLING 2022 Tweet Topic paper |
coling2022_random_train |
5731 | training set of random split used in COLING 2022 Tweet Topic paper |
coling2022_temporal_test |
5536 | test set of temporal split used in COLING 2022 Tweet Topic paper |
coling2022_temporal_train |
5731 | training set of temporal split used in COLING 2022 Tweet Topic paper |
For the temporal-shift setting, we recommend to train models on train
(an alias of temporal_2020_train
) with validation
(an alias of temporal_2020_validation
) and evaluate on test
(an alias of temporal_2021_test
).
For the random split, we recommend to train models on random_train
with random_validation
and evaluate on test
(temporal_2021_test
).
IMPORTANT NOTE: To get a result that is comparable with the results of the COLING 2022 Tweet Topic paper, please use coling2022_temporal_train
and coling2022_temporal_test
for temporal-shift, and coling2022_random_train
and coling2022_temporal_test
fir random split (the coling2022 split does not have validation set).
Citation Information
TBA