Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
1k<10K
ArXiv:
Tags:
License:
init
Browse files
README.md
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### Dataset Summary
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Topic classification dataset on Twitter with single label per tweet.
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- Label Types: `arts_&_culture`, `business_&_entrepreneurs`, `pop_culture`, `daily_life`, `sports_&_gaming`, `science_&_technology`
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## Dataset Structure
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"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!",
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"date": "2019-09-08",
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"label": 4,
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"id": 1170606779568463874,
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"label_name": "sports_&_gaming"
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}
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```
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### Data Splits
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### Citation Information
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### Dataset Summary
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Topic classification dataset on Twitter with single label per tweet.
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## Dataset Structure
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"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!",
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"date": "2019-09-08",
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"label": 4,
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"id": "1170606779568463874",
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"label_name": "sports_&_gaming"
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}
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```
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### Data Splits
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| split | number of texts |
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|:--------------------------|-----:|
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| test | 1679 |
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| train | 1505 |
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| validation | 188 |
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| temporal_2020_test | 573 |
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| temporal_2021_test | 1679 |
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| temporal_2020_train | 4585 |
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| temporal_2021_train | 1505 |
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| temporal_2020_validation | 573 |
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| temporal_2021_validation | 188 |
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| random_train | 4564 |
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| random_validation | 573 |
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| coling2022_random_test | 5536 |
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| coling2022_random_train | 5731 |
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| coling2022_temporal_test | 5536 |
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| coling2022_temporal_train | 5731 |
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### Citation Information
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