Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
topic-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Add eval config
Browse files
eval.yaml
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name: TweetTopicSingleClassification
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description: Topic classification dataset on Twitter with 6 labels. Each instance
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of TweetTopic comes with a timestamp which distributes from September 2019 to August
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2021. Tweets were preprocessed before the annotation to normalize some artifacts,
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converting URLs into a special token {{URL}} and non-verified usernames into {{USERNAME}}.
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For verified usernames, we replace its display name (or account name) with symbols
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{@}.
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evaluation_framework: mteb
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tasks:
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- id: TweetTopicSingleClassification
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- id: TweetTopicSingleClassification_default_test_2021
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config: default
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split: test_2021
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