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README.md
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@@ -35,12 +35,28 @@ The classification task is multi-label, with tweets available in four languages:
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The dataset comprises 4,000 tweets (1,000 per language), collected between September 2021 and August 2022.
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### Data Splits
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## Dataset Structure
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### Data Instances
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An example of `train` looks as follows.
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The dataset comprises 4,000 tweets (1,000 per language), collected between September 2021 and August 2022.
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The dataset uses the same taxonomy as [TweetTopic](https://huggingface.co/datasets/cardiffnlp/tweet_topic_multi).
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## Dataset Structure
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### Data Splits
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The dataset includes the following splits:
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- **en**: English
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- **es**: Spanish
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- **ja**: Japanese
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- **gr**: Greek
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- **en_2022**: English data from 2022 (TweetTopic)
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- **mix**: Mixed-language data
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- **mix_2022**: Mixed-language data including (TweetTopic) from 2022
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- **Cross-validation splits:**
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- **en_cross_validation_0** to **en_cross_validation_4**: English cross-validation splits
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- **es_cross_validation_0** to **es_cross_validation_4**: Spanish cross-validation splits
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- **ja_cross_validation_0** to **ja_cross_validation_4**: Japanese cross-validation splits
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- **gr_cross_validation_0** to **gr_cross_validation_4**: Greek cross-validation splits
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### Data Instances
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An example of `train` looks as follows.
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