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--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: train_en |
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path: "dataset/en/en_train.jsonl" |
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language: |
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- en |
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- ja |
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- el |
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- es |
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license: |
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- other |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- text-classification |
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pretty_name: xtopic |
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--- |
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# Dataset Card for "cardiffnlp/tweet_topic_multilingual" |
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## Dataset Description |
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- **Dataset:** X-Topic |
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- **Domain:** X (Twitter) |
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- **Number of Class:** 19 |
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### Dataset Summary |
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This is the official repository of X-Topic ("Multilingual Topic Classification in X: Dataset and Analysis"), a topic classification dataset based on X (formerly Twitter), featuring 19 topic labels. |
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The classification task is multi-label, with tweets available in four languages: English, Japanese, Spanish, and Greek. |
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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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```python |
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{ |
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"id": 1470030676816797696, |
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"text": "made a matcha latte, black tea and green juice until i break my fast at 1!! my body and skin are thanking me", |
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"label": [0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], |
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"label_name": ["Diaries & Daily Life", "Fitness & Health", "Food & Dining"], |
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"label_name_flatten": "Diaries & Daily Life, Fitness & Health, Food & Dining" |
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} |
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``` |
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### Labels |
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| <span style="font-weight:normal">0: arts_&_culture</span> | <span style="font-weight:normal">5: fashion_&_style</span> | <span style="font-weight:normal">10: learning_&_educational</span> | <span style="font-weight:normal">15: science_&_technology</span> | |
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|-----------------------------|---------------------|----------------------------|--------------------------| |
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| 1: business_&_entrepreneurs | 6: film_tv_&_video | 11: music | 16: sports | |
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| 2: celebrity_&_pop_culture | 7: fitness_&_health | 12: news_&_social_concern | 17: travel_&_adventure | |
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| 3: diaries_&_daily_life | 8: food_&_dining | 13: other_hobbies | 18: youth_&_student_life | |
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| 4: family | 9: gaming | 14: relationships | | |
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Annotation instructions for English can be found [here](https://docs.google.com/document/d/1IaIXZYof3iCLLxyBdu_koNmjy--zqsuOmxQ2vOxYd_g/edit?usp=sharing). |
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## Citation Information |
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**TBA** |
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