Create README.md

README.md

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+---
+language:
+- en
+- ja
+- el
+- es
+license:
+- other
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+task_categories:
+- text-classification
+pretty_name: xtopic
+---
+
+# Dataset Card for "cardiffnlp/tweet_topic_multilingual"
+
+## Dataset Description
+- **Dataset:** X-Topic
+- **Domain:** X (Twitter)
+- **Number of Class:** 19
+
+
+### Dataset Summary
+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.
+
+The classification task is multi-label, with tweets available in four languages: English, Japanese, Spanish, and Greek.
+
+The dataset comprises 4,000 tweets (1,000 per language), collected between September 2021 and August 2022.
+
+
+### Data Splits
+
+
+
+## Dataset Structure
+
+### Data Instances
+An example of `train` looks as follows.
+
+```python
+{
+  "id": 1470030676816797696,
+  "text": "made a matcha latte, black tea and green juice until i break my fast at 1!! my body and skin are thanking me",
+  "label": [0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+  "label_name": ["Diaries & Daily Life", "Fitness & Health", "Food & Dining"],
+  "label_name_flatten": "Diaries & Daily Life, Fitness & Health, Food & Dining"
+}
+```
+
+### Labels
+| <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>  |
+|-----------------------------|---------------------|----------------------------|--------------------------|
+| 1: business_&_entrepreneurs | 6: film_tv_&_video  | 11: music              	| 16: sports           	|
+| 2: celebrity_&_pop_culture  | 7: fitness_&_health | 12: news_&_social_concern  | 17: travel_&_adventure   |
+| 3: diaries_&_daily_life 	| 8: food_&_dining	| 13: other_hobbies      	| 18: youth_&_student_life |
+| 4: family               	| 9: gaming       	| 14: relationships      	|                      	|
+
+Annotation instructions for English can be found [here](https://docs.google.com/document/d/1IaIXZYof3iCLLxyBdu_koNmjy--zqsuOmxQ2vOxYd_g/edit?usp=sharing).
+
+
+
+## Citation Information
+**TBA**