Upload README.md

README.md

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-task_categories:
-- text-classification
-language:
-- ar
-size_categories:
-- 1K<n<10K
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+# Mawqif: A Multi-label Arabic Dataset for Target-specific Stance Detection
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+- This repository contains the data and classifier used in the paper titled "Mawqif: A Multi-label Arabic Dataset for Target-specific Stance Detection" accepted to appear at [WANLP](https://sites.google.com/view/wanlp2022/home?authuser=0), [EMNLP 2022](https://2022.emnlp.org) . **Link to the paper:** (https://preview.aclanthology.org/emnlp-22-ingestion/2022.wanlp-1.16/)
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+- *Mawqif* is the first Arabic dataset that can be used for target-specific stance detection. 
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+- This is a multi-label dataset where each data point is annotated for stance, sentiment, and sarcasm, which will provide a benchmark for the three tasks. It can also provide more opportunities for studying the interaction between different opinion dimensions and evaluating a multi-task model.
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+- We benchmark *Mawqif* dataset on the stance detection task and evaluate the performance of four BERT-based models. Our best model achieves a macro-F1 of 78.89\%, which shows that there is ample room for improvement on this challenging task.
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+- In addition to the annotated tweets, we also release the **annotation guidelines**, and the **code** used to build a standard pipeline under the [PyTorch Lightning](https://www.pytorchlightning.ai) framework to fine-tune BERT-based models for stance detection.
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+# Mawqif Statistics
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+- This dataset consists of 4,121 tweets in multi-dialectal Arabic. Each tweet is annotated with a stance toward one of three targets: “COVID-19 vaccine,” “digital transformation,” and “women empowerment.” In addition, it is annotated with sentiment and sarcasm polarities.
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+- The following figure illustrates the labels’ distribution across all targets, and the distribution per target.
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+<img width="738" alt="dataStat-2" src="https://user-images.githubusercontent.com/31368075/188299057-54d04e87-802d-4b0e-b7c6-56bdc1078284.png">
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+# Interactive Visualization
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+To browse an interactive visualization of the *Mawqif* dataset, please click [here](https://public.tableau.com/views/MawqifDatasetDashboard/Dashboard1?:language=en-US&publish=yes&:display_count=n&:origin=viz_share_link)
+- *You can click on visualization components to filter the data by target and by class. **For example,** you can click on “women empowerment" and "against" to get the information of tweets that express against women empowerment.* 
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+# Citation
+If you feel our paper and resources are useful, please consider citing our work!
+```
+TBA
+```