Update README.md

README.md

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   download_size: 102225
   dataset_size: 170479
 ---
+# Dataset Name
+
+## Dataset Description
+
+This dataset is based on the task 1 of the Financial Sentiment Analysis in the Wild (FiQA) challenge. It follows the same settings as described in the paper 'A Baseline for Aspect-Based Sentiment Analysis in Financial Microblogs and News'. The dataset is split into three subsets: train, valid, test with sizes 822, 117, 234 respectively.
+
+## Dataset Structure
+
+- `_id`: ID of the data point
+- `sentence`: The sentence
+- `target`: The target of the sentiment
+- `aspect`: The aspect of the sentiment
+- `score`: The sentiment score
+- `type`: The type of the data point (headline or post)
+
+## Additional Information
+
+- Homepage: [FiQA Challenge](https://sites.google.com/view/fiqa/home)
+- Citation: [A Baseline for Aspect-Based Sentiment Analysis in Financial Microblogs and News](https://arxiv.org/pdf/2211.00083.pdf)