Update README.md

README.md

@@ -1,21 +1,34 @@
 ---
 dataset_info:
+  name: semeval2016-full-absa-reviews-english-translated-resampled
+  description: >
+    This dataset contains annotated data for aspect-based sentiment analysis.
+    Each example consists of a sentence, its corresponding aspect, sentiment,
+    and additional text for context. The dataset is split into train and test sets.
+  citation: >
+    Used eastwind/semeval-2016-absa-reviews-english-translated-resampled, which is derived from eastwind/semeval-2016-absa-reviews-english-translated-stanford-alpaca, by upsampling the neutral class and then resampling 3k examples from each class. The represented dataset is a result of summarization of the aspects and sentiments per equal sentence. In addition a textual representation is added for training purpose. 
   features:
   - name: sentence
     dtype: string
+    description: "The main text of the sentence."
   - name: aspect
     dtype: string
+    description: "The aspect targeted by the sentiment."
   - name: sentiment
     dtype: string
+    description: "The sentiment expressed towards the aspect."
   - name: text
     dtype: string
+    description: "A textual representation of the dataset for training."
   splits:
   - name: train
     num_bytes: 1673969
     num_examples: 3759
+    description: "Training examples."
   - name: test
     num_bytes: 475590
     num_examples: 1056
+    description: "Testing examples."
   download_size: 990515
   dataset_size: 2149559
 configs: