Update README.md

README.md

@@ -1,4 +1,16 @@
 ---
+language:
+- en
+license:
+- cc-by-nc-4.0
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- sentiment-classification
 dataset_info:
   features:
   - name: text
@@ -44,4 +56,35 @@ dataset_info:
 ---
 # Dataset Card for "tripadvisor-hotel-reviews"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## Dataset Description
+
+- **Homepage:** Kaggle Challenge
+- **Repository:** https://www.kaggle.com/datasets/andrewmvd/trip-advisor-hotel-reviews
+- **Paper:** https://zenodo.org/record/1219899
+- **Leaderboard:** N.A.
+- **Point of Contact:** N.A.
+
+### Dataset Summary
+
+Hotels play a crucial role in traveling and with the increased access to information new pathways of selecting the best ones emerged.
+With this dataset, consisting of 20k reviews crawled from Tripadvisor, you can explore what makes a great hotel and maybe even use this model in your travels!
+
+### Languages
+
+english 
+
+### Citation Information
+
+If you use this dataset in your research, please credit the authors.
+Citation
+
+Alam, M. H., Ryu, W.-J., Lee, S., 2016. Joint multi-grain topic sentiment: modeling semantic aspects for online reviews. Information Sciences 339, 206–223.
+DOI
+License
+
+CC BY NC 4.0
+Splash banner
+
+### Contributions
+
+Thanks to [@davidberenstein1957](https://github.com/davidberenstein1957) for adding this dataset.