Update README.md

README.md

@@ -1,16 +1,43 @@
+---
+license: cc-by-4.0
+language:
+- en
+dataset_info:
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 856872
+    num_examples: 10003
+  - name: test
+    num_bytes: 247690
+    num_examples: 3080
+  download_size: 384208
+  dataset_size: 1104562
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+task_categories:
+- text-classification
+tags:
+- finance
+---
+
 # Bankin10
 Banking10 Dataset
 
 ## Overview
-This dataset is a modified version of the original Banking77 dataset created by PolyAI. While the original dataset contains 77 fine-grained banking intents for customer service queries, this version provides a higher-level categorization by grouping these intents into 9 macro-categories.
-
-## Original Dataset
-The Banking77 dataset was created to help train and evaluate banking customer service dialogue systems. It contains 13,083 customer service queries labelled with 77 different intents. 
-The original dataset focuses on fine-grained intent detection with clusters of semantically similar intents but differ in their banking-specific resolution.
-
-## Modifications
-We have regrouped the 77 original intents into 10 broader categories to facilitate higher-level categories classification:
+This dataset is a modified version of the original [Banking77](https://huggingface.co/datasets/PolyAI/banking77) dataset created by PolyAI. 
+While the original dataset contains 77 fine-grained banking intents for customer service queries, this version provides a higher-level categorization by grouping these intents into 10 macro-categories.
 
+## Labels
 ### CARD_MANAGEMENT
 - Card ordering, activation, and delivery
 - Lost, stolen, or malfunctioning cards
@@ -65,53 +92,3 @@ We have regrouped the 77 original intents into 10 broader categories to facilita
 - Currency support
 - Country restrictions
 - Payment method support
-
-
-## Dataset Structure
-The dataset maintains the same structure as the original Banking77:
-
-Training set: 10,003 examples
-Test set: 3,080 examples
-
-The only difference is in the label space, which has been reduced from 77 to 10 categories.
-
-## Citation
-If you use this dataset, please cite the original Banking77 dataset:
-Copy@article{banking77,
-  title={Banking77 - A Fine-Grained Banking Customer Service Dataset},
-  author={Paul, S. and Ganchev, H. and Henderson, M.},
-  journal={arXiv preprint arXiv:2003.04807},
-  year={2020}
-}
-
-## License
-This dataset follows the same license as the original Banking77 dataset.
-
-
-## Acknowledgments
-We thank PolyAI for creating and sharing the original Banking77 dataset. This modified version aims to provide an alternative perspective on the data by offering a more consolidated view of banking intents.
-
----
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 856872
-    num_examples: 10003
-  - name: test
-    num_bytes: 247690
-    num_examples: 3080
-  download_size: 384208
-  dataset_size: 1104562
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
----