Update README.md

README.md

@@ -201,4 +201,105 @@ configs:
     path: it/test-*
   - split: validation
     path: it/validation-*
----
+---
+
+# Dataset Card for Dataset Name
+## Table of Contents
+- [Dataset Card for COMMA](#dataset-card-for-comma)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Languages](#languages)
+  - [Dataset](#dataset)
+    - [Data Fields](#data-fields)
+    - [Data Splits](#data-splits)
+  - [Dataset Sheet (Datasheet)](#dataset-sheet-datasheet)
+  - [Additional Information](#additional-information)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+  - [Release History](#release-history)
+
+
+## Dataset Description
+
+- **Homepage:** 
+- **Repository:** 
+- **Paper:** 
+- **Leaderboard:** 
+- **Point of Contact:** 
+
+### Dataset Summary
+COMMA is a constitutional multi-task and multi-lingual archive consisting of 14K CCIR rulings with expert-authored annotations. It embodies distinctive features that render it a valuable object of study for broader NLP research.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+Italian, English, Spanish, French
+
+
+## Dataset
+
+### Data Fields
+
+The dataset contains a list of instances (rulings); each instance contains the following data: 
+
+|                     Field |                                       Description |
+|-------------------------: | ------------------------------------------------: |
+|                        id |                             `(str)` The ruling ID |
+|               ruling_type |                           `(int)` The ruling type |
+|                  epigraph |                       `(str)` The ruling epigraph |
+|                      text |                           `(str)` The ruling text |
+|                  decision |                       `(str)` The ruling decision |
+|               maxims_text |                 `(str)` The text of ruling maxims |
+|              maxims_title |                `(str)` The title of ruling maxims |
+|                 full_text |                      `(str)` The ruling full_text |
+|                num_maxims |                      `(int)` The number of maxims |
+|                maxims_len |                      `(int)` The length of maxims |
+|             full_text_len |               `(int)` The length of the full text |
+|             judgment_type |                         `(int)` The judgment type |
+| constitutional_parameters | `(List[List[str]])` The constitutional parameters |
+|                    maxims |  `(dict)` The maxims' numbers, texts, and titles  |
+
+Please check the exemplar usage below for loading the data: 
+
+```python
+from datasets import load_dataset
+
+comma_en = load_dataset("disi-unibo-nlp/COMMA", "en")
+# Download comma_en locally and load it as a Dataset object.
+
+example = comma_en["validation"][0]  # The first instance of the dev set 
+example["full_text"]  # The full text (i.e., epigraph + text + decision) for the ruling
+
+print(example['maxims_title'])  # The corresponding maxims title for the ruling 
+```
+
+### Data Splits
+
+|          IT | Instances | 
+| ----------: | --------: | 
+| Train (90%) |    12,600 |               
+|   Test (5%) |       700 |               
+|    Dev (5%) |       700 |
+
+|          EN | Instances | 
+| ----------: | --------: | 
+| Train (90%) |    12,600 |               
+|   Test (5%) |       700 |               
+|    Dev (5%) |       700 |
+
+|          ES | Instances | 
+| ----------: | --------: | 
+| Train (90%) |    12,600 |               
+|   Test (5%) |       700 |               
+|    Dev (5%) |       700 |
+
+|          FR | Instances | 
+| ----------: | --------: | 
+| Train (90%) |    12,600 |               
+|   Test (5%) |       700 |               
+|    Dev (5%) |       700 |
+