---
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configs:
- config_name: constitution
  data_files:
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    path: constitution/it-*
  - split: en
    path: constitution/en-*
  - split: fr
    path: constitution/fr-*
  - split: es
    path: constitution/es-*
- config_name: en
  data_files:
  - split: train
    path: en/train-*
  - split: test
    path: en/test-*
  - split: validation
    path: en/validation-*
- config_name: es
  data_files:
  - split: train
    path: es/train-*
  - split: test
    path: es/test-*
  - split: validation
    path: es/validation-*
- config_name: fr
  data_files:
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    path: fr/train-*
  - split: test
    path: fr/test-*
  - split: validation
    path: fr/validation-*
- config_name: it
  data_files:
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    path: it/train-*
  - split: test
    path: it/test-*
  - split: validation
    path: it/validation-*
---

### 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.

### 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 |