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--- |
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dataset_info: |
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- config_name: constitution |
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features: |
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- name: article_n |
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dtype: int64 |
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- name: article_commas |
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struct: |
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splits: |
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num_bytes: 70944 |
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num_examples: 139 |
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num_bytes: 77000 |
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num_examples: 139 |
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- name: es |
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num_bytes: 76072 |
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num_examples: 139 |
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download_size: 225640 |
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dataset_size: 293765 |
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dtype: int64 |
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dtype: string |
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- name: decision |
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dtype: string |
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- name: maxims_text |
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dtype: string |
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- name: maxims_title |
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dtype: string |
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- name: full_text |
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dtype: string |
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- name: num_maxims |
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dtype: int64 |
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- name: maxims_len |
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dtype: int64 |
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- name: full_text_len |
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dtype: int64 |
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- name: constitutional_parameters |
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- name: maxims |
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num_examples: 700 |
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download_size: 278441383 |
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num_examples: 700 |
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features: |
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- name: id |
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dtype: string |
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- name: ruling_type |
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dtype: int64 |
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- name: epigraph |
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dtype: string |
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- name: body |
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dtype: string |
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- name: decision |
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dtype: string |
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dtype: string |
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dtype: string |
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- name: full_text |
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dtype: string |
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dtype: int64 |
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- name: maxims_len |
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dtype: int64 |
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- name: full_text_len |
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dtype: int64 |
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- name: judgment_type |
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dtype: int64 |
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- name: constitutional_parameters |
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num_examples: 700 |
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- name: validation |
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num_bytes: 31775341 |
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num_examples: 700 |
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download_size: 293523614 |
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dataset_size: 620178671 |
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configs: |
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- config_name: constitution |
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data_files: |
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- split: it |
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path: constitution/it-* |
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- split: en |
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path: constitution/en-* |
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- split: fr |
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path: constitution/fr-* |
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- split: es |
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path: constitution/es-* |
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- config_name: en |
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data_files: |
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- split: train |
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path: en/train-* |
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- split: test |
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path: en/test-* |
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- split: validation |
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path: en/validation-* |
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- config_name: es |
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data_files: |
|
- split: train |
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path: es/train-* |
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- split: test |
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path: es/test-* |
|
- split: validation |
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path: es/validation-* |
|
- config_name: fr |
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data_files: |
|
- split: train |
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path: fr/train-* |
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- split: test |
|
path: fr/test-* |
|
- split: validation |
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path: fr/validation-* |
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- config_name: it |
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data_files: |
|
- split: train |
|
path: it/train-* |
|
- split: test |
|
path: it/test-* |
|
- split: validation |
|
path: it/validation-* |
|
--- |
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|
|
### Dataset Summary |
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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. |
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|
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### Languages |
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Italian, English, Spanish, French |
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## Dataset |
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|
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### Data Fields |
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The dataset contains a list of instances (rulings); each instance contains the following data: |
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|
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| Field | Description | |
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|-------------------------: | ------------------------------------------------: | |
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| id | `(str)` The ruling ID | |
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| ruling_type | `(int)` The ruling type | |
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| epigraph | `(str)` The ruling epigraph | |
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| text | `(str)` The ruling text | |
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| decision | `(str)` The ruling decision | |
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| maxims_text | `(str)` The text of ruling maxims | |
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| maxims_title | `(str)` The title of ruling maxims | |
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| full_text | `(str)` The ruling full_text | |
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| num_maxims | `(int)` The number of maxims | |
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| maxims_len | `(int)` The length of maxims | |
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| full_text_len | `(int)` The length of the full text | |
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| judgment_type | `(int)` The judgment type | |
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| constitutional_parameters | `(List[List[str]])` The constitutional parameters | |
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| maxims | `(dict)` The maxims' numbers, texts, and titles | |
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|
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Please check the exemplar usage below for loading the data: |
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|
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```python |
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from datasets import load_dataset |
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|
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comma_en = load_dataset("disi-unibo-nlp/COMMA", "en") |
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# Download comma_en locally and load it as a Dataset object. |
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|
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example = comma_en["validation"][0] # The first instance of the dev set |
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example["full_text"] # The full text (i.e., epigraph + text + decision) for the ruling |
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|
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print(example['maxims_title']) # The corresponding maxims title for the ruling |
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``` |
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### Data Splits |
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|
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| IT | Instances | |
|
| ----------: | --------: | |
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| Train (90%) | 12,600 | |
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| Test (5%) | 700 | |
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| Dev (5%) | 700 | |
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|
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| EN | Instances | |
|
| ----------: | --------: | |
|
| Train (90%) | 12,600 | |
|
| Test (5%) | 700 | |
|
| Dev (5%) | 700 | |
|
|
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| ES | Instances | |
|
| ----------: | --------: | |
|
| Train (90%) | 12,600 | |
|
| Test (5%) | 700 | |
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| Dev (5%) | 700 | |
|
|
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| FR | Instances | |
|
| ----------: | --------: | |
|
| Train (90%) | 12,600 | |
|
| Test (5%) | 700 | |
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| Dev (5%) | 700 | |
|
|
|
|
