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README.md
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---
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dataset_info:
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features:
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dtype: int64
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- name: judgment_type
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dtype: int64
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- name: maxims
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dataset_size: 617554457
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features:
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dtype: string
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- name: ruling_type
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dtype: int64
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dtype: int64
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dtype: int64
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num_bytes: 31896832
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num_examples: 700
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- name: validation
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num_bytes:
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num_examples:
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download_size: 300803577
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dataset_size: 640404381
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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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dtype: string
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- name: body
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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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dtype: int64
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dtype: int64
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dtype: string
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splits:
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num_bytes: 580985816
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num_examples: 12600
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num_bytes:
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num_examples:
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num_examples: 700
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download_size: 306338176
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dataset_size: 646316134
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- config_name: it
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features:
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- name: id
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- name: judgment_type
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dtype: int64
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- name: constitutional_parameters
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- name: maxims
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splits:
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- name: train
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num_examples: 12600
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num_examples: 700
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download_size:
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dataset_size:
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configs:
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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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path: en/test-*
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path: en/validation-*
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- config_name: es
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data_files:
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path: es/train-*
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path: es/test-*
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path: es/validation-*
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- config_name: fr
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data_files:
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path: fr/train-*
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path:
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path: fr/validation-*
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- config_name: it
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data_files:
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- split: train
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path: it/train-*
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path: it/test-*
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- split: validation
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path: it/validation-*
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---
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---
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+
language:
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- it
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- en
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- es
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- fr
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size_categories:
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- 10K<n<100K
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dataset_info:
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- config_name: en
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features:
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dtype: int64
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- name: epigraph
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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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- name: judgment_type
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dtype: int64
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- name: constitutional_parameters
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sequence:
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sequence: string
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- name: maxims
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struct:
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- name: numbers
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sequence: float64
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- name: texts
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sequence: string
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- name: titles
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sequence: string
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- name: body
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dtype: string
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splits:
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- name: train
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num_bytes: 2261057820
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num_examples: 50400
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- name: validation
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num_bytes: 128951061
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num_examples: 2800
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- name: test
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num_bytes: 125202513
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num_examples: 2800
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download_size: 1180085450
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dataset_size: 2515211394
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- config_name: it
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features:
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- name: id
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- name: judgment_type
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dtype: int64
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- name: constitutional_parameters
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sequence:
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sequence: string
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- name: maxims
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struct:
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- name: texts
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sequence: string
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- name: titles
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sequence: string
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- name: numbers
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sequence: float64
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splits:
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- name: train
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num_bytes: 555460844
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num_examples: 12600
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- name: validation
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num_bytes: 31655527
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num_examples: 700
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- name: test
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num_bytes: 30734422
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num_examples: 700
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download_size: 293892604
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dataset_size: 617850793
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configs:
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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: validation
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path: en/validation-*
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- split: test
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path: en/test-*
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- config_name: it
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data_files:
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- split: train
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path: it/train-*
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- split: validation
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path: it/validation-*
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- split: test
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path: it/test-*
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---
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# Dataset Card for Dataset Name
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+
## Table of Contents
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- [Dataset Card for COMMA](#dataset-card-for-comma)
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Languages](#languages)
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- [Dataset](#dataset)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Sheet (Datasheet)](#dataset-sheet-datasheet)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Release History](#release-history)
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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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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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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Italian, English, Spanish, French
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## Dataset
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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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| 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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Please check the exemplar usage below for loading the data:
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```python
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from datasets import load_dataset
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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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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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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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| IT | Instances |
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| ----------: | --------: |
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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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| EN | Instances |
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| ----------: | --------: |
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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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| ES | Instances |
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| ----------: | --------: |
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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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| FR | Instances |
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| ----------: | --------: |
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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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## Dataset Creation
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+
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### Curation Rationale
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[More Information Needed]
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+
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### Source Data
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+
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#### Initial Data Collection and Normalization
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+
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+
[More Information Needed]
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+
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#### Who are the source language producers?
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+
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[More Information Needed]
|
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+
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### Annotations
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244 |
+
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#### Annotation process
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246 |
+
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+
[More Information Needed]
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248 |
+
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#### Who are the annotators?
|
250 |
+
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+
[More Information Needed]
|
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+
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### Personal and Sensitive Information
|
254 |
+
|
255 |
+
[More Information Needed]
|
256 |
+
|
257 |
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## Considerations for Using the Data
|
258 |
+
|
259 |
+
### Social Impact of Dataset
|
260 |
+
|
261 |
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[More Information Needed]
|
262 |
+
|
263 |
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### Discussion of Biases
|
264 |
+
|
265 |
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[More Information Needed]
|
266 |
+
|
267 |
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### Other Known Limitations
|
268 |
+
|
269 |
+
[More Information Needed]
|
270 |
+
|
271 |
+
## Additional Information
|
272 |
+
|
273 |
+
### Dataset Curators
|
274 |
+
|
275 |
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[More Information Needed]
|
276 |
+
|
277 |
+
### Licensing Information
|
278 |
+
|
279 |
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[More Information Needed]
|
280 |
+
|
281 |
+
### Citation Information
|
282 |
+
|
283 |
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[More Information Needed]
|