Datasets:
udpate judgement to judgment
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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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-
- name:
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dtype: string
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- name: docket_number
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dtype: string
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- name:
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dtype: string
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- name: publication_date
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dtype: string
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dtype: string
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- name: department_id
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dtype: string
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- name:
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dtype: string
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- name: presiding_judge
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dtype: string
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### Dataset Summary
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The dataset consists of Polish Court
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### Supported Tasks and Leaderboards
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| Feature name | Feature description | Type |
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|------------------|--------------------------------------------------------------------------------------------------|--------------------------------------------------|
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| _id | unique identifier of the
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| signature | signature of
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| date | date of
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| publicationDate | date of
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| lastUpdate | date of last update of
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| courtId | system unique identifier of the court | `int` or `None` |
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| departmentId | system unique identifier of the court's department | `int` or `None` |
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| type | type of the
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| excerpt | First 500 characters of the
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| content | Full content of
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| chairman | chairman judge name | `string` or `None` |
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| decision | decision | `string` or `None` |
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| judges | list of judge names participating in the
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| legalBases | legal acts which are bases for the
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| publisher | name of the person publishing the
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| recorder | name of the person recording the
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| reviser | name of the person revising the
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| themePhrases | list of phrases representing the themes/topics of the
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| num_pages | number of pages in the
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| text | full text of the
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| vol_number | volume number | `float` or `None` |
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| vol_type | type of volume | `string` or `None` |
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| court_name | name of the court where the
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| department_name | name of the department within the court where the
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| text_legal_bases | textual representation of the legal bases for the
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| thesis | thesis of the
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### Data Splits
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#### Initial Data Collection and Normalization
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1. Download
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1. Download
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1. Download additional details available for each
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1. Map id of courts and departments to court name.
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1. Extract raw text from XML content and details of judgments not available through API.
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1. For further processing prepare local dataset dump in parquet file, version it with dvc and push to remote storage.
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---
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dataset_info:
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features:
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- name: judgment_id
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dtype: string
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- name: docket_number
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dtype: string
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- name: judgment_date
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dtype: string
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- name: publication_date
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dtype: string
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dtype: string
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- name: department_id
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dtype: string
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- name: judgment_type
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dtype: string
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- name: presiding_judge
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dtype: string
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### Dataset Summary
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The dataset consists of Polish Court judgments available at https://orzeczenia.ms.gov.pl/, containing full content of the judgments along with metadata sourced from official API and extracted from the judgement contents. This dataset contains raw data. For instruction dataset see [`JuDDGES/pl-court-instruct`](https://huggingface.co/datasets/JuDDGES/pl-court-instruct). For graph dataset see [`JuDDGES/pl-court-graph`](https://huggingface.co/datasets/JuDDGES/pl-court-graph).
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### Supported Tasks and Leaderboards
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| Feature name | Feature description | Type |
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|------------------|--------------------------------------------------------------------------------------------------|--------------------------------------------------|
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| _id | unique identifier of the judgment | `string` or `None` |
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| signature | signature of judgment (unique within court) | `string` or `None` |
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| date | date of judgment | `datetime` (ISO format with timezone) or `None` |
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| publicationDate | date of judgment publication | `datetime` (ISO format with timezone) or `None` |
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| lastUpdate | date of last update of judgment | `datetime` (ISO format with timezone) or `None` |
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| courtId | system unique identifier of the court | `int` or `None` |
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| departmentId | system unique identifier of the court's department | `int` or `None` |
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| type | type of the judgment (one of ) | `string` or `None` |
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| excerpt | First 500 characters of the judgment | `string` or `None` |
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| content | Full content of judgment in XML format | `string` or `None` |
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| chairman | chairman judge name | `string` or `None` |
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| decision | decision | `string` or `None` |
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| judges | list of judge names participating in the judgment | `list[string]` or `None` |
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| legalBases | legal acts which are bases for the judgment | `list[dict[str, str]]` or `None` |
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| publisher | name of the person publishing the judgment | `string` or `None` |
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| recorder | name of the person recording the judgment | `string` or `None` |
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| reviser | name of the person revising the judgment | `string` or `None` |
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| themePhrases | list of phrases representing the themes/topics of the judgment | `list[string]` or `None` |
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| num_pages | number of pages in the judgment | `float` or `None` |
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| text | full text of the judgment | `string` or `None` |
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| vol_number | volume number | `float` or `None` |
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| vol_type | type of volume | `string` or `None` |
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| court_name | name of the court where the judgment was made | `string` or `None` |
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| department_name | name of the department within the court where the judgment was made | `string` or `None` |
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| text_legal_bases | textual representation of the legal bases for the judgment (with references to online repository | `list[dict[str, str]]` or `None` |
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| thesis | thesis of the judgment | `string` or `None` |
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### Data Splits
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#### Initial Data Collection and Normalization
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1. Download judgments metadata.
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1. Download judgments text (XML content of judgments).
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1. Download additional details available for each judgment.
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1. Map id of courts and departments to court name.
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1. Extract raw text from XML content and details of judgments not available through API.
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1. For further processing prepare local dataset dump in parquet file, version it with dvc and push to remote storage.
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