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--- |
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language: pl |
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multilinguality: monolingual |
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size_categories: 100K<n<1M |
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source_datasets: |
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- original |
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pretty_name: Polish Court Judgments Raw |
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tags: |
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- polish court |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train_*.parquet |
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dataset_info: |
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features: |
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- name: source |
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dtype: large_string |
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- name: judgment_id |
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dtype: large_string |
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- name: docket_number |
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dtype: large_string |
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- name: judgment_date |
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dtype: timestamp[us] |
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- name: publication_date |
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dtype: timestamp[us] |
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- name: last_update |
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dtype: timestamp[us] |
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- name: court_id |
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dtype: large_string |
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- name: department_id |
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dtype: large_string |
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- name: judgment_type |
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dtype: large_string |
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- name: excerpt |
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dtype: large_string |
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- name: xml_content |
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dtype: large_string |
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- name: presiding_judge |
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dtype: large_string |
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- name: decision |
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dtype: 'null' |
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- name: judges |
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large_list: large_string |
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- name: legal_bases |
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large_list: large_string |
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- name: publisher |
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dtype: large_string |
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- name: recorder |
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dtype: large_string |
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- name: reviser |
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dtype: large_string |
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- name: keywords |
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large_list: large_string |
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- name: num_pages |
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dtype: int64 |
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- name: full_text |
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dtype: large_string |
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- name: volume_number |
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dtype: int64 |
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- name: volume_type |
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dtype: large_string |
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- name: court_name |
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dtype: large_string |
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- name: department_name |
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dtype: large_string |
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- name: extracted_legal_bases |
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large_list: |
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- name: address |
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dtype: large_string |
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- name: art |
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dtype: large_string |
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- name: isap_id |
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dtype: large_string |
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- name: text |
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dtype: large_string |
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- name: title |
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dtype: large_string |
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- name: references |
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large_list: large_string |
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- name: thesis |
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dtype: large_string |
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- name: country |
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dtype: large_string |
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- name: court_type |
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dtype: large_string |
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config_name: default |
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splits: |
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- name: train |
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num_bytes: 25682589828 |
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num_examples: 437450 |
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download_size: 9217840711 |
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dataset_size: 25682589828 |
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--- |
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# Dataset Card for [JuDDGES/pl-court-raw](https://huggingface.co/datasets/JuDDGES/pl-court-raw) |
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## Table of Contents |
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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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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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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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- [Contributions](#contributions) |
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- [Statistics](#statistics) |
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## Dataset Description |
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* **Homepage: TBA** |
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* **Repository: https://github.com/pwr-ai/JuDDGES** |
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* **Paper: TBA** |
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* **Point of Contact: [email protected]; [email protected]; [email protected]** |
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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 judgment 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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The dataset can be used for various tasks. However, it contains raw data acquired from official API, and we rather recommend using instruction dataset [`JuDDGES/pl-court-instruct`](https://huggingface.co/datasets/JuDDGES/pl-court-instruct) for straightforward usage. |
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### Languages |
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pl-PL Polish |
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## Dataset Structure |
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### Data Fields |
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| Field | Description | Type | |
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|:----------------------|:--------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------| |
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| source | Source of the data, can be one of: [pl-court, nsa] | String | |
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| judgment_id | unique identifier of the judgment | String | |
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| docket_number | signature of judgment (unique within court) | String | |
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| judgment_date | date of judgment | Datetime(time_unit='us', time_zone=None) | |
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| publication_date | date of judgment publication | Datetime(time_unit='us', time_zone=None) | |
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| last_update | date of last update of judgment | Datetime(time_unit='us', time_zone=None) | |
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| court_id | system unique identifier of the court | String | |
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| department_id | system unique identifier of the court's department | String | |
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| judgment_type | type of the judgment (one of) | String | |
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| excerpt | First 500 characters of the judgment | String | |
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| xml_content | Full content of judgment in XML format | String | |
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| presiding_judge | chairman judge name | String | |
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| decision | decision | Null | |
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| judges | list of judge names participating in the judgment | List(String) | |
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| legal_bases | legal acts which are bases for the judgment | List(String) | |
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| publisher | name of the person publishing the judgment | String | |
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| recorder | name of the person recording the judgment | String | |
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| reviser | name of the person revising the judgment | String | |
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| keywords | list of phrases representing the themes/topics of the judgment | List(String) | |
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| num_pages | number of pages in the judgment | Int64 | |
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| full_text | full text of the judgment | String | |
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| volume_number | volume number | Int64 | |
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| volume_type | type of volume | String | |
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| court_name | name of the court where the judgment was made | String | |
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| department_name | name of the department within the court where the judgment was made | String | |
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| extracted_legal_bases | textual representation of the legal bases for the judgment (with references to online repository) | List(Struct({'address': String, 'art': String, 'isap_id': String, 'text': String, 'title': String})) | |
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| references | Plain-text references to legal acts | List(String) | |
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| thesis | thesis of the judgment | String | |
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| country | the country of origin of the judgment (one of [Poland, England]) | String | |
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| court_type | type of the court (one of ['ordinary court', 'administrative court', 'crown court']) | String | |
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### Data Splits |
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This dataset is not split into subsets. The dataset has only `train` split. |
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## Dataset Creation |
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For details on the dataset creation, see the paper [TBA]() and the code repository [here](https://github.com/pwr-ai/JuDDGES). |
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### Curation Rationale |
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Created to enable cross-jurisdictional legal analytics. |
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### Source Data |
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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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#### Who are the source language producers? |
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Produced by human legal professionals (judges, court clerks). Demographics was not analysed. Sourced from public court databases. |
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### Annotations |
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#### Annotation process |
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No annotation was performed by us. All features were provided via API (anonymization and publication of the data were performed by court employees). |
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#### Who are the annotators? |
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As above. |
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### Personal and Sensitive Information |
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Pseudoanonymized to comply with GDPR (art. 4 sec. 5 GDPR). |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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We license the actual packaging of these data under Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ |
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### Citation Information |
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TBA |
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# Statistics |
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### Dataset size |
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Dataset size: **437_450 examples** |
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### Missing values |
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| Field name | Null count | Null fraction | |
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|:----------------------|-------------:|----------------:| |
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| source | 0 | 0 | |
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| judgment_id | 0 | 0 | |
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| docket_number | 0 | 0 | |
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| judgment_date | 0 | 0 | |
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| publication_date | 0 | 0 | |
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| last_update | 0 | 0 | |
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| court_id | 0 | 0 | |
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| department_id | 0 | 0 | |
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| judgment_type | 0 | 0 | |
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| excerpt | 0 | 0 | |
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| xml_content | 75 | 0 | |
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| presiding_judge | 51513 | 0.12 | |
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| decision | 437450 | 1 | |
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| judges | 43335 | 0.1 | |
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| legal_bases | 123934 | 0.28 | |
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| publisher | 629 | 0 | |
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| recorder | 113551 | 0.26 | |
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| reviser | 182 | 0 | |
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| keywords | 127508 | 0.29 | |
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| num_pages | 0 | 0 | |
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| full_text | 0 | 0 | |
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| volume_number | 0 | 0 | |
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| volume_type | 0 | 0 | |
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| court_name | 1491 | 0 | |
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| department_name | 1491 | 0 | |
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| extracted_legal_bases | 0 | 0 | |
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| references | 43735 | 0.1 | |
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| thesis | 395756 | 0.9 | |
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| country | 0 | 0 | |
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| court_type | 0 | 0 | |
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### Analysis of selected fields |
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