README.md

---
language:
- ro
task_categories:
- tabular-classification
- tabular-regression
- table-to-text
- tabular-to-text
- text-classification
pretty_name: LegisLLM-RO
tags:
- legal
- finance
dataset_info:
- config_name: '11_1991_1440'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
    dtype: string
  - name: title
    dtype: string
  - name: port
    dtype: string
  - name: program
    dtype: string
  - name: point
    dtype: string
  splits:
  - name: train
    num_bytes: 8700
    num_examples: 9
  download_size: 13575
  dataset_size: 8700
- config_name: '129_1992_282567'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
    dtype: string
  - name: title
    dtype: string
  - name: port
    dtype: string
  - name: program
    dtype: string
  - name: point
    dtype: string
  splits:
  - name: train
    num_bytes: 68441
    num_examples: 56
  download_size: 37344
  dataset_size: 68441
- config_name: '134_2010_140271'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
    dtype: string
  - name: title
    dtype: string
  - name: port
    dtype: string
  - name: program
    dtype: string
  - name: point
    dtype: string
  splits:
  - name: train
    num_bytes: 1438498
    num_examples: 1143
  download_size: 425889
  dataset_size: 1438498
- config_name: '135_2010_282214'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
    dtype: string
  - name: title
    dtype: string
  - name: port
    dtype: string
  - name: program
    dtype: string
  - name: point
    dtype: string
  splits:
  - name: train
    num_bytes: 1499835
    num_examples: 640
  download_size: 406705
  dataset_size: 1499835
- config_name: '143_2000_23629'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
    dtype: string
  - name: title
    dtype: string
  - name: port
    dtype: string
  - name: program
    dtype: string
  - name: point
    dtype: string
  splits:
  - name: train
    num_bytes: 52676
    num_examples: 28
  download_size: 35030
  dataset_size: 52676
- config_name: '21_1991_1464'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
    dtype: string
  - name: title
    dtype: string
  - name: port
    dtype: string
  - name: program
    dtype: string
  - name: point
    dtype: string
  splits:
  - name: train
    num_bytes: 110954
    num_examples: 51
  download_size: 45854
  dataset_size: 110954
- config_name: '286_2009_109855'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
    dtype: string
  - name: title
    dtype: string
  - name: port
    dtype: string
  - name: program
    dtype: string
  - name: point
    dtype: string
  splits:
  - name: train
    num_bytes: 703453
    num_examples: 457
  download_size: 181719
  dataset_size: 703453
- config_name: '287_2009_282147'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
    dtype: string
  - name: title
    dtype: string
  - name: port
    dtype: string
  - name: program
    dtype: string
  - name: point
    dtype: string
  splits:
  - name: train
    num_bytes: 2722429
    num_examples: 2674
  download_size: 676571
  dataset_size: 2722429
- config_name: '31_1990_798'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
    dtype: string
  - name: title
    dtype: string
  - name: port
    dtype: string
  - name: program
    dtype: string
  - name: point
    dtype: string
  splits:
  - name: train
    num_bytes: 982224
    num_examples: 451
  download_size: 236628
  dataset_size: 982224
- config_name: '500_2002_37954'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
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  - name: title
    dtype: string
  - name: port
    dtype: string
  - name: program
    dtype: string
  - name: point
    dtype: string
  splits:
  - name: train
    num_bytes: 186639
    num_examples: 101
  download_size: 62724
  dataset_size: 186639
- config_name: '53_2003_268297'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
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  - name: title
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  - name: port
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  - name: program
    dtype: string
  - name: point
    dtype: string
  splits:
  - name: train
    num_bytes: 494632
    num_examples: 295
  download_size: 140820
  dataset_size: 494632
- config_name: '554_2004_57426'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
    dtype: string
  - name: title
    dtype: string
  - name: port
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  - name: program
    dtype: string
  - name: point
    dtype: string
  splits:
  - name: train
    num_bytes: 90171
    num_examples: 32
  download_size: 41750
  dataset_size: 90171
- config_name: '64_1991_1540'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
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  - name: title
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  - name: port
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  - name: program
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  - name: point
    dtype: string
  splits:
  - name: train
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    num_examples: 69
  download_size: 53853
  dataset_size: 111875
- config_name: '83_2014_159316'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
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  - name: paragraph
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  - name: part
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  - name: point
    dtype: string
  splits:
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    num_examples: 18
  download_size: 24835
  dataset_size: 24048
- config_name: '84_1998_14558'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
  - name: law_content_hints
    sequence: string
  - name: law_type
    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
  - name: content
    dtype: large_string
  - name: refs
    sequence: string
  - name: section
    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
  - name: paragraph
    dtype: string
  - name: part
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  - name: title
    dtype: string
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    dtype: string
  - name: point
    dtype: string
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  - name: train
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    num_examples: 121
  download_size: 72585
  dataset_size: 199047
- config_name: '8_1996_259087'
  features:
  - name: article_title
    dtype: string
  - name: article_number
    dtype: string
  - name: law_identifier
    dtype: string
  - name: law_start_date
    dtype: string
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    dtype: string
  - name: law_name
    dtype: string
  - name: law_url
    dtype: string
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    dtype: large_string
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    sequence: string
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    dtype: string
  - name: chapter
    dtype: string
  - name: book
    dtype: string
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    dtype: string
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  - name: point
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  - name: train
    num_bytes: 523734
    num_examples: 240
  download_size: 172052
  dataset_size: 523734
- config_name: default
  features:
  - name: key
    dtype: string
  - name: law_identificator
    dtype: string
  - name: law_name
    dtype: string
  - name: variant_document_id
    dtype: string
  - name: url
    dtype: string
  splits:
  - name: train
    num_bytes: 138070
    num_examples: 657
  download_size: 58631
  dataset_size: 138070
configs:
- config_name: '11_1991_1440'
  data_files:
  - split: train
    path: 11_1991_1440/train-*
- config_name: '129_1992_282567'
  data_files:
  - split: train
    path: 129_1992_282567/train-*
- config_name: '134_2010_140271'
  data_files:
  - split: train
    path: 134_2010_140271/train-*
- config_name: '135_2010_282214'
  data_files:
  - split: train
    path: 135_2010_282214/train-*
- config_name: '143_2000_23629'
  data_files:
  - split: train
    path: 143_2000_23629/train-*
- config_name: '21_1991_1464'
  data_files:
  - split: train
    path: 21_1991_1464/train-*
- config_name: '286_2009_109855'
  data_files:
  - split: train
    path: 286_2009_109855/train-*
- config_name: '287_2009_282147'
  data_files:
  - split: train
    path: 287_2009_282147/train-*
- config_name: '31_1990_798'
  data_files:
  - split: train
    path: 31_1990_798/train-*
- config_name: '500_2002_37954'
  data_files:
  - split: train
    path: 500_2002_37954/train-*
- config_name: '53_2003_268297'
  data_files:
  - split: train
    path: 53_2003_268297/train-*
- config_name: '554_2004_57426'
  data_files:
  - split: train
    path: 554_2004_57426/train-*
- config_name: '64_1991_1540'
  data_files:
  - split: train
    path: 64_1991_1540/train-*
- config_name: '83_2014_159316'
  data_files:
  - split: train
    path: 83_2014_159316/train-*
- config_name: '84_1998_14558'
  data_files:
  - split: train
    path: 84_1998_14558/train-*
- config_name: '8_1996_259087'
  data_files:
  - split: train
    path: 8_1996_259087/train-*
---

# Dataset Card for Dataset Name

LegisLLM-RO is a database containing structured data of the Romanian laws that are available on the public domain.

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

- **Curated by:** [@rennokki](https://huggingface.co/rennokki)
- **Funded by [optional]:** [@dalitics](https://huggingface.co/dalitics)
- **Shared by [optional]:** [Portalul Legislativ](https://legislatie.just.ro)
- **Language(s) (NLP):** Romanian
- **License:** No explicit license. The datasets are for informational-only purposes and they may not be up-to-date.

### Dataset Sources [optional]

- **Consiliul Legislativ Român:** <http://www.clr.ro/>
- **Portalul Legislativ:** <https://legislatie.just.ro>

## Uses

- Building datasets for NER, Entity Extraction, Summaries, Embeddings, etc.
- Pretraining
- Retrieval-Augumented Generation (RAG) tools
- Search databases with the latest, up-to-date data

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

[More Information Needed]

### Out-of-Scope Use

This dataset must not be used in situations that:

- can cause harm, damages to people, states (either it's Romania or not)
- are illegal, either in Romania or cross-border in other countries, the EU or outside the EU
- misleads the users into believing this data is 100% accurate down to the latest minute
- the user does not disclose that the data presented is from this dataset and that it might not be 100% accurate

[More Information Needed]

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

[More Information Needed]

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[More Information Needed]

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

[More Information Needed]

### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

[More Information Needed]

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

[More Information Needed]

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

[More Information Needed]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

[More Information Needed]

**APA:**

[More Information Needed]

## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

[More Information Needed]

## More Information [optional]

[More Information Needed]

## Dataset Card Authors [optional]

[More Information Needed]

## Dataset Card Contact

[More Information Needed]