

![INESC-ID](https://www.inesc-id.pt/wp-content/uploads/2019/06/INESC-ID-logo_01.png)
![A Semantic Search System for Supremo Tribunal de Justiça](https://rufimelo99.github.io/SemanticSearchSystemForSTJ/_static/logo.png)

Work developed as part of [Project IRIS](https://www.inesc-id.pt/projects/PR07005/).

Thesis: [A Semantic Search System for Supremo Tribunal de Justiça](https://rufimelo99.github.io/SemanticSearchSystemForSTJ/)

# Portuguese Legal Sentences
Collection of Legal Sentences pairs from the Portuguese Supreme Court of Justice
The goal of this dataset was to be used for Semantic Textual Similarity

- Values from 0-1: random sentences across documents
- Values from 2-4: sentences from the same summary (implying some level of entailment)
- Values from 4-5: sentences pairs generated through OpenAi' text-davinci-003 ("Escreve por outras palavras:\n\Entrada:\n"+originalQuery + "\Saída: \n")



### Contributions
[@rufimelo99](https://github.com/rufimelo99)


If you use this work, please cite:

```bibtex
@inproceedings{MeloSemantic,
	author = {Melo, Rui and Santos, Professor Pedro Alexandre and Dias, Professor Jo{\~ a}o},
	title = {A {Semantic} {Search} {System} for {Supremo} {Tribunal} de {Justi}{\c c}a},
}
```
task_categories:text-classification task_ids:text-scoring task_ids:semantic-similarity-scoring annotations_creators:automated language_creators:found multilinguality:monolingual size_categories:10K>n source_datasets:original language:pt license:mit region:us
{"annotations_creators": ["automated"], "language_creators": ["found"], "language": ["pt"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K>n"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["text-scoring", "semantic-similarity-scoring"], "pretty_name": "IRIS Legal Dataset"}
TAGS
#task_categories-text-classification #task_ids-text-scoring #task_ids-semantic-similarity-scoring #annotations_creators-automated #language_creators-found #multilinguality-monolingual #size_categories-10K>n #source_datasets-original #language-Portuguese #license-mit #region-us 



!INESC-ID
!A Semantic Search System for Supremo Tribunal de Justiça

Work developed as part of Project IRIS.

Thesis: A Semantic Search System for Supremo Tribunal de Justiça

# Portuguese Legal Sentences
Collection of Legal Sentences pairs from the Portuguese Supreme Court of Justice
The goal of this dataset was to be used for Semantic Textual Similarity

- Values from 0-1: random sentences across documents
- Values from 2-4: sentences from the same summary (implying some level of entailment)
- Values from 4-5: sentences pairs generated through OpenAi' text-davinci-003 ("Escreve por outras palavras:\n\Entrada:\n"+originalQuery + "\Saída: \n")



### Contributions
@rufimelo99


If you use this work, please cite:


# Portuguese Legal Sentences
Collection of Legal Sentences pairs from the Portuguese Supreme Court of Justice
The goal of this dataset was to be used for Semantic Textual Similarity

- Values from 0-1: random sentences across documents
- Values from 2-4: sentences from the same summary (implying some level of entailment)
- Values from 4-5: sentences pairs generated through OpenAi' text-davinci-003 ("Escreve por outras palavras:\n\Entrada:\n"+originalQuery + "\Saída: \n") ### Contributions
@rufimelo99


If you use this work, please cite:
TAGS
#task_categories-text-classification #task_ids-text-scoring #task_ids-semantic-similarity-scoring #annotations_creators-automated #language_creators-found #multilinguality-monolingual #size_categories-10K>n #source_datasets-original #language-Portuguese #license-mit #region-us 
 # Portuguese Legal Sentences
Collection of Legal Sentences pairs from the Portuguese Supreme Court of Justice
The goal of this dataset was to be used for Semantic Textual Similarity

- Values from 0-1: random sentences across documents
- Values from 2-4: sentences from the same summary (implying some level of entailment)
- Values from 4-5: sentences pairs generated through OpenAi' text-davinci-003 ("Escreve por outras palavras:\n\Entrada:\n"+originalQuery + "\Saída: \n") ### Contributions
@rufimelo99


If you use this work, please cite: