Datasets:
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Portuguese
Size:
10K - 100K
Tags:
lener_br
File size: 1,588 Bytes
264ab9c b4a0581 e63f145 264ab9c 72ff1de 264ab9c 72ff1de 264ab9c 7eb3488 264ab9c 5aac0a3 7eb3488 5aac0a3 4fb77a1 5aac0a3 4fb77a1 |
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---
languages:
- pt
multilinguality:
- monolingual
paperswithcode_id: lener-br
pretty_name: LeNER-Br language modeling
task_ids:
- language-modeling
datasets:
- lener_br
tags:
- lener_br
---
# Dataset Card for "LeNER-Br language modeling"
## Dataset Summary
The LeNER-Br language modeling dataset is a collection of legal texts in Portuguese from the [LeNER-Br](https://huggingface.co/datasets/lener_br) dataset ([official site](https://cic.unb.br/~teodecampos/LeNER-Br/)).
The legal texts were downloaded from this [link](https://cic.unb.br/~teodecampos/LeNER-Br/LeNER-Br.zip) (93.6MB) and processed to create a `DatasetDict` with train and validation dataset (20%).
The LeNER-Br language modeling dataset allows the finetuning of language models as BERTimbau [base](https://huggingface.co/neuralmind/bert-base-portuguese-cased) and [large](https://huggingface.co/neuralmind/bert-large-portuguese-cased).
## Language
Portuguese from Brazil.
## Blog post
[NLP | Modelos e Web App para Reconhecimento de Entidade Nomeada (NER) no domínio jurídico brasileiro](https://medium.com/@pierre_guillou/nlp-modelos-e-web-app-para-reconhecimento-de-entidade-nomeada-ner-no-dom%C3%ADnio-jur%C3%ADdico-b658db55edfb) (29/12/2021)
## Dataset structure
```
DatasetDict({
validation: Dataset({
features: ['text'],
num_rows: 3813
})
train: Dataset({
features: ['text'],
num_rows: 15252
})
})
```
## Use
```
!pip install datasets
from datasets import load_dataset
dataset = load_dataset("pierreguillou/lener_br_finetuning_language_model")
``` |