Update README.md

README.md

@@ -78,7 +78,13 @@ The corpus is saved as o jsonl (json line) file, where each line contains all th
 
 # How to use
 
-**Use with transformers**
+**Use with datasets**
+
+```py
+from datasets import load_dataset
+dataset = load_dataset("Itau-Unibanco/aroeira")
+```
+
 
 # Benchmark with other Portuguese datasets
 Aroeira is, in our knowlegde, the largest dataset available for Portuguese language. 
@@ -100,7 +106,39 @@ As it was impractical to manually review the entire dataset, validation of filte
 
   The corpus data is primarily sourced from [Common Crawl](https://commoncrawl.org/), which collects publicly accessible content. 
   One of the key concerns was to validate whether any of the crawled content infringed on copyright protections. 
-  A thorough effort was made to remove any documents that might violate copyright laws.  
+  A thorough effort was made to remove any documents that might violate copyright laws.
+
+# Citation Information
+Our paper "Aroeira: A Curated Corpus for the Portuguese Language with a Large Number of Tokens" that fully describes the corpus creation was accepted on the
+34th Brazilian Conference on Intelligent Systems (BRACIS) taking place in november 2024. We will soon provide detailed instrctions on how to correctly cite it.
+
+
+
+
+<!-- <pre>
+@Article{lira2024aroeira,
+  author        = {Thiago Lira, Flávio Cação, Cinthia Souza, João Valentini, Edson Bollis, Otavio, Oliveira, Renato Almeida, Marcio Magalhães, Katia Polini, Andre Oliveira, and Lucas Pellicer},
+  title         = {Aroeira: A Curated Corpus for the Portuguese Language with a Large Number of Tokens},
+  year          = {2024},
+  month         = oct,
+  abstract      = {The emphasis on constructing extensive datasets for traininglarge language models (LLM) has recently increased, and current literature predominantly features datasets for high-resource languages such asEnglish and Chinese. However, there is a notable scarcity of high-quality corpora for the Portuguese language. To address this limitation, we propose
+                  Aroeira, a curated corpus explicitly designed for training large language
+                  models in the Portuguese language, with a focus on the Brazilian
+                  Portuguese one. The Aroeira Corpus consists of 100 GB of texts from various
+                  internet platforms, processed through a comprehensive pipeline to
+                  ensure superior quality. The pipeline handles downloading, text extraction,
+                  language identification, application of quality and bias filters, and
+                  storage, all tailored for the Portuguese language. The resulting corpus
+                  contains 35.3 million documents and over 15.1 billion tokens, surpassing
+                  the largest previously available corpus in this domain.},
+  eprint        = {},
+  file          = {},
+  keywords      = {cs.CL},
+  primaryclass  = {cs.CL},
+} -->
+
+  
+</pre>
 
 # Contributors