Update README.md

README.md

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-# Dataset Card for Dataset Name
+# Buscapé Sample annotated for Semantic Role Labelling
 
-<!-- Provide a quick summary of the dataset. -->
+The Propbank-Br is a project that aims to annotate corpora with semantic role labels for the purpose of creating training datasets for automated semantic role classifiers. The annotation scheme is quite similar to that of the English Propbank (Palmer et al., 2005), with language-specific differences taken into account. The set of semantic roles was designed to facilitate automatic learning. The annotation is done on syntactic trees generated by the Palavras parser (Bick, 2000).
 
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+This particular sample was annotated for the purpose of evaluating semantic role classifiers. It contains 840 instances annotated with semantic role labels on syntactic trees generated by the Palavras parser (Bick, 2000). The instances were extracted from the Buscapé corpus (Hartmann et al. 2014), a corpus of user reviews on products. The syntactic trees in the sample were not reviewed by humans, and were annotated using two annotators for each sentence (double-blind annotation).
 
-## Dataset Details
 
-### Dataset Description
 
-<!-- Provide a longer summary of what this dataset is. -->
 
-
-
-- **Curated by:** [More Information Needed]
+- **Annotated by:** [PROSA](https://sites.google.com/view/prosa-nilc)
 - **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
+- **Language:** Portuguese
 - **License:** [More Information Needed]
 
-### Dataset Sources [optional]
-
-<!-- Provide the basic links for the dataset. -->
+### Dataset Sources
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Paper [optional]:** Hartmann, N. S.; Avanço. L.; Balage, P. P.; Duran, M. S.; Nunes, M. G. V.; Pardo, T.; Aluísio, S. (2014). A Large Opinion Corpus in Portuguese - Tackling Out-Of-Vocabulary Words. In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014).
 
 ## Uses