Update README.md

README.md

@@ -37,3 +37,70 @@ configs:
   - split: train
     path: data/train-*
 ---
+
+---
+license: cc-by-4.0
+task_categories:
+- question-answering
+- multiple-choice
+language:
+- pt
+tags:
+- poscomp
+- portuguese
+- evaluation
+- benchmark
+- computer-science
+size_categories:
+- n<1K
+---
+
+# POSCOMP
+
+Questions from the **POSCOMP** exams of **2022** and **2023**. POSCOMP (Exame Nacional para Ingresso na Pós-Graduação em Computação) is the Brazilian national exam for admission to graduate programs in Computing, administered by the Sociedade Brasileira de Computação (SBC). The dataset contains 140 multiple-choice questions in Portuguese covering mathematics, computer fundamentals, and computer technology.
+
+This dataset was released as part of **PoETa v2**.
+
+## Dataset Structure
+
+A single `train` split with 140 rows. Each example has the following fields:
+
+| Field | Type | Description |
+|---|---|---|
+| `question` | string | The question text. |
+| `number` | int64 | Question number within its exam. |
+| `id` | string | Unique identifier (e.g. `POSCOMP_2023_56`). |
+| `alternatives` | list[string] | The multiple-choice options (A–E). |
+| `associated_images` | list | Images associated with the question, if any. |
+| `answer` | string | The correct alternative (letter). |
+| `has_associated_images` | bool | Whether the question has associated images. |
+| `alternatives_type` | string | Type of the alternatives. |
+| `subject` | list[string] | Subject area(s): `mathematics`, `computer_fundamentals`, `computer_technology`. |
+| `IU` | bool | Requires image understanding. |
+| `MR` | bool | Requires mathematical reasoning. |
+| `CR` | bool | Requires complex reasoning. |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("maritaca-ai/poscomp", split="train")
+print(ds[0])
+```
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@article{almeida2025poeta,
+  title={PoETa v2: Toward More Robust Evaluation of Large Language Models in Portuguese},
+  author={Almeida, Thales Rog{\'e}rio Sales and Pires, Ramon and Abonizio, Hugo and Nogueira, Rodrigo and Pedrini, Helio},
+  journal={IEEE Access},
+  volume={13},
+  pages={214180--214200},
+  year={2025},
+  publisher={IEEE}
+}
+```