| --- |
| dataset_info: |
| features: |
| - name: question |
| dtype: string |
| - name: number |
| dtype: int64 |
| - name: id |
| dtype: string |
| - name: alternatives |
| sequence: string |
| - name: associated_images |
| sequence: binary |
| - name: answer |
| dtype: string |
| - name: has_associated_images |
| dtype: bool |
| - name: alternatives_type |
| dtype: string |
| - name: subject |
| sequence: string |
| - name: IU |
| dtype: bool |
| - name: MR |
| dtype: bool |
| - name: CR |
| dtype: bool |
| splits: |
| - name: train |
| num_bytes: 783159 |
| num_examples: 140 |
| download_size: 505636 |
| dataset_size: 783159 |
| configs: |
| - config_name: default |
| data_files: |
| - 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} |
| } |
| ``` |
