| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: "test.csv" |
| task_categories: |
| - text-classification |
| - zero-shot-classification |
| - question-answering |
| - sentence-similarity |
| language: |
| - pt |
| - ca |
| - gl |
| - en |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # 🌎 Natural Portuguese Language Benchmark (Napolab) |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** https://github.com/ruanchaves/napolab |
| - **Repository:** https://github.com/ruanchaves/napolab |
| - **Paper:** |
| - **Leaderboard:** |
| - **Point of Contact:** https://ruanchaves.github.io/ |
|
|
| The [**Napolab**](https://github.com/ruanchaves/napolab) is your go-to collection of Portuguese datasets for the evaluation of Large Language Models. |
|
|
| ## 📊 Napolab for Large Language Models (LLMs) |
|
|
| A format of Napolab specifically designed for researchers experimenting with Large Language Models (LLMs) is now available. This format includes two main fields: |
|
|
| * **Prompt**: The input prompt to be fed into the LLM. |
| * **Answer**: The expected classification output label from the LLM, which is always a number between 0 and 5. |
|
|
| The dataset in this format can be accessed at [https://huggingface.co/datasets/ruanchaves/napolab](https://huggingface.co/datasets/ruanchaves/napolab). If you’ve used Napolab for LLM evaluations, please share your findings with us! |
|
|
| ## Leaderboards |
|
|
| The [Open PT LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard) incorporates datasets from Napolab. |
|
|
| ## Guidelines |
|
|
| Napolab adopts the following guidelines for the inclusion of datasets: |
|
|
| * 🌿 **Natural**: As much as possible, datasets consist of natural Portuguese text or professionally translated text. |
| * ✅ **Reliable**: Metrics correlate reliably with human judgments (accuracy, F1 score, Pearson correlation, etc.). |
| * 🌐 **Public**: Every dataset is available through a public link. |
| * 👩🔧 **Human**: Expert human annotations only. No automatic or unreliable annotations. |
| * 🎓 **General**: No domain-specific knowledge or advanced preparation is needed to solve dataset tasks. |
|
|
| [Napolab](https://huggingface.co/datasets/ruanchaves/napolab) currently includes the following datasets: |
|
|
| | | | | |
| | :---: | :---: | :---: | |
| |[assin](https://huggingface.co/datasets/assin) | [assin2](https://huggingface.co/datasets/assin2) | [rerelem](https://huggingface.co/datasets/ruanchaves/rerelem)| |
| |[hatebr](https://huggingface.co/datasets/ruanchaves/hatebr)| [reli-sa](https://huggingface.co/datasets/ruanchaves/reli-sa) | [faquad-nli](https://huggingface.co/datasets/ruanchaves/faquad-nli) | |
| |[porsimplessent](https://huggingface.co/datasets/ruanchaves/porsimplessent) | | | |
|
|
| **💡 Contribute**: We're open to expanding Napolab! Suggest additions in the issues. For more information, read our [CONTRIBUTING.md](CONTRIBUTING.md). |
|
|
| 🌍 For broader accessibility, all datasets have translations in **Catalan, English, Galician and Spanish** using the `facebook/nllb-200-1.3B model` via [Easy-Translate](https://github.com/ikergarcia1996/Easy-Translate). |
|
|
| ## 🤖 Models |
|
|
| We've made several models, fine-tuned on this benchmark, available on Hugging Face Hub: |
|
|
| | Datasets | mDeBERTa v3 | BERT Large | BERT Base | |
| |:----------------------------:|:--------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------:| |
| | **ASSIN 2 - STS** | [Link](https://huggingface.co/ruanchaves/mdeberta-v3-base-assin2-similarity) | [Link](https://huggingface.co/ruanchaves/bert-large-portuguese-cased-assin2-similarity) | [Link](https://huggingface.co/ruanchaves/bert-base-portuguese-cased-assin2-similarity) | |
| | **ASSIN 2 - RTE** | [Link](https://huggingface.co/ruanchaves/mdeberta-v3-base-assin2-entailment) | [Link](https://huggingface.co/ruanchaves/bert-large-portuguese-cased-assin2-entailment) | [Link](https://huggingface.co/ruanchaves/bert-base-portuguese-cased-assin2-entailment) | |
| | **ASSIN - STS** | [Link](https://huggingface.co/ruanchaves/mdeberta-v3-base-assin-similarity) | [Link](https://huggingface.co/ruanchaves/bert-large-portuguese-cased-assin-similarity) | [Link](https://huggingface.co/ruanchaves/bert-base-portuguese-cased-assin-similarity) | |
| | **ASSIN - RTE** | [Link](https://huggingface.co/ruanchaves/mdeberta-v3-base-assin-entailment) | [Link](https://huggingface.co/ruanchaves/bert-large-portuguese-cased-assin-entailment) | [Link](https://huggingface.co/ruanchaves/bert-base-portuguese-cased-assin-entailment) | |
| | **HateBR** | [Link](https://huggingface.co/ruanchaves/mdeberta-v3-base-hatebr) | [Link](https://huggingface.co/ruanchaves/bert-large-portuguese-cased-hatebr) | [Link](https://huggingface.co/ruanchaves/bert-base-portuguese-cased-hatebr) | |
| | **FaQUaD-NLI** | [Link](https://huggingface.co/ruanchaves/mdeberta-v3-base-faquad-nli) | [Link](https://huggingface.co/ruanchaves/bert-large-portuguese-cased-faquad-nli) | [Link](https://huggingface.co/ruanchaves/bert-base-portuguese-cased-faquad-nli) | |
| | **PorSimplesSent** | [Link](https://huggingface.co/ruanchaves/mdeberta-v3-base-porsimplessent) | [Link](https://huggingface.co/ruanchaves/bert-large-portuguese-cased-porsimplessent) | [Link](https://huggingface.co/ruanchaves/bert-base-portuguese-cased-porsimplessent) | |
|
|
|
|
| For model fine-tuning details and benchmark results, visit [EVALUATION.md](EVALUATION.md). |
|
|
|
|
| ## Citation |
|
|
| If you would like to cite our work or models, please reference the Master's thesis [Lessons Learned from the Evaluation of Portuguese Language Models](https://www.um.edu.mt/library/oar/handle/123456789/120557). |
|
|
| ``` |
| @mastersthesis{chaves2023lessons, |
| title={Lessons learned from the evaluation of Portuguese language models}, |
| author={Chaves Rodrigues, Ruan}, |
| year={2023}, |
| school={University of Malta}, |
| url={https://www.um.edu.mt/library/oar/handle/123456789/120557} |
| } |
| ``` |
|
|
| ## Disclaimer |
|
|
| The HateBR dataset, including all its components, is provided strictly for academic and research purposes. The use of the HateBR dataset for any commercial or non-academic purpose is expressly prohibited without the prior written consent of [SINCH](https://www.sinch.com/). |
