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--- |
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dataset_info: |
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- config_name: pt |
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features: |
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- name: text |
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dtype: string |
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splits: |
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- name: test |
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num_bytes: 1273606 |
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num_examples: 2076 |
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download_size: 490275 |
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dataset_size: 1273606 |
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configs: |
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- config_name: pt |
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default: true |
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data_files: |
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- split: test |
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path: pt/test-* |
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license: mit |
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language: |
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- pt |
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tags: |
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- generation |
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- language modeling |
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- portuguese |
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- lambada |
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- zero-shot |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Context-Aware LAnguage Modeling Evaluation for Portuguese (CALAME-PT) |
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**This is a version of the original [CALAME dataset](https://huggingface.co/datasets/NOVA-vision-language/calame-pt) adapted for use using the LM Evaluation Harness.** |
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CALAME-PT is a PT benchmark composed of small texts (_contexts_) and their respective last words. |
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These contexts should, in theory, contain enough information so that a human or a model is capable of guessing its last word - without being too specific and/or too ambiguous. |
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## Citation |
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All credits to the original CALAME dataset creators. Please cite the following paper when using this dataset: |
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```bibtex |
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@article{lopes2024gl, |
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title={Gl$\backslash$'orIA--A Generative and Open Large Language Model for Portuguese}, |
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author={Lopes, Ricardo and Magalh{\~a}es, Jo{\~a}o and Semedo, David}, |
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journal={arXiv preprint arXiv:2402.12969}, |
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year={2024} |
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``` |
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