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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:
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path: pt/
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language
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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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---
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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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