Datasets:
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---
dataset_info:
- config_name: pt
features:
- name: text
dtype: string
splits:
- name: test
num_bytes: 1273606
num_examples: 2076
download_size: 490275
dataset_size: 1273606
configs:
- config_name: pt
default: true
data_files:
- split: test
path: pt/test-*
license: mit
language:
- pt
tags:
- generation
- language modeling
- portuguese
- lambada
- zero-shot
size_categories:
- 1K<n<10K
---
# Context-Aware LAnguage Modeling Evaluation for Portuguese (CALAME-PT)
**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.**
CALAME-PT is a PT benchmark composed of small texts (_contexts_) and their respective last words.
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.
## Citation
All credits to the original CALAME dataset creators. Please cite the following paper when using this dataset:
```bibtex
@article{lopes2024gl,
title={Gl$\backslash$'orIA--A Generative and Open Large Language Model for Portuguese},
author={Lopes, Ricardo and Magalh{\~a}es, Jo{\~a}o and Semedo, David},
journal={arXiv preprint arXiv:2402.12969},
year={2024}
```
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