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README.md

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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: train
+        path: pt/train-*
+      - split: validation
+        path: pt/validation-*
+      - 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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