NOVA-vision-language/calame-pt
CALAME-PT Context-Aware LAnguage Modeling Evaluation for Portuguese 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. Composition CALAME-PT is composed of 2 "sets" of data - handwritten and generated. Handwritten Set: contains… See the full description on the dataset page: https://huggingface.co/datasets/NOVA-vision-language/calame-pt.
| Author / organization | NOVA-vision-language |
|---|---|
| License (as declared) | mit |
| Downloads | 224 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 5 October 2023 |
| Last updated at source | 14 March 2024 |
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224 now (+17 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- NOVA-vision-language/GlorIA-1.3BModel · used to train
Recent changes
- 16 Oct 2026 Description: CALAME-PT Context-Aware LAnguage Modeling Evaluation for Portuguese 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 → CALAME-PT Context-Aware LAnguage Modeling Evaluation for Portuguese 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
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.