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Data · dataset · 2026

Adverbs as answers to polar questions

Listed in REDU - Unicamp Institutional Research Data Repository

Description

The data reported herein form part of the FAPESP-funded project (23/16142-0) entitled "Diagnostics for Adverbs: (Micro)variation and Cartography" and test, in three varieties of Portuguese (Angolan (AO), Brazilian (BP) and Mozambican (MOZ)) and in two varieties of Spanish (Chilean (CS) and Peruvian (PS)), a well-documented property of sentence adverbs: their availability as sole answers to polar questions. The dataset is organised into four zipped folders, grouped by variety and by file type: - '3 Corpus Adverbs as answers to polar questions (AO, BP, MOZ).zip' — Corpus files containing the sentences tested in the polar-question context in AO, BP and MOZ, already judged by native speakers of each variety, each with its respective metadata page; - "3 Corpus Adverbs as answers to polar questions (CS, PS).zip' — Corpus files containing the sentences tested in the polar-question context in CS and PS, already judged by native speakers of each variety, each with its respective metadata page; - "3 Prompts Adverbs as answers to polar questions (AO, BP, MOZ).zip" — Prompt files provided to the AI for the generation and/or linguistic and cultural adaptation of the sentences tested in AO, BP and MOZ.

Each prompt was carefully prepared by the project executor, Prof. Aquiles Tescari Neto, and specifies the nature of the task to be undertaken by the AI, the target construction and the type of sentences to be generated; - "3 Prompts Adverbs as answers to polar questions (CS, PS).zip"— Prompt files provided to the AI for the generation, translation and/or linguistic and cultural adaptation of the sentences tested in CS and PS, following the same procedure as described for the Portuguese varieties.

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Once the data were generated, translated and/or adapted by the AI, they were carefully reviewed by the project executor, Prof. Aquiles Tescari Neto, and submitted to acceptability/grammaticality judgements by native speakers of the respective varieties, following standard practice in Generative Grammar.

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Arts and Humanities
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Linguistics 71%
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