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Slovene Lexicographic QA Fine-Tuning Corpus SloLexQA 1.0
The Slovene Lexicographic QA Fine-Tuning Corpus is a specialized dataset designed to advance the performance of AI models in understanding the structural, grammatical, and... -
Corpus-grounded evaluation dataset for grammatical question answering GramQA 1.0
The Corpus-grounded evaluation dataset for grammatical question answering (GramQA) consists of 13 grammatical questions inspired by WALS, the World Atlas of Language Structures... -
sqad 3.0
Simple question answering database version 3 (SQAD v3) created from Czech Wikipedia. New version consits of 13477 records. Each record of SQAD consist of multiple files -... -
SQAD v2
Simple question answering database (SQAD) created from Czech Wikipedia. Each record of SQAD consist of four files (in vertical form provided with lemmatization and POS tagging)... -
SQAD
The SQAD database consists of 3301 records obtained from Czech Wikipedia articles. The record structure is following: - the original sentence(s) from Wikipedia - a question... -
sqad 2.1
Simple question answering database version 2.1 (SQAD_v2.1) created from Czech Wikipedia. Each record of SQAD consist of four files (in vertical form provided with lemmatization... -
Fine-tuned models for extractive question answering in the Slovenian language
6 different fine-tuned Transformer-based models that solve the downstream task of extractive question answering in the Slovenian language. The fine-tuned models included are:... -
Pytania i odpowiedzi z serwisu wikipedyjnego "Czy wiesz", wersja 2.0
Zbiór wzbogacono o oznaczenie konkretnych fragmentów zawierających odpowiedź na wskazane pytania. Wszystkie wskazane fragmenty zostały zweryfikowane przez człowieka. Niektórym... -
Real-world misleading visualizations QA dataset
The real-world misleading visualization QA dataset accompanies the paper "'Protecting multimodal large language models againts misleading visualizations". The dataset contains... -
M2QA: A Multi-domain Multilingual Question Answering Benchmark Dataset
M2QA (Multi-domain Multilingual Question Answering) is an extractive question answering benchmark for evaluating joint language and domain transfer. M2QA includes 13,500 SQuAD...
