XQuAD Dataset Papers With Code

XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set of SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German, Greek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, and Hindi. Consequently, the dataset is entirely parallel across 11 languages.

TyDiQA-GoldP Dataset

Mapping global dynamics of benchmark creation and saturation in

An example from the SQuAD dataset. Evidences needed for the answer

Introduction of a new dataset and method for location predicting

Sensitivity to parameter choices on the Kazer et al.⁶ dataset and

LSP Dataset - Machine Learning Datasets

Understanding Semantic Search— (Part 1: Introduction to Machine

Sample from the GermanDPR dataset. 0.0 0.2 0.4 0.6 0.8 1.0 0.4 0.5

End to End Question-Answering System Using NLP and SQuAD Dataset

Number of questions in the original SQuAD 2.0 dataset and our

GPT-3 and the rise of foundation models