XQuAD Dataset Papers With Code

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Descrição

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.
XQuAD Dataset  Papers With Code
Datasets em português - NLP com o Deep Learning - AI Lab Deep
XQuAD Dataset  Papers With Code
GitHub - ElizaLo/Question-Answering-based-on-SQuAD: Question
XQuAD Dataset  Papers With Code
MED Dataset Papers With Code
XQuAD Dataset  Papers With Code
Automatic Spanish Translation of SQuAD Dataset for Multi-lingual
XQuAD Dataset  Papers With Code
Papers With Code (Free Resource of Machine Learning Papers and
XQuAD Dataset  Papers With Code
XQuAD Benchmark (Cross-Lingual Question Answering)
XQuAD Dataset  Papers With Code
Sample from the GermanDPR dataset. 0.0 0.2 0.4 0.6 0.8 1.0 0.4 0.5
XQuAD Dataset  Papers With Code
XQuAD (de) Benchmark (Question Generation)
XQuAD Dataset  Papers With Code
An example from the SQuAD dataset. Evidences needed for the answer
XQuAD Dataset  Papers With Code
Token-level statistics of the constructed datasets. Average Length
XQuAD Dataset  Papers With Code
SQuAD Dataset Papers With Code
XQuAD Dataset  Papers With Code
The Quick Guide to SQuAD. All the basic information you need to
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