XQuAD Dataset Papers With Code

Por um escritor misterioso

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
VCTK Dataset - Machine Learning Datasets
XQuAD Dataset  Papers With Code
CovidQA Dataset Papers With Code
XQuAD Dataset  Papers With Code
How SIGNAL IDUNA operationalizes machine learning projects on AWS
XQuAD Dataset  Papers With Code
GitHub - google-deepmind/xquad
XQuAD Dataset  Papers With Code
Fine tuning a Question Answering model using SQuAD and BERT
XQuAD Dataset  Papers With Code
Papers With Code: The Latest in Machine Learning, Deep Learning
XQuAD Dataset  Papers With Code
Creating a Dutch question-answering machine learning model
XQuAD Dataset  Papers With Code
GitHub - ElizaLo/Question-Answering-based-on-SQuAD: Question
XQuAD Dataset  Papers With Code
UAVVaste Dataset Papers With Code
XQuAD Dataset  Papers With Code
An Introduction to Papers With Code: What It is And How to Use It
de por adulto (o preço varia de acordo com o tamanho do grupo)