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
Mapping global dynamics of benchmark creation and saturation in
XQuAD Dataset  Papers With Code
bccd TensorFlow Datasets
XQuAD Dataset  Papers With Code
Papers With Code: The Latest in Machine Learning, Deep Learning
XQuAD Dataset  Papers With Code
End to End Question-Answering System Using NLP and SQuAD Dataset
XQuAD Dataset  Papers With Code
P] Browse State-of-the-Art Papers with Code : r/MachineLearning
XQuAD Dataset  Papers With Code
Understanding Semantic Search— (Part 1: Introduction to Machine
XQuAD Dataset  Papers With Code
Challenges and Opportunities in NLP Benchmarking
XQuAD Dataset  Papers With Code
Sensitivity to parameter choices on the Kazer et al.⁶ dataset and
XQuAD Dataset  Papers With Code
Nlakh Dataset Papers With Code
XQuAD Dataset  Papers With Code
ACL Search Tool
XQuAD Dataset  Papers With Code
XQA: A Cross-lingual Open-domain Question Answering Dataset
XQuAD Dataset  Papers With Code
Token-level statistics of the constructed datasets. Average Length
XQuAD Dataset  Papers With Code
Commonsense knowledge adversarial dataset that challenges ELECTRA
de por adulto (o preço varia de acordo com o tamanho do grupo)