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.
Papers with Code
7 Top Open Source Datasets to Train Natural Language Processing
ArxivPapers Dataset
End to End Question-Answering System Using NLP and SQuAD Dataset
Token-level statistics of the constructed datasets. Average Length
PGPS9K Dataset Papers With Code
MLQA Dataset Papers With Code
PDF] CodeQA: A Question Answering Dataset for Source Code
Sensitivity to parameter choices on the Kazer et al.⁶ dataset and
End to End Question-Answering System Using NLP and SQuAD Dataset
de
por adulto (o preço varia de acordo com o tamanho do grupo)
