XQuAD Dataset Papers With Code
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.
UAVVaste Dataset Papers With Code
End to End Question-Answering System Using NLP and SQuAD Dataset
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in
How to Answer Questions with Machine Learning
SQuAD2.0 Benchmark (Question Answering)
PGPS9K Dataset Papers With Code
NukeBERT: A Pre-trained language model for Low Resource Nuclear
Snorkel AI researchers present 18 papers at NeurIPS 2023
Datasets em português - NLP com o Deep Learning - AI Lab Deep
de
por adulto (o preço varia de acordo com o tamanho do grupo)