XQuAD Dataset Papers With Code

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.

Number of questions in the original SQuAD 2.0 dataset and our

The OIG Dataset

Automatic Spanish Translation of SQuAD Dataset for Multi-lingual

Papers With Code: The Latest in Machine Learning, Deep Learning

UAVVaste Dataset Papers With Code

Understanding Semantic Search— (Part 1: Introduction to Machine

🤗 Datasets: A community library for natural language processing

PDF] mMARCO: A Multilingual Version of the MS MARCO Passage

P] Browse State-of-the-Art Papers with Code : r/MachineLearning

End to End Question-Answering System Using NLP and SQuAD Dataset

VCTK Dataset - Machine Learning Datasets

End to End Question-Answering System Using NLP and SQuAD Dataset

Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in