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XQuAD Dataset Papers With Code

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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

Datasets em português - NLP com o Deep Learning - AI Lab Deep

XQuAD Dataset Papers With Code

GitHub - ElizaLo/Question-Answering-based-on-SQuAD: Question

XQuAD Dataset Papers With Code

MED Dataset Papers With Code

XQuAD Dataset Papers With Code

Automatic Spanish Translation of SQuAD Dataset for Multi-lingual

XQuAD Dataset Papers With Code

Papers With Code (Free Resource of Machine Learning Papers and

XQuAD Dataset Papers With Code

XQuAD Benchmark (Cross-Lingual Question Answering)

XQuAD Dataset Papers With Code

Sample from the GermanDPR dataset. 0.0 0.2 0.4 0.6 0.8 1.0 0.4 0.5

XQuAD Dataset Papers With Code

XQuAD (de) Benchmark (Question Generation)

XQuAD Dataset Papers With Code

An example from the SQuAD dataset. Evidences needed for the answer

XQuAD Dataset Papers With Code

Token-level statistics of the constructed datasets. Average Length

XQuAD Dataset Papers With Code

SQuAD Dataset Papers With Code

XQuAD Dataset Papers With Code

The Quick Guide to SQuAD. All the basic information you need to

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