XQuAD Dataset Papers With Code
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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.
The OIG Dataset
Automatic Spanish Translation of SQuAD Dataset for Multi-lingual
The Quick Guide to SQuAD. All the basic information you need to
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Sample from the GermanDPR dataset. 0.0 0.2 0.4 0.6 0.8 1.0 0.4 0.5
XQA Dataset Papers With Code
The Quick Guide to SQuAD. All the basic information you need to
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in
SQuAD Dataset Papers With Code
Papers Explained 46: FLAN. This paper explores a simple method for
An Introduction to Papers With Code: What It is And How to Use It
Commonsense knowledge adversarial dataset that challenges ELECTRA
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