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.
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UAVVaste Dataset Papers With Code
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End to End Question-Answering System Using NLP and SQuAD Dataset
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Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in
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How to Answer Questions with Machine Learning
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SQuAD2.0 Benchmark (Question Answering)
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PGPS9K Dataset Papers With Code
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NukeBERT: A Pre-trained language model for Low Resource Nuclear
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Snorkel AI researchers present 18 papers at NeurIPS 2023
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