XQuAD Dataset Papers With Code
Por um escritor misterioso
Last updated 16 julho 2024
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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.
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PDF] CodeQA: A Question Answering Dataset for Source Code
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XTREME Dataset Papers With Code
![XQuAD Dataset Papers With Code](https://www.researchgate.net/publication/326202526/figure/fig1/AS:654919950413824@1533156492613/An-example-from-the-SQuAD-dataset-Evidences-needed-for-the-answer-are-marked-as-green.png)
An example from the SQuAD dataset. Evidences needed for the answer
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Papers with code or without code? Impact of GitHub repository
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P] Browse State-of-the-Art Papers with Code : r/MachineLearning
GitHub - pallavrajsahoo/Question-Answering-System-with-SQuAD
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SQuAD Dataset Papers With Code
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UAVVaste Dataset Papers With Code
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Machine Learning Datasets
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LSP Dataset - Machine Learning Datasets
Papers with Code
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Papers + Code - MIT-IBM Watson AI Lab
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