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 Quick Guide to SQuAD. All the basic information you need to
bigscience/P3 · Datasets at Hugging Face
SQuAD Dataset Papers With Code
PDF] CodeQA: A Question Answering Dataset for Source Code
UQuAD1.0: Development of an Urdu Question Answering Training Data
Papers With Code: The Latest in Machine Learning, Deep Learning
An example from the SQuAD dataset. Evidences needed for the answer
TyDiQA-GoldP Dataset
Papers with Code
Snorkel AI researchers present 18 papers at NeurIPS 2023
P] Browse State-of-the-Art Papers with Code : r/MachineLearning
Many Languages, One Deep Learning Model
XQA: A Cross-lingual Open-domain Question Answering Dataset
Results reported on TrecQA, WikiQA, and SQUAD-Sent datasets. SQUAD
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