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XQuAD

XQuAD (Cross-lingual Question Answering Dataset) is a benchmark for evaluating the performance of multilingual LLMs and RAG pipelines by providing professionally translated question-answer pairs across 10 languages based on SQuAD v1.1. It highlights the trade-off between using specialized monolingual models for accuracy versus the zero-shot transfer capabilities of large multilingual models.

Definition

XQuAD (Cross-lingual Question Answering Dataset) is a benchmark for evaluating the performance of multilingual LLMs and RAG pipelines by providing professionally translated question-answer pairs across 10 languages based on SQuAD v1.1. It highlights the trade-off between using specialized monolingual models for accuracy versus the zero-shot transfer capabilities of large multilingual models.

Disambiguation

A multilingual evaluation benchmark, not a model architecture or a training algorithm.

Visual Metaphor

"A Rosetta Stone used as a standardized test to ensure a student understands a story equally well in Spanish, German, or Chinese."

Key Tools
Hugging Face DatasetsTransformersmBERTXLM-RoBERTaDeepPavlov

Conceptual Overview

XQuAD (Cross-lingual Question Answering Dataset) is a benchmark for evaluating the performance of multilingual LLMs and RAG pipelines by providing professionally translated question-answer pairs across 10 languages based on SQuAD v1.1. It highlights the trade-off between using specialized monolingual models for accuracy versus the zero-shot transfer capabilities of large multilingual models.

Disambiguation

A multilingual evaluation benchmark, not a model architecture or a training algorithm.

Visual Analog

A Rosetta Stone used as a standardized test to ensure a student understands a story equally well in Spanish, German, or Chinese.

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