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XQuAD Arabic Validation Dataset
Data Science and Analytics
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About
This dataset is a validation resource for evaluating cross-lingual question answering systems. It features a subset of 240 paragraphs and 1190 question-answer pairs derived from the SQuAD v1.1 development set, expertly translated into Arabic. The XQuAD dataset, of which this is a part, provides parallel data across 11 languages, enabling researchers to advance their work in evaluating and comparing question answering performance across different linguistic contexts.
Columns
- id: A unique identifier for the question-answer pair. (String)
- context: The textual passage from which the answer to the question can be extracted. (String)
- question: The question posed in relation to the provided context. (String)
- answers: A list of possible answers to the question, found within the context. (List of strings)
Distribution
The dataset is provided in a CSV file format, specifically
xquad.ar_validation.csv. It contains 240 distinct paragraphs and 1190 unique question-answer pairs. This Arabic validation subset is part of a larger dataset designed to be parallel across 11 languages, including the original English from SQuAD v1.1, Spanish, German, Greek, Russian, Turkish, Vietnamese, Thai, Chinese, and Hindi.Usage
This dataset is an ideal tool for researchers and data scientists aiming to:
- Evaluate the performance of cross-lingual question answering systems.
- Compare the effectiveness of various cross-lingual question answering approaches.
- Gain insights into the operational characteristics of cross-lingual question answering systems.
- Facilitate research in cross-lingual learning and deep neural network techniques.
Coverage
The dataset specifically covers the Arabic language, being a direct translation of an English source. The broader XQuAD dataset encompasses ten additional languages, making it suitable for global applications in cross-lingual NLP research. No specific time range or demographic scope is detailed beyond the linguistic coverage.
License
CC0
Who Can Use It
This dataset is primarily intended for researchers and developers in the fields of Natural Language Processing (NLP) and Artificial Intelligence (AI). It is particularly useful for those engaged in:
- Developing and testing multilingual AI models.
- Academic research on question answering, language understanding, and cross-lingual transfer learning.
- Evaluating the robustness and accuracy of machine translation systems in Q&A contexts.
Dataset Name Suggestions
- Arabic Cross-Lingual Question Answering Validation Set
- XQuAD Arabic Validation Dataset
- Multilingual QA Arabic Subset
- SQuAD v1.1 Arabic Translation
Attributes
Original Data Source: XQuAD (Cross-lingual Q&A)
QUALITY