Related Experiment Video
Updated: Jun 12, 2025

03:14
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
516
Building a benchmark dataset for the Kurdish news question answering
1Computer Science Department, College of Science, University of Halabja, Kurdistan Region, Halabja, Iraq.
Data in Brief
|September 24, 2024
Summary
This study introduces the Kurdish News Question Answering Dataset (KNQAD), a valuable resource for natural language processing research. The dataset features 15,002 Kurdish news paragraphs with manually created question-answer pairs, aiding in the development of Kurdish language AI models.
Area of Science:
- Natural Language Processing
- Computational Linguistics
- Information Retrieval
Background:
- Developing NLP resources for low-resource languages like Kurdish is crucial for advancing AI inclusivity.
- Existing Kurdish language datasets are limited, hindering research in question answering (QA) and related fields.
Related Concept Videos
Surveys
14.7K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.7K
Archival Research
16.0K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
16.0K
Cochran's Q Test
242
Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
242

