What are the elements a benchmark dataset should have to measure the relevance of search results

List of elements a benchmark dataset should have in information retrieval task, what we need for a benchmark dataset, what do we need to measure the retrieval effectiveness of a search system, standard benchmark collection for information retrieval evaluation

Question: What are the elements a benchmark dataset should have to measure the relevance of search results?   Answer: The retrieval effectiveness of a system is evaluated on a set of documents, queries, and relevance judgments. A benchmark dataset should have the following elements; A document collection Documents must be representative of the documents we expect to see in reality A set of queries It refers to a collection of information needs. The set of queries must also be representative of the information that we need in reality. An assessment by human judges on the relevancy of documents for different information needs. We need to involve humans to judge whether a document is relevant or not for a query. It is usually a costly process. Some standard benchmark collections include Cranfield, TREC (Text Retrieval Conference), and CLEF (Cross Language Evaluation forum).

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Keywords

List few benchmark data collection for information retrieval evaluation.

Information retrieval evaluation methods

How to measure the retrieval effectiveness of a  retrieval system