In order to get your time score, replace the comments with your code for each section.

    start_indexing_time = time.time()
    '''
    
    Insert indexing functionality
    
    '''
    end_indexing_time = time.time()

    start_retrieval_time = time.time()
    '''
    
    Insert retrieval functionality
    
    '''
    end_retrieval_time = time.time()

In order to use the given evaluation class please go through the following stages:

   cd <project directory>/evaluator/trec_eval.9.0
   make
   cp trec_eval ../
   chmod +x ../trec_eval

The metrics we will use are:

• MAP
• nDCG@20
• Precision@5
• Precision@10

In order to check your results with the metrics above you can use the code below:

    from evaluator.evaluate import Eval
    ...
    ...
    evaluation = Eval(trec_file, qrels)
    evaluation.run_evaluation()

Where:

• trec_file - Path to scores file
• qrels - Path to relevance judgement file
• Results of evaluation will be written in a file named "results_of_retrieval"

query-id Q0 document-id 1 score hackathon

For example:

• 750 Q0 GX261-61-14975000 1 0.333 hackathon
• 750 Q0 GX261-70-6119593 1 0.311 hackathon
• ...
• ...

Important Note - results file should be sorted by query - id(ascending), score(descending), document-id(descending).

The file is located at data/qrels.gov2_train.all