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from utils.retriever_utils import load_passages, validate, save_results |
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import pickle |
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import os |
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import csv |
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def load_data_with_pickle(file_path): |
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with open(file_path, 'rb') as f: |
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return pickle.load(f) |
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def process_and_save_retrieval_results(top_docs, dataset_name, questions, question_answers, all_passages, num_threads, match_type, output_dir, output_no_text=False): |
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recall_outfile = os.path.join(output_dir, 'recall_at_k.csv') |
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result_outfile = os.path.join(output_dir, 'results.json') |
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questions_doc_hits = validate( |
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dataset_name, |
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all_passages, |
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question_answers, |
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top_docs, |
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num_threads, |
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match_type, |
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recall_outfile, |
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use_wandb=False |
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) |
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save_results( |
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all_passages, |
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questions, |
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question_answers, |
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top_docs, |
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questions_doc_hits, |
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result_outfile, |
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output_no_text=output_no_text |
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) |
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return questions_doc_hits |
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if __name__=='__main__': |
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dataset_name = 'webq' |
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num_threads = 10 |
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output_no_text = False |
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ctx_file = './corpus/wiki_webq_corpus.tsv' |
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match_type = 'string' |
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input_file_path = './data/webq-test.csv' |
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with open(input_file_path,'r') as file: |
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query_data = csv.reader(file, delimiter='\t') |
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questions, question_answers = zip(*[(item[0], eval(item[1])) for item in query_data]) |
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questions = questions |
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question_answers = question_answers |
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all_passages = load_passages(ctx_file) |
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output_dir = './output/webq-test-result' |
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top_docs_pkl_path = './output/result_str.pkl' |
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top_docs = load_data_with_pickle(top_docs_pkl_path) |
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os.makedirs(output_dir, exist_ok=True) |
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questions_doc_hits = process_and_save_retrieval_results( |
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top_docs, |
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dataset_name, |
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questions, |
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question_answers, |
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all_passages, |
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num_threads, |
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match_type, |
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output_dir, |
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output_no_text=output_no_text |
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) |
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print('Validation End!') |
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