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from datasets import load_dataset |
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def hf_beir_queries(queries): |
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queries_beir = {} |
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for query in queries: |
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queries_beir[query['_id']] = query['text'] |
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return(queries_beir) |
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def hf_beir_corpus(corpus): |
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corpus_beir = {} |
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for doc in corpus: |
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corpus_beir[doc['_id']] = doc |
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return(corpus_beir) |
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def hf_beir_qrels(qrels): |
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qrels_beir = {} |
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for el in qrels: |
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if str(el['query-id']) in qrels_beir: |
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qrels_beir[str(el['query-id'])][str(el['corpus-id'])] = el['score'] |
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else: |
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qrels_beir[str(el['query-id'])] = {str(el['corpus-id']): el['score']} |
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return(qrels_beir) |
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def load_data( |
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path, |
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lang |
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): |
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queries = load_dataset(path, 'queries-' + str(lang), split='default') |
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queries = hf_beir_queries(queries) |
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corpus = load_dataset(path, 'corpus-' + str(lang), split='default') |
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corpus = hf_beir_corpus(corpus) |
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qrels = load_dataset(path, 'qrels-' + str(lang), split='default') |
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qrels = hf_beir_qrels(qrels) |
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images = load_dataset(path, 'images-' + str(lang), split='default') |
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return(queries, corpus, qrels, images) |
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