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