don't use CSV file

spanish_passage_retrieval.py

@@ -91,9 +91,6 @@ class PRES(datasets.GeneratorBasedBuilder):
                 with open(os.path.join(extracted_path, 'relevance_passages.json')) as f:
                     rel_passages = json.load(f)
 
-                with open(os.path.join(extracted_path, 'relevance_documents.tsv')) as f:
-                    rel_docs = [(item, item[2]) for item in list(csv.reader(f, dialect='excel-tab'))[1:]]
-
             corpus_sentences = []
             corpus_documents = []
             queries = dict()
@@ -112,18 +109,17 @@ class PRES(datasets.GeneratorBasedBuilder):
             for annotated_topic in rel_passages['topics']:
                 topic = annotated_topic['number']
                 for annotation in annotated_topic['annotations']:
-                    did = f'doc_{annotation["docNo"]}_{annotation["start"]}_{annotation["end"]}'
-                    corpus_sentences.append({'_id': did, 'text': annotation['text']})
+                    passage_id = f'doc_{annotation["docNo"]}_{annotation["start"]}_{annotation["end"]}'
+                    doc_id = f'doc_{annotation["docNo"]}
+                    corpus_sentences.append({'_id': passage_id, 'text': annotation['text']})
                     for qid in topic_to_queries[topic]:
-                        qrels_s2s[qid].append(did)
+                        qrels_s2s[qid].append(passage_id)
+                        qrels_s2p[qid].append(doc_id)
 
             for doc in docs['documents']:
-                did = f'doc_{doc["docNo"]}'
-                corpus_documents.append({'_id': did, 'text': doc['text']})
+                doc_id = f'doc_{doc["docNo"]}'
+                corpus_documents.append({'_id': doc_id, 'text': doc['text']})
 
-            for topic_id, doc_id in rel_docs:
-                for q_num in topic_to_queries[topic_id]:
-                    qrels_s2p[f'PR_ES_{q_num}'].append(f'doc_{doc_id}')
 
             self._data = {
                 'corpus.sentences': corpus_sentences,