Upload main.py

new/main.py

@@ -121,7 +121,7 @@ corpus = []
 queries = []
 qrels = []
 
-for sub_path in tqdm(rawcorpus[103045:], desc="Reading all data..."):
+for sub_path in tqdm(rawcorpus, desc="Reading all data..."):
     tmp = readOne(os.path.join(path, sub_path))
     if len(tmp) < 5:
         continue
@@ -154,13 +154,14 @@ for qid, q in tqdm(enumerate(queries), desc="计算 qrels 中..."):
             qrels.append((qid, cid, 100 * ss))
         else:
             if mt:
-                sidx = cid + 1
+                if qid + 1 < len(queries) and q[0] != queries[qid+1][0]:
+                    sidx = cid + 1
                 break
 
 corpus_ = [(cid, c[2]) for cid, c in enumerate(corpus)]
 queries_ = [(qid, q[2]) for qid, q in enumerate(queries)]
 
-path = r'D:\datasets\H2Retrieval\new'
+path = r'D:\datasets\H2Retrieval\new_fix'
 corpus_pd, queries_pd, qrels_pd = create_dataset(corpus_, queries_, qrels)
 tmp = corpus_pd[corpus_pd['cid'].isin(qrels_pd['cid'])]
 corpus_pd = tmp
@@ -170,4 +171,4 @@ save_all_dataset(path + r'\data_sample1k', *sample_from_dataset(corpus_pd, queri
 
 # save_all_dataset(path + r'\data_sample1k', *sample_from_dataset(*load_all_dataset(r'D:\datasets\H2Retrieval\new\data_sample5k'), k=1000))
 
-tmp = load_all_dataset(r'D:\datasets\H2Retrieval\new\data')
+# tmp = load_all_dataset(r'D:\datasets\H2Retrieval\new\data')