| import jieba |
| import json |
| from BM25 import BM25 |
| from tqdm import tqdm |
| stopwords = ['\n','\\','n',' ','.','（','）'] |
|
|
| with open('../../data/example/cn_stopwords.txt',encoding='UTF-8') as f: |
| lines=f.readlines() |
| for line in lines: |
| stopwords.append(line.strip()) |
|
|
| testids=[] |
|
|
| with open('../../data/example/dev.query.txt', "r", encoding="utf-8") as file: |
| for line in file: |
| qid,q = line.split('\t') |
| testids.append(int(qid)) |
|
|
|
|
| with open('../../data/queries.json', "r", encoding="utf-8") as file: |
| data = json.load(file) |
|
|
| docs={} |
|
|
| with open('../../data/corpus.jsonl',encoding='UTF-8') as f: |
| for line in f: |
| doc = json.loads(line) |
| words = list(jieba.cut(doc['content'])) |
| words = [word for word in words if word not in stopwords] |
| docs[doc['name']]=words |
| |
| |
| topk=3 |
|
|
| model = BM25(docs,topk=topk) |
|
|
|
|
| tot = 0.0 |
| recall_hits = 0.0 |
| one_recall_hits = 0.0 |
| mrr_sum = 0.0 |
| for obj in tqdm(data): |
| if(type(obj['问题'])==float): |
| continue |
| if(obj['query_id'] not in testids): |
| continue |
| tot += 1 |
| q = list(jieba.cut(obj['问题'])) |
| q = [word for word in q if word not in stopwords] |
| ans = model.query(q) |
| for rank,match in enumerate(ans, 1): |
| if match in obj['match_name']: |
| one_recall_hits += 1.0 |
| mrr_sum += 1.0/rank |
| break |
| cnt = 0 |
| for match in obj['match_name']: |
| if match in ans: |
| cnt += 1 |
| recall_hits += cnt/len(obj['match_name']) |
| print(f"topk:{topk}") |
| print(f'one_recall:{one_recall_hits/tot}') |
| print(f'Recall:{recall_hits/tot}') |
|
|
| print(f'mrr:{mrr_sum/tot}') |
| |
