-
Notifications
You must be signed in to change notification settings - Fork 54
/
run_evaluation.py
131 lines (112 loc) · 4.71 KB
/
run_evaluation.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
THE_INDEX = {
'dl19': 'msmarco-v1-passage',
'dl20': 'msmarco-v1-passage',
'covid': 'beir-v1.0.0-trec-covid.flat',
'arguana': 'beir-v1.0.0-arguana.flat',
'touche': 'beir-v1.0.0-webis-touche2020.flat',
'news': 'beir-v1.0.0-trec-news.flat',
'scifact': 'beir-v1.0.0-scifact.flat',
'fiqa': 'beir-v1.0.0-fiqa.flat',
'scidocs': 'beir-v1.0.0-scidocs.flat',
'nfc': 'beir-v1.0.0-nfcorpus.flat',
'quora': 'beir-v1.0.0-quora.flat',
'dbpedia': 'beir-v1.0.0-dbpedia-entity.flat',
'fever': 'beir-v1.0.0-fever-flat',
'robust04': 'beir-v1.0.0-robust04.flat',
'signal': 'beir-v1.0.0-signal1m.flat',
'mrtydi-ar': 'mrtydi-v1.1-arabic',
'mrtydi-bn': 'mrtydi-v1.1-bengali',
'mrtydi-fi': 'mrtydi-v1.1-finnish',
'mrtydi-id': 'mrtydi-v1.1-indonesian',
'mrtydi-ja': 'mrtydi-v1.1-japanese',
'mrtydi-ko': 'mrtydi-v1.1-korean',
'mrtydi-ru': 'mrtydi-v1.1-russian',
'mrtydi-sw': 'mrtydi-v1.1-swahili',
'mrtydi-te': 'mrtydi-v1.1-telugu',
'mrtydi-th': 'mrtydi-v1.1-thai',
}
THE_TOPICS = {
'dl19': 'dl19-passage',
'dl20': 'dl20-passage',
'covid': 'beir-v1.0.0-trec-covid-test',
'arguana': 'beir-v1.0.0-arguana-test',
'touche': 'beir-v1.0.0-webis-touche2020-test',
'news': 'beir-v1.0.0-trec-news-test',
'scifact': 'beir-v1.0.0-scifact-test',
'fiqa': 'beir-v1.0.0-fiqa-test',
'scidocs': 'beir-v1.0.0-scidocs-test',
'nfc': 'beir-v1.0.0-nfcorpus-test',
'quora': 'beir-v1.0.0-quora-test',
'dbpedia': 'beir-v1.0.0-dbpedia-entity-test',
'fever': 'beir-v1.0.0-fever-test',
'robust04': 'beir-v1.0.0-robust04-test',
'signal': 'beir-v1.0.0-signal1m-test',
'mrtydi-ar': 'mrtydi-v1.1-arabic-test',
'mrtydi-bn': 'mrtydi-v1.1-bengali-test',
'mrtydi-fi': 'mrtydi-v1.1-finnish-test',
'mrtydi-id': 'mrtydi-v1.1-indonesian-test',
'mrtydi-ja': 'mrtydi-v1.1-japanese-test',
'mrtydi-ko': 'mrtydi-v1.1-korean-test',
'mrtydi-ru': 'mrtydi-v1.1-russian-test',
'mrtydi-sw': 'mrtydi-v1.1-swahili-test',
'mrtydi-te': 'mrtydi-v1.1-telugu-test',
'mrtydi-th': 'mrtydi-v1.1-thai-test',
}
from rank_gpt import run_retriever, sliding_windows, write_eval_file
from pyserini.search import LuceneSearcher, get_topics, get_qrels
from tqdm import tqdm
import tempfile
import os
import json
import shutil
openai_key = os.environ.get("OPENAI_API_KEY", None)
for data in ['dl19', 'dl20', 'covid', 'nfc', 'touche', 'dbpedia', 'scifact', 'signal', 'news', 'robust04']:
print('#' * 20)
print(f'Evaluation on {data}')
print('#' * 20)
# Retrieve passages using pyserini BM25.
try:
searcher = LuceneSearcher.from_prebuilt_index(THE_INDEX[data])
topics = get_topics(THE_TOPICS[data] if data != 'dl20' else 'dl20')
qrels = get_qrels(THE_TOPICS[data])
rank_results = run_retriever(topics, searcher, qrels, k=100)
except:
print(f'Failed to retrieve passages for {data}')
continue
# Run sliding window permutation generation
new_results = []
for item in tqdm(rank_results):
new_item = sliding_windows(item, rank_start=0, rank_end=100, window_size=20, step=10,
model_name='gpt-3.5-turbo', api_key=openai_key)
new_results.append(new_item)
# Evaluate nDCG@10
from trec_eval import EvalFunction
# Create an empty text file to write results, and pass the name to eval
temp_file = tempfile.NamedTemporaryFile(delete=False).name
EvalFunction.write_file(new_results, temp_file)
EvalFunction.main(THE_TOPICS[data], temp_file)
for data in ['mrtydi-ar', 'mrtydi-bn', 'mrtydi-fi', 'mrtydi-id', 'mrtydi-ja', 'mrtydi-ko', 'mrtydi-ru', 'mrtydi-sw', 'mrtydi-te', 'mrtydi-th']:
print('#' * 20)
print(f'Evaluation on {data}')
print('#' * 20)
# Retrieve passages using pyserini BM25.
try:
searcher = LuceneSearcher.from_prebuilt_index(THE_INDEX[data])
topics = get_topics(THE_TOPICS[data] if data != 'dl20' else 'dl20')
qrels = get_qrels(THE_TOPICS[data])
rank_results = run_retriever(topics, searcher, qrels, k=100)
rank_results = rank_results[:100]
except:
print(f'Failed to retrieve passages for {data}')
continue
# Run sliding window permutation generation
new_results = []
for item in tqdm(rank_results):
new_item = sliding_windows(item, rank_start=0, rank_end=100, window_size=20, step=10,
model_name='gpt-3.5-turbo', api_key=openai_key)
new_results.append(new_item)
# Evaluate nDCG@10
from trec_eval import EvalFunction
temp_file = tempfile.NamedTemporaryFile(delete=False).name
EvalFunction.write_file(new_results, temp_file)
EvalFunction.main(THE_TOPICS[data], temp_file)