qid1
stringlengths
2
6
qid2
stringlengths
2
6
43345
43346
299890
4507
111905
25820
166095
166096
32422
70278
13756
178040
145013
29874
387498
387499
526973
526974
408687
85238
31337
31338
36668
48942
3663
7295
82964
82965
249343
266156
46473
89486
299045
299046
34261
34262
194480
81759
40583
59284
98201
98202
374007
374008
142328
55039
22064
2265
37318
6679
362986
407036
155914
240652
394269
394270
156452
77832
10794
10795
36473
72553
14333
7411
205626
45071
258694
92739
67593
9917
100806
111905
115459
14695
101795
8848
372
48722
174424
174425
120209
53296
35932
75917
2879
29028
294219
377233
177990
447073
146287
84086
229918
28370
133051
37237
166720
206380
295360
514716
113596
61549
232823
232824
119303
297678
191817
87182
19274
27786
129972
9849
114006
470644
188019
500415
163624
60504
46666
71673
18420
63168
16356
62105
150879
28412
10562
7708
134237
14927
259519
81027
145012
19254
131268
137961
516558
6674
53120
62741
60781
6929
259519
82022
137217
32423
21231
55083
140195
397112
106997
123836
324886
324887
149680
149681
185774
33833
111301
43784
20868
233674
43358
64170
136506
162098
42017
44023
105172
40999
123394
93259
6577
95350
161231
63179
367078
367079
227689
42397
133426
36806
19158
213440
441518
9522
109936
342423
105997
113162
103198
103199
19339
19340
55263
58038
252476
72439
94530
94531

Dataset Card for Quora Duplicate Questions

This dataset contains the Quora Question Pairs dataset in a format that is easily used with the ParaphraseMiningEvaluator evaluator in Sentence Transformers. The data was originally created by Quora for this Kaggle Competition.

Usage

from datasets import load_dataset
from sentence_transformers.SentenceTransformer import SentenceTransformer
from sentence_transformers.evaluation import ParaphraseMiningEvaluator

# Load the Quora Duplicates Mining dataset
questions_dataset = load_dataset("sentence-transformers/quora-duplicates-mining", "questions", split="dev")
duplicates_dataset = load_dataset("sentence-transformers/quora-duplicates-mining", "duplicates", split="dev")

# Create a mapping from qid to question & a list of duplicates (qid1, qid2)
qid_to_questions = dict(zip(questions_dataset["qid"], questions_dataset["question"]))
duplicates = list(zip(duplicates_dataset["qid1"], duplicates_dataset["qid2"]))

# Initialize the paraphrase mining evaluator
paraphrase_mining_evaluator = ParaphraseMiningEvaluator(qid_to_questions, duplicates, name="quora-duplicates-dev")

# Load a model to evaluate
model = SentenceTransformer("all-MiniLM-L6-v2")
results = paraphrase_mining_evaluator(model)
print(results)
{
  'quora-duplicates-dev_average_precision': 0.5537837023752262,
  'quora-duplicates-dev_f1': 0.542585123346778,
  'quora-duplicates-dev_precision': 0.5112918195076678,
  'quora-duplicates-dev_recall': 0.5779587350751861,
  'quora-duplicates-dev_threshold': 0.8290803134441376,
}

Dataset Subsets

questions subset

  • Columns: "question", "qid"
  • Column types: str, str
  • Examples:
    {
      'question': 'How do I prepare for TCS IT Wiz?',
      'qid': '107646',
    }
    
  • Collection strategy: A direct copy of the quora-IR-dataset/duplicate-mining as generated from create_splits.py.
  • Deduplified: No

duplicates subset

  • Columns: "qid1", "qid2"
  • Column types: str, str
  • Examples:
    {
      'qid1': '43345',
      'qid2': '43346',
    }
    
  • Collection strategy: A direct copy of the quora-IR-dataset/duplicate-mining as generated from create_splits.py.
  • Deduplified: No
Downloads last month
111
Edit dataset card