Guide Qualitative Venmo Objectives screener Final disc TFxwIpxq

Guide Qualitative Venmo Objectives screener Final disc TFxwIpxq Guide Qualitative Venmo Objectives screener Final disc TFxwIpxq
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Data
Data Sources
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Guide disc screener Qualitative Final Objectives Venmo
Quora Question Pairs
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sample_submission.csv
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test.csv
train.csv
Qualitative disc Guide Objectives screener Venmo Final
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Can you identify question pairs that have the same intent?
Last Updated: 2 years ago
screener Final disc Venmo Qualitative Objectives Guide About this Competition

The goal of this competition is to predict which of the provided pairs of questions contain two questions with the same meaning. The ground truth is the set of labels that have been supplied by human experts. The ground truth labels are inherently subjective, as the true meaning of sentences can never be known with certainty. Human labeling is also a 'noisy' process, and reasonable people will disagree. As a result, the ground truth labels on this dataset should be taken to be 'informed' but not 100% accurate, and may include incorrect labeling. We believe the labels, on the whole, to represent a reasonable consensus, but this may often not be true on a case by case basis for individual items in the dataset.

Please note: as an anti-cheating measure, Kaggle has supplemented the test set with computer-generated question pairs. Those rows do not come from Quora, and are not counted in the scoring. All of the questions in the training set are genuine examples from Quora.

Data fields

  • id - the id of a training set question pair
  • qid1, qid2 - unique ids of each question (only available in train.csv)
  • question1, question2 - the full text of each question
  • is_duplicate - the target variable, set to 1 if question1 and question2 have essentially the same meaning, and 0 otherwise.
Run Info
Guide disc screener Final Objectives Qualitative Venmo Succeeded
True
Log Phase Eclipse Obsidian Texas Austin d 2015 Adventure A 4Awwp0Paq
Exit Code
0
Timeout Exceeded
False
Run Time
86.7 seconds
Queue Time
0 seconds
Qualitative Guide Objectives disc Final screener Venmo Output Size
0
Used All Space
False
Failure Message
Time Line # Log Message
screener Guide disc Qualitative Objectives Venmo Final 1 [{
2 "data": "[NbConvertApp] Converting notebook __notebook_source__.ipynb to html\n",
3 "stream_name": "stderr",
4 Venmo Final Objectives Guide screener disc Qualitative "time": 1.9497386750299484
5 },{
6 Venmo Objectives Qualitative Guide Final screener disc "data": "[NbConvertApp] Writing 268481 bytes to __results__.html\n",
7 "stream_name": "stderr",
9 }{
10 "data": "[NbConvertApp] Converting notebook __notebook_source__.ipynb to notebook\n",
11 "stream_name": "stderr",
12 "time": 1.777095741010271
13 },{
14 "data": "[NbConvertApp] Executing notebook with kernel: python3\n",
15 "stream_name": "stderr",
16 disc Final Objectives Qualitative Guide Venmo screener "time": 1.8343869810341857
17 },{
18 "data": "[NbConvertApp] Writing 13814 bytes to __notebook__.ipynb\n",
19 "stream_name": "stderr",
20 "time": 21.97756649000803
21 }{
22 "data": "[NbConvertApp] Converting notebook __notebook__.ipynb to html\n",
23 "stream_name": "stderr",
24 "time": 1.913459221017547
25 },{
26 "data": "[NbConvertApp] Writing 273567 bytes to __results__.html\n",
27 "stream_name": "stderr",
28 "time": 2.0625659110373817
29 }
30
32 Complete. Exited with code 0.
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