{
  "total": 474,
  "topics": [
    {
      "id": 80511,
      "title": "Stage 2 Reruns Complete - LB Finalized",
      "comment_count": 29,
      "views": 0,
      "votes": 30
    },
    {
      "id": 77029,
      "title": "Important Competition Close Specifics",
      "comment_count": 30,
      "views": 0,
      "votes": 42
    },
    {
      "id": 70715,
      "title": "Welcome!",
      "comment_count": 117,
      "views": 0,
      "votes": 37
    },
    {
      "id": 80568,
      "title": "1st place solution",
      "comment_count": 127,
      "views": 0,
      "votes": 398
    },
    {
      "id": 71083,
      "title": "Augmentation for text",
      "comment_count": 30,
      "views": 0,
      "votes": 123
    },
    {
      "id": 74838,
      "title": "List of Toxic Words And Other NLP Resources",
      "comment_count": 4,
      "views": 0,
      "votes": 23
    },
    {
      "id": 306510,
      "title": "Unsupervised clustering to facilitate bagging-ensemble classification on an imbalanced dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 298903,
      "title": "Submission with score 0.000",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 76103,
      "title": "Why you shouldn't use Word2Vec",
      "comment_count": 18,
      "views": 0,
      "votes": 32
    },
    {
      "id": 212598,
      "title": "Looking for teammates ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 176343,
      "title": "Load different embeddings from zip file in quora Insincere Question Classification",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 196307,
      "title": "Using data for a master's thesis.",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 71361,
      "title": "Helpful Material to get started",
      "comment_count": 14,
      "views": 0,
      "votes": 58
    },
    {
      "id": 75735,
      "title": "Faster approach for finding the optimal threshold ",
      "comment_count": 9,
      "views": 0,
      "votes": 86
    },
    {
      "id": 70991,
      "title": "How to decode GoogleNews-vectors-negative300.bin ?",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 70892,
      "title": "Getting Angry ...",
      "comment_count": 157,
      "views": 0,
      "votes": 362
    },
    {
      "id": 146187,
      "title": "Out of Memory on Unzipping",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 140385,
      "title": "Code to extract embedding from zipfile",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 70788,
      "title": "Some reference competitions from the past.!",
      "comment_count": 7,
      "views": 0,
      "votes": 174
    },
    {
      "id": 78150,
      "title": "Kernel only competition a complete waste of time",
      "comment_count": 41,
      "views": 0,
      "votes": 57
    },
    {
      "id": 74150,
      "title": "Conditional Random Fields",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 148324,
      "title": "Build embeddings dictionary without gensim from the embeddings zip file",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 71341,
      "title": "Another point on upvotes and forks...",
      "comment_count": 18,
      "views": 0,
      "votes": 47
    },
    {
      "id": 77968,
      "title": "Load Word2Vec without KeyedVectors ",
      "comment_count": 4,
      "views": 0,
      "votes": 33
    },
    {
      "id": 135323,
      "title": "Struggling to unzip the zipfile",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 121106,
      "title": "embeddings are zipped now!",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 79080,
      "title": "Explainable topics",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 129345,
      "title": "Initializing Weights",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 76852,
      "title": "Why don't we use stemming while using DL models?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 78841,
      "title": "Ideas for word embeddings augmentation",
      "comment_count": 25,
      "views": 0,
      "votes": 56
    },
    {
      "id": 70722,
      "title": "BERT from Google AI?",
      "comment_count": 10,
      "views": 0,
      "votes": 23
    },
    {
      "id": 73941,
      "title": "Read-only file system?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 77886,
      "title": "AssertionError: Torch not compiled with CUDA enabled",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 72699,
      "title": "Installing additional packages",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 79607,
      "title": "5 secrets to becoming a Kaggle grandmaster — Pavel Pleskov",
      "comment_count": 13,
      "views": 0,
      "votes": 29
    },
    {
      "id": 76786,
      "title": "Addicted to Kaggle",
      "comment_count": 12,
      "views": 0,
      "votes": 23
    },
    {
      "id": 80665,
      "title": "1st place solution (public LB)",
      "comment_count": 28,
      "views": 0,
      "votes": 97
    },
    {
      "id": 80542,
      "title": "25th place solution - unfreeze and tune embeddings!",
      "comment_count": 9,
      "views": 0,
      "votes": 26
    },
    {
      "id": 105324,
      "title": "What is Embeddings?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 77656,
      "title": "PyTorch CRF Implementation",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 107495,
      "title": "What is Kernal-Only competition ?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 106388,
      "title": "want to download the trained model",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 71613,
      "title": "Why KERNEL DOWNVOTES should NEVER become a reality",
      "comment_count": 37,
      "views": 0,
      "votes": 3
    },
    {
      "id": 91473,
      "title": "My kernel always disconnected!Pls help!",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 96459,
      "title": "Kernel wont connect for Python Lesson",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 80495,
      "title": "3rd place kernel",
      "comment_count": 47,
      "views": 0,
      "votes": 124
    },
    {
      "id": 80561,
      "title": "7th place solution - bucketing",
      "comment_count": 9,
      "views": 0,
      "votes": 45
    },
    {
      "id": 75856,
      "title": "My kernel always disconnect.",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 77122,
      "title": "What should a newbie do?",
      "comment_count": 18,
      "views": 0,
      "votes": 10
    },
    {
      "id": 71778,
      "title": "3 Methods to combine embeddings",
      "comment_count": 29,
      "views": 0,
      "votes": 146
    },
    {
      "id": 81137,
      "title": "2nd place solution",
      "comment_count": 11,
      "views": 0,
      "votes": 80
    },
    {
      "id": 73389,
      "title": "Is there a way to add data from older versions of a kernel?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 73590,
      "title": "How can I save model in kernel?",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 71184,
      "title": "F1 score optimization",
      "comment_count": 5,
      "views": 0,
      "votes": 44
    },
    {
      "id": 71241,
      "title": "Thresholds and Validation F1 Score",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 81632,
      "title": "4th place solution (with github)",
      "comment_count": 7,
      "views": 0,
      "votes": 65
    },
    {
      "id": 74803,
      "title": "Is there a better way to merge to models in Keras",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71788,
      "title": "Augmenting Text Data",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 87361,
      "title": "Can I use the data sets from this competition for academic purposes?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 81142,
      "title": "Wrote a blogpost with summary of the winning approaches",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 82919,
      "title": "Sentiment analysis / Polarity ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 82948,
      "title": "Will test labels be released?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 80514,
      "title": "22nd Solution - 6 Models and POS Tagging",
      "comment_count": 14,
      "views": 0,
      "votes": 44
    },
    {
      "id": 81697,
      "title": "38th solution, data driven to find embedding weights",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 80790,
      "title": "Transfer Learning BERT, ULMFIT, etc.",
      "comment_count": 8,
      "views": 0,
      "votes": 16
    },
    {
      "id": 79414,
      "title": "A ball park estimate of how pathological the dataset is",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 80931,
      "title": "Top Solution",
      "comment_count": 1,
      "views": 0,
      "votes": 29
    },
    {
      "id": 80499,
      "title": "13th place solution",
      "comment_count": 12,
      "views": 0,
      "votes": 33
    },
    {
      "id": 80718,
      "title": "10th place solution - Meta embedding, EMA, Ensemble",
      "comment_count": 3,
      "views": 0,
      "votes": 26
    },
    {
      "id": 81343,
      "title": "Late Submission",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 79911,
      "title": "Common pitfalls of public kernels",
      "comment_count": 39,
      "views": 0,
      "votes": 71
    },
    {
      "id": 80696,
      "title": "18th place solution from 300-th at Public LB",
      "comment_count": 10,
      "views": 0,
      "votes": 19
    },
    {
      "id": 80494,
      "title": "27th kernel",
      "comment_count": 8,
      "views": 0,
      "votes": 21
    },
    {
      "id": 80527,
      "title": "20th solution - 2 models, various embeds, mixed loss",
      "comment_count": 4,
      "views": 0,
      "votes": 24
    },
    {
      "id": 80926,
      "title": "Shake up visualisation",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 80509,
      "title": "117th solution. Achieve 0.701 PB and 0.703 LB in 4000 seconds.",
      "comment_count": 5,
      "views": 0,
      "votes": 12
    },
    {
      "id": 80970,
      "title": "63th single model 5-fold",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 80503,
      "title": "My Private ranking is incorrect",
      "comment_count": 10,
      "views": 0,
      "votes": 14
    },
    {
      "id": 79720,
      "title": "What tricks did you come up with?",
      "comment_count": 34,
      "views": 0,
      "votes": 30
    },
    {
      "id": 80540,
      "title": "15th Solution - focus on models",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 80577,
      "title": "33rd place solution- FastText embedding",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 80646,
      "title": "Was local val score a good metric to follow?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 80589,
      "title": "44th solution: Add all the randomness or how to improve your ensemble when all your models suck",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 80544,
      "title": "From 400-ish public to 26 private",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 80507,
      "title": "70th position. Pytorchtext model",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 80664,
      "title": "125th solution. 12folds average",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 79459,
      "title": "3 Critical factors that will affect stage-2 score",
      "comment_count": 8,
      "views": 0,
      "votes": 30
    },
    {
      "id": 79547,
      "title": "0.786 HOW IS THIS POSSIBLE?!?!!?",
      "comment_count": 35,
      "views": 0,
      "votes": 17
    },
    {
      "id": 80476,
      "title": "[Kaggle Admins] All old submissions invalidated on \"My Submissions\"",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 80645,
      "title": "What's your ensembling/cv strategy?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 80642,
      "title": "Did anyone successfully used any heavy preprocessing kernel?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 80488,
      "title": "How Kaggle Team rank 0.70235 at bronze-nothing layer?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 80078,
      "title": "Any difference in CV of your pytorch kernel with Stage2 data?",
      "comment_count": 18,
      "views": 0,
      "votes": 1
    },
    {
      "id": 79842,
      "title": "Data Science: Kaggle GRANDMASTER in 6 months? | Pavel Pleskov, Data Nerds",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 80326,
      "title": "Public Leaderboard is 15% of test data?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 80493,
      "title": "Quora Insincere Stage-1 public LB at Closing - pdf file up to #654.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 79445,
      "title": "Quora Challenge Meme Story",
      "comment_count": 16,
      "views": 0,
      "votes": 17
    },
    {
      "id": 80465,
      "title": "A great resource to understand the Transformer",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 79669,
      "title": "Can we see private leaderboard growing live?",
      "comment_count": 4,
      "views": 0,
      "votes": 25
    },
    {
      "id": 80003,
      "title": "Stage 1 vs. stage 2 kernel performance",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 79982,
      "title": "What are your final submission local CV scores",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 79746,
      "title": "Do we get to share our secrets yet?",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 79838,
      "title": "Check if your kernels run on the new stage 2 data",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 80069,
      "title": "Meta Data Guide",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 72160,
      "title": "Kernels-only competition",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 79529,
      "title": "Best wishes and may the force be with you on the private LB.",
      "comment_count": 4,
      "views": 0,
      "votes": 18
    },
    {
      "id": 79718,
      "title": "RFC on my first serious competition",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 79606,
      "title": "A strategy that didn't work",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 79992,
      "title": "Removing my submission",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 78928,
      "title": "Dirty tricks for text classification",
      "comment_count": 36,
      "views": 0,
      "votes": 56
    },
    {
      "id": 79365,
      "title": "Be aware that some LB score is not reliable (trick to get 0.704)",
      "comment_count": 11,
      "views": 0,
      "votes": 12
    },
    {
      "id": 79230,
      "title": "Quora would have done better by improving the data set",
      "comment_count": 10,
      "views": 0,
      "votes": 23
    },
    {
      "id": 79546,
      "title": "I'm curious about 1st's solution.",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 79811,
      "title": "Submitting after competition deadline",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 79593,
      "title": "URGENT. How much runtime buffer are you leaving for stage 2 ?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 79755,
      "title": "Will we have feedback on our kernels after the contest ends?",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 79836,
      "title": "[Kaggle Admins] Which version of the selected kernel will be rerun?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 79641,
      "title": "Way to check if you are gonna survive stage 2",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 79582,
      "title": "Anyone worried their kernel might fail/error?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 78863,
      "title": "Unbelievable ! (see the current No.1)",
      "comment_count": 26,
      "views": 0,
      "votes": 11
    },
    {
      "id": 79556,
      "title": "Fitting tokenizers with validation data might leak information to model",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 79584,
      "title": "Unable to make a submission",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 79636,
      "title": "some problem about public LB?",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 79483,
      "title": "not just trust local cv",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 79611,
      "title": "Unable to make selection",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 79589,
      "title": "Submission & Selection Deadline TODAY!",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 76906,
      "title": "Preferred optimizer?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 79416,
      "title": "The shirt you need for this competition",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 79462,
      "title": "Help me figure out the f1_smart function",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 79405,
      "title": "I have a little advice",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 79162,
      "title": "Reducing embedding dimensions",
      "comment_count": 7,
      "views": 0,
      "votes": 12
    },
    {
      "id": 78952,
      "title": "simulation experiment about shake up",
      "comment_count": 11,
      "views": 0,
      "votes": 15
    },
    {
      "id": 79389,
      "title": "How much time are you guys spending on preprocessing?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 79203,
      "title": "Why so many kernel us batchnorm with momentum=0.5?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 79218,
      "title": "Do long misspell dictionaries count as external data?",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 79196,
      "title": "@Kaggle Team: Please answer!",
      "comment_count": 0,
      "views": 0,
      "votes": 18
    },
    {
      "id": 78570,
      "title": "If the program generates multiple files, will   \"submission.csv\"  be automatically selected in  the second stage ?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 78827,
      "title": "When your local CV gets 0.695+",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 78790,
      "title": "Has anyone tried class-balanced loss?",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 79126,
      "title": "Seriously attention working guys?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 78698,
      "title": "Is it just me or this competition is really looooooong?",
      "comment_count": 12,
      "views": 0,
      "votes": 8
    },
    {
      "id": 79325,
      "title": "Maximum submission allowance",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 79205,
      "title": "Why so many kernel use batchnormalization with the dropout?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 78967,
      "title": "Anyone is thinking post-processing has a significant role?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 79160,
      "title": "No High Scoring Kernels Notification. Loved It! ",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 79140,
      "title": "\"This leaderboard is calculated with all of the test data.\" What does that mean?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 79255,
      "title": "CNN Kernel dies",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 78759,
      "title": "Character level only model",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 79179,
      "title": "Fast threshold calculation",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 77774,
      "title": "What's your local CV score at 0.7 LB ?",
      "comment_count": 19,
      "views": 0,
      "votes": 17
    },
    {
      "id": 79112,
      "title": "Can we use googletrans？",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 79150,
      "title": "Cannot submit - output generated, but submission button is deactivated",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 78664,
      "title": "Run out of GPUs?",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 78896,
      "title": "Is Keras influenced by the Dropout bug?",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 79023,
      "title": "Make a test set",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 78923,
      "title": "Dose any metrics work well?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 78946,
      "title": "Import data in a list or dictionary?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 78771,
      "title": "Why good preprocessing hurts the cv ?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 78930,
      "title": "Order on the leaderboard",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 78321,
      "title": "So many Bitcoins",
      "comment_count": 8,
      "views": 0,
      "votes": 28
    },
    {
      "id": 78789,
      "title": "Batch size during testing",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 78409,
      "title": "prediction Time in Stage 2",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 70900,
      "title": "What kind of question is \"insincere\"?",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 78457,
      "title": "Replacing bad words",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 77976,
      "title": "Target depends on index 😲",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 76716,
      "title": "No luck kaggling? Go for memes! ",
      "comment_count": 18,
      "views": 0,
      "votes": 37
    },
    {
      "id": 78319,
      "title": "Anyone interested in joining a team?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 78528,
      "title": "kernel submit error",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 78533,
      "title": "Implementing Research Paper",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 77949,
      "title": "cv strategy",
      "comment_count": 9,
      "views": 0,
      "votes": 9
    },
    {
      "id": 77678,
      "title": "How to perform model ensembling?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 77758,
      "title": "Cleaning heavily may hurts the performance!?",
      "comment_count": 22,
      "views": 0,
      "votes": 22
    },
    {
      "id": 78123,
      "title": "TfIdf works?",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 77624,
      "title": "how to improve your score and skills?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 77737,
      "title": "How do you choose for random numbers?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 77991,
      "title": "Is it just model ensembling?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 75949,
      "title": "yet another rounder for f1",
      "comment_count": 7,
      "views": 0,
      "votes": 13
    },
    {
      "id": 77919,
      "title": "Loophole in the Rules",
      "comment_count": 11,
      "views": 0,
      "votes": 9
    },
    {
      "id": 78222,
      "title": "How Machine Learning is used at Quora by Engineering team",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 78132,
      "title": "WOW! Two 0.712 teams!",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 76909,
      "title": "False Analysis : Keywords Bias",
      "comment_count": 14,
      "views": 0,
      "votes": 23
    },
    {
      "id": 78371,
      "title": "SVM with NB features",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 78044,
      "title": "Reinforcement Learning for NLP",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 78141,
      "title": "Looking for teamate!",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 78241,
      "title": "Help needed. Did anyone experience this TypeError when calling \"fit\" in Keras?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 78042,
      "title": "Why nobody is using google new vectors",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 78302,
      "title": "Call for a team member",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 78221,
      "title": "Help needed. Does my code of local test set make sense?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 77958,
      "title": "Using compression to iterate faster. Is it against the rules?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 77879,
      "title": "which ensemble methods will you choose",
      "comment_count": 10,
      "views": 0,
      "votes": 14
    },
    {
      "id": 77691,
      "title": "Question guidelines by Official Quora account",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 75816,
      "title": "The rule about external data sources",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 77920,
      "title": "High cv and public lb scores",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 76625,
      "title": "I want the previous version of UI.  ToT",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 78006,
      "title": "Unable to add data to a new kernel",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 77736,
      "title": "How to use extra features ?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 77931,
      "title": "Unreasonable memory usage ",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 78054,
      "title": "Who is able to run a kernel?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71107,
      "title": "Tribute to NxGTR",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 77913,
      "title": "Is WordNet synsets allowed in this competition?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 75906,
      "title": "Speed up your preprocessing",
      "comment_count": 1,
      "views": 0,
      "votes": 28
    },
    {
      "id": 78047,
      "title": "pytorch runtime error",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 77704,
      "title": "Where to find research papers ??",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 77528,
      "title": "Has anyone tried balancing the data?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 77743,
      "title": "CuDNN GRU invalid argument error ",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 76792,
      "title": "Kernels' overabuse has started to annoy me",
      "comment_count": 27,
      "views": 0,
      "votes": 12
    },
    {
      "id": 77864,
      "title": "Unable to submit to competition",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 77836,
      "title": "Do we agree that val loss increase is overfitting?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 77803,
      "title": "Cross Validation Strategy",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 77568,
      "title": "In Search for team",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 77880,
      "title": "can we fixing typos?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 76753,
      "title": "issues with nltk in Kaggle kernels",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 77075,
      "title": "Is tokenizer eating your information ?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 77750,
      "title": "Is it allowed to use data from another kernel?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 76883,
      "title": "Can anyone explain Spatial Dropout in text data",
      "comment_count": 10,
      "views": 0,
      "votes": 13
    },
    {
      "id": 77516,
      "title": " trying to use google's pre trained embedding",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 76201,
      "title": "Misspellings",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 77406,
      "title": "What is the average correlation between your CV folds?",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 77650,
      "title": "Why so many people get 0.699?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 76651,
      "title": "Score in LB and CV with pytorch",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 76986,
      "title": "Why I overfit but get higher LB score?",
      "comment_count": 14,
      "views": 0,
      "votes": 8
    },
    {
      "id": 76563,
      "title": "Commiting via scripts failed ( used almost all available (5368709120) disk space. Disk writes might have failed due to insufficient space.)",
      "comment_count": 13,
      "views": 0,
      "votes": null
    },
    {
      "id": 77317,
      "title": "Has anyone tried Edit Distance for misspellings?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 71105,
      "title": "Let's talk about Transformer?",
      "comment_count": 8,
      "views": 0,
      "votes": 23
    },
    {
      "id": 77466,
      "title": "How much runtime buffer is enough for final submission?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 77268,
      "title": "Why does local cv score differ so much from lb score?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 77323,
      "title": "test set ratios differ from training set",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 75182,
      "title": "what's your  cv  f1 score and lb  f1 score?",
      "comment_count": 88,
      "views": 0,
      "votes": 26
    },
    {
      "id": 77273,
      "title": "Keras custom dictionary",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 76979,
      "title": "Problems with kernels ",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 77163,
      "title": "Question for kernel only！",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 76590,
      "title": "NLP feature extraction",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 76905,
      "title": "speed up your stemmer",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 77120,
      "title": "Any idea to achieve 0.70+ with a Single Model ?",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 76867,
      "title": "How do we decide step_size while including Cylic Learning Rate(CLR) in callbacks?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 76133,
      "title": "Attention layer",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 76391,
      "title": "Optimal threshold leads to score overestimation",
      "comment_count": 6,
      "views": 0,
      "votes": 54
    },
    {
      "id": 77076,
      "title": "CV before and after threshold ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 77092,
      "title": "Question regarding embedding matrix",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 77111,
      "title": "Is data augmentation  allowed in this competion?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 76638,
      "title": "The batch_size magic and why this whole thing makes no sense whatsoever.",
      "comment_count": 5,
      "views": 0,
      "votes": 19
    },
    {
      "id": 76974,
      "title": "LaTeX cannot be used in a Quora question?!",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 74518,
      "title": "Some Puncts and Non-english characters",
      "comment_count": 12,
      "views": 0,
      "votes": 38
    },
    {
      "id": 76627,
      "title": "how much is cleaning helping?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 77067,
      "title": "K-fold cv is high but low LB score",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 76857,
      "title": "What is your CV roc-auc and F1 score",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 75646,
      "title": "A small trick that may helps",
      "comment_count": 7,
      "views": 0,
      "votes": 30
    },
    {
      "id": 77036,
      "title": "run out memory when loading glove embedding",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 76926,
      "title": "Help Needed with Submission",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 76825,
      "title": "not only the score is unstable, but the running time is also unstable",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 76885,
      "title": "int value of token.lower in spacy ...?",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 76872,
      "title": "I am new to kaggle kernel, i need help",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 73069,
      "title": "XGBoost Potential And Features",
      "comment_count": 11,
      "views": 0,
      "votes": 10
    },
    {
      "id": 76406,
      "title": "Pseudo labeling",
      "comment_count": 12,
      "views": 0,
      "votes": 7
    },
    {
      "id": 75507,
      "title": "Can a single model exceed 0.702+",
      "comment_count": 33,
      "views": 0,
      "votes": 29
    },
    {
      "id": 76763,
      "title": "LB or Local cv?Which can display your model's performance?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 76623,
      "title": "unable to submit",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 71946,
      "title": "What  is your single best model doing ?",
      "comment_count": 124,
      "views": 0,
      "votes": 50
    },
    {
      "id": 74214,
      "title": "Improvements reported and what worked for me",
      "comment_count": 64,
      "views": 0,
      "votes": 129
    },
    {
      "id": 74776,
      "title": "I am getting memory error while preprocessing training data",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 76583,
      "title": "[Question] Was the popular attention script correct?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 76478,
      "title": "local score much higher than LB",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 76409,
      "title": "What kind of post-processing we can do?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 76595,
      "title": "Looking for team member ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 76238,
      "title": "Why pos_weight didn't work?",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 76213,
      "title": "What will be your final submission choice?",
      "comment_count": 17,
      "views": 0,
      "votes": 4
    },
    {
      "id": 76455,
      "title": "Kernel interactive mode showing incorrect memory usage?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 76411,
      "title": "What kind of improvements we can do to existing the model?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 76313,
      "title": "Proper logging for Kernel Competitions",
      "comment_count": 9,
      "views": 0,
      "votes": 0
    },
    {
      "id": 76271,
      "title": "[Updated with CV results] Simulating shakeup from a simulated stage 2 test set",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 75753,
      "title": "Is your best model robust or sensitive?",
      "comment_count": 29,
      "views": 0,
      "votes": 15
    },
    {
      "id": 76442,
      "title": "Saving files across Kernel restart",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 76376,
      "title": "What are the meanings of these word",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 72983,
      "title": "A lot of questions marked as insincere look completely sincere",
      "comment_count": 11,
      "views": 0,
      "votes": 18
    },
    {
      "id": 76377,
      "title": "validation split",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 76023,
      "title": "Avoid Kernel running time exceed error for the second stage",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 71429,
      "title": "Funnily Mislabeled Samples",
      "comment_count": 26,
      "views": 0,
      "votes": 29
    },
    {
      "id": 76361,
      "title": "why it will stop at the 3 epoch during the training while using keras",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 75903,
      "title": "Synthetic test data? ",
      "comment_count": 8,
      "views": 0,
      "votes": 15
    },
    {
      "id": 76092,
      "title": "Notebook finishes execution without completing all epochs",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 76453,
      "title": "寻中国队友！",
      "comment_count": 1,
      "views": 0,
      "votes": -14
    },
    {
      "id": 76162,
      "title": "Run time of single best model?",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 73576,
      "title": "Your runtime exceeds the Gpu kernel max time",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 76148,
      "title": "Very confused on what an attention layer is",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 72914,
      "title": "insincere words like bitcoin and cryptocurrency",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 75798,
      "title": "is there a leak?",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 76003,
      "title": "Things that didn't work",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 76154,
      "title": "Correct way to implement pseudo labelling",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 76149,
      "title": "Tokenizer not working ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 76097,
      "title": "Best linear model",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 76147,
      "title": "Did anyone have any luck with blending all 3 embeddings?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 75845,
      "title": "Data Augmentation",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 76088,
      "title": "[Question]Gemsim to load keyed vectors",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 75821,
      "title": "One way to simulate shakeup from the stage 2 test set",
      "comment_count": 0,
      "views": 0,
      "votes": 18
    },
    {
      "id": 75281,
      "title": "Is the training set and test set distributed differently?",
      "comment_count": 23,
      "views": 0,
      "votes": null
    },
    {
      "id": 75910,
      "title": "How do we identify insincere questions? ",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 75908,
      "title": "Kernel Running time!",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 75751,
      "title": "How to load embeddings faster?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 75895,
      "title": "pytorch cyclic.learning.rate",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 75885,
      "title": "can we use bert pre-trained model?",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 75577,
      "title": "Cannot Submit",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 75108,
      "title": "Possible problem with most kernels",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 75772,
      "title": "Name not reflecting in leaderboard after submission",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 75670,
      "title": "Something for starters in NLP",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 75745,
      "title": "Noob: Trouble Processing Large Data",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 75416,
      "title": "Text preprocessing misunderstandings",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 75310,
      "title": "About cross validation",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 75381,
      "title": "What do you think about the public test set?",
      "comment_count": 19,
      "views": 0,
      "votes": 15
    },
    {
      "id": 74953,
      "title": "kernel appears to have died",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 75180,
      "title": "how to find the index for missing questions?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 75557,
      "title": "CuDNNLSTM vs CuDNNGRU ? Which one works better and in which kind of datsets respectively?",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 74833,
      "title": "Where to start?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 75467,
      "title": "TF estimator don't produce any log",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 75157,
      "title": "Conv1D",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 75549,
      "title": "Can I use Bert?",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 74333,
      "title": "Keras reproduce your score ",
      "comment_count": 27,
      "views": 0,
      "votes": 14
    },
    {
      "id": 75308,
      "title": "Private test set",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 75522,
      "title": "a4d47a71254401cedbd5",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 71013,
      "title": "Resource Exhausted issue as train data is large",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 75409,
      "title": "How to use weights of 5 fold cross validation models in keras ?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 71044,
      "title": "Problems committing kernels (training gets canceled half-way)",
      "comment_count": 11,
      "views": 0,
      "votes": 9
    },
    {
      "id": 74449,
      "title": "Batch Normalization & NLP ?",
      "comment_count": 8,
      "views": 0,
      "votes": 15
    },
    {
      "id": 75374,
      "title": "Which pretrained models are whitelisted?",
      "comment_count": 8,
      "views": 0,
      "votes": -1
    },
    {
      "id": 75319,
      "title": "What is the number of max_features you use?Should we use max_features to limit the size of embedding matrix?",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 75425,
      "title": "What should be maxlen parameter ?",
      "comment_count": 2,
      "views": 0,
      "votes": -2
    },
    {
      "id": 75243,
      "title": "New to Kaggle and named my submission file my_submission.csv. Can I rename it submission.csv to submit it?",
      "comment_count": 8,
      "views": 0,
      "votes": -1
    },
    {
      "id": 74739,
      "title": "Newbie...Kaggle workflow question",
      "comment_count": 4,
      "views": 0,
      "votes": -1
    },
    {
      "id": 75004,
      "title": "CNN vs Random Forest",
      "comment_count": 6,
      "views": 0,
      "votes": -1
    },
    {
      "id": 75284,
      "title": "Notebook hangs",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 74999,
      "title": "Warning - temp files must be named alphabetically after 'submission.csv'.",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 75084,
      "title": "Logs are not completely shown!",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 70780,
      "title": "The year of transfer learning in NLP?",
      "comment_count": 4,
      "views": 0,
      "votes": 45
    },
    {
      "id": 75046,
      "title": "Unable to submit",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 75115,
      "title": "GPU On vs. Off",
      "comment_count": 4,
      "views": 0,
      "votes": -1
    },
    {
      "id": 74630,
      "title": "commit and run is too slow",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 74810,
      "title": "A Strange Problem",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 74466,
      "title": "[Beginer][Keras]Keep getting 0 as prediction for every input",
      "comment_count": 6,
      "views": 0,
      "votes": -1
    },
    {
      "id": 72627,
      "title": "Blending is all you need",
      "comment_count": 20,
      "views": 0,
      "votes": 87
    },
    {
      "id": 74879,
      "title": "Can't click submit \"Submit to Competition\"",
      "comment_count": 11,
      "views": 0,
      "votes": 0
    },
    {
      "id": 74873,
      "title": "Deterministic results in PyTorch: The slings and arrows of outrageous fortune",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 74527,
      "title": "New Notebook docker image is broken",
      "comment_count": 11,
      "views": 0,
      "votes": 2
    },
    {
      "id": 74951,
      "title": "Kernel Keeps dying while reading word vectors",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 74823,
      "title": "GPU runtime limits 2h",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 74886,
      "title": "why dose not the words_vector work?",
      "comment_count": 1,
      "views": 0,
      "votes": -2
    },
    {
      "id": 70880,
      "title": "ULMFit,Transformer Models for classification (SoTA Approaches)",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 74136,
      "title": "Recommand some top papers in NLP",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 74340,
      "title": "Confusion regarding execution time limit",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 74524,
      "title": "Question about extra/external datasets",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 74692,
      "title": "Pytorch runtime error",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 74627,
      "title": "How to view the problem: local cv rise while lb decrease",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 74152,
      "title": "Meta Features And Correlation Heatmap",
      "comment_count": 0,
      "views": 0,
      "votes": 21
    },
    {
      "id": 74628,
      "title": "Can we solve the math functions?feature progress!",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 74149,
      "title": "Temporal Convolutions Network",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 74509,
      "title": "I can't click the 'Submit to Competition'",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 74490,
      "title": "what batch size are you using ?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 74357,
      "title": "second stage with pretrained model! help new kaggler",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 73341,
      "title": "How to Get Reproducible Results with CuDNN Networks",
      "comment_count": 12,
      "views": 0,
      "votes": 29
    },
    {
      "id": 74201,
      "title": "Capsule Network",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 73982,
      "title": "Has anyone tried SRU in this competition?",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 73744,
      "title": "How to train to maximize F1 score instead of minimizing binary cross entropy",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 74175,
      "title": "Interview Request",
      "comment_count": 4,
      "views": 0,
      "votes": -8
    },
    {
      "id": 73909,
      "title": "Please Kaggle you should pin the FAQ here ",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 74074,
      "title": "What about guessing \"sincere\" all the time?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 73596,
      "title": "[Offtopic] : Quora hacked, about 100 million user accounts leaked",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 71408,
      "title": "Counterintuitive Feature?",
      "comment_count": 7,
      "views": 0,
      "votes": 17
    },
    {
      "id": 72947,
      "title": "How to deal with class imbalance in this case ?",
      "comment_count": 8,
      "views": 0,
      "votes": 15
    },
    {
      "id": 74043,
      "title": "Any one SF Bay area?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 73646,
      "title": "Why don't some kernals use GoogleNews for embedding?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 73421,
      "title": "14 GB RAM and 2 hours  is  limited for Tensorflow users",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 73849,
      "title": "Where is the submission button in Kernel",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 73865,
      "title": "exceeds kernel execution runtime",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 73663,
      "title": "score between local cv and LB",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 73916,
      "title": "How come CNN takes more time than LSTM?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 72332,
      "title": "Spelling mistakes???",
      "comment_count": 11,
      "views": 0,
      "votes": null
    },
    {
      "id": 73159,
      "title": "How to deal with mislabelled problem",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 71862,
      "title": "Suggestions for effective use of memory?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 72507,
      "title": "Embeddings",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 73553,
      "title": "Why is my gpu open but I can't use it to speed?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 72519,
      "title": "Interesting paper that measures the difficulty of text classification task",
      "comment_count": 13,
      "views": 0,
      "votes": 35
    },
    {
      "id": 72120,
      "title": "Frequent Spelling Mistakes : Qoura, Mastrubation and Demonitisation",
      "comment_count": 24,
      "views": 0,
      "votes": 49
    },
    {
      "id": 73310,
      "title": "Can I train on my local computer?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 72509,
      "title": "Large variations in results in identical kernel runs",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 72152,
      "title": "Are you using the right tokenizer for your embeddings?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 72969,
      "title": "Attention is all you need",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 72703,
      "title": "Advice to a beginner. ",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 73009,
      "title": "About the new submission mechanism",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 72770,
      "title": "Pytorch and determinism",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 73097,
      "title": "Help needed in Cleaning the text as my code is hanging  kernel,",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 72893,
      "title": "Should pre-trained Embedding Matrix be normalized before using it for seq-2-seq attention learning based sentiment analysis?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 72704,
      "title": "Getting 0.000 score when we submit the submission.csv",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 72932,
      "title": "Underestimated learning curves and bias/variance problem",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 72940,
      "title": "How to submit",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 72848,
      "title": "Save insincere questions to a txt file",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 72578,
      "title": "Separate script files",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 72040,
      "title": "Public LB variation",
      "comment_count": 16,
      "views": 0,
      "votes": 31
    },
    {
      "id": 72731,
      "title": "Getting packages added to future versions of  kernel docker image",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 72684,
      "title": "Why my notebook is interrupted and doesn't produce output?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71952,
      "title": "lets make a team !?",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 71789,
      "title": "Ading   features ! Does it make sense? And how",
      "comment_count": 14,
      "views": 0,
      "votes": 7
    },
    {
      "id": 72505,
      "title": "How exactly is the overall F1-score for this contest being evaluated?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 72544,
      "title": "Does off-the-shelf tokenizers violate the external data limit?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 72423,
      "title": "Kaggle Kernel no Output",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 72539,
      "title": "Can not submit submission file.",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 72279,
      "title": "Are we allowed to install custom package?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 70821,
      "title": "List of state of the art papers for text classification",
      "comment_count": 3,
      "views": 0,
      "votes": 57
    },
    {
      "id": 72429,
      "title": "What are tree kernels?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 72205,
      "title": "Imbalanced data problem needs to be solved",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 72105,
      "title": "Relation to sentiment analysis",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 72125,
      "title": "When you submit the kernel, can you upload the network parameters ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71311,
      "title": "FastAI. PyTorch.  NotImplementedError:",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 72250,
      "title": " Retrofitting with Semantic Lexicons matrix math ?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 72186,
      "title": "Can we connect to the Internet to update some libraries? ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 72027,
      "title": "Performance issues on my kernel",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71867,
      "title": "Bug? Feature? Seeing kernels not fully materialised",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 71711,
      "title": "Java not installed on Notebook for python?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 72051,
      "title": "How to downgrade PyTorch 0.4.1 to 0.3.x",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 71911,
      "title": "Threshold for F1 Score?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 71896,
      "title": "Multiple output files",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 71602,
      "title": "\"Force Save\" button in kernel?",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 71486,
      "title": "Should balance the data?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 70978,
      "title": "When does something become an \"external data source\"?",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 70975,
      "title": "What have you learned from doing Kaggle competitions?",
      "comment_count": 27,
      "views": 0,
      "votes": 24
    },
    {
      "id": 71756,
      "title": "Overfitting?? Any ideas.",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 71748,
      "title": "What  kernel competition means?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71811,
      "title": "Preinstalled packages and mismatched versions",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71774,
      "title": "Impossible submission",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71519,
      "title": "Capsule Networks",
      "comment_count": 15,
      "views": 0,
      "votes": 2
    },
    {
      "id": 71106,
      "title": "[R] -- Using \"GoogleNews-vectors-negative300.bin\"",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 71372,
      "title": "Why no cleaning.?",
      "comment_count": 10,
      "views": 0,
      "votes": 8
    },
    {
      "id": 71350,
      "title": "Validation",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 71280,
      "title": "Techniques for mislabeled data",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 71549,
      "title": "Allowing Multiple Submission Files In kernels",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 71545,
      "title": "Removing rare words from training data",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71274,
      "title": "Request Fasttext .bin file instead of .vec",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 71712,
      "title": "How to get reproducible results with CuDNN layers",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71757,
      "title": "How to improve the running speed?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71802,
      "title": "Team up for  feature engineering",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 70956,
      "title": "Some interesting positive samples",
      "comment_count": 2,
      "views": 0,
      "votes": 26
    },
    {
      "id": 71421,
      "title": "Please delete my score on the leaderboard",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 71639,
      "title": "What are effective hyperparameters for RNN that are helpful?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71624,
      "title": "EXTERNAL DATA",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 71603,
      "title": "Single split vs CV",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71467,
      "title": "Explore limits & Error Analysis of SRk’s Glove+GRU",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 71485,
      "title": "At current rank 35, kinda stuck",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 71466,
      "title": "Why OOF in Logistic Regression ?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71520,
      "title": "Kernel dies when loading wiki-news-300d-1M.vec ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 70941,
      "title": "team anyone ?",
      "comment_count": 4,
      "views": 0,
      "votes": -1
    },
    {
      "id": 70818,
      "title": "Thanks!",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 71152,
      "title": "Using Google News Embeddings",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 71177,
      "title": "How to make sure that model won't be trained from scratch, at the time of \"private\" test score validation ?",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 70867,
      "title": "Any Quora Contributors out there?",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 70841,
      "title": "Including F1 metric in Keras",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 71360,
      "title": "How long does the script run?",
      "comment_count": 2,
      "views": 0,
      "votes": -2
    },
    {
      "id": 71082,
      "title": "Does drop in internet connection impact committing ?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 71218,
      "title": "Insincere Questions Clarificatoin",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 71069,
      "title": "Why f-1 score?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 70974,
      "title": "Do not forget that the submission file name is \"submission.csv\" !",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 71224,
      "title": "Sampling the Data for higher F1 score",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 71183,
      "title": "Shout out if there is a module you want included in the Docker.  ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 71098,
      "title": "NN model and its performance",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 70921,
      "title": "What is the timeout?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 70967,
      "title": "More digits on LB?",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 70825,
      "title": "CNN for text classification",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 70828,
      "title": "Can we use datasets that are used to build the given embeddings?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 71261,
      "title": "你好！",
      "comment_count": 1,
      "views": 0,
      "votes": -12
    },
    {
      "id": 70746,
      "title": "No Fasttext pre-trained on Common Crawl ? ",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 71012,
      "title": "How to add supporting utils.py for the kernel ?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 70737,
      "title": "Vowpal Wabbit",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 70866,
      "title": "Weka/Meka",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 70853,
      "title": "Ideas for building classifiers for unbalanced training data",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 70865,
      "title": "I can not submit my result.",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 70819,
      "title": "Can we have apex added to the gpu docker image?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 70769,
      "title": "Is Topic Modeling still relevant?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 70747,
      "title": "F1 Score Evaluation?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    }
  ],
  "errors": []
}