{
  "total": 311,
  "topics": [
    {
      "id": 440697,
      "title": "Offset Events",
      "comment_count": 43,
      "views": 0,
      "votes": 68,
      "reused": true
    },
    {
      "id": 437182,
      "title": "New to Kaggle or Machine Learning? Check this out ~",
      "comment_count": 6,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 459898,
      "title": "Recap of Competition - Congratulations to the Winners!",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 437183,
      "title": "Looking for a Team Megathread",
      "comment_count": 161,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 437221,
      "title": "This Competition has an Official Discord Channel",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 441597,
      "title": "Requirements of submission file (Submission Scoring Error)",
      "comment_count": 6,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 459715,
      "title": "1st place solution",
      "comment_count": 33,
      "views": 0,
      "votes": 169,
      "reused": true
    },
    {
      "id": 545521,
      "title": "Notebook Threw Exception",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 446725,
      "title": "Gradient Boosting or Neural Network",
      "comment_count": 18,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 459648,
      "title": "40th Place Solution - Improving prediction with FFT-based data cleaning",
      "comment_count": 1,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 441470,
      "title": "A possible deep learning approach",
      "comment_count": 28,
      "views": 0,
      "votes": 70,
      "reused": true
    },
    {
      "id": 458455,
      "title": "Meme Thread",
      "comment_count": 16,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 459627,
      "title": "2nd Place Solution",
      "comment_count": 27,
      "views": 0,
      "votes": 177,
      "reused": true
    },
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      "id": 466573,
      "title": "Ablation Study on Publicly-Shared Solutions through Late Submission",
      "comment_count": 1,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 459766,
      "title": "5th place solution",
      "comment_count": 10,
      "views": 0,
      "votes": 63,
      "reused": true
    },
    {
      "id": 437417,
      "title": "Literature Review on detecting sleep onset and wake from wrist-worn accelerometer data",
      "comment_count": 1,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 462797,
      "title": "152th solution",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 459596,
      "title": "11th Place - GRU, CNN, Transformer - GPU Deep Learning!",
      "comment_count": 59,
      "views": 0,
      "votes": 186,
      "reused": true
    },
    {
      "id": 462411,
      "title": "685th Place Solution for the Child Mind Institute - Detect Sleep States Competition",
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      "views": 0,
      "votes": 5
    },
    {
      "id": 462228,
      "title": "86th Place Solution for the Child Mind Institute - Detect Sleep States Competition",
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      "votes": 4,
      "reused": true
    },
    {
      "id": 460274,
      "title": "14th Place Solution",
      "comment_count": 5,
      "views": 0,
      "votes": 41,
      "reused": true
    },
    {
      "id": 460617,
      "title": "8th Place Solution for the Child Mind Institute - Detect Sleep States Competition",
      "comment_count": 5,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 452940,
      "title": "Detecting sleep using UNet(2D)",
      "comment_count": 172,
      "views": 0,
      "votes": 206,
      "reused": true
    },
    {
      "id": 461154,
      "title": "41st Place Solution for the Child Mind Institute - Detect Sleep States Competition",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 459604,
      "title": "6th Place Solution - BiLSTM-UNet",
      "comment_count": 15,
      "views": 0,
      "votes": 58,
      "reused": true
    },
    {
      "id": 459599,
      "title": "3rd place solution - GRU, UNET and LGB!",
      "comment_count": 26,
      "views": 0,
      "votes": 77,
      "reused": true
    },
    {
      "id": 459637,
      "title": "4th Place Solution - Nikhil's Part (Modified Unet + Transformer and Weighted Box Fusion)",
      "comment_count": 6,
      "views": 0,
      "votes": 68,
      "reused": true
    },
    {
      "id": 460730,
      "title": "146th place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 459613,
      "title": "9th Place (chris' part; \"double gru\" model)",
      "comment_count": 2,
      "views": 0,
      "votes": 22,
      "reused": true
    },
    {
      "id": 460516,
      "title": "Thoughts on metric",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 460499,
      "title": "13th place solution [K.T. part]",
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      "views": 0,
      "votes": 23
    },
    {
      "id": 460372,
      "title": "9th Place Solution",
      "comment_count": 0,
      "views": 0,
      "votes": 18
    },
    {
      "id": 460371,
      "title": "16th Place Solution",
      "comment_count": 2,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 460177,
      "title": "15th Place Solution",
      "comment_count": 1,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 460337,
      "title": "23rd Place Solution (12th Public)",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 460143,
      "title": "858th Place Solution: MLP-BiGRU",
      "comment_count": 1,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 460276,
      "title": "9th Place Solution - tomo’s Part",
      "comment_count": 0,
      "views": 0,
      "votes": 23
    },
    {
      "id": 459885,
      "title": "39th Place Solution",
      "comment_count": 3,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 460112,
      "title": "77th solution - UNet1D -> WaveNet, Bi-GRU",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 460072,
      "title": "Solutions without CNN and RNN",
      "comment_count": 0,
      "views": 0,
      "votes": -6
    },
    {
      "id": 459894,
      "title": "10th Place Solution",
      "comment_count": 4,
      "views": 0,
      "votes": 32,
      "reused": true
    },
    {
      "id": 460027,
      "title": "203 Place Solution for the Detect Sleep States Competition",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 460021,
      "title": "29th Place Solution and Initial Solution",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 459999,
      "title": "Sleep detection",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 459598,
      "title": "7th Place Solution - Wavenet and Some Tricks",
      "comment_count": 10,
      "views": 0,
      "votes": 70,
      "reused": true
    },
    {
      "id": 459597,
      "title": "4th Place Solution (penguin46 part)",
      "comment_count": 4,
      "views": 0,
      "votes": 64,
      "reused": true
    },
    {
      "id": 459703,
      "title": "13th place solution [team summary]",
      "comment_count": 2,
      "views": 0,
      "votes": 45,
      "reused": true
    },
    {
      "id": 459865,
      "title": "79th Place Solution. 🥈",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 459796,
      "title": "Leaderboard Shakeup",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 459639,
      "title": "87th Place solution, 2D Object Detection",
      "comment_count": 1,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 459769,
      "title": "108th place brief solution",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 459626,
      "title": "Congratulations to new Kaggle Competitions GM!",
      "comment_count": 1,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 459742,
      "title": "9th Place (Youri' part; some post-processing)",
      "comment_count": 1,
      "views": 0,
      "votes": 28,
      "reused": true
    },
    {
      "id": 459761,
      "title": "27th solution",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 459757,
      "title": "Solution - Place 154",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 459754,
      "title": "Simple ideas",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 459678,
      "title": "9th Place Solution - shu421 part (1D WaveNet + Transformer + GRU)",
      "comment_count": 3,
      "views": 0,
      "votes": 38,
      "reused": true
    },
    {
      "id": 459744,
      "title": "155th solution",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 459617,
      "title": "Scoring error if it takes 30 minutes for scoring?",
      "comment_count": 2,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 459730,
      "title": "159th solution 🥉",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 459671,
      "title": "26th solution - 1D Unet with 1D CNN, Hybrid CNN-Transformer and WBF",
      "comment_count": 2,
      "views": 0,
      "votes": 20,
      "reused": true
    },
    {
      "id": 459699,
      "title": "🥉 146th place – 9 models 1h inference - Segmentation through UNet",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 459669,
      "title": "110th Solution : My Original GRU Model & Tuned Unet2D Model",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 459610,
      "title": "75th Place Detailed Solution - Spec2DCNN + CenterNet + Transformer + NMS",
      "comment_count": 6,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 459636,
      "title": "1790th Place Solution - code details, attempts and insights",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 459632,
      "title": "33th Place Solution - 1D-Unet with GRU, Detect repeating signals",
      "comment_count": 0,
      "views": 0,
      "votes": 23
    },
    {
      "id": 459494,
      "title": "Annotations quality - hidden test set",
      "comment_count": 7,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 459616,
      "title": "39th - Implementation of PrecTime Model from Arxiv Paper in This Competition.",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 459583,
      "title": "What I learned in the Deep Sleep Competition",
      "comment_count": 1,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 459595,
      "title": "34th Place solution",
      "comment_count": 5,
      "views": 0,
      "votes": 29,
      "reused": true
    },
    {
      "id": 438558,
      "title": "Working on competition code within Kaggle",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 441286,
      "title": "LightGBM taking up too much memory!",
      "comment_count": 11,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 459511,
      "title": "I couldn't rectify notebook out of memory. Everytime error occurs it accounted as submission. My model accuracy is 92.536. thanks.",
      "comment_count": 2,
      "views": 0,
      "votes": -5,
      "reused": true
    },
    {
      "id": 459396,
      "title": "When predicting Step as correct if it lies in 30 min range for onset or wakeup, the algorithm got 89% accuracy. But when using AP scores, it got only 0.37%",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 447348,
      "title": "👀 Possibilities of Shakeup 🆙",
      "comment_count": 10,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 459399,
      "title": "A sad story",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 459446,
      "title": "Making submissions close to the deadline",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 458948,
      "title": "[Solverd] Notebook session never starts",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 459266,
      "title": "First Timer at Kaggle: train_series.parquet and test_series.parquet",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 456143,
      "title": "Releasing my findings.",
      "comment_count": 19,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 459114,
      "title": "Submission Scoring Error",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 459089,
      "title": "Looks like an interesting final sprint!",
      "comment_count": 11,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 458274,
      "title": "[Solved]Keeping Submission Score Error",
      "comment_count": 14,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 459146,
      "title": "Submission Scoring Error",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 444953,
      "title": "Submission Scoring Error",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 459107,
      "title": "High level RNN approach ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 459040,
      "title": "Are transformers working? Welc to discuss",
      "comment_count": 2,
      "views": 0,
      "votes": -3,
      "reused": true
    },
    {
      "id": 458705,
      "title": "Kaggle went down and now my submission takes much longer than expected",
      "comment_count": 4,
      "views": 0,
      "votes": -2,
      "reused": true
    },
    {
      "id": 458862,
      "title": "Aggregate the dataframe based on 'series_id' and 'event': Post processing",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 457116,
      "title": "submission scoring error",
      "comment_count": 9,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 458761,
      "title": "Single row submission and empty submission files?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 458854,
      "title": "Modeling Child Sleep Events - Why?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 458822,
      "title": "NMS (Non-Maximum Suppression): Post processing",
      "comment_count": 2,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 437658,
      "title": "Introduction to LSTMs",
      "comment_count": 2,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 447882,
      "title": "CV vs LB scores",
      "comment_count": 49,
      "views": 0,
      "votes": 45,
      "reused": true
    },
    {
      "id": 458546,
      "title": "Pandas to_datetime() alternative approach",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 457732,
      "title": "Possible limitations of the scoring metric",
      "comment_count": 8,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 458364,
      "title": "Why all my scores are zero (0) ? What am I missing ?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 457951,
      "title": "My SUB score = 0 ?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 458171,
      "title": "How long until we can see the private leaderboard?",
      "comment_count": 2,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 458250,
      "title": "Can we estimate volume of private test data with “Run” on submission vs Scoring time?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 457694,
      "title": "Is there any tricks in post processing?",
      "comment_count": 9,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 457534,
      "title": "What's the best way to ensemble multiple models?",
      "comment_count": 6,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 449151,
      "title": "What happened so far? A quick summary of the discussions",
      "comment_count": 13,
      "views": 0,
      "votes": 99,
      "reused": true
    },
    {
      "id": 456954,
      "title": "What happened to the 12th place",
      "comment_count": 5,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 453869,
      "title": "Postprocessing",
      "comment_count": 6,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 457379,
      "title": "sending problems",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 451950,
      "title": "Python implementation of the metric seems wrong",
      "comment_count": 7,
      "views": 0,
      "votes": 31,
      "reused": true
    },
    {
      "id": 457251,
      "title": "Collaboration of teams?",
      "comment_count": 2,
      "views": 0,
      "votes": -6,
      "reused": true
    },
    {
      "id": 457238,
      "title": "How using hours can deal with device-unweared problem?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 437616,
      "title": "How to handle such large dataset ? ",
      "comment_count": 19,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 456906,
      "title": "Hello everyone, when I use RNN to implement, I always experience memory explosion. What should I do",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 456096,
      "title": "Block in progress? ",
      "comment_count": 3,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 456516,
      "title": "Much faster event AP computation",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 453062,
      "title": "Want to install Lightgbm == 4.0.0",
      "comment_count": 8,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 456177,
      "title": "unlabeled events",
      "comment_count": 3,
      "views": 0,
      "votes": 20,
      "reused": true
    },
    {
      "id": 455828,
      "title": "Why does the 'event_detection_score' get different when the submission 'score' all have the same value across series ids?",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 455861,
      "title": "transformed anglez feature",
      "comment_count": 3,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 437264,
      "title": "Time series materials for reference",
      "comment_count": 13,
      "views": 0,
      "votes": 46,
      "reused": true
    },
    {
      "id": 455939,
      "title": "How code requirements work - Submit Inference only or both training and Inference",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 437274,
      "title": "🔥Papers with Code for this Competition",
      "comment_count": 17,
      "views": 0,
      "votes": 143,
      "reused": true
    },
    {
      "id": 455075,
      "title": "Do you know past similar competition?",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 454071,
      "title": "Update on Evaluation Metric Bug",
      "comment_count": 11,
      "views": 0,
      "votes": 38,
      "reused": true
    },
    {
      "id": 437567,
      "title": "A Question about the Test Dataset",
      "comment_count": 25,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 447937,
      "title": "Is LB Test data only 12 minutes per person? [Answer: NO]",
      "comment_count": 16,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 454962,
      "title": "The elegant way to generate the Gaussian targets with vectorization",
      "comment_count": 1,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 453267,
      "title": "[LB=0.447] HDCZA - a pure heuristic approach withought training any models",
      "comment_count": 5,
      "views": 0,
      "votes": 37,
      "reused": true
    },
    {
      "id": 452790,
      "title": "Is it ok to use trained model on submission",
      "comment_count": 11,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 454121,
      "title": "Submission Actual Test Data",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 453275,
      "title": " hidden test set used for scoring",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 450983,
      "title": "Computer Vision Approach",
      "comment_count": 19,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 453561,
      "title": "How do you deal with the test data preprocessing?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 453427,
      "title": "How to design target variables for predicting  onset,  wakeup ？Classification or regression？",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 452632,
      "title": "Enmo sensitivity (small measurements)",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 441638,
      "title": "How to deal with sleepless periods",
      "comment_count": 16,
      "views": 0,
      "votes": 36,
      "reused": true
    },
    {
      "id": 452375,
      "title": "Kaggle being weird",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 446899,
      "title": "XGBoost 2.0.0 (whl file)",
      "comment_count": 2,
      "views": 0,
      "votes": 35,
      "reused": true
    },
    {
      "id": 452606,
      "title": "GRUNET and KLDivLoss",
      "comment_count": 3,
      "views": 0,
      "votes": 20,
      "reused": true
    },
    {
      "id": 452535,
      "title": "[Duplicated] train events which only has one event",
      "comment_count": 5,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 448288,
      "title": "RNN Critical Point Baselines | How to Improve From Here",
      "comment_count": 22,
      "views": 0,
      "votes": 50,
      "reused": true
    },
    {
      "id": 451372,
      "title": "The Potential of Transformer ",
      "comment_count": 26,
      "views": 0,
      "votes": 47,
      "reused": true
    },
    {
      "id": 451885,
      "title": "How to label \"not wearing the device\" events in the submission?",
      "comment_count": 4,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 452338,
      "title": "Is the step the same in train/test sets?",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 452347,
      "title": "Relevance of non-wear period prediction",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 452315,
      "title": " Assigning `score` values using ML",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 451403,
      "title": "Filter non wear device",
      "comment_count": 1,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 451954,
      "title": "How can I resolve this error?",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 447593,
      "title": "Tips for Efficient Fast Inference",
      "comment_count": 18,
      "views": 0,
      "votes": 22,
      "reused": true
    },
    {
      "id": 451896,
      "title": "How to optimize model hyperparameters",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 437420,
      "title": "Use of Temporal Graph Neural Networks to Detect Sleep States",
      "comment_count": 4,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 451388,
      "title": "Released a Starter Notebook - How to perform CV in this competition",
      "comment_count": 7,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 442762,
      "title": " \"step\" Vs \"timestamp\" which column should we use?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 451537,
      "title": "Kernel stats in details",
      "comment_count": 0,
      "views": 0,
      "votes": 21
    },
    {
      "id": 449004,
      "title": "Kernel upvotes vs forks - we have a problem",
      "comment_count": 18,
      "views": 0,
      "votes": 47,
      "reused": true
    },
    {
      "id": 437920,
      "title": "What defines a \"night\"?",
      "comment_count": 9,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 451333,
      "title": "About submission",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 438044,
      "title": "👀 [EDA] Visualization of Train Data",
      "comment_count": 2,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 450803,
      "title": "score 0-1  ?",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 451058,
      "title": "Test set labels",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 451179,
      "title": "Are false positives punished?",
      "comment_count": 3,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 445942,
      "title": "Tutorial template for submission",
      "comment_count": 7,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 450768,
      "title": "Does predicting for missing labels or unlabeled data impact the Leaderboard (LB) score?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 450776,
      "title": "Beginner's Question",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 448567,
      "title": "does not accept the code",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 450468,
      "title": "Using CNN for Time Series data",
      "comment_count": 6,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 450418,
      "title": "Running Successfully, but notebook timeout Strange! Any help",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 450427,
      "title": "Question to organizers: Is the GNU AGPL 3.0 license allowed in this competition?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 448716,
      "title": "How to get your submission timing?",
      "comment_count": 7,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 448878,
      "title": "Is Score Calculated for Onset/Wakeup Pairs or Either Event Alone?",
      "comment_count": 2,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 448857,
      "title": "code competitions are fun (sarcasm)",
      "comment_count": 4,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 449017,
      "title": "Preparation of train data for RNN models",
      "comment_count": 1,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 448888,
      "title": "Evaluation Metric",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 448683,
      "title": "Data Inconsistency",
      "comment_count": 21,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 446125,
      "title": "Video available. Introductory webinar related to the competition",
      "comment_count": 5,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 441047,
      "title": "Best Practices in Tackling BigData-Scale Tasks",
      "comment_count": 47,
      "views": 0,
      "votes": 43,
      "reused": true
    },
    {
      "id": 448771,
      "title": "How to find the score",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 440170,
      "title": "80% reducted datasets",
      "comment_count": 5,
      "views": 0,
      "votes": 47,
      "reused": true
    },
    {
      "id": 448218,
      "title": "How to structure data for an LSTMs or other models",
      "comment_count": 1,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 448519,
      "title": "Notebook RAM increase means you can read in the entire train parquet file",
      "comment_count": 1,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 442101,
      "title": "Clarification on the Type of Accelerometer Sensor Used for Wrist-Mounted Data Collection",
      "comment_count": 5,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 438438,
      "title": "Multiclass dataset (211M)",
      "comment_count": 17,
      "views": 0,
      "votes": 32,
      "reused": true
    },
    {
      "id": 448295,
      "title": "Exploration of De-noising using Fast Fourier Transformation",
      "comment_count": 2,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 444152,
      "title": "Child Mind Institute - Notebook Out of Memory",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 447332,
      "title": "Is it okay to use bidirectional model.",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 447228,
      "title": "Data imbalance by season",
      "comment_count": 6,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 446919,
      "title": "Avoid Rounding to Multiples of 12 Steps",
      "comment_count": 8,
      "views": 0,
      "votes": 38,
      "reused": true
    },
    {
      "id": 448162,
      "title": "run time limit, preprocessing, training and inference? ",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 447950,
      "title": "How to instal or import lightgbm 4.1.0 package in offline notebook? ",
      "comment_count": 6,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 447615,
      "title": "Where is the CV?",
      "comment_count": 5,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 442552,
      "title": "CV vs LB difference",
      "comment_count": 11,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 441736,
      "title": "How do you handle irregular data or missing events in training/inference?",
      "comment_count": 11,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 442902,
      "title": "Ideas for postprocessing?",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 447656,
      "title": "Will incorrect Submission file give Notebook Threw Exception?",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 438563,
      "title": "Bad data and labels",
      "comment_count": 3,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 437209,
      "title": "Code for evaluation ",
      "comment_count": 7,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 444374,
      "title": "strange pattern of true events",
      "comment_count": 16,
      "views": 0,
      "votes": 49,
      "reused": true
    },
    {
      "id": 437354,
      "title": "How do you get score column in sample submission?",
      "comment_count": 8,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 437600,
      "title": "How do I avoid Error: \"Notebook out of Memory\"?",
      "comment_count": 8,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 445166,
      "title": "What is the best way to deal with ENMO outliers?",
      "comment_count": 5,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 445125,
      "title": "Detect Sleep States - Always Submission Scoring Error",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 445308,
      "title": "Should data from periods when the child is off the clock be deleted as an outlier?",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 443475,
      "title": "Is anyone else getting a simillar issue? ",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 444786,
      "title": "Binary classification or ternary classification？",
      "comment_count": 7,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 442107,
      "title": "test file series span only 12.5 minutes per individual",
      "comment_count": 6,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 444773,
      "title": "Train dataset with no NaNs 3 times bigger than previous piblic",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 437640,
      "title": "Test data is equal to train data ? ",
      "comment_count": 8,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 444673,
      "title": "Why submission.csv is empty?",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 443421,
      "title": "I hope ICR serves as a reminder to never blindly follow public notebooks.",
      "comment_count": 16,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 443274,
      "title": "RAM out of memory error? Why? ",
      "comment_count": 13,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 444181,
      "title": "Created some killer features but they ain't working :/",
      "comment_count": 5,
      "views": 0,
      "votes": -1,
      "reused": true
    },
    {
      "id": 441184,
      "title": "How long should scoring of a submission take?",
      "comment_count": 43,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 441888,
      "title": "Out Of Memory Error during submission",
      "comment_count": 8,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 444343,
      "title": "Noise modelling",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 441580,
      "title": "What to make of the score column?",
      "comment_count": 8,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 444007,
      "title": "Locomotor Inactivity During Sleep (LIDS) - Viz",
      "comment_count": 1,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 443569,
      "title": "Onset and Wakeup AP values for Series",
      "comment_count": 8,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 442575,
      "title": "What does NaN in train events mean?",
      "comment_count": 8,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 442862,
      "title": "Incorrect events even after 2nd data update",
      "comment_count": 7,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 443742,
      "title": "What is this rolling mean in HSNotD ?",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 443590,
      "title": "Simple analysis for missing steps/timestamp within train_events",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 443654,
      "title": "Need Team Members",
      "comment_count": 0,
      "views": 0,
      "votes": -6
    },
    {
      "id": 443463,
      "title": "ValueError: 'event' is both an index level and a column label, which is ambiguous.",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 443307,
      "title": "Do we have to train our models in our submission",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 443027,
      "title": "Why no CV in public notebook",
      "comment_count": 8,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 443382,
      "title": "Please give me your advice about predicting the occurrence of events using time-series data!",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 437534,
      "title": "Is this actually a time series problem?",
      "comment_count": 10,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 437261,
      "title": "Z-Angle (Anglez), Euclidean Norm Minus One (Enmo) and Mean Amplitude Deviation (MAD)",
      "comment_count": 17,
      "views": 0,
      "votes": 56,
      "reused": true
    },
    {
      "id": 442977,
      "title": "Compressing data takes up time and memory?",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 442928,
      "title": "How to deal with class imbalance of events?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 441058,
      "title": "What is this - \"signal_awake = dict(zip(range(1440), np.sin(np.linspace(0, np.pi, 1440) + 0.208 * np.pi) ** 24))\" ??",
      "comment_count": 8,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 442004,
      "title": "Batch training for tree-based models",
      "comment_count": 12,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 441929,
      "title": "feature selection",
      "comment_count": 7,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 438165,
      "title": "[advice?] timestamp column does not convert",
      "comment_count": 17,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 442529,
      "title": "Question Regarding 4d LSTM Input.",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 442476,
      "title": "Running out of memory on Kaggle",
      "comment_count": 8,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 442044,
      "title": "Has anyone tried interpolation?",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 442549,
      "title": "I wonder about what should I do...",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 442390,
      "title": "Code profiles and a little different way how to handle this dataset :) ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 441298,
      "title": "Acceleromter device removed - What is threshold of variation signal to determine this?",
      "comment_count": 4,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 442249,
      "title": "smaller n-estimator is better?",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 440290,
      "title": "Possible expert inconsistent labeling of sleep onset in the training set",
      "comment_count": 9,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 441910,
      "title": "How to make laptop public?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 442092,
      "title": "\"match each ground-truth to the highest-confidence unmatched prediction occurring within the allowed tolerance\"",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 442017,
      "title": "Deep Learning Model Types for Time-Series Event Detection ",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 438683,
      "title": "Cleaned training data with 269 series_id",
      "comment_count": 3,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 438238,
      "title": "Please explain \"anglez\" and \"enmo\" in simple words",
      "comment_count": 7,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 441285,
      "title": "Why is there so less participation in this competition?",
      "comment_count": 15,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 438862,
      "title": "Use polars to speed up by nearly 5x while reading parquet ⚡",
      "comment_count": 3,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 441815,
      "title": "Sessions in test",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 441649,
      "title": "nan steps in evaluation",
      "comment_count": 2,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 441404,
      "title": "Z-Angle, how to interpret it?",
      "comment_count": 7,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 441310,
      "title": "Can out of memory error please not be counted as submissions? @organizers??",
      "comment_count": 10,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 440525,
      "title": "How to deal with different time zones?",
      "comment_count": 9,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 440979,
      "title": "Choice of model - Why and Why not? ",
      "comment_count": 7,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 441467,
      "title": "Effectiveness of downsampling",
      "comment_count": 8,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 437345,
      "title": "Lightweight training dataset (180M)",
      "comment_count": 3,
      "views": 0,
      "votes": 55,
      "reused": true
    },
    {
      "id": 441350,
      "title": "Notebook Threw Exception",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 441370,
      "title": "I keep encountering a \"Submission scoring error\"!",
      "comment_count": 6,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 441415,
      "title": "Leaserboard scores trimmed: What just happened?",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 438112,
      "title": "Train_events rows that can be dropped",
      "comment_count": 2,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 441322,
      "title": "ZZZs clean data  and target in R",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 441220,
      "title": "Conventions for training models and datasets",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 440935,
      "title": "Pure signal processing techniques",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 440857,
      "title": "Validation strategy",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 438137,
      "title": "Help to work with so much data?",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 440892,
      "title": "Frequency of data collection ",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 440868,
      "title": "timestamp differences in R",
      "comment_count": 4,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 438394,
      "title": "Quick Advice: Optimize Your Data Types for Efficiency",
      "comment_count": 5,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 439007,
      "title": "Another Submission Error Question",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 440523,
      "title": "How can I solve \"Notebook Out of Memory Error!\" ?",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 440577,
      "title": "Use of pre-trained models as external dataset",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 440592,
      "title": "Tackling out of memory issue on test set",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 440549,
      "title": "Understanding Dataset Demographics",
      "comment_count": 1,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 437919,
      "title": "Please, some tips on how to train a model on such large dataset",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 438782,
      "title": "👀 Handling of \"train_events\" File",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 437986,
      "title": "\"step\" data in the parquet and CSV files",
      "comment_count": 12,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 440213,
      "title": "Notebook Out of Memory",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 438517,
      "title": "A new approach to the problem?: Using two anomaly detection models",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 437998,
      "title": "Timezone inconsistency and duplicated entries in train_events?",
      "comment_count": 11,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 439039,
      "title": "What data should we use for training? ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 439022,
      "title": "Interesting question about the dataset",
      "comment_count": 1,
      "views": 0,
      "votes": -1,
      "reused": true
    },
    {
      "id": 438987,
      "title": "submission taking too long!!!",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 438975,
      "title": "Questions about notebook submissions",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 438546,
      "title": "Timestamps are a poor proxy for daylight?",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 438871,
      "title": "Weka Team Invitation",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 438811,
      "title": "Predicting state vs event",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 438298,
      "title": "Idea for feature engineering?",
      "comment_count": 10,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 438697,
      "title": "Chucked dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 438682,
      "title": "Other Sleep/Accelerometer Dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 438540,
      "title": "Extra onset rows in series_id",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 438245,
      "title": "Timestamp convert using pyArrow",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 438406,
      "title": "Improving Leaderboard score",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 438290,
      "title": "OOM submission & size of the hidden test set?",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 437933,
      "title": "Binary classification problem or Multilabel classification problem with class disbalance?",
      "comment_count": 6,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 437708,
      "title": "Competiton submission ",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 437929,
      "title": "Some useful packages for temporal data and modelling with R",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 438127,
      "title": "Duplicate/corrupt series data for series_id 03d92c9f6f8a",
      "comment_count": 2,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 438110,
      "title": "Quick insight: 3 series_ids with potential time zone errors in train_events.csv",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 437974,
      "title": "Starter guide",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 437887,
      "title": "Is pandas not as efficient as pyspark in reading parquet files?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 437882,
      "title": "Check out my notebook based on XGBOOST",
      "comment_count": 1,
      "views": 0,
      "votes": -9,
      "reused": true
    },
    {
      "id": 437740,
      "title": "Questions about the metric",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 437519,
      "title": "Video on GGIR",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 437710,
      "title": "Daylight saving time",
      "comment_count": 1,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 437442,
      "title": "Wondering problem's nature?",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 437594,
      "title": "🧒Sleep States Child || Analysis and visualization",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 437539,
      "title": "Kaggle Pipeline (Open Source)",
      "comment_count": 2,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 437553,
      "title": "Google just released new time series algorithm based on attention mechanism",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 437360,
      "title": "Kaggle & Sleep:  I wish to hear lots of kagglers talk about their successes without attributing them to sleepless nights...",
      "comment_count": 8,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 437232,
      "title": "About error tolerance thresholds: 3 seconds/step or 5 seconds/step?",
      "comment_count": 3,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 437262,
      "title": "Possible technique? Temporal Convolutional Networks",
      "comment_count": 1,
      "views": 0,
      "votes": 12,
      "reused": true
    }
  ],
  "errors": []
}