{
  "total": 183,
  "topics": [
    {
      "id": 418435,
      "title": "Thank you for participating!",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 416744,
      "title": "Leaderboard is Finalized - Congratulations to our winners; Recap!",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 406700,
      "title": "Data Update and Rescore",
      "comment_count": 31,
      "views": 0,
      "votes": 29
    },
    {
      "id": 393533,
      "title": "New to Kaggle or Machine Learning? Check this out ~",
      "comment_count": 10,
      "views": 0,
      "votes": 17
    },
    {
      "id": 403009,
      "title": "Over fitting and daily living data",
      "comment_count": 7,
      "views": 0,
      "votes": 13
    },
    {
      "id": 393534,
      "title": "Looking for a Team Megathread",
      "comment_count": 113,
      "views": 0,
      "votes": 10
    },
    {
      "id": 416026,
      "title": "1st place solution: transformer and acceleration data",
      "comment_count": 39,
      "views": 0,
      "votes": 117
    },
    {
      "id": 511327,
      "title": "Article Published",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 416057,
      "title": "2nd place solution",
      "comment_count": 20,
      "views": 0,
      "votes": 62
    },
    {
      "id": 417717,
      "title": "3rd Place Solution: Transformer+GRU",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 422477,
      "title": "Published a little write-up of my solution plus code (8th place solution)",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 416410,
      "title": "4th Place Solution: a MultiLayer Bidirectional GRU with Residual Connections",
      "comment_count": 4,
      "views": 0,
      "votes": 37
    },
    {
      "id": 416797,
      "title": "52nd Place Solution + Code",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 416513,
      "title": "10th place solution: U-Net with squeeze & excitation",
      "comment_count": 7,
      "views": 0,
      "votes": 20
    },
    {
      "id": 416021,
      "title": "Eighth Place Solution: 5-Fold CV 1D-ResNet",
      "comment_count": 27,
      "views": 0,
      "votes": 24
    },
    {
      "id": 415992,
      "title": "6th place solution: spectrograms, wavelets, convnets, unets, and transformers",
      "comment_count": 8,
      "views": 0,
      "votes": 66
    },
    {
      "id": 424390,
      "title": "Funding Opportunity for Continuing Freezing of Gait Research",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 420340,
      "title": "About the uselessness of features extraction in this competition",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 415975,
      "title": "21st place solution: Conv1d with denoising",
      "comment_count": 10,
      "views": 0,
      "votes": 24
    },
    {
      "id": 419491,
      "title": "Can someone help to understand the research design of the process.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 416100,
      "title": "57th place solution: Conv1d model with aux head",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 416802,
      "title": "1st place code: transformer and acceleration data",
      "comment_count": 3,
      "views": 0,
      "votes": 18
    },
    {
      "id": 406884,
      "title": "FutureWarning: --Exporter.preprocessors",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 418275,
      "title": "5th Place Training and Inference",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 418008,
      "title": "11th place solution: LSTM-CNN + rolling features",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 416248,
      "title": "12th place solution: Simple features and LSTM.",
      "comment_count": 7,
      "views": 0,
      "votes": 14
    },
    {
      "id": 416935,
      "title": "19th place solution: 1D Unet + Transformer",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 418211,
      "title": "Late Submission",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 416298,
      "title": "5th Place Solution",
      "comment_count": 7,
      "views": 0,
      "votes": 20
    },
    {
      "id": 417156,
      "title": "I am inquiring about the meaning of the labels",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 416106,
      "title": "20th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 21
    },
    {
      "id": 416888,
      "title": "205th solution, no DL at all ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 415967,
      "title": "Was there a secret?",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 416074,
      "title": "Lessons from dropping 600 ranks in the LB: Trust CV and Ignore LB",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 415988,
      "title": "What is the difference between public and private Dataset?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 415974,
      "title": "Leaderboard Shakeup",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 414165,
      "title": "Metric could be the Key!!",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 416036,
      "title": "Neural Network Domination",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 415987,
      "title": "Can we obtain all the test data？",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 416053,
      "title": "Combine or not combine defog with tdcsfog",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 415989,
      "title": "CV, Public, Pritate Sores",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 416107,
      "title": "🧠Parkinson's FOG - EDA and Model Submission",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 415818,
      "title": "#Submission #NeedHelp",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 415215,
      "title": "Data Update hampering scores?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 415794,
      "title": "What will happen if I submit *really* late?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 415882,
      "title": "notebook threw exception ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 415676,
      "title": "submission problem",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 415706,
      "title": "CV vs LB, What to choose?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 415597,
      "title": "Submission Scoring Error all the time",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 413638,
      "title": "In Top 6% of LB with a wrong model ?l!  - Classification or Regression?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 414636,
      "title": "About Private Score and Public Score",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 413894,
      "title": "About future data of wavelength",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 393574,
      "title": "Freezing of gait (FoG) ANOVA, 88.09% accuracy, 77.58% precision.",
      "comment_count": 1,
      "views": 0,
      "votes": 29
    },
    {
      "id": 403470,
      "title": "Is the competition dataset SERIOUSLY WRONG?",
      "comment_count": 21,
      "views": 0,
      "votes": 62
    },
    {
      "id": 410706,
      "title": "Inconsistent CV values vs LB?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 412667,
      "title": "Several data inconsistencies you might be wondering about",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 413124,
      "title": "subjects.csv, Visit Only available for subjects in the daily and defog datasets.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 406139,
      "title": "How should we address the imbalance dataset issue in this competition? And should we model this a classification problem or a regression problem?",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 409474,
      "title": "What Novelty I can show, if I take it as an academic project.",
      "comment_count": 1,
      "views": 0,
      "votes": -3
    },
    {
      "id": 411914,
      "title": "Modeling of the disease in the early stages [RU]",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 411509,
      "title": "About subject column and id column",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 411510,
      "title": "About the defog and tdcsfog folders in the test folder",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 411740,
      "title": "Getting LightGBMError ( GPU )",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 403390,
      "title": "LSTM out of memory",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 400311,
      "title": "On the use of 'Time' as a feature",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 411397,
      "title": "AccV, AccML, and AccAP in different files has different units",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 411486,
      "title": ".parquet file",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 411092,
      "title": "Why do top Notebooks use a Regressor model?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 411151,
      "title": "Trying to understand how evaluation works...",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 411041,
      "title": "Test column in tdcsfog_metadata.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 410546,
      "title": "Cannot have internet access",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 409749,
      "title": "AccV (vertical acceleration) is always negative. why?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 409509,
      "title": "Unit unification and resampling",
      "comment_count": 9,
      "views": 0,
      "votes": 0
    },
    {
      "id": 408012,
      "title": "Similar compition and solutions share👀",
      "comment_count": 3,
      "views": 0,
      "votes": 22
    },
    {
      "id": 394634,
      "title": "Everything you need to know about FOG",
      "comment_count": 9,
      "views": 0,
      "votes": 52
    },
    {
      "id": 393852,
      "title": "Understanding The Data",
      "comment_count": 11,
      "views": 0,
      "votes": 61
    },
    {
      "id": 409953,
      "title": "Useful review",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 398103,
      "title": "Can the predicted value be negative?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 407875,
      "title": "defog cv score way lower than tdcsfog cv score?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 408000,
      "title": "Same notebook but different result between 2run ??",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 409502,
      "title": "Code requirements/CPU/GPU",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 409285,
      "title": "How did you validate the models?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 408176,
      "title": "What is the purpose of kinetic column?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 408072,
      "title": "Is this a multiclass problem?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 399161,
      "title": "Is it allowed to train a model off line and upload it (predict ready)",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 402616,
      "title": "How much score did you get with train data alone?",
      "comment_count": 10,
      "views": 0,
      "votes": 13
    },
    {
      "id": 398879,
      "title": "Submission out of memory error",
      "comment_count": 12,
      "views": 0,
      "votes": 6
    },
    {
      "id": 407802,
      "title": "Label explination",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 407510,
      "title": "Have some difficulty getting the submission in",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 407243,
      "title": "Valid and Task true meaning?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 407346,
      "title": "having problem with nd array",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 394426,
      "title": "Reliable CV strategy?",
      "comment_count": 7,
      "views": 0,
      "votes": 14
    },
    {
      "id": 404989,
      "title": "Is tasks.csv not included for defog tests? ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 397938,
      "title": "Submission Scoring time",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 406084,
      "title": "Confusing Memory Limit Error",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 404968,
      "title": "How to use amp_pd_peptide in my personal computer?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 405999,
      "title": "Typo \"fog dataset\" in the description of task.csv file in the Data tab",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 395391,
      "title": "CV and LB Scores",
      "comment_count": 15,
      "views": 0,
      "votes": 40
    },
    {
      "id": 405549,
      "title": "Unlabeled data",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 405417,
      "title": "Basic Data Question",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 405468,
      "title": "Too high LB by random guess",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 403375,
      "title": "Are these training datasets actually representative of the full data?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 403423,
      "title": "Can We use gpu to improve training time when we use xgboost",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 404814,
      "title": "Does anything wrong with XGBoost?👀",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 395143,
      "title": "Quick look at Previous Research (References)",
      "comment_count": 4,
      "views": 0,
      "votes": 24
    },
    {
      "id": 403552,
      "title": "Submission Error ~ Output Look Correct?",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 394112,
      "title": "About the columns in tasks.csv",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 403114,
      "title": "Is there a commit-submit option?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 401008,
      "title": "One subject has both 'F' and 'M' sexes recorded.",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 403069,
      "title": "Test Files - During Submission",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 401199,
      "title": "I need help with the error: Notebook Threw Exception",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 397092,
      "title": "Something about What Happened on my FOG Notebook I am Creating",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 402189,
      "title": "Why is the test/defog data ('02ab235146.csv') included in the train/notype dataset?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 402635,
      "title": "Stuck at 0.095",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 402010,
      "title": "resource sharing: useful git repository",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 398387,
      "title": "Missing data in events.csv",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 402051,
      "title": "How many test files? Unlabelled? or just test folder?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 400797,
      "title": "[solved] How do I identify Cause of Submission Scoring Error?",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 401803,
      "title": "Gait Prediction -  Notebook Threw Exception \"Please Help\"",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 401582,
      "title": "Need Help -  Submission Scoring Error??",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 401504,
      "title": "Just one timeseries in the de dataset with a valid StartHesition event makes model selection and cross-validation difficult",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 401580,
      "title": "cannot utilize GPU resources in pytorch (using datasets and dataloaders)",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 401745,
      "title": "How I (usually) solve my \"submission score error\"",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 395327,
      "title": "What are the short events?",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 401545,
      "title": "On the true nature of the term Kinetic",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 396959,
      "title": "Do we have metadata in the test set?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 399318,
      "title": "Stuck with 0.095 Score [Solved]",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 400509,
      "title": "How to read the hidden test dataset when submitting?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 394792,
      "title": "Information available during \"inference\"",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 400554,
      "title": "Training Model",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 399764,
      "title": "Handling dataset ",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 400048,
      "title": "What are we supposed to submit? ",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 400366,
      "title": "Metrics in FOG competition",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 394004,
      "title": "Solutions from similar competition",
      "comment_count": 4,
      "views": 0,
      "votes": 37
    },
    {
      "id": 399382,
      "title": "Busco equipo",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 397534,
      "title": "Submission Notebook?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 397982,
      "title": "Incorrect notype event annotations?",
      "comment_count": 8,
      "views": 0,
      "votes": 14
    },
    {
      "id": 399720,
      "title": "Do events.csv contain event information for the test set?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 399484,
      "title": "Labels in train and events.csv don't match",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 395073,
      "title": "Metric Update",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 399387,
      "title": "Unable to download dataset",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 399805,
      "title": "Looking for teammate",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 399646,
      "title": "\"Increasing the Number of Winners: A Discussion on Distributing Cash Prizes\" ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 399652,
      "title": "Notebook Out of Memory",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 396926,
      "title": "Different models for defog and tdcsfog time-series?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 394014,
      "title": "Kinetic column in events.csv",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 398720,
      "title": "Yet another thread for 'Submission Scoring Error' [Solved]",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 398402,
      "title": "Submission Scoring Error - R",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 398399,
      "title": "Parquet files",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 397154,
      "title": "Split training dataset depending on Medication condition",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 397902,
      "title": "Value should be discrete(0 or 1) or it has to be probability of that even occuring(Between 0 to 1).",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 397454,
      "title": "About dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 394092,
      "title": "is there any problem on my submission file?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 397256,
      "title": "How a human can understand that a person has parkinson's from the available raw dataset?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 397709,
      "title": "How do I submit a notebook?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 397333,
      "title": "Multiclass = 4 ",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 394531,
      "title": "Updated \"notype\" Data",
      "comment_count": 5,
      "views": 0,
      "votes": 18
    },
    {
      "id": 396851,
      "title": "Tedious but mandatory checks (pytorch)",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 397516,
      "title": "Notebook runs successfully, but there is no score",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 395017,
      "title": "I can only find 36 subjects from daily_metadata in the defog_metadata table",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 397054,
      "title": "Are the number of series in the public and private test splits roughly equal? ",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 397526,
      "title": "Submission Results",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 396658,
      "title": "A small \"bug\" in the Dataset Description?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 397127,
      "title": "Filename handling",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 397106,
      "title": "Data Unit? + notype data? ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 396079,
      "title": "Perhaps Gyroscopic data would give an improvement",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 396678,
      "title": "Looking for team member",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 396426,
      "title": "FOG data visualization",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 396548,
      "title": "Understanding Data",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 393837,
      "title": "Unusable Y variable?",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 394211,
      "title": "Submission Scoring Error",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 395979,
      "title": "No metadata for daily living dataset?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 395109,
      "title": "clarification about evaluation language",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 395468,
      "title": "On StartHesitation label",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 394725,
      "title": "Understanding Axes of Movement/Rotation",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 394268,
      "title": "Train/Test split question",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 394298,
      "title": "Accelerometer Data EDA and Feature Engineering",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 393954,
      "title": "defog tdcsfog notype parquet data",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 393651,
      "title": "How is *Init time* of an event correctly encoded in submission?",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 393835,
      "title": "Missing Valid and Type columns from tcds_defog train datasets",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 394498,
      "title": "Can google employees participate and are eligible to win prices for this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 393809,
      "title": "Field Descriptions",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 394003,
      "title": "Strongest predictors",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}