{
  "total": 168,
  "topics": [
    {
      "id": 611375,
      "title": "This competition has officially pushed science forward. Congrats!!!",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 524695,
      "title": "The test set for this competition is now publicly available!",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 523033,
      "title": "We are lifting the solutions embargo.",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 521750,
      "title": "Recap of Competition - Congratulations to the Winners!",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 494924,
      "title": "This Competition has an Official Discord Channel",
      "comment_count": 6,
      "views": 0,
      "votes": 9
    },
    {
      "id": 501829,
      "title": "The secret for beating baseline",
      "comment_count": 43,
      "views": 0,
      "votes": 46
    },
    {
      "id": 519217,
      "title": "Would removing the pbuf_ozone column from the test data resolve the issue?",
      "comment_count": 7,
      "views": 0,
      "votes": -5
    },
    {
      "id": 523055,
      "title": "2nd Place Solution",
      "comment_count": 4,
      "views": 0,
      "votes": 47
    },
    {
      "id": 529393,
      "title": "14th place solution",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 523063,
      "title": "1st place solution for the LEAP competition",
      "comment_count": 20,
      "views": 0,
      "votes": 82
    },
    {
      "id": 523077,
      "title": "3rd place solution",
      "comment_count": 8,
      "views": 0,
      "votes": 29
    },
    {
      "id": 527416,
      "title": "48th place solution, Ensemble + Oversampling outliers + Weighted loss + U connections",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 523223,
      "title": "8th solution",
      "comment_count": 5,
      "views": 0,
      "votes": 25
    },
    {
      "id": 496712,
      "title": "Dataset introductory video from [NeurIPS 2023]",
      "comment_count": 2,
      "views": 0,
      "votes": 18
    },
    {
      "id": 524111,
      "title": "7th place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 15
    },
    {
      "id": 523105,
      "title": " [47th place solution] Pytorch Lightning Framework + Column-wise Ensemble",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 523271,
      "title": "[9th place] brief solution",
      "comment_count": 2,
      "views": 0,
      "votes": 20
    },
    {
      "id": 523042,
      "title": "4th place solution",
      "comment_count": 1,
      "views": 0,
      "votes": 34
    },
    {
      "id": 523040,
      "title": "[5th solution]: Ensemble of Bidirectional LSTM based Models",
      "comment_count": 1,
      "views": 0,
      "votes": 32
    },
    {
      "id": 523041,
      "title": "10th Place Solution",
      "comment_count": 2,
      "views": 0,
      "votes": 33
    },
    {
      "id": 523129,
      "title": "27th Place Solution",
      "comment_count": 0,
      "views": 0,
      "votes": 17
    },
    {
      "id": 523087,
      "title": "11th Place Solution for the LEAP - Atmospheric Physics using AI (ClimSim) Competition",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 523215,
      "title": "how does online simulation work? (not a solution)",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 520378,
      "title": "Where to send your scripts for verification",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 522337,
      "title": "NeurlGCM - Simulating 22 days of weather in 30 seconds",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 520500,
      "title": "Solutions and approaches",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 521798,
      "title": "Additional Guidelines for Verification [IMPORTANT]",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 519623,
      "title": "How can Zhang San be penalized?",
      "comment_count": 17,
      "views": 0,
      "votes": 12
    },
    {
      "id": 520084,
      "title": "A reminder for top teams to refrain from publishing solutions",
      "comment_count": 21,
      "views": 0,
      "votes": 32
    },
    {
      "id": 520794,
      "title": "Ok, top guys, TELL US WHAT YOU DID ALREADY!",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 519372,
      "title": "LEAP memes thread",
      "comment_count": 10,
      "views": 0,
      "votes": 19
    },
    {
      "id": 520417,
      "title": "Viewing the leaderboards",
      "comment_count": 5,
      "views": 0,
      "votes": 28
    },
    {
      "id": 519772,
      "title": "Kaggle Competition Update [NEW]",
      "comment_count": 45,
      "views": 0,
      "votes": 13
    },
    {
      "id": 519249,
      "title": "A formal request from the host to disqualify leak-based solutions",
      "comment_count": 144,
      "views": 0,
      "votes": 51
    },
    {
      "id": 519720,
      "title": "Request for clarity on how rules will be enforced",
      "comment_count": 48,
      "views": 0,
      "votes": 20
    },
    {
      "id": 519184,
      "title": "Hack the Planet (Simulator)",
      "comment_count": 46,
      "views": 0,
      "votes": 34
    },
    {
      "id": 520424,
      "title": "Leaky Solutions",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 519575,
      "title": "Questions about the criteria for leaks",
      "comment_count": 25,
      "views": 0,
      "votes": 8
    },
    {
      "id": 520405,
      "title": "Kudos to everybody and some late questions",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 519513,
      "title": "How did you get good at building NN models?",
      "comment_count": 14,
      "views": 0,
      "votes": 5
    },
    {
      "id": 519233,
      "title": "Does 'pseudo labeling' correspond to inference from multiple rows?",
      "comment_count": 11,
      "views": 0,
      "votes": 7
    },
    {
      "id": 520161,
      "title": "Connection Problem on Submitting",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 519811,
      "title": "👀 It's time for shakeup 🌀",
      "comment_count": 8,
      "views": 0,
      "votes": -12
    },
    {
      "id": 520105,
      "title": "Leak Non-Usage Public Commit Thread",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 519470,
      "title": "What's happening in this competition? It's pretty much confusing.",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 518366,
      "title": "MSE vs R2 Score. Need Suggestions!",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 519298,
      "title": "Resolution of Pseudolabelling Problem",
      "comment_count": 3,
      "views": 0,
      "votes": -7
    },
    {
      "id": 518599,
      "title": "Learning rate schedule",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 516605,
      "title": "New paper relevant to this competition",
      "comment_count": 8,
      "views": 0,
      "votes": 25
    },
    {
      "id": 519175,
      "title": "keep getting xla problem and cant train",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 515017,
      "title": "Ensemble of models improvement",
      "comment_count": 26,
      "views": 0,
      "votes": 9
    },
    {
      "id": 518570,
      "title": "What Kind of Feature Engineering is Effective?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 518639,
      "title": "what the relationship exists in R2_score and LB score?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 516970,
      "title": "what would be the problem?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 515535,
      "title": "Are Conservation Laws Important?",
      "comment_count": 9,
      "views": 0,
      "votes": 19
    },
    {
      "id": 517160,
      "title": "TPU Error: ValueError: Please provide a TPU Name to connect to.",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 513675,
      "title": "Can model with 1M parameters achieve R2 score greater than 0.76?",
      "comment_count": 21,
      "views": 0,
      "votes": 15
    },
    {
      "id": 514698,
      "title": "Visualization of overfitting (?)",
      "comment_count": 9,
      "views": 0,
      "votes": 31
    },
    {
      "id": 516187,
      "title": "Keras vs PyTorch Baselines LB score drops",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 515799,
      "title": "How to get extra data from HuggingFace?",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 514303,
      "title": "The R2 score on the validation data is very high.",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 506984,
      "title": "Two tips to get LB0.7+",
      "comment_count": 28,
      "views": 0,
      "votes": 109
    },
    {
      "id": 515652,
      "title": "Multiple models for each level or variable",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 513193,
      "title": "Kaggle Competition Update [IMPORTANT]",
      "comment_count": 36,
      "views": 0,
      "votes": 31
    },
    {
      "id": 515587,
      "title": "how not to get target excluded evaluation",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 514787,
      "title": "How are you proceeding?",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 514800,
      "title": "Target preprocessing before training",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 514020,
      "title": "What's your first epoch validation R2?",
      "comment_count": 12,
      "views": 0,
      "votes": 6
    },
    {
      "id": 513588,
      "title": "Amount of training data and its effect on the result",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 515030,
      "title": "I can't download competition data",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 514200,
      "title": "About new test set",
      "comment_count": 6,
      "views": 0,
      "votes": 9
    },
    {
      "id": 514626,
      "title": "Learner question: am I allowed to use test.csv along with train.csv to train the model?",
      "comment_count": 12,
      "views": 0,
      "votes": 0
    },
    {
      "id": 513320,
      "title": "Queued - Perhaps add a few more servers until all re-submission runs completed ?",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 511548,
      "title": "Best Single Model",
      "comment_count": 56,
      "views": 0,
      "votes": 18
    },
    {
      "id": 513514,
      "title": "Large negative values when predicting with new test data&weights",
      "comment_count": 12,
      "views": 0,
      "votes": 6
    },
    {
      "id": 511911,
      "title": "[Confirmation Request]: Availability of Reverse-engineered Timestamp & Location Data on the Test Set",
      "comment_count": 118,
      "views": 0,
      "votes": 76
    },
    {
      "id": 513220,
      "title": "Lots of negative r2 scores after multiplying with new weights",
      "comment_count": 17,
      "views": 0,
      "votes": 13
    },
    {
      "id": 513142,
      "title": "[COMPLETE] Data update is in progress",
      "comment_count": 4,
      "views": 0,
      "votes": 22
    },
    {
      "id": 513282,
      "title": "Number of Medals",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 513330,
      "title": "About new sample_submission",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 513221,
      "title": "Converting to the existing submission format from the previous one.",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 512787,
      "title": "TPU's accuracy is lower than GPU?",
      "comment_count": 13,
      "views": 0,
      "votes": 3
    },
    {
      "id": 508630,
      "title": "Let’s Share Domain Knowledge!",
      "comment_count": 11,
      "views": 0,
      "votes": 64
    },
    {
      "id": 512287,
      "title": "kaggle competitions download -c ClimSim",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 511274,
      "title": "Is Tropical Cylones Key to Win this Competition?",
      "comment_count": 25,
      "views": 0,
      "votes": 26
    },
    {
      "id": 512298,
      "title": "Making TPU work with Keras and JAX",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 513140,
      "title": "The competition is gone?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 513095,
      "title": "TypeError:\"Nonetype object is not callable\"",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 506490,
      "title": "max=2523σ: How Extreme this Competition's Setup is",
      "comment_count": 25,
      "views": 0,
      "votes": 42
    },
    {
      "id": 512654,
      "title": "Where can i find the source which explains the data set in detail ?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 508922,
      "title": "Whether increasing the amount of data can improve the score",
      "comment_count": 13,
      "views": 0,
      "votes": 5
    },
    {
      "id": 508272,
      "title": "Conservation laws",
      "comment_count": 8,
      "views": 0,
      "votes": 14
    },
    {
      "id": 503219,
      "title": "Some thoughts from an analysis of R2 per target",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 511043,
      "title": "root mean squared vs standard deviation",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 511146,
      "title": "Train val split loss difference",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 509725,
      "title": "Transformer sequence to sequence training",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 500229,
      "title": "Evaluation metric raised an unexpected error (.zip files)",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 508174,
      "title": "Questions about Seq2Seq",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 508188,
      "title": "Submission Error",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 499896,
      "title": "How many targets can we predict?",
      "comment_count": 8,
      "views": 0,
      "votes": 16
    },
    {
      "id": 507854,
      "title": "Train Loss spikes",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 498806,
      "title": "How to scale input features and targets? ",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 495258,
      "title": "Why location and timestamps are not provided?",
      "comment_count": 22,
      "views": 0,
      "votes": 30
    },
    {
      "id": 495127,
      "title": "⚠️ Remember to multiply by sample submission ⚠️",
      "comment_count": 10,
      "views": 0,
      "votes": 13
    },
    {
      "id": 508546,
      "title": "I cannt participate to the competetion - no response from support",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 502484,
      "title": "A severely underrated comment which raises a lot of questions",
      "comment_count": 14,
      "views": 0,
      "votes": 37
    },
    {
      "id": 506427,
      "title": "Big distribution differences between features in train and test set",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 500046,
      "title": "How to TRAIN LARGE DATA on Kaggle and XGBoost",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 508237,
      "title": "CRM source code link",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 506305,
      "title": "PyArrow: The best python library for reading big datasets ",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 506853,
      "title": "Has anyone managed to download climSim data *in Kaggle*?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 506278,
      "title": "Full train dataset generation",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 507073,
      "title": "Can we extract and use lat/lon/time information",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 506081,
      "title": "Transformers train very slowly ",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 502880,
      "title": "Is this an inverse problem?",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 506187,
      "title": "Clarification on multiplying by sample_submission.csv?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 497597,
      "title": "Using full low-res dataset?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 498194,
      "title": "Let's share CV-LB Insights  here 🔥",
      "comment_count": 21,
      "views": 0,
      "votes": 22
    },
    {
      "id": 502658,
      "title": "Be careful about the order of y_true and y_pred when calculating R2 score",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 502476,
      "title": "Number of parameters required to pass baseline criteria",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 503182,
      "title": "Experience with LGBM in this competition?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 502378,
      "title": "mistake in simulation?",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 495125,
      "title": "I got my worst score ever in my Kaggle life.",
      "comment_count": 12,
      "views": 0,
      "votes": 21
    },
    {
      "id": 501903,
      "title": "How to submit parquet file to Kaggle?",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 500816,
      "title": "The risk of underflow when converting to FP32",
      "comment_count": 4,
      "views": 0,
      "votes": 32
    },
    {
      "id": 501938,
      "title": "Drift phenomenon in the distribution of training and test dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 495255,
      "title": "CONFUSION and POTENTIAL issue about evaluation metric",
      "comment_count": 10,
      "views": 0,
      "votes": 26
    },
    {
      "id": 497749,
      "title": "'Multiply by sample_submission'",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 501430,
      "title": "Does the size of train dataset have a big impact on the test score?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 501552,
      "title": "The strategy for dividing the training set and validation set?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 500042,
      "title": "Some good practices for experiment tracking",
      "comment_count": 0,
      "views": 0,
      "votes": 18
    },
    {
      "id": 498959,
      "title": "Question about team removal",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 500078,
      "title": "BIG SCORE DIFFERENCE between my calculated R2 score and actual LB",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 500429,
      "title": "Help to Improve - First ever real competition submission",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 500555,
      "title": "Is test dataset available online?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 500470,
      "title": "higher score for higher level (closer to the ground)",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 499737,
      "title": "How submission!! ",
      "comment_count": 7,
      "views": 0,
      "votes": -1
    },
    {
      "id": 499447,
      "title": "How to detect whether context is competition submission or notebook run",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 499638,
      "title": "Is it necessary for us to utilize all of the training data?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 499627,
      "title": "What area of improvement gets you the highest increase in results?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 494928,
      "title": "Dealing with Large Datasets. Kaggle Notebooks, Topics and Competitions.",
      "comment_count": 4,
      "views": 0,
      "votes": 37
    },
    {
      "id": 499071,
      "title": "Why is air temprature not a scalar?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 497823,
      "title": "The baseline and goal are 2D, but the data is 1D?",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 498192,
      "title": "Vertical resolution of data",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 497782,
      "title": "Cosine Weighting?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 497304,
      "title": "HDF5 training data",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 495107,
      "title": "Is this competition about who got better computer ",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 498916,
      "title": "I don't have enough storage to download this dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 497217,
      "title": "How to read in the train dataset, not enough RAM?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 496455,
      "title": "Zero Variance Columns",
      "comment_count": 4,
      "views": 0,
      "votes": 20
    },
    {
      "id": 494968,
      "title": "Starter references and onboarding materials ",
      "comment_count": 14,
      "views": 0,
      "votes": 43
    },
    {
      "id": 496558,
      "title": "should we drop single value cols ?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 497280,
      "title": "Question about Competition Dataset",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 495128,
      "title": "Useful code and comparison result of save speeds between Polars and Pandas",
      "comment_count": 8,
      "views": 0,
      "votes": 20
    },
    {
      "id": 496886,
      "title": "High temperature values",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 495109,
      "title": "Does the low-resolution data amount to 744GB?",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 497151,
      "title": "Can we use internet for submissions?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 495301,
      "title": "Many columns with one unique value in the training set.",
      "comment_count": 7,
      "views": 0,
      "votes": 11
    },
    {
      "id": 497464,
      "title": "Is there a way to simulate the earth's climate with our models?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 496987,
      "title": "is there any framework to build chunkwise models ",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 495137,
      "title": "Understanding the E3SM-MMF climate model",
      "comment_count": 1,
      "views": 0,
      "votes": 18
    },
    {
      "id": 495129,
      "title": "A theoretically interesting approach",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 497166,
      "title": "Is Python the only accepted language for this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 494943,
      "title": "To continue, please verify your identity? never seen it before",
      "comment_count": 12,
      "views": 0,
      "votes": 5
    },
    {
      "id": 495316,
      "title": "Sharing some starter artefacts for convenience",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 497198,
      "title": "LEAP - Atmospheric Physics using AI (ClimSim)- Discussion Topic",
      "comment_count": 0,
      "views": 0,
      "votes": -5
    },
    {
      "id": 495007,
      "title": "Is code required to be submitted ",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 488278,
      "title": "Get started here!",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    }
  ],
  "errors": []
}