{
  "total": 158,
  "topics": [
    {
      "id": 599017,
      "title": "Congratulations to the Winners!",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 591259,
      "title": "Final Review Process & Thank You from DRW & Cumberland",
      "comment_count": 24,
      "views": 0,
      "votes": 15
    },
    {
      "id": 588839,
      "title": "Clarification on Competition Rules and Future Peeking",
      "comment_count": 54,
      "views": 0,
      "votes": 14
    },
    {
      "id": 589052,
      "title": "[Important] Leaderboard Reboot with Updated Competition Data",
      "comment_count": 69,
      "views": 0,
      "votes": 12
    },
    {
      "id": 688612,
      "title": "Optuna-based Feature Selection for Anonymized Tabular Data",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 599068,
      "title": "DRW solution 1st",
      "comment_count": 19,
      "views": 0,
      "votes": 56
    },
    {
      "id": 598440,
      "title": "Delay in Competition Results Announcement",
      "comment_count": 13,
      "views": 0,
      "votes": 0
    },
    {
      "id": 598865,
      "title": "Top 13 solution",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 596578,
      "title": "LinearRegression",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 596581,
      "title": " Emphasizing Data Quality over Model Complexity (2nd & 25th Place Solutions)",
      "comment_count": 9,
      "views": 0,
      "votes": 12
    },
    {
      "id": 597121,
      "title": "private 16. solution",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 596478,
      "title": "A Short Crypto Alpha Chasing Race (40th)",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 596161,
      "title": "To the Top Scorers, how did you perform so well?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 593920,
      "title": "Wow OK: ideas about what has happened here?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 591074,
      "title": "Lost in space solution",
      "comment_count": 11,
      "views": 0,
      "votes": 14
    },
    {
      "id": 593940,
      "title": "Solution with features selected by PLS regression weights",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 591275,
      "title": "What's with all of the [deleted] teams on the leaderboard?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 591031,
      "title": "Anyone know what's going on here?",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 591089,
      "title": "Request to Update Private Leaderboard Test Set Due to Exposure",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 591186,
      "title": "Submission has been administratively invalidated",
      "comment_count": 4,
      "views": 0,
      "votes": -5
    },
    {
      "id": 590910,
      "title": "What is the competition deadline [solved] ?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 590500,
      "title": "Will the scores from lagging and leading features be eliminated?",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 590804,
      "title": "What's your r2_score of your prediction when your pearson coeff is below 0.15?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 589522,
      "title": "Competition status?",
      "comment_count": 20,
      "views": 0,
      "votes": 11
    },
    {
      "id": 590532,
      "title": "Has the dataset changed again?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 589805,
      "title": "My opinion about what is going on in this competition:",
      "comment_count": 11,
      "views": 0,
      "votes": 6
    },
    {
      "id": 590086,
      "title": "Does shuffle=True Improve Performance or Introduce Data Leakage?",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 590101,
      "title": "Submission format?",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 590237,
      "title": "Should we continue with non time series approaches and stuck at 300+ on LB or use time series?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 589645,
      "title": "For those that did not peek into the future..",
      "comment_count": 10,
      "views": 0,
      "votes": 8
    },
    {
      "id": 590239,
      "title": "Submission question?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 589936,
      "title": " The fairest disqualification criteria in my opinion",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 589724,
      "title": "[Non Peeking] Stuck on sub 0.05 scores",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 589957,
      "title": "What is your best score without the time series ?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 589216,
      "title": "Still Poor CV - LB Correlation",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 589999,
      "title": "Test set and lagged features",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 588791,
      "title": "df[col].shift(-lag) is a data leakage",
      "comment_count": 13,
      "views": 0,
      "votes": 15
    },
    {
      "id": 589819,
      "title": "Methods to \"diversify\" features' effect within the model",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 589784,
      "title": "Will cheaters be awarded with medals?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 588823,
      "title": "Does anyone know why specific features like X137, X168, X174, etc. work so well?",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 589781,
      "title": "How easy do you think it is to separate the two ?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 589625,
      "title": "Imaging 0.90 with the real case, you can richer than Warren Buffett",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 589613,
      "title": "CatBoost Overfitting Issue – Need Help Understanding Poor Submission Score",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 589511,
      "title": "How is 0.90 Achievable Without Data Leakage or Future Timesteps?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 589309,
      "title": "People using multiple accounts",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 588896,
      "title": "Can We Still Fix This Competition?",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 589240,
      "title": "I need your help! DRW!",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 589164,
      "title": "Can we put \"REBOOT\" in notebook names to indicate notebooks are using the updated dataset?",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 587957,
      "title": "Free external data to use",
      "comment_count": 14,
      "views": 0,
      "votes": 22
    },
    {
      "id": 588610,
      "title": "The order of the test rows",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 588404,
      "title": "A Little Trick for Training with the 'volume' Feature",
      "comment_count": 7,
      "views": 0,
      "votes": 10
    },
    {
      "id": 589126,
      "title": "Is this competition just restarted?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 588272,
      "title": "Prize question for hosts",
      "comment_count": 20,
      "views": 0,
      "votes": 2
    },
    {
      "id": 588608,
      "title": "Struggling with CV vs LB Consistency ",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 589066,
      "title": "The futures after 780 disappear?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 588310,
      "title": "After 12 hours, my notebook shut down, but all my models worked well. This is my 7th modified result logs ",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 588924,
      "title": "Shuffling data in train test split?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 588855,
      "title": "Question on Contest Rules",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 588543,
      "title": "Any suggestions on this? (problem with using time-series features for training)",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 588445,
      "title": "Is this e regression or a forecasting competition?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 588802,
      "title": "You can't use past lag features also (after sorting test data)",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 585986,
      "title": "Why More Features ≠ Better: Lessons from MLPs in Noisy Crypto Data",
      "comment_count": 15,
      "views": 0,
      "votes": 7
    },
    {
      "id": 587708,
      "title": "Are we allowed to submit just a CSV file for the competition?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 588041,
      "title": "Why does the test set divided on train_df perform well, but the final score is not good.",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 588284,
      "title": "How to determine what is future data? What is test data prediction time? ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 584032,
      "title": "[LB: -0.81504]Thoughts on the 'breakaway' scores on the leaderboard.",
      "comment_count": 42,
      "views": 0,
      "votes": 52
    },
    {
      "id": 587510,
      "title": "Feature Drift between training and test data",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 587949,
      "title": "What kind of external data can we possibly use?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 587902,
      "title": "Covariate Shift in the data between train and test",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 586559,
      "title": "Hi everyone, what score do you think is achievable without using external data?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 587792,
      "title": "Possibility to train on paths",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 587791,
      "title": "Timestamp in test data",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 586989,
      "title": "Memory management - how to effectively manage RAM memory",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 586341,
      "title": "What is efficient way to handle Inf value ?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 580170,
      "title": "Starter materials and references ",
      "comment_count": 14,
      "views": 0,
      "votes": 92
    },
    {
      "id": 587226,
      "title": "Submission Evaluation - Other techniques can be used than Pearson Correlation",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 583000,
      "title": "CV-LB Correlation",
      "comment_count": 20,
      "views": 0,
      "votes": 13
    },
    {
      "id": 587036,
      "title": "How shall i write my submission notebook?  I can't setup the submission environment .Shall import \"gresearch_crypto\"?\"",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 587024,
      "title": "Getting error unable to connect to firestore",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 586789,
      "title": "Time based features",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 586717,
      "title": "What's the timeline? ",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 586552,
      "title": "Why am i encountering this error?And i cannot save-version to this notebook    https://www.kaggle.com/code/zhangyuehan151/notebook38110b2365  ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 584704,
      "title": "Finding order of timestamps allowed?",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 586643,
      "title": "can we use tpu accelerator for submission",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 586271,
      "title": "LB understanding/Economic Background",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 580459,
      "title": "[Resolved] Test set label leakage !",
      "comment_count": 17,
      "views": 0,
      "votes": 11
    },
    {
      "id": 585756,
      "title": "The target variable looks like AR(1) process",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 580617,
      "title": "Key Insights from Feature Selection & Analysis",
      "comment_count": 34,
      "views": 0,
      "votes": 72
    },
    {
      "id": 580600,
      "title": "Which features are most useful",
      "comment_count": 7,
      "views": 0,
      "votes": 21
    },
    {
      "id": 585758,
      "title": "time decay weights",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 581075,
      "title": "CV/LB Thread",
      "comment_count": 22,
      "views": 0,
      "votes": 15
    },
    {
      "id": 585653,
      "title": "in test dataset timeStamps are masked but is it confirm that they all are continuous?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 585082,
      "title": "What is wrong with shuffled test.csv",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 585320,
      "title": "volume == (buy_qty + sell_qty)",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 584811,
      "title": "Please competition, give medals to top100 competitiors...",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 584777,
      "title": "May I ask if anyone can explain the data processing flow of this competition?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 585387,
      "title": "is there a data shift between training set and test set?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 585173,
      "title": "Question regarding test set time span",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 584101,
      "title": "I don't have enough RAM to realize PCA",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 580485,
      "title": "How to deal with memory issues",
      "comment_count": 14,
      "views": 0,
      "votes": 40
    },
    {
      "id": 584824,
      "title": "To open PARQUET files in PC?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 585124,
      "title": "🚀 LightGBM + Feature Selection: Performance Breakthrough.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 584728,
      "title": "Is well correlating model validation in the current setting possible?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 581193,
      "title": "Sample Weights To Bias Model",
      "comment_count": 10,
      "views": 0,
      "votes": 20
    },
    {
      "id": 584783,
      "title": "Data leakage => more training data?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 584796,
      "title": "20 predictor features found with all infinite values - either +ve or -ve",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 580307,
      "title": "Masked Test Data",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 584485,
      "title": "Zero is a signal too",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 584453,
      "title": "Should I Optimize Hyperparameters?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 584133,
      "title": "Why aren't the top five marked as \"Prize Contenders\"? I'm a novice.",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 583349,
      "title": "What is current the best LB score without using external data? ",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 583522,
      "title": "A Suggestion for Test Data Structure to Enhance Model Performance in Non-Stationary Markets",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 583950,
      "title": "Label Timezone",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 582964,
      "title": "Some questions about the data",
      "comment_count": 15,
      "views": 0,
      "votes": -10
    },
    {
      "id": 580564,
      "title": "Too early stop on lightgbm",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 583526,
      "title": "DRW Crypto Market Prediction — Model Results, Ensembling Struggles, and Meta-Learner Help?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 583573,
      "title": "There is no Timestamp column in the columns of the train set ?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 583435,
      "title": "External Datasets?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 583124,
      "title": "ValueError: Input X contains infinity or a value too large for dtype('float64').",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 580062,
      "title": "Masking timestamps in the test dataset",
      "comment_count": 17,
      "views": 0,
      "votes": 22
    },
    {
      "id": 581126,
      "title": "Reverse Engineer the timestamps in Test?",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 580647,
      "title": "External datasets allowed but test data with timestamp masked?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 582384,
      "title": "Potential Data Leakage in Public Notebooks and How to Split Validation?",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 582966,
      "title": "Private test set",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 582345,
      "title": "RAM & GPU are not sufficient, how to execute?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 582473,
      "title": "What is your highest LB Score without DATA LEAK？(KFold is definitely a data leakage)",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 582725,
      "title": "Missing 'timestamp' column in train.parquet?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 582305,
      "title": "RNN in crypto market prediction",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 582308,
      "title": "New time series featured competition for your perusal",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 582213,
      "title": "Era-Aware Learning With WarpGBM - Invariant Edition",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 582744,
      "title": "Is training data been modifying ?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 581111,
      "title": "A weight solver for ensembling to maximize corr",
      "comment_count": 0,
      "views": 0,
      "votes": 19
    },
    {
      "id": 582266,
      "title": "Recreate Temporal Pattern",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 580291,
      "title": "Redundant columns (infinity and zeroes).",
      "comment_count": 10,
      "views": 0,
      "votes": 26
    },
    {
      "id": 580239,
      "title": "Is label just BTC minute price percent change?",
      "comment_count": 4,
      "views": 0,
      "votes": 21
    },
    {
      "id": 581093,
      "title": "Kaggle v.s. Real-quant Problem",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 581201,
      "title": "Evaluation metrics clarification",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 582249,
      "title": "To find the time-dependent features",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 581152,
      "title": "Are the training data enough?",
      "comment_count": 2,
      "views": 0,
      "votes": -3
    },
    {
      "id": 580235,
      "title": "What's your CV strategy and score?",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 580501,
      "title": "Step 1 : Literature Review - Related Papers",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 582272,
      "title": "New High Rank",
      "comment_count": 0,
      "views": 0,
      "votes": -10
    },
    {
      "id": 580843,
      "title": "What each of these fields X1 to X890 represent?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 581078,
      "title": "Update on the train data ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 580107,
      "title": "how to create a community competition make prizes exceed $10,000",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 580532,
      "title": "Re_POST of HOW to deal with memory in R? ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 580270,
      "title": "Winning Solutions from Past Trading Competitions",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 580557,
      "title": "Is it possible to implement Time Series based models?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 580473,
      "title": "Best train / val split to match test score",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 580704,
      "title": "Highly Correlated Features",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 581209,
      "title": "Free idea ",
      "comment_count": 0,
      "views": 0,
      "votes": -8
    },
    {
      "id": 580067,
      "title": "Baseline Starter LB:0.058 Wow!",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 580468,
      "title": "How to Approach EDA with a lot of Anonymized Features?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 580744,
      "title": "What is the compatition evaluation metric?",
      "comment_count": 1,
      "views": 0,
      "votes": -3
    },
    {
      "id": 580633,
      "title": "Train and Test Distribution",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 580436,
      "title": "I am bit confused about the reason why the organizers mask the timestamp",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 580608,
      "title": "Why NOT offering public prices data?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 580240,
      "title": "irregular gaps: How much of the problem is it?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}