{
  "total": 488,
  "topics": [
    {
      "id": 441590,
      "title": "Competition Q&A",
      "comment_count": 302,
      "views": 0,
      "votes": 68
    },
    {
      "id": 486883,
      "title": "Recap of Competition - Congratulations to the Winners!",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 485903,
      "title": "Final update has been published",
      "comment_count": 20,
      "views": 0,
      "votes": 12
    },
    {
      "id": 441816,
      "title": "Working at Optiver",
      "comment_count": 24,
      "views": 0,
      "votes": 43
    },
    {
      "id": 575909,
      "title": "No module named 'optiver2023.competition'",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 487446,
      "title": "1st place solution",
      "comment_count": 76,
      "views": 0,
      "votes": 338
    },
    {
      "id": 486868,
      "title": "9th Place Solution",
      "comment_count": 36,
      "views": 0,
      "votes": 66
    },
    {
      "id": 486169,
      "title": "Prize-Winner (7th place solution)",
      "comment_count": 10,
      "views": 0,
      "votes": 43
    },
    {
      "id": 442851,
      "title": "Weights of the Synthetic Index",
      "comment_count": 48,
      "views": 0,
      "votes": 141
    },
    {
      "id": 520223,
      "title": "New submissions public scores are zero and new private score start to reflect old public split?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 486040,
      "title": "6th Place Solution",
      "comment_count": 20,
      "views": 0,
      "votes": 49
    },
    {
      "id": 491047,
      "title": "275 Place Solution for the Optiver - Trading at the Close (Drop from silver on public to bronze on private)",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 487978,
      "title": "Public score 0.0000 and unranked?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 487276,
      "title": "[20th] Place Solution for the [Optiver - Trading at the Close] Competition",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 485985,
      "title": "14th Place Gold Solution",
      "comment_count": 24,
      "views": 0,
      "votes": 31
    },
    {
      "id": 486228,
      "title": "From public 1000+ to 34th",
      "comment_count": 8,
      "views": 0,
      "votes": 14
    },
    {
      "id": 486666,
      "title": "Private 50th Place Solution",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 486032,
      "title": "Submission Disappeared ",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 486086,
      "title": "15th place solution",
      "comment_count": 2,
      "views": 0,
      "votes": 23
    },
    {
      "id": 485967,
      "title": "25th Place Solution",
      "comment_count": 4,
      "views": 0,
      "votes": 22
    },
    {
      "id": 486038,
      "title": "89th Place Solution",
      "comment_count": 2,
      "views": 0,
      "votes": 19
    },
    {
      "id": 485924,
      "title": "Lessons learned",
      "comment_count": 7,
      "views": 0,
      "votes": 18
    },
    {
      "id": 485932,
      "title": "Leaderboard after final update - chart",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 485993,
      "title": "23rd Place: Thoughts & Reflection",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 486816,
      "title": "Does the API now generates all the data that was used through training & testing phases? ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 485946,
      "title": "Visualizing the closing update",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 485939,
      "title": "[Rank 283 private LB] PurgedCV + Stock clustering approach",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 485921,
      "title": "What a close! ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 486011,
      "title": "Request to Compute Private Score Board That didn’t Run in Time",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 485975,
      "title": "Anyway to see the grade for two submission?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 485933,
      "title": "Models not scored?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 485384,
      "title": "Competition close delayed by 2-5 days",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 485015,
      "title": "About the final results announcement date",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 486239,
      "title": "No Free Money Theorem and Ensemble of Models",
      "comment_count": 0,
      "views": 0,
      "votes": -14
    },
    {
      "id": 481600,
      "title": "[Silver solution] Rolling stats + GroupedKFold approach",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 480009,
      "title": "Leaderboard after 4th update - chart",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 480008,
      "title": "Analyzing the churn after the latest update",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 483860,
      "title": "Are leaderboard updates happening on solutions that survived the previous LB update?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 462370,
      "title": "What I learned in Optiver Competition",
      "comment_count": 26,
      "views": 0,
      "votes": 29
    },
    {
      "id": 479998,
      "title": "Fourth leaderboard update posted",
      "comment_count": 17,
      "views": 0,
      "votes": 12
    },
    {
      "id": 462653,
      "title": "14th Place Solution for the Optiver - Trading at the Close Competition",
      "comment_count": 13,
      "views": 0,
      "votes": 25
    },
    {
      "id": 462664,
      "title": "[Public LB 23th]Feature is all you need",
      "comment_count": 16,
      "views": 0,
      "votes": 41
    },
    {
      "id": 473085,
      "title": "How significant is the impact of online learning?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 468536,
      "title": "Does Best Public Notebooks overfitted?",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 469142,
      "title": "What's your gbdt model performance?",
      "comment_count": 27,
      "views": 0,
      "votes": 17
    },
    {
      "id": 473708,
      "title": "Nasdaq Closing Cross auction: how to place order if I have a predicted price",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 480675,
      "title": "4th leaderboard update: 'Unranked' status",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 480062,
      "title": "ideas and Features for Potential Silver Medal Success",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 480166,
      "title": "Why did my LB ranking go up tpday?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 468582,
      "title": "It is worth sharing such a record.",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 462639,
      "title": "NN with no feature engineering (get 5.34X)",
      "comment_count": 15,
      "views": 0,
      "votes": 63
    },
    {
      "id": 480051,
      "title": "Regarding the question about updates",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 465277,
      "title": "Shaking is coming... Meme time!",
      "comment_count": 13,
      "views": 0,
      "votes": 5
    },
    {
      "id": 463826,
      "title": "Why there's leakage in most notebooks",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 462666,
      "title": "[7th Public Submissions] Betting on Recent or Historical Patterns",
      "comment_count": 36,
      "views": 0,
      "votes": 19
    },
    {
      "id": 462650,
      "title": "[30th place] What our team learned and what we tried in this competition ",
      "comment_count": 25,
      "views": 0,
      "votes": 25
    },
    {
      "id": 464930,
      "title": "In ARIMA seasonal_decompose throwing error.",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 477720,
      "title": "ranking problem.   need more decimals.",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 462678,
      "title": "Did anybody use trasnformer? ",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 478040,
      "title": "Initial LB Scores",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 476582,
      "title": "Analyzing the leaderboard updates and potential churn",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 473300,
      "title": "You can find different performance in your submissions between several updatings.",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 476863,
      "title": "Leaderboard after 3rd update - chart",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 476551,
      "title": "Third leaderboard update published",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 472684,
      "title": "Leaderboard dynamics across updates 1-2",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 472664,
      "title": "Second leaderboard update LB still similar?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 454091,
      "title": "What is wrong with my submission?",
      "comment_count": 33,
      "views": 0,
      "votes": 6
    },
    {
      "id": 460095,
      "title": "<Question> Submission Error when add size spread feature",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 457652,
      "title": "Question about time series cross-validation 🙋‍♂️",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 475339,
      "title": "The reason why my name is missing from the leaderboard",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 458549,
      "title": "Auction stage-specific features",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 457123,
      "title": "[Shaking Probability] CV score and LB score start branching!",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 472713,
      "title": "Top performing solutions",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 458334,
      "title": "Memory Limit and Feature Capacity in Kaggle Notebooks",
      "comment_count": 9,
      "views": 0,
      "votes": 0
    },
    {
      "id": 475109,
      "title": "Me and my team not showing on leaderboard",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 475573,
      "title": "Optiver - Trading at the Close:: Discussion Topic",
      "comment_count": 0,
      "views": 0,
      "votes": -14
    },
    {
      "id": 456980,
      "title": "Graph Neural Network",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 473060,
      "title": "Leaderboard after 2nd update - chart",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 472653,
      "title": "Second leaderboard update complete",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 472897,
      "title": "Only one submission scored in the second update",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 472082,
      "title": "Is there a schedule for leaaderboard updates?",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 469534,
      "title": "[Help] Is it possible for organizer to confirm whether the allocated resources in prediction phase are lower than submission phase~",
      "comment_count": 18,
      "views": 0,
      "votes": 5
    },
    {
      "id": 444508,
      "title": " Submission scoring error",
      "comment_count": 26,
      "views": 0,
      "votes": 8
    },
    {
      "id": 468464,
      "title": "First leaderboard update posted",
      "comment_count": 34,
      "views": 0,
      "votes": 18
    },
    {
      "id": 472398,
      "title": "When will the second update of the leaderboard take place?",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 468538,
      "title": "The familiar shake, just like the first Optiver competition.",
      "comment_count": 14,
      "views": 0,
      "votes": 4
    },
    {
      "id": 468579,
      "title": "What percentage of top 100 is continuous learning?",
      "comment_count": 15,
      "views": 0,
      "votes": 10
    },
    {
      "id": 468512,
      "title": "【Final Update】Let's Share the transition of the Private LB update!",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 468493,
      "title": "Leaderboard after 1st update - chart",
      "comment_count": 12,
      "views": 0,
      "votes": 13
    },
    {
      "id": 468448,
      "title": "[Obsolete] First leaderboard update in progress - expect odd state for the next hour",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 469512,
      "title": "why my team is not on leaderboard?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 468626,
      "title": "How Best Public Notebooks perform in the first update",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 468642,
      "title": "Why does it appear \"Preparing for the first LB update\" in my submission?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 468667,
      "title": "Just one of my submissions was updated",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 467606,
      "title": "When will the rankings be updated?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 467060,
      "title": "Submissions tab is missing?",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 465255,
      "title": "When will be the first Leaderboard update?",
      "comment_count": 17,
      "views": 0,
      "votes": 9
    },
    {
      "id": 467615,
      "title": "Can I use KaggleAPI to get LB score?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 462527,
      "title": "Future leaderboard updates",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 462416,
      "title": "Optiver: last day competition statistics",
      "comment_count": 13,
      "views": 0,
      "votes": 15
    },
    {
      "id": 462743,
      "title": "[5th Public LB] LGB Continuous Learning + Catboost Ensemble",
      "comment_count": 18,
      "views": 0,
      "votes": 28
    },
    {
      "id": 459562,
      "title": "Second interim data update posted",
      "comment_count": 28,
      "views": 0,
      "votes": 10
    },
    {
      "id": 462369,
      "title": "Expectations versus Reality -  Optiver2023-24 ... and versus ICR versus AMP",
      "comment_count": 16,
      "views": 0,
      "votes": 6
    },
    {
      "id": 463997,
      "title": "Dataset Needed",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 464095,
      "title": "Will there be a late submission?",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 463353,
      "title": "Merry Christmas to all of you!",
      "comment_count": 0,
      "views": 0,
      "votes": 15
    },
    {
      "id": 463227,
      "title": "[2770th Public LB] - a Pre Post Mortem Analysis",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 461417,
      "title": "Meme thread!",
      "comment_count": 24,
      "views": 0,
      "votes": 28
    },
    {
      "id": 462636,
      "title": "Congratulations!🎉🎉",
      "comment_count": 2,
      "views": 0,
      "votes": 19
    },
    {
      "id": 462822,
      "title": "[68th LB score] LGBM single model refitted every 22 days",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 462642,
      "title": "My thoughts on the Magic, post processing and other topics 😊",
      "comment_count": 17,
      "views": 0,
      "votes": 8
    },
    {
      "id": 462775,
      "title": "Solutions submitted and ideas not submitted.",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 462925,
      "title": "Replication of online learning in CV",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 462647,
      "title": "Target noise",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 462652,
      "title": "Debug using the train data and the given API class",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 462723,
      "title": "probably correct postprocessing",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 462862,
      "title": "Thoughts after Competition",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 462646,
      "title": "Post Processing Method: subtracted weighted sum of predictions / the weighted sum of weights",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 462022,
      "title": "Obtaining past target values with wap",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 462405,
      "title": "Does 9-hr limit apply to prediction phase notebook runs? ",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 462745,
      "title": "Private LB",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 462594,
      "title": "Competition deadine & submissions scoring",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 462533,
      "title": "My learnings from participating in this Optiver competition",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 461859,
      "title": "Competition shows that it's pretty hard to predict stocks?",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 462154,
      "title": "zero_sum VS predictions - np.mean(predictions)",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 462496,
      "title": "Question: currently_scored == True, when applying the private LB data.",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 461872,
      "title": "The Likelihood of Major Shakes in Private LB Standings",
      "comment_count": 14,
      "views": 0,
      "votes": 8
    },
    {
      "id": 461917,
      "title": "How big is your submission leap of faith :)",
      "comment_count": 10,
      "views": 0,
      "votes": 6
    },
    {
      "id": 462263,
      "title": "If You Had An Extra Week",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 462638,
      "title": "late submission ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 462625,
      "title": "Can I select the submission that was submitted last but not finished before the deadline?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 462604,
      "title": "Submission Scoring Error: Other causes",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 462610,
      "title": "A few things about the data before the end of the competition",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 461778,
      "title": "How Much Does Threadripper 3970x Help in Training LightGBM Models?",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 462069,
      "title": "How many features that you guys used to?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 461989,
      "title": "The shape of revealed target if delisted or halted",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 462299,
      "title": "Five Fold probably would run out of time scoring in Private LB",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 462285,
      "title": "About currently_scored",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 461192,
      "title": "Inconsistent Between LB v.s. CV After Adding Long Window Features",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 461364,
      "title": " Is it possible to upload a locally pre-trained model  to a notebook and submit it?",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 462175,
      "title": "Submission error solved",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 462356,
      "title": "Submission notebook - Is it required to run the training code in the kaggle notebook? ",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 461370,
      "title": "No Free Money Theorem : No Free Lunch Theorem extended for Stock Prediction",
      "comment_count": 4,
      "views": 0,
      "votes": -4
    },
    {
      "id": 462321,
      "title": "unable to edit code",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 461884,
      "title": "submission scoring error **solved**",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 461465,
      "title": "When rolling features meet cross day situation",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 462075,
      "title": "Submission Error",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 461889,
      "title": "When will the next optiver competition be?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 461905,
      "title": "Stocks changing",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 461679,
      "title": "The number of rows of 'revealed_targets' and 'sample_prediction' do not match for each iteration",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 461031,
      "title": "Hyperparameter tuning for the best public notebook",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 461706,
      "title": "Steps to debug Submission Scoring Error",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 462035,
      "title": "Question on Structure of Data provided via API",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 461893,
      "title": "Do I have to keep \"far_price\" column for feature engineering?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 458378,
      "title": "Statistics: How many features you used and what LB score you achieved?",
      "comment_count": 34,
      "views": 0,
      "votes": 8
    },
    {
      "id": 461609,
      "title": "How to avoid running out of time on hidden test data",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 461350,
      "title": "Has anyone tried TemporalFusionTransformer?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 461448,
      "title": "iter_test stops at counter=164, what did I miss?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 461817,
      "title": "About the API stuff? ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 461641,
      "title": "Why is my loss on the training set higher than on the leaderboard?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 461107,
      "title": "Is it normal to post notebooks with medal scores?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 461380,
      "title": "Subtract mean VS Zero-sum",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 459084,
      "title": "How can I use LightGBM model witch is created on Google colaboratory?",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 459876,
      "title": "How to calculate the target?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 460435,
      "title": "Submission Scoring Error",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 458949,
      "title": "Polars may generate errors, thereby leading to inaccurate models",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 460801,
      "title": "I need some help. Submission error. ",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 461378,
      "title": "Some Questions about the submission and local testing",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 461100,
      "title": "notebook cannot load data",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 461077,
      "title": "What does this means - \"Invitation Only\"?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 460654,
      "title": "Articles and Papers Relevant for \"Optiver-Trading at the Close: Predict US Stocks Closing Movements\" Competition",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 461277,
      "title": "GPU usage time has reached the upper limit",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 460664,
      "title": "Picking into the future and feature importance",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 461236,
      "title": "XGBoost/LightGBM speedup using TPU",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 460319,
      "title": "can we get an optiver submission this time?",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 461204,
      "title": "**PermissionError! error trying to create submission.csv  file**",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 461271,
      "title": "Cuda.pandas ImportError",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 461029,
      "title": "Your notebook tried to allocate more memory than is available.",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 457058,
      "title": "Domain knowledge sharing: plausible edge cases",
      "comment_count": 19,
      "views": 0,
      "votes": 34
    },
    {
      "id": 461068,
      "title": "Submission Error: Notebook Threw Exception",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 460492,
      "title": "Fixing bug in code worsens LB score (how should I interpret this?)",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 458381,
      "title": "Tips for mitigating the shake in the private leaderboard",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 461056,
      "title": "Are there memory limits for submission?",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 459300,
      "title": "Notebook timeout error despite short notebook runtime.",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 461050,
      "title": "**confused, please clear me this out**",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 460796,
      "title": "How to upload models to notebook and load models to make predictions?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 460556,
      "title": "submission error",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 453609,
      "title": "Some ideas and implementation of features",
      "comment_count": 19,
      "views": 0,
      "votes": 73
    },
    {
      "id": 460750,
      "title": "Is there a ML way to generate more features?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 460100,
      "title": "why are r2 scores this low?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 454454,
      "title": "Latest NVIDIA cuDF fully supports Pandas with 150x speedup! No code changes needed!",
      "comment_count": 11,
      "views": 0,
      "votes": 24
    },
    {
      "id": 459329,
      "title": "How many days will our codes be operational, including both scored and unscored periods at the end?",
      "comment_count": 12,
      "views": 0,
      "votes": 7
    },
    {
      "id": 456458,
      "title": "Summarizing our collective learnings over the past 2 months",
      "comment_count": 12,
      "views": 0,
      "votes": 44
    },
    {
      "id": 460362,
      "title": "question about stock_id - a stock will be delisted in the private LB scoring period, stock_id remains unchanged or not?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 460215,
      "title": "Over time issue",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 460430,
      "title": "Submission Scoring Error",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 453155,
      "title": "Kernel crashes when trying to run CatBoost model on GPU",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 459397,
      "title": "is it allowed to use model from private notebook?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 459663,
      "title": "Float Precsion issue for the data loaed with API",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 454680,
      "title": "Any idea for cluster feature?",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 456195,
      "title": "Is `reference_price` calculated incorrectly?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 460005,
      "title": "Submission Error:",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 457721,
      "title": "Reverse Engineering",
      "comment_count": 9,
      "views": 0,
      "votes": 50
    },
    {
      "id": 459575,
      "title": "Submission error",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 454103,
      "title": "Interim data update planned for the week of November 13th",
      "comment_count": 44,
      "views": 0,
      "votes": 31
    },
    {
      "id": 457610,
      "title": "Learning from Mistakes - Use TDD",
      "comment_count": 6,
      "views": 0,
      "votes": 31
    },
    {
      "id": 459232,
      "title": "Confusions about the Rolling Features  and  DIff Features ",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 459537,
      "title": "How is the public score calculated?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 458907,
      "title": "Why I can get 4.1748cv?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 455462,
      "title": "Interim hidden dataset update is live",
      "comment_count": 101,
      "views": 0,
      "votes": 23
    },
    {
      "id": 458926,
      "title": "Some API test data frames do not have 200 stocks in it",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 458360,
      "title": "Time out during scoring",
      "comment_count": 12,
      "views": 0,
      "votes": 2
    },
    {
      "id": 459074,
      "title": "Is our Optiver dataset a time series or is it not because of large gaps?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 459034,
      "title": "Submission Scoring Error",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 459198,
      "title": "Please help: submission scoring error.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 455531,
      "title": "Submission Scoring Error after DATA UPDATE",
      "comment_count": 50,
      "views": 0,
      "votes": 10
    },
    {
      "id": 455937,
      "title": "To avoid final submission timeout, what is the running time limit for the current public leaderboard?",
      "comment_count": 17,
      "views": 0,
      "votes": 9
    },
    {
      "id": 457928,
      "title": "Let’s talk about stock_id",
      "comment_count": 7,
      "views": 0,
      "votes": 10
    },
    {
      "id": 456438,
      "title": "Local CV and Public Score Correlation",
      "comment_count": 36,
      "views": 0,
      "votes": 41
    },
    {
      "id": 456286,
      "title": "Submission Scoring Failed",
      "comment_count": 25,
      "views": 0,
      "votes": 12
    },
    {
      "id": 458517,
      "title": "Submission error ",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 458717,
      "title": "use of saved model",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 450626,
      "title": "About some modeling ideas",
      "comment_count": 72,
      "views": 0,
      "votes": 139
    },
    {
      "id": 458655,
      "title": "You must call `predict()` successfully before you can continue with `iter_test()",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 458183,
      "title": "sector updates, market cap & other stats + stock_id embeddings as an alternative to categorical feature?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 455690,
      "title": "Inconsistent results in public LB before and after API update, with no code changes",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 458577,
      "title": "What imagine/container or environment the public/private scoring will use?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 458103,
      "title": "Feature selection correlation threshold",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 455384,
      "title": "Is there anyone tried to build LGBM for each stock_id? [200 models]",
      "comment_count": 10,
      "views": 0,
      "votes": 14
    },
    {
      "id": 455468,
      "title": "Are there any tips for building a NN model?",
      "comment_count": 41,
      "views": 0,
      "votes": 13
    },
    {
      "id": 444516,
      "title": "Features as explained to a kid",
      "comment_count": 63,
      "views": 0,
      "votes": 166
    },
    {
      "id": 454179,
      "title": "Technical analysis functions to generate more features",
      "comment_count": 10,
      "views": 0,
      "votes": 27
    },
    {
      "id": 458259,
      "title": "Discrepancy between Validation and Test Set MAE in Model Training",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 458521,
      "title": "Beyond the standard data",
      "comment_count": 2,
      "views": 0,
      "votes": -4
    },
    {
      "id": 458233,
      "title": "Something related to \"Submission Scoring Error\"",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 457778,
      "title": "Trying different imputation techniques",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 455666,
      "title": "some question about nn",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 458148,
      "title": "Continuous Model Training with Revealed Targets?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 456817,
      "title": "TPU cannot be used in this competition?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 457537,
      "title": "baseline prediction vs. simple mapping (using imbalance flag)",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 457230,
      "title": "Does someone have a summary for late joiners?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 454916,
      "title": "How to do feature selection?",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 457032,
      "title": "Issues with Optuna + XGBoost 🤦‍♂️",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 457651,
      "title": "Need help, got submission.csv but have submission scoring error??",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 457504,
      "title": "Exploring derived WAP features",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 453224,
      "title": "How can I install LGB GPU without internet?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 455538,
      "title": "notebook threw exception",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 456593,
      "title": "any good solution for speedup rolling feature",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 456435,
      "title": "[Finding] the Mechanism of Newly Added Data",
      "comment_count": 11,
      "views": 0,
      "votes": 12
    },
    {
      "id": 454692,
      "title": "Unable to submit",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 456280,
      "title": "How to survive shakeup",
      "comment_count": 9,
      "views": 0,
      "votes": 16
    },
    {
      "id": 457483,
      "title": "MAE is not the right metric.",
      "comment_count": 4,
      "views": 0,
      "votes": -19
    },
    {
      "id": 448380,
      "title": "Noob question about submission",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 457244,
      "title": "weights number",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 457315,
      "title": "team up for this project",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 456903,
      "title": "Scoring Error : might be caused by the incorrect  length of y_pred?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 456186,
      "title": "Possibility of Loading a Saved Model",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 445585,
      "title": "HELP please : Submission scoring error ",
      "comment_count": 27,
      "views": 0,
      "votes": 5
    },
    {
      "id": 451735,
      "title": "Faster solution for building features",
      "comment_count": 21,
      "views": 0,
      "votes": 54
    },
    {
      "id": 457297,
      "title": "Disagreement of calculated MAE and public scores",
      "comment_count": 2,
      "views": 0,
      "votes": -4
    },
    {
      "id": 456894,
      "title": "The near price / reference price in the dataset doesn't meet the definition",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 442453,
      "title": "All previous Kaggle Trading competitions",
      "comment_count": 9,
      "views": 0,
      "votes": 47
    },
    {
      "id": 456268,
      "title": "How do you avoid timeout issues?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 457108,
      "title": "colsample_bytree will affect the scores if shuffle the columns",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 457097,
      "title": "scoring error caused by pd.concat.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 443275,
      "title": "[finding] the mechanism of revealed_targets",
      "comment_count": 15,
      "views": 0,
      "votes": 34
    },
    {
      "id": 456770,
      "title": "Is it worth to try Prophet model of facebook on target or wap column?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 456603,
      "title": "Submission scoring error",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 443571,
      "title": "Minor data update: API delivers last three date IDs of training data for demonstration purposes",
      "comment_count": 12,
      "views": 0,
      "votes": 19
    },
    {
      "id": 455940,
      "title": "Scorer - Interpretation",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 456679,
      "title": "'currently_scored' column in test.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 456444,
      "title": "ML algorithms not training",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 456635,
      "title": "🐢Help on⚡Inference⚡Speed Ups🐇",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 456901,
      "title": "Time series model submission issues post data update",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 456628,
      "title": "New dataset not showing",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 456292,
      "title": "What is \"currently_scored\"?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 456700,
      "title": "Error during inference (I think?)",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 456302,
      "title": "Cannot run 'lightgbm' module on TPU ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 456688,
      "title": "Shape mismatch test.csv and revealed_target.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 454283,
      "title": "[Public Notebook Confusion/Discussion] When in doubt, experiment and build it from scratch",
      "comment_count": 10,
      "views": 0,
      "votes": 24
    },
    {
      "id": 448920,
      "title": "Summarizing our collective learnings over the past month",
      "comment_count": 7,
      "views": 0,
      "votes": 46
    },
    {
      "id": 456290,
      "title": "cannot unpack non-iterable NoneType object",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 456622,
      "title": "I'm new to Kaggle , don't know where to start",
      "comment_count": 2,
      "views": 0,
      "votes": -2
    },
    {
      "id": 456529,
      "title": "Can I dump my model to \"/kaggle/working\" directory in advance?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 454786,
      "title": "future forecasting time series models vs. gradient boosting",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 456367,
      "title": "Submisson scoring error",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 456538,
      "title": "Inconsistency with test.csv and last 3days of train.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 455749,
      "title": "Correlation between CV and LB",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 456375,
      "title": "Does test dataset have values that are conflicting?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 455906,
      "title": "Checking how long it takes for scoring a given submission",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 455834,
      "title": "I cant undrestand the diffrence between online and offline mode ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 454190,
      "title": "Feature selection techniques",
      "comment_count": 11,
      "views": 0,
      "votes": 16
    },
    {
      "id": 454136,
      "title": "Anyone achieved high scores using model other than LGBM?",
      "comment_count": 20,
      "views": 0,
      "votes": 17
    },
    {
      "id": 455934,
      "title": "Fist Submission - Problems",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 453664,
      "title": "mae and make money",
      "comment_count": 27,
      "views": 0,
      "votes": 3
    },
    {
      "id": 456060,
      "title": "Will the Makeup of the Synthetic Index Change during the Forecasting Phase??",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 456189,
      "title": "Is TPU available ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 456291,
      "title": "kaggle command line",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 455654,
      "title": "Target Lagged Features",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 455776,
      "title": "How to get good result in this. i am new to kaggle.",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 456240,
      "title": "Stock number of train&test sets are different",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 455980,
      "title": "How to read a LSTM model from pickle file on Kaggle?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 455735,
      "title": "How to invert the time series prices back to the original format?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 455639,
      "title": " Submission Scoring Error with good submission code previously",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 455741,
      "title": "about submission error",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 455692,
      "title": "The 'Save & Run All' keeps failing ",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 456045,
      "title": "Is anyone using the Public_timeseries_testing_util?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 454967,
      "title": "How to speed up the creation of rolling features?",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 441959,
      "title": "New to Kaggle or Machine Learning? Check this out ~",
      "comment_count": 28,
      "views": 0,
      "votes": 21
    },
    {
      "id": 454687,
      "title": "Be careful that LGBM (GPU training) may not be reproducible !!!",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 455637,
      "title": "Need Help With Submission Error",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 452872,
      "title": "Are our models just making \"nice\" guesses",
      "comment_count": 32,
      "views": 0,
      "votes": 19
    },
    {
      "id": 454607,
      "title": "Missing data in the test data",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 453811,
      "title": "The hidden index wap",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 455197,
      "title": "What exactly is time ID? It's not mentioned in the Data Description",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 454941,
      "title": "target value for last 60 sec",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 454777,
      "title": "Number of submissions -- per person or per team?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 453641,
      "title": "What are we predicting?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 454988,
      "title": "Any good constant to put in?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 454175,
      "title": "Why do we need feature engineering?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 454783,
      "title": "Target Question",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 451900,
      "title": "Scoring takes over 5 hours",
      "comment_count": 12,
      "views": 0,
      "votes": 7
    },
    {
      "id": 453557,
      "title": "What is the time horizon of predictions in the API served dataframe?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 447671,
      "title": "Seek Help: Submission Scoring Error",
      "comment_count": 12,
      "views": 0,
      "votes": 4
    },
    {
      "id": 451702,
      "title": "[Question] goto_conversion",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 454748,
      "title": "I don't understand the mechanism of API submission and the use of the \"optive 2023\" file. Please help!",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 447975,
      "title": "submission scoring error (as simple as this) No Model - No FE - No Function involved! can you spot the error?",
      "comment_count": 11,
      "views": 0,
      "votes": 7
    },
    {
      "id": 454374,
      "title": "Tutorial on Clustering with Time Series Data",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 441960,
      "title": "Looking for a Team Megathread",
      "comment_count": 160,
      "views": 0,
      "votes": 17
    },
    {
      "id": 451251,
      "title": " Can anyone explain the zero sum function in most of the public notebooks?",
      "comment_count": 40,
      "views": 0,
      "votes": 18
    },
    {
      "id": 448069,
      "title": "How to compare / combine the MAE across multiple folds",
      "comment_count": 12,
      "views": 0,
      "votes": 16
    },
    {
      "id": 454489,
      "title": "Issues submitting predictions",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 454361,
      "title": "what is revealed_targets.csv?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 454228,
      "title": "Try to have an lower MAE",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 453128,
      "title": "Purging & Embargo for Predictive Prowess 💪📊",
      "comment_count": 12,
      "views": 0,
      "votes": 22
    },
    {
      "id": 453546,
      "title": "Rolling features - Is it the correct approach?",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 454357,
      "title": "Submission Failure",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 441966,
      "title": "Onboarding materials and resources ",
      "comment_count": 11,
      "views": 0,
      "votes": 94
    },
    {
      "id": 451532,
      "title": "Optiver Kernel stats",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 447066,
      "title": "The best params for LGBM",
      "comment_count": 35,
      "views": 0,
      "votes": 15
    },
    {
      "id": 453485,
      "title": "Is sequential models worth a try?",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 454204,
      "title": "submission question",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 448714,
      "title": "Sharing submissions timing script",
      "comment_count": 5,
      "views": 0,
      "votes": 23
    },
    {
      "id": 453949,
      "title": "No correlation between target and features",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 454075,
      "title": "Low LightGBM GPU usage",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 453507,
      "title": "[LB5.3393] Use Rapids Speed up Feature Engineering 🚀🚀🚀",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 453837,
      "title": "Can you refresh a notebook while it's running? ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 442669,
      "title": "Nasdaq closing auction: mechanism and key data columns",
      "comment_count": 19,
      "views": 0,
      "votes": 63
    },
    {
      "id": 453628,
      "title": "Submission",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 453068,
      "title": "Why most of the baselines in LGBM",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 451483,
      "title": "Datasets for Private Leaderboard and Continuity of Data ",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 453634,
      "title": "Could not find provided notebook XXXXXX",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 453353,
      "title": "Data frequency",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 453227,
      "title": "Run notebooks overnight?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 453530,
      "title": "why Kaggle cannot import lightgbm??",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 452946,
      "title": "Detailed Feature Explanations as to a HS Student",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 450599,
      "title": "Error: Number of features in data (78) is not the same as it was in training data (94)",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 453233,
      "title": "Is my generalisation of problem in ML space correct",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 453121,
      "title": "Can some one tell me how to activate the team status?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 453237,
      "title": "Submission Scoring Error",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 453220,
      "title": "about test set in submission",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 453007,
      "title": "Submission CSV Not Found",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 452737,
      "title": "Is it possible to delete specific version of a notebook?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 452681,
      "title": "Missing values",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 452834,
      "title": "LGB Fine-tuned Notebook question",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 453082,
      "title": "Will using pre-trained models affect the scoring?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 452395,
      "title": "speed-up XGBoost 10x with GPU",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 452461,
      "title": "Using pre-trained model when submitting - joblib or pickle?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 452189,
      "title": "Simple tip to building feature faster",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 452833,
      "title": "Unable to load the Optiver2023 package in jupyter notebooks.",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 452551,
      "title": "Why can't I import this environment package after switching to TPU?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 452373,
      "title": "how long dose the scoring taking time ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 447877,
      "title": "Clarification on the hidden test data",
      "comment_count": 1,
      "views": 0,
      "votes": 13
    },
    {
      "id": 449002,
      "title": "Kaggle Kernels community relationship",
      "comment_count": 10,
      "views": 0,
      "votes": 33
    },
    {
      "id": 450948,
      "title": "Question regarding Training/Inference",
      "comment_count": 11,
      "views": 0,
      "votes": 9
    },
    {
      "id": 451457,
      "title": "Can Auto ML fameworks performing well in this competition?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 443384,
      "title": "Maybe a newbie question but why are we insterested in WAP? ",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 451669,
      "title": "Approaches Taken",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 450896,
      "title": "Do categorical features help",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 443396,
      "title": "📈Market Prediction - 🏆Winning Solutions from other competitions - Useful for Optiver - Trading at the Close - Predict US stocks closing movements📈❓",
      "comment_count": 3,
      "views": 0,
      "votes": 14
    },
    {
      "id": 451610,
      "title": "submission",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 451724,
      "title": "*Solved* Running notebooks locally and TypeError: '>' not supported between instances of 'NoneType' and 'int'",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 451519,
      "title": "Regarding the submission code:",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 448148,
      "title": "Some (maybe) useful facts",
      "comment_count": 9,
      "views": 0,
      "votes": 16
    },
    {
      "id": 451297,
      "title": "Data set in training and in testing from API",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 450930,
      "title": "I need to switch a team member with another, how I can do?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 449129,
      "title": "Rolling features",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 450841,
      "title": "Can I use the previous time target as my feature value in the test set ?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 450330,
      "title": "Question about submission",
      "comment_count": 19,
      "views": 0,
      "votes": 4
    },
    {
      "id": 451413,
      "title": "Ensemble in Regression Tasks",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 450808,
      "title": "Strategic Approach to Feature Building",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 449208,
      "title": "target as feature",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 448636,
      "title": "🌟 The Magic of Sectors, PCA, and Personal Exploration! 🌟",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 450771,
      "title": "Production API Group IDs",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 450855,
      "title": "The missing value",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 444158,
      "title": "Every submission, need to Re-train the model? ",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 450389,
      "title": "Inquiry about null values found ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 445025,
      "title": "Demystifying the dataset: A Guide to Understanding Optiver - Trading at the Close",
      "comment_count": 15,
      "views": 0,
      "votes": 41
    },
    {
      "id": 450323,
      "title": "Videos about trading at the close",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 450305,
      "title": "submission score error",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 449076,
      "title": "Does the tick size trick also work in the current competition？ ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 449105,
      "title": "Do Normalize Price Help",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 449228,
      "title": " Thoughts on Rolling Features",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 449023,
      "title": "synthetic index",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 442158,
      "title": "Import error on windows",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 448967,
      "title": "Transparency and Data Updates in the Forecasting Timeline Competition",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 448944,
      "title": "Is there any way to recover the original price?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 444517,
      "title": "I want to know about dataset features and time series concept",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 448537,
      "title": "NaN value in the target",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 447556,
      "title": "Candlestick Patterns - worth to try?",
      "comment_count": 7,
      "views": 0,
      "votes": 15
    },
    {
      "id": 448607,
      "title": "example_test_files as validation or test set!",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 448507,
      "title": "Test set size",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 448237,
      "title": "No module named 'optiver2023.competition'",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 443553,
      "title": "Questions about the examples in nasdaq official document.",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 442000,
      "title": "Questions about prediction environments",
      "comment_count": 7,
      "views": 0,
      "votes": 12
    },
    {
      "id": 444169,
      "title": "Possible leakage?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 448322,
      "title": "How can we use sequential models in this competition?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 442964,
      "title": "What's the purpose of hiding information?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 447967,
      "title": "Why save and run successfull, but submissions fails?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 447952,
      "title": "time_id aggregate features",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 442632,
      "title": "Rolling Features in test",
      "comment_count": 16,
      "views": 0,
      "votes": 21
    },
    {
      "id": 442608,
      "title": "Understanding far price in the dataset",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 447097,
      "title": "Has anyone identified the 200 stocks in train?",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 447738,
      "title": "Exception: You can only call `make_env()` once.",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 447178,
      "title": "combined book",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 445750,
      "title": "What‘s wrong with lstm? ",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 447580,
      "title": "Score Calculation",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 447713,
      "title": "Importance of seconds_in_bucket",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 447889,
      "title": "Extra data 🤔",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 447301,
      "title": "Submission Scoring Error",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 447047,
      "title": "Will there be any order filled in the last 10 minutes?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 442600,
      "title": "Understanding the Data",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 447096,
      "title": "Basic submission issue",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 447482,
      "title": "Are there values not visible in the test data?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 446875,
      "title": "Is the timestamp of test data continuous with train data in both public LB and private LB? ",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 446874,
      "title": "This version of the API is not optimized and should not be used to estimate the runtime of your code on the hidden test set.",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 447065,
      "title": "Validation split",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 445414,
      "title": "Handling Missing Values: An Exploration and Strategy Discussion",
      "comment_count": 7,
      "views": 0,
      "votes": 14
    },
    {
      "id": 443461,
      "title": "CV and Leaderboard Scores",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 445145,
      "title": "How can I use optiver2023 library locally?",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 446357,
      "title": "Dropping nan values are the better way to handle them in this dataset? ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 443195,
      "title": "Obtain Information by Submitting",
      "comment_count": 16,
      "views": 0,
      "votes": 34
    },
    {
      "id": 443507,
      "title": "Date Range for the Train & Test",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 446499,
      "title": "Can anyone give an example of how to test locally and how to submit?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 446198,
      "title": "Optimizing Dataframes: Datatypes and File Formats",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 443208,
      "title": "stock_id at inference/forecasting phase",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 446081,
      "title": "Clarification Question: Will all the stockids in private test be seen at least once in training data?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 445582,
      "title": "Predict from a C program?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 445723,
      "title": "can you add your repo for submission",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 445734,
      "title": "How to use a  trained model for submission?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 445468,
      "title": "Rolling Feature Lead to Worse Performance",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 445639,
      "title": "Who can more historical dataset?  or where to get them freely?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 442293,
      "title": "stock universe in test",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 445324,
      "title": "submission issue",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 445441,
      "title": "Questions about the target",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 442145,
      "title": "Missing Value in Target",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 445476,
      "title": "关于比赛规则尤其是是否可以使用预训练模型的问题",
      "comment_count": 2,
      "views": 0,
      "votes": -13
    },
    {
      "id": 444645,
      "title": "Is external dataset allowed be to used during the competition?",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 444539,
      "title": "Meaning of each price",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 443449,
      "title": "Big gap between CV and LB ",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 444644,
      "title": "Submission Query",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 444604,
      "title": "Prices are normalised to the opening WAP at 1.0, but sizes are a value not a number of units?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 444054,
      "title": "Missing Values in Various Columns",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 442864,
      "title": "Stock 112 is an ETF?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 444075,
      "title": "Need help, whats wrong with my submission?",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 444025,
      "title": "submitting an R model",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 442470,
      "title": "Is it allowed a model that uses information from the recent past?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 444027,
      "title": "Contiguous Train Test Dates",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 444388,
      "title": "Synthetic custom weighted index",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 442401,
      "title": "About LB Question",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 444088,
      "title": "What should we have an understanding of to attempt something like this?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 442021,
      "title": "Volatility Matters. What worked and what didn't work on the last Optiver Competition.",
      "comment_count": 6,
      "views": 0,
      "votes": 79
    },
    {
      "id": 442477,
      "title": "Notebook Memory Error",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 442796,
      "title": "Exact formula for computing target (Index)",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 442380,
      "title": "Competition turnaround time",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 442167,
      "title": "The previous Optiver competition and its top solutions",
      "comment_count": 1,
      "views": 0,
      "votes": 27
    },
    {
      "id": 443165,
      "title": "US Stock and Topological Data Analysis (TDA) ",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 442485,
      "title": "Some baseline materials to get started",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 442947,
      "title": "📚 10 Best books to win this competitions 🎯",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 442001,
      "title": "🚀 Papers to Get Started 🚀",
      "comment_count": 0,
      "views": 0,
      "votes": 31
    },
    {
      "id": 442555,
      "title": "How can I test this in a local environment?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 442094,
      "title": "Thanks to the organizers",
      "comment_count": 1,
      "views": 0,
      "votes": 16
    },
    {
      "id": 441978,
      "title": "Competition Hype",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 442222,
      "title": "This Competition has an Official Discord Channel",
      "comment_count": 0,
      "views": 0,
      "votes": 12
    },
    {
      "id": 443115,
      "title": "Relevant external data sources",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 441992,
      "title": "Memory reduced dataset in parquet format",
      "comment_count": 0,
      "views": 0,
      "votes": 12
    },
    {
      "id": 441995,
      "title": "Questions Regarding the Use of External Data",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 442294,
      "title": "so is rnn-based or transformer methods useful in this competition?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    }
  ],
  "errors": []
}