{
  "total": 263,
  "topics": [
    {
      "id": 228207,
      "title": "New to Machine Learning or to Kaggle? Check this out ~",
      "comment_count": 23,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 232414,
      "title": "External Data Thread",
      "comment_count": 66,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 243730,
      "title": "Show US the Data Conference Announcement and Save the Date",
      "comment_count": 1,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 228463,
      "title": "Update complete",
      "comment_count": 16,
      "views": 0,
      "votes": 46,
      "reused": true
    },
    {
      "id": 228206,
      "title": "Looking for a Team Megathread",
      "comment_count": 127,
      "views": 0,
      "votes": 30,
      "reused": true
    },
    {
      "id": 245126,
      "title": "Private update underway",
      "comment_count": 5,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 236508,
      "title": "Revision to annotations",
      "comment_count": 28,
      "views": 0,
      "votes": 37,
      "reused": true
    },
    {
      "id": 228216,
      "title": "Welcome to Show US the Data",
      "comment_count": 16,
      "views": 0,
      "votes": 34,
      "reused": true
    },
    {
      "id": 228393,
      "title": "We're making some fixes on the back end",
      "comment_count": 5,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 228317,
      "title": "💥💥 Extensive Resource Collection for NLP 🔥🔥",
      "comment_count": 34,
      "views": 0,
      "votes": 139,
      "reused": true
    },
    {
      "id": 228376,
      "title": "All you wanted to know about key phrase extraction and NER and you were too afraid to ask",
      "comment_count": 27,
      "views": 0,
      "votes": 155,
      "reused": true
    },
    {
      "id": 248386,
      "title": "44th place solution",
      "comment_count": 4,
      "views": 0,
      "votes": 29,
      "reused": true
    },
    {
      "id": 257536,
      "title": "NoML : beginner's luck (28th)",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 248459,
      "title": "How I missed a gold medal in my first kaggle competition (could've got 13th place)",
      "comment_count": 10,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 251457,
      "title": "4th place solution - LB probing, acronym detection, and NER",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 248253,
      "title": "1st solution: Matching the <MASK>: Context Similarity via Deep Metric Learning and Beyond",
      "comment_count": 22,
      "views": 0,
      "votes": 80,
      "reused": true
    },
    {
      "id": 248251,
      "title": "1st place solution: Metric learning and GPT",
      "comment_count": 31,
      "views": 0,
      "votes": 130,
      "reused": true
    },
    {
      "id": 248322,
      "title": "First Competition Medal! 🏆",
      "comment_count": 20,
      "views": 0,
      "votes": 34,
      "reused": true
    },
    {
      "id": 249607,
      "title": "34th place solution: Key points",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 248511,
      "title": "14th Place Solution (with notebooks)",
      "comment_count": 3,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 248296,
      "title": "2nd place solution overview",
      "comment_count": 23,
      "views": 0,
      "votes": 96,
      "reused": true
    },
    {
      "id": 248541,
      "title": "13th place solution",
      "comment_count": 1,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 249027,
      "title": "38th place solution (NER + Heuristics)",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 247961,
      "title": "I'm very scared",
      "comment_count": 23,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 248496,
      "title": "6th place solution (lucky novices!)",
      "comment_count": 4,
      "views": 0,
      "votes": 28,
      "reused": true
    },
    {
      "id": 248680,
      "title": "23rd private (1437th public, 4 submissions total) - regular expressions",
      "comment_count": 2,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 248737,
      "title": "41st place solution, experience sharing",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 248657,
      "title": "17th Place Solution - SpaCy 3 (EntityRuler) and NER CRF model",
      "comment_count": 0,
      "views": 0,
      "votes": 17
    },
    {
      "id": 248300,
      "title": "5th place solution",
      "comment_count": 9,
      "views": 0,
      "votes": 41,
      "reused": true
    },
    {
      "id": 248463,
      "title": "33rd place solution: pre- and postprocessing",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 232964,
      "title": "What is your best score without string matching?",
      "comment_count": 78,
      "views": 0,
      "votes": 70,
      "reused": true
    },
    {
      "id": 248360,
      "title": "21st Place Solution: Deep Transformers 1400->21 and the String-Matching repulsion",
      "comment_count": 0,
      "views": 0,
      "votes": 12
    },
    {
      "id": 248247,
      "title": "Which strategy was better for this competition?",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 248305,
      "title": "55th place Solution",
      "comment_count": 4,
      "views": 0,
      "votes": 21,
      "reused": true
    },
    {
      "id": 248334,
      "title": "Scoring Submission Error - Show US the Data competition",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 248321,
      "title": "LB probing: find the size of public train and public test sets",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 248320,
      "title": "36th Place Solution (and \"could have been\" 22nd solution)",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 248318,
      "title": "516th solution with the one which is supposed to win Copper medal in private score",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 248316,
      "title": "Collection of Winning Solutions",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 248254,
      "title": "47th place solution - no training, no dataset label string matching",
      "comment_count": 4,
      "views": 0,
      "votes": 28,
      "reused": true
    },
    {
      "id": 248246,
      "title": "Congratulations new GM!! ",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 248285,
      "title": "Any R notebooks within the medals?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 248207,
      "title": "Should you let Kaggle choose the best submissions?",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 248252,
      "title": "73rd place solution",
      "comment_count": 2,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 248258,
      "title": "the result tell us, Never give up",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 248250,
      "title": "Shaken not stirred",
      "comment_count": 3,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 248248,
      "title": " The shaking is really scary！",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 238005,
      "title": "Are we headed for shake-up armageddon?",
      "comment_count": 17,
      "views": 0,
      "votes": 52,
      "reused": true
    },
    {
      "id": 244505,
      "title": "Let's build a Non-Train-Matching, Train-Label-Removed LB",
      "comment_count": 24,
      "views": 0,
      "votes": 35,
      "reused": true
    },
    {
      "id": 247726,
      "title": "Notable to submit notebook.\"No matching distribution found for stanza\" on docker?",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 247515,
      "title": "What is it we are predicting?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 247877,
      "title": "Currently running time does include running the private test data?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 247837,
      "title": "Kaggle ranking for same scores",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 247842,
      "title": "Why public leaderboard score on only 12% of data?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 247599,
      "title": "[NLP]Citation Networks",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 247334,
      "title": "For one sample id, if we predict 4 datasets, is it necessary taht we will get at least 3 FP for this",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 246937,
      "title": "difficult competition",
      "comment_count": 22,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 245976,
      "title": "My version of the metric",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 246649,
      "title": "Terror of private LB",
      "comment_count": 6,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 235793,
      "title": "Notebook Exceeded Allowed Compute",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 247279,
      "title": "Which is better between Expected Data.json   and  Resolved Data.json ?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 235822,
      "title": "Label clarification :)",
      "comment_count": 5,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 246299,
      "title": "How to predict no dataset for some text ids?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 244988,
      "title": "How does stemming & stop words presence/absence impact LB score?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 246256,
      "title": "Submission Scoring Error",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 244855,
      "title": "How to use the validation set to verify the effect of the model？",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 245647,
      "title": "NLP-Text Matching Technique ",
      "comment_count": 11,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 228235,
      "title": "Papers on discovering data from Scientific Publications with NLP",
      "comment_count": 6,
      "views": 0,
      "votes": 41,
      "reused": true
    },
    {
      "id": 246065,
      "title": "[NLP]SciNLP: Natural Language Processing and Data Mining for Scientific Text",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 243949,
      "title": "More than 280000 dataset title extracted from catalog.data.gov",
      "comment_count": 4,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 245830,
      "title": "1st time submission Notebook has been running for 5 hours",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 230091,
      "title": "Evaluation metric implementation",
      "comment_count": 48,
      "views": 0,
      "votes": 59,
      "reused": true
    },
    {
      "id": 245728,
      "title": "Submission file sort order",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 234343,
      "title": "Not able to use NERModel due to import issue.",
      "comment_count": 8,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 245474,
      "title": "Install TF-text and TF-official-model in one shot",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 243274,
      "title": "BERT for Beginners",
      "comment_count": 19,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 245658,
      "title": "Approaches to get highest Score",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 244894,
      "title": "How to handle outliers? ",
      "comment_count": 6,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 242352,
      "title": "Why so few competition grandmasters?",
      "comment_count": 10,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 240950,
      "title": "I can't find out what is missing for my submission file.",
      "comment_count": 14,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 245175,
      "title": "Issue about \"Notebook Exceeded Allowed Compute\"",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 245294,
      "title": "what is the best model for  compound-protein-interaction prediction?",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 241592,
      "title": " top 22,000 popular gov_datasets",
      "comment_count": 26,
      "views": 0,
      "votes": 45,
      "reused": true
    },
    {
      "id": 228339,
      "title": "Breaking down the evaluation",
      "comment_count": 6,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 245104,
      "title": "how to get 6 LB score",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 243170,
      "title": "Doubt regarding private leaderboard testing",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 245035,
      "title": "Save and load pretrained huggingface models",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 244294,
      "title": "TF hub BERT or HuggingFace BERT for competitions witout internet??",
      "comment_count": 7,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 244472,
      "title": "Help me with error in submission",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 243382,
      "title": "a simple question/request for the host/kaggle on evaluation",
      "comment_count": 9,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 244701,
      "title": "Exploitation vs. Exploration",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 243317,
      "title": "Is there any similar competition to refer to?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 244473,
      "title": "How to create a basic ensemble model?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 238428,
      "title": "What Approach Are you using??",
      "comment_count": 20,
      "views": 0,
      "votes": 30,
      "reused": true
    },
    {
      "id": 244537,
      "title": "How does the system \"mix\" new data into the model when you hit submit?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 244398,
      "title": "How shakeup will be?",
      "comment_count": 10,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 244307,
      "title": "What have you tried but doesn't work?",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 244243,
      "title": "submission scores much faster than notebook",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 243640,
      "title": "which approach to use",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 244302,
      "title": "All External labels from data.gov, using multi processors and multi threads",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 244161,
      "title": "Does the data from the datasets should also be included in the prediction ???",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 244258,
      "title": "Doubts about submission and runs",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 238226,
      "title": " Use multi-answer QA model competition records",
      "comment_count": 27,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 234042,
      "title": "Is manual labeling allowed in this competition?",
      "comment_count": 8,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 243905,
      "title": "About False Positives",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 243843,
      "title": "Is a 'map' a dataset?",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 243878,
      "title": "Notebook Timeout Error",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 238188,
      "title": "Model Time Peformance Variation",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 243296,
      "title": "Error in submission while note running successful",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 243405,
      "title": "What are we predicting?",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 242601,
      "title": "Getting an error Notebook Exceeded Allowed Compute ",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 243062,
      "title": "Notebook Exceeded Allowed Compute",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 243178,
      "title": "Cuda out of memory??",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 243116,
      "title": "a[nother] metric question - a short and concrete testcase",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 243052,
      "title": "Confusion on Datalabel annotation",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 242737,
      "title": "model predictions",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 242704,
      "title": "Can we train a model outside with given data and attach it as a pretrain model and do inference on test data?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 242560,
      "title": "I do not understand",
      "comment_count": 1,
      "views": 0,
      "votes": -1,
      "reused": true
    },
    {
      "id": 241281,
      "title": "CRF + Tensorflow",
      "comment_count": 9,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 242453,
      "title": "Grab a coffee but waited too long - 8 hours to having the result",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 229196,
      "title": "Have you understood what we have to predict?",
      "comment_count": 4,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 242211,
      "title": "System-wide submission outage?",
      "comment_count": 12,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 241480,
      "title": "Submission takes forever even though code runs quick. ",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 242019,
      "title": "Can't access previous Coleridge competition's solution",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 239457,
      "title": "Is string matching allowed?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 241532,
      "title": "One month left!",
      "comment_count": 5,
      "views": 0,
      "votes": 21,
      "reused": true
    },
    {
      "id": 239851,
      "title": "Feature Engineering / Custom Labeling - BIO.",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 241074,
      "title": "Kaggle Error on submission",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 241078,
      "title": "where can I find more bigger-govt-dataset?",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 240948,
      "title": "Single Model Performance",
      "comment_count": 5,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 240271,
      "title": "where is the magic ???",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 240384,
      "title": "Separate IDs exist for the same pub_title",
      "comment_count": 2,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 240126,
      "title": "LARGE EVALUATION TIME ON PUBLIC DATASET",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 239336,
      "title": "Replacing Bert Self Attention with Fourier Transform",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 239127,
      "title": "Regarding Labelling",
      "comment_count": 10,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 239586,
      "title": "What is this competition based on??",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 228276,
      "title": "BERT rules again? [Approach Discussion Thread]",
      "comment_count": 14,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 239418,
      "title": "Mismatch in dataset_label column contents in train.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 237901,
      "title": "Access to `pub_title` during inference?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 236722,
      "title": "Spacy model loading Problem",
      "comment_count": 5,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 238712,
      "title": "Can anyone help me? Why is my score 0?",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 237759,
      "title": "Are predicted labels in training set.",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 238482,
      "title": "GPU Accelerator Problem",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 238802,
      "title": "Offline pip installation of transformers github repo",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 238723,
      "title": "Has anyone already implemented competiton metrics ?",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 238321,
      "title": "What are we penalized more for in the private set?",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 238242,
      "title": "Anyone want to team for learning...my goal is not to win.I want to join an experience team for learning purpose only....i dont need any money for now",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 237364,
      "title": "Winning Solution Design Discussion",
      "comment_count": 3,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 237806,
      "title": "CPU/GPU Notebook <= 9 hours run-time",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 237483,
      "title": "Time Constraints",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 236638,
      "title": "Multiple datasets in one publication?",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 236972,
      "title": "Request to standardize the labels",
      "comment_count": 13,
      "views": 0,
      "votes": 26,
      "reused": true
    },
    {
      "id": 234576,
      "title": "some publications does not look like publications",
      "comment_count": 3,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 235297,
      "title": "What is \"the mention of datasets\"",
      "comment_count": 7,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 236753,
      "title": "About ADNI ",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 236562,
      "title": "Downward pressure on the LB after re-annotation",
      "comment_count": 6,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 233170,
      "title": "Test data are NOT fully labeled (!!)",
      "comment_count": 16,
      "views": 0,
      "votes": 32,
      "reused": true
    },
    {
      "id": 236647,
      "title": "eval score GAP of single model",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 231374,
      "title": "Rich Context - recent competition from Coleridge.",
      "comment_count": 4,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 236569,
      "title": "How to calculate FN?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 236028,
      "title": "removing jaccard similarity lowers my score",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 235068,
      "title": "GPU weekly limit is too little?",
      "comment_count": 12,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 229491,
      "title": "Big Bird : A Viable Transformer for Longer Sequences ?",
      "comment_count": 15,
      "views": 0,
      "votes": 40,
      "reused": true
    },
    {
      "id": 230479,
      "title": "Bring HuggingFace models to Kaggle easily",
      "comment_count": 1,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 229052,
      "title": "Why are there only four test cases?",
      "comment_count": 5,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 235752,
      "title": "Problem with training labels",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 235516,
      "title": "can't see the datasets for the trees",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 235430,
      "title": "Curiosity: a dataset my model never detects..",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 235434,
      "title": "Author names and multiple datasets in one mention",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 235317,
      "title": "Bert, NER, SCI BERT, String-Matching",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 231893,
      "title": "Label Ambiguity Remains",
      "comment_count": 15,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 235026,
      "title": "Local CV is probably meaningless?",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 234258,
      "title": "How to train a masked language model?",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 234950,
      "title": "Is anyone willing to take a newbie to their team? I want to learn by doing.",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 235089,
      "title": "Entity linking to a knowledge base",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 234841,
      "title": "Other languages expected? - Spanish",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 234651,
      "title": "Risk of Abusing Multiple Predictions (pipe character)",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 233553,
      "title": "Some thoughts on setting up a proper cross-validation set",
      "comment_count": 4,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 231533,
      "title": "Submission CSV Not Found",
      "comment_count": 10,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 228501,
      "title": "Metric discussion",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 233824,
      "title": "I doubt LB scoring is correct. [Solved I'm wrong]",
      "comment_count": 4,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 233761,
      "title": "Memory Error",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 233721,
      "title": "section_title/text issues",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 231039,
      "title": "Sentence-level search for dataset titles. ",
      "comment_count": 6,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 232753,
      "title": "Any R scripts out there ?",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 233303,
      "title": "Submission Failing",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 233179,
      "title": "Domain of NLP",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 232540,
      "title": "Submission Scoring Error.",
      "comment_count": 11,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 228322,
      "title": "Train data problems",
      "comment_count": 41,
      "views": 0,
      "votes": 58,
      "reused": true
    },
    {
      "id": 228337,
      "title": "More train data issues",
      "comment_count": 30,
      "views": 0,
      "votes": 54,
      "reused": true
    },
    {
      "id": 232383,
      "title": "how to frame this problem into NER?? gradients becoming zero..",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 232916,
      "title": "Evaluation metric - \"adni\" vs \"alzheimer s disease neuroimaging initiative adni\"",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 230604,
      "title": "Query  regarding the targets to be predicted",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 230436,
      "title": "Labelling Question",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 231255,
      "title": "How do we define a \"data citation\"?",
      "comment_count": 1,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 232867,
      "title": "Fully Labeled Example",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 232847,
      "title": "Pre-trained Models for Natural Language Processing: A Survey",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 232784,
      "title": "is it possible to get the dict or list of words from where all the labels would form??? :)",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 230854,
      "title": "Predicting labels other those in the \"label set\"... is bad?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 230522,
      "title": "The imbalance of NER",
      "comment_count": 7,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 232351,
      "title": "Training Models Outside Kaggle",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 232029,
      "title": "External Data Sources",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 231946,
      "title": "public leaderboard score evaluation",
      "comment_count": 6,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 231850,
      "title": "Notebook Exceeded Allowed Compute",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 228995,
      "title": "Mismatching between cleaning of dataset_label and cleaned_label",
      "comment_count": 5,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 231977,
      "title": "Pipe Operator Problem for Jaccard Score",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 231978,
      "title": "Submission failure",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 230457,
      "title": "Computing precision when predictions match multiple ground-truths",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 231801,
      "title": "inference on private test data taking too much time?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 231048,
      "title": "Why am I getting 0 on my submission?",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 230908,
      "title": "Using keywords to search for dataset titles",
      "comment_count": 5,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 231465,
      "title": "how it will be handled when the correct label repeats couple of times?",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 230618,
      "title": "Clarification on compute time",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 229320,
      "title": "how to choose the correct label when there is a double version of the same cleaned labels exist",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 231163,
      "title": "Same dataset - but different names?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 228814,
      "title": "Jaccard Similarity Implementation Issue",
      "comment_count": 12,
      "views": 0,
      "votes": 35,
      "reused": true
    },
    {
      "id": 230965,
      "title": "Training Data Missing Data References?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 230952,
      "title": "Submission Scoring Error",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 228480,
      "title": "Death by word-clouds?",
      "comment_count": 5,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 228763,
      "title": "New public datasets in the real test set ? ",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 229239,
      "title": "Long text and OOM solution",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 229273,
      "title": "Can we use NER preprocessing for feature generation and then solve classification task??",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 230448,
      "title": "Another text matching notebook",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 230341,
      "title": "Data preparation for NER",
      "comment_count": 1,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 230308,
      "title": "About the input to the model",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 230275,
      "title": "Doubt on Test data size",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 229848,
      "title": "I don't know why my notebook shown \"Submission Scoring Error\".",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 230069,
      "title": "What's wrong with evaluation and public score?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 229441,
      "title": "Do you know something about context-based text generation?",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 229812,
      "title": "Leaderboard Reset: F1, F2, F0.5, Precision, Recall and Metric Selection  ",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 229734,
      "title": "About evaluation.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 229667,
      "title": "Evaluation process of this competition ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 229144,
      "title": "Problem with the extremely optimistic baseline",
      "comment_count": 8,
      "views": 0,
      "votes": 30,
      "reused": true
    },
    {
      "id": 229662,
      "title": "Combined dataset (train.csv + JSON files)",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 228941,
      "title": "Why \"Submission Scoring Error\" ? ",
      "comment_count": 8,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 229328,
      "title": "predict the only one with the highest probability or predict all of them for one test data",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 229238,
      "title": "Isn't it the case that each dataset_title MUST be found in the corresponding pub text? It seems it's not!",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 228961,
      "title": "How to deal with such a long text?",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 229240,
      "title": "Collection of the most interesting github repos on Question-Answering",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 229198,
      "title": "Question-Answering resources list",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 228637,
      "title": "about open notebooks which in leaderboard",
      "comment_count": 7,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 229195,
      "title": "Notes about points of view on the task of this competition",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 228282,
      "title": "Confirmation of Approach: Topic modelling",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 229003,
      "title": "Submission Issue",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 228982,
      "title": "Looking for a team to join",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 228910,
      "title": "Anyone wants to team up?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 228433,
      "title": "Is submission not working?",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 228503,
      "title": " Huggingface Question Answering",
      "comment_count": 1,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 228657,
      "title": "There are papers or publications they have more than one dataset.",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 228479,
      "title": "This problem is facing me, what is the solution?",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 228469,
      "title": "Research Notes from Previous Kaggle NLP Competitions ",
      "comment_count": 1,
      "views": 0,
      "votes": 26,
      "reused": true
    },
    {
      "id": 228347,
      "title": "Is there a data leak?",
      "comment_count": 18,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 228366,
      "title": "Jaccard Similarity",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 228455,
      "title": "Submissions have been disabled for this competition?",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 228386,
      "title": "What is happening??!! 🤣",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 228438,
      "title": "Metric recalculation in progress ...",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 228239,
      "title": "What Python libraries are we allowed to use?",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 228312,
      "title": "I guess this will replace the annual Jigsaw Competition for this year ? ^^",
      "comment_count": 3,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 228283,
      "title": "What type of visualizations if any are we expected to show?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 228273,
      "title": "Can we see the winning codes of the last nlp competition? :)",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 228324,
      "title": "External Data so early",
      "comment_count": 1,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 228227,
      "title": "A List Of Kaggle NLP Competitions & solutions",
      "comment_count": 2,
      "views": 0,
      "votes": 51,
      "reused": true
    },
    {
      "id": 228247,
      "title": "Some Materials Related to Key Phrase Extraction & NER",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    }
  ],
  "errors": []
}