{
  "total": 178,
  "topics": [
    {
      "id": 395072,
      "title": "Requesting Feedback on the Learning Equality - Curriculum Recommendations Competition! ",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 395082,
      "title": "Thanks for participating!",
      "comment_count": 10,
      "views": 0,
      "votes": 23
    },
    {
      "id": 372362,
      "title": "Welcome to the competition, from your friendly hosts!",
      "comment_count": 59,
      "views": 0,
      "votes": 52
    },
    {
      "id": 372612,
      "title": "Notebook with tips and recommendations from your hosts [Q&A]",
      "comment_count": 14,
      "views": 0,
      "votes": 39
    },
    {
      "id": 372384,
      "title": "Solution by ChatGPT: Transformer based ranking model",
      "comment_count": 19,
      "views": 0,
      "votes": 52
    },
    {
      "id": 394812,
      "title": "1st Place Solution",
      "comment_count": 84,
      "views": 0,
      "votes": 209
    },
    {
      "id": 413231,
      "title": "explanation of working of 1st solution notebook in short",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 400220,
      "title": "Need notebook or solution from winner of this competition ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 394946,
      "title": "7th Place Solution",
      "comment_count": 3,
      "views": 0,
      "votes": 20
    },
    {
      "id": 394838,
      "title": "3rd solution",
      "comment_count": 41,
      "views": 0,
      "votes": 59
    },
    {
      "id": 395110,
      "title": "2nd Place Solution",
      "comment_count": 19,
      "views": 0,
      "votes": 79
    },
    {
      "id": 394813,
      "title": "6th place solution",
      "comment_count": 20,
      "views": 0,
      "votes": 47
    },
    {
      "id": 394886,
      "title": "12th place solution",
      "comment_count": 18,
      "views": 0,
      "votes": 44
    },
    {
      "id": 395263,
      "title": "9th Place Solution",
      "comment_count": 5,
      "views": 0,
      "votes": 21
    },
    {
      "id": 394984,
      "title": "4th place solution",
      "comment_count": 16,
      "views": 0,
      "votes": 46
    },
    {
      "id": 394827,
      "title": "5th place solution",
      "comment_count": 8,
      "views": 0,
      "votes": 41
    },
    {
      "id": 395190,
      "title": "10th place Solution",
      "comment_count": 6,
      "views": 0,
      "votes": 22
    },
    {
      "id": 394915,
      "title": "[15th Place] A way to make hard training easier: Combination of arc loss and multiple ranking loss.",
      "comment_count": 4,
      "views": 0,
      "votes": 19
    },
    {
      "id": 394807,
      "title": "31st Place Solution",
      "comment_count": 7,
      "views": 0,
      "votes": 38
    },
    {
      "id": 395018,
      "title": "32th place solution",
      "comment_count": 2,
      "views": 0,
      "votes": 21
    },
    {
      "id": 395401,
      "title": "Opensource stage1 single model with PB739(train on all data with 800 epochs, more epochs is all you need)",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 394805,
      "title": "A personal World Cup moment",
      "comment_count": 9,
      "views": 0,
      "votes": 22
    },
    {
      "id": 395478,
      "title": "25th (8th efficiency) Place Solution without ensembling  ",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 395164,
      "title": " Congratulations to new Kaggle Competition GM!",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 395156,
      "title": "Meme                    ",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 394819,
      "title": "73rd place solution",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 394910,
      "title": "18th place Solution -Thank You !",
      "comment_count": 0,
      "views": 0,
      "votes": 15
    },
    {
      "id": 394825,
      "title": "26th short solution（Listwise stage2 model to transform stage1 scores)",
      "comment_count": 0,
      "views": 0,
      "votes": 16
    },
    {
      "id": 394896,
      "title": "39th place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 394955,
      "title": "28th place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 395029,
      "title": "Reranking as QA",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 394811,
      "title": "24th place solution",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 394857,
      "title": "60th place solution",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 394840,
      "title": "An extremely suspicious account",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 392679,
      "title": "Don't Forget About the Efficiency Prize!",
      "comment_count": 13,
      "views": 0,
      "votes": 8
    },
    {
      "id": 394526,
      "title": "Relations between F2 score and runtime for efficiency score",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 394749,
      "title": "Does content.csv add items in the private test set?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 395065,
      "title": "End-to-end approach",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 394890,
      "title": "Late submission notebook running too long",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 394816,
      "title": "Re: Late Submissions",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 394487,
      "title": "Efficiency rules and updates for Efficiency board?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 394347,
      "title": "Encountering exception while traversing parent node during Notebook submission",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 392642,
      "title": " Has anyone tried to use the GNN methods to get the context embedding of the topic?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 388215,
      "title": "Reverse Engineering the Top Pipeline",
      "comment_count": 8,
      "views": 0,
      "votes": 53
    },
    {
      "id": 393492,
      "title": "Got 3 time in a row Submission Scoring Error",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 393215,
      "title": "How to prevent connection errors when Huggingface Bert models are used. ",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 393204,
      "title": "A very noob question: kinda confused about cross validation",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 392041,
      "title": "Training 2nd stage Reranker",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 389591,
      "title": "How to generate hard negatives for Stage 1?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 391154,
      "title": "Better way to search nearst neighbors",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 392911,
      "title": "What is the difference between correlations.csv and sample_submission.csv",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 393202,
      "title": "Should I use the same model as stage1(retrieve stage) in Stage2(reranking stage)?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 392646,
      "title": "My submission are all failed. ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 392180,
      "title": "Notebook Threw Exception",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 391611,
      "title": "Big difference between source and non source?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 391278,
      "title": "better stage1, worse stage2",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 391415,
      "title": "Do we know why retrievers are bad at certain languages? ",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 381509,
      "title": "Stage 1 / Stage 2 CV vs LB",
      "comment_count": 155,
      "views": 0,
      "votes": 74
    },
    {
      "id": 391372,
      "title": "lb 0.432 in 13 minutes gpu inference",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 391162,
      "title": "Request for help - notebook execution timeout during scoring",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 390835,
      "title": "Saving models that have been downloaded from the internet",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 389966,
      "title": "Anyone experienced GBDT Classifier/Ranker for Stage 2?",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 391374,
      "title": "A question about code competition, as hidden test data,how do I know the table structure of the test dataset?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 386117,
      "title": "Notebook Out of memory issue",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 390746,
      "title": "Inference Notebook of Nicho's Multiple Negatives Ranking Loss",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 388932,
      "title": "GPU kernel can't find cuML and cuDF",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 391787,
      "title": "Managing memory in a simple unsupervised approach",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 391766,
      "title": "Hold out or K-fold?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 390937,
      "title": "How to reduce my memory usage?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 386287,
      "title": "cudf  pip install error  on Google Colab.",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 389831,
      "title": "How to determine threshold value",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 383656,
      "title": "Some questions about stage 1:recall",
      "comment_count": 18,
      "views": 0,
      "votes": 9
    },
    {
      "id": 388533,
      "title": "Detailed summary and tips of general top score approaches",
      "comment_count": 3,
      "views": 0,
      "votes": 36
    },
    {
      "id": 389582,
      "title": "Success with Gradient Accumulation?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 386742,
      "title": "Newbie needing help",
      "comment_count": 14,
      "views": 0,
      "votes": 4
    },
    {
      "id": 384593,
      "title": "How to train our fine tuning model for better generating candidates?(Updated)",
      "comment_count": 15,
      "views": 0,
      "votes": 9
    },
    {
      "id": 388843,
      "title": "Mapping of contents and topics",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 384200,
      "title": "CV split - Channel vs Topic id-Will there be shake up",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 383669,
      "title": "What experiment management tools do you use ?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 383969,
      "title": "Multiple Negatives Ranking Loss (MNRL) - with results",
      "comment_count": 3,
      "views": 0,
      "votes": 50
    },
    {
      "id": 388372,
      "title": "Correlations csv in test set?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 386815,
      "title": "Training across multiple sessions",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 373832,
      "title": "Text Cleaning Methods",
      "comment_count": 13,
      "views": 0,
      "votes": 44
    },
    {
      "id": 384896,
      "title": "Polars fails to read csv files correctly?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 388331,
      "title": "TypeError: `generator` yielded an element of shape (1,) where an element of shape (None, None) was expected.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 383881,
      "title": "F2 Score with Polars",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 388089,
      "title": "How to map content_ids to topic_id in Pandas?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 386454,
      "title": "What's the point in topic tree?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 387880,
      "title": "How do we use the correlations.csv?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 386243,
      "title": "Filtering on channel column in topics does not work in pandas",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 383825,
      "title": "F2 score Heatmap",
      "comment_count": 5,
      "views": 0,
      "votes": 12
    },
    {
      "id": 372355,
      "title": "Looking for a Team Megathread",
      "comment_count": 66,
      "views": 0,
      "votes": 8
    },
    {
      "id": 384994,
      "title": "Some questions about this competition",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 383202,
      "title": "Noob question: Is it correct to be generating the submission.csv from sample_submission.csv?",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 376873,
      "title": "Topic Context Matters in Supervised Pipeline",
      "comment_count": 77,
      "views": 0,
      "votes": 81
    },
    {
      "id": 384604,
      "title": "Need help! ! ! Loss can't decrease when using cosine distance to compute the similarity.",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 384043,
      "title": "cosine distance metric",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 383182,
      "title": "how to pip install cuml",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 382078,
      "title": "What do we know about the datasets?",
      "comment_count": 1,
      "views": 0,
      "votes": 15
    },
    {
      "id": 382461,
      "title": "Sharing My Understanding of this Competition",
      "comment_count": 3,
      "views": 0,
      "votes": 20
    },
    {
      "id": 382414,
      "title": "Don’t share your solution to suspicious persons! (LECR)",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 382255,
      "title": "Am I missing something?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 382159,
      "title": "Initial Analysis and Queries",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 378346,
      "title": "Use of external data allowed?",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 381772,
      "title": "Is there disadvantage on predicting uncorrect labels? & Is order important?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 377633,
      "title": "Wouldn't 3 final submissions be better than 2 final submissions? ",
      "comment_count": 8,
      "views": 0,
      "votes": 27
    },
    {
      "id": 372459,
      "title": "Thoughts about CV Setup",
      "comment_count": 12,
      "views": 0,
      "votes": 31
    },
    {
      "id": 380164,
      "title": "Are we all badly overfitting",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 380829,
      "title": "Running python scripts from custom repo on Kaggle kernel, Module not found error",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 379555,
      "title": "When should I fine-tune sentence transformer?",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 380447,
      "title": "how much text for training the supervised model?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 379670,
      "title": "Google's Deep Learning Tuning Playbook",
      "comment_count": 1,
      "views": 0,
      "votes": 19
    },
    {
      "id": 373350,
      "title": "Same title exists between content and topic",
      "comment_count": 2,
      "views": 0,
      "votes": 30
    },
    {
      "id": 375313,
      "title": "Sharing my baseline CV LB 0.30+",
      "comment_count": 11,
      "views": 0,
      "votes": 66
    },
    {
      "id": 380559,
      "title": "There are some topics where topic and content shere the same name. Isnt it is a misleading info? ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 378946,
      "title": "Understanding the problem",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 379143,
      "title": "M2M Translation Experiment",
      "comment_count": 9,
      "views": 0,
      "votes": 9
    },
    {
      "id": 372386,
      "title": "Evaluated on F2 score Python [code]",
      "comment_count": 9,
      "views": 0,
      "votes": 16
    },
    {
      "id": 379176,
      "title": "What is the best CV setup?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 374826,
      "title": "Create the new data from Competition Data",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 379489,
      "title": "Beginning Approaches to the Problem",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 373443,
      "title": "Can someone better explain Category?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 373640,
      "title": "How did I get LB 0.30+",
      "comment_count": 34,
      "views": 0,
      "votes": 129
    },
    {
      "id": 377951,
      "title": "Number of Scored Submissions is Now Three",
      "comment_count": 4,
      "views": 0,
      "votes": 29
    },
    {
      "id": 379333,
      "title": "Are all topic_id in test data (sub_data for score calculation) included in the given topics_data?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 377586,
      "title": "Brief help",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 376183,
      "title": "Training large model with limited memory",
      "comment_count": 1,
      "views": 0,
      "votes": 17
    },
    {
      "id": 377646,
      "title": "Are top scorers Resource rich ?",
      "comment_count": 19,
      "views": 0,
      "votes": 9
    },
    {
      "id": 372428,
      "title": "Multilingual Language Models",
      "comment_count": 5,
      "views": 0,
      "votes": 32
    },
    {
      "id": 376864,
      "title": "Become One with Data (Semantic EDA)",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 377931,
      "title": "monolingual  models vs Multilingual models",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 376651,
      "title": "My first 100 experiments (sentence transformers)",
      "comment_count": 2,
      "views": 0,
      "votes": 38
    },
    {
      "id": 372354,
      "title": "New to Kaggle or Machine Learning? Check this out ~",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 377381,
      "title": "Question about test set channels",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 377553,
      "title": "Question Feature Importance of NLP models or how to open Black Box?",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 373958,
      "title": "10 Days In. What do we know so far?",
      "comment_count": 10,
      "views": 0,
      "votes": 88
    },
    {
      "id": 377645,
      "title": "CV LB Thread ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 375346,
      "title": " Question about Submission and Prediction",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 376811,
      "title": "What is significance of \"channel\" column in topics.csv file",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 376621,
      "title": "Recommendation system competition or NLP?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 375947,
      "title": "How to use columns other than title?",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 372875,
      "title": "CV Score vs Public Score",
      "comment_count": 2,
      "views": 0,
      "votes": 30
    },
    {
      "id": 375299,
      "title": "How does the efficiency LB work?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 376391,
      "title": "Locking for Team",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 376593,
      "title": "Why can't I load a RAPIDS AI trained model pickle in a notebook?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 375394,
      "title": "Question about number of submission that will count towards final LB score",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 374870,
      "title": "non-english sentence",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 375630,
      "title": "target column",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 374621,
      "title": "same title contents don't necessarily relate to the same topic",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 374486,
      "title": "Mean F2  metric in Keras",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 374080,
      "title": "Test data Language ",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 372782,
      "title": "The Best NLP Resources on Kaggle",
      "comment_count": 4,
      "views": 0,
      "votes": 24
    },
    {
      "id": 372892,
      "title": "What is Adversarial Training?",
      "comment_count": 2,
      "views": 0,
      "votes": 43
    },
    {
      "id": 373791,
      "title": "📌 Pairwise Distances Memory Error Solution 🧐",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 373693,
      "title": "Is the test set composed only of new channels?",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 374079,
      "title": "Category wise distribution",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 373544,
      "title": "Quick Trick For Saving GPU on Inference Notebook",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 373532,
      "title": "Not Every Notebook is equally worth. Think critically before clicking anything in a Learning Competition.",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 372416,
      "title": "Equality. Different Languages. Different Coding \"Worlds\" as One at the same Place.",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 373627,
      "title": "What are the labels of our training data?  ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 373242,
      "title": "Understanding the Metric : F2 score",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 373173,
      "title": "How to compute cv for empty targets",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 372972,
      "title": "Winners Tricks from all Feedback Competitions",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 372360,
      "title": "Previous Feedback Winning Solution Walkthroughs",
      "comment_count": 10,
      "views": 0,
      "votes": 28
    },
    {
      "id": 372763,
      "title": "Can we know which columns appear in the testing set?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 372460,
      "title": "Learning From Last Three Feedback Competition",
      "comment_count": 0,
      "views": 0,
      "votes": 29
    },
    {
      "id": 372846,
      "title": "📌 License Definitions and Limitations 📝",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 372451,
      "title": "Simple Unsupervised Baseline",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 372364,
      "title": "Top Solutions from previous Feedback Learning Challanges",
      "comment_count": 0,
      "views": 0,
      "votes": 17
    },
    {
      "id": 372701,
      "title": "\"Internet access disabled. Freely & publicly available external data is allowed, including pre-trained models\"",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 372425,
      "title": "Where is the \"example test data\"?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 372645,
      "title": "[Efficiency Track] Setfit by Hugging Face 🤗",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 372358,
      "title": "Feedback competitions hosts are back!!!",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 372649,
      "title": "📌 Advanced Spacy Features 📚",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 372614,
      "title": "Problem Statement",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 372495,
      "title": "Grandmaster Series From NVidia Grandmaster(NLP Task)",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 372549,
      "title": "similarities in a different language",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 372586,
      "title": "How to train Multi language data?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}