{
  "total": 44,
  "topics": [
    {
      "id": 665483,
      "title": "Thanks for participating + upcoming winner selection",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 611797,
      "title": "Next year?",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 664044,
      "title": "I am unable to submitt my notebook because it says it didn't store any .csv file. But the file is saved yet it is not shown while submitting.",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 665412,
      "title": "[7th place solution] Mamba + GRU + KenLM (with code)",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 665582,
      "title": "data augmentation code",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 665269,
      "title": "Will Winning Methods Be Shared After the Competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 665515,
      "title": "Transformer-based Decoding with 1D-Upsampling ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 608965,
      "title": "Undo Z-Score",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 613205,
      "title": "Unable to download Brain-to-text '25 dataset using Kaggle API",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 638854,
      "title": "WFST training details",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 635197,
      "title": "Pretrain with the dataset of Brain-to-Text '24",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 625645,
      "title": "**🔍 Anyone else struggling with repetition + short outputs? Looking for ideas**",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 619318,
      "title": "About sampling frequency and duration of speech",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 614894,
      "title": "about hyphen-words",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 614125,
      "title": "Question about the language model, especially the nGram module.",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 614669,
      "title": "Question about Z-score",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 614169,
      "title": "About TTA (Test-Time Adaptation)",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 614302,
      "title": "Issue running ./setup_lm.sh",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 613722,
      "title": "Question about the predefined train/validation split and its difficulty",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 613515,
      "title": "sentence to phoneme",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 612853,
      "title": "About different Apostrophe",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 612159,
      "title": "where do you guys run the n-gram model and LLM?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 610005,
      "title": "Corpus-dependent decoder?",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 611380,
      "title": "Data sentence corpus clarification",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 600365,
      "title": "Cannot share notebooks",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 609284,
      "title": "What are the seq_class_ids, transcriptions, and seq_len attributes referring to?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 607934,
      "title": "Error 403: Wget Dryad files",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 607579,
      "title": "Past Competition References",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 607329,
      "title": "Goal of competition",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 604312,
      "title": "confusion with data read. there are 2554 records of which 1734 unique",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 603760,
      "title": "Brain-to-text '25 ",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 603603,
      "title": "Feature Extraction Step",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 600582,
      "title": "Why 512 Features for 256 Electrodes?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 599594,
      "title": "Code tab for this competition",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 600326,
      "title": "Cannot add competition data or see starter notebooks",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 599555,
      "title": "vocalized or silent",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 596460,
      "title": "Neural Data Preprocessing",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 596283,
      "title": "Question about the dataset columns",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 590644,
      "title": "Is this data trainable in the kaggle notebook? Or should I use other resources?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 589934,
      "title": "Some EDA on the Competition Data",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 589723,
      "title": "Dataset availability on kaggle ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 589515,
      "title": "How to match Corpus to Trials?",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 589508,
      "title": "t15_copyTask_neuralData vs t15_copyTask",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 588882,
      "title": "Dataset availability",
      "comment_count": 5,
      "views": 0,
      "votes": null
    }
  ],
  "errors": []
}