{
  "id": 487511,
  "title": "Question about the metric implementation",
  "url": "/competitions/image-matching-challenge-2024/discussion/487511",
  "author_name": "",
  "post_date": "2024-03-29T10:02:53.860771200Z",
  "votes": 1,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I had a question about the <a href=\"https://www.kaggle.com/code/fabiobellavia/imc2024-3d-metric-evaluation-example\" target=\"_blank\">metric evaluation code</a> provided by the organizers. I saw that <code>score</code> sorts the dataframes by <code>\"image_name\"</code>, which is not provided as one of the columns to submit in the competition overview. Just so there is no confusion and the expected format is the same as for the official scoring, is this the same column as <code>\"image_path\"</code>?</p>",
  "messages": [
    {
      "id": "2721941",
      "postDate": "03/29/2024 10:02:53",
      "content": "<p>I had a question about the <a href=\"https://www.kaggle.com/code/fabiobellavia/imc2024-3d-metric-evaluation-example\" target=\"_blank\">metric evaluation code</a> provided by the organizers. I saw that <code>score</code> sorts the dataframes by <code>\"image_name\"</code>, which is not provided as one of the columns to submit in the competition overview. Just so there is no confusion and the expected format is the same as for the official scoring, is this the same column as <code>\"image_path\"</code>?</p>",
      "rawMarkdown": "I had a question about the [metric evaluation code](https://www.kaggle.com/code/fabiobellavia/imc2024-3d-metric-evaluation-example) provided by the organizers. I saw that `score` sorts the dataframes by `\"image_name\"`, which is not provided as one of the columns to submit in the competition overview. Just so there is no confusion and the expected format is the same as for the official scoring, is this the same column as `\"image_path\"`?",
      "votes": null
    },
    {
      "id": "2722076",
      "postDate": "03/29/2024 11:38:14",
      "content": "<p>Yes, this is due since I've used \"train_label.csv\" instead of \"sample submission.csv\" for the running example. I'm going to improve/fix the code description and comments for a better understanding! Thanks!</p>",
      "rawMarkdown": "Yes, this is due since I've used \"train_label.csv\" instead of \"sample submission.csv\" for the running example. I'm going to improve/fix the code description and comments for a better understanding! Thanks!",
      "votes": null
    },
    {
      "id": "2722090",
      "postDate": "03/29/2024 11:46:00",
      "content": "<p>Thanks for the quick clarification!</p>",
      "rawMarkdown": "Thanks for the quick clarification!",
      "votes": null
    },
    {
      "id": "2722375",
      "postDate": "03/29/2024 14:55:57",
      "content": "<p>Code is now updated!</p>",
      "rawMarkdown": "Code is now updated!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2722076,
      "author_name": "fabiobellavia",
      "author_url": "",
      "post_date": "03/29/2024 11:38:14",
      "content": "<p>Yes, this is due since I've used \"train_label.csv\" instead of \"sample submission.csv\" for the running example. I'm going to improve/fix the code description and comments for a better understanding! Thanks!</p>",
      "votes": null,
      "replies": [
        {
          "id": 2722090,
          "author_name": "asarvazyan",
          "author_url": "",
          "post_date": "03/29/2024 11:46:00",
          "content": "<p>Thanks for the quick clarification!</p>",
          "votes": null,
          "replies": [
            {
              "id": 2722375,
              "author_name": "fabiobellavia",
              "author_url": "",
              "post_date": "03/29/2024 14:55:57",
              "content": "<p>Code is now updated!</p>",
              "votes": null,
              "replies": []
            }
          ]
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2721941": "I had a question about the [metric evaluation code](https://www.kaggle.com/code/fabiobellavia/imc2024-3d-metric-evaluation-example) provided by the organizers. I saw that `score` sorts the dataframes by `\"image_name\"`, which is not provided as one of the columns to submit in the competition overview. Just so there is no confusion and the expected format is the same as for the official scoring, is this the same column as `\"image_path\"`?",
    "2722076": "Yes, this is due since I've used \"train_label.csv\" instead of \"sample submission.csv\" for the running example. I'm going to improve/fix the code description and comments for a better understanding! Thanks!",
    "2722090": "Thanks for the quick clarification!",
    "2722375": "Code is now updated!"
  },
  "source": "meta"
}