{
  "id": 609170,
  "title": "What is ViewPosition LL?",
  "url": "/competitions/grand-xray-slam-division-a/discussion/609170",
  "author_name": "Sam Bui",
  "post_date": "2025-09-24T13:32:58.653000",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I just found in train1.csv that ViewPosition has a fourth unique value, LL. I thought it stood for Left Lateral and that Lateral only meant Right Lateral. But the data also contains some samples with {ViewCategory = Frontal, ViewPosition = LL}. So what exactly does LL mean?</p>",
  "messages": [
    {
      "id": 3293704,
      "postDate": "2025-09-24T13:32:58.653Z",
      "content": "<p>I just found in train1.csv that ViewPosition has a fourth unique value, LL. I thought it stood for Left Lateral and that Lateral only meant Right Lateral. But the data also contains some samples with {ViewCategory = Frontal, ViewPosition = LL}. So what exactly does LL mean?</p>",
      "rawMarkdown": "I just found in train1.csv that ViewPosition has a fourth unique value, LL. I thought it stood for Left Lateral and that Lateral only meant Right Lateral. But the data also contains some samples with {ViewCategory = Frontal, ViewPosition = LL}. So what exactly does LL mean?",
      "votes": 1
    },
    {
      "id": 3293725,
      "postDate": "2025-09-24T14:12:31.263Z",
      "content": "<p>You’re right <a href=\"https://www.kaggle.com/sambui22022517\" target=\"_blank\">@sambui22022517</a> , <strong>LL</strong> stands for <em>Left Lateral</em>. Looking at the dataset breakdown:</p>\n<table>\n<thead>\n<tr>\n<th>ViewCategory</th>\n<th>AP</th>\n<th>LL</th>\n<th>Lateral</th>\n<th>PA</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Frontal</td>\n<td>60660</td>\n<td>4</td>\n<td>0</td>\n<td>32887</td>\n</tr>\n<tr>\n<td>Lateral</td>\n<td>0</td>\n<td>1508</td>\n<td>12315</td>\n<td>0</td>\n</tr>\n</tbody>\n</table>\n<p>So we have <strong>1508 LL under Lateral</strong> (as expected), but also <strong>4 LL under Frontal</strong>, which looks like a small metadata issue.  </p>\n<p>Nice catch 👌, you can safely skip those 4 or handle them however you prefer in your pipeline.</p>",
      "rawMarkdown": "You’re right @sambui22022517 , **LL** stands for *Left Lateral*. Looking at the dataset breakdown:\n\n| ViewCategory | AP    | LL   | Lateral | PA    |\n|--------------|-------|------|---------|-------|\n| Frontal      | 60660 | 4    | 0       | 32887 |\n| Lateral      | 0     | 1508 | 12315   | 0     |\n\nSo we have **1508 LL under Lateral** (as expected), but also **4 LL under Frontal**, which looks like a small metadata issue.  \n\nNice catch 👌, you can safely skip those 4 or handle them however you prefer in your pipeline.\n"
    }
  ],
  "comments": [
    {
      "id": 3293725,
      "author_name": "Alpha",
      "author_url": "",
      "post_date": "2025-09-24T14:12:31.263000",
      "content": "<p>You’re right <a href=\"https://www.kaggle.com/sambui22022517\" target=\"_blank\">@sambui22022517</a> , <strong>LL</strong> stands for <em>Left Lateral</em>. Looking at the dataset breakdown:</p>\n<table>\n<thead>\n<tr>\n<th>ViewCategory</th>\n<th>AP</th>\n<th>LL</th>\n<th>Lateral</th>\n<th>PA</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Frontal</td>\n<td>60660</td>\n<td>4</td>\n<td>0</td>\n<td>32887</td>\n</tr>\n<tr>\n<td>Lateral</td>\n<td>0</td>\n<td>1508</td>\n<td>12315</td>\n<td>0</td>\n</tr>\n</tbody>\n</table>\n<p>So we have <strong>1508 LL under Lateral</strong> (as expected), but also <strong>4 LL under Frontal</strong>, which looks like a small metadata issue.  </p>\n<p>Nice catch 👌, you can safely skip those 4 or handle them however you prefer in your pipeline.</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3293704": "I just found in train1.csv that ViewPosition has a fourth unique value, LL. I thought it stood for Left Lateral and that Lateral only meant Right Lateral. But the data also contains some samples with {ViewCategory = Frontal, ViewPosition = LL}. So what exactly does LL mean?",
    "3293725": "You’re right @sambui22022517 , **LL** stands for *Left Lateral*. Looking at the dataset breakdown:\n\n| ViewCategory | AP    | LL   | Lateral | PA    |\n|--------------|-------|------|---------|-------|\n| Frontal      | 60660 | 4    | 0       | 32887 |\n| Lateral      | 0     | 1508 | 12315   | 0     |\n\nSo we have **1508 LL under Lateral** (as expected), but also **4 LL under Frontal**, which looks like a small metadata issue.  \n\nNice catch 👌, you can safely skip those 4 or handle them however you prefer in your pipeline.\n"
  }
}