{
  "id": 396895,
  "title": "📊 Interactive visualization of annotations",
  "url": "/competitions/benetech-making-graphs-accessible/discussion/396895",
  "author_name": "",
  "post_date": "2023-03-23T08:54:50.388216300Z",
  "votes": 20,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I made a <a href=\"https://www.kaggle.com/code/leonidkulyk/eda-mga-plot-charts-interactive-anns\" target=\"_blank\">notebook</a> in which I provided EDA for the competition's data and created interactive visualization of annotations.</p>\n<p>Short description:</p>\n<ul>\n<li><p>The goal of the competition is to develop an automatic solution that can extract data represented by four types of charts commonly found in STEM textbooks. This will help make reading graphs accessible to millions of students with learning differences or disabilities.</p></li>\n<li><p>The current process of making educational materials accessible is expensive, time-consuming, and often not available to schools or teachers without the funding to license them.</p></li>\n<li><p>The best submissions will be adopted into Benetech's PageAI product, which converts books and other educational materials into accessible formats.</p></li>\n</ul>\n<hr>\n<p>Here is an example visualization of an image annotations (in the  <a href=\"https://www.kaggle.com/code/leonidkulyk/eda-mga-plot-charts-interactive-anns\" target=\"_blank\">notebook</a> you will find more examples for each chart type):</p>\n<p><img src=\"https://user-images.githubusercontent.com/45982614/227150587-d3e5eda2-c9fb-44fa-9bbd-7107a100858e.png\" alt=\"\"></p>",
  "messages": [
    {
      "id": "2193386",
      "postDate": "03/23/2023 08:54:50",
      "content": "<p>I made a <a href=\"https://www.kaggle.com/code/leonidkulyk/eda-mga-plot-charts-interactive-anns\" target=\"_blank\">notebook</a> in which I provided EDA for the competition's data and created interactive visualization of annotations.</p>\n<p>Short description:</p>\n<ul>\n<li><p>The goal of the competition is to develop an automatic solution that can extract data represented by four types of charts commonly found in STEM textbooks. This will help make reading graphs accessible to millions of students with learning differences or disabilities.</p></li>\n<li><p>The current process of making educational materials accessible is expensive, time-consuming, and often not available to schools or teachers without the funding to license them.</p></li>\n<li><p>The best submissions will be adopted into Benetech's PageAI product, which converts books and other educational materials into accessible formats.</p></li>\n</ul>\n<hr>\n<p>Here is an example visualization of an image annotations (in the  <a href=\"https://www.kaggle.com/code/leonidkulyk/eda-mga-plot-charts-interactive-anns\" target=\"_blank\">notebook</a> you will find more examples for each chart type):</p>\n<p><img src=\"https://user-images.githubusercontent.com/45982614/227150587-d3e5eda2-c9fb-44fa-9bbd-7107a100858e.png\" alt=\"\"></p>",
      "rawMarkdown": "I made a [notebook](https://www.kaggle.com/code/leonidkulyk/eda-mga-plot-charts-interactive-anns) in which I provided EDA for the competition's data and created interactive visualization of annotations.\n\nShort description:\n* The goal of the competition is to develop an automatic solution that can extract data represented by four types of charts commonly found in STEM textbooks. This will help make reading graphs accessible to millions of students with learning differences or disabilities.\n\n* The current process of making educational materials accessible is expensive, time-consuming, and often not available to schools or teachers without the funding to license them.\n\n* The best submissions will be adopted into Benetech's PageAI product, which converts books and other educational materials into accessible formats.\n\n***\n\nHere is an example visualization of an image annotations (in the  [notebook](https://www.kaggle.com/code/leonidkulyk/eda-mga-plot-charts-interactive-anns) you will find more examples for each chart type):\n\n![](https://user-images.githubusercontent.com/45982614/227150587-d3e5eda2-c9fb-44fa-9bbd-7107a100858e.png)",
      "votes": null
    },
    {
      "id": "2193394",
      "postDate": "03/23/2023 09:02:01",
      "content": "<p>Thank's for sharing </p>",
      "rawMarkdown": "Thank's for sharing",
      "votes": null
    },
    {
      "id": "2200229",
      "postDate": "03/28/2023 11:49:06",
      "content": "<p>Thanks for sharing! It was very helpful.</p>",
      "rawMarkdown": "Thanks for sharing! It was very helpful.",
      "votes": null
    },
    {
      "id": "2200903",
      "postDate": "03/28/2023 22:22:00",
      "content": "<p>Thanks for the comment!<br>\nI'm glad my notebook helped you sort things out! 🙃</p>",
      "rawMarkdown": "Thanks for the comment!\nI'm glad my notebook helped you sort things out! 🙃",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2193394,
      "author_name": "smnuruzzaman",
      "author_url": "",
      "post_date": "03/23/2023 09:02:01",
      "content": "<p>Thank's for sharing </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2200229,
      "author_name": "akbotamath",
      "author_url": "",
      "post_date": "03/28/2023 11:49:06",
      "content": "<p>Thanks for sharing! It was very helpful.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2200903,
          "author_name": "leonidkulyk",
          "author_url": "",
          "post_date": "03/28/2023 22:22:00",
          "content": "<p>Thanks for the comment!<br>\nI'm glad my notebook helped you sort things out! 🙃</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2193386": "I made a [notebook](https://www.kaggle.com/code/leonidkulyk/eda-mga-plot-charts-interactive-anns) in which I provided EDA for the competition's data and created interactive visualization of annotations.\n\nShort description:\n* The goal of the competition is to develop an automatic solution that can extract data represented by four types of charts commonly found in STEM textbooks. This will help make reading graphs accessible to millions of students with learning differences or disabilities.\n\n* The current process of making educational materials accessible is expensive, time-consuming, and often not available to schools or teachers without the funding to license them.\n\n* The best submissions will be adopted into Benetech's PageAI product, which converts books and other educational materials into accessible formats.\n\n***\n\nHere is an example visualization of an image annotations (in the  [notebook](https://www.kaggle.com/code/leonidkulyk/eda-mga-plot-charts-interactive-anns) you will find more examples for each chart type):\n\n![](https://user-images.githubusercontent.com/45982614/227150587-d3e5eda2-c9fb-44fa-9bbd-7107a100858e.png)",
    "2193394": "Thank's for sharing",
    "2200229": "Thanks for sharing! It was very helpful.",
    "2200903": "Thanks for the comment!\nI'm glad my notebook helped you sort things out! 🙃"
  },
  "source": "meta"
}