{
  "id": 572434,
  "title": "Huggingface + Kaggle OpenFWI Dataset 670G available + Training",
  "url": "/competitions/waveform-inversion/discussion/572434",
  "author_name": "SeshuRaju 🧘‍♂️",
  "post_date": "2025-04-09T14:08:19.694000",
  "votes": 53,
  "comment_count": 26,
  "views": 0,
  "content": "<p></p>\n<blockquote>\n  <p>is possible OpenFWI datasets available on Kaggle or Huggingface?  as downloading from google driver large files not working well with command line tools - any suggestion? <a href=\"https://www.kaggle.com/hanchenwang114\" target=\"_blank\">@hanchenwang114</a></p>\n</blockquote>\n<hr>\n<h1><a href=\"https://www.kaggle.com/code/seshurajup/openfwi-train-inversionnet/notebook?scriptVersionId=233524074\" target=\"_blank\">OpenFWI InversionNet [Train] with 670G Kaggle Datasets</a></h1>\n<blockquote>\n  <p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F621626b7af7f331b422da7baf2f7d104%2F1.png?generation=1744487669778191&amp;alt=media\" alt=\"\"></p>\n  <ul>\n  <li>InversionNet training with mixed datasets</li>\n  <li>Training part 1 with 20% of 500 samples - training on Kaggle notebook ~ 17mins ( major bottleneck cpu then gpu )</li>\n  <li>Source from <a href=\"https://colab.research.google.com/drive/17s5JmVs9ABl8MpmFlhWMSslj9_d5Atfx?usp=sharing#scrollTo=CF8qxejVgrla\" target=\"_blank\">OpenFWI-Tutorial.ipynb</a></li>\n  </ul>\n</blockquote>\n<p>-</p>\n<h1><a href=\"https://www.kaggle.com/code/seshurajup/openfwi-hgnet-train-with-670g\" target=\"_blank\">OpenFWI HgNet [Train] with 670G Kaggle Datasets</a> - 1 Epoch 1 Hour on GPU T4 x2</h1>\n<blockquote>\n  <p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F29abb6c11501446345a147792e4a8f73%2FScreenshot%202025-04-14%20at%201.50.06PM.png?generation=1744618887612399&amp;alt=media\" alt=\"\"></p>\n  <ul>\n  <li>HgNet training with mixed dataset</li>\n  <li>Using GPU T4 x2</li>\n  <li>average of l2 + l1 loss</li>\n  <li><strong>Each epoch took 1 hour on Kaggle GPU T4 x2 using HgNet with 670G training and 1st files as CV</strong></li>\n  <li>Soruce from <a href=\"https://www.kaggle.com/code/i2nfinit3y/hgnet-training-inference\" target=\"_blank\">HgNet-Training &amp; Inference</a></li>\n  </ul>\n</blockquote>\n<hr>\n<h1><a href=\"https://huggingface.co/datasets/ashynf/OpenFWI\" target=\"_blank\">Huggingface 670G Dataset</a> - Host added</h1>\n<hr>\n<h1><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-metadata\" target=\"_blank\">Kaggle OpenFWI Datasets Metadata of all datasets</a></h1>\n<hr>\n<h1>Kaggle OpenFWI Datasets - Upvote if it useful (670G)</h1>\n<blockquote>\n  <p><strong>Train, Val splits follow same distribution as OpenFWI distribution</strong><br>\n  <strong>To clarify, the test set used in this competition follows the similar distribution as the original OpenFWI dataset. It was generated using the same simulation code and hyperparameters as the training data. -  <a href=\"https://www.kaggle.com/competitions/waveform-inversion/discussion/572334#3175071\" target=\"_blank\">Author conformed about distribution</a></strong></p>\n</blockquote>\n<table>\n<thead>\n<tr>\n<th>Name/Link</th>\n<th>Train Val Extra</th>\n<th>FlatVel_A Data/Model</th>\n<th>FlatVel_B Data/Model</th>\n<th>FlatFault_A Data/Model</th>\n<th>FlatFault_B Data/Model</th>\n<th>CurveVel_A Data/Model</th>\n<th>CurveVel_B Data/Model</th>\n<th>CurveFault_A Data/Model</th>\n<th>CurveFault_B Data/Model</th>\n<th>Style_A Data/Model</th>\n<th>Style_B Data/Model</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-1\" target=\"_blank\">Waveform Inversion 1</a></td>\n<td>Train-Data</td>\n<td>data1 - data2</td>\n<td>data1 - data2</td>\n<td>seis2_1_0 - seis2_1_3</td>\n<td>seis6_1_0 - seis6_1_3</td>\n<td>data1 - data2</td>\n<td>data1 - data2</td>\n<td>seis2_1_0 - seis2_1_3</td>\n<td>seis6_1_0 - seis6_1_3</td>\n<td>data1 - data5</td>\n<td>data1 - data5</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model1 - model2</td>\n<td>model1 - model2</td>\n<td>vel2_1_0 - vel2_1_3</td>\n<td>vel6_1_0 - vel6_1_3</td>\n<td>model1 - model2</td>\n<td>model1 - model2</td>\n<td>vel2_1_0 - vel2_1_3</td>\n<td>vel6_1_0 - vel6_1_3</td>\n<td>model1 - model5</td>\n<td>model1 - model5</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-2\" target=\"_blank\">Waveform Inversion 2</a></td>\n<td>Train-Data</td>\n<td>data3 - data4</td>\n<td>data3 - data4</td>\n<td>seis2_1_4 - seis2_1_7</td>\n<td>seis6_1_4 - seis6_1_7</td>\n<td>data3 - data4</td>\n<td>data3 - data4</td>\n<td>seis2_1_4 - seis2_1_7</td>\n<td>seis6_1_4 - seis6_1_7</td>\n<td>data10 - data9</td>\n<td>data10 - data9</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model3 - model4</td>\n<td>model3 - model4</td>\n<td>vel2_1_4 - vel2_1_7</td>\n<td>vel6_1_4 - vel6_1_7</td>\n<td>model3 - model4</td>\n<td>model3 - model4</td>\n<td>vel2_1_4 - vel2_1_7</td>\n<td>vel6_1_4 - vel6_1_7</td>\n<td>model10 - model9</td>\n<td>model10 - model9</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-3\" target=\"_blank\">Waveform Inversion 3</a></td>\n<td>Train-Data</td>\n<td>data5 - data6</td>\n<td>data5 - data6</td>\n<td>seis2_1_10 - seis2_1_9</td>\n<td>seis6_1_10 - seis6_1_9</td>\n<td>data5 - data6</td>\n<td>data5 - data6</td>\n<td>seis2_1_10 - seis2_1_9</td>\n<td>seis6_1_10 - seis6_1_9</td>\n<td>data11 - data15</td>\n<td>data11 - data15</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model5 - model6</td>\n<td>model5 - model6</td>\n<td>vel2_1_10 - vel2_1_9</td>\n<td>vel6_1_10 - vel6_1_9</td>\n<td>model5 - model6</td>\n<td>model5 - model6</td>\n<td>vel2_1_10 - vel2_1_9</td>\n<td>vel6_1_10 - vel6_1_9</td>\n<td>model11 - model15</td>\n<td>model11 - model15</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-4\" target=\"_blank\">Waveform Inversion 4</a></td>\n<td>Train-Data</td>\n<td>data7 - data8</td>\n<td>data7 - data8</td>\n<td>seis2_1_12 - seis2_1_15</td>\n<td>seis6_1_12 - seis6_1_15</td>\n<td>data7 - data8</td>\n<td>data7 - data8</td>\n<td>seis2_1_12 - seis2_1_15</td>\n<td>seis6_1_12 - seis6_1_15</td>\n<td>data16 - data20</td>\n<td>data16 - data20</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model7 - model8</td>\n<td>model7 - model8</td>\n<td>vel2_1_12 - vel2_1_15</td>\n<td>vel6_1_12 - vel6_1_15</td>\n<td>model7 - model8</td>\n<td>model7 - model8</td>\n<td>vel2_1_12 - vel2_1_15</td>\n<td>vel6_1_12 - vel6_1_15</td>\n<td>model16 - model20</td>\n<td>model16 - model20</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-5\" target=\"_blank\">Waveform Inversion 5</a></td>\n<td>Train-Data</td>\n<td>data10 - data9</td>\n<td>data10 - data9</td>\n<td>seis2_1_16 - seis2_1_19</td>\n<td>seis6_1_16 - seis6_1_19</td>\n<td>data10 - data9</td>\n<td>data10 - data9</td>\n<td>seis2_1_16 - seis2_1_19</td>\n<td>seis6_1_16 - seis6_1_19</td>\n<td>data21 - data25</td>\n<td>data21 - data25</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model10 - model9</td>\n<td>model10 - model9</td>\n<td>vel2_1_16 - vel2_1_19</td>\n<td>vel6_1_16 - vel6_1_19</td>\n<td>model10 - model9</td>\n<td>model10 - model9</td>\n<td>vel2_1_16 - vel2_1_19</td>\n<td>vel6_1_16 - vel6_1_19</td>\n<td>model21 - model25</td>\n<td>model21 - model25</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-6\" target=\"_blank\">Waveform Inversion 6</a></td>\n<td>Train-Data</td>\n<td>data11 - data12</td>\n<td>data11 - data12</td>\n<td>seis2_1_20 - seis2_1_23</td>\n<td>seis6_1_20 - seis6_1_23</td>\n<td>data11 - data12</td>\n<td>data11 - data12</td>\n<td>seis2_1_20 - seis2_1_23</td>\n<td>seis6_1_20 - seis6_1_23</td>\n<td>data26 - data30</td>\n<td>data26 - data30</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model11 - model12</td>\n<td>model11 - model12</td>\n<td>vel2_1_20 - vel2_1_23</td>\n<td>vel6_1_20 - vel6_1_23</td>\n<td>model11 - model12</td>\n<td>model11 - model12</td>\n<td>vel2_1_20 - vel2_1_23</td>\n<td>vel6_1_20 - vel6_1_23</td>\n<td>model26 - model30</td>\n<td>model26 - model30</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-7\" target=\"_blank\">Waveform Inversion 7</a></td>\n<td>Train-Data</td>\n<td>data13 - data14</td>\n<td>data13 - data14</td>\n<td>seis2_1_24 - seis2_1_27</td>\n<td>seis6_1_24 - seis6_1_27</td>\n<td>data13 - data14</td>\n<td>data13 - data14</td>\n<td>seis2_1_24 - seis2_1_27</td>\n<td>seis6_1_24 - seis6_1_27</td>\n<td>data31 - data35</td>\n<td>data31 - data35</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model13 - model14</td>\n<td>model13 - model14</td>\n<td>vel2_1_24 - vel2_1_27</td>\n<td>vel6_1_24 - vel6_1_27</td>\n<td>model13 - model14</td>\n<td>model13 - model14</td>\n<td>vel2_1_24 - vel2_1_27</td>\n<td>vel6_1_24 - vel6_1_27</td>\n<td>model31 - model35</td>\n<td>model31 - model35</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-8\" target=\"_blank\">Waveform Inversion 8</a></td>\n<td>Train-Data</td>\n<td>data15 - data16</td>\n<td>data15 - data16</td>\n<td>seis2_1_28 - seis2_1_31</td>\n<td>seis6_1_28 - seis6_1_31</td>\n<td>data15 - data16</td>\n<td>data15 - data16</td>\n<td>seis2_1_28 - seis2_1_31</td>\n<td>seis6_1_28 - seis6_1_31</td>\n<td>data36 - data40</td>\n<td>data36 - data40</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model15 - model16</td>\n<td>model15 - model16</td>\n<td>vel2_1_28 - vel2_1_31</td>\n<td>vel6_1_28 - vel6_1_31</td>\n<td>model15 - model16</td>\n<td>model15 - model16</td>\n<td>vel2_1_28 - vel2_1_31</td>\n<td>vel6_1_28 - vel6_1_31</td>\n<td>model36 - model40</td>\n<td>model36 - model40</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-9\" target=\"_blank\">Waveform Inversion 9</a></td>\n<td>Train-Data</td>\n<td>data17 - data18</td>\n<td>data17 - data18</td>\n<td>seis3_1_0 - seis3_1_3</td>\n<td>seis7_1_0 - seis7_1_3</td>\n<td>data17 - data18</td>\n<td>data17 - data18</td>\n<td>seis3_1_0 - seis3_1_3</td>\n<td>seis7_1_0 - seis7_1_3</td>\n<td>data41 - data45</td>\n<td>data41 - data45</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model17 - model18</td>\n<td>model17 - model18</td>\n<td>vel3_1_0 - vel3_1_3</td>\n<td>vel7_1_0 - vel7_1_3</td>\n<td>model17 - model18</td>\n<td>model17 - model18</td>\n<td>vel3_1_0 - vel3_1_3</td>\n<td>vel7_1_0 - vel7_1_3</td>\n<td>model41 - model45</td>\n<td>model41 - model45</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-10\" target=\"_blank\">Waveform Inversion 10</a></td>\n<td>Train-Data</td>\n<td>data19 - data20</td>\n<td>data19 - data20</td>\n<td>seis3_1_4 - seis3_1_7</td>\n<td>seis7_1_4 - seis7_1_7</td>\n<td>data19 - data20</td>\n<td>data19 - data20</td>\n<td>seis3_1_4 - seis3_1_7</td>\n<td>seis7_1_4 - seis7_1_7</td>\n<td>data46 - data50</td>\n<td>data46 - data50</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model19 - model20</td>\n<td>model19 - model20</td>\n<td>vel3_1_4 - vel3_1_7</td>\n<td>vel7_1_4 - vel7_1_7</td>\n<td>model19 - model20</td>\n<td>model19 - model20</td>\n<td>vel3_1_4 - vel3_1_7</td>\n<td>vel7_1_4 - vel7_1_7</td>\n<td>model46 - model50</td>\n<td>model46 - model50</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-11\" target=\"_blank\">Waveform Inversion 11</a></td>\n<td>Train-Data</td>\n<td>data21 - data22</td>\n<td>data21 - data22</td>\n<td>seis3_1_10 - seis3_1_9</td>\n<td>seis7_1_10 - seis7_1_9</td>\n<td>data21 - data22</td>\n<td>data21 - data22</td>\n<td>seis3_1_10 - seis3_1_9</td>\n<td>seis7_1_10 - seis7_1_9</td>\n<td>data51 - data55</td>\n<td>data51 - data55</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model21 - model22</td>\n<td>model21 - model22</td>\n<td>vel3_1_10 - vel3_1_9</td>\n<td>vel7_1_10 - vel7_1_9</td>\n<td>model21 - model22</td>\n<td>model21 - model22</td>\n<td>vel3_1_10 - vel3_1_9</td>\n<td>vel7_1_10 - vel7_1_9</td>\n<td>model51 - model55</td>\n<td>model51 - model55</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-12\" target=\"_blank\">Waveform Inversion 12</a></td>\n<td>Train-Data</td>\n<td>data23 - data24</td>\n<td>data23 - data24</td>\n<td>seis3_1_12 - seis3_1_15</td>\n<td>seis7_1_12 - seis7_1_15</td>\n<td>data23 - data24</td>\n<td>data23 - data24</td>\n<td>seis3_1_12 - seis3_1_15</td>\n<td>seis7_1_12 - seis7_1_15</td>\n<td>data56 - data60</td>\n<td>data56 - data60</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model23 - model24</td>\n<td>model23 - model24</td>\n<td>vel3_1_12 - vel3_1_15</td>\n<td>vel7_1_12 - vel7_1_15</td>\n<td>model23 - model24</td>\n<td>model23 - model24</td>\n<td>vel3_1_12 - vel3_1_15</td>\n<td>vel7_1_12 - vel7_1_15</td>\n<td>model56 - model60</td>\n<td>model56 - model60</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-13\" target=\"_blank\">Waveform Inversion 13</a></td>\n<td>Train-Data</td>\n<td>data25 - data26</td>\n<td>data25 - data26</td>\n<td>seis3_1_16 - seis3_1_19</td>\n<td>seis7_1_16 - seis7_1_19</td>\n<td>data25 - data26</td>\n<td>data25 - data26</td>\n<td>seis3_1_16 - seis3_1_19</td>\n<td>seis7_1_16 - seis7_1_19</td>\n<td>data61 - data65</td>\n<td>data61 - data65</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model25 - model26</td>\n<td>model25 - model26</td>\n<td>vel3_1_16 - vel3_1_19</td>\n<td>vel7_1_16 - vel7_1_19</td>\n<td>model25 - model26</td>\n<td>model25 - model26</td>\n<td>vel3_1_16 - vel3_1_19</td>\n<td>vel7_1_16 - vel7_1_19</td>\n<td>model61 - model65</td>\n<td>model61 - model65</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-14\" target=\"_blank\">Waveform Inversion 14</a></td>\n<td>Train-Data</td>\n<td>data27 - data28</td>\n<td>data27 - data28</td>\n<td>seis3_1_20 - seis3_1_23</td>\n<td>seis7_1_20 - seis7_1_23</td>\n<td>data27 - data28</td>\n<td>data27 - data28</td>\n<td>seis3_1_20 - seis3_1_23</td>\n<td>seis7_1_20 - seis7_1_23</td>\n<td>data66 - data70</td>\n<td>data66 - data70</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model27 - model28</td>\n<td>model27 - model28</td>\n<td>vel3_1_20 - vel3_1_23</td>\n<td>vel7_1_20 - vel7_1_23</td>\n<td>model27 - model28</td>\n<td>model27 - model28</td>\n<td>vel3_1_20 - vel3_1_23</td>\n<td>vel7_1_20 - vel7_1_23</td>\n<td>model66 - model70</td>\n<td>model66 - model70</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-15\" target=\"_blank\">Waveform Inversion 15</a></td>\n<td>Train-Data</td>\n<td>data29 - data30</td>\n<td>data29 - data30</td>\n<td>seis3_1_24 - seis3_1_27</td>\n<td>seis7_1_24 - seis7_1_27</td>\n<td>data29 - data30</td>\n<td>data29 - data30</td>\n<td>seis3_1_24 - seis3_1_27</td>\n<td>seis7_1_24 - seis7_1_27</td>\n<td>data71 - data75</td>\n<td>data71 - data75</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model29 - model30</td>\n<td>model29 - model30</td>\n<td>vel3_1_24 - vel3_1_27</td>\n<td>vel7_1_24 - vel7_1_27</td>\n<td>model29 - model30</td>\n<td>model29 - model30</td>\n<td>vel3_1_24 - vel3_1_27</td>\n<td>vel7_1_24 - vel7_1_27</td>\n<td>model71 - model75</td>\n<td>model71 - model75</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-16\" target=\"_blank\">Waveform Inversion 16</a></td>\n<td>Train-Data</td>\n<td>data31 - data32</td>\n<td>data31 - data32</td>\n<td>seis3_1_28 - seis3_1_31</td>\n<td>seis7_1_28 - seis7_1_31</td>\n<td>data31 - data32</td>\n<td>data31 - data32</td>\n<td>seis3_1_28 - seis3_1_31</td>\n<td>seis7_1_28 - seis7_1_31</td>\n<td>data76 - data80</td>\n<td>data76 - data80</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model31 - model32</td>\n<td>model31 - model32</td>\n<td>vel3_1_28 - vel3_1_31</td>\n<td>vel7_1_28 - vel7_1_31</td>\n<td>model31 - model32</td>\n<td>model31 - model32</td>\n<td>vel3_1_28 - vel3_1_31</td>\n<td>vel7_1_28 - vel7_1_31</td>\n<td>model76 - model80</td>\n<td>model76 - model80</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-17\" target=\"_blank\">Waveform Inversion 17</a></td>\n<td>Train-Data</td>\n<td>data33 - data34</td>\n<td>data33 - data34</td>\n<td>seis4_1_0 - seis4_1_3</td>\n<td>seis8_1_0 - seis8_1_3</td>\n<td>data33 - data34</td>\n<td>data33 - data34</td>\n<td>seis4_1_0 - seis4_1_3</td>\n<td>seis8_1_0 - seis8_1_3</td>\n<td>data81 - data85</td>\n<td>data81 - data85</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model33 - model34</td>\n<td>model33 - model34</td>\n<td>vel4_1_0 - vel4_1_3</td>\n<td>vel8_1_0 - vel8_1_3</td>\n<td>model33 - model34</td>\n<td>model33 - model34</td>\n<td>vel4_1_0 - vel4_1_3</td>\n<td>vel8_1_0 - vel8_1_3</td>\n<td>model81 - model85</td>\n<td>model81 - model85</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-18\" target=\"_blank\">Waveform Inversion 18</a></td>\n<td>Train-Data</td>\n<td>data35 - data36</td>\n<td>data35 - data36</td>\n<td>seis4_1_4 - seis4_1_7</td>\n<td>seis8_1_4 - seis8_1_7</td>\n<td>data35 - data36</td>\n<td>data35 - data36</td>\n<td>seis4_1_4 - seis4_1_7</td>\n<td>seis8_1_4 - seis8_1_7</td>\n<td>data86 - data90</td>\n<td>data86 - data90</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model35 - model36</td>\n<td>model35 - model36</td>\n<td>vel4_1_4 - vel4_1_7</td>\n<td>vel8_1_4 - vel8_1_7</td>\n<td>model35 - model36</td>\n<td>model35 - model36</td>\n<td>vel4_1_4 - vel4_1_7</td>\n<td>vel8_1_4 - vel8_1_7</td>\n<td>model86 - model90</td>\n<td>model86 - model90</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-19\" target=\"_blank\">Waveform Inversion 19</a></td>\n<td>Train-Data</td>\n<td>data37 - data38</td>\n<td>data37 - data38</td>\n<td>seis4_1_10 - seis4_1_9</td>\n<td>seis8_1_10 - seis8_1_9</td>\n<td>data37 - data38</td>\n<td>data37 - data38</td>\n<td>seis4_1_10 - seis4_1_9</td>\n<td>seis8_1_10 - seis8_1_9</td>\n<td>data91 - data95</td>\n<td>data91 - data95</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model37 - model38</td>\n<td>model37 - model38</td>\n<td>vel4_1_10 - vel4_1_9</td>\n<td>vel8_1_10 - vel8_1_9</td>\n<td>model37 - model38</td>\n<td>model37 - model38</td>\n<td>vel4_1_10 - vel4_1_9</td>\n<td>vel8_1_10 - vel8_1_9</td>\n<td>model91 - model95</td>\n<td>model91 - model95</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-20\" target=\"_blank\">Waveform Inversion 20</a></td>\n<td>Train-Data</td>\n<td>data39 - data40</td>\n<td>data39 - data40</td>\n<td>seis4_1_12 - seis4_1_15</td>\n<td>seis8_1_12 - seis8_1_15</td>\n<td>data39 - data40</td>\n<td>data39 - data40</td>\n<td>seis4_1_12 - seis4_1_15</td>\n<td>seis8_1_12 - seis8_1_15</td>\n<td>data100 - data99</td>\n<td>data100 - data99</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model39 - model40</td>\n<td>model39 - model40</td>\n<td>vel4_1_12 - vel4_1_15</td>\n<td>vel8_1_12 - vel8_1_15</td>\n<td>model39 - model40</td>\n<td>model39 - model40</td>\n<td>vel4_1_12 - vel4_1_15</td>\n<td>vel8_1_12 - vel8_1_15</td>\n<td>model100 - model99</td>\n<td>model100 - model99</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-21\" target=\"_blank\">Waveform Inversion 21</a></td>\n<td>Train-Data</td>\n<td>data41 - data42</td>\n<td>data41 - data42</td>\n<td>seis4_1_16 - seis4_1_19</td>\n<td>seis8_1_16 - seis8_1_19</td>\n<td>data41 - data42</td>\n<td>data41 - data42</td>\n<td>seis4_1_16 - seis4_1_19</td>\n<td>seis8_1_16 - seis8_1_19</td>\n<td>data101 - data105</td>\n<td>data101 - data105</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model41 - model42</td>\n<td>model41 - model42</td>\n<td>vel4_1_16 - vel4_1_19</td>\n<td>vel8_1_16 - vel8_1_19</td>\n<td>model41 - model42</td>\n<td>model41 - model42</td>\n<td>vel4_1_16 - vel4_1_19</td>\n<td>vel8_1_16 - vel8_1_19</td>\n<td>model101 - model105</td>\n<td>model101 - model105</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-22\" target=\"_blank\">Waveform Inversion 22</a></td>\n<td>Train-Data</td>\n<td>data43 - data44</td>\n<td>data43 - data44</td>\n<td>seis4_1_20 - seis4_1_23</td>\n<td>seis8_1_20 - seis8_1_23</td>\n<td>data43 - data44</td>\n<td>data43 - data44</td>\n<td>seis4_1_20 - seis4_1_23</td>\n<td>seis8_1_20 - seis8_1_23</td>\n<td>data106 - data110</td>\n<td>data106 - data110</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model43 - model44</td>\n<td>model43 - model44</td>\n<td>vel4_1_20 - vel4_1_23</td>\n<td>vel8_1_20 - vel8_1_23</td>\n<td>model43 - model44</td>\n<td>model43 - model44</td>\n<td>vel4_1_20 - vel4_1_23</td>\n<td>vel8_1_20 - vel8_1_23</td>\n<td>model106 - model110</td>\n<td>model106 - model110</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-23\" target=\"_blank\">Waveform Inversion 23</a></td>\n<td>Train-Data</td>\n<td>data45 - data46</td>\n<td>data45 - data46</td>\n<td>seis4_1_24 - seis4_1_27</td>\n<td>seis8_1_24 - seis8_1_27</td>\n<td>data45 - data46</td>\n<td>data45 - data46</td>\n<td>seis4_1_24 - seis4_1_27</td>\n<td>seis8_1_24 - seis8_1_27</td>\n<td>data111 - data115</td>\n<td>data111 - data115</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model45 - model46</td>\n<td>model45 - model46</td>\n<td>vel4_1_24 - vel4_1_27</td>\n<td>vel8_1_24 - vel8_1_27</td>\n<td>model45 - model46</td>\n<td>model45 - model46</td>\n<td>vel4_1_24 - vel4_1_27</td>\n<td>vel8_1_24 - vel8_1_27</td>\n<td>model111 - model115</td>\n<td>model111 - model115</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-24\" target=\"_blank\">Waveform Inversion 24</a></td>\n<td>Train-Data</td>\n<td>data47 - data48</td>\n<td>data47 - data48</td>\n<td>seis4_1_28 - seis4_1_31</td>\n<td>seis8_1_28 - seis8_1_31</td>\n<td>data47 - data48</td>\n<td>data47 - data48</td>\n<td>seis4_1_28 - seis4_1_31</td>\n<td>seis8_1_28 - seis8_1_31</td>\n<td>data116 - data120</td>\n<td>data116 - data120</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model47 - model48</td>\n<td>model47 - model48</td>\n<td>vel4_1_28 - vel4_1_31</td>\n<td>vel8_1_28 - vel8_1_31</td>\n<td>model47 - model48</td>\n<td>model47 - model48</td>\n<td>vel4_1_28 - vel4_1_31</td>\n<td>vel8_1_28 - vel8_1_31</td>\n<td>model116 - model120</td>\n<td>model116 - model120</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-25\" target=\"_blank\">Waveform Inversion 25</a></td>\n<td>Val-Data</td>\n<td>data49 - data50</td>\n<td>data49 - data50</td>\n<td>seis2_1_32 - seis2_1_35</td>\n<td>seis6_1_32 - seis6_1_35</td>\n<td>data49 - data50</td>\n<td>data49 - data50</td>\n<td>seis2_1_32 - seis2_1_35</td>\n<td>seis6_1_32 - seis6_1_35</td>\n<td>data121 - data125</td>\n<td>data121 - data125</td>\n</tr>\n<tr>\n<td></td>\n<td>Val-Model</td>\n<td>model49 - model50</td>\n<td>model49 - model50</td>\n<td>vel2_1_32 - vel2_1_35</td>\n<td>vel6_1_32 - vel6_1_35</td>\n<td>model49 - model50</td>\n<td>model49 - model50</td>\n<td>vel2_1_32 - vel2_1_35</td>\n<td>vel6_1_32 - vel6_1_35</td>\n<td>model121 - model125</td>\n<td>model121 - model125</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-26\" target=\"_blank\">Waveform Inversion 26</a></td>\n<td>Val-Data</td>\n<td>data51 - data52</td>\n<td>data51 - data52</td>\n<td>seis3_1_32 - seis3_1_35</td>\n<td>seis7_1_32 - seis7_1_35</td>\n<td>data51 - data52</td>\n<td>data51 - data52</td>\n<td>seis3_1_32 - seis3_1_35</td>\n<td>seis7_1_32 - seis7_1_35</td>\n<td>data126 - data130</td>\n<td>data126 - data130</td>\n</tr>\n<tr>\n<td></td>\n<td>Val-Model</td>\n<td>model51 - model52</td>\n<td>model51 - model52</td>\n<td>vel3_1_32 - vel3_1_35</td>\n<td>vel7_1_32 - vel7_1_35</td>\n<td>model51 - model52</td>\n<td>model51 - model52</td>\n<td>vel3_1_32 - vel3_1_35</td>\n<td>vel7_1_32 - vel7_1_35</td>\n<td>model126 - model130</td>\n<td>model126 - model130</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-27\" target=\"_blank\">Waveform Inversion 27</a></td>\n<td>Val-Data</td>\n<td>data53 - data54</td>\n<td>data53 - data54</td>\n<td>seis4_1_32 - seis4_1_35</td>\n<td>seis8_1_32 - seis8_1_35</td>\n<td>data53 - data54</td>\n<td>data53 - data54</td>\n<td>seis4_1_32 - seis4_1_35</td>\n<td>seis8_1_32 - seis8_1_35</td>\n<td>data131 - data134</td>\n<td>data131 - data134</td>\n</tr>\n<tr>\n<td></td>\n<td>Val-Model</td>\n<td>model53 - model54</td>\n<td>model53 - model54</td>\n<td>vel4_1_32 - vel4_1_35</td>\n<td>vel8_1_32 - vel8_1_35</td>\n<td>model53 - model54</td>\n<td>model53 - model54</td>\n<td>vel4_1_32 - vel4_1_35</td>\n<td>vel8_1_32 - vel8_1_35</td>\n<td>model131 - model134</td>\n<td>model131 - model134</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-28\" target=\"_blank\">Waveform Inversion 28</a></td>\n<td>Extra-Data</td>\n<td>data55 - data56</td>\n<td>data55 - data56</td>\n<td></td>\n<td></td>\n<td>data55 - data56</td>\n<td>data55 - data56</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n<tr>\n<td></td>\n<td>Extra-Model</td>\n<td>model55 - model56</td>\n<td>model55 - model56</td>\n<td></td>\n<td></td>\n<td>model55 - model56</td>\n<td>model55 - model56</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-29\" target=\"_blank\">Waveform Inversion 29</a></td>\n<td>Extra-Data</td>\n<td>data57 - data58</td>\n<td>data57 - data58</td>\n<td></td>\n<td></td>\n<td>data57 - data58</td>\n<td>data57 - data58</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n<tr>\n<td></td>\n<td>Extra-Model</td>\n<td>model57 - model58</td>\n<td>model57 - model58</td>\n<td></td>\n<td></td>\n<td>model57 - model58</td>\n<td>model57 - model58</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-30\" target=\"_blank\">Waveform Inversion 30</a></td>\n<td>Extra-Data</td>\n<td>data59 - data60</td>\n<td>data59 - data60</td>\n<td></td>\n<td></td>\n<td>data59 - data60</td>\n<td>data59 - data60</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n<tr>\n<td></td>\n<td>Extra-Model</td>\n<td>model59 - model60</td>\n<td>model59 - model60</td>\n<td></td>\n<td></td>\n<td>model59 - model60</td>\n<td>model59 - model60</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n</tbody>\n</table>",
  "messages": [
    {
      "id": 3174867,
      "postDate": "2025-04-09T14:08:19.693Z",
      "content": "<p></p>\n<blockquote>\n  <p>is possible OpenFWI datasets available on Kaggle or Huggingface?  as downloading from google driver large files not working well with command line tools - any suggestion? <a href=\"https://www.kaggle.com/hanchenwang114\" target=\"_blank\">@hanchenwang114</a></p>\n</blockquote>\n<hr>\n<h1><a href=\"https://www.kaggle.com/code/seshurajup/openfwi-train-inversionnet/notebook?scriptVersionId=233524074\" target=\"_blank\">OpenFWI InversionNet [Train] with 670G Kaggle Datasets</a></h1>\n<blockquote>\n  <p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F621626b7af7f331b422da7baf2f7d104%2F1.png?generation=1744487669778191&amp;alt=media\" alt=\"\"></p>\n  <ul>\n  <li>InversionNet training with mixed datasets</li>\n  <li>Training part 1 with 20% of 500 samples - training on Kaggle notebook ~ 17mins ( major bottleneck cpu then gpu )</li>\n  <li>Source from <a href=\"https://colab.research.google.com/drive/17s5JmVs9ABl8MpmFlhWMSslj9_d5Atfx?usp=sharing#scrollTo=CF8qxejVgrla\" target=\"_blank\">OpenFWI-Tutorial.ipynb</a></li>\n  </ul>\n</blockquote>\n<p>-</p>\n<h1><a href=\"https://www.kaggle.com/code/seshurajup/openfwi-hgnet-train-with-670g\" target=\"_blank\">OpenFWI HgNet [Train] with 670G Kaggle Datasets</a> - 1 Epoch 1 Hour on GPU T4 x2</h1>\n<blockquote>\n  <p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F29abb6c11501446345a147792e4a8f73%2FScreenshot%202025-04-14%20at%201.50.06PM.png?generation=1744618887612399&amp;alt=media\" alt=\"\"></p>\n  <ul>\n  <li>HgNet training with mixed dataset</li>\n  <li>Using GPU T4 x2</li>\n  <li>average of l2 + l1 loss</li>\n  <li><strong>Each epoch took 1 hour on Kaggle GPU T4 x2 using HgNet with 670G training and 1st files as CV</strong></li>\n  <li>Soruce from <a href=\"https://www.kaggle.com/code/i2nfinit3y/hgnet-training-inference\" target=\"_blank\">HgNet-Training &amp; Inference</a></li>\n  </ul>\n</blockquote>\n<hr>\n<h1><a href=\"https://huggingface.co/datasets/ashynf/OpenFWI\" target=\"_blank\">Huggingface 670G Dataset</a> - Host added</h1>\n<hr>\n<h1><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-metadata\" target=\"_blank\">Kaggle OpenFWI Datasets Metadata of all datasets</a></h1>\n<hr>\n<h1>Kaggle OpenFWI Datasets - Upvote if it useful (670G)</h1>\n<blockquote>\n  <p><strong>Train, Val splits follow same distribution as OpenFWI distribution</strong><br>\n  <strong>To clarify, the test set used in this competition follows the similar distribution as the original OpenFWI dataset. It was generated using the same simulation code and hyperparameters as the training data. -  <a href=\"https://www.kaggle.com/competitions/waveform-inversion/discussion/572334#3175071\" target=\"_blank\">Author conformed about distribution</a></strong></p>\n</blockquote>\n<table>\n<thead>\n<tr>\n<th>Name/Link</th>\n<th>Train Val Extra</th>\n<th>FlatVel_A Data/Model</th>\n<th>FlatVel_B Data/Model</th>\n<th>FlatFault_A Data/Model</th>\n<th>FlatFault_B Data/Model</th>\n<th>CurveVel_A Data/Model</th>\n<th>CurveVel_B Data/Model</th>\n<th>CurveFault_A Data/Model</th>\n<th>CurveFault_B Data/Model</th>\n<th>Style_A Data/Model</th>\n<th>Style_B Data/Model</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-1\" target=\"_blank\">Waveform Inversion 1</a></td>\n<td>Train-Data</td>\n<td>data1 - data2</td>\n<td>data1 - data2</td>\n<td>seis2_1_0 - seis2_1_3</td>\n<td>seis6_1_0 - seis6_1_3</td>\n<td>data1 - data2</td>\n<td>data1 - data2</td>\n<td>seis2_1_0 - seis2_1_3</td>\n<td>seis6_1_0 - seis6_1_3</td>\n<td>data1 - data5</td>\n<td>data1 - data5</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model1 - model2</td>\n<td>model1 - model2</td>\n<td>vel2_1_0 - vel2_1_3</td>\n<td>vel6_1_0 - vel6_1_3</td>\n<td>model1 - model2</td>\n<td>model1 - model2</td>\n<td>vel2_1_0 - vel2_1_3</td>\n<td>vel6_1_0 - vel6_1_3</td>\n<td>model1 - model5</td>\n<td>model1 - model5</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-2\" target=\"_blank\">Waveform Inversion 2</a></td>\n<td>Train-Data</td>\n<td>data3 - data4</td>\n<td>data3 - data4</td>\n<td>seis2_1_4 - seis2_1_7</td>\n<td>seis6_1_4 - seis6_1_7</td>\n<td>data3 - data4</td>\n<td>data3 - data4</td>\n<td>seis2_1_4 - seis2_1_7</td>\n<td>seis6_1_4 - seis6_1_7</td>\n<td>data10 - data9</td>\n<td>data10 - data9</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model3 - model4</td>\n<td>model3 - model4</td>\n<td>vel2_1_4 - vel2_1_7</td>\n<td>vel6_1_4 - vel6_1_7</td>\n<td>model3 - model4</td>\n<td>model3 - model4</td>\n<td>vel2_1_4 - vel2_1_7</td>\n<td>vel6_1_4 - vel6_1_7</td>\n<td>model10 - model9</td>\n<td>model10 - model9</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-3\" target=\"_blank\">Waveform Inversion 3</a></td>\n<td>Train-Data</td>\n<td>data5 - data6</td>\n<td>data5 - data6</td>\n<td>seis2_1_10 - seis2_1_9</td>\n<td>seis6_1_10 - seis6_1_9</td>\n<td>data5 - data6</td>\n<td>data5 - data6</td>\n<td>seis2_1_10 - seis2_1_9</td>\n<td>seis6_1_10 - seis6_1_9</td>\n<td>data11 - data15</td>\n<td>data11 - data15</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model5 - model6</td>\n<td>model5 - model6</td>\n<td>vel2_1_10 - vel2_1_9</td>\n<td>vel6_1_10 - vel6_1_9</td>\n<td>model5 - model6</td>\n<td>model5 - model6</td>\n<td>vel2_1_10 - vel2_1_9</td>\n<td>vel6_1_10 - vel6_1_9</td>\n<td>model11 - model15</td>\n<td>model11 - model15</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-4\" target=\"_blank\">Waveform Inversion 4</a></td>\n<td>Train-Data</td>\n<td>data7 - data8</td>\n<td>data7 - data8</td>\n<td>seis2_1_12 - seis2_1_15</td>\n<td>seis6_1_12 - seis6_1_15</td>\n<td>data7 - data8</td>\n<td>data7 - data8</td>\n<td>seis2_1_12 - seis2_1_15</td>\n<td>seis6_1_12 - seis6_1_15</td>\n<td>data16 - data20</td>\n<td>data16 - data20</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model7 - model8</td>\n<td>model7 - model8</td>\n<td>vel2_1_12 - vel2_1_15</td>\n<td>vel6_1_12 - vel6_1_15</td>\n<td>model7 - model8</td>\n<td>model7 - model8</td>\n<td>vel2_1_12 - vel2_1_15</td>\n<td>vel6_1_12 - vel6_1_15</td>\n<td>model16 - model20</td>\n<td>model16 - model20</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-5\" target=\"_blank\">Waveform Inversion 5</a></td>\n<td>Train-Data</td>\n<td>data10 - data9</td>\n<td>data10 - data9</td>\n<td>seis2_1_16 - seis2_1_19</td>\n<td>seis6_1_16 - seis6_1_19</td>\n<td>data10 - data9</td>\n<td>data10 - data9</td>\n<td>seis2_1_16 - seis2_1_19</td>\n<td>seis6_1_16 - seis6_1_19</td>\n<td>data21 - data25</td>\n<td>data21 - data25</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model10 - model9</td>\n<td>model10 - model9</td>\n<td>vel2_1_16 - vel2_1_19</td>\n<td>vel6_1_16 - vel6_1_19</td>\n<td>model10 - model9</td>\n<td>model10 - model9</td>\n<td>vel2_1_16 - vel2_1_19</td>\n<td>vel6_1_16 - vel6_1_19</td>\n<td>model21 - model25</td>\n<td>model21 - model25</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-6\" target=\"_blank\">Waveform Inversion 6</a></td>\n<td>Train-Data</td>\n<td>data11 - data12</td>\n<td>data11 - data12</td>\n<td>seis2_1_20 - seis2_1_23</td>\n<td>seis6_1_20 - seis6_1_23</td>\n<td>data11 - data12</td>\n<td>data11 - data12</td>\n<td>seis2_1_20 - seis2_1_23</td>\n<td>seis6_1_20 - seis6_1_23</td>\n<td>data26 - data30</td>\n<td>data26 - data30</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model11 - model12</td>\n<td>model11 - model12</td>\n<td>vel2_1_20 - vel2_1_23</td>\n<td>vel6_1_20 - vel6_1_23</td>\n<td>model11 - model12</td>\n<td>model11 - model12</td>\n<td>vel2_1_20 - vel2_1_23</td>\n<td>vel6_1_20 - vel6_1_23</td>\n<td>model26 - model30</td>\n<td>model26 - model30</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-7\" target=\"_blank\">Waveform Inversion 7</a></td>\n<td>Train-Data</td>\n<td>data13 - data14</td>\n<td>data13 - data14</td>\n<td>seis2_1_24 - seis2_1_27</td>\n<td>seis6_1_24 - seis6_1_27</td>\n<td>data13 - data14</td>\n<td>data13 - data14</td>\n<td>seis2_1_24 - seis2_1_27</td>\n<td>seis6_1_24 - seis6_1_27</td>\n<td>data31 - data35</td>\n<td>data31 - data35</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model13 - model14</td>\n<td>model13 - model14</td>\n<td>vel2_1_24 - vel2_1_27</td>\n<td>vel6_1_24 - vel6_1_27</td>\n<td>model13 - model14</td>\n<td>model13 - model14</td>\n<td>vel2_1_24 - vel2_1_27</td>\n<td>vel6_1_24 - vel6_1_27</td>\n<td>model31 - model35</td>\n<td>model31 - model35</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-8\" target=\"_blank\">Waveform Inversion 8</a></td>\n<td>Train-Data</td>\n<td>data15 - data16</td>\n<td>data15 - data16</td>\n<td>seis2_1_28 - seis2_1_31</td>\n<td>seis6_1_28 - seis6_1_31</td>\n<td>data15 - data16</td>\n<td>data15 - data16</td>\n<td>seis2_1_28 - seis2_1_31</td>\n<td>seis6_1_28 - seis6_1_31</td>\n<td>data36 - data40</td>\n<td>data36 - data40</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model15 - model16</td>\n<td>model15 - model16</td>\n<td>vel2_1_28 - vel2_1_31</td>\n<td>vel6_1_28 - vel6_1_31</td>\n<td>model15 - model16</td>\n<td>model15 - model16</td>\n<td>vel2_1_28 - vel2_1_31</td>\n<td>vel6_1_28 - vel6_1_31</td>\n<td>model36 - model40</td>\n<td>model36 - model40</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-9\" target=\"_blank\">Waveform Inversion 9</a></td>\n<td>Train-Data</td>\n<td>data17 - data18</td>\n<td>data17 - data18</td>\n<td>seis3_1_0 - seis3_1_3</td>\n<td>seis7_1_0 - seis7_1_3</td>\n<td>data17 - data18</td>\n<td>data17 - data18</td>\n<td>seis3_1_0 - seis3_1_3</td>\n<td>seis7_1_0 - seis7_1_3</td>\n<td>data41 - data45</td>\n<td>data41 - data45</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model17 - model18</td>\n<td>model17 - model18</td>\n<td>vel3_1_0 - vel3_1_3</td>\n<td>vel7_1_0 - vel7_1_3</td>\n<td>model17 - model18</td>\n<td>model17 - model18</td>\n<td>vel3_1_0 - vel3_1_3</td>\n<td>vel7_1_0 - vel7_1_3</td>\n<td>model41 - model45</td>\n<td>model41 - model45</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-10\" target=\"_blank\">Waveform Inversion 10</a></td>\n<td>Train-Data</td>\n<td>data19 - data20</td>\n<td>data19 - data20</td>\n<td>seis3_1_4 - seis3_1_7</td>\n<td>seis7_1_4 - seis7_1_7</td>\n<td>data19 - data20</td>\n<td>data19 - data20</td>\n<td>seis3_1_4 - seis3_1_7</td>\n<td>seis7_1_4 - seis7_1_7</td>\n<td>data46 - data50</td>\n<td>data46 - data50</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model19 - model20</td>\n<td>model19 - model20</td>\n<td>vel3_1_4 - vel3_1_7</td>\n<td>vel7_1_4 - vel7_1_7</td>\n<td>model19 - model20</td>\n<td>model19 - model20</td>\n<td>vel3_1_4 - vel3_1_7</td>\n<td>vel7_1_4 - vel7_1_7</td>\n<td>model46 - model50</td>\n<td>model46 - model50</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-11\" target=\"_blank\">Waveform Inversion 11</a></td>\n<td>Train-Data</td>\n<td>data21 - data22</td>\n<td>data21 - data22</td>\n<td>seis3_1_10 - seis3_1_9</td>\n<td>seis7_1_10 - seis7_1_9</td>\n<td>data21 - data22</td>\n<td>data21 - data22</td>\n<td>seis3_1_10 - seis3_1_9</td>\n<td>seis7_1_10 - seis7_1_9</td>\n<td>data51 - data55</td>\n<td>data51 - data55</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model21 - model22</td>\n<td>model21 - model22</td>\n<td>vel3_1_10 - vel3_1_9</td>\n<td>vel7_1_10 - vel7_1_9</td>\n<td>model21 - model22</td>\n<td>model21 - model22</td>\n<td>vel3_1_10 - vel3_1_9</td>\n<td>vel7_1_10 - vel7_1_9</td>\n<td>model51 - model55</td>\n<td>model51 - model55</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-12\" target=\"_blank\">Waveform Inversion 12</a></td>\n<td>Train-Data</td>\n<td>data23 - data24</td>\n<td>data23 - data24</td>\n<td>seis3_1_12 - seis3_1_15</td>\n<td>seis7_1_12 - seis7_1_15</td>\n<td>data23 - data24</td>\n<td>data23 - data24</td>\n<td>seis3_1_12 - seis3_1_15</td>\n<td>seis7_1_12 - seis7_1_15</td>\n<td>data56 - data60</td>\n<td>data56 - data60</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model23 - model24</td>\n<td>model23 - model24</td>\n<td>vel3_1_12 - vel3_1_15</td>\n<td>vel7_1_12 - vel7_1_15</td>\n<td>model23 - model24</td>\n<td>model23 - model24</td>\n<td>vel3_1_12 - vel3_1_15</td>\n<td>vel7_1_12 - vel7_1_15</td>\n<td>model56 - model60</td>\n<td>model56 - model60</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-13\" target=\"_blank\">Waveform Inversion 13</a></td>\n<td>Train-Data</td>\n<td>data25 - data26</td>\n<td>data25 - data26</td>\n<td>seis3_1_16 - seis3_1_19</td>\n<td>seis7_1_16 - seis7_1_19</td>\n<td>data25 - data26</td>\n<td>data25 - data26</td>\n<td>seis3_1_16 - seis3_1_19</td>\n<td>seis7_1_16 - seis7_1_19</td>\n<td>data61 - data65</td>\n<td>data61 - data65</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model25 - model26</td>\n<td>model25 - model26</td>\n<td>vel3_1_16 - vel3_1_19</td>\n<td>vel7_1_16 - vel7_1_19</td>\n<td>model25 - model26</td>\n<td>model25 - model26</td>\n<td>vel3_1_16 - vel3_1_19</td>\n<td>vel7_1_16 - vel7_1_19</td>\n<td>model61 - model65</td>\n<td>model61 - model65</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-14\" target=\"_blank\">Waveform Inversion 14</a></td>\n<td>Train-Data</td>\n<td>data27 - data28</td>\n<td>data27 - data28</td>\n<td>seis3_1_20 - seis3_1_23</td>\n<td>seis7_1_20 - seis7_1_23</td>\n<td>data27 - data28</td>\n<td>data27 - data28</td>\n<td>seis3_1_20 - seis3_1_23</td>\n<td>seis7_1_20 - seis7_1_23</td>\n<td>data66 - data70</td>\n<td>data66 - data70</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model27 - model28</td>\n<td>model27 - model28</td>\n<td>vel3_1_20 - vel3_1_23</td>\n<td>vel7_1_20 - vel7_1_23</td>\n<td>model27 - model28</td>\n<td>model27 - model28</td>\n<td>vel3_1_20 - vel3_1_23</td>\n<td>vel7_1_20 - vel7_1_23</td>\n<td>model66 - model70</td>\n<td>model66 - model70</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-15\" target=\"_blank\">Waveform Inversion 15</a></td>\n<td>Train-Data</td>\n<td>data29 - data30</td>\n<td>data29 - data30</td>\n<td>seis3_1_24 - seis3_1_27</td>\n<td>seis7_1_24 - seis7_1_27</td>\n<td>data29 - data30</td>\n<td>data29 - data30</td>\n<td>seis3_1_24 - seis3_1_27</td>\n<td>seis7_1_24 - seis7_1_27</td>\n<td>data71 - data75</td>\n<td>data71 - data75</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model29 - model30</td>\n<td>model29 - model30</td>\n<td>vel3_1_24 - vel3_1_27</td>\n<td>vel7_1_24 - vel7_1_27</td>\n<td>model29 - model30</td>\n<td>model29 - model30</td>\n<td>vel3_1_24 - vel3_1_27</td>\n<td>vel7_1_24 - vel7_1_27</td>\n<td>model71 - model75</td>\n<td>model71 - model75</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-16\" target=\"_blank\">Waveform Inversion 16</a></td>\n<td>Train-Data</td>\n<td>data31 - data32</td>\n<td>data31 - data32</td>\n<td>seis3_1_28 - seis3_1_31</td>\n<td>seis7_1_28 - seis7_1_31</td>\n<td>data31 - data32</td>\n<td>data31 - data32</td>\n<td>seis3_1_28 - seis3_1_31</td>\n<td>seis7_1_28 - seis7_1_31</td>\n<td>data76 - data80</td>\n<td>data76 - data80</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model31 - model32</td>\n<td>model31 - model32</td>\n<td>vel3_1_28 - vel3_1_31</td>\n<td>vel7_1_28 - vel7_1_31</td>\n<td>model31 - model32</td>\n<td>model31 - model32</td>\n<td>vel3_1_28 - vel3_1_31</td>\n<td>vel7_1_28 - vel7_1_31</td>\n<td>model76 - model80</td>\n<td>model76 - model80</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-17\" target=\"_blank\">Waveform Inversion 17</a></td>\n<td>Train-Data</td>\n<td>data33 - data34</td>\n<td>data33 - data34</td>\n<td>seis4_1_0 - seis4_1_3</td>\n<td>seis8_1_0 - seis8_1_3</td>\n<td>data33 - data34</td>\n<td>data33 - data34</td>\n<td>seis4_1_0 - seis4_1_3</td>\n<td>seis8_1_0 - seis8_1_3</td>\n<td>data81 - data85</td>\n<td>data81 - data85</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model33 - model34</td>\n<td>model33 - model34</td>\n<td>vel4_1_0 - vel4_1_3</td>\n<td>vel8_1_0 - vel8_1_3</td>\n<td>model33 - model34</td>\n<td>model33 - model34</td>\n<td>vel4_1_0 - vel4_1_3</td>\n<td>vel8_1_0 - vel8_1_3</td>\n<td>model81 - model85</td>\n<td>model81 - model85</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-18\" target=\"_blank\">Waveform Inversion 18</a></td>\n<td>Train-Data</td>\n<td>data35 - data36</td>\n<td>data35 - data36</td>\n<td>seis4_1_4 - seis4_1_7</td>\n<td>seis8_1_4 - seis8_1_7</td>\n<td>data35 - data36</td>\n<td>data35 - data36</td>\n<td>seis4_1_4 - seis4_1_7</td>\n<td>seis8_1_4 - seis8_1_7</td>\n<td>data86 - data90</td>\n<td>data86 - data90</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model35 - model36</td>\n<td>model35 - model36</td>\n<td>vel4_1_4 - vel4_1_7</td>\n<td>vel8_1_4 - vel8_1_7</td>\n<td>model35 - model36</td>\n<td>model35 - model36</td>\n<td>vel4_1_4 - vel4_1_7</td>\n<td>vel8_1_4 - vel8_1_7</td>\n<td>model86 - model90</td>\n<td>model86 - model90</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-19\" target=\"_blank\">Waveform Inversion 19</a></td>\n<td>Train-Data</td>\n<td>data37 - data38</td>\n<td>data37 - data38</td>\n<td>seis4_1_10 - seis4_1_9</td>\n<td>seis8_1_10 - seis8_1_9</td>\n<td>data37 - data38</td>\n<td>data37 - data38</td>\n<td>seis4_1_10 - seis4_1_9</td>\n<td>seis8_1_10 - seis8_1_9</td>\n<td>data91 - data95</td>\n<td>data91 - data95</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model37 - model38</td>\n<td>model37 - model38</td>\n<td>vel4_1_10 - vel4_1_9</td>\n<td>vel8_1_10 - vel8_1_9</td>\n<td>model37 - model38</td>\n<td>model37 - model38</td>\n<td>vel4_1_10 - vel4_1_9</td>\n<td>vel8_1_10 - vel8_1_9</td>\n<td>model91 - model95</td>\n<td>model91 - model95</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-20\" target=\"_blank\">Waveform Inversion 20</a></td>\n<td>Train-Data</td>\n<td>data39 - data40</td>\n<td>data39 - data40</td>\n<td>seis4_1_12 - seis4_1_15</td>\n<td>seis8_1_12 - seis8_1_15</td>\n<td>data39 - data40</td>\n<td>data39 - data40</td>\n<td>seis4_1_12 - seis4_1_15</td>\n<td>seis8_1_12 - seis8_1_15</td>\n<td>data100 - data99</td>\n<td>data100 - data99</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model39 - model40</td>\n<td>model39 - model40</td>\n<td>vel4_1_12 - vel4_1_15</td>\n<td>vel8_1_12 - vel8_1_15</td>\n<td>model39 - model40</td>\n<td>model39 - model40</td>\n<td>vel4_1_12 - vel4_1_15</td>\n<td>vel8_1_12 - vel8_1_15</td>\n<td>model100 - model99</td>\n<td>model100 - model99</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-21\" target=\"_blank\">Waveform Inversion 21</a></td>\n<td>Train-Data</td>\n<td>data41 - data42</td>\n<td>data41 - data42</td>\n<td>seis4_1_16 - seis4_1_19</td>\n<td>seis8_1_16 - seis8_1_19</td>\n<td>data41 - data42</td>\n<td>data41 - data42</td>\n<td>seis4_1_16 - seis4_1_19</td>\n<td>seis8_1_16 - seis8_1_19</td>\n<td>data101 - data105</td>\n<td>data101 - data105</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model41 - model42</td>\n<td>model41 - model42</td>\n<td>vel4_1_16 - vel4_1_19</td>\n<td>vel8_1_16 - vel8_1_19</td>\n<td>model41 - model42</td>\n<td>model41 - model42</td>\n<td>vel4_1_16 - vel4_1_19</td>\n<td>vel8_1_16 - vel8_1_19</td>\n<td>model101 - model105</td>\n<td>model101 - model105</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-22\" target=\"_blank\">Waveform Inversion 22</a></td>\n<td>Train-Data</td>\n<td>data43 - data44</td>\n<td>data43 - data44</td>\n<td>seis4_1_20 - seis4_1_23</td>\n<td>seis8_1_20 - seis8_1_23</td>\n<td>data43 - data44</td>\n<td>data43 - data44</td>\n<td>seis4_1_20 - seis4_1_23</td>\n<td>seis8_1_20 - seis8_1_23</td>\n<td>data106 - data110</td>\n<td>data106 - data110</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model43 - model44</td>\n<td>model43 - model44</td>\n<td>vel4_1_20 - vel4_1_23</td>\n<td>vel8_1_20 - vel8_1_23</td>\n<td>model43 - model44</td>\n<td>model43 - model44</td>\n<td>vel4_1_20 - vel4_1_23</td>\n<td>vel8_1_20 - vel8_1_23</td>\n<td>model106 - model110</td>\n<td>model106 - model110</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-23\" target=\"_blank\">Waveform Inversion 23</a></td>\n<td>Train-Data</td>\n<td>data45 - data46</td>\n<td>data45 - data46</td>\n<td>seis4_1_24 - seis4_1_27</td>\n<td>seis8_1_24 - seis8_1_27</td>\n<td>data45 - data46</td>\n<td>data45 - data46</td>\n<td>seis4_1_24 - seis4_1_27</td>\n<td>seis8_1_24 - seis8_1_27</td>\n<td>data111 - data115</td>\n<td>data111 - data115</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model45 - model46</td>\n<td>model45 - model46</td>\n<td>vel4_1_24 - vel4_1_27</td>\n<td>vel8_1_24 - vel8_1_27</td>\n<td>model45 - model46</td>\n<td>model45 - model46</td>\n<td>vel4_1_24 - vel4_1_27</td>\n<td>vel8_1_24 - vel8_1_27</td>\n<td>model111 - model115</td>\n<td>model111 - model115</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-24\" target=\"_blank\">Waveform Inversion 24</a></td>\n<td>Train-Data</td>\n<td>data47 - data48</td>\n<td>data47 - data48</td>\n<td>seis4_1_28 - seis4_1_31</td>\n<td>seis8_1_28 - seis8_1_31</td>\n<td>data47 - data48</td>\n<td>data47 - data48</td>\n<td>seis4_1_28 - seis4_1_31</td>\n<td>seis8_1_28 - seis8_1_31</td>\n<td>data116 - data120</td>\n<td>data116 - data120</td>\n</tr>\n<tr>\n<td></td>\n<td>Train-Model</td>\n<td>model47 - model48</td>\n<td>model47 - model48</td>\n<td>vel4_1_28 - vel4_1_31</td>\n<td>vel8_1_28 - vel8_1_31</td>\n<td>model47 - model48</td>\n<td>model47 - model48</td>\n<td>vel4_1_28 - vel4_1_31</td>\n<td>vel8_1_28 - vel8_1_31</td>\n<td>model116 - model120</td>\n<td>model116 - model120</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-25\" target=\"_blank\">Waveform Inversion 25</a></td>\n<td>Val-Data</td>\n<td>data49 - data50</td>\n<td>data49 - data50</td>\n<td>seis2_1_32 - seis2_1_35</td>\n<td>seis6_1_32 - seis6_1_35</td>\n<td>data49 - data50</td>\n<td>data49 - data50</td>\n<td>seis2_1_32 - seis2_1_35</td>\n<td>seis6_1_32 - seis6_1_35</td>\n<td>data121 - data125</td>\n<td>data121 - data125</td>\n</tr>\n<tr>\n<td></td>\n<td>Val-Model</td>\n<td>model49 - model50</td>\n<td>model49 - model50</td>\n<td>vel2_1_32 - vel2_1_35</td>\n<td>vel6_1_32 - vel6_1_35</td>\n<td>model49 - model50</td>\n<td>model49 - model50</td>\n<td>vel2_1_32 - vel2_1_35</td>\n<td>vel6_1_32 - vel6_1_35</td>\n<td>model121 - model125</td>\n<td>model121 - model125</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-26\" target=\"_blank\">Waveform Inversion 26</a></td>\n<td>Val-Data</td>\n<td>data51 - data52</td>\n<td>data51 - data52</td>\n<td>seis3_1_32 - seis3_1_35</td>\n<td>seis7_1_32 - seis7_1_35</td>\n<td>data51 - data52</td>\n<td>data51 - data52</td>\n<td>seis3_1_32 - seis3_1_35</td>\n<td>seis7_1_32 - seis7_1_35</td>\n<td>data126 - data130</td>\n<td>data126 - data130</td>\n</tr>\n<tr>\n<td></td>\n<td>Val-Model</td>\n<td>model51 - model52</td>\n<td>model51 - model52</td>\n<td>vel3_1_32 - vel3_1_35</td>\n<td>vel7_1_32 - vel7_1_35</td>\n<td>model51 - model52</td>\n<td>model51 - model52</td>\n<td>vel3_1_32 - vel3_1_35</td>\n<td>vel7_1_32 - vel7_1_35</td>\n<td>model126 - model130</td>\n<td>model126 - model130</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-27\" target=\"_blank\">Waveform Inversion 27</a></td>\n<td>Val-Data</td>\n<td>data53 - data54</td>\n<td>data53 - data54</td>\n<td>seis4_1_32 - seis4_1_35</td>\n<td>seis8_1_32 - seis8_1_35</td>\n<td>data53 - data54</td>\n<td>data53 - data54</td>\n<td>seis4_1_32 - seis4_1_35</td>\n<td>seis8_1_32 - seis8_1_35</td>\n<td>data131 - data134</td>\n<td>data131 - data134</td>\n</tr>\n<tr>\n<td></td>\n<td>Val-Model</td>\n<td>model53 - model54</td>\n<td>model53 - model54</td>\n<td>vel4_1_32 - vel4_1_35</td>\n<td>vel8_1_32 - vel8_1_35</td>\n<td>model53 - model54</td>\n<td>model53 - model54</td>\n<td>vel4_1_32 - vel4_1_35</td>\n<td>vel8_1_32 - vel8_1_35</td>\n<td>model131 - model134</td>\n<td>model131 - model134</td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-28\" target=\"_blank\">Waveform Inversion 28</a></td>\n<td>Extra-Data</td>\n<td>data55 - data56</td>\n<td>data55 - data56</td>\n<td></td>\n<td></td>\n<td>data55 - data56</td>\n<td>data55 - data56</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n<tr>\n<td></td>\n<td>Extra-Model</td>\n<td>model55 - model56</td>\n<td>model55 - model56</td>\n<td></td>\n<td></td>\n<td>model55 - model56</td>\n<td>model55 - model56</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-29\" target=\"_blank\">Waveform Inversion 29</a></td>\n<td>Extra-Data</td>\n<td>data57 - data58</td>\n<td>data57 - data58</td>\n<td></td>\n<td></td>\n<td>data57 - data58</td>\n<td>data57 - data58</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n<tr>\n<td></td>\n<td>Extra-Model</td>\n<td>model57 - model58</td>\n<td>model57 - model58</td>\n<td></td>\n<td></td>\n<td>model57 - model58</td>\n<td>model57 - model58</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n<tr>\n<td><a href=\"https://www.kaggle.com/datasets/seshurajup/waveform-inversion-30\" target=\"_blank\">Waveform Inversion 30</a></td>\n<td>Extra-Data</td>\n<td>data59 - data60</td>\n<td>data59 - data60</td>\n<td></td>\n<td></td>\n<td>data59 - data60</td>\n<td>data59 - data60</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n<tr>\n<td></td>\n<td>Extra-Model</td>\n<td>model59 - model60</td>\n<td>model59 - model60</td>\n<td></td>\n<td></td>\n<td>model59 - model60</td>\n<td>model59 - model60</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n</tbody>\n</table>",
      "rawMarkdown": "~~is possible OpenFWI datasets available on Kaggle or Huggingface?~~\n> is possible OpenFWI datasets available on Kaggle or Huggingface?  as downloading from google driver large files not working well with command line tools - any suggestion? @hanchenwang114\n\n---\n\n# [OpenFWI InversionNet [Train] with 670G Kaggle Datasets](https://www.kaggle.com/code/seshurajup/openfwi-train-inversionnet/notebook?scriptVersionId=233524074)\n>  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F621626b7af7f331b422da7baf2f7d104%2F1.png?generation=1744487669778191&alt=media)\n> * InversionNet training with mixed datasets\n> * Training part 1 with 20% of 500 samples - training on Kaggle notebook ~ 17mins ( major bottleneck cpu then gpu )\n> * Source from [OpenFWI-Tutorial.ipynb](https://colab.research.google.com/drive/17s5JmVs9ABl8MpmFlhWMSslj9_d5Atfx?usp=sharing#scrollTo=CF8qxejVgrla)\n\n-\n\n# [OpenFWI HgNet [Train] with 670G Kaggle Datasets](https://www.kaggle.com/code/seshurajup/openfwi-hgnet-train-with-670g) - 1 Epoch 1 Hour on GPU T4 x2\n> ![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F29abb6c11501446345a147792e4a8f73%2FScreenshot%202025-04-14%20at%201.50.06PM.png?generation=1744618887612399&alt=media)\n> * HgNet training with mixed dataset\n> * Using GPU T4 x2\n> * average of l2 + l1 loss\n> * **Each epoch took 1 hour on Kaggle GPU T4 x2 using HgNet with 670G training and 1st files as CV**\n> * Soruce from [HgNet-Training & Inference](https://www.kaggle.com/code/i2nfinit3y/hgnet-training-inference)\n\n---\n\n\n\n# [Huggingface 670G Dataset](https://huggingface.co/datasets/ashynf/OpenFWI) - Host added\n\n---\n\n# [Kaggle OpenFWI Datasets Metadata of all datasets](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-metadata)\n\n---\n\n# Kaggle OpenFWI Datasets - Upvote if it useful (670G)\n> **Train, Val splits follow same distribution as OpenFWI distribution**\n> **To clarify, the test set used in this competition follows the similar distribution as the original OpenFWI dataset. It was generated using the same simulation code and hyperparameters as the training data. -  [Author conformed about distribution](https://www.kaggle.com/competitions/waveform-inversion/discussion/572334#3175071)**\n\n| Name/Link                                                                                 | Train Val Extra   | FlatVel_A Data/Model   | FlatVel_B Data/Model   | FlatFault_A Data/Model   | FlatFault_B Data/Model   | CurveVel_A Data/Model   | CurveVel_B Data/Model   | CurveFault_A Data/Model   | CurveFault_B Data/Model   | Style_A Data/Model   | Style_B Data/Model   |\n|:------------------------------------------------------------------------------------------|:------------------|:-----------------------|:-----------------------|:-------------------------|:-------------------------|:------------------------|:------------------------|:--------------------------|:--------------------------|:---------------------|:---------------------|\n| [Waveform Inversion 1](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-1)   | Train-Data        | data1 - data2          | data1 - data2          | seis2_1_0 - seis2_1_3    | seis6_1_0 - seis6_1_3    | data1 - data2           | data1 - data2           | seis2_1_0 - seis2_1_3     | seis6_1_0 - seis6_1_3     | data1 - data5        | data1 - data5        |\n|                                                                                           | Train-Model       | model1 - model2        | model1 - model2        | vel2_1_0 - vel2_1_3      | vel6_1_0 - vel6_1_3      | model1 - model2         | model1 - model2         | vel2_1_0 - vel2_1_3       | vel6_1_0 - vel6_1_3       | model1 - model5      | model1 - model5      |\n| [Waveform Inversion 2](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-2)   | Train-Data        | data3 - data4          | data3 - data4          | seis2_1_4 - seis2_1_7    | seis6_1_4 - seis6_1_7    | data3 - data4           | data3 - data4           | seis2_1_4 - seis2_1_7     | seis6_1_4 - seis6_1_7     | data10 - data9       | data10 - data9       |\n|                                                                                           | Train-Model       | model3 - model4        | model3 - model4        | vel2_1_4 - vel2_1_7      | vel6_1_4 - vel6_1_7      | model3 - model4         | model3 - model4         | vel2_1_4 - vel2_1_7       | vel6_1_4 - vel6_1_7       | model10 - model9     | model10 - model9     |\n| [Waveform Inversion 3](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-3)   | Train-Data        | data5 - data6          | data5 - data6          | seis2_1_10 - seis2_1_9   | seis6_1_10 - seis6_1_9   | data5 - data6           | data5 - data6           | seis2_1_10 - seis2_1_9    | seis6_1_10 - seis6_1_9    | data11 - data15      | data11 - data15      |\n|                                                                                           | Train-Model       | model5 - model6        | model5 - model6        | vel2_1_10 - vel2_1_9     | vel6_1_10 - vel6_1_9     | model5 - model6         | model5 - model6         | vel2_1_10 - vel2_1_9      | vel6_1_10 - vel6_1_9      | model11 - model15    | model11 - model15    |\n| [Waveform Inversion 4](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-4)   | Train-Data        | data7 - data8          | data7 - data8          | seis2_1_12 - seis2_1_15  | seis6_1_12 - seis6_1_15  | data7 - data8           | data7 - data8           | seis2_1_12 - seis2_1_15   | seis6_1_12 - seis6_1_15   | data16 - data20      | data16 - data20      |\n|                                                                                           | Train-Model       | model7 - model8        | model7 - model8        | vel2_1_12 - vel2_1_15    | vel6_1_12 - vel6_1_15    | model7 - model8         | model7 - model8         | vel2_1_12 - vel2_1_15     | vel6_1_12 - vel6_1_15     | model16 - model20    | model16 - model20    |\n| [Waveform Inversion 5](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-5)   | Train-Data        | data10 - data9         | data10 - data9         | seis2_1_16 - seis2_1_19  | seis6_1_16 - seis6_1_19  | data10 - data9          | data10 - data9          | seis2_1_16 - seis2_1_19   | seis6_1_16 - seis6_1_19   | data21 - data25      | data21 - data25      |\n|                                                                                           | Train-Model       | model10 - model9       | model10 - model9       | vel2_1_16 - vel2_1_19    | vel6_1_16 - vel6_1_19    | model10 - model9        | model10 - model9        | vel2_1_16 - vel2_1_19     | vel6_1_16 - vel6_1_19     | model21 - model25    | model21 - model25    |\n| [Waveform Inversion 6](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-6)   | Train-Data        | data11 - data12        | data11 - data12        | seis2_1_20 - seis2_1_23  | seis6_1_20 - seis6_1_23  | data11 - data12         | data11 - data12         | seis2_1_20 - seis2_1_23   | seis6_1_20 - seis6_1_23   | data26 - data30      | data26 - data30      |\n|                                                                                           | Train-Model       | model11 - model12      | model11 - model12      | vel2_1_20 - vel2_1_23    | vel6_1_20 - vel6_1_23    | model11 - model12       | model11 - model12       | vel2_1_20 - vel2_1_23     | vel6_1_20 - vel6_1_23     | model26 - model30    | model26 - model30    |\n| [Waveform Inversion 7](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-7)   | Train-Data        | data13 - data14        | data13 - data14        | seis2_1_24 - seis2_1_27  | seis6_1_24 - seis6_1_27  | data13 - data14         | data13 - data14         | seis2_1_24 - seis2_1_27   | seis6_1_24 - seis6_1_27   | data31 - data35      | data31 - data35      |\n|                                                                                           | Train-Model       | model13 - model14      | model13 - model14      | vel2_1_24 - vel2_1_27    | vel6_1_24 - vel6_1_27    | model13 - model14       | model13 - model14       | vel2_1_24 - vel2_1_27     | vel6_1_24 - vel6_1_27     | model31 - model35    | model31 - model35    |\n| [Waveform Inversion 8](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-8)   | Train-Data        | data15 - data16        | data15 - data16        | seis2_1_28 - seis2_1_31  | seis6_1_28 - seis6_1_31  | data15 - data16         | data15 - data16         | seis2_1_28 - seis2_1_31   | seis6_1_28 - seis6_1_31   | data36 - data40      | data36 - data40      |\n|                                                                                           | Train-Model       | model15 - model16      | model15 - model16      | vel2_1_28 - vel2_1_31    | vel6_1_28 - vel6_1_31    | model15 - model16       | model15 - model16       | vel2_1_28 - vel2_1_31     | vel6_1_28 - vel6_1_31     | model36 - model40    | model36 - model40    |\n| [Waveform Inversion 9](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-9)   | Train-Data        | data17 - data18        | data17 - data18        | seis3_1_0 - seis3_1_3    | seis7_1_0 - seis7_1_3    | data17 - data18         | data17 - data18         | seis3_1_0 - seis3_1_3     | seis7_1_0 - seis7_1_3     | data41 - data45      | data41 - data45      |\n|                                                                                           | Train-Model       | model17 - model18      | model17 - model18      | vel3_1_0 - vel3_1_3      | vel7_1_0 - vel7_1_3      | model17 - model18       | model17 - model18       | vel3_1_0 - vel3_1_3       | vel7_1_0 - vel7_1_3       | model41 - model45    | model41 - model45    |\n| [Waveform Inversion 10](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-10) | Train-Data        | data19 - data20        | data19 - data20        | seis3_1_4 - seis3_1_7    | seis7_1_4 - seis7_1_7    | data19 - data20         | data19 - data20         | seis3_1_4 - seis3_1_7     | seis7_1_4 - seis7_1_7     | data46 - data50      | data46 - data50      |\n|                                                                                           | Train-Model       | model19 - model20      | model19 - model20      | vel3_1_4 - vel3_1_7      | vel7_1_4 - vel7_1_7      | model19 - model20       | model19 - model20       | vel3_1_4 - vel3_1_7       | vel7_1_4 - vel7_1_7       | model46 - model50    | model46 - model50    |\n| [Waveform Inversion 11](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-11) | Train-Data        | data21 - data22        | data21 - data22        | seis3_1_10 - seis3_1_9   | seis7_1_10 - seis7_1_9   | data21 - data22         | data21 - data22         | seis3_1_10 - seis3_1_9    | seis7_1_10 - seis7_1_9    | data51 - data55      | data51 - data55      |\n|                                                                                           | Train-Model       | model21 - model22      | model21 - model22      | vel3_1_10 - vel3_1_9     | vel7_1_10 - vel7_1_9     | model21 - model22       | model21 - model22       | vel3_1_10 - vel3_1_9      | vel7_1_10 - vel7_1_9      | model51 - model55    | model51 - model55    |\n| [Waveform Inversion 12](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-12) | Train-Data        | data23 - data24        | data23 - data24        | seis3_1_12 - seis3_1_15  | seis7_1_12 - seis7_1_15  | data23 - data24         | data23 - data24         | seis3_1_12 - seis3_1_15   | seis7_1_12 - seis7_1_15   | data56 - data60      | data56 - data60      |\n|                                                                                           | Train-Model       | model23 - model24      | model23 - model24      | vel3_1_12 - vel3_1_15    | vel7_1_12 - vel7_1_15    | model23 - model24       | model23 - model24       | vel3_1_12 - vel3_1_15     | vel7_1_12 - vel7_1_15     | model56 - model60    | model56 - model60    |\n| [Waveform Inversion 13](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-13) | Train-Data        | data25 - data26        | data25 - data26        | seis3_1_16 - seis3_1_19  | seis7_1_16 - seis7_1_19  | data25 - data26         | data25 - data26         | seis3_1_16 - seis3_1_19   | seis7_1_16 - seis7_1_19   | data61 - data65      | data61 - data65      |\n|                                                                                           | Train-Model       | model25 - model26      | model25 - model26      | vel3_1_16 - vel3_1_19    | vel7_1_16 - vel7_1_19    | model25 - model26       | model25 - model26       | vel3_1_16 - vel3_1_19     | vel7_1_16 - vel7_1_19     | model61 - model65    | model61 - model65    |\n| [Waveform Inversion 14](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-14) | Train-Data        | data27 - data28        | data27 - data28        | seis3_1_20 - seis3_1_23  | seis7_1_20 - seis7_1_23  | data27 - data28         | data27 - data28         | seis3_1_20 - seis3_1_23   | seis7_1_20 - seis7_1_23   | data66 - data70      | data66 - data70      |\n|                                                                                           | Train-Model       | model27 - model28      | model27 - model28      | vel3_1_20 - vel3_1_23    | vel7_1_20 - vel7_1_23    | model27 - model28       | model27 - model28       | vel3_1_20 - vel3_1_23     | vel7_1_20 - vel7_1_23     | model66 - model70    | model66 - model70    |\n| [Waveform Inversion 15](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-15) | Train-Data        | data29 - data30        | data29 - data30        | seis3_1_24 - seis3_1_27  | seis7_1_24 - seis7_1_27  | data29 - data30         | data29 - data30         | seis3_1_24 - seis3_1_27   | seis7_1_24 - seis7_1_27   | data71 - data75      | data71 - data75      |\n|                                                                                           | Train-Model       | model29 - model30      | model29 - model30      | vel3_1_24 - vel3_1_27    | vel7_1_24 - vel7_1_27    | model29 - model30       | model29 - model30       | vel3_1_24 - vel3_1_27     | vel7_1_24 - vel7_1_27     | model71 - model75    | model71 - model75    |\n| [Waveform Inversion 16](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-16) | Train-Data        | data31 - data32        | data31 - data32        | seis3_1_28 - seis3_1_31  | seis7_1_28 - seis7_1_31  | data31 - data32         | data31 - data32         | seis3_1_28 - seis3_1_31   | seis7_1_28 - seis7_1_31   | data76 - data80      | data76 - data80      |\n|                                                                                           | Train-Model       | model31 - model32      | model31 - model32      | vel3_1_28 - vel3_1_31    | vel7_1_28 - vel7_1_31    | model31 - model32       | model31 - model32       | vel3_1_28 - vel3_1_31     | vel7_1_28 - vel7_1_31     | model76 - model80    | model76 - model80    |\n| [Waveform Inversion 17](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-17) | Train-Data        | data33 - data34        | data33 - data34        | seis4_1_0 - seis4_1_3    | seis8_1_0 - seis8_1_3    | data33 - data34         | data33 - data34         | seis4_1_0 - seis4_1_3     | seis8_1_0 - seis8_1_3     | data81 - data85      | data81 - data85      |\n|                                                                                           | Train-Model       | model33 - model34      | model33 - model34      | vel4_1_0 - vel4_1_3      | vel8_1_0 - vel8_1_3      | model33 - model34       | model33 - model34       | vel4_1_0 - vel4_1_3       | vel8_1_0 - vel8_1_3       | model81 - model85    | model81 - model85    |\n| [Waveform Inversion 18](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-18) | Train-Data        | data35 - data36        | data35 - data36        | seis4_1_4 - seis4_1_7    | seis8_1_4 - seis8_1_7    | data35 - data36         | data35 - data36         | seis4_1_4 - seis4_1_7     | seis8_1_4 - seis8_1_7     | data86 - data90      | data86 - data90      |\n|                                                                                           | Train-Model       | model35 - model36      | model35 - model36      | vel4_1_4 - vel4_1_7      | vel8_1_4 - vel8_1_7      | model35 - model36       | model35 - model36       | vel4_1_4 - vel4_1_7       | vel8_1_4 - vel8_1_7       | model86 - model90    | model86 - model90    |\n| [Waveform Inversion 19](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-19) | Train-Data        | data37 - data38        | data37 - data38        | seis4_1_10 - seis4_1_9   | seis8_1_10 - seis8_1_9   | data37 - data38         | data37 - data38         | seis4_1_10 - seis4_1_9    | seis8_1_10 - seis8_1_9    | data91 - data95      | data91 - data95      |\n|                                                                                           | Train-Model       | model37 - model38      | model37 - model38      | vel4_1_10 - vel4_1_9     | vel8_1_10 - vel8_1_9     | model37 - model38       | model37 - model38       | vel4_1_10 - vel4_1_9      | vel8_1_10 - vel8_1_9      | model91 - model95    | model91 - model95    |\n| [Waveform Inversion 20](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-20) | Train-Data        | data39 - data40        | data39 - data40        | seis4_1_12 - seis4_1_15  | seis8_1_12 - seis8_1_15  | data39 - data40         | data39 - data40         | seis4_1_12 - seis4_1_15   | seis8_1_12 - seis8_1_15   | data100 - data99     | data100 - data99     |\n|                                                                                           | Train-Model       | model39 - model40      | model39 - model40      | vel4_1_12 - vel4_1_15    | vel8_1_12 - vel8_1_15    | model39 - model40       | model39 - model40       | vel4_1_12 - vel4_1_15     | vel8_1_12 - vel8_1_15     | model100 - model99   | model100 - model99   |\n| [Waveform Inversion 21](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-21) | Train-Data        | data41 - data42        | data41 - data42        | seis4_1_16 - seis4_1_19  | seis8_1_16 - seis8_1_19  | data41 - data42         | data41 - data42         | seis4_1_16 - seis4_1_19   | seis8_1_16 - seis8_1_19   | data101 - data105    | data101 - data105    |\n|                                                                                           | Train-Model       | model41 - model42      | model41 - model42      | vel4_1_16 - vel4_1_19    | vel8_1_16 - vel8_1_19    | model41 - model42       | model41 - model42       | vel4_1_16 - vel4_1_19     | vel8_1_16 - vel8_1_19     | model101 - model105  | model101 - model105  |\n| [Waveform Inversion 22](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-22) | Train-Data        | data43 - data44        | data43 - data44        | seis4_1_20 - seis4_1_23  | seis8_1_20 - seis8_1_23  | data43 - data44         | data43 - data44         | seis4_1_20 - seis4_1_23   | seis8_1_20 - seis8_1_23   | data106 - data110    | data106 - data110    |\n|                                                                                           | Train-Model       | model43 - model44      | model43 - model44      | vel4_1_20 - vel4_1_23    | vel8_1_20 - vel8_1_23    | model43 - model44       | model43 - model44       | vel4_1_20 - vel4_1_23     | vel8_1_20 - vel8_1_23     | model106 - model110  | model106 - model110  |\n| [Waveform Inversion 23](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-23) | Train-Data        | data45 - data46        | data45 - data46        | seis4_1_24 - seis4_1_27  | seis8_1_24 - seis8_1_27  | data45 - data46         | data45 - data46         | seis4_1_24 - seis4_1_27   | seis8_1_24 - seis8_1_27   | data111 - data115    | data111 - data115    |\n|                                                                                           | Train-Model       | model45 - model46      | model45 - model46      | vel4_1_24 - vel4_1_27    | vel8_1_24 - vel8_1_27    | model45 - model46       | model45 - model46       | vel4_1_24 - vel4_1_27     | vel8_1_24 - vel8_1_27     | model111 - model115  | model111 - model115  |\n| [Waveform Inversion 24](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-24) | Train-Data        | data47 - data48        | data47 - data48        | seis4_1_28 - seis4_1_31  | seis8_1_28 - seis8_1_31  | data47 - data48         | data47 - data48         | seis4_1_28 - seis4_1_31   | seis8_1_28 - seis8_1_31   | data116 - data120    | data116 - data120    |\n|                                                                                           | Train-Model       | model47 - model48      | model47 - model48      | vel4_1_28 - vel4_1_31    | vel8_1_28 - vel8_1_31    | model47 - model48       | model47 - model48       | vel4_1_28 - vel4_1_31     | vel8_1_28 - vel8_1_31     | model116 - model120  | model116 - model120  |\n| [Waveform Inversion 25](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-25) | Val-Data          | data49 - data50        | data49 - data50        | seis2_1_32 - seis2_1_35  | seis6_1_32 - seis6_1_35  | data49 - data50         | data49 - data50         | seis2_1_32 - seis2_1_35   | seis6_1_32 - seis6_1_35   | data121 - data125    | data121 - data125    |\n|                                                                                           | Val-Model         | model49 - model50      | model49 - model50      | vel2_1_32 - vel2_1_35    | vel6_1_32 - vel6_1_35    | model49 - model50       | model49 - model50       | vel2_1_32 - vel2_1_35     | vel6_1_32 - vel6_1_35     | model121 - model125  | model121 - model125  |\n| [Waveform Inversion 26](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-26) | Val-Data          | data51 - data52        | data51 - data52        | seis3_1_32 - seis3_1_35  | seis7_1_32 - seis7_1_35  | data51 - data52         | data51 - data52         | seis3_1_32 - seis3_1_35   | seis7_1_32 - seis7_1_35   | data126 - data130    | data126 - data130    |\n|                                                                                           | Val-Model         | model51 - model52      | model51 - model52      | vel3_1_32 - vel3_1_35    | vel7_1_32 - vel7_1_35    | model51 - model52       | model51 - model52       | vel3_1_32 - vel3_1_35     | vel7_1_32 - vel7_1_35     | model126 - model130  | model126 - model130  |\n| [Waveform Inversion 27](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-27) | Val-Data          | data53 - data54        | data53 - data54        | seis4_1_32 - seis4_1_35  | seis8_1_32 - seis8_1_35  | data53 - data54         | data53 - data54         | seis4_1_32 - seis4_1_35   | seis8_1_32 - seis8_1_35   | data131 - data134    | data131 - data134    |\n|                                                                                           | Val-Model         | model53 - model54      | model53 - model54      | vel4_1_32 - vel4_1_35    | vel8_1_32 - vel8_1_35    | model53 - model54       | model53 - model54       | vel4_1_32 - vel4_1_35     | vel8_1_32 - vel8_1_35     | model131 - model134  | model131 - model134  |\n| [Waveform Inversion 28](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-28) | Extra-Data        | data55 - data56        | data55 - data56        |                          |                          | data55 - data56         | data55 - data56         |                           |                           |                      |                      |\n|                                                                                           | Extra-Model       | model55 - model56      | model55 - model56      |                          |                          | model55 - model56       | model55 - model56       |                           |                           |                      |                      |\n| [Waveform Inversion 29](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-29) | Extra-Data        | data57 - data58        | data57 - data58        |                          |                          | data57 - data58         | data57 - data58         |                           |                           |                      |                      |\n|                                                                                           | Extra-Model       | model57 - model58      | model57 - model58      |                          |                          | model57 - model58       | model57 - model58       |                           |                           |                      |                      |\n| [Waveform Inversion 30](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-30) | Extra-Data        | data59 - data60        | data59 - data60        |                          |                          | data59 - data60         | data59 - data60         |                           |                           |                      |                      |\n|                                                                                           | Extra-Model       | model59 - model60      | model59 - model60      |                          |                          | model59 - model60       | model59 - model60       |                           |                           |                      |                      |",
      "votes": 53
    },
    {
      "id": 3178346,
      "postDate": "2025-04-14T04:06:15.120Z",
      "content": "<p>Hello there,</p>\n<p>Thank you <a href=\"https://www.kaggle.com/seshurajup\" target=\"_blank\">@seshurajup</a> for putting data on Kaggle<br>\nWe have pushed data to Huggingface.  <a href=\"https://huggingface.co/datasets/ashynf/OpenFWI\" target=\"_blank\">https://huggingface.co/datasets/ashynf/OpenFWI</a><br>\nSorry for the inconvenience.</p>\n<p>Best,<br>\nThe Waveform Inversion Team</p>",
      "rawMarkdown": "Hello there,\n\nThank you @seshurajup for putting data on Kaggle\nWe have pushed data to Huggingface.  https://huggingface.co/datasets/ashynf/OpenFWI\nSorry for the inconvenience.\n\nBest,\nThe Waveform Inversion Team",
      "votes": 4,
      "replies": [
        {
          "id": 3178349,
          "postDate": "2025-04-14T04:15:05.843Z",
          "content": "<p>Thanks, Updated the topic with Hugging face link <a href=\"https://www.kaggle.com/yinanfeng\" target=\"_blank\">@yinanfeng</a> too</p>",
          "rawMarkdown": "Thanks, Updated the topic with Hugging face link @yinanfeng too"
        },
        {
          "id": 3183760,
          "postDate": "2025-04-21T08:48:59.687Z",
          "content": "<p>I was having trouble downloading from the Kaggle API because of an error, but I was able to download it successfully from the Hagging face. Thank you very much.</p>",
          "rawMarkdown": "I was having trouble downloading from the Kaggle API because of an error, but I was able to download it successfully from the Hagging face. Thank you very much."
        }
      ]
    },
    {
      "id": 3177617,
      "postDate": "2025-04-13T03:54:32.123Z",
      "content": "<p>I am confused, does this mean the data available in the data tab of this competition is only a part of the data ? </p>",
      "rawMarkdown": "I am confused, does this mean the data available in the data tab of this competition is only a part of the data ? ",
      "votes": 1,
      "replies": [
        {
          "id": 3177632,
          "postDate": "2025-04-13T04:40:18.403Z",
          "content": "<p>yes <a href=\"https://www.kaggle.com/skaarface\" target=\"_blank\">@skaarface</a> , only 14G out of 670G train data available in competition dataset.</p>",
          "rawMarkdown": "yes @skaarface , only 14G out of 670G train data available in competition dataset.",
          "votes": 1,
          "replies": [
            {
              "id": 3178343,
              "postDate": "2025-04-14T03:56:04.110Z",
              "content": "<p>Oh wow. Can the kaggle kernel load such a large dataset ? </p>",
              "rawMarkdown": "Oh wow. Can the kaggle kernel load such a large dataset ? "
            },
            {
              "id": 3178465,
              "postDate": "2025-04-14T08:10:30.547Z",
              "content": "<p>Oh wow. Can the kaggle kernel load such a large dataset ?</p>\n<blockquote>\n  <p><a href=\"https://www.kaggle.com/skaarface\" target=\"_blank\">@skaarface</a>  - trained 670G dataset for 4 epochs in the following notebook</p>\n</blockquote>",
              "rawMarkdown": "Oh wow. Can the kaggle kernel load such a large dataset ?\n> @skaarface  - trained 670G dataset for 4 epochs in the following notebook"
            }
          ]
        }
      ]
    },
    {
      "id": 3177328,
      "postDate": "2025-04-12T15:30:27.930Z",
      "content": "<p>Thanks for sharing. It seems that Waveform Inversion 5 is broken.</p>",
      "rawMarkdown": "Thanks for sharing. It seems that Waveform Inversion 5 is broken.",
      "votes": 1,
      "replies": [
        {
          "id": 3177341,
          "postDate": "2025-04-12T15:53:27.683Z",
          "content": "<p><a href=\"https://www.kaggle.com/yuanzhezhou\" target=\"_blank\">@yuanzhezhou</a> Yes, i changed private to public - now it will work fine. Thanks</p>",
          "rawMarkdown": "@yuanzhezhou Yes, i changed private to public - now it will work fine. Thanks",
          "votes": 2
        }
      ]
    },
    {
      "id": 3177279,
      "postDate": "2025-04-12T14:21:51.867Z",
      "content": "<p>Very helpful, I'm just in trouble with downloading dataset, thanks a lot!</p>",
      "rawMarkdown": "Very helpful, I'm just in trouble with downloading dataset, thanks a lot!",
      "votes": 1
    },
    {
      "id": 3177471,
      "postDate": "2025-04-12T19:54:52.703Z",
      "content": "<blockquote>\n  <h1><a href=\"https://www.kaggle.com/code/seshurajup/openfwi-train-inversionnet/notebook?scriptVersionId=233524074\" target=\"_blank\">Training OpenFWI InversionNet Notebook with Kaggle Datasets</a> -- updated</h1>\n  <p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F621626b7af7f331b422da7baf2f7d104%2F1.png?generation=1744487669778191&amp;alt=media\" alt=\"\"></p>\n</blockquote>",
      "rawMarkdown": "> # [Training OpenFWI InversionNet Notebook with Kaggle Datasets](https://www.kaggle.com/code/seshurajup/openfwi-train-inversionnet/notebook?scriptVersionId=233524074) -- updated\n> ![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F621626b7af7f331b422da7baf2f7d104%2F1.png?generation=1744487669778191&alt=media)\n",
      "votes": 2
    },
    {
      "id": 3176989,
      "postDate": "2025-04-12T03:42:21.200Z",
      "content": "<p><a href=\"https://www.kaggle.com/hanchenwang114\" target=\"_blank\">@hanchenwang114</a> </p>\n<blockquote>\n  <p>Sorry, you can't view or download this file at this time.</p>\n  <p>Too many users have viewed or downloaded this file recently. Please try accessing the file again later. If the file you are trying to access is particularly large or is shared with many people, it may take up to 24 hours to be able to view or download the file. If you still can't access a file after 24 hours, contact your domain administrator.</p>\n</blockquote>",
      "rawMarkdown": "@hanchenwang114 \n\n> Sorry, you can't view or download this file at this time.\n\n> Too many users have viewed or downloaded this file recently. Please try accessing the file again later. If the file you are trying to access is particularly large or is shared with many people, it may take up to 24 hours to be able to view or download the file. If you still can't access a file after 24 hours, contact your domain administrator.",
      "votes": 2,
      "replies": [
        {
          "id": 3177264,
          "postDate": "2025-04-12T14:01:11.427Z",
          "content": "<p>lol. Putting files for a Kaggle competition on google drive…sigh.</p>",
          "rawMarkdown": "lol. Putting files for a Kaggle competition on google drive...sigh.",
          "votes": 1,
          "replies": [
            {
              "id": 3177267,
              "postDate": "2025-04-12T14:04:37.817Z",
              "content": "<blockquote>\n  <p><a href=\"https://www.kaggle.com/shlomoron\" target=\"_blank\">@shlomoron</a> - added complete OpenFWI as Kaggle datasets now. </p>\n  <ul>\n  <li>Now we can eliminate google download limits !!</li>\n  </ul>\n</blockquote>",
              "rawMarkdown": "> @shlomoron - added complete OpenFWI as Kaggle datasets now. \n> - Now we can eliminate google download limits !!",
              "votes": 2
            }
          ]
        }
      ]
    },
    {
      "id": 3175067,
      "postDate": "2025-04-09T17:28:49.917Z",
      "content": "<p>Hello there,</p>\n<p>We will see what we can do with pushing data to Huggingface. Currently, OpenFWI dataset is only available on the provided Google Drive link. Sorry for the inconvenience.</p>\n<p>Best,<br>\nThe Waveform Inversion Team</p>",
      "rawMarkdown": "Hello there,\n\nWe will see what we can do with pushing data to Huggingface. Currently, OpenFWI dataset is only available on the provided Google Drive link. Sorry for the inconvenience.\n\nBest,\nThe Waveform Inversion Team",
      "votes": 2,
      "replies": [
        {
          "id": 3175077,
          "postDate": "2025-04-09T17:37:40.720Z",
          "content": "<p>Thanks, <a href=\"https://www.kaggle.com/hanchenwang114\" target=\"_blank\">@hanchenwang114</a>.</p>",
          "rawMarkdown": "Thanks, @hanchenwang114."
        },
        {
          "id": 3177274,
          "postDate": "2025-04-12T14:18:43.193Z",
          "content": "<p><a href=\"https://www.kaggle.com/hanchenwang114\" target=\"_blank\">@hanchenwang114</a> is this license fine for it? - <a href=\"https://creativecommons.org/publicdomain/zero/1.0/\" target=\"_blank\">https://creativecommons.org/publicdomain/zero/1.0/</a> for the Kaggle dataset?</p>",
          "rawMarkdown": "@hanchenwang114 is this license fine for it? - https://creativecommons.org/publicdomain/zero/1.0/ for the Kaggle dataset?",
          "replies": [
            {
              "id": 3177308,
              "postDate": "2025-04-12T14:54:06.447Z",
              "content": "<p>Thank you for uploading the dataset. For OpenFWI, we use the following license <a href=\"https://creativecommons.org/licenses/by-nc-sa/4.0/\" target=\"_blank\">https://creativecommons.org/licenses/by-nc-sa/4.0/</a></p>",
              "rawMarkdown": "Thank you for uploading the dataset. For OpenFWI, we use the following license https://creativecommons.org/licenses/by-nc-sa/4.0/",
              "votes": 2
            },
            {
              "id": 3177359,
              "postDate": "2025-04-12T16:14:51.147Z",
              "content": "<p><a href=\"https://www.kaggle.com/yinanfeng\" target=\"_blank\">@yinanfeng</a> updated all datasets license to <a href=\"https://creativecommons.org/licenses/by-nc-sa/4.0/\" target=\"_blank\">https://creativecommons.org/licenses/by-nc-sa/4.0/</a></p>",
              "rawMarkdown": "@yinanfeng updated all datasets license to [https://creativecommons.org/licenses/by-nc-sa/4.0/](https://creativecommons.org/licenses/by-nc-sa/4.0/)",
              "votes": 1
            }
          ]
        }
      ]
    },
    {
      "id": 3210522,
      "postDate": "2025-05-27T10:14:56.683Z",
      "content": "<p><a href=\"https://www.kaggle.com/skaarface\" target=\"_blank\">@skaarface</a> Thanks for sharing the information. I find the dataset cost 86G when i use \"kaggle competitions download -c waveform-inversion\" to download dataset, seems not 14G, why you said this competition just use 14G data? Do you mind explain? thank you</p>",
      "rawMarkdown": "@skaarface Thanks for sharing the information. I find the dataset cost 86G when i use \"kaggle competitions download -c waveform-inversion\" to download dataset, seems not 14G, why you said this competition just use 14G data? Do you mind explain? thank you\n",
      "replies": [
        {
          "id": 3210572,
          "postDate": "2025-05-27T11:50:04.997Z",
          "content": "<p>most of them are testing data</p>",
          "rawMarkdown": "most of them are testing data"
        }
      ]
    },
    {
      "id": 3209063,
      "postDate": "2025-05-25T07:08:02.050Z",
      "content": "<p>I am considering to use full OpenFWI dataset to scale up my model but concerning the data leaking problem at the same time. </p>\n<p>Is the competition testing set independent to OpenFWI?</p>",
      "rawMarkdown": "I am considering to use full OpenFWI dataset to scale up my model but concerning the data leaking problem at the same time. \n\nIs the competition testing set independent to OpenFWI?",
      "replies": [
        {
          "id": 3209134,
          "postDate": "2025-05-25T09:41:58.253Z",
          "content": "<p>Yes, its freshly generated data</p>",
          "rawMarkdown": "Yes, its freshly generated data",
          "votes": 1
        }
      ]
    },
    {
      "id": 3178504,
      "postDate": "2025-04-14T09:13:17.403Z",
      "content": "<h1><a href=\"https://www.kaggle.com/code/seshurajup/openfwi-hgnet-train-with-670g\" target=\"_blank\">OpenFWI HgNet [Train] with 670G Kaggle Datasets</a> - 1 epoch - 1 hour</h1>\n<blockquote>\n  <p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F29abb6c11501446345a147792e4a8f73%2FScreenshot%202025-04-14%20at%201.50.06PM.png?generation=1744618887612399&amp;alt=media\" alt=\"\"></p>\n  <ul>\n  <li>HgNet training with mixed dataset</li>\n  <li>Using GPU T4 x2</li>\n  <li>average of l2 + l1 loss</li>\n  <li><strong>Each epoch took 1 hour on Kaggle GPU T4 x2 using HgNet with 670G training and 1st files as CV</strong></li>\n  </ul>\n</blockquote>",
      "rawMarkdown": "# [OpenFWI HgNet [Train] with 670G Kaggle Datasets](https://www.kaggle.com/code/seshurajup/openfwi-hgnet-train-with-670g) - 1 epoch - 1 hour\n> ![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F29abb6c11501446345a147792e4a8f73%2FScreenshot%202025-04-14%20at%201.50.06PM.png?generation=1744618887612399&alt=media)\n> * HgNet training with mixed dataset\n> * Using GPU T4 x2\n> * average of l2 + l1 loss\n> * **Each epoch took 1 hour on Kaggle GPU T4 x2 using HgNet with 670G training and 1st files as CV**\n"
    },
    {
      "id": 3177619,
      "postDate": "2025-04-13T04:07:39.730Z",
      "content": "<p>So only way to win is to give up  the process that you used? </p>",
      "rawMarkdown": "So only way to win is to give up  the process that you used? "
    },
    {
      "id": 3189028,
      "postDate": "2025-04-28T16:25:08.117Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 3178346,
      "author_name": "Yinan Feng",
      "author_url": "",
      "post_date": "2025-04-14T04:06:15.120000",
      "content": "<p>Hello there,</p>\n<p>Thank you <a href=\"https://www.kaggle.com/seshurajup\" target=\"_blank\">@seshurajup</a> for putting data on Kaggle<br>\nWe have pushed data to Huggingface.  <a href=\"https://huggingface.co/datasets/ashynf/OpenFWI\" target=\"_blank\">https://huggingface.co/datasets/ashynf/OpenFWI</a><br>\nSorry for the inconvenience.</p>\n<p>Best,<br>\nThe Waveform Inversion Team</p>",
      "votes": 4,
      "replies": [
        {
          "id": 3178349,
          "author_name": "SeshuRaju 🧘‍♂️",
          "author_url": "",
          "post_date": "2025-04-14T04:15:05.843000",
          "content": "<p>Thanks, Updated the topic with Hugging face link <a href=\"https://www.kaggle.com/yinanfeng\" target=\"_blank\">@yinanfeng</a> too</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 3183760,
          "author_name": "OV104",
          "author_url": "",
          "post_date": "2025-04-21T08:48:59.687000",
          "content": "<p>I was having trouble downloading from the Kaggle API because of an error, but I was able to download it successfully from the Hagging face. Thank you very much.</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 3177617,
      "author_name": "Aditya Anil",
      "author_url": "",
      "post_date": "2025-04-13T03:54:32.123000",
      "content": "<p>I am confused, does this mean the data available in the data tab of this competition is only a part of the data ? </p>",
      "votes": 1,
      "replies": [
        {
          "id": 3177632,
          "author_name": "SeshuRaju 🧘‍♂️",
          "author_url": "",
          "post_date": "2025-04-13T04:40:18.403000",
          "content": "<p>yes <a href=\"https://www.kaggle.com/skaarface\" target=\"_blank\">@skaarface</a> , only 14G out of 670G train data available in competition dataset.</p>",
          "votes": 1,
          "replies": [
            {
              "id": 3178343,
              "author_name": "Aditya Anil",
              "author_url": "",
              "post_date": "2025-04-14T03:56:04.110000",
              "content": "<p>Oh wow. Can the kaggle kernel load such a large dataset ? </p>",
              "votes": 0,
              "replies": []
            },
            {
              "id": 3178465,
              "author_name": "SeshuRaju 🧘‍♂️",
              "author_url": "",
              "post_date": "2025-04-14T08:10:30.547000",
              "content": "<p>Oh wow. Can the kaggle kernel load such a large dataset ?</p>\n<blockquote>\n  <p><a href=\"https://www.kaggle.com/skaarface\" target=\"_blank\">@skaarface</a>  - trained 670G dataset for 4 epochs in the following notebook</p>\n</blockquote>",
              "votes": 0,
              "replies": []
            }
          ]
        }
      ]
    },
    {
      "id": 3177328,
      "author_name": "yuanzhe zhou",
      "author_url": "",
      "post_date": "2025-04-12T15:30:27.930000",
      "content": "<p>Thanks for sharing. It seems that Waveform Inversion 5 is broken.</p>",
      "votes": 1,
      "replies": [
        {
          "id": 3177341,
          "author_name": "SeshuRaju 🧘‍♂️",
          "author_url": "",
          "post_date": "2025-04-12T15:53:27.683000",
          "content": "<p><a href=\"https://www.kaggle.com/yuanzhezhou\" target=\"_blank\">@yuanzhezhou</a> Yes, i changed private to public - now it will work fine. Thanks</p>",
          "votes": 2,
          "replies": []
        }
      ]
    },
    {
      "id": 3177279,
      "author_name": "嘴爷",
      "author_url": "",
      "post_date": "2025-04-12T14:21:51.867000",
      "content": "<p>Very helpful, I'm just in trouble with downloading dataset, thanks a lot!</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 3177471,
      "author_name": "SeshuRaju 🧘‍♂️",
      "author_url": "",
      "post_date": "2025-04-12T19:54:52.703000",
      "content": "<blockquote>\n  <h1><a href=\"https://www.kaggle.com/code/seshurajup/openfwi-train-inversionnet/notebook?scriptVersionId=233524074\" target=\"_blank\">Training OpenFWI InversionNet Notebook with Kaggle Datasets</a> -- updated</h1>\n  <p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F621626b7af7f331b422da7baf2f7d104%2F1.png?generation=1744487669778191&amp;alt=media\" alt=\"\"></p>\n</blockquote>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 3176989,
      "author_name": "SeshuRaju 🧘‍♂️",
      "author_url": "",
      "post_date": "2025-04-12T03:42:21.200000",
      "content": "<p><a href=\"https://www.kaggle.com/hanchenwang114\" target=\"_blank\">@hanchenwang114</a> </p>\n<blockquote>\n  <p>Sorry, you can't view or download this file at this time.</p>\n  <p>Too many users have viewed or downloaded this file recently. Please try accessing the file again later. If the file you are trying to access is particularly large or is shared with many people, it may take up to 24 hours to be able to view or download the file. If you still can't access a file after 24 hours, contact your domain administrator.</p>\n</blockquote>",
      "votes": 2,
      "replies": [
        {
          "id": 3177264,
          "author_name": "greySnow",
          "author_url": "",
          "post_date": "2025-04-12T14:01:11.427000",
          "content": "<p>lol. Putting files for a Kaggle competition on google drive…sigh.</p>",
          "votes": 1,
          "replies": [
            {
              "id": 3177267,
              "author_name": "SeshuRaju 🧘‍♂️",
              "author_url": "",
              "post_date": "2025-04-12T14:04:37.817000",
              "content": "<blockquote>\n  <p><a href=\"https://www.kaggle.com/shlomoron\" target=\"_blank\">@shlomoron</a> - added complete OpenFWI as Kaggle datasets now. </p>\n  <ul>\n  <li>Now we can eliminate google download limits !!</li>\n  </ul>\n</blockquote>",
              "votes": 2,
              "replies": []
            }
          ]
        }
      ]
    },
    {
      "id": 3175067,
      "author_name": "Hanchen Wang",
      "author_url": "",
      "post_date": "2025-04-09T17:28:49.917000",
      "content": "<p>Hello there,</p>\n<p>We will see what we can do with pushing data to Huggingface. Currently, OpenFWI dataset is only available on the provided Google Drive link. Sorry for the inconvenience.</p>\n<p>Best,<br>\nThe Waveform Inversion Team</p>",
      "votes": 2,
      "replies": [
        {
          "id": 3175077,
          "author_name": "SeshuRaju 🧘‍♂️",
          "author_url": "",
          "post_date": "2025-04-09T17:37:40.720000",
          "content": "<p>Thanks, <a href=\"https://www.kaggle.com/hanchenwang114\" target=\"_blank\">@hanchenwang114</a>.</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 3177274,
          "author_name": "SeshuRaju 🧘‍♂️",
          "author_url": "",
          "post_date": "2025-04-12T14:18:43.193000",
          "content": "<p><a href=\"https://www.kaggle.com/hanchenwang114\" target=\"_blank\">@hanchenwang114</a> is this license fine for it? - <a href=\"https://creativecommons.org/publicdomain/zero/1.0/\" target=\"_blank\">https://creativecommons.org/publicdomain/zero/1.0/</a> for the Kaggle dataset?</p>",
          "votes": 0,
          "replies": [
            {
              "id": 3177308,
              "author_name": "Yinan Feng",
              "author_url": "",
              "post_date": "2025-04-12T14:54:06.447000",
              "content": "<p>Thank you for uploading the dataset. For OpenFWI, we use the following license <a href=\"https://creativecommons.org/licenses/by-nc-sa/4.0/\" target=\"_blank\">https://creativecommons.org/licenses/by-nc-sa/4.0/</a></p>",
              "votes": 2,
              "replies": []
            },
            {
              "id": 3177359,
              "author_name": "SeshuRaju 🧘‍♂️",
              "author_url": "",
              "post_date": "2025-04-12T16:14:51.147000",
              "content": "<p><a href=\"https://www.kaggle.com/yinanfeng\" target=\"_blank\">@yinanfeng</a> updated all datasets license to <a href=\"https://creativecommons.org/licenses/by-nc-sa/4.0/\" target=\"_blank\">https://creativecommons.org/licenses/by-nc-sa/4.0/</a></p>",
              "votes": 1,
              "replies": []
            }
          ]
        }
      ]
    },
    {
      "id": 3210522,
      "author_name": "cswwp",
      "author_url": "",
      "post_date": "2025-05-27T10:14:56.683000",
      "content": "<p><a href=\"https://www.kaggle.com/skaarface\" target=\"_blank\">@skaarface</a> Thanks for sharing the information. I find the dataset cost 86G when i use \"kaggle competitions download -c waveform-inversion\" to download dataset, seems not 14G, why you said this competition just use 14G data? Do you mind explain? thank you</p>",
      "votes": 0,
      "replies": [
        {
          "id": 3210572,
          "author_name": "TsaiTang00124",
          "author_url": "",
          "post_date": "2025-05-27T11:50:04.997000",
          "content": "<p>most of them are testing data</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 3209063,
      "author_name": "TsaiTang00124",
      "author_url": "",
      "post_date": "2025-05-25T07:08:02.050000",
      "content": "<p>I am considering to use full OpenFWI dataset to scale up my model but concerning the data leaking problem at the same time. </p>\n<p>Is the competition testing set independent to OpenFWI?</p>",
      "votes": 0,
      "replies": [
        {
          "id": 3209134,
          "author_name": "Sebastian Hoffmann",
          "author_url": "",
          "post_date": "2025-05-25T09:41:58.253000",
          "content": "<p>Yes, its freshly generated data</p>",
          "votes": 1,
          "replies": []
        }
      ]
    },
    {
      "id": 3178504,
      "author_name": "SeshuRaju 🧘‍♂️",
      "author_url": "",
      "post_date": "2025-04-14T09:13:17.403000",
      "content": "<h1><a href=\"https://www.kaggle.com/code/seshurajup/openfwi-hgnet-train-with-670g\" target=\"_blank\">OpenFWI HgNet [Train] with 670G Kaggle Datasets</a> - 1 epoch - 1 hour</h1>\n<blockquote>\n  <p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F29abb6c11501446345a147792e4a8f73%2FScreenshot%202025-04-14%20at%201.50.06PM.png?generation=1744618887612399&amp;alt=media\" alt=\"\"></p>\n  <ul>\n  <li>HgNet training with mixed dataset</li>\n  <li>Using GPU T4 x2</li>\n  <li>average of l2 + l1 loss</li>\n  <li><strong>Each epoch took 1 hour on Kaggle GPU T4 x2 using HgNet with 670G training and 1st files as CV</strong></li>\n  </ul>\n</blockquote>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 3177619,
      "author_name": "Timmy Underwood",
      "author_url": "",
      "post_date": "2025-04-13T04:07:39.730000",
      "content": "<p>So only way to win is to give up  the process that you used? </p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 3189028,
      "author_name": "",
      "author_url": "",
      "post_date": "2025-04-28T16:25:08.117000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3174867": "~~is possible OpenFWI datasets available on Kaggle or Huggingface?~~\n> is possible OpenFWI datasets available on Kaggle or Huggingface?  as downloading from google driver large files not working well with command line tools - any suggestion? @hanchenwang114\n\n---\n\n# [OpenFWI InversionNet [Train] with 670G Kaggle Datasets](https://www.kaggle.com/code/seshurajup/openfwi-train-inversionnet/notebook?scriptVersionId=233524074)\n>  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F621626b7af7f331b422da7baf2f7d104%2F1.png?generation=1744487669778191&alt=media)\n> * InversionNet training with mixed datasets\n> * Training part 1 with 20% of 500 samples - training on Kaggle notebook ~ 17mins ( major bottleneck cpu then gpu )\n> * Source from [OpenFWI-Tutorial.ipynb](https://colab.research.google.com/drive/17s5JmVs9ABl8MpmFlhWMSslj9_d5Atfx?usp=sharing#scrollTo=CF8qxejVgrla)\n\n-\n\n# [OpenFWI HgNet [Train] with 670G Kaggle Datasets](https://www.kaggle.com/code/seshurajup/openfwi-hgnet-train-with-670g) - 1 Epoch 1 Hour on GPU T4 x2\n> ![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F29abb6c11501446345a147792e4a8f73%2FScreenshot%202025-04-14%20at%201.50.06PM.png?generation=1744618887612399&alt=media)\n> * HgNet training with mixed dataset\n> * Using GPU T4 x2\n> * average of l2 + l1 loss\n> * **Each epoch took 1 hour on Kaggle GPU T4 x2 using HgNet with 670G training and 1st files as CV**\n> * Soruce from [HgNet-Training & Inference](https://www.kaggle.com/code/i2nfinit3y/hgnet-training-inference)\n\n---\n\n\n\n# [Huggingface 670G Dataset](https://huggingface.co/datasets/ashynf/OpenFWI) - Host added\n\n---\n\n# [Kaggle OpenFWI Datasets Metadata of all datasets](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-metadata)\n\n---\n\n# Kaggle OpenFWI Datasets - Upvote if it useful (670G)\n> **Train, Val splits follow same distribution as OpenFWI distribution**\n> **To clarify, the test set used in this competition follows the similar distribution as the original OpenFWI dataset. It was generated using the same simulation code and hyperparameters as the training data. -  [Author conformed about distribution](https://www.kaggle.com/competitions/waveform-inversion/discussion/572334#3175071)**\n\n| Name/Link                                                                                 | Train Val Extra   | FlatVel_A Data/Model   | FlatVel_B Data/Model   | FlatFault_A Data/Model   | FlatFault_B Data/Model   | CurveVel_A Data/Model   | CurveVel_B Data/Model   | CurveFault_A Data/Model   | CurveFault_B Data/Model   | Style_A Data/Model   | Style_B Data/Model   |\n|:------------------------------------------------------------------------------------------|:------------------|:-----------------------|:-----------------------|:-------------------------|:-------------------------|:------------------------|:------------------------|:--------------------------|:--------------------------|:---------------------|:---------------------|\n| [Waveform Inversion 1](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-1)   | Train-Data        | data1 - data2          | data1 - data2          | seis2_1_0 - seis2_1_3    | seis6_1_0 - seis6_1_3    | data1 - data2           | data1 - data2           | seis2_1_0 - seis2_1_3     | seis6_1_0 - seis6_1_3     | data1 - data5        | data1 - data5        |\n|                                                                                           | Train-Model       | model1 - model2        | model1 - model2        | vel2_1_0 - vel2_1_3      | vel6_1_0 - vel6_1_3      | model1 - model2         | model1 - model2         | vel2_1_0 - vel2_1_3       | vel6_1_0 - vel6_1_3       | model1 - model5      | model1 - model5      |\n| [Waveform Inversion 2](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-2)   | Train-Data        | data3 - data4          | data3 - data4          | seis2_1_4 - seis2_1_7    | seis6_1_4 - seis6_1_7    | data3 - data4           | data3 - data4           | seis2_1_4 - seis2_1_7     | seis6_1_4 - seis6_1_7     | data10 - data9       | data10 - data9       |\n|                                                                                           | Train-Model       | model3 - model4        | model3 - model4        | vel2_1_4 - vel2_1_7      | vel6_1_4 - vel6_1_7      | model3 - model4         | model3 - model4         | vel2_1_4 - vel2_1_7       | vel6_1_4 - vel6_1_7       | model10 - model9     | model10 - model9     |\n| [Waveform Inversion 3](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-3)   | Train-Data        | data5 - data6          | data5 - data6          | seis2_1_10 - seis2_1_9   | seis6_1_10 - seis6_1_9   | data5 - data6           | data5 - data6           | seis2_1_10 - seis2_1_9    | seis6_1_10 - seis6_1_9    | data11 - data15      | data11 - data15      |\n|                                                                                           | Train-Model       | model5 - model6        | model5 - model6        | vel2_1_10 - vel2_1_9     | vel6_1_10 - vel6_1_9     | model5 - model6         | model5 - model6         | vel2_1_10 - vel2_1_9      | vel6_1_10 - vel6_1_9      | model11 - model15    | model11 - model15    |\n| [Waveform Inversion 4](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-4)   | Train-Data        | data7 - data8          | data7 - data8          | seis2_1_12 - seis2_1_15  | seis6_1_12 - seis6_1_15  | data7 - data8           | data7 - data8           | seis2_1_12 - seis2_1_15   | seis6_1_12 - seis6_1_15   | data16 - data20      | data16 - data20      |\n|                                                                                           | Train-Model       | model7 - model8        | model7 - model8        | vel2_1_12 - vel2_1_15    | vel6_1_12 - vel6_1_15    | model7 - model8         | model7 - model8         | vel2_1_12 - vel2_1_15     | vel6_1_12 - vel6_1_15     | model16 - model20    | model16 - model20    |\n| [Waveform Inversion 5](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-5)   | Train-Data        | data10 - data9         | data10 - data9         | seis2_1_16 - seis2_1_19  | seis6_1_16 - seis6_1_19  | data10 - data9          | data10 - data9          | seis2_1_16 - seis2_1_19   | seis6_1_16 - seis6_1_19   | data21 - data25      | data21 - data25      |\n|                                                                                           | Train-Model       | model10 - model9       | model10 - model9       | vel2_1_16 - vel2_1_19    | vel6_1_16 - vel6_1_19    | model10 - model9        | model10 - model9        | vel2_1_16 - vel2_1_19     | vel6_1_16 - vel6_1_19     | model21 - model25    | model21 - model25    |\n| [Waveform Inversion 6](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-6)   | Train-Data        | data11 - data12        | data11 - data12        | seis2_1_20 - seis2_1_23  | seis6_1_20 - seis6_1_23  | data11 - data12         | data11 - data12         | seis2_1_20 - seis2_1_23   | seis6_1_20 - seis6_1_23   | data26 - data30      | data26 - data30      |\n|                                                                                           | Train-Model       | model11 - model12      | model11 - model12      | vel2_1_20 - vel2_1_23    | vel6_1_20 - vel6_1_23    | model11 - model12       | model11 - model12       | vel2_1_20 - vel2_1_23     | vel6_1_20 - vel6_1_23     | model26 - model30    | model26 - model30    |\n| [Waveform Inversion 7](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-7)   | Train-Data        | data13 - data14        | data13 - data14        | seis2_1_24 - seis2_1_27  | seis6_1_24 - seis6_1_27  | data13 - data14         | data13 - data14         | seis2_1_24 - seis2_1_27   | seis6_1_24 - seis6_1_27   | data31 - data35      | data31 - data35      |\n|                                                                                           | Train-Model       | model13 - model14      | model13 - model14      | vel2_1_24 - vel2_1_27    | vel6_1_24 - vel6_1_27    | model13 - model14       | model13 - model14       | vel2_1_24 - vel2_1_27     | vel6_1_24 - vel6_1_27     | model31 - model35    | model31 - model35    |\n| [Waveform Inversion 8](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-8)   | Train-Data        | data15 - data16        | data15 - data16        | seis2_1_28 - seis2_1_31  | seis6_1_28 - seis6_1_31  | data15 - data16         | data15 - data16         | seis2_1_28 - seis2_1_31   | seis6_1_28 - seis6_1_31   | data36 - data40      | data36 - data40      |\n|                                                                                           | Train-Model       | model15 - model16      | model15 - model16      | vel2_1_28 - vel2_1_31    | vel6_1_28 - vel6_1_31    | model15 - model16       | model15 - model16       | vel2_1_28 - vel2_1_31     | vel6_1_28 - vel6_1_31     | model36 - model40    | model36 - model40    |\n| [Waveform Inversion 9](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-9)   | Train-Data        | data17 - data18        | data17 - data18        | seis3_1_0 - seis3_1_3    | seis7_1_0 - seis7_1_3    | data17 - data18         | data17 - data18         | seis3_1_0 - seis3_1_3     | seis7_1_0 - seis7_1_3     | data41 - data45      | data41 - data45      |\n|                                                                                           | Train-Model       | model17 - model18      | model17 - model18      | vel3_1_0 - vel3_1_3      | vel7_1_0 - vel7_1_3      | model17 - model18       | model17 - model18       | vel3_1_0 - vel3_1_3       | vel7_1_0 - vel7_1_3       | model41 - model45    | model41 - model45    |\n| [Waveform Inversion 10](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-10) | Train-Data        | data19 - data20        | data19 - data20        | seis3_1_4 - seis3_1_7    | seis7_1_4 - seis7_1_7    | data19 - data20         | data19 - data20         | seis3_1_4 - seis3_1_7     | seis7_1_4 - seis7_1_7     | data46 - data50      | data46 - data50      |\n|                                                                                           | Train-Model       | model19 - model20      | model19 - model20      | vel3_1_4 - vel3_1_7      | vel7_1_4 - vel7_1_7      | model19 - model20       | model19 - model20       | vel3_1_4 - vel3_1_7       | vel7_1_4 - vel7_1_7       | model46 - model50    | model46 - model50    |\n| [Waveform Inversion 11](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-11) | Train-Data        | data21 - data22        | data21 - data22        | seis3_1_10 - seis3_1_9   | seis7_1_10 - seis7_1_9   | data21 - data22         | data21 - data22         | seis3_1_10 - seis3_1_9    | seis7_1_10 - seis7_1_9    | data51 - data55      | data51 - data55      |\n|                                                                                           | Train-Model       | model21 - model22      | model21 - model22      | vel3_1_10 - vel3_1_9     | vel7_1_10 - vel7_1_9     | model21 - model22       | model21 - model22       | vel3_1_10 - vel3_1_9      | vel7_1_10 - vel7_1_9      | model51 - model55    | model51 - model55    |\n| [Waveform Inversion 12](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-12) | Train-Data        | data23 - data24        | data23 - data24        | seis3_1_12 - seis3_1_15  | seis7_1_12 - seis7_1_15  | data23 - data24         | data23 - data24         | seis3_1_12 - seis3_1_15   | seis7_1_12 - seis7_1_15   | data56 - data60      | data56 - data60      |\n|                                                                                           | Train-Model       | model23 - model24      | model23 - model24      | vel3_1_12 - vel3_1_15    | vel7_1_12 - vel7_1_15    | model23 - model24       | model23 - model24       | vel3_1_12 - vel3_1_15     | vel7_1_12 - vel7_1_15     | model56 - model60    | model56 - model60    |\n| [Waveform Inversion 13](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-13) | Train-Data        | data25 - data26        | data25 - data26        | seis3_1_16 - seis3_1_19  | seis7_1_16 - seis7_1_19  | data25 - data26         | data25 - data26         | seis3_1_16 - seis3_1_19   | seis7_1_16 - seis7_1_19   | data61 - data65      | data61 - data65      |\n|                                                                                           | Train-Model       | model25 - model26      | model25 - model26      | vel3_1_16 - vel3_1_19    | vel7_1_16 - vel7_1_19    | model25 - model26       | model25 - model26       | vel3_1_16 - vel3_1_19     | vel7_1_16 - vel7_1_19     | model61 - model65    | model61 - model65    |\n| [Waveform Inversion 14](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-14) | Train-Data        | data27 - data28        | data27 - data28        | seis3_1_20 - seis3_1_23  | seis7_1_20 - seis7_1_23  | data27 - data28         | data27 - data28         | seis3_1_20 - seis3_1_23   | seis7_1_20 - seis7_1_23   | data66 - data70      | data66 - data70      |\n|                                                                                           | Train-Model       | model27 - model28      | model27 - model28      | vel3_1_20 - vel3_1_23    | vel7_1_20 - vel7_1_23    | model27 - model28       | model27 - model28       | vel3_1_20 - vel3_1_23     | vel7_1_20 - vel7_1_23     | model66 - model70    | model66 - model70    |\n| [Waveform Inversion 15](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-15) | Train-Data        | data29 - data30        | data29 - data30        | seis3_1_24 - seis3_1_27  | seis7_1_24 - seis7_1_27  | data29 - data30         | data29 - data30         | seis3_1_24 - seis3_1_27   | seis7_1_24 - seis7_1_27   | data71 - data75      | data71 - data75      |\n|                                                                                           | Train-Model       | model29 - model30      | model29 - model30      | vel3_1_24 - vel3_1_27    | vel7_1_24 - vel7_1_27    | model29 - model30       | model29 - model30       | vel3_1_24 - vel3_1_27     | vel7_1_24 - vel7_1_27     | model71 - model75    | model71 - model75    |\n| [Waveform Inversion 16](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-16) | Train-Data        | data31 - data32        | data31 - data32        | seis3_1_28 - seis3_1_31  | seis7_1_28 - seis7_1_31  | data31 - data32         | data31 - data32         | seis3_1_28 - seis3_1_31   | seis7_1_28 - seis7_1_31   | data76 - data80      | data76 - data80      |\n|                                                                                           | Train-Model       | model31 - model32      | model31 - model32      | vel3_1_28 - vel3_1_31    | vel7_1_28 - vel7_1_31    | model31 - model32       | model31 - model32       | vel3_1_28 - vel3_1_31     | vel7_1_28 - vel7_1_31     | model76 - model80    | model76 - model80    |\n| [Waveform Inversion 17](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-17) | Train-Data        | data33 - data34        | data33 - data34        | seis4_1_0 - seis4_1_3    | seis8_1_0 - seis8_1_3    | data33 - data34         | data33 - data34         | seis4_1_0 - seis4_1_3     | seis8_1_0 - seis8_1_3     | data81 - data85      | data81 - data85      |\n|                                                                                           | Train-Model       | model33 - model34      | model33 - model34      | vel4_1_0 - vel4_1_3      | vel8_1_0 - vel8_1_3      | model33 - model34       | model33 - model34       | vel4_1_0 - vel4_1_3       | vel8_1_0 - vel8_1_3       | model81 - model85    | model81 - model85    |\n| [Waveform Inversion 18](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-18) | Train-Data        | data35 - data36        | data35 - data36        | seis4_1_4 - seis4_1_7    | seis8_1_4 - seis8_1_7    | data35 - data36         | data35 - data36         | seis4_1_4 - seis4_1_7     | seis8_1_4 - seis8_1_7     | data86 - data90      | data86 - data90      |\n|                                                                                           | Train-Model       | model35 - model36      | model35 - model36      | vel4_1_4 - vel4_1_7      | vel8_1_4 - vel8_1_7      | model35 - model36       | model35 - model36       | vel4_1_4 - vel4_1_7       | vel8_1_4 - vel8_1_7       | model86 - model90    | model86 - model90    |\n| [Waveform Inversion 19](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-19) | Train-Data        | data37 - data38        | data37 - data38        | seis4_1_10 - seis4_1_9   | seis8_1_10 - seis8_1_9   | data37 - data38         | data37 - data38         | seis4_1_10 - seis4_1_9    | seis8_1_10 - seis8_1_9    | data91 - data95      | data91 - data95      |\n|                                                                                           | Train-Model       | model37 - model38      | model37 - model38      | vel4_1_10 - vel4_1_9     | vel8_1_10 - vel8_1_9     | model37 - model38       | model37 - model38       | vel4_1_10 - vel4_1_9      | vel8_1_10 - vel8_1_9      | model91 - model95    | model91 - model95    |\n| [Waveform Inversion 20](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-20) | Train-Data        | data39 - data40        | data39 - data40        | seis4_1_12 - seis4_1_15  | seis8_1_12 - seis8_1_15  | data39 - data40         | data39 - data40         | seis4_1_12 - seis4_1_15   | seis8_1_12 - seis8_1_15   | data100 - data99     | data100 - data99     |\n|                                                                                           | Train-Model       | model39 - model40      | model39 - model40      | vel4_1_12 - vel4_1_15    | vel8_1_12 - vel8_1_15    | model39 - model40       | model39 - model40       | vel4_1_12 - vel4_1_15     | vel8_1_12 - vel8_1_15     | model100 - model99   | model100 - model99   |\n| [Waveform Inversion 21](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-21) | Train-Data        | data41 - data42        | data41 - data42        | seis4_1_16 - seis4_1_19  | seis8_1_16 - seis8_1_19  | data41 - data42         | data41 - data42         | seis4_1_16 - seis4_1_19   | seis8_1_16 - seis8_1_19   | data101 - data105    | data101 - data105    |\n|                                                                                           | Train-Model       | model41 - model42      | model41 - model42      | vel4_1_16 - vel4_1_19    | vel8_1_16 - vel8_1_19    | model41 - model42       | model41 - model42       | vel4_1_16 - vel4_1_19     | vel8_1_16 - vel8_1_19     | model101 - model105  | model101 - model105  |\n| [Waveform Inversion 22](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-22) | Train-Data        | data43 - data44        | data43 - data44        | seis4_1_20 - seis4_1_23  | seis8_1_20 - seis8_1_23  | data43 - data44         | data43 - data44         | seis4_1_20 - seis4_1_23   | seis8_1_20 - seis8_1_23   | data106 - data110    | data106 - data110    |\n|                                                                                           | Train-Model       | model43 - model44      | model43 - model44      | vel4_1_20 - vel4_1_23    | vel8_1_20 - vel8_1_23    | model43 - model44       | model43 - model44       | vel4_1_20 - vel4_1_23     | vel8_1_20 - vel8_1_23     | model106 - model110  | model106 - model110  |\n| [Waveform Inversion 23](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-23) | Train-Data        | data45 - data46        | data45 - data46        | seis4_1_24 - seis4_1_27  | seis8_1_24 - seis8_1_27  | data45 - data46         | data45 - data46         | seis4_1_24 - seis4_1_27   | seis8_1_24 - seis8_1_27   | data111 - data115    | data111 - data115    |\n|                                                                                           | Train-Model       | model45 - model46      | model45 - model46      | vel4_1_24 - vel4_1_27    | vel8_1_24 - vel8_1_27    | model45 - model46       | model45 - model46       | vel4_1_24 - vel4_1_27     | vel8_1_24 - vel8_1_27     | model111 - model115  | model111 - model115  |\n| [Waveform Inversion 24](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-24) | Train-Data        | data47 - data48        | data47 - data48        | seis4_1_28 - seis4_1_31  | seis8_1_28 - seis8_1_31  | data47 - data48         | data47 - data48         | seis4_1_28 - seis4_1_31   | seis8_1_28 - seis8_1_31   | data116 - data120    | data116 - data120    |\n|                                                                                           | Train-Model       | model47 - model48      | model47 - model48      | vel4_1_28 - vel4_1_31    | vel8_1_28 - vel8_1_31    | model47 - model48       | model47 - model48       | vel4_1_28 - vel4_1_31     | vel8_1_28 - vel8_1_31     | model116 - model120  | model116 - model120  |\n| [Waveform Inversion 25](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-25) | Val-Data          | data49 - data50        | data49 - data50        | seis2_1_32 - seis2_1_35  | seis6_1_32 - seis6_1_35  | data49 - data50         | data49 - data50         | seis2_1_32 - seis2_1_35   | seis6_1_32 - seis6_1_35   | data121 - data125    | data121 - data125    |\n|                                                                                           | Val-Model         | model49 - model50      | model49 - model50      | vel2_1_32 - vel2_1_35    | vel6_1_32 - vel6_1_35    | model49 - model50       | model49 - model50       | vel2_1_32 - vel2_1_35     | vel6_1_32 - vel6_1_35     | model121 - model125  | model121 - model125  |\n| [Waveform Inversion 26](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-26) | Val-Data          | data51 - data52        | data51 - data52        | seis3_1_32 - seis3_1_35  | seis7_1_32 - seis7_1_35  | data51 - data52         | data51 - data52         | seis3_1_32 - seis3_1_35   | seis7_1_32 - seis7_1_35   | data126 - data130    | data126 - data130    |\n|                                                                                           | Val-Model         | model51 - model52      | model51 - model52      | vel3_1_32 - vel3_1_35    | vel7_1_32 - vel7_1_35    | model51 - model52       | model51 - model52       | vel3_1_32 - vel3_1_35     | vel7_1_32 - vel7_1_35     | model126 - model130  | model126 - model130  |\n| [Waveform Inversion 27](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-27) | Val-Data          | data53 - data54        | data53 - data54        | seis4_1_32 - seis4_1_35  | seis8_1_32 - seis8_1_35  | data53 - data54         | data53 - data54         | seis4_1_32 - seis4_1_35   | seis8_1_32 - seis8_1_35   | data131 - data134    | data131 - data134    |\n|                                                                                           | Val-Model         | model53 - model54      | model53 - model54      | vel4_1_32 - vel4_1_35    | vel8_1_32 - vel8_1_35    | model53 - model54       | model53 - model54       | vel4_1_32 - vel4_1_35     | vel8_1_32 - vel8_1_35     | model131 - model134  | model131 - model134  |\n| [Waveform Inversion 28](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-28) | Extra-Data        | data55 - data56        | data55 - data56        |                          |                          | data55 - data56         | data55 - data56         |                           |                           |                      |                      |\n|                                                                                           | Extra-Model       | model55 - model56      | model55 - model56      |                          |                          | model55 - model56       | model55 - model56       |                           |                           |                      |                      |\n| [Waveform Inversion 29](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-29) | Extra-Data        | data57 - data58        | data57 - data58        |                          |                          | data57 - data58         | data57 - data58         |                           |                           |                      |                      |\n|                                                                                           | Extra-Model       | model57 - model58      | model57 - model58      |                          |                          | model57 - model58       | model57 - model58       |                           |                           |                      |                      |\n| [Waveform Inversion 30](https://www.kaggle.com/datasets/seshurajup/waveform-inversion-30) | Extra-Data        | data59 - data60        | data59 - data60        |                          |                          | data59 - data60         | data59 - data60         |                           |                           |                      |                      |\n|                                                                                           | Extra-Model       | model59 - model60      | model59 - model60      |                          |                          | model59 - model60       | model59 - model60       |                           |                           |                      |                      |",
    "3178346": "Hello there,\n\nThank you @seshurajup for putting data on Kaggle\nWe have pushed data to Huggingface.  https://huggingface.co/datasets/ashynf/OpenFWI\nSorry for the inconvenience.\n\nBest,\nThe Waveform Inversion Team",
    "3177617": "I am confused, does this mean the data available in the data tab of this competition is only a part of the data ? ",
    "3177328": "Thanks for sharing. It seems that Waveform Inversion 5 is broken.",
    "3177279": "Very helpful, I'm just in trouble with downloading dataset, thanks a lot!",
    "3177471": "> # [Training OpenFWI InversionNet Notebook with Kaggle Datasets](https://www.kaggle.com/code/seshurajup/openfwi-train-inversionnet/notebook?scriptVersionId=233524074) -- updated\n> ![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F621626b7af7f331b422da7baf2f7d104%2F1.png?generation=1744487669778191&alt=media)\n",
    "3176989": "@hanchenwang114 \n\n> Sorry, you can't view or download this file at this time.\n\n> Too many users have viewed or downloaded this file recently. Please try accessing the file again later. If the file you are trying to access is particularly large or is shared with many people, it may take up to 24 hours to be able to view or download the file. If you still can't access a file after 24 hours, contact your domain administrator.",
    "3175067": "Hello there,\n\nWe will see what we can do with pushing data to Huggingface. Currently, OpenFWI dataset is only available on the provided Google Drive link. Sorry for the inconvenience.\n\nBest,\nThe Waveform Inversion Team",
    "3210522": "@skaarface Thanks for sharing the information. I find the dataset cost 86G when i use \"kaggle competitions download -c waveform-inversion\" to download dataset, seems not 14G, why you said this competition just use 14G data? Do you mind explain? thank you\n",
    "3209063": "I am considering to use full OpenFWI dataset to scale up my model but concerning the data leaking problem at the same time. \n\nIs the competition testing set independent to OpenFWI?",
    "3178504": "# [OpenFWI HgNet [Train] with 670G Kaggle Datasets](https://www.kaggle.com/code/seshurajup/openfwi-hgnet-train-with-670g) - 1 epoch - 1 hour\n> ![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F761268%2F29abb6c11501446345a147792e4a8f73%2FScreenshot%202025-04-14%20at%201.50.06PM.png?generation=1744618887612399&alt=media)\n> * HgNet training with mixed dataset\n> * Using GPU T4 x2\n> * average of l2 + l1 loss\n> * **Each epoch took 1 hour on Kaggle GPU T4 x2 using HgNet with 670G training and 1st files as CV**\n",
    "3177619": "So only way to win is to give up  the process that you used? ",
    "3189028": ""
  }
}