{
  "fetched_at": "2026-10-20T09:37:28Z",
  "source_url": "https://www.kaggle.com/competitions/breathe-pollen-classification/data",
  "pages": [
    {
      "name": "data-description",
      "content": "</p> Data are packed into csv files containing scattered light, fluorescence spectrum and lifetime of fluorescence signals for every sampled particle, additional features from scattering and lifetime data are also available </p>\n\n<h2>File descriptions</h2>\n<ul>\n<li><strong>Training data</strong> - contains data files named according to data source type along with labels file, corresponding to pollen types</li>\n<li><strong>Test data</strong> - in same format as training data, but without labels file</li>\n<li><strong>sample.csv</strong> - a sample submission file in the correct format</li>\n<li><strong>submission.csv</strong> - the submission file that should be filled in with the results of the classifications</li>\n</ul>",
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    {
      "name": "Description",
      "content": "BREATHE \n\n<h2>Pollen Classification competition</h2>\n<p>Real-Time Airborne Particle Identifier Rapid-E from Plair SA is designed for real-time sampling and analysis of airborne particles. Compared to its predecessor PA-300   it delivers full time-resolved 24-angle scattering of near-UV laser beam, deep-UV laser-induced fluorescence in 32 measuring channels within a spectral range of 350–800 nm, eight sequential acquisitions with 500 ns retention and lifetime fluorescence at four spectral bands: 350-400, 420-460, 511-572, 672-800 and 2 ns temporal resolution. Recent studies indicate the use of flow cytometry has the potential for identification of bioaerosols , but dealing with a huge amount of diverse data makes AI method of choice for analysis.</p>\n\n<h2>Data</h2>\n<p>Three data modalities:</p>\n- lifetime\n- spectrum\n- scattering\n- size feature from scattering\n- lifetime features\n\n<h2>Acknowledgements</h2>\n<p>We thank BREATHE project for providing this dataset.</p>\n",
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    },
    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is **Macro F1-Score**\n\nSubmission Format\nUse empty solution file from Data page and enter predicted labels. Choose file name that will help you to follow progress and related to model/experiment you used to generate solution.",
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      "hasIsPublished": false,
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    },
    {
      "name": "rules",
      "content": "\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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      "hasIsPublished": false,
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