PredictionChallenge/datasets.html at master · wutingyehe/PredictionChallenge · GitHub

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  <title>Social Media Headline Prediction (SMHP)</title>

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      <h2>DATASET</h2>
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        <p>
          The SMHP dataset collected from <a href="https://www.flickr.com/">Flickr</a> (a photo sharing platform) for headline prediction task. We split the data with time-order, resulting in train and test data ratio is 10:1.The tables below show the statistics of dataset.
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      <h2>DOWNLOAD LINK</h2>
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          You can download image URLs and their associated meta data here. The training data (including popularity labels) is available now.
          <p>
          <b><a href="https://github.com/social-media-prediction/MM17PredictionChallenge/blob/master/README.md">Readme Document</a></b>
          <br>

          <br>
          <a href="https://drive.google.com/open?id=0B7CzfJRX7ZuzU3AxbTVsRE9pUEE"><b>Download Link for Train Image Urls</b></a>
          (Path Sample: train/77@N93/551891.jpg)
          <!--https://drive.google.com/open?id=0B6MvFOM_AGXNY1FEZGlFd3FWMXM-->
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          <a href="https://drive.google.com/open?id=0B7CzfJRX7ZuzWFRQUnlKTGJYUWM"><b>Download Link for Train Data</b></a>
          (include image paths, meta data and labels)
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            <a href="https://drive.google.com/open?id=0B5DNzEjbQhUZdnp2cUFwQmNLbTQ"><b>Download Link for Time Zone of Train Data</b></a>
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          <p class="notice-txt">Note that the datasets will ONLY be released to participants who have registered the challenge during the competition. Until the challenge completes, we will make the data publically available to the whole research community.</p>

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      <h3>Dataset Statistics</h3>
      <table class="table table-striped leaderboard-table">
        <thead>
        <tr>
          <th>#Post</th>
          <th>#User</th>
          <th>#Categories</th>
          <th>Temporal Range (Months)</th>
          <th>Avg. Title Length</th>
          <th>#Tags</th>
          <th>#POIs</th>
          <th>Avg. Views</th>
        </tr>
        </thead>
        <tbody>
        <tr>
          <th scope="row">340K</th>
          <td>80K</td>
          <td>11</td>
          <td>16</td>
          <td>26</td>
          <td>669</td>
          <td>103K</td>
          <td>306</td>
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    <p class="tip-txt">*In the dataset, we provide the category information for each photo.</p>


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