{
  "fetched_at": "2026-10-24T22:58:58Z",
  "source_url": "https://www.kaggle.com/competitions/geotagging-100/data",
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    {
      "name": "data-description",
      "content": "## The dataset provided is an:\n- annotated corpus of 500k elements\n- texts, as well as the respective geo coordinates (lat, long values)\n- 123 regions covered\n- 5000 tweets per location\n\nThe training data set provided in an archive containing 123 .json files, broken down by regions. For example, a single file could contain all texts from Brooklyn, while the other file would have all the texts posted from Tokyo & its suburbs. ",
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    {
      "name": "Evaluation",
      "content": "## Deliverable\n- A model which takes a text on the input and returns the coordinates on the output. Please submit the notebook here and add a comment with the url to the github branch of our [GitHub repository](https://github.com/1712n/yachay-public/tree/master/conf_geotagging_model) for a faster turn-around\n- Evaluation metrics obtained on the development dataset, including Mean Absolute Error in kilometers. \n- `text, lat, long` formatted .csv file - the validation data set processed by your model, with lattitude and longitude values of the predicted location.\n\nWe will evaluate the model (by Average Haversine Distance) using the validation data set attached. ",
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    {
      "name": "rules",
      "content": "Have fun and join our open-source community!",
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