ShirohAO/tuxun

GeoComp

Dataset description

Inspired by geoguessr.com, we developed a free geolocation game platform that tracks participants' competition histories. Unlike most geolocation websites, including Geoguessr, which rely solely on samples from Google Street View, our platform integrates Baidu Maps and Gaode Maps to address coverage gaps in regions like mainland China, ensuring broader global accessibility. The platform offers various engaging competition modes to enhance user experience, such as team contests and solo matches. Each competition consists of multiple questions, and teams are assigned a "vitality score". Users mark their predicted location on the map, and the evaluation is based on the ground truth's surface distance from the predicted location. Larger errors result in greater deductions from the team's vitality score. At the end of the match, the team with the higher vitality score wins. We also provide diverse game modes, including street views, natural landscapes, and iconic landmarks. Users can choose specific opponents or engage in random matches. To prevent cheating, external search engines are banned, and each round is time-limited. To ensure predictions are human-generated rather than machine-generated, users must register with a phone number, enabling tracking of individual activities. Using this platform, we collected GeoComp, a comprehensive dataset covering 1,000 days of user competition.

File introduction

• tuxun_combined_*

  The splited files of tuxun_combined.csv, you can use "cat" to get the csv file.

• tuxun_sample.csv

  An example to preview the structure of tuxun_combined.csv.

• selected_panoids

  The 500 panoids we used in our work. You can add csv or json suffix to the file.

• download_panoramas.py

  The script to download street view images from the panoid.

Requirement

The GeoComp is only for reasearch.

Start

Get tuxun_combined.csv

Merge the splited files to tuxun_combined.csv

cat tuxun_comblined_* > tuxun_comblined.csv

ls -lh tuxun_comblined.csv

Data format of tuxun_combined.csv

Example

id	data	gmt_create	timestamp
Game	Json style metadata	1734188074762.0

Explanation

• We hide data items that may reveal personal privacy like changing the value of key "userId" to "User", "hostUserId" to "HostUser", "playerIds" to "Players", "id" to "Game"

• The data under the "data" column is in json style. This column contains the detailed geolocation information like "lat", "lng", "nation" and "panoId".

Additional Information

Citation Information

@misc{song2025geolocationrealhumangameplay,
      title={Geolocation with Real Human Gameplay Data: A Large-Scale Dataset and Human-Like Reasoning Framework}, 
      author={Zirui Song and Jingpu Yang and Yuan Huang and Jonathan Tonglet and Zeyu Zhang and Tao Cheng and Meng Fang and Iryna Gurevych and Xiuying Chen},
      year={2025},
      eprint={2502.13759},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2502.13759}, 
}

Links

arXiv

Hugging Face

github