Datasets:
Add paper link, task category and GitHub link
Browse filesThis PR adds a link to the paper, sets the task category to image-to-text, and includes a link to the GitHub repository.
These changes improve the discoverability and usability of the dataset.
README.md
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---
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license: cc-by-nc-4.0
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dataset_info:
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features:
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- name: image
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- split: test
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path: data/test-*
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---
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# STRIDE
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We develop STRIDE (Spatio-Temporal Road Image Dataset for Exploration), that consists of approximately 82B tokens which were arranged into a total of 6M visual "sentences" or token sequences. The sequences are generated from a relatively small set of 131k panoramic images, along with their metadata and openly available highway system data. Our approach enables a 27x increase in information, allowing for generative world model training. In essence, STRIDE turns real street-view panoramic observations into a navigable, interactive environment suitable for free-play across space and time.
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* [Matthew Trang](mailto:[email protected])
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* [Tony Zhang](mailto:[email protected])
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<!-- * [Pietro Perona](mailto:) -->
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<!-- * [Jitendra Malik](mailto:) -->
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---
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license: cc-by-nc-4.0
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task_categories:
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- image-to-text
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dataset_info:
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features:
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- name: image
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- split: test
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path: data/test-*
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---
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# STRIDE
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We develop STRIDE (Spatio-Temporal Road Image Dataset for Exploration), that consists of approximately 82B tokens which were arranged into a total of 6M visual "sentences" or token sequences. The sequences are generated from a relatively small set of 131k panoramic images, along with their metadata and openly available highway system data. Our approach enables a 27x increase in information, allowing for generative world model training. In essence, STRIDE turns real street-view panoramic observations into a navigable, interactive environment suitable for free-play across space and time.
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* [Matthew Trang](mailto:[email protected])
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* [Tony Zhang](mailto:[email protected])
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<!-- * [Pietro Perona](mailto:) -->
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<!-- * [Jitendra Malik](mailto:) -->
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## Paper
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[TARDIS STRIDE: A Spatio-Temporal Road Image Dataset for Exploration and Autonomy](https://huggingface.co/papers/2506.11302)
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