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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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dtype: image |
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- name: file_name |
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dtype: string |
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- name: path_index |
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dtype: int64 |
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- name: node_index |
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dtype: int64 |
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- name: split |
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dtype: string |
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- name: latitude |
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dtype: float64 |
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- name: longitude |
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dtype: float64 |
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- name: month |
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dtype: int64 |
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- name: year |
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dtype: int64 |
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- name: move |
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dtype: float64 |
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- name: heading |
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dtype: float64 |
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- name: month_action |
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dtype: int64 |
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- name: year_action |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 95465834864.625 |
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num_examples: 1670003 |
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- name: test |
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num_bytes: 1691121089.0 |
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num_examples: 34000 |
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download_size: 50700120251 |
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dataset_size: 97156955953.625 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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tags: |
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- autonomous-driving |
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- road-images |
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- spatio-temporal |
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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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For ease of use and data exploration, we prepared this sample of 10k detokenized paths, which amounts to about 100k projected panoramic images along with its corresponding metadata. |
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## Breakdown |
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### Dataset (STRIDE) |
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The full tokenized dataset is made available through two downloadable files in a public GCS bucket: |
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```bash |
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gsutil -m cp gs://tera-tardis/STRIDE-1/training.jsonl . # ~327GB |
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gsutil -m cp gs://tera-tardis/STRIDE-1/testing.jsonl . # ~9GB |
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``` |
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In the future, the fully detokenized dataset will be made available. Should you need it, feel free to [contact the authors](#contacts). |
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#### San Mateo Coverage Map |
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Above is the 70km^2 area we selected for putting together the Google StreetView data using openly available road data. Each directly connected component of the graph is represented with a distinct color, for ease of visualization. |
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#### Queens Coverage Map |
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Above is an additional Queens, NY 27km^2 area. Each directly connected component of the graph is represented with a distinct color, for ease of visualization. |
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### Code (TARDIS) |
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The code used for training of the model is available [on GitHub](https://github.com/tera-ai/tardis). |
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### Checkpoints (TARDIS) |
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The checkpoint/state used for evaluation of the model was saved in MessagePack format and is made available through this downloadable file: |
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```bash |
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gsutil -m cp gs://tera-tardis/STRIDE-1/checkpoint.msgpack . # ~10GB |
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``` |
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Should you need other checkpoints, feel free to [contact the authors](#contacts). |
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### Project Website |
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The project website is available [here](https://tera-ai.github.io/tardis-stride-webpage). |
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## Contacts |
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* [Héctor Carrión](mailto:[email protected]) |
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* [Yutong Bai](mailto:[email protected]) |
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* [Víctor A. Hernández Castro](mailto:[email protected]) |
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* [Kishan Panaganti](mailto:[email protected]) |
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* [Ayush Zenith](mailto:[email protected]) |
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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) |
