| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - image-to-text |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: file_name |
| dtype: string |
| - name: path_index |
| dtype: int64 |
| - name: node_index |
| dtype: int64 |
| - name: split |
| dtype: string |
| - name: latitude |
| dtype: float64 |
| - name: longitude |
| dtype: float64 |
| - name: month |
| dtype: int64 |
| - name: year |
| dtype: int64 |
| - name: move |
| dtype: float64 |
| - name: heading |
| dtype: float64 |
| - name: month_action |
| dtype: int64 |
| - name: year_action |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 95465834864.625 |
| num_examples: 1670003 |
| - name: test |
| num_bytes: 1691121089.0 |
| num_examples: 34000 |
| download_size: 50700120251 |
| dataset_size: 97156955953.625 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| tags: |
| - autonomous-driving |
| - road-images |
| - spatio-temporal |
| --- |
| |
| # STRIDE |
| 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. |
|
|
| 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. |
|
|
| ## Breakdown |
|
|
| ### Dataset (STRIDE) |
| The full tokenized dataset is made available through two downloadable files in a public GCS bucket: |
| ```bash |
| gsutil -m cp gs://tera-tardis/STRIDE-1/training.jsonl . # ~327GB |
| gsutil -m cp gs://tera-tardis/STRIDE-1/testing.jsonl . # ~9GB |
| ``` |
|
|
| In the future, the fully detokenized dataset will be made available. Should you need it, feel free to [contact the authors](#contacts). |
|
|
| #### San Mateo Coverage Map |
|
|
|  |
|
|
| 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. |
|
|
| #### Queens Coverage Map |
|
|
|  |
|
|
| 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. |
|
|
| ### Code (TARDIS) |
| The code used for training of the model is available [on GitHub](https://github.com/tera-ai/tardis). |
|
|
| ### Checkpoints (TARDIS) |
| The checkpoint/state used for evaluation of the model was saved in MessagePack format and is made available through this downloadable file: |
| ```bash |
| gsutil -m cp gs://tera-tardis/STRIDE-1/checkpoint.msgpack . # ~10GB |
| ``` |
|
|
| Should you need other checkpoints, feel free to [contact the authors](#contacts). |
|
|
| ### Project Website |
| The project website is available [here](https://tera-ai.github.io/tardis-stride-webpage). |
|
|
| ## Contacts |
|
|
| * [Héctor Carrión](mailto:hector@tera.earth) |
| * [Yutong Bai](mailto:ytongbai@gmail.com) |
| * [Víctor A. Hernández Castro](mailto:vhernandezcastro@gmail.com) |
| * [Kishan Panaganti](mailto:kpb@caltech.edu) |
| * [Ayush Zenith](mailto:ayush@tera-ai.com) |
| * [Matthew Trang](mailto:matthew@tera.earth) |
| * [Tony Zhang](mailto:tony@tera-ai.com) |
| <!-- * [Pietro Perona](mailto:) --> |
| <!-- * [Jitendra Malik](mailto:) --> |
|
|
| ## Paper |
| [TARDIS STRIDE: A Spatio-Temporal Road Image Dataset for Exploration and Autonomy](https://huggingface.co/papers/2506.11302) |
