Datasets:
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---
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: 3114758143.367
num_examples: 72133
- name: test
num_bytes: 1380916002
num_examples: 34000
download_size: 4229475317
dataset_size: 4495674145.367001
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# 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).
### 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) |