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license: apache-2.0
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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: 3114758143.367
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num_examples: 72133
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- name: test
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num_bytes: 1380916002.0
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num_examples: 34000
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download_size: 4229475317
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dataset_size: 4495674145.367001
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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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---
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---
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license: apache-2.0
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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: 3114758143.367
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num_examples: 72133
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- name: test
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num_bytes: 1380916002.0
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num_examples: 34000
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download_size: 4229475317
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dataset_size: 4495674145.367001
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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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---
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# STRIDE-1
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We develop STRIDE-1 (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-1 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-1)
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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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### Code (TARDIS)
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The code used for training of the model is available [on GitHub](https://github.com/tera-ai/lvm_action).
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### Checkpoints (TARDIS)
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The model checkpoints can be accessed through these GCS links:
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<!-- TODO: upload model checkpoints -->
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```bash
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gsutil -m cp gs://tera-tardis/checkpoints/xxx.ckpt
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```
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Should you need other checkpoints, feel free to [contact the authors](#contacts).
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## Contacts
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* [Héctor Carrión](mailto:hector@tera.earth)
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* [Yutong Bai](mailto:ytongbai@gmail.com)
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* [Víctor A. Hernández Castro](mailto:vhernandezcastro@gmail.com)
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* [Kishan Panaganti](mailto:kpb@caltech.edu)
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<!-- * [Ayush Zenith](mailto:ayush@tera-ai.com) -->
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<!-- * [Matthew Trang](mailto:matthew@tera.earth) -->
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<!-- * [Tony Zhang](mailto:tony@tera-ai.com) -->
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<!-- * [Pietro Perona](mailto:) -->
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<!-- * [Jitendra Malik](mailto:) -->
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