Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label wayfast_ts_dataset@11f4099904d80a1c8508a0b7af0e7d5c3b1f92fd
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2572, in __iter__
                  example = _apply_feature_types_on_example(
                      example, self.features, token_per_repo_id=self.token_per_repo_id
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2489, in _apply_feature_types_on_example
                  encoded_example = features.encode_example(example)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2244, in encode_example
                  return encode_nested_example(self, example)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1518, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1541, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                         ~~~~~~~~~~~~~~~~~~~~~^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1210, in encode_example
                  example_data = self.str2int(example_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1147, in str2int
                  output = [self._strval2int(value) for value in values]
                            ~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1168, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label wayfast_ts_dataset@11f4099904d80a1c8508a0b7af0e7d5c3b1f92fd

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

WayFAST / WayFASTER TerraSentia Dataset

This repository hosts field recordings from the TerraSentia wheeled robot, originally collected for the WayFAST and WayFASTER traversability prediction works. We use this data in the Capability-Aware Traversability (CAT) project.


Contents

The data is split into .zip files, one per recording session (~38.5 GB in total). Each file name contains the date and time of the recording:

Files Period
dataset_ts_2022_*.zip (12 files) April – July 2022
dataset_terrasentia_2023-11-21-*.zip (4 files) November 2023

Download

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="CAT-IROS-2026/wayfast_ts_dataset",
    repo_type="dataset",
    local_dir="wayfast_ts_dataset",
)

To download a single session, add allow_patterns="dataset_ts_2022_04_10_14h27m23s.zip" (or any other file name).


Acknowledgements

A big thank you to Mateus Valverde Gasparino for collecting and kindly releasing the WayFAST and WayFASTER data, which made this work possible. 🙏

If you use this data, please cite the original works:

@article{gasparino2022wayfast,
  title   = {WayFAST: Navigation With Predictive Traversability in the Field},
  author  = {Gasparino, Mateus Valverde and Sivakumar, Arun Narenthiran and Liu, Yixiao and Velasquez, Andres Eduardo Baquero and Higuti, Vitor Akihiro Hisano and Rogers, John and Tran, Huy and Chowdhary, Girish},
  journal = {IEEE Robotics and Automation Letters},
  year    = {2022}
}

@inproceedings{gasparino2024wayfaster,
  title     = {WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness},
  author    = {Gasparino, Mateus Valverde and Sivakumar, Arun Narenthiran and Chowdhary, Girish},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  year      = {2024}
}

Downloads last month
-

Papers for CAT-IROS-2026/wayfast_ts_dataset