Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ReadError
Message:      invalid compressed data
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.9/tarfile.py", line 547, in _read
                  buf = self.cmp.decompress(buf)
              zlib.error: Error -3 while decompressing data: invalid stored block lengths
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1608, in _prepare_split_single
                  for key, record in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 690, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 122, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 44, in _get_pipeline_from_tar
                  current_example[field_name.lower()] = f.read()
                File "/usr/local/lib/python3.9/tarfile.py", line 688, in read
                  b = self.fileobj.read(length)
                File "/usr/local/lib/python3.9/tarfile.py", line 525, in read
                  buf = self._read(size)
                File "/usr/local/lib/python3.9/tarfile.py", line 549, in _read
                  raise ReadError("invalid compressed data")
              tarfile.ReadError: invalid compressed data
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1431, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 992, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1487, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1644, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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npz
dict
__key__
string
__url__
string
{"d":"8","data":[[[0.0000613834,-0.000106918,0.0000508403,-5.66442e-7,-9.82457e-7,-6.08094e-7],[0.00(...TRUNCATED)
train/00107132
"hf://datasets/NeuroAgentsLab/tactile-whisking@41a866fec1fccaaa610d2ffc2ab3fcb2f001b3b6/1000hz/train(...TRUNCATED)
{"d":"8","data":[[[0.0000404247,-0.0000887663,0.0000313034,0.0000111691,1.78747e-6,-9.09181e-6],[0.0(...TRUNCATED)
train/00083217
"hf://datasets/NeuroAgentsLab/tactile-whisking@41a866fec1fccaaa610d2ffc2ab3fcb2f001b3b6/1000hz/train(...TRUNCATED)
{"d":"5","data":[[[0.0000835057,-0.000152794,0.000073524,0.0000108769,-8.2191e-7,-0.0000125456],[0.0(...TRUNCATED)
train/00032364
"hf://datasets/NeuroAgentsLab/tactile-whisking@41a866fec1fccaaa610d2ffc2ab3fcb2f001b3b6/1000hz/train(...TRUNCATED)
{"d":"5","data":[[[0.0000514594,-0.0000952,0.0000404222,3.37401e-6,2.01152e-6,-1.19112e-6],[0.000015(...TRUNCATED)
train/00000801
"hf://datasets/NeuroAgentsLab/tactile-whisking@41a866fec1fccaaa610d2ffc2ab3fcb2f001b3b6/1000hz/train(...TRUNCATED)
{"d":"5","data":[[[0.0000607689,-0.000101906,0.0000510181,0.0000105599,-1.70183e-6,-0.0000136634],[0(...TRUNCATED)
train/00000473
"hf://datasets/NeuroAgentsLab/tactile-whisking@41a866fec1fccaaa610d2ffc2ab3fcb2f001b3b6/1000hz/train(...TRUNCATED)
{"d":"8","data":[[[0.0000608935,-0.000128709,0.0000456736,0.0000192379,2.40725e-6,-0.0000166831],[0.(...TRUNCATED)
train/00037848
"hf://datasets/NeuroAgentsLab/tactile-whisking@41a866fec1fccaaa610d2ffc2ab3fcb2f001b3b6/1000hz/train(...TRUNCATED)
{"d":"5","data":[[[0.0000235193,-0.0000570635,0.0000170338,0.0000107205,2.45441e-6,-7.76937e-6],[0.0(...TRUNCATED)
train/00044498
"hf://datasets/NeuroAgentsLab/tactile-whisking@41a866fec1fccaaa610d2ffc2ab3fcb2f001b3b6/1000hz/train(...TRUNCATED)
{"d":"5","data":[[[0.0000451707,-0.0000894126,0.000035955,8.10546e-6,3.29251e-6,-3.73174e-6],[0.0000(...TRUNCATED)
train/00086549
"hf://datasets/NeuroAgentsLab/tactile-whisking@41a866fec1fccaaa610d2ffc2ab3fcb2f001b3b6/1000hz/train(...TRUNCATED)
{"d":"8","data":[[[0.0000203687,-0.0000601246,0.0000122791,0.0000112248,5.09704e-6,-4.39311e-6],[0.0(...TRUNCATED)
train/00115492
"hf://datasets/NeuroAgentsLab/tactile-whisking@41a866fec1fccaaa610d2ffc2ab3fcb2f001b3b6/1000hz/train(...TRUNCATED)
{"d":"8","data":[[[0.0000497924,-0.00010693,0.0000411893,0.0000103229,1.0011e-6,-9.39835e-6],[0.0000(...TRUNCATED)
train/00053666
"hf://datasets/NeuroAgentsLab/tactile-whisking@41a866fec1fccaaa610d2ffc2ab3fcb2f001b3b6/1000hz/train(...TRUNCATED)
End of preview.

This is the ShapeNet whisking dataset used in our paper: https://arxiv.org/abs/2505.18361

  • 110hz/ is the high-variation low-fidelity dataset
  • 1000hz/ is the low-variation high-fidelity dataset
  • models contains checkpoints for our two models with the best task/neural score

Citation

If you use this dataset in your work, please cite:

@misc{chung2025tactile,
      title={Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain}, 
      author={Trinity Chung and Yuchen Shen and Nathan C. L. Kong and Aran Nayebi},
      year={2025},
      eprint={2505.18361},
      archivePrefix={arXiv},
      primaryClass={q-bio.NC},
      url={https://arxiv.org/abs/2505.18361}, 
}

Contact

If you have any questions or encounter issues, feel free to contact Trinity.

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