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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 dataset1000hz/
is the low-variation high-fidelity datasetmodels
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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