Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: HfHubHTTPError
Message: (Request ID: Root=1-6a673439-66f718f46209f7b97c985c90;644cebd8-f5e3-41d6-ba64-a8a175be29a9)
429 Too Many Requests: you have reached your 'api' rate limit.
Retry after 211 seconds (0/500 requests remaining in current 300s window).
Url: https://huggingface.co/api/datasets/mackelab/tsnpe_neurips/revision/75bd4b39d420aa048b29b8a2fb2f1fc74a62c2fc.
We had to rate limit your IP (52.1.96.215). To continue using our service, create a HF account or login to your existing account, and make sure you pass a HF_TOKEN if you're using the API.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
builder = load_dataset_builder(
path,
...<6 lines>...
**config_kwargs,
)
File "/src/services/worker/src/worker/utils.py", line 390, in safe_load_dataset_builder
dataset_module = dataset_module_factory(
repo_dir,
revision=revision,
download_config=download_config,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
).get_module()
~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 608, in get_module
standalone_yaml_path = cached_path(
hf_dataset_url(self.name, config.REPOYAML_FILENAME, revision=self.commit_hash),
download_config=download_config,
)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 180, in cached_path
).resolve_path(url_or_filename)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 339, in resolve_path
repo_and_revision_exist, err = self._repo_and_revision_exist(parsed.type, parsed.id, revision)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 252, in _repo_and_revision_exist
self._api.repo_info(
~~~~~~~~~~~~~~~~~~~^
repo_id, revision=revision, repo_type=repo_type, timeout=constants.HF_HUB_ETAG_TIMEOUT
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
return fn(*args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_api.py", line 3598, in repo_info
return method(
repo_id,
...<4 lines>...
files_metadata=files_metadata,
)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
return fn(*args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_api.py", line 3360, in dataset_info
hf_raise_for_status(r)
~~~~~~~~~~~~~~~~~~~^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_http.py", line 868, in hf_raise_for_status
raise _format(HfHubHTTPError, message, response) from e
huggingface_hub.errors.HfHubHTTPError: (Request ID: Root=1-6a673439-66f718f46209f7b97c985c90;644cebd8-f5e3-41d6-ba64-a8a175be29a9)
429 Too Many Requests: you have reached your 'api' rate limit.
Retry after 211 seconds (0/500 requests remaining in current 300s window).
Url: https://huggingface.co/api/datasets/mackelab/tsnpe_neurips/revision/75bd4b39d420aa048b29b8a2fb2f1fc74a62c2fc.
We had to rate limit your IP (52.1.96.215). To continue using our service, create a HF account or login to your existing account, and make sure you pass a HF_TOKEN if you're using the API.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.
TSNPE NeurIPS 2022 — Results Data
This dataset contains the trained inference networks, simulation outputs, and intermediate results used to reproduce the neuroscience figures (Fig. 5 — pyloric network, Fig. 6 — layer 5 pyramidal cell) of:
Michael Deistler, Pedro J. Gonçalves, Jakob H. Macke. Truncated proposals for scalable and hassle-free simulation-based inference. NeurIPS 2022. https://openreview.net/forum?id=QW98XBAqNRa
It is the data companion to the code repository
mackelab/tsnpe_neurips, and mirrors
the directory structure that code expects under l5pc/results/. These files were
previously stored via Git LFS directly in that repository; they now live here to
keep the code repo's clone size and Git LFS bandwidth low.
Contents
l20_7/inference/— two training runs for the layer 5 pyramidal cell (L5PC, Fig. 6) model: trained inference networks (inference.pkl), validation log-probabilities, held-out observations (xo.pkl), and TensorBoard logs (sbi-logs/) from thesbitraining loop.p31_4/multiround/— multi-round inference results for the pyloric network (Fig. 5) across several training configurations (APT with/without transformation, TSNPE), oneinference_r*.pklper run/round.p31_4/prior_predictives_energy_paper/— prior predictive simulation outputs (all_circuit_parameters.pkl,all_simulation_outputs.pkl) used for the energy consumption analysis in the paper.simulations_pickle/— simulated parameter/observation pairs (simulations_theta_r*.pkl,simulations_x_r*.pkl) for the L5PC model, used to train the networks inl20_7/inference/without re-running the simulator.
All files are Python pickles produced by the sbi toolbox and the code in the
companion repository; there is no datasets-library loading script — load them
directly with pickle/torch.load as consumed by the notebooks in
mackelab/tsnpe_neurips.
Usage
pip install -U "huggingface_hub[cli]"
hf download mackelab/tsnpe_neurips --repo-type dataset --local-dir l5pc/results
Place the downloaded l5pc/results/ directory at the corresponding path inside a
checkout of mackelab/tsnpe_neurips
to reproduce Fig. 5 and Fig. 6 of the paper.
Citation
@inproceedings{
deistler2022truncated,
title={Truncated proposals for scalable and hassle-free simulation-based inference},
author={Michael Deistler and Pedro J. Goncalves and Jakob H. Macke},
booktitle={Thirty-Sixth Conference on Neural Information Processing Systems},
year={2022},
url={https://openreview.net/forum?id=QW98XBAqNRa}
}
License
AGPL-3.0, matching the code repository.
Contact
If you have questions, please reach out to michael.deistler@uni-tuebingen.de.
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