Dataset Viewer
The dataset viewer is not available for this split.
The info cannot be fetched for the config 'default' of the dataset.
Error code: InfoError
Exception: HfHubHTTPError
Message: (Request ID: Root=1-6a672ded-7bc98345678ff7bd0e2cc6bb;1e2a342a-f64c-4721-a5f8-ee09603e76bf)
429 Too Many Requests: you have reached your 'api' rate limit.
Retry after 171 seconds (0/500 requests remaining in current 300s window).
Url: https://huggingface.co/api/datasets/ydai17/TIDE-ou_robust_tau1_256_fp64/revision/fdee73e0cbfd6e8526fc888f63466969b343ad10.
We had to rate limit your IP (44.222.55.104). 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/split/first_rows.py", line 227, in compute_first_rows_from_streaming_response
info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
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=1-6a672ded-7bc98345678ff7bd0e2cc6bb;1e2a342a-f64c-4721-a5f8-ee09603e76bf)
429 Too Many Requests: you have reached your 'api' rate limit.
Retry after 171 seconds (0/500 requests remaining in current 300s window).
Url: https://huggingface.co/api/datasets/ydai17/TIDE-ou_robust_tau1_256_fp64/revision/fdee73e0cbfd6e8526fc888f63466969b343ad10.
We had to rate limit your IP (44.222.55.104). 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.
TIDE — ou_robust_tau1_256_fp64
One configuration of TIDE (Turbulent Incompressible DNS Ensembles): a 256^3 fp64 direct numerical simulation of the incompressible Navier-Stokes equations, shipped as independent realizations and released only after passing a fixed acceptance standard of statistical gates and equation-level residual checks.
- Index of all configurations: https://huggingface.co/datasets/ydai17/TIDE
- Code (solver, acceptance referee, benchmark): https://github.com/Dyloong1/TIDE-dataset-benchmark
- DOI record: https://doi.org/10.5281/zenodo.21589490
huggingface-cli download ydai17/TIDE-ou_robust_tau1_256_fp64 --repo-type dataset --local-dir ./tide-data/corpus
import zarr
z = zarr.open("./tide-data/corpus/ou_robust_tau1_256_fp64.zarr", mode="r")
u = z["u"][0] # (3, 256, 256, 256) velocity of the first frame
Each store holds velocity [N,3,256^3], pressure [N,256^3], the optional
scalar/buoyancy channel, and per-frame t, k_max_eta, seed. Fields are
computed in fp64 and stored in fp32; frames are exported every 0.05 T_L.
Data under CC-BY-4.0.
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