Dataset Viewer
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: CastError
Message: Couldn't cast
batch: int64
state_shape: list<item: int64>
child 0, item: int64
dtype: string
device: string
saved_steps: list<item: int64>
child 0, item: int64
note: string
initial_step: int64
saved_for: string
num_samples: int64
dim: int64
dynamics_type: string
to
{'batch': Value('int64'), 'state_shape': List(Value('int64')), 'dtype': Value('string'), 'device': Value('string'), 'saved_steps': List(Value('int64')), 'dynamics_type': Value('string'), 'dim': Value('int64'), 'num_samples': Value('int64'), 'saved_for': Value('string'), 'initial_step': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
batch: int64
state_shape: list<item: int64>
child 0, item: int64
dtype: string
device: string
saved_steps: list<item: int64>
child 0, item: int64
note: string
initial_step: int64
saved_for: string
num_samples: int64
dim: int64
dynamics_type: string
to
{'batch': Value('int64'), 'state_shape': List(Value('int64')), 'dtype': Value('string'), 'device': Value('string'), 'saved_steps': List(Value('int64')), 'dynamics_type': Value('string'), 'dim': Value('int64'), 'num_samples': Value('int64'), 'saved_for': Value('string'), 'initial_step': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
1. Kolmogorov Flow Dataset
Pre-generated Kolmogorov flow simulation datasets.
Datasets are indexed by:
- spatial resolution (
dim) - number of samples (
num_samples) - initial timestep (
step)
The simulator implementation follows the MASF project: https://github.com/tcnllab-oss/masf
The Kolmogorov dynamics implementation is adapted from: https://github.com/francois-rozet/sda
2. Dataset Structure
Repository layout:
dim{DIM}/
└── num_samples{N}/
├── meta.json
└── step_XXXXXX.pt
Example:
dim64/
└── num_samples1000/
├── meta.json
└── step_000050.pt
3. Loading Data
This loads the prior state at step, num_samples samples on a dim × dim spatial grid.
3.1. Option 1 — MASF API
| Parameter | Description |
|---|---|
dim |
spatial grid resolution |
num_samples |
number of generated samples |
step |
simulation timestep |
from dynamics import kolmogorov_flow
x = kolmogorov_flow(
dim=64,
num_samples=1000,
step=50,
)
# x.shape = [num_samples, 2, dim, dim]
The API automatically:
- checks the Hugging Face dataset repository
- downloads existing datasets
- generates missing configurations when unavailable
3.2. Option 2 — Direct Hugging Face Download
Without using the MASF API.
Available configurations:
dim ∈ {64, 128, 256, 512}num_samples ∈ {10, 100}step ∈ {50}
from huggingface_hub import hf_hub_download
import torch
dim = 64
num_samples = 10
step = 50
filename = (
f"dim{dim}/"
f"num_samples{num_samples}/"
f"step_{step:06d}.pt"
)
path = hf_hub_download(
repo_id="eunbii1/Kolmogorov_flow",
repo_type="dataset",
filename=filename,
)
x = torch.load(path)
# print(x.keys()) = ["step","state"]
# x["state"].shape = [num_samples, 2, dim, dim]
4. File Description
4.1. step_XXXXXX.pt
PyTorch serialized tensor containing simulation states.
Example:
import torch
x = torch.load("step_000050.pt")
4.2. meta.json
Metadata associated with a dataset configuration.
Example:
{"dim": 64, "num_samples": 1000, "step": 50}
5. Reference
Implementation adapted from:
@inproceedings{rozet2023sda,
title={Score-based Data Assimilation},
author={Fran{\c{c}}ois Rozet and Gilles Louppe},
booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
year={2023},
url={https://openreview.net/forum?id=VUvLSnMZdX},
}
MASF project:
@article{yoon2026masf,
title={Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions},
author={Yoon, Eunbi and Chang, Won and Kim, Donghan and Kim, Dae Wook},
journal={arXiv preprint},
year={2026}
}
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