SCSM-Dataset
Collection
2 items • Updated
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found wf_scsm_swallow.py
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
path=dataset,
token=hf_token,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
path,
...<4 lines>...
**download_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1182, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1142, in dataset_module_factory
raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
RuntimeError: Dataset scripts are no longer supported, but found wf_scsm_swallow.pyNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
The Swallow D1--D7 Undefence training dataset released with WF-SCSM. The single HDF5 file contains 75,677 traces and retains the collection-day field: D1=49, D2=56, D3=63, D4=70, D5=77, D6=84, and D7=91.
from datasets import load_dataset
# All D1--D7 traces.
all_days = load_dataset(
"2594306528-dxw/wf_scsm_swallow",
"all",
trust_remote_code=True,
)
# D1-only subset used by the released pre-training configuration.
d1 = load_dataset(
"2594306528-dxw/wf_scsm_swallow",
"d1",
trust_remote_code=True,
)
The custom loader decodes the HDF5 rows and removes zero padding according to
lengths. It does not execute stochastic training augmentation.
Code: https://github.com/SJTU-dxw/WF-SCSM
This dataset is associated with the paper: SCSM: A Traffic-Native Foundation Model for Transferable Website Fingerprinting.