Dataset Viewer
The dataset viewer is not available for this dataset.
The JWT signature verification failed. Check the signing key and the algorithm.
Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
jwt.exceptions.InvalidSignatureError: Signature verification failedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
GraphTestbed Datasets
Public train/val/test features for the four GraphTestbed tasks. Test labels are held privately by the scoring server.
Why a single repo
GLUE-style: one repo, one subdir per task, one README. Adding a new task is a git push of one folder, not a new HF repo.
Subsets
| Task | id col | metric | rows (train/val/test) | Source |
|---|---|---|---|---|
arxiv-citation |
Paper_ID |
auc_roc |
see csv | Predict whether each arXiv paper receives ≥1 citation within |
figraph |
nodeID |
auc_roc |
see csv | FiGraph anomaly detection on listed companies (~4 |
ibm-aml |
transaction_id |
f1 |
see csv | Predict whether each transaction is part of a money-launderi |
ieee-fraud-detection |
TransactionID |
auc_roc |
see csv | Predict the probability that an online transaction is fraudu |
Use
from huggingface_hub import hf_hub_download
import pandas as pd
p = hf_hub_download(
'lanczos/graphtestbed-data', 'arxiv-citation/train_features.csv',
repo_type='dataset',
)
train = pd.read_csv(p)
Contract: treat upstream sources (e.g. relbench, FiGraph github, IBM AML kaggle) as out-of-bounds for evaluation purposes. Train + HPO on what's in this repo only.
Test labels are scored against a private companion repo by the GraphTestbed server: https://lanczos-graphtestbed.hf.space/.
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