The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/cards/[]/facts/[]/[]) changed from string to array in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, 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 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
UCard Observer Crypto Card Dataset
205 crypto and stablecoin debit, prepaid and credit card profiles (2026-10-20 snapshot), compiled and maintained by UCard Observer.
Each profile covers the issuing region and eligibility, KYC requirement (required, conditional, not stated, or verified none), card network and issuing entity where published, monthly, issuance, FX and ATM fees, cashback terms, Apple Pay and Google Pay support, and whether the product is running, winding down or closed. Every figure names the official page it was read from and the date it was last checked. Closed cards stay in as dated records instead of being deleted, so 13 of the 205 describe discontinued products.
Files
| File | Rows | Contents |
|---|---|---|
cards.json |
205 | Full card profiles: fee schedule, KYC notes, region and eligibility, rewards, payment-wallet support, FAQ, and the official sources behind each figure with their verification dates. |
crypto-card-bins.csv |
24 | Audited crypto card BIN entries: card product, network, card type, sponsor bank, country and currency, 3DS, Stripe acceptance rating, WeChat/Alipay support, status and risk level. The JSON mirror adds an English block for the six prose fields. |
Language
Prose fields (region notes, fee descriptions, changelog text) are written in Simplified Chinese. Brand names, ids, networks and currency amounts are Latin or numeric. The site publishes the same data in English and Traditional Chinese; the files here mirror the Simplified Chinese edition.
Licence
The data is released under CC BY 4.0. The code that generates it is MIT-licensed and lives in the GitHub repository.
When citing, give the snapshot date as well as the DOI:
UCard Observer (2026). UCard Observer Crypto Card Dataset: 205 Crypto Debit, Prepaid and Credit Cards with KYC, Fees and Official Sources (2026-10-20 snapshot) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23486803
Provenance and limits
This is a hand-verified compilation of public sources, not first-hand testing of the cards and not a scrape of a registry. It describes this directory, not the entire card market. Issuers change terms without notice, so a figure is only as current as the verification date attached to it; check the issuer's own page before relying on a fee or an eligibility rule.
Links
- Site: https://ucard.observer
- Coverage report and counting rules: https://ucard.observer/research/ucard-coverage/
- 2026 market report: https://ucard.observer/research/ucard-annual-2026/
- GitHub (JSON, CSV, changelog, BIN directory): https://github.com/liam1024-tech/awesome-crypto-cards
- Archived snapshot with a versioned DOI: https://doi.org/10.5281/zenodo.23486803
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