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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
id: string
name: string
symbol: string
updatedAt: string
generatedBy: string
cleared: struct<2026-08-23: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: st (... 209 chars omitted)
child 0, 2026-08-23: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
child 1, 2026-08-22: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
child 2, 2026-07-30: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
days: struct<2026-10-13: list<item: struct<id: string, name: string, symbol: string, pct: int64, kind: str (... 2025 chars omitted)
child 0, 2026-10-13: list<item: struct<id: string, nam
...
child 4, kind: string
child 17, 2026-07-24: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
child 18, 2026-07-23: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
child 19, 2026-07-21: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
child 20, 2026-07-18: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
to
{'updatedAt': Value('string'), 'generatedBy': Value('string'), 'days': {'2026-10-13': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('int64'), 'kind': Value('string')}), '2026-10-12': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-10-11': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-10-10': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-31': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-30': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-29': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-25': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-22': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-20': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value
...
lue('string')}), '2026-08-07': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-31': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-27': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-24': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-23': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-21': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-18': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')})}, 'cleared': {'2026-08-23': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-22': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-30': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')})}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
name: string
symbol: string
updatedAt: string
generatedBy: string
cleared: struct<2026-08-23: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: st (... 209 chars omitted)
child 0, 2026-08-23: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
child 1, 2026-08-22: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
child 2, 2026-07-30: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
days: struct<2026-10-13: list<item: struct<id: string, name: string, symbol: string, pct: int64, kind: str (... 2025 chars omitted)
child 0, 2026-10-13: list<item: struct<id: string, nam
...
child 4, kind: string
child 17, 2026-07-24: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
child 18, 2026-07-23: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
child 19, 2026-07-21: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
child 20, 2026-07-18: list<item: struct<id: string, name: string, symbol: string, pct: double, kind: string>>
child 0, item: struct<id: string, name: string, symbol: string, pct: double, kind: string>
child 0, id: string
child 1, name: string
child 2, symbol: string
child 3, pct: double
child 4, kind: string
to
{'updatedAt': Value('string'), 'generatedBy': Value('string'), 'days': {'2026-10-13': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('int64'), 'kind': Value('string')}), '2026-10-12': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-10-11': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-10-10': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-31': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-30': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-29': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-25': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-22': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-20': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value
...
lue('string')}), '2026-08-07': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-31': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-27': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-24': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-23': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-21': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-18': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')})}, 'cleared': {'2026-08-23': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-08-22': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')}), '2026-07-30': List({'id': Value('string'), 'name': Value('string'), 'symbol': Value('string'), 'pct': Value('float64'), 'kind': Value('string')})}}
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.
FraudCoins on-chain holder-concentration dataset
Dated on-chain measurements of top-10 holder concentration, re-measured in rotation (each asset every few days), for cryptocurrency tokens, plus contract-permission data — published under CC BY 4.0 and archived with a DOI.
DOI: 10.5281/zenodo.22494421 · Docs: https://fraudcoins.com/data/ · Live API: https://fraudcoins.com/dataset/v1/ (no key, CORS enabled)
What makes it different
A raw "top 10 holders hold X%" figure counts whatever the ten largest addresses happen to be — routinely an exchange's omnibus wallet, a liquidity pool, a bridge contract, a locked treasury or a burn address. Those are custodial or pooled balances, not one person deciding whether to sell.
This dataset classifies each of the ten largest holders first, publishes the
share held by private wallets only, and — uniquely — names every wallet it set
aside, with its classification and stake, in excluded-holders.json. The
correction is auditable on a block explorer rather than asserted.
Files
| File | Contents |
|---|---|
concentration.json |
raw vs corrected top-10 share per token |
excluded-holders.json |
the wallets removed from each figure, and why |
contract-permissions.json |
owner privileges + structural contract properties |
scores.json |
composite risk score, level, flags |
history.json |
concentration series |
coins-index.json |
id / name / symbol |
alerts.json |
concentration events by day |
index.json |
discovery document |
Reading it correctly
nullmeans no measurement — never a clean result. An unreported contract permission is unknown, not absent.- A flat interval in
history.jsonmeans no observed change, not a daily re-measurement. Consecutive identical readings are not re-emitted. - The date field differs per file:
sampledAt,asOf,measuredAt. - Flag thresholds are per tier, defined in
concentration.json'stiersarray, and a flag requires at least 50 holder records. alerts.jsonentries are mostlyfirst-measured, notcrossed— the asset was already above the threshold when first measured. Reading one as "this project newly deteriorated" would be wrong.
Limitations
- Holder classification relies on public address labels; an unlabelled custodial wallet is counted as private, so every correction is a floor.
- Excluded supply is not automatically harmless — treasury and vesting holdings can reach the market on unlock.
- Contract data is third-party static analysis of the deployed contract. Trade-simulation verdicts (honeypot, cannot-sell-all, taxes) are deliberately excluded: they false-positive on legitimate, freely-traded assets.
- Risk scores and flags are automated, opinion-based assessments derived from public market data — not statements of fact, financial advice, or allegations of illegal conduct against any project or person.
Citation
@dataset{fraudcoins_dataset,
title = {FraudCoins open dataset: on-chain holder concentration and contract permissions},
author = {{FraudCoins.com}},
year = {2026},
doi = {10.5281/zenodo.22494421},
url = {https://doi.org/10.5281/zenodo.22494421}
}
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