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
@context: struct<@language: string, @vocab: string, citeAs: string, column: string, conformsTo: string, cr: st (... 615 chars omitted)
child 0, @language: string
child 1, @vocab: string
child 2, citeAs: string
child 3, column: string
child 4, conformsTo: string
child 5, cr: string
child 6, rai: string
child 7, data: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 8, dataType: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 9, dct: string
child 10, equivalentProperty: string
child 11, examples: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 12, extract: string
child 13, field: string
child 14, fileProperty: string
child 15, fileObject: string
child 16, fileSet: string
child 17, format: string
child 18, includes: string
child 19, isLiveDataset: string
child 20, jsonPath: string
child 21, key: string
child 22, md5: string
child 23, parentField: string
child 24, path: string
child 25, recordSet: string
child 26, references: string
child 27, regex: string
child 28, repeated: string
child 29, replace: string
child 30, samplingRate: string
child 31, sc: string
child 32, separator: string
child 33, source: string
child 34, subField: string
child 35, transform: string
@type: string
conformsTo: string
name: string
description: string
url: string
license: string
creator:
...
child 0, sha256: string
child 1, bytes: int64
child 4, README.md: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 5, VERIFY.py: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 6, croissant.json: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 7, data/gold_entity_served.csv: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 8, data/gold_entity_served.parquet: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 9, data/gold_fundamentals.csv: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 10, data/gold_fundamentals.parquet: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 11, data/gold_fundamentals_as_reported.csv: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 12, data/gold_fundamentals_as_reported.parquet: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 13, metrics.json: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
to
{'sku': Value('string'), 'tier': Value('string'), 'generated_at': Value('timestamp[s]'), 'row_counts': {'gold_fundamentals': Value('int64'), 'gold_fundamentals_as_reported': Value('int64'), 'gold_entity_served': Value('int64')}, 'files': List(Value('string')), 'evidence': {'spec': Value('string'), 'algorithm': Value('string'), 'ignored': List(Value('string')), 'bundle_sha256': Value('string'), 'files': {'CITATION.cff': {'sha256': Value('string'), 'bytes': Value('int64')}, 'DICTIONARY.md': {'sha256': Value('string'), 'bytes': Value('int64')}, 'LICENSE.txt': {'sha256': Value('string'), 'bytes': Value('int64')}, 'PROVENANCE.md': {'sha256': Value('string'), 'bytes': Value('int64')}, 'README.md': {'sha256': Value('string'), 'bytes': Value('int64')}, 'VERIFY.py': {'sha256': Value('string'), 'bytes': Value('int64')}, 'croissant.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'data/gold_entity_served.csv': {'sha256': Value('string'), 'bytes': Value('int64')}, 'data/gold_entity_served.parquet': {'sha256': Value('string'), 'bytes': Value('int64')}, 'data/gold_fundamentals.csv': {'sha256': Value('string'), 'bytes': Value('int64')}, 'data/gold_fundamentals.parquet': {'sha256': Value('string'), 'bytes': Value('int64')}, 'data/gold_fundamentals_as_reported.csv': {'sha256': Value('string'), 'bytes': Value('int64')}, 'data/gold_fundamentals_as_reported.parquet': {'sha256': Value('string'), 'bytes': Value('int64')}, 'metrics.json': {'sha256': Value('string'), 'bytes': Value('int64')}}}}
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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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
@context: struct<@language: string, @vocab: string, citeAs: string, column: string, conformsTo: string, cr: st (... 615 chars omitted)
child 0, @language: string
child 1, @vocab: string
child 2, citeAs: string
child 3, column: string
child 4, conformsTo: string
child 5, cr: string
child 6, rai: string
child 7, data: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 8, dataType: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 9, dct: string
child 10, equivalentProperty: string
child 11, examples: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 12, extract: string
child 13, field: string
child 14, fileProperty: string
child 15, fileObject: string
child 16, fileSet: string
child 17, format: string
child 18, includes: string
child 19, isLiveDataset: string
child 20, jsonPath: string
child 21, key: string
child 22, md5: string
child 23, parentField: string
child 24, path: string
child 25, recordSet: string
child 26, references: string
child 27, regex: string
child 28, repeated: string
child 29, replace: string
child 30, samplingRate: string
child 31, sc: string
child 32, separator: string
child 33, source: string
child 34, subField: string
child 35, transform: string
@type: string
conformsTo: string
name: string
description: string
url: string
license: string
creator:
...
child 0, sha256: string
child 1, bytes: int64
child 4, README.md: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 5, VERIFY.py: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 6, croissant.json: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 7, data/gold_entity_served.csv: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 8, data/gold_entity_served.parquet: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 9, data/gold_fundamentals.csv: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 10, data/gold_fundamentals.parquet: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 11, data/gold_fundamentals_as_reported.csv: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 12, data/gold_fundamentals_as_reported.parquet: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
child 13, metrics.json: struct<sha256: string, bytes: int64>
child 0, sha256: string
child 1, bytes: int64
to
{'sku': Value('string'), 'tier': Value('string'), 'generated_at': Value('timestamp[s]'), 'row_counts': {'gold_fundamentals': Value('int64'), 'gold_fundamentals_as_reported': Value('int64'), 'gold_entity_served': Value('int64')}, 'files': List(Value('string')), 'evidence': {'spec': Value('string'), 'algorithm': Value('string'), 'ignored': List(Value('string')), 'bundle_sha256': Value('string'), 'files': {'CITATION.cff': {'sha256': Value('string'), 'bytes': Value('int64')}, 'DICTIONARY.md': {'sha256': Value('string'), 'bytes': Value('int64')}, 'LICENSE.txt': {'sha256': Value('string'), 'bytes': Value('int64')}, 'PROVENANCE.md': {'sha256': Value('string'), 'bytes': Value('int64')}, 'README.md': {'sha256': Value('string'), 'bytes': Value('int64')}, 'VERIFY.py': {'sha256': Value('string'), 'bytes': Value('int64')}, 'croissant.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'data/gold_entity_served.csv': {'sha256': Value('string'), 'bytes': Value('int64')}, 'data/gold_entity_served.parquet': {'sha256': Value('string'), 'bytes': Value('int64')}, 'data/gold_fundamentals.csv': {'sha256': Value('string'), 'bytes': Value('int64')}, 'data/gold_fundamentals.parquet': {'sha256': Value('string'), 'bytes': Value('int64')}, 'data/gold_fundamentals_as_reported.csv': {'sha256': Value('string'), 'bytes': Value('int64')}, 'data/gold_fundamentals_as_reported.parquet': {'sha256': Value('string'), 'bytes': Value('int64')}, 'metrics.json': {'sha256': Value('string'), 'bytes': 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.
AF-FUND — sample package
License-clean African & emerging-markets company fundamentals — point-in-time, derived from primary filings rather than exchange feeds, provenance-documented. See PROVENANCE.md and LICENSE.txt.
Quickstart
import duckdb, pandas as pd
df = duckdb.sql("select * from 'data/gold_fundamentals.parquet'").df() # or read_csv
df = pd.read_parquet('data/gold_fundamentals.parquet')
Excel: open any data/*.csv directly. Fields are documented in DICTIONARY.md; coverage and freshness in metrics.json.
This is a truncated free SAMPLE. Full history is in the paid tiers.
Cite this dataset
DOI (concept DOI — all versions, always resolves to the latest): https://doi.org/10.5281/zenodo.21966751
It currently resolves to release 2026.11. This pack is rebuilt on every release, so it carries no separate version DOI: only the concept DOI describes it truthfully. To cite a fixed set of bytes, cite the Zenodo record for the version you downloaded.
APA
Certvas. (2026). African Company Fundamentals (AF-FUND) (Version 2026.11) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.21966751
BibTeX
@misc{certvas_af_fund_2026_11,
author = {{Certvas}},
title = {African Company Fundamentals (AF-FUND)},
year = {2026},
version = {2026.11},
publisher = {Zenodo},
doi = {10.5281/zenodo.21966751},
url = {https://doi.org/10.5281/zenodo.21966751}
}
A machine-readable CITATION.cff ships in this release.
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