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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 6 new columns ({'pct_foreign_ca', 'pct_african_ca', 'unknown_ca', 'foreign_ca', 'total_certs', 'african_ca'}) and 2 missing columns ({'count', 'issuer_org'}).

This happened while the csv dataset builder was generating data using

hf://datasets/electricsheepafrica/africa-certificate-authority-dependency/ca_sovereignty.csv (at revision 6c70e1c748a3368926589d42058828eea8e667c7), [/tmp/hf-datasets-cache/medium/datasets/31716878618166-config-parquet-and-info-electricsheepafrica-afric-3b5706e4/hub/datasets--electricsheepafrica--africa-certificate-authority-dependency/snapshots/6c70e1c748a3368926589d42058828eea8e667c7/ca_issuer_distribution.csv (origin=hf://datasets/electricsheepafrica/africa-certificate-authority-dependency@6c70e1c748a3368926589d42058828eea8e667c7/ca_issuer_distribution.csv), /tmp/hf-datasets-cache/medium/datasets/31716878618166-config-parquet-and-info-electricsheepafrica-afric-3b5706e4/hub/datasets--electricsheepafrica--africa-certificate-authority-dependency/snapshots/6c70e1c748a3368926589d42058828eea8e667c7/ca_sovereignty.csv (origin=hf://datasets/electricsheepafrica/africa-certificate-authority-dependency@6c70e1c748a3368926589d42058828eea8e667c7/ca_sovereignty.csv)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              scope: string
              total_certs: int64
              foreign_ca: int64
              african_ca: int64
              unknown_ca: int64
              pct_foreign_ca: double
              pct_african_ca: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1097
              to
              {'scope': Value('string'), 'issuer_org': Value('string'), 'count': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1348, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 6 new columns ({'pct_foreign_ca', 'pct_african_ca', 'unknown_ca', 'foreign_ca', 'total_certs', 'african_ca'}) and 2 missing columns ({'count', 'issuer_org'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/electricsheepafrica/africa-certificate-authority-dependency/ca_sovereignty.csv (at revision 6c70e1c748a3368926589d42058828eea8e667c7), [/tmp/hf-datasets-cache/medium/datasets/31716878618166-config-parquet-and-info-electricsheepafrica-afric-3b5706e4/hub/datasets--electricsheepafrica--africa-certificate-authority-dependency/snapshots/6c70e1c748a3368926589d42058828eea8e667c7/ca_issuer_distribution.csv (origin=hf://datasets/electricsheepafrica/africa-certificate-authority-dependency@6c70e1c748a3368926589d42058828eea8e667c7/ca_issuer_distribution.csv), /tmp/hf-datasets-cache/medium/datasets/31716878618166-config-parquet-and-info-electricsheepafrica-afric-3b5706e4/hub/datasets--electricsheepafrica--africa-certificate-authority-dependency/snapshots/6c70e1c748a3368926589d42058828eea8e667c7/ca_sovereignty.csv (origin=hf://datasets/electricsheepafrica/africa-certificate-authority-dependency@6c70e1c748a3368926589d42058828eea8e667c7/ca_sovereignty.csv)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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.

scope
string
issuer_org
string
count
int64
%.gov.gh
Let's Encrypt
1,571
%.gov.gh
COMODO CA Limited
580
%.gov.gh
"cPanel
453
%.gov.gh
DigiCert Inc
72
%.gov.gh
Symantec Corporation
22
%.gov.gh
"GoDaddy.com
19
%.gov.gh
GlobalSign nv-sa
11
%.gov.gh
"thawte
9
%.gov.gh
"Thawte
9
%.gov.gh
GeoTrust Inc.
5
%.gov.gh
"Starfield Technologies
4
%.gov.gh
"VeriSign
4
%.gov.gh
Sectigo Limited
2
%.gov.gh
SSL Corporation
2
%.gov.gh
StartCom Ltd.
2
%.gov.gh
SSL.com
1
%.gov.gh
Equifax
1
%.gov.gh
Equifax Secure Inc.
1
%.gov.gh
AlphaSSL
1
%.gov.gh
"GeoTrust
1
%.gov.za
Let's Encrypt
1,494
%.gov.za
"cPanel
445
%.gov.za
"Entrust
442
%.gov.za
"GoDaddy.com
105
%.gov.za
DigiCert Inc
84
%.gov.za
"thawte
64
%.gov.za
GeoTrust Inc.
54
%.gov.za
GlobalSign nv-sa
51
%.gov.za
"VeriSign
48
%.gov.za
South African Post Office Limited
40
%.gov.za
Symantec Corporation
39
%.gov.za
VeriSign Trust Network
34
%.gov.za
StartCom Ltd.
29
%.gov.za
COMODO CA Limited
26
%.gov.za
"Thawte
24
%.gov.za
"GeoTrust
8
%.gov.za
Network Solutions L.L.C.
6
%.gov.za
Thawte Consulting cc
6
%.gov.za
GlobalSign
4
%.gov.za
"Starfield Technologies
3
%.gov.za
Thawte Consulting (Pty) Ltd.
2
%.gov.za
Entrust.net
2
%.gov.za
WoSign CA Limited
1
%.gov.gh
null
null
%.gov.za
null
null

Africa Certificate Authority Dependency | Africa (Electric Sheep Africa metadata inventory)

Size category: n<1K - Formats: not declared - Sector: governance_security - Engineered by Electric Sheep Africa

size sector downloads license

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: Africa Certificate Authority Dependency Electric Sheep Africa · Post-Quantum Cryptographic Exposure cluster · dataset CA · v0.1 African digital infrastructure is being recorded by state actors today under the assumption it will be decryptable once quantum computers arrive (2030–2035 per NIST/NCSC/ENISA). This dataset is one dimension of the Africa-specific evidence for that claim. What this dataset answers How much of African cryptographic trust is anchored in… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-certificate-authority-dependency.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-certificate-authority-dependency
Sector governance_security
Topic tags cryptography, post-quantum, pqc, security, harvest-now-decrypt-later, tls, cybersecurity, certificate-authority, sovereignty, pki, trust
Modalities not declared
Formats not declared
Size category n<1K
Countries Africa-wide or source-defined African coverage
ISO3 coverage not declared
Last modified on HF 2026-05-29 14:40:18+00:00
Inventory snapshot 2026-07-16T16:00:34Z

How To Read This Dataset

  • Start from the repository files and the dataset viewer when available.
  • Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
  • Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
  • Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-certificate-authority-dependency")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

  • This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
  • Exact schema, row counts, and source files should be inspected in the repository data files.
  • Metadata gaps from the inventory: country, upstream_publisher, modality, format.
  • Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Suggested Analyses

  • Inspect schema and missingness before modeling.
  • Profile variables by geography, time, and subgroup columns where present.
  • Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
  • Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_certificate_authority_dependency_2026,
  title        = {Africa Certificate Authority Dependency | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-certificate-authority-dependency},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-certificate-authority-dependency}}
}

License

Released under CC BY 4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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