The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ArrowInvalid
Message: BatchSize must be greater than 0, got 0
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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/parquet/parquet.py", line 208, in _generate_tables
parquet_fragment.to_batches(
~~~~~~~~~~~~~~~~~~~~~~~~~~~^
batch_size=batch_size,
^^^^^^^^^^^^^^^^^^^^^^
...<3 lines>...
fragment_readahead=0,
^^^^^^^^^^^^^^^^^^^^^
)
^
File "pyarrow/_dataset.pyx", line 1648, in pyarrow._dataset.Fragment.to_batches
File "pyarrow/_dataset.pyx", line 3792, in pyarrow._dataset.Scanner.from_fragment
_populate_builder(builder, columns=columns, filter=filter,
File "pyarrow/_dataset.pyx", line 3574, in pyarrow._dataset._populate_builder
check_status(builder.BatchSize(batch_size))
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: BatchSize must be greater than 0, got 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Africa World Bank Energy and Mining Labeled Time Series Data
This repository is part of the Africa Temporal Intelligence Corpus (ATIC). It contains sector-specific temporal corpus packages for African countries.
ATIC sector repositories are designed for machine consumption first: Parquet tables, stable IDs, reproducible metadata, explicit provenance, review status, and separable semantic layers.
Sector Scope
Temporal energy indicators for African countries, including access, consumption, clean cooking, and energy-mix transition signals.
Technical scope:
- electricity access
- clean cooking access
- energy consumption per capita
- alternative and nuclear share of energy use
- collection-guided source grouping: Africa · World Bank Indicators
Repository Layout
README.md
sector_manifest.yaml
packages/
<package_id>/
raw.parquet
labels.parquet
events.parquet
relationships.parquet
reasoning.jsonl
metadata.yaml
quality_report.json
README.md
LICENSE
CHANGELOG.md
schemas/
ontology/
sources/
docs/
tools/
Package Index
| Package | ISO3 | Indicator | Coverage | Raw rows | Labels | Quality | Review priority |
|---|---|---|---|---|---|---|---|
somalia_eg_elc_accs_ru_zs_v0_1 |
SOM | Access to electricity, rural (% of rural population) |
2004-01-01 to 2022-01-01 | 14 | 17 | 0.98 | normal |
somalia_eg_elc_rnwx_zs_v0_1 |
SOM | Electricity production from renewable sources, excluding hydroelectric (% of total) |
2000-01-01 to 2021-01-01 | 18 | 21 | 0.98 | normal |
federal_republic_of_somalia_eg_elc_accs_ru_zs_v0_1 |
SOM | Access to electricity, rural (% of rural population) |
2004-01-01 to 2022-01-01 | 14 | 17 | 0.98 | normal |
federal_republic_of_somalia_eg_elc_rnwx_zs_v0_1 |
SOM | Electricity production from renewable sources, excluding hydroelectric (% of total) |
2000-01-01 to 2021-01-01 | 18 | 21 | 0.98 | normal |
uganda_eg_elc_accs_ru_zs_v0_1 |
UGA | Access to electricity, rural (% of rural population) |
1995-01-01 to 2022-01-01 | 21 | 28 | 0.98 | normal |
uganda_eg_elc_fosl_zs_v0_1 |
UGA | Electricity production from oil, gas and coal sources (% of total) |
1991-01-01 to 2022-01-01 | 27 | 43 | 0.98 | normal |
zambia_eg_use_comm_gd_pp_kd_v0_1 |
ZMB | Energy use (kg of oil equivalent) per $1,000 GDP (constant 2021 PPP) |
1990-01-01 to 2022-01-01 | 29 | 29 | 0.98 | normal |
zambia_tx_val_mmtl_zs_un_v0_1 |
ZMB | Ores and metals exports (% of merchandise exports) |
1967-01-01 to 2024-01-01 | 30 | 35 | 0.98 | normal |
kenya_ny_gdp_totl_rt_zs_v0_1 |
KEN | Total natural resources rents (% of GDP) |
1970-01-01 to 2021-01-01 | 41 | 41 | 0.98 | normal |
kenya_eg_use_crnw_zs_v0_1 |
KEN | Combustible renewables and waste (% of total energy) |
1990-01-01 to 2023-01-01 | 28 | 27 | 0.98 | normal |
somalia_fed_rep_ny_adj_dmin_cd_v0_1 |
SOM | Adjusted savings: mineral depletion (current US$) |
1970-01-01 to 2021-01-01 | 37 | 37 | 0.98 | normal |
somalia_fed_rep_eg_elc_accs_ru_zs_v0_1 |
SOM | Access to electricity, rural (% of rural population) |
2005-01-01 to 2023-01-01 | 14 | 16 | 0.98 | normal |
guinea_bissau_eg_elc_rnwx_zs_v0_1 |
GNB | Electricity production from renewable sources, excluding hydroelectric (% of total) |
2001-01-01 to 2020-01-01 | 17 | 21 | 0.98 | normal |
guinea_bissau_ny_gdp_minr_rt_zs_v0_1 |
GNB | Mineral rents (% of GDP) |
1970-01-01 to 2021-01-01 | 41 | 41 | 0.98 | normal |
ethiopia_ny_adj_dmin_cd_v0_1 |
ETH | Adjusted savings: mineral depletion (current US$) |
1970-01-01 to 2021-01-01 | 44 | 67 | 0.98 | normal |
ethiopia_ny_gdp_petr_rt_zs_v0_1 |
ETH | Oil rents (% of GDP) |
1981-01-01 to 2020-01-01 | 30 | 38 | 0.98 | normal |
south_africa_ny_gdp_totl_rt_zs_v0_1 |
ZAF | Total natural resources rents (% of GDP) |
1971-01-01 to 2021-01-01 | 41 | 48 | 0.98 | normal |
south_africa_eg_use_crnw_zs_v0_1 |
ZAF | Combustible renewables and waste (% of total energy) |
1990-01-01 to 2023-01-01 | 28 | 29 | 0.98 | normal |
zimbabwe_eg_use_pcap_kg_oe_v0_1 |
ZWE | Energy use (kg of oil equivalent per capita) |
1991-01-01 to 2022-01-01 | 29 | 38 | 0.98 | normal |
zimbabwe_eg_fec_rnew_zs_v0_1 |
ZWE | Renewable energy consumption (% of total final energy consumption) |
1990-01-01 to 2021-01-01 | 26 | 25 | 0.98 | normal |
south_sudan_eg_elc_rnwx_kh_v0_1 |
SSD | Electricity production from renewable sources, excluding hydroelectric (kWh) |
2000-01-01 to 2021-01-01 | 19 | 21 | 0.98 | normal |
south_sudan_ny_adj_dmin_gn_zs_v0_1 |
SSD | Adjusted savings: mineral depletion (% of GNI) |
2011-01-01 to 2015-01-01 | 5 | 6 | 1.0 | normal |
eswatini_ny_adj_dmin_gn_zs_v0_1 |
SWZ | Adjusted savings: mineral depletion (% of GNI) |
1970-01-01 to 2021-01-01 | 31 | 37 | 0.98 | normal |
eswatini_ny_adj_dngy_gn_zs_v0_1 |
SWZ | Adjusted savings: energy depletion (% of GNI) |
1990-01-01 to 2021-01-01 | 24 | 42 | 0.98 | normal |
ghana_ny_gdp_minr_rt_zs_v0_1 |
GHA | Mineral rents (% of GDP) |
1971-01-01 to 2021-01-01 | 40 | 45 | 0.98 | normal |
ghana_ny_gdp_ngas_rt_zs_v0_1 |
GHA | Natural gas rents (% of GDP) |
1971-01-01 to 2021-01-01 | 41 | 54 | 0.98 | normal |
Table Contract
Each package follows the ATIC dataset package contract:
raw.parquet: source observations after light normalization.labels.parquet: proposed or reviewed statistical and temporal annotations.events.parquet: discrete events linked to evidence.relationships.parquet: temporal relationships between observations, labels, and events.reasoning.jsonl: generated explanations kept separate from approved labels.metadata.yaml: package identity, source provenance, schema version, license, review status, and evidence catalog.quality_report.json: row counts, source columns, parse failures, coverage gaps, label distributions, thresholds, quality flags, quality score, and review priority.
The canonical schema files are included under schemas/.
Required raw.parquet columns:
observation_id, timestamp, country_iso3, domain, indicator, value, unit,
source_provider, source_dataset, source_record_id, observation_status,
ingestion_version
Required labels.parquet columns:
label_id, observation_id, timestamp, country_iso3, domain, indicator,
annotation_level, label_type, label_value, confidence, evidence_id,
review_status, annotator, annotation_version, created_at
Annotation Semantics
ATIC separates source observations from interpretation.
Current seed packages include:
annotation_level = 2: statistical labels such as year-over-year delta anomalies.annotation_level = 3: temporal state labels such asincreasing,decreasing, andstable.review_status = proposed: automatically generated, not yet human-approved.
Confidence values are bounded from 0.0 to 1.0. They are scoring hints for review priority, not truth guarantees.
Loading Examples
Use huggingface_hub and pyarrow:
from huggingface_hub import hf_hub_download
import pyarrow.parquet as pq
repo_id = "africatic/africa-world-bank-energy-mining-time-series"
path = hf_hub_download(
repo_id=repo_id,
repo_type="dataset",
filename="packages/somalia_eg_elc_accs_ru_zs_v0_1/raw.parquet",
)
raw = pq.read_table(path).to_pandas()
print(raw.head())
Query with DuckDB:
import duckdb
from huggingface_hub import hf_hub_download
labels_path = hf_hub_download(
repo_id="africatic/africa-world-bank-energy-mining-time-series",
repo_type="dataset",
filename="packages/somalia_eg_elc_accs_ru_zs_v0_1/labels.parquet",
)
duckdb.sql("""
select timestamp, label_type, label_value, confidence
from read_parquet(?)
where review_status = 'proposed'
order by timestamp
""", params=[labels_path]).show()
Validation
After downloading or cloning this repository, validate a package with:
python3 tools/validate_dataset.py packages/somalia_eg_elc_accs_ru_zs_v0_1
Validation checks:
- required package files
- metadata JSON Schema compatibility
- required Parquet columns
- broad Parquet type families
- reasoning JSONL schema
- quality report structure and parquet row-count agreement
Upstream Sources
Current upstream Electric Sheep Africa datasets:
electricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-eswatinielectricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-ethiopiaelectricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-federal-republic-of-somaliaelectricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-ghanaelectricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-guinea-bissauelectricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-kenyaelectricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-somaliaelectricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-somalia-fed-repelectricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-south-africaelectricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-south-sudanelectricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-ugandaelectricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-zambiaelectricsheepafrica/africa-world-bank-energy-and-mining-indicators-for-zimbabwe
Country information is preserved from source file paths where upstream rows do not include explicit country columns.
Provenance
Every package records:
- upstream provider
- Hugging Face dataset ID
- source file path
- source revision SHA
- retrieval date
- generation script
- statistical method
- evidence IDs
- review status
This makes each annotation inspectable and reproducible.
Responsible Use
The seed labels in this repository are statistical proposals. They are useful for temporal retrieval, QA, prioritizing review, and building benchmark tasks. They should not be treated as expert-approved facts until their review_status changes to approved.
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