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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 2 new columns ({'metric', 'value'}) and 2 missing columns ({'prompt', 'completion'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mabera/nigeria-desertification-dataset/nigeria_desertification_key_figures.csv (at revision 67d74e77db755f6b22272dd739293f191c03f1ef), ['hf://datasets/mabera/nigeria-desertification-dataset@67d74e77db755f6b22272dd739293f191c03f1ef/nigeria_desertification_interpreter_dataset.csv', 'hf://datasets/mabera/nigeria-desertification-dataset@67d74e77db755f6b22272dd739293f191c03f1ef/nigeria_desertification_key_figures.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/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
metric: string
value: string
source: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 612
to
{'prompt': Value('string'), 'completion': Value('string'), 'source': Value('string')}
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 2 new columns ({'metric', 'value'}) and 2 missing columns ({'prompt', 'completion'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mabera/nigeria-desertification-dataset/nigeria_desertification_key_figures.csv (at revision 67d74e77db755f6b22272dd739293f191c03f1ef), ['hf://datasets/mabera/nigeria-desertification-dataset@67d74e77db755f6b22272dd739293f191c03f1ef/nigeria_desertification_interpreter_dataset.csv', 'hf://datasets/mabera/nigeria-desertification-dataset@67d74e77db755f6b22272dd739293f191c03f1ef/nigeria_desertification_key_figures.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.
prompt string | completion string | source string |
|---|---|---|
Nigeria desertification scale: approximately 351,000 hectares of cropland and rangeland lost annually to desert encroachment. 11 frontline states affected (Sokoto, Katsina, Jigawa, Yobe, Borno, Kano, Kebbi, Zamfara, Bauchi, Gombe, Adamawa), sharing borders with the Sahelian-Saharan zone of the Niger Republic. Approxima... | The scale here requires distinguishing between two different figures that are sometimes conflated: the 580,841 km2 / 63.8 percent figure represents Nigeria's total dryland classification (semi-arid and arid zones broadly), while the 351,000 hectares lost annually is the actual active rate of land conversion to unproduc... | UNCCD Nigeria Country Profile (2021); Wikipedia Desertification in Nigeria, citing Nigerian government and UNEP figures, accessed 2026 |
Remote sensing study (Sambe et al, 2026, Environmental Research Communications) of land cover change in frontline states of Northern Nigeria, using geospatial and economic analysis tools across the 11 frontline states bordering Niger, Chad and Cameroon. The study notes the region spans the Sudano-Sahelian belt and nort... | A 2026 peer-reviewed study using geospatial remote sensing methodology, rather than older ground-survey estimates, represents methodologically stronger evidence than many earlier desertification figures, which often rely on projections or sparse local data given the difficulty and cost of precise on-the-ground measurem... | Sambe et al, 2026, Environmental Research Communications, Vol 8, Number 2, DOI 10.1088/2515-7620/ae322b |
Remote sensing change-detection study of sand dune coverage in north-eastern Nigeria over a 25-year period (1990-2015): areas covered by sand dunes doubled over this period. 0.71 km2 of dunes were converted back to vegetation through afforestation efforts, while 10.1 km2 of vegetation were converted to sand dunes, a ra... | The 14-to-1 ratio of deforestation to successful afforestation is the most operationally important figure here, because it quantifies not just that land is being lost, but that current restoration efforts are running at roughly 7 percent of the pace needed simply to offset new losses, let alone reverse the cumulative d... | Ibrahim, Ahmed, Arodudu et al, Geographies 2022, 2(2), 204-226, DOI 10.3390/geographies2020015 |
Climate and land cover data comparison: rainfall increased and temperatures decreased in the study area during specific years (1994, 2005, 2012, 2014), yet sand dune coverage continued to expand during the same years rather than contracting. Researchers concluded that desertification in this region is 'less a function ... | This is a methodologically important finding because it directly tests, and falsifies for this specific region, the assumption that desertification tracks climate variables in a straightforward way. If desertification were primarily climate-driven, years with more favorable rainfall and temperature should show measurab... | Preprints.org, Ibrahim et al, 'Desertification in the Sahel Region: A Product of Climate Change or Human Activities?', accessed 2026 |
Composition of land degradation drivers in semi-arid frontline states: overgrazing accounts for approximately 58 percent of land degradation across these zones, as livestock populations strip protective vegetation faster than it can naturally regenerate. Northern Nigeria's deforestation rate was estimated by UNEP at ap... | With overgrazing identified as the single largest driver at 58 percent, livestock management policy is the highest-leverage single intervention point available, more so than afforestation campaigns alone, which address symptoms (lost vegetation) rather than this specific primary cause (grazing pressure exceeding regene... | UNEP (1993, cited in Wikipedia Desertification in Nigeria); Wikipedia Desertification, citing UNEP overgrazing figures, accessed 2026 |
null | null | UNCCD Nigeria Country Profile 2021; multiple corroborating remote sensing studies |
null | null | Sambe et al 2026, Environ. Res. Commun.; multiple corroborating sources |
null | null | Ibrahim et al 2022, Geographies journal |
null | null | UNOOSA presentation citing National Space Research and Development Agency |
null | null | Ibrahim et al 2022, Geographies journal, remote sensing change detection |
null | null | Ibrahim et al 2022, Geographies journal |
null | null | Ibrahim et al 2022, Geographies journal |
null | null | UNEP figures, cited via Wikipedia Desertification article |
null | null | UNEP 1993, cited in Wikipedia Desertification in Nigeria |
null | null | Nigerian government figures, cited via Wikipedia Desertification in Nigeria |
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