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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 9 new columns ({'epi_week', 'year', 'lgas_affected', 'probable_cases', 'suspected_cases', 'deaths', 'cfr_percent', 'confirmed_cases', 'states_affected'}) and 2 missing columns ({'completion', 'prompt'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mabera/nigeria-lassa-fever-surveillance-dataset/lassa_fever_surveillance_dataset.csv (at revision f8cf2bdbf84811b32c0843b29674f31d92387171), ['hf://datasets/mabera/nigeria-lassa-fever-surveillance-dataset@f8cf2bdbf84811b32c0843b29674f31d92387171/lassa_fever_interpreter_dataset.csv', 'hf://datasets/mabera/nigeria-lassa-fever-surveillance-dataset@f8cf2bdbf84811b32c0843b29674f31d92387171/lassa_fever_surveillance_dataset.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
epi_week: int64
year: int64
suspected_cases: double
confirmed_cases: double
probable_cases: double
deaths: double
cfr_percent: double
states_affected: double
lgas_affected: double
source: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1493
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 9 new columns ({'epi_week', 'year', 'lgas_affected', 'probable_cases', 'suspected_cases', 'deaths', 'cfr_percent', 'confirmed_cases', 'states_affected'}) and 2 missing columns ({'completion', 'prompt'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mabera/nigeria-lassa-fever-surveillance-dataset/lassa_fever_surveillance_dataset.csv (at revision f8cf2bdbf84811b32c0843b29674f31d92387171), ['hf://datasets/mabera/nigeria-lassa-fever-surveillance-dataset@f8cf2bdbf84811b32c0843b29674f31d92387171/lassa_fever_interpreter_dataset.csv', 'hf://datasets/mabera/nigeria-lassa-fever-surveillance-dataset@f8cf2bdbf84811b32c0843b29674f31d92387171/lassa_fever_surveillance_dataset.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 |
|---|---|---|
Week 2, 2026: 144 suspected cases, 33 confirmed, 1 probable, 2 deaths this week, CFR 6.1% this week. Cumulative 2026: 248 suspected, 54 confirmed, 11 deaths, CFR 20.4%, 5 states and 16 LGAs affected. Same period 2025: 484 suspected, 143 confirmed, 22 deaths, CFR 15.4%, 7 states and 32 LGAs affected. | This early-2026 snapshot shows fewer absolute cases than the same period in 2025 (54 vs 143 confirmed, 5 vs 7 states), which on its own would suggest the outbreak is smaller in scale. However, the cumulative case fatality rate is already higher than the equivalent point in 2025 (20.4% vs 15.4%), meaning a smaller numbe... | NCDC Lassa Fever Situation Report, Epi Week 2 2026 |
Week 9, 2026: 65 new confirmed cases this week, down from 77 in Week 8. Cumulative 2026: 2446 suspected, 469 confirmed, 4 probable, 109 deaths, CFR 23.2%. Same period 2025: CFR 18.7%. New cases this week reported in Benue, Ondo, Bauchi, Taraba, Edo, Plateau and Nasarawa states. 6 healthcare workers infected this week, ... | The week-on-week decline in new confirmed cases (77 to 65) is a modest positive signal on transmission, but the cumulative CFR of 23.2%, well above the 18.7% recorded at the same point in 2025, indicates that case severity and care outcomes have not improved in step with any slowdown in new infections. The continued he... | Guardian Nigeria, citing NCDC Week 9 Epidemiological Report, 17 Mar 2026 |
As of early April 2026 (around Week 12-13): 637-663 confirmed cases, 160-167 deaths, CFR 25.1-25.2%, cases across 22 states and 91-93 LGAs. 84% of cases concentrated in Bauchi, Ondo, Taraba, Benue and Edo. Same period 2025 CFR: 18.4-18.5%. | By this stage of the year the outbreak has both geographic breadth, 22 of Nigeria's 36 states reporting at least one case, and severe concentration, with 84% of all cases sitting in just five states. This dual pattern matters for response planning: a national-level awareness campaign is justified given the spread, but ... | NETEC Special Pathogen Update / Vanguard Nigeria, citing NCDC Week 12-13 Reports, Apr 2026 |
Week 19, 2026: 172 suspected cases, 17 confirmed (down from 22 in Week 18), 0 probable, 1 death this week, CFR 5.9% this week, 6 states and 12 LGAs affected this week. Cumulative 2026: 5034 suspected, 793 confirmed, 5 probable, 204 deaths, CFR 25.7%, 23 states and 108 LGAs affected. Same period 2025: CFR 19.4%, 18 stat... | The single-week CFR of 5.9% looks far less severe than the cumulative 25.7%, but this gap is expected and not contradictory: a one-death-per-17-confirmed-cases week reflects current intake, while the cumulative figure carries forward the accumulated burden of earlier, harder-hit weeks. The week-on-week decline in new c... | NCDC Lassa Fever Situation Report, Epi Week 19 2026 |
Historical reference, 2023 outbreak: Week 15, 4702 suspected cases, 877 confirmed, 5 probable, 152 deaths, CFR 17.0%, concentrated in states bordering Cameroon (Adamawa, Benue, Cross River, Taraba) and Benin (Oyo, Niger). Compare to 2026 cumulative CFR of 25.7% by Week 19. | The roughly 8.7-percentage-point increase in case fatality rate between the comparable 2023 and 2026 outbreaks, 17.0% versus 25.7%, is a substantial deterioration that is unlikely to be explained by chance alone given it spans multiple years and reporting periods. The shift in affected states is also notable: the 2023 ... | WHO Disease Outbreak News (2023) and NCDC Epi Week 19 2026 Situation Report |
null | null | WHO Disease Outbreak News, citing NCDC, 1 May 2023 |
null | null | NCDC Lassa Fever Situation Report, Epi Week 2 2026 (2025 comparison row) |
null | null | NCDC Lassa Fever Situation Report, Epi Week 2 2026 |
null | null | Guardian Nigeria, citing NCDC Week 9 Epidemiological Report (2025 comparison) |
null | null | Guardian Nigeria, citing NCDC Week 9 Epidemiological Report, 17 Mar 2026 |
null | null | NETEC, citing NCDC Week 12 report (2025 comparison) |
null | null | NETEC Special Pathogen Update, citing NCDC, accessed 3 Apr 2026 |
null | null | Vanguard Nigeria, citing NCDC Week 13 report (2025 comparison) |
null | null | Vanguard Nigeria, citing NCDC Epi Week 13 Report, 9 Apr 2026 |
null | null | NCDC Lassa Fever Situation Report, Epi Week 19 2026 (2025 comparison row) |
null | null | NCDC Lassa Fever Situation Report, Epi Week 19 2026 |
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