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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
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WHO Disease Outbreak News, citing NCDC, 1 May 2023
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NCDC Lassa Fever Situation Report, Epi Week 2 2026 (2025 comparison row)
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NCDC Lassa Fever Situation Report, Epi Week 2 2026
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Guardian Nigeria, citing NCDC Week 9 Epidemiological Report (2025 comparison)
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Guardian Nigeria, citing NCDC Week 9 Epidemiological Report, 17 Mar 2026
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NETEC, citing NCDC Week 12 report (2025 comparison)
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NETEC Special Pathogen Update, citing NCDC, accessed 3 Apr 2026
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Vanguard Nigeria, citing NCDC Week 13 report (2025 comparison)
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Vanguard Nigeria, citing NCDC Epi Week 13 Report, 9 Apr 2026
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NCDC Lassa Fever Situation Report, Epi Week 19 2026 (2025 comparison row)
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NCDC Lassa Fever Situation Report, Epi Week 19 2026
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