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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 ({'value', 'metric'}) and 2 missing columns ({'prompt', 'completion'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mabera/africa-hiv-funding-dataset/africa_hiv_key_figures.csv (at revision 93cbc71385c3fcb30a4f2ec26e325630a761a634), ['hf://datasets/mabera/africa-hiv-funding-dataset@93cbc71385c3fcb30a4f2ec26e325630a761a634/africa_hiv_interpreter_dataset.csv', 'hf://datasets/mabera/africa-hiv-funding-dataset@93cbc71385c3fcb30a4f2ec26e325630a761a634/africa_hiv_key_figures.csv', 'hf://datasets/mabera/africa-hiv-funding-dataset@93cbc71385c3fcb30a4f2ec26e325630a761a634/africa_hiv_timeseries.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 ({'value', 'metric'}) and 2 missing columns ({'prompt', 'completion'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mabera/africa-hiv-funding-dataset/africa_hiv_key_figures.csv (at revision 93cbc71385c3fcb30a4f2ec26e325630a761a634), ['hf://datasets/mabera/africa-hiv-funding-dataset@93cbc71385c3fcb30a4f2ec26e325630a761a634/africa_hiv_interpreter_dataset.csv', 'hf://datasets/mabera/africa-hiv-funding-dataset@93cbc71385c3fcb30a4f2ec26e325630a761a634/africa_hiv_key_figures.csv', 'hf://datasets/mabera/africa-hiv-funding-dataset@93cbc71385c3fcb30a4f2ec26e325630a761a634/africa_hiv_timeseries.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 |
|---|---|---|
Donors cover approximately 90 percent of antiretroviral (ARV) drug costs in West and Central Africa, compared to approximately 38 percent in East and Southern Africa. Several high-burden East and Southern African countries are almost entirely dependent on PEPFAR specifically for HIV prevention programs: Malawi at 88.5 ... | The regional split matters more than the continental average suggests: West and Central Africa's near-total donor dependency for treatment costs (90 percent) means any disruption there would affect ongoing ARV supply directly, while East and Southern Africa's lower regional average for treatment (38 percent) masks enor... | Health Policy Watch (7 Oct 2025) and UNAIDS Impact of US funding cuts on HIV programmes in East and Southern Africa (31 Mar 2025) |
PrEP (pre-exposure prophylaxis) use across 62 reporting countries fell from 3.3 million people in 2024 to 2.1 million in 2025, a 38 percent decline, including in Nigeria, Cameroon, and Uganda. In Nigeria specifically, monthly PrEP initiations fell from approximately 40,000 to approximately 6,000 following budget cuts, ... | The gap between the 38 percent multi-country PrEP decline and Nigeria's 85 percent collapse in monthly initiations suggests Nigeria's prevention infrastructure was disproportionately exposed compared to the average reporting country, likely reflecting how concentrated Nigeria's PrEP delivery was within externally funde... | CNBC Africa (12 Jun 2026), Health Policy Watch (7 Oct 2025), and UNAIDS Impact of US funding cuts on HIV programmes in East and Southern Africa (31 Mar 2025) |
In Mozambique, where PEPFAR has funded roughly two-thirds of the national HIV program for over a decade, comparing February to May 2025 against the same period in 2024 shows more than 15,000 fewer people started antiretroviral treatment, a 14 percent reduction. Viral load testing fell 38 percent in adults and 44 percen... | The consistent pattern of children being harder hit than adults across both viral load testing (44 percent vs 38 percent decline) and viral suppression (43 percent vs 33 percent decline) suggests pediatric HIV services in Mozambique were more concentrated in the disrupted funding stream than adult services, possibly be... | aidsmap, IAS 2025 conference reporting, Jul 2025 |
Modeling presented at the 2025 International AIDS Society Conference projected two scenarios through 2030. A moderate scenario, with prevention and testing funding cut by 24 percent by 2026 but treatment sustained by domestic funding, would result in 71,500 to 1.7 million additional new HIV infections and 5,000 to 61,0... | The roughly 6-fold jump in the upper-bound infection estimate between the moderate and severe scenarios (1.7 million to 10.8 million) is not proportional to the funding change between the two scenarios, since the severe scenario only adds full PEPFAR discontinuation on top of the same prevention cuts already present in... | aidsmap, IAS 2025 conference reporting, Jul 2025, citing modeling study using UNAIDS Global AIDS Monitoring reports |
Despite the 2025 funding disruptions, the number of people on antiretroviral treatment globally rose 2.7 percent year-on-year to 32.1 million by December 2025, though this growth rate was below the roughly 4 percent historical average. Domestic funding's share of total HIV resources in low and middle-income countries r... | The continued growth in treatment numbers (2.7 percent) despite the funding shock, even though slower than the historical trend, indicates the treatment system had more built-in resilience than the prevention system, consistent with the earlier finding that prevention programs like DREAMS and PrEP took much sharper hit... | Healio (17 Jun 2026), CNBC Africa (12 Jun 2026), and Health Policy Watch (7 Oct 2025), all citing UNAIDS 2025-2026 reporting |
null | null | Health Policy Watch, 7 Oct 2025, citing UNAIDS 2025 Overcoming Disruption report |
null | null | Health Policy Watch, 7 Oct 2025, citing UNAIDS 2025 Overcoming Disruption report |
null | null | Health Policy Watch, 7 Oct 2025, citing UNAIDS 2025 Overcoming Disruption report |
null | null | UNAIDS, Impact of US funding cuts on HIV programmes in East and Southern Africa, 31 Mar 2025 |
null | null | UNAIDS, Impact of US funding cuts on HIV programmes in East and Southern Africa, 31 Mar 2025 |
null | null | UNAIDS, Impact of US funding cuts on HIV programmes in East and Southern Africa, 31 Mar 2025 |
null | null | UNAIDS, Impact of US funding cuts on HIV programmes in East and Southern Africa, 31 Mar 2025 |
null | null | aidsmap, IAS 2025 conference reporting, Jul 2025 |
null | null | aidsmap, IAS 2025 conference reporting, Jul 2025 |
null | null | aidsmap, IAS 2025 conference reporting, Jul 2025 |
null | null | aidsmap, IAS 2025 conference reporting, Jul 2025, modeling study |
null | null | aidsmap, IAS 2025 conference reporting, Jul 2025, modeling study |
null | null | aidsmap, IAS 2025 conference reporting, Jul 2025, modeling study |
null | null | Health Policy Watch, 7 Oct 2025, citing UNAIDS 2025 Overcoming Disruption report |
null | null | Health Policy Watch, 7 Oct 2025, citing UNAIDS 2025 Overcoming Disruption report |
null | null | UNAIDS, Impact of US funding cuts on HIV programmes in East and Southern Africa, 31 Mar 2025 |
null | null | Health Policy Watch, 7 Oct 2025, citing UNAIDS 2025 Overcoming Disruption report |
null | null | Health Policy Watch, 7 Oct 2025, citing UNAIDS 2025 Overcoming Disruption report |
null | null | Healio, citing UNAIDS Global AIDS brief, 17 Jun 2026 |
null | null | Healio, citing UNAIDS Global AIDS brief, 17 Jun 2026 |
null | null | Healio, citing UNAIDS Global AIDS brief, 17 Jun 2026 |
null | null | Health Policy Watch, 7 Oct 2025, citing UNAIDS 2025 global AIDS update |
null | null | Healio, citing UNAIDS Global AIDS brief, 17 Jun 2026 |
null | null | CNBC Africa, 12 Jun 2026, citing UNAIDS early 2025 data release |
null | null | CNBC Africa, 12 Jun 2026, citing UNAIDS early 2025 data release |
null | null | CNBC Africa, 12 Jun 2026, citing UNAIDS early 2025 data release |
null | null | CNBC Africa, 12 Jun 2026, citing UNAIDS early 2025 data release |
null | null | Health Policy Watch, 7 Oct 2025, citing UNAIDS 2025 global AIDS update |
null | null | Health Policy Watch, 7 Oct 2025, citing UNAIDS 2025 global AIDS update |
null | null | Healio, citing UNAIDS Global AIDS brief, 17 Jun 2026 |
null | null | Healthbeat.org, 23 Apr 2026, citing US State Department PEPFAR data release |
Africa HIV Funding Dataset
Author: Hussein Adeiza (mabera) Role: Licensed Environmental Health Officer, Abuja Nigeria Built for: AutoScientist Challenge 2026, Part 2 — Science Category
Dataset Description
A structured dataset on Africa's HIV response and the 2025 global funding disruption, built from UNAIDS, IAS 2025 conference findings (aidsmap), Health Policy Watch, CNBC Africa, and Healio. Covers regional donor dependency, the prevention program collapse (PrEP, DREAMS), a real Mozambique case study, and 2030 modeled infection scenarios.
All figures cited per row to named sources. No primary UNAIDS documents redistributed.
A Note on Platform Classification
This dataset addresses genuinely epidemiological/public health content, but Adaption's automatic classifier repeatedly labeled it News/Governance/Medical rather than Science across multiple import attempts. This was reported to the Adaption team as a potential platform issue. See the accompanying model card for full disclosure: https://huggingface.co/mabera/africa-hiv-funding-analysis-model
Files
africa_hiv_interpreter_dataset.csv
5 prompt-completion pairs in the "raw stats in, expert public health interpretation out" format. Each row contains a raw cited statistic block (prompt), a structured analytical interpretation (completion), and the specific source(s) cited.
africa_hiv_timeseries.csv
Year-by-year cited statistics on global and country-specific HIV treatment, prevention, and funding trends, 2010-2025.
africa_hiv_key_figures.csv
Standalone reference table of 18 key cited statistics covering regional donor dependency, country-level PEPFAR reliance, program disruption figures, and 2030 modeling scenarios.
Key Cited Findings
- Donor dependency for ARVs: ~90% in West/Central Africa vs ~38% in East/Southern Africa; individual prevention-funding dependency ranges from below 25% (South Africa, Botswana, Kenya, Namibia) to above 80% (Malawi, Zimbabwe, Mozambique)
- Nigeria's monthly PrEP initiations fell 85% after 2025 budget cuts
- Mozambique: 15,000+ fewer treatment starts in a 4-month window, children consistently harder hit than adults
- Modeled 2030 scenarios: 4.4-10.8 million additional infections under full PEPFAR discontinuation, vs 71,500-1.7 million under a milder 24% prevention-cut scenario
Sources
- UNAIDS, Impact of US funding cuts on HIV programmes in East and Southern Africa, 31 Mar 2025
- Health Policy Watch, 7 Oct 2025, citing UNAIDS 2025 Overcoming Disruption report
- aidsmap, IAS 2025 conference reporting, Jul 2025
- CNBC Africa, 12 Jun 2026
- Healio, 17 Jun 2026
Related Links
- 🤗 Model: https://huggingface.co/mabera/africa-hiv-funding-analysis-model
- 📊 Kaggle: https://www.kaggle.com/datasets/yunusahusseinadeiza/africa-hiv-funding-disruption-interpreter
Credits
Powered by Adaptive Data — Adaption Labs AutoScientist Challenge 2026, Part 2 — Science Category
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