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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 4 new columns ({'escalated', 'gp_flagged', 'gp_was_wrong', 'answered_by'}) and 14 missing columns ({'call_error', 'cached', 'completion_tokens', 'missed', 'seconds', 'answer', 'hedges', 'bonus_hits', 'prompt_tokens', 'model', 'words', 'reading_grade', 'refused', 'unsafe_claims'}).
This happened while the csv dataset builder was generating data using
hf://datasets/DanielWadeIII/lab04-gp-vs-specialist/cascade.csv (at revision 0554074076a7de0deb861e2e9b18031e442ea9fa), ['hf://datasets/DanielWadeIII/lab04-gp-vs-specialist@0554074076a7de0deb861e2e9b18031e442ea9fa/answers.csv', 'hf://datasets/DanielWadeIII/lab04-gp-vs-specialist@0554074076a7de0deb861e2e9b18031e442ea9fa/cascade.csv', 'hf://datasets/DanielWadeIII/lab04-gp-vs-specialist@0554074076a7de0deb861e2e9b18031e442ea9fa/partA_temperature_sweep.csv', 'hf://datasets/DanielWadeIII/lab04-gp-vs-specialist@0554074076a7de0deb861e2e9b18031e442ea9fa/per_question.csv', 'hf://datasets/DanielWadeIII/lab04-gp-vs-specialist@0554074076a7de0deb861e2e9b18031e442ea9fa/scorecard.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 1848, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
question: string
domain: string
escalated: bool
answered_by: string
coverage: double
full_credit: int64
cost_usd: double
gp_flagged: bool
gp_was_wrong: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1327
to
{'question': Value('string'), 'domain': Value('string'), 'model': Value('string'), 'answer': Value('string'), 'seconds': Value('float64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'cost_usd': Value('float64'), 'cached': Value('bool'), 'call_error': Value('string'), 'coverage': Value('float64'), 'full_credit': Value('int64'), 'missed': Value('string'), 'unsafe_claims': Value('float64'), 'bonus_hits': Value('string'), 'hedges': Value('bool'), 'refused': Value('bool'), 'words': Value('int64'), 'reading_grade': Value('float64')}
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 1694, 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 1850, 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 4 new columns ({'escalated', 'gp_flagged', 'gp_was_wrong', 'answered_by'}) and 14 missing columns ({'call_error', 'cached', 'completion_tokens', 'missed', 'seconds', 'answer', 'hedges', 'bonus_hits', 'prompt_tokens', 'model', 'words', 'reading_grade', 'refused', 'unsafe_claims'}).
This happened while the csv dataset builder was generating data using
hf://datasets/DanielWadeIII/lab04-gp-vs-specialist/cascade.csv (at revision 0554074076a7de0deb861e2e9b18031e442ea9fa), ['hf://datasets/DanielWadeIII/lab04-gp-vs-specialist@0554074076a7de0deb861e2e9b18031e442ea9fa/answers.csv', 'hf://datasets/DanielWadeIII/lab04-gp-vs-specialist@0554074076a7de0deb861e2e9b18031e442ea9fa/cascade.csv', 'hf://datasets/DanielWadeIII/lab04-gp-vs-specialist@0554074076a7de0deb861e2e9b18031e442ea9fa/partA_temperature_sweep.csv', 'hf://datasets/DanielWadeIII/lab04-gp-vs-specialist@0554074076a7de0deb861e2e9b18031e442ea9fa/per_question.csv', 'hf://datasets/DanielWadeIII/lab04-gp-vs-specialist@0554074076a7de0deb861e2e9b18031e442ea9fa/scorecard.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.
question string | domain string | model string | answer string | seconds float64 | prompt_tokens int64 | completion_tokens int64 | cost_usd float64 | cached bool | call_error null | coverage float64 | full_credit int64 | missed string | unsafe_claims null | bonus_hits string | hedges bool | refused bool | words int64 | reading_grade float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
onc_staging | Oncology staging | liquid/lfm-2.5-2.6b:free | Based on the AJCC 8th Edition Breast Cancer Staging System:
**T Category:** T1b — The tumor is 2.5 cm in greatest dimension, which falls in the range of T1b (>2 cm but ≤5 cm).
**N Category:** N1a — There are two axillary sentinel lymph nodes with metastatic disease. Under AJCC 8th Edition, N1a corresponds to 1–3 axil... | 10.71 | 125 | 1,422 | 0 | true | null | 0.5 | 0 | t2|iib | null | sentinel | false | false | 131 | 9.1 |
cardio_gdm | Cardiology guideline | liquid/lfm-2.5-2.6b:free | The four drug classes that constitute guideline-directed medical therapy (GDMT) for HFrEF are:
1. **ACE inhibitor / ARB / ARNI** — sacubitril/valsartan (preferred over ACEi) is now first-line; ACEi remains acceptable if ARNI cannot be initiated.
2. **Beta-blocker** — carvedilol, metoprolol succinate, or bisoprolol.
3.... | 4.23 | 122 | 1,027 | 0 | true | null | 1 | 1 | null | null | null | true | false | 122 | 12.7 |
ddi_warfarin | Drug-drug interaction | liquid/lfm-2.5-2.6b:free | **Interaction Explanation**
**Warfarin + St John's wort:** St John's wort (Hypericum perforatum) is a potent inducer of CYP3A4 and P-glycoprotein. Although warfarin is primarily metabolized by CYP2C9 (S-warfarin) and CYP1A2 (R-warfarin), CYP3A4 induction contributes to decreased warfarin clearance. This results in **l... | 4.21 | 120 | 1,642 | 0 | true | null | 1 | 1 | null | null | cyp2c9|cyp3a4|monitor|ssri | true | false | 221 | 15.2 |
rare_bone | Rare-disease workup | liquid/lfm-2.5-2.6b:free | **Most Likely Diagnosis:** Autosomal dominant osteopetrosis (osteosclerosis)
**Genes Most Often Involved:**
- **SLC25A12** (encoding xanthine oxidoreductase subunit A) — responsible for approximately 50% of cases
- Other genes include *SLC37A3*, *TBC1D23*, and *LYSET*
**Confirmatory Test:** Genetic testing for pathog... | 1.8 | 119 | 811 | 0 | true | null | 0.667 | 0 | osteogenesis imperfecta | null | autosomal dominant | true | false | 122 | 19.6 |
onto_map | Ontology mapping (ICD-10-CM to SNOMED CT) | liquid/lfm-2.5-2.6b:free | <|tool_call_start|>[google(query='ICD-10-CM E11.9 Type 2 diabetes mellitus without complications SNOMED CT mapping'), google(query='SNOMED CT E11.9 type 2 diabetes mellitus without complications SCTID')]<|tool_call_end|> | 0.64 | 144 | 190 | 0 | true | null | 0.5 | 0 | granular | null | map | false | false | 30 | 9.2 |
onc_staging | Oncology staging | nvidia/nemotron-3-ultra-550b-a55b:free | **T category: T2** (tumor >2 cm but ≤5 cm; AJCC 8th ed., breast cancer staging)
**N category: N1** (metastases in 1–3 axillary lymph nodes; AJCC 8th ed.)
**M category: M0** (no distant metastases on imaging; AJCC 8th ed.)
**Anatomic stage group: Stage IIB** (T2 N1 M0; AJCC 8th ed., anatomic stage groups for brea... | 16.8 | 123 | 462 | 0 | true | null | 1 | 1 | null | null | null | false | false | 52 | 7.5 |
cardio_gdm | Cardiology guideline | nvidia/nemotron-3-ultra-550b-a55b:free | **Four GDMT drug classes for HFrEF (per 2022 ACC/AHA/HFSA & 2021 ESC guidelines):**
1. **ARNI (or ACEi/ARB)** – renin–angiotensin system inhibition
2. **Evidence-based beta-blocker** (bisoprolol, carvedilol, metoprolol succinate)
3. **Mineralocorticoid receptor antagonist (MRA)** (spironolactone or eplerenone)
4.... | 13 | 126 | 833 | 0 | true | null | 1 | 1 | null | null | null | true | false | 98 | 14.6 |
ddi_warfarin | Drug-drug interaction | nvidia/nemotron-3-ultra-550b-a55b:free | **1. Fluconazole + warfarin**
- **Mechanism:** Fluconazole is a potent inhibitor of CYP2C9 (primary metaboliser of S‑warfarin) and a moderate inhibitor of CYP3A4 (metabolises R‑warfarin). This reduces warfarin clearance, increasing plasma concentrations and INR.
- **Evidence/guideline:** Classified as a **“red” (av... | 19.35 | 125 | 1,430 | 0 | true | null | 1 | 1 | null | null | cyp2c9|cyp3a4|monitor | true | false | 364 | 13 |
rare_bone | Rare-disease workup | nvidia/nemotron-3-ultra-550b-a55b:free | **Diagnosis:** Osteogenesis imperfecta (OI), most likely type I or IV given the combination of fractures, blue-grey sclerae, dentinogenesis imperfecta, and autosomal dominant inheritance across three generations.
**Genes most often involved:**
- **COL1A1** (≈90% of pathogenic variants in dominant OI)
- **COL1A2** ... | 11.02 | 120 | 315 | 0 | true | null | 1 | 1 | null | null | autosomal dominant | true | false | 82 | 20.7 |
onto_map | Ontology mapping (ICD-10-CM to SNOMED CT) | nvidia/nemotron-3-ultra-550b-a55b:free | **Mapping**
ICD-10-CM **E11.9** (Type 2 diabetes mellitus without complications) maps to the SNOMED CT concept **“Type 2 diabetes mellitus”** (SCTID **44054006**) per the NLM/ICD-10-CM-to-SNOMED CT map.
**Why mapping is rarely one-to-one**
ICD-10-CM is a statistical classification that bundles clinically distinct ... | 23.31 | 148 | 1,318 | 0 | true | null | 1 | 1 | null | null | 44054006|map | false | false | 97 | 13.5 |
onc_staging | Oncology staging | qwen/qwen3.8-max-0902 | null | 40.07 | 161 | 2,000 | 0.012322 | false | null | 0 | 0 | t2|n1|m0|iib | null | null | false | false | 0 | null |
cardio_gdm | Cardiology guideline | qwen/qwen3.8-max-0902 | null | 40.87 | 162 | 2,000 | 0.012324 | false | null | 0 | 0 | arni|beta blocker|mineralocorticoid|sglt2 | null | null | false | false | 0 | null |
ddi_warfarin | Drug-drug interaction | qwen/qwen3.8-max-0902 | null | 44.25 | 159 | 2,000 | 0.012318 | false | null | 0 | 0 | inr|bleed|clot|avoid | null | null | false | false | 0 | null |
rare_bone | Rare-disease workup | qwen/qwen3.8-max-0902 | **Most likely diagnosis:** **Osteogenesis imperfecta**, most consistent with **type I** — an autosomal dominant, mild-to-moderate form. The presence of dentinogenesis imperfecta may be described historically as **OI type IB**.
**Genes most often involved:** **COL1A1** and **COL1A2**, encoding the α1 and α2 chains of t... | 35 | 154 | 1,573 | 0.009746 | false | null | 1 | 1 | null | null | autosomal dominant | true | false | 119 | 15.2 |
onto_map | Ontology mapping (ICD-10-CM to SNOMED CT) | qwen/qwen3.8-max-0902 | null | 38.61 | 184 | 2,000 | 0.012368 | false | null | 0 | 0 | diabetes mellitus type 2|granular | null | null | false | false | 0 | null |
onc_staging | Oncology staging | null | null | null | null | null | 0 | null | null | 0.5 | 0 | null | null | null | null | null | null | null |
cardio_gdm | Cardiology guideline | null | null | null | null | null | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
ddi_warfarin | Drug-drug interaction | null | null | null | null | null | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
rare_bone | Rare-disease workup | null | null | null | null | null | 0 | null | null | 0.667 | 0 | null | null | null | null | null | null | null |
onto_map | Ontology mapping (ICD-10-CM to SNOMED CT) | null | null | null | null | null | 0 | null | null | 0.5 | 0 | null | null | null | null | null | null | null |
null | null | null | null | 3.7 | 60 | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | 4.8 | 60 | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | 2.4 | 60 | null | null | null | null | null | null | null | null | null | null | null | null | null |
onc_staging | Oncology staging | liquid/lfm-2.5-2.6b:free | null | 10.71 | null | 1,422 | 0 | null | null | 0.5 | 0 | null | null | null | null | null | null | null |
cardio_gdm | Cardiology guideline | liquid/lfm-2.5-2.6b:free | null | 4.23 | null | 1,027 | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
ddi_warfarin | Drug-drug interaction | liquid/lfm-2.5-2.6b:free | null | 4.21 | null | 1,642 | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
rare_bone | Rare-disease workup | liquid/lfm-2.5-2.6b:free | null | 1.8 | null | 811 | 0 | null | null | 0.667 | 0 | null | null | null | null | null | null | null |
onto_map | Ontology mapping (ICD-10-CM to SNOMED CT) | liquid/lfm-2.5-2.6b:free | null | 0.64 | null | 190 | 0 | null | null | 0.5 | 0 | null | null | null | null | null | null | null |
onc_staging | Oncology staging | nvidia/nemotron-3-ultra-550b-a55b:free | null | 16.8 | null | 462 | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
cardio_gdm | Cardiology guideline | nvidia/nemotron-3-ultra-550b-a55b:free | null | 13 | null | 833 | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
ddi_warfarin | Drug-drug interaction | nvidia/nemotron-3-ultra-550b-a55b:free | null | 19.35 | null | 1,430 | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
rare_bone | Rare-disease workup | nvidia/nemotron-3-ultra-550b-a55b:free | null | 11.02 | null | 315 | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
onto_map | Ontology mapping (ICD-10-CM to SNOMED CT) | nvidia/nemotron-3-ultra-550b-a55b:free | null | 23.31 | null | 1,318 | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
onc_staging | Oncology staging | qwen/qwen3.8-max-0902 | null | 40.07 | null | 2,000 | 0.012322 | null | null | 0 | 0 | null | null | null | null | null | null | null |
cardio_gdm | Cardiology guideline | qwen/qwen3.8-max-0902 | null | 40.87 | null | 2,000 | 0.012324 | null | null | 0 | 0 | null | null | null | null | null | null | null |
ddi_warfarin | Drug-drug interaction | qwen/qwen3.8-max-0902 | null | 44.25 | null | 2,000 | 0.012318 | null | null | 0 | 0 | null | null | null | null | null | null | null |
rare_bone | Rare-disease workup | qwen/qwen3.8-max-0902 | null | 35 | null | 1,573 | 0.009746 | null | null | 1 | 1 | null | null | null | null | null | null | null |
onto_map | Ontology mapping (ICD-10-CM to SNOMED CT) | qwen/qwen3.8-max-0902 | null | 38.61 | null | 2,000 | 0.012368 | null | null | 0 | 0 | null | null | null | null | null | null | null |
null | null | liquid/lfm-2.5-2.6b:free | null | null | null | null | null | null | null | 0.733 | 0.4 | null | null | null | null | null | null | 13.2 |
null | null | nvidia/nemotron-3-ultra-550b-a55b:free | null | null | null | null | null | null | null | 1 | 1 | null | null | null | null | null | null | 13.9 |
null | null | qwen/qwen3.8-max-0902 | null | null | null | null | null | null | null | 0.2 | 0.2 | null | null | null | null | null | null | 15.2 |
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