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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', 'answered_by', 'gp_was_wrong'}) and 14 missing columns ({'seconds', 'model', 'unsafe_claims', 'completion_tokens', 'reading_grade', 'call_error', 'missed', 'words', 'prompt_tokens', 'bonus_hits', 'hedges', 'refused', 'cached', 'answer'}).
This happened while the csv dataset builder was generating data using
hf://datasets/webstk3/lab04-gp-vs-specialist/cascade.csv (at revision 575c35ef4ae75bf6b05d17681bad4218377023c6), ['hf://datasets/webstk3/lab04-gp-vs-specialist@575c35ef4ae75bf6b05d17681bad4218377023c6/answers.csv', 'hf://datasets/webstk3/lab04-gp-vs-specialist@575c35ef4ae75bf6b05d17681bad4218377023c6/cascade.csv', 'hf://datasets/webstk3/lab04-gp-vs-specialist@575c35ef4ae75bf6b05d17681bad4218377023c6/partA_temperature_sweep.csv', 'hf://datasets/webstk3/lab04-gp-vs-specialist@575c35ef4ae75bf6b05d17681bad4218377023c6/per_question.csv', 'hf://datasets/webstk3/lab04-gp-vs-specialist@575c35ef4ae75bf6b05d17681bad4218377023c6/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('float64'), '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', 'answered_by', 'gp_was_wrong'}) and 14 missing columns ({'seconds', 'model', 'unsafe_claims', 'completion_tokens', 'reading_grade', 'call_error', 'missed', 'words', 'prompt_tokens', 'bonus_hits', 'hedges', 'refused', 'cached', 'answer'}).
This happened while the csv dataset builder was generating data using
hf://datasets/webstk3/lab04-gp-vs-specialist/cascade.csv (at revision 575c35ef4ae75bf6b05d17681bad4218377023c6), ['hf://datasets/webstk3/lab04-gp-vs-specialist@575c35ef4ae75bf6b05d17681bad4218377023c6/answers.csv', 'hf://datasets/webstk3/lab04-gp-vs-specialist@575c35ef4ae75bf6b05d17681bad4218377023c6/cascade.csv', 'hf://datasets/webstk3/lab04-gp-vs-specialist@575c35ef4ae75bf6b05d17681bad4218377023c6/partA_temperature_sweep.csv', 'hf://datasets/webstk3/lab04-gp-vs-specialist@575c35ef4ae75bf6b05d17681bad4218377023c6/per_question.csv', 'hf://datasets/webstk3/lab04-gp-vs-specialist@575c35ef4ae75bf6b05d17681bad4218377023c6/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: T2**
- Tumor size 2.5 cm falls within the range >2 cm but ≤5 cm (T2).
**N Category: N2**
- Two axillary sentinel lymph nodes with metastases corresponds to 2–3 positive axillary nodes (N2).
**M Category: M0**
- No distant metastases present.
... | 11.86 | 125 | 1,363 | 0 | true | null | 0.5 | 0 | n1|iib | null | sentinel | false | false | 87 | 10.5 |
cardio_gdm | Cardiology guideline | liquid/lfm-2.5-2.6b:free | **Four drug classes in guideline-directed medical therapy for HFrEF:**
1. **ACE inhibitors** (or ARNIs such as sacubitril/valsartan — newer guidelines prefer ARNis over ACEi when tolerable)
2. **Beta-blockers** (cardio-selective agents like carvedilol, metoprolol succinate, or bisoprolol)
3. **Mineralocorticoid recept... | 9.74 | 122 | 1,188 | 0 | true | null | 1 | 1 | null | null | null | true | false | 131 | 13.7 |
ddi_warfarin | Drug-drug interaction | liquid/lfm-2.5-2.6b:free | This is a critical interaction that must be addressed immediately. Here is the explanation and recommendation.
## Mechanism of Interaction
**St John's wort induces CYP2C9**, the primary enzyme responsible for metabolizing warfarin (specifically S-warfarin, the more potent enantiomer). By increasing CYP2C9 activity, S... | 4.69 | 120 | 1,007 | 0 | true | null | 0.75 | 0 | bleed | null | cyp2c9|cyp3a4|monitor|ssri|sertraline | true | false | 340 | 13.3 |
rare_bone | Rare-disease workup | liquid/lfm-2.5-2.6b:free | **Diagnosis:** Autosomal dominant osteopetrosis (ADOPT)
**Genes most often involved:**
- **ATP6AP2** — responsible for approximately 50% of ADOPT cases; encodes an ATPase subunit of the v-ATPase proton pump in lysosomes
- **SLC37A3** — second most common gene (~20% of cases); encodes a glucose transporter
- **TMEM106B... | 3.57 | 119 | 1,041 | 0 | true | null | 0.333 | 0 | osteogenesis imperfecta|col1a1 | null | autosomal dominant | true | false | 126 | 27.5 |
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 SCTID'), google(query='SNOMED CT ICD-10 crosswalk E11.9 type 2 diabetes mellitus without complications')]<|tool_call_end|> | 0.89 | 144 | 196 | 0 | true | null | 0.5 | 0 | granular | null | map | false | false | 32 | 9.2 |
onc_staging | Oncology staging | nvidia/nemotron-3-ultra-550b-a55b:free | **AJCC 8th Edition Anatomic Staging**
| Category | Classification | Basis |
|----------|----------------|-------|
| **T** | **T2** | Tumor >2 cm but ≤5 cm (2.5 cm invasive ductal carcinoma) |
| **N** | **N1** (pN1a) | Metastases in 1–3 axillary lymph nodes (2 positive sentinel nodes) |
| **M** | **M0** | No distant me... | 7.36 | 123 | 443 | 0 | true | null | 1 | 1 | null | null | sentinel | false | false | 55 | 14.3 |
cardio_gdm | Cardiology guideline | nvidia/nemotron-3-ultra-550b-a55b:free | **Four GDMT pillars for HFrEF (2022 ACC/AHA/HFSA Guideline):**
1. **ARNI (preferred) / ACEi / ARB** – renin–angiotensin inhibition
2. **Evidence-based beta-blocker** (bisoprolol, carvedilol, metoprolol succinate)
3. **Mineralocorticoid receptor antagonist** (spironolactone or eplerenone)
4. **SGLT2 inhibitor** (d... | 88.03 | 126 | 1,410 | 0 | true | null | 1 | 1 | null | null | null | true | false | 92 | 13.6 |
ddi_warfarin | Drug-drug interaction | nvidia/nemotron-3-ultra-550b-a55b:free | **Fluconazole–warfarin**
- **Mechanism:** Fluconazole is a potent **CYP2C9 inhibitor** (primary metabolic pathway for S‑warfarin) and also inhibits CYP3A4.
- **Effect:** Increases warfarin exposure → **INR rises**, bleeding risk.
- **Evidence:** FDA warfarin label, CPIC guideline for CYP2C9, Stockley’s, BNF.
- ... | 16.41 | 125 | 780 | 0 | true | null | 1 | 1 | null | null | cyp2c9|cyp3a4|monitor|ssri | true | false | 179 | 10.9 |
rare_bone | Rare-disease workup | nvidia/nemotron-3-ultra-550b-a55b:free | **Diagnosis:** Osteogenesis Imperfecta (OI), most likely Type I (classic non-deforming OI with blue sclerae and dentinogenesis imperfecta) given the autosomal dominant three-generation pedigree.
**Genes most often involved:**
- *COL1A1* (≈ 90 % of molecularly confirmed cases)
- *COL1A2* (≈ 10 %)
Together these a... | 32.62 | 120 | 444 | 0 | true | null | 1 | 1 | null | null | autosomal dominant | true | false | 97 | 20 |
onto_map | Ontology mapping (ICD-10-CM to SNOMED CT) | nvidia/nemotron-3-ultra-550b-a55b:free | **Mapping**
- **SNOMED CT concept title:** Type 2 diabetes mellitus (disorder)
- **SCTID:** 44054006
*Source: NLM/UMLS ICD-10-CM to SNOMED CT map (2024 release).*
**Why mapping is rarely one-to-one (two sentences)**
ICD-10-CM is a classification designed for statistical reporting and reimbursement, so it grou... | 11.9 | 148 | 725 | 0 | true | null | 1 | 1 | null | null | 44054006|map|reimbursement | false | false | 94 | 14 |
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 | 0.75 | 0 | null | null | null | null | null | null | null |
rare_bone | Rare-disease workup | null | null | null | null | null | 0 | null | null | 0.333 | 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 | 50.8 | 60 | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | 31.9 | 60 | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | 19.9 | 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 | 11.86 | null | 1,363 | 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 | 9.74 | null | 1,188 | 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 | 4.69 | null | 1,007 | 0 | null | null | 0.75 | 0 | null | null | null | null | null | null | null |
rare_bone | Rare-disease workup | liquid/lfm-2.5-2.6b:free | null | 3.57 | null | 1,041 | 0 | null | null | 0.333 | 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 | 0.89 | null | 196 | 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 | 7.36 | null | 443 | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
cardio_gdm | Cardiology guideline | nvidia/nemotron-3-ultra-550b-a55b:free | null | 88.03 | null | 1,410 | 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 | 16.41 | null | 780 | 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 | 32.62 | null | 444 | 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 | 11.9 | null | 725 | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
null | null | liquid/lfm-2.5-2.6b:free | null | null | null | null | null | null | null | 0.617 | 0.2 | null | null | null | null | null | null | 14.8 |
null | null | nvidia/nemotron-3-ultra-550b-a55b:free | null | null | null | null | null | null | null | 1 | 1 | null | null | null | null | null | null | 14.6 |
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