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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', 'answered_by', 'gp_was_wrong', 'gp_flagged'}) and 14 missing columns ({'missed', 'answer', 'seconds', 'refused', 'bonus_hits', 'call_error', 'cached', 'reading_grade', 'unsafe_claims', 'prompt_tokens', 'completion_tokens', 'words', 'hedges', 'model'}).
This happened while the csv dataset builder was generating data using
hf://datasets/LienJ/lab04-gp-vs-specialist/cascade.csv (at revision 33ebb5b18b1b858490b3946c21d0a74c8f193e0c), ['hf://datasets/LienJ/lab04-gp-vs-specialist@33ebb5b18b1b858490b3946c21d0a74c8f193e0c/answers.csv', 'hf://datasets/LienJ/lab04-gp-vs-specialist@33ebb5b18b1b858490b3946c21d0a74c8f193e0c/cascade.csv', 'hf://datasets/LienJ/lab04-gp-vs-specialist@33ebb5b18b1b858490b3946c21d0a74c8f193e0c/partA_temperature_sweep.csv', 'hf://datasets/LienJ/lab04-gp-vs-specialist@33ebb5b18b1b858490b3946c21d0a74c8f193e0c/per_question.csv', 'hf://datasets/LienJ/lab04-gp-vs-specialist@33ebb5b18b1b858490b3946c21d0a74c8f193e0c/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', 'answered_by', 'gp_was_wrong', 'gp_flagged'}) and 14 missing columns ({'missed', 'answer', 'seconds', 'refused', 'bonus_hits', 'call_error', 'cached', 'reading_grade', 'unsafe_claims', 'prompt_tokens', 'completion_tokens', 'words', 'hedges', 'model'}).
This happened while the csv dataset builder was generating data using
hf://datasets/LienJ/lab04-gp-vs-specialist/cascade.csv (at revision 33ebb5b18b1b858490b3946c21d0a74c8f193e0c), ['hf://datasets/LienJ/lab04-gp-vs-specialist@33ebb5b18b1b858490b3946c21d0a74c8f193e0c/answers.csv', 'hf://datasets/LienJ/lab04-gp-vs-specialist@33ebb5b18b1b858490b3946c21d0a74c8f193e0c/cascade.csv', 'hf://datasets/LienJ/lab04-gp-vs-specialist@33ebb5b18b1b858490b3946c21d0a74c8f193e0c/partA_temperature_sweep.csv', 'hf://datasets/LienJ/lab04-gp-vs-specialist@33ebb5b18b1b858490b3946c21d0a74c8f193e0c/per_question.csv', 'hf://datasets/LienJ/lab04-gp-vs-specialist@33ebb5b18b1b858490b3946c21d0a74c8f193e0c/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 string | 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 | null | 26.83 | 125 | 2,000 | 0 | true | empty answer: all 2000 completion tokens went to reasoning (2000). Raise MAX_TOKENS. | 0 | 0 | t2|n1|m0|iib | null | null | false | false | 0 | null |
cardio_gdm | Cardiology guideline | liquid/lfm-2.5-2.6b:free | **Guideline-Directed Medical Therapy (GDMT) for HFrEF (ACC/AHA/HFSA 2022)**
The four core drug classes that constitute guideline-directed medical therapy for HFrEF are:
1. **Angiotensin-converting enzyme inhibitor (ACEi)** โ or angiotensin receptorโneprilysin inhibitor (ARNI) such as sacubitril/valsartan
2. **Beta-... | 12.9 | 122 | 1,371 | 0 | true | null | 1 | 1 | null | null | null | true | false | 181 | 13.6 |
ddi_warfarin | Drug-drug interaction | liquid/lfm-2.5-2.6b:free | This is a critical medication interaction that requires firm guidance. Here is the analysis:
## Mechanism of Interaction
**St John's wort** is a potent inducer of the cytochrome P450 enzyme **CYP2C9**. Warfarin is primarily metabolized by CYP2C9 (for its more active S-enantiomer) and CYP3A4 (for R-warfarin). By induc... | 10.55 | 120 | 940 | 0 | true | null | 1 | 1 | null | null | cyp2c9|cyp3a4|monitor|ssri|sertraline | true | false | 258 | 10.7 |
rare_bone | Rare-disease workup | liquid/lfm-2.5-2.6b:free | Based on the clinical presentation, the most likely diagnosis is **autosomal dominant osteopetrosis** (also called osteosclerosis).
**Genes most often involved:** The **RAB7** gene (accounting for approximately 70% of autosomal dominant cases). Other genes include *LRRC1* (autosomal recessive form), *TCIRG1*, *CCDC11*... | 10.93 | 119 | 1,306 | 0 | true | null | 0 | 0 | osteogenesis imperfecta|col1a1|genetic test | null | autosomal dominant | true | false | 151 | 19.4 |
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 ICD-10 crosswalk E11.9')]<|tool_call_end|> | 0.81 | 144 | 186 | 0 | true | null | 0.5 | 0 | granular | null | map | false | false | 27 | 6.3 |
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 โค5 cm (2.5 cm) |
| **N** | **N1** (pN1a) | Metastases in 1โ3 axillary lymph nodes (2 sentinel nodes positive) |
| **M** | **M0** | No distant metastases on imaging |
*... | 12.44 | 123 | 467 | 0 | true | null | 1 | 1 | null | null | sentinel | false | false | 52 | 11 |
cardio_gdm | Cardiology guideline | nvidia/nemotron-3-ultra-550b-a55b:free | **Four GDMT pillars for HFrEF (2022 AHA/ACC/HFSA Guideline):**
1. **Reninโangiotensin system inhibitor** โ ARNI preferred (sacubitril/valsartan), or ACEi/ARB
2. **Evidence-based beta-blocker** โ carvedilol, metoprolol succinate, or bisoprolol
3. **Mineralocorticoid receptor antagonist (MRA)** โ spironolactone or ep... | 42.73 | 126 | 768 | 0 | true | null | 1 | 1 | null | null | null | true | false | 126 | 15.5 |
ddi_warfarin | Drug-drug interaction | nvidia/nemotron-3-ultra-550b-a55b:free | **Fluconazoleโwarfarin**
- **Mechanism:** Fluconazole is a potent CYP2C9 inhibitor โ โ metabolism of Sโwarfarin โ โ INR/bleeding risk.
- **Evidence:** FDA โblack boxโ warning; CHEST 2012/2018 guidelines (Grade 1B) recommend **avoiding** or, if unavoidable, reducing warfarin dose by ~20โ30โฏ% and checking INR within ... | 26.82 | 125 | 819 | 0 | true | null | 1 | 1 | null | null | cyp2c9|cyp3a4 | true | false | 170 | 12.4 |
rare_bone | Rare-disease workup | nvidia/nemotron-3-ultra-550b-a55b:free | **Diagnosis:** Osteogenesis Imperfecta (OI), most likely Type I or III/IV (autosomal dominant).
**Genes most often involved:** *COL1A1* and *COL1A2* (together account for >90% of cases).
**Confirmatory test:** Molecular genetic testing โ targeted sequencing of *COL1A1* and *COL1A2* (or a skeletal dysplasia gene p... | 9.89 | 120 | 385 | 0 | true | null | 1 | 1 | null | null | autosomal dominant | true | false | 66 | 16.2 |
onto_map | Ontology mapping (ICD-10-CM to SNOMED CT) | nvidia/nemotron-3-ultra-550b-a55b:free | **SNOMED CT concept:** Type 2 diabetes mellitus
**SCTID:** 44054006
ICDโ10โCM is a statistical classification that bundles etiology, site, severity, and complication status into a single billing code, whereas SNOMED CT is a granular clinical terminology that represents each clinical dimension as a separate, compos... | 13.12 | 148 | 868 | 0 | true | null | 1 | 1 | null | null | 44054006|map | false | false | 74 | 22.6 |
onc_staging | Oncology staging | ~openai/gpt-astra-latest | Using **AJCC 8th-edition anatomic breast staging**, assuming at least one nodal metastasis is **>2 mm** (macrometastasis):
- **T2:** Tumor >2 cm but โค5 cm; this tumor is 2.5 cm.
- **N1** (pathologically **pN1a**): Metastases in 1โ3 ipsilateral axillary lymph nodes; two are involved.
- **M0** (clinically **cM0**): No d... | 11.3 | 117 | 445 | 0.02342 | true | null | 1 | 1 | null | null | micrometast | false | false | 70 | 10.7 |
cardio_gdm | Cardiology guideline | ~openai/gpt-astra-latest | Per the **2022 AHA/ACC/HFSA heart-failure guideline**, the four foundational drug classes for HFrEF are:
1. **Reninโangiotensin system inhibition:** preferably an **ARNI** (sacubitril/valsartan); an ACE inhibitor or ARB if ARNI is not feasible.
2. **Evidence-based ฮฒ-blocker:** carvedilol, metoprolol succinate, or biso... | 12.84 | 117 | 573 | 0.02982 | true | null | 1 | 1 | null | null | titrate|potassium|renal function | true | false | 174 | 12.5 |
ddi_warfarin | Drug-drug interaction | ~openai/gpt-astra-latest | **Do not start St Johnโs wort. Contact the prescriber or anticoagulation service promptly to plan management of the fluconazoleโwarfarin interaction.** A currently stable INR of 2.4 does not protect against either interaction.
| Drug | Mechanism and expected effect | Recommendation |
|---|---|---|
| **Fluconazole 200 ... | 19.77 | 111 | 722 | 0.03721 | true | null | 1 | 1 | null | null | cyp2c9|monitor | true | false | 250 | 12.9 |
rare_bone | Rare-disease workup | ~openai/gpt-astra-latest | - **Most likely diagnosis:** **Osteogenesis imperfecta (OI)**, most likely an **autosomal-dominant, type I collagenโrelated form**. Recurrent low-trauma fractures, blue-grey sclerae, dentinogenesis imperfecta, and vertical transmission across three generations are characteristic. The clinical subtype cannot be assigned... | 6.63 | 111 | 260 | 0.01411 | true | null | 1 | 1 | null | null | null | true | false | 109 | 15.9 |
onto_map | Ontology mapping (ICD-10-CM to SNOMED CT) | ~openai/gpt-astra-latest | **Closest explicit SNOMED CT match:** **Type 2 diabetes mellitus without complication (disorder)** โ **SCTID 313436004**. Validate against your institutionโs SNOMED CT edition and release before implementation.
ICD-10-CM groups conditions for statistical reporting and billing, whereas SNOMED CT represents more granula... | 13.08 | 135 | 489 | 0.0258 | true | null | 1 | 1 | null | null | map | false | false | 77 | 13.7 |
onc_staging | Oncology staging | null | null | null | null | null | 0 | null | null | 0 | 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 | 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 | 63.4 | 60 | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | 26 | 60 | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | 27.2 | 60 | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | 24.6 | 60 | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | 17.3 | 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 | 26.83 | null | 2,000 | 0 | null | null | 0 | 0 | null | null | null | null | null | null | null |
cardio_gdm | Cardiology guideline | liquid/lfm-2.5-2.6b:free | null | 12.9 | null | 1,371 | 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 | 10.55 | null | 940 | 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 | 10.93 | null | 1,306 | 0 | null | null | 0 | 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 | 0.81 | null | 186 | 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 | 12.44 | null | 467 | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
cardio_gdm | Cardiology guideline | nvidia/nemotron-3-ultra-550b-a55b:free | null | 42.73 | null | 768 | 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 | 26.82 | null | 819 | 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 | 9.89 | null | 385 | 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 | 13.12 | null | 868 | 0 | null | null | 1 | 1 | null | null | null | null | null | null | null |
onc_staging | Oncology staging | ~openai/gpt-astra-latest | null | 11.3 | null | 445 | 0.02342 | null | null | 1 | 1 | null | null | null | null | null | null | null |
cardio_gdm | Cardiology guideline | ~openai/gpt-astra-latest | null | 12.84 | null | 573 | 0.02982 | null | null | 1 | 1 | null | null | null | null | null | null | null |
ddi_warfarin | Drug-drug interaction | ~openai/gpt-astra-latest | null | 19.77 | null | 722 | 0.03721 | null | null | 1 | 1 | null | null | null | null | null | null | null |
rare_bone | Rare-disease workup | ~openai/gpt-astra-latest | null | 6.63 | null | 260 | 0.01411 | null | null | 1 | 1 | null | null | null | null | null | null | null |
onto_map | Ontology mapping (ICD-10-CM to SNOMED CT) | ~openai/gpt-astra-latest | null | 13.08 | null | 489 | 0.0258 | 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 | 0.5 | 0.4 | null | null | null | null | null | null | 12.5 |
null | null | nvidia/nemotron-3-ultra-550b-a55b:free | null | null | null | null | null | null | null | 1 | 1 | null | null | null | null | null | null | 15.5 |
null | null | ~openai/gpt-astra-latest | null | null | null | null | null | null | null | 1 | 1 | null | null | null | null | null | null | 13.1 |
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