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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 10 new columns ({'n_chunks', 'mrr_vector', 'ceiling_recall', 'pool_share', 'median_chars', 'precision_reranked', 'mean_ms', 'target_chars', 'pool', 'mrr_reranked'}) and 25 missing columns ({'cached', 'model', 'unsafe_claims', 'invented_dose', 'voice', 'coverage', 'words', 'truncated', 'answerable', 'seconds', 'call_error', 'dose_error', 'passage_pages', 'full_credit', 'condition', 'cost_usd', 'cited_pages', 'completion_tokens', 'reasoning_tokens', 'answer', 'finish_reason', 'question', 'citation_correct', 'cited_any', 'abstained'}).

This happened while the csv dataset builder was generating data using

hf://datasets/coinhead/lab08-rag-answer-the-patient/chunk_size_sweep.csv (at revision e62a0bf1d8553f58051be902d8b8c1200f0fb0b2), ['hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/answers.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/chunk_size_sweep.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/chunks.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/generation_scorecard.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/gold_questions.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/handbook_pages.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/passages_side_by_side.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/rank_movement.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/retrieval_before_after.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/retrieval_summary.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 784, 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 795, 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
              target_chars: int64
              n_chunks: int64
              median_chars: int64
              pool: int64
              pool_share: double
              ceiling_recall: double
              mrr_reranked: double
              precision_reranked: double
              mrr_vector: double
              mean_ms: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1485
              to
              {'question': Value('string'), 'condition': Value('string'), 'voice': Value('string'), 'answerable': Value('bool'), 'model': Value('string'), 'answer': Value('string'), 'seconds': Value('float64'), 'completion_tokens': Value('int64'), 'reasoning_tokens': Value('int64'), 'finish_reason': Value('string'), 'truncated': Value('bool'), 'cost_usd': Value('float64'), 'cached': Value('bool'), 'call_error': Value('float64'), 'passage_pages': Value('string'), 'cited_any': Value('bool'), 'citation_correct': Value('bool'), 'abstained': Value('bool'), 'invented_dose': Value('bool'), 'dose_error': Value('bool'), 'coverage': Value('float64'), 'full_credit': Value('int64'), 'unsafe_claims': Value('float64'), 'cited_pages': Value('float64'), 'words': Value('int64')}
              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 10 new columns ({'n_chunks', 'mrr_vector', 'ceiling_recall', 'pool_share', 'median_chars', 'precision_reranked', 'mean_ms', 'target_chars', 'pool', 'mrr_reranked'}) and 25 missing columns ({'cached', 'model', 'unsafe_claims', 'invented_dose', 'voice', 'coverage', 'words', 'truncated', 'answerable', 'seconds', 'call_error', 'dose_error', 'passage_pages', 'full_credit', 'condition', 'cost_usd', 'cited_pages', 'completion_tokens', 'reasoning_tokens', 'answer', 'finish_reason', 'question', 'citation_correct', 'cited_any', 'abstained'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/coinhead/lab08-rag-answer-the-patient/chunk_size_sweep.csv (at revision e62a0bf1d8553f58051be902d8b8c1200f0fb0b2), ['hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/answers.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/chunk_size_sweep.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/chunks.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/generation_scorecard.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/gold_questions.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/handbook_pages.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/passages_side_by_side.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/rank_movement.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/retrieval_before_after.csv', 'hf://datasets/coinhead/lab08-rag-answer-the-patient@e62a0bf1d8553f58051be902d8b8c1200f0fb0b2/retrieval_summary.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
condition
string
voice
string
answerable
bool
model
string
answer
string
seconds
float64
completion_tokens
int64
reasoning_tokens
int64
finish_reason
string
truncated
bool
cost_usd
float64
cached
bool
call_error
null
passage_pages
string
cited_any
bool
citation_correct
bool
abstained
bool
invented_dose
bool
dose_error
bool
coverage
float64
full_credit
int64
unsafe_claims
null
cited_pages
float64
words
int64
metformin_ckd
ungrounded
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
**Maximum dose: 1000 mg/day (500 mg twice daily).** **Continue metformin** if she is tolerating it and deriving glycemic benefit; do not stop solely for an eGFR of 38. **Rationale (per FDA labeling & ADA/KDIGO guidelines):** - eGFR 30–44 mL/min/1.73 m²: max 1000 mg/day; do not initiate new therapy, but may continu...
5.12
547
257
stop
false
0
false
null
-
false
false
false
true
false
1
0
null
null
123
metformin_ckd
vector
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
The maximum metformin dose for an eGFR of 38 is 1000 mg per day, so her current 2000 mg/day should be reduced to 1000 mg/day [p. 4]. She should continue metformin at this reduced dose rather than stopping abruptly, with A1c rechecked in three months to plan a replacement agent [p. 4].
10.02
1,222
1,130
stop
false
0
false
null
4,4,4
true
true
false
true
false
1
1
null
4
52
metformin_ckd
reranked
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
The maximum metformin dose for an eGFR of 38 is 1000 mg per day. [p. 4] The patient should continue metformin but have the dose reduced to 1000 mg daily rather than stopping it abruptly. [p. 4]
13.47
1,082
993
stop
false
0
false
null
4,4,3
true
true
false
true
false
1
1
null
4
37
mech_valve_inr
ungrounded
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
For a patient with a mechanical mitral valve on warfarin, the target INR range is **2.5–3.5** (or 3.0–4.0 for certain high‑risk valves/patients per some guidelines). *Confidence: High (based on ACC/AHA, ESC, and CHEST guideline consensus).*
0.97
131
73
stop
false
0
false
null
-
false
false
false
false
false
1
0
null
null
35
mech_valve_inr
vector
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
For a patient with a mechanical mitral valve on warfarin, the target INR range is 2.5 to 3.5. [p. 6]
5.32
156
116
stop
false
0
false
null
6,6,6
true
true
false
false
false
1
1
null
6
20
mech_valve_inr
reranked
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
For a patient with a mechanical mitral valve on warfarin, the target INR range is 2.5 to 3.5. [p. 6]
5.32
156
116
stop
false
0
true
null
6,6,6
true
true
false
false
false
1
1
null
6
20
st_johns_wort
ungrounded
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
**No, you should not start St. John’s wort while taking warfarin.** **Why:** St. John’s wort strongly induces the liver enzymes (CYP3A4, CYP2C9) and the transporter P-glycoprotein that metabolize and clear warfarin. This **markedly lowers warfarin levels**, reducing its anticoagulant effect and **increasing your risk ...
9.82
273
61
stop
false
0
false
null
-
false
false
false
false
false
1
0
null
null
135
st_johns_wort
vector
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
No, St John's wort is not safe with warfarin because it induces CYP3A4 and CYP2C9, causing warfarin to be cleared faster, the INR to fall, and the patient to be at risk of clotting rather than bleeding [p. 7]. The handbook advises against St John's wort and suggests offering an SSRI such as sertraline for low mood inst...
2.24
265
158
stop
false
0
false
null
7,7,7
true
true
false
false
false
1
1
null
7
70
st_johns_wort
reranked
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
No, St John's wort induces CYP3A4 and CYP2C9, causing warfarin to be cleared faster, the INR to fall, and the patient to be at risk of clotting rather than bleeding. [p. 7] The handbook advises against this combination and suggests offering an SSRI such as sertraline for low mood instead. [p. 7]
3.44
299
211
stop
false
0
false
null
7,7,6
true
true
false
false
false
1
1
null
7
52
nephrology_referral
ungrounded
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
I don't have the handbook you are referring to—no reference passages were provided. **From general clinical knowledge (KDIGO/NICE guidelines):** * **eGFR < 30 mL/min/1.73 m² (G4/G5):** Referral is generally recommended. * **eGFR < 60 mL/min/1.73 m² (G3a/G3b) with complications:** Referral is advised for rapid decl...
3.43
265
75
stop
false
0
false
null
-
false
false
false
true
false
1
0
null
null
103
nephrology_referral
vector
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
The handbook recommends referral to nephrology at stage G4, which corresponds to an eGFR below 30 mL/min/1.73 m². [p. 5] Earlier referral may be considered for rapid progression, heavy albuminuria, resistant hypertension, or an unexplained fall in eGFR of more than 25 percent. [p. 5]
4.41
424
347
stop
false
0
false
null
5,5,2
true
true
false
true
false
1
1
null
5
45
nephrology_referral
reranked
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
The handbook recommends referring to nephrology at CKD stage G4, defined as an eGFR below 30 mL/min/1.73 m² [p. 5]. Earlier referral is advised if there is rapid progression, heavy albuminuria, resistant hypertension, or an unexplained drop in eGFR of more than 25% [p. 5].
2.94
231
160
stop
false
0
false
null
5,1,1
true
true
false
true
false
1
1
null
5
45
metformin_titration
ungrounded
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
**Metformin dose titration:** - **Typical starting dose:** 500 mg once daily with the evening meal (or 500 mg twice daily with breakfast and dinner). - **Titration speed:** Increase by 500 mg weekly (or 850 mg every 2 weeks) as tolerated, up to a usual maximum of 2000–2550 mg/day in divided doses. - **Extended-release ...
2.27
307
80
stop
false
0
false
null
-
false
false
false
true
false
1
0
null
null
147
metformin_titration
vector
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
You can increase the dose by 500 mg each week as tolerated and should take metformin with food to reduce gastrointestinal upset [p. 3].
7.9
872
894
stop
false
0
false
null
3,4,4
true
true
false
true
false
1
1
null
3
24
metformin_titration
reranked
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
You can increase the metformin dose by 500 mg each week as tolerated. [p. 3] You must take metformin with food, as this is the single most effective way to reduce gastrointestinal upset. [p. 3]
9
740
757
stop
false
0
false
null
3,4,3
true
true
false
true
false
1
1
null
3
35
paediatric_amoxicillin
ungrounded
clinician
false
nvidia/nemotron-3-ultra-550b-a55b:free
**Amoxicillin dose for acute otitis media in a 4‑year‑old:** - **High‑dose amoxicillin:** 80–90 mg/kg/day divided **twice daily (BID)**. - **Typical 4‑year‑old weight:** ~16–18 kg → **≈700–800 mg per dose BID** (e.g., 750 mg BID). - **Suspension (400 mg/5 mL):** ~9–10 mL BID. - **Duration:** 10 days (standard f...
2.84
468
248
stop
false
0
false
null
-
false
false
false
true
false
0
0
null
null
67
paediatric_amoxicillin
vector
clinician
false
nvidia/nemotron-3-ultra-550b-a55b:free
NOT IN DOCUMENT
0.94
72
75
stop
false
0
false
null
6,4,3
false
false
true
false
false
0
1
null
null
3
paediatric_amoxicillin
reranked
clinician
false
nvidia/nemotron-3-ultra-550b-a55b:free
NOT IN DOCUMENT
0.94
72
75
stop
false
0
true
null
6,4,3
false
false
true
false
false
0
1
null
null
3
null
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ungrounded
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0.833
0
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vector
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0.833
1
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reranked
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0.833
1
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null
A 71-year-old on metformin 1000 mg twice daily now has an eGFR of 38. What is the maximum metformin dose we can continue, and should we keep her on it at all?
null
clinician
true
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What INR range should we target for a patient with a mechanical mitral valve who is on warfarin?
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clinician
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i take warfarin and i want to start st john's wort for my low mood. is that ok?
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patient
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At what level of kidney function does this handbook say we should refer a patient to nephrology?
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clinician
true
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how fast can i increase my metformin dose and should i take it with food?
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patient
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What amoxicillin dose should we give a 4-year-old with acute otitis media?
null
clinician
false
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metformin_ckd
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metformin_ckd
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metformin_ckd
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metformin_ckd
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mech_valve_inr
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mech_valve_inr
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mech_valve_inr
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mech_valve_inr
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mech_valve_inr
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st_johns_wort
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