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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/LienJ/lab08-rag-answer-the-patient/chunk_size_sweep.csv (at revision a1ad45dbcef897ce7d8a55fad72f4495d608de19), ['hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/answers.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/chunk_size_sweep.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/chunks.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/generation_scorecard.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/gold_questions.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/handbook_pages.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/passages_side_by_side.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/rank_movement.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/retrieval_before_after.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/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('string'), '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/LienJ/lab08-rag-answer-the-patient/chunk_size_sweep.csv (at revision a1ad45dbcef897ce7d8a55fad72f4495d608de19), ['hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/answers.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/chunk_size_sweep.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/chunks.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/generation_scorecard.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/gold_questions.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/handbook_pages.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/passages_side_by_side.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/rank_movement.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/retrieval_before_after.csv', 'hf://datasets/LienJ/lab08-rag-answer-the-patient@a1ad45dbcef897ce7d8a55fad72f4495d608de19/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 with dose reduction** — do not stop solely for this eGFR. **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 *continue* with reduction. - eGFR <30: contraindic...
4.04
479
273
stop
false
0
false
null
-
false
false
false
true
false
1
0
null
null
72
metformin_ckd
vector
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
For an eGFR of 38 (30–44 range), the maximum metformin dose is 1000 mg per day. Since the patient is already established on a higher dose, reduce it to 1000 mg daily rather than stopping abruptly, and recheck A1c in three months to plan a replacement agent. [p. 4]
3.12
310
207
stop
false
0
false
null
4,4,4
true
true
false
true
false
1
1
null
4
45
metformin_ckd
reranked
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
The maximum metformin dose for an eGFR of 30–44 is 1000 mg per day. Because the patient is already established on metformin, the dose should be reduced to 1000 mg daily (not stopped abruptly) and the A1c rechecked in three months to plan a replacement agent if needed. [p. 4]
8.05
710
535
stop
false
0
false
null
4,4,3
true
true
false
true
false
1
1
null
4
47
mech_valve_inr
ungrounded
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
For a patient with a **mechanical mitral valve** on warfarin, the generally recommended target INR range is **2.5–3.5** (target INR 3.0). This aligns with current major guidelines (AHA/ACC, ESC) for modern bileaflet mechanical valves in the mitral position. Some older valve designs (e.g., caged-ball, single tilting di...
2.07
298
173
stop
false
0
false
null
-
false
false
false
false
false
1
0
null
null
79
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]
4.35
176
146
stop
false
0
false
null
6,6,6
true
true
false
false
false
1
1
null
6
17
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]
4.35
176
146
stop
false
0
true
null
6,6,6
true
true
false
false
false
1
1
null
6
17
st_johns_wort
ungrounded
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
**No, this is not okay.** St. John’s wort **significantly reduces the effectiveness of warfarin**, which can put you at risk for blood clots. **Why:** * St. John’s wort induces liver enzymes (CYP3A4, CYP2C9) and P-glycoprotein, which **accelerates the metabolism and clearance of warfarin**. * This leads to **subth...
4.75
350
61
stop
false
0
false
null
-
false
false
false
false
false
1
0
null
null
177
st_johns_wort
vector
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 an increased risk of clotting; it is advised against. An SSRI such as sertraline is recommended for low mood instead. [p. 7]
2.33
237
159
stop
false
0
false
null
7,7,7
true
true
false
false
false
1
1
null
7
42
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. The handbook advises against it and suggests an SSRI such as sertraline for low mood instead. [p. 7]
4.09
246
162
stop
false
0
false
null
7,7,6
true
true
false
false
false
1
1
null
7
46
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 guidelines (KDIGO, NKF, NICE, etc.):** * **Referral is generally recommended at eGFR < 30 mL/min/1.73 m² (CKD Stage G4).** * **Earlier referral (eGFR < 45 or < 60)** is often advised if there are "red flags"...
2.62
253
75
stop
false
0
false
null
-
false
false
false
true
false
1
0
null
null
98
nephrology_referral
vector
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
The handbook recommends referring to nephrology at stage G4, which corresponds to an eGFR below 30 mL/min/1.73 m². Referral may also be considered earlier in the presence of rapid progression, heavy albuminuria, resistant hypertension, or an unexplained fall in eGFR of more than 25 percent. [p. 5]
3.07
277
196
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 referral to nephrology at CKD stage G4, defined as an eGFR below 30 mL/min/1.73 m². Referral should occur earlier if there is rapid progression, heavy albuminuria, resistant hypertension, or an unexplained fall in eGFR of more than 25 percent. [p. 5]
2.76
231
162
stop
false
0
false
null
5,1,1
true
true
false
true
false
1
1
null
5
42
metformin_titration
ungrounded
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
**Dose escalation:** - **Standard immediate-release metformin:** Increase by **500 mg weekly** (or 850 mg every 2 weeks) as tolerated, up to a usual maximum of **2,000–2,550 mg/day** divided BID. - **Extended-release (XR):** Increase by **500 mg weekly** to a maximum of **2,000 mg once daily** (some guidelines allo...
2.45
341
80
stop
false
0
false
null
-
false
false
false
true
false
1
0
null
null
124
metformin_titration
vector
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
Increase the dose by 500 mg each week as tolerated, up to a maximum of 2000 mg per day in divided doses. You must take metformin with food; this is the single most effective way to reduce gastrointestinal upset. [p. 3]
5.69
228
178
stop
false
0
false
null
3,4,4
true
true
false
true
false
1
1
null
3
38
metformin_titration
reranked
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
Increase by 500 mg each week as tolerated, up to a maximum of 2000 mg per day in divided doses. You must take metformin with food, as this is the single most effective way to reduce gastrointestinal upset. If upset persists at a given dose, hold that dose for a week before trying to advance again. [p. 3]
3.66
427
348
stop
false
0
false
null
3,4,3
true
true
false
true
false
1
1
null
3
55
paediatric_amoxicillin
ungrounded
clinician
false
nvidia/nemotron-3-ultra-550b-a55b:free
**High-dose amoxicillin: 80–90 mg/kg/day divided every 12 hours (BID).** For a typical 4‑year‑old (≈16 kg): - **Total daily dose:** 1,280–1,440 mg - **Per dose (BID):** 640–720 mg **Practical prescriptions** (using 400 mg/5 mL suspension): - 10 mL (800 mg) BID → 1,600 mg/day (≈100 mg/kg/day) - 9 mL (720 mg)...
43.81
515
231
stop
false
0
false
null
-
false
null
false
true
false
0
0
null
null
68
paediatric_amoxicillin
vector
clinician
false
nvidia/nemotron-3-ultra-550b-a55b:free
NOT IN DOCUMENT
1.5
145
147
stop
false
0
false
null
6,4,3
false
null
true
false
false
1
1
null
null
3
paediatric_amoxicillin
reranked
clinician
false
nvidia/nemotron-3-ultra-550b-a55b:free
NOT IN DOCUMENT
1.5
145
147
stop
false
0
true
null
6,4,3
false
null
true
false
false
1
1
null
null
3
null
null
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ungrounded
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0.833
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1
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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?
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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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i take warfarin and i want to start st john's wort for my low mood. is that ok?
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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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how fast can i increase my metformin dose and should i take it with food?
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What amoxicillin dose should we give a 4-year-old with acute otitis media?
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clinician
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mech_valve_inr
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