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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 15 new columns ({'vector_ms', 'vector_rank', 'reranked_rank', 'vector_pages', 'precision_reranked', 'rr_reranked', 'rerank_ms', 'hit3_vector', 'gold_pages', 'gold_in_pool', 'reranked_pages', 'pool_rank', 'hit3_reranked', 'rr_vector', 'precision_vector'}) and 22 missing columns ({'passage_pages', 'reasoning_tokens', 'cited_any', 'answer', 'full_credit', 'model', 'truncated', 'cost_usd', 'invented_dose', 'condition', 'unsafe_claims', 'finish_reason', 'seconds', 'completion_tokens', 'cited_pages', 'cached', 'coverage', 'abstained', 'words', 'dose_error', 'call_error', 'citation_correct'}).

This happened while the csv dataset builder was generating data using

hf://datasets/webstk3/lab08-rag-answer-the-patient/before_after.csv (at revision 069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21), ['hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/answers.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/before_after.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/chunk_size_sweep.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/chunks.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/generation_scorecard.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/gold_questions.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/handbook_pages.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/passages_side_by_side.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/rank_movement.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/retrieval_before_after.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/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 1856, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, 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 822, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              question: string
              voice: string
              answerable: bool
              gold_pages: string
              pool_rank: double
              vector_rank: double
              reranked_rank: double
              vector_pages: string
              reranked_pages: string
              precision_vector: double
              precision_reranked: double
              rr_vector: double
              rr_reranked: double
              hit3_vector: int64
              hit3_reranked: int64
              gold_in_pool: int64
              vector_ms: double
              rerank_ms: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2472
              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'), 'words': Value('int64'), 'cited_pages': 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 1379, 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 956, 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 1702, 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 1858, 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 15 new columns ({'vector_ms', 'vector_rank', 'reranked_rank', 'vector_pages', 'precision_reranked', 'rr_reranked', 'rerank_ms', 'hit3_vector', 'gold_pages', 'gold_in_pool', 'reranked_pages', 'pool_rank', 'hit3_reranked', 'rr_vector', 'precision_vector'}) and 22 missing columns ({'passage_pages', 'reasoning_tokens', 'cited_any', 'answer', 'full_credit', 'model', 'truncated', 'cost_usd', 'invented_dose', 'condition', 'unsafe_claims', 'finish_reason', 'seconds', 'completion_tokens', 'cited_pages', 'cached', 'coverage', 'abstained', 'words', 'dose_error', 'call_error', 'citation_correct'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/webstk3/lab08-rag-answer-the-patient/before_after.csv (at revision 069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21), ['hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/answers.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/before_after.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/chunk_size_sweep.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/chunks.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/generation_scorecard.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/gold_questions.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/handbook_pages.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/passages_side_by_side.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/rank_movement.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/retrieval_before_after.csv', 'hf://datasets/webstk3/lab08-rag-answer-the-patient@069fbd1ae4c3e12b38eb73a5ce8b3d66db151d21/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
words
int64
cited_pages
float64
metformin_ckd
ungrounded
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
**Maximum dose:** 1000 mg/day (e.g., 500 mg twice daily). **Continue?** Yes, if she is tolerating it and benefiting, but **reduce the dose** to ≤1000 mg/day and monitor eGFR at least every 3–6 months. Do not initiate metformin de novo at this eGFR. *Rationale:* Current FDA labeling and ADA/KDIGO guidelines restrict ...
4.65
445
287
stop
false
0
true
null
-
false
false
false
false
false
1
0
null
85
null
metformin_ckd
vector
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
For an eGFR of 38 (which falls in the 30–44 range), the maximum metformin dose is **1000 mg per day** [p. 4]. The patient should **not be stopped abruptly**; instead, reduce the current 2000 mg/day regimen to 1000 mg/day and recheck A1c in three months to plan a replacement agent [p. 4].
7.53
541
445
stop
false
0
false
null
4,4,4
true
true
false
false
false
0
0
null
52
4
metformin_ckd
reranked
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
Maximum metformin dose: 1000 mg per day. The patient should continue metformin but at the reduced dose of 1000 mg daily (not stopped abruptly), with A1c rechecked in three months to plan a replacement agent [p. 4].
9.57
452
392
stop
false
0
false
null
4,4,3
true
true
false
false
false
0
0
null
37
4
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** (or 3.0–4.0 for some older-generation valves or if additional risk factors exist, such as atrial fibrillation, prior thromboembolism, or hypercoagulable state). Current major guidelines (AHA/ACC, ESC, CHE...
4.65
177
52
stop
false
0
true
null
-
false
false
false
false
false
1
0
null
65
null
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].
3.23
148
112
stop
false
0
false
null
6,6,6
true
true
false
false
false
1
1
null
20
6
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].
3.23
148
112
stop
false
0
true
null
6,6,6
true
true
false
false
false
1
1
null
20
6
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 **significantly lowers warfarin levels**, reducing its anticoagulant effect and **increasing your ...
4.13
252
50
stop
false
0
true
null
-
false
false
false
false
false
1
0
null
121
null
st_johns_wort
vector
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
No, it is not okay. St John's wort induces CYP3A4 and CYP2C9, causing warfarin to be cleared faster, the INR to fall, and increasing the risk of clotting. It is advised against, and an SSRI such as sertraline is recommended instead for low mood. Herbal does not mean inert. [p. 7] [p. 7]
2.91
243
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stop
false
0
false
null
7,7,7
true
true
false
false
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1
1
null
53
7
st_johns_wort
reranked
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
No, it is not okay. St John's wort induces CYP3A4 and CYP2C9, which increases warfarin clearance, lowers the INR, and puts you at risk of clotting. The combination is advised against; an SSRI such as sertraline is suggested for low mood instead [p. 7].
2.24
179
107
stop
false
0
false
null
7,7,6
true
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false
false
false
1
1
null
44
7
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):** Most guidelines recommend referral to nephrology when **eGFR < 30 mL/min/1.73 m² (CKD Stage G4)**, or earlier (eGFR < 60) if there are "red flags" such as: * Heavy proteinu...
34.69
250
59
stop
false
0
true
null
-
false
false
false
false
false
1
0
null
103
null
nephrology_referral
vector
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
The handbook states to refer to nephrology at stage G4, which is an eGFR below 30, or earlier if there is rapid progression, heavy albuminuria, resistant hypertension, or an unexplained fall in eGFR of more than 25 percent [p. 5].
5.44
206
144
stop
false
0
false
null
5,5,2
true
true
false
false
false
1
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null
40
5
nephrology_referral
reranked
clinician
true
nvidia/nemotron-3-ultra-550b-a55b:free
According to the handbook, refer to nephrology at stage G4 (eGFR below 30), or earlier if there is rapid progression, heavy albuminuria, resistant hypertension, or an unexplained fall in eGFR of more than 25 percent [p. 5].
1.91
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stop
false
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5,1,1
true
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1
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metformin_titration
ungrounded
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
**Metformin titration speed:** - **Standard approach:** 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 (XR) formulations:** Often started at 500 mg once daily with the evening meal and increased by 500 mg weekly to a...
5.55
352
63
stop
false
0
true
null
-
false
false
false
false
false
1
0
null
158
null
metformin_titration
vector
patient
true
nvidia/nemotron-3-ultra-550b-a55b:free
Increase by 500 mg each week as tolerated, starting at 500 mg once daily, up to a maximum of 2000 mg/day in divided doses [p. 3]. Take every dose with food – this is not optional and is the most effective way to reduce gastrointestinal upset [p. 3].
4.63
277
202
stop
false
0
false
null
3,4,4
true
true
false
false
false
1
1
null
48
3
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/day in divided doses [p. 3]. You must take metformin with food—it is not optional and is the most effective way to reduce gastrointestinal upset [p. 3].
2.55
269
204
stop
false
0
false
null
3,4,3
true
true
false
false
false
1
1
null
41
3
paediatric_amoxicillin
ungrounded
clinician
false
nvidia/nemotron-3-ultra-550b-a55b:free
**Amoxicillin dose for a 4‑year‑old with acute otitis media (AOM):** - **Weight‑based high‑dose regimen:** **80–90 mg/kg/day** divided **twice daily (BID)** for **10 days**. - **Typical 4‑year‑old weight:** ~16 kg (range 14–18 kg). - **Practical prescription:** - **~16 kg child:** 650 mg (≈13 mL of 250 mg/5 mL...
7.94
558
235
stop
false
0
true
null
-
false
null
false
true
false
0
0
null
126
null
paediatric_amoxicillin
vector
clinician
false
nvidia/nemotron-3-ultra-550b-a55b:free
NOT IN DOCUMENT
0.97
83
77
stop
false
0
false
null
6,4,3
false
null
true
false
false
0
1
null
3
null
paediatric_amoxicillin
reranked
clinician
false
nvidia/nemotron-3-ultra-550b-a55b:free
NOT IN DOCUMENT
0.97
83
77
stop
false
0
true
null
6,4,3
false
null
true
false
false
0
1
null
3
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metformin_ckd
null
clinician
true
null
null
null
null
null
null
null
null
null
null
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null
null
null
null
null
null
null
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mech_valve_inr
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clinician
true
null
null
null
null
null
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st_johns_wort
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true
null
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null
null
null
null
null
null
null
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null
null
null
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null
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nephrology_referral
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clinician
true
null
null
null
null
null
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metformin_titration
null
patient
true
null
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null
null
null
null
null
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null
null
null
null
null
null
null
null
null
null
null
paediatric_amoxicillin
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clinician
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ungrounded
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0.667
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reranked
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0.667
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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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mech_valve_inr
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