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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
question_id: string
prompt: string
valid: bool
runs_without_an_answer: int64
truncated_turns: int64
on_path: string
off_path: string
on_grounding: double
off_grounding: double
delta: double
on_claims: string
off_claims: string
off_fabricated_tool_result: string
echoed_facts_not_scored: string
on_says_unknown: bool
off_says_unknown: bool
on_answer: string
off_answer: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2503
to
{'question': Value('string'), 'tool': Value('string'), 'condition': Value('string'), 'path_used': Value('string'), 'grounding': Value('float64'), 'facts_hit': Value('int64'), 'n_facts': Value('int64'), 'says_unknown': Value('bool'), 'fabricated_tool_result': Value('bool'), 'confident_claims': Value('int64'), 'calls': Value('int64'), 'seconds': Value('float64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'cost_usd': Value('float64'), 'answer': Value('string'), 'valid': Value('bool'), 'truncated_turns': Value('int64')}
because column names don't match
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 783, in write_table
self.write_rows_on_file() # in case there are buffered rows to write first
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
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
question_id: string
prompt: string
valid: bool
runs_without_an_answer: int64
truncated_turns: int64
on_path: string
off_path: string
on_grounding: double
off_grounding: double
delta: double
on_claims: string
off_claims: string
off_fabricated_tool_result: string
echoed_facts_not_scored: string
on_says_unknown: bool
off_says_unknown: bool
on_answer: string
off_answer: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2503
to
{'question': Value('string'), 'tool': Value('string'), 'condition': Value('string'), 'path_used': Value('string'), 'grounding': Value('float64'), 'facts_hit': Value('int64'), 'n_facts': Value('int64'), 'says_unknown': Value('bool'), 'fabricated_tool_result': Value('bool'), 'confident_claims': Value('int64'), 'calls': Value('int64'), 'seconds': Value('float64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'cost_usd': Value('float64'), 'answer': Value('string'), 'valid': Value('bool'), 'truncated_turns': Value('int64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
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 16 new columns ({'on_claims', 'off_answer', 'on_grounding', 'runs_without_an_answer', 'echoed_facts_not_scored', 'prompt', 'off_claims', 'off_path', 'on_path', 'off_fabricated_tool_result', 'on_answer', 'question_id', 'on_says_unknown', 'off_grounding', 'off_says_unknown', 'delta'}) and 16 missing columns ({'tool', 'says_unknown', 'cost_usd', 'fabricated_tool_result', 'seconds', 'n_facts', 'grounding', 'facts_hit', 'condition', 'prompt_tokens', 'question', 'path_used', 'answer', 'confident_claims', 'calls', 'completion_tokens'}).
This happened while the csv dataset builder was generating data using
hf://datasets/LienJ/lab06-tool-calling/per_turn_tokens.csv (at revision e38cf9f18e63126c74d040317203835758917838), ['hf://datasets/LienJ/lab06-tool-calling@e38cf9f18e63126c74d040317203835758917838/grounding_sweep.csv', 'hf://datasets/LienJ/lab06-tool-calling@e38cf9f18e63126c74d040317203835758917838/headline_contrast.csv', 'hf://datasets/LienJ/lab06-tool-calling@e38cf9f18e63126c74d040317203835758917838/per_turn_tokens.csv', 'hf://datasets/LienJ/lab06-tool-calling@e38cf9f18e63126c74d040317203835758917838/tools_registry.csv', 'hf://datasets/LienJ/lab06-tool-calling@e38cf9f18e63126c74d040317203835758917838/trace_stages.csv', 'hf://datasets/LienJ/lab06-tool-calling@e38cf9f18e63126c74d040317203835758917838/traces.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)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1868, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 803, in finalize
self.write_rows_on_file()
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
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
question_id: string
prompt: string
valid: bool
runs_without_an_answer: int64
truncated_turns: int64
on_path: string
off_path: string
on_grounding: double
off_grounding: double
delta: double
on_claims: string
off_claims: string
off_fabricated_tool_result: string
echoed_facts_not_scored: string
on_says_unknown: bool
off_says_unknown: bool
on_answer: string
off_answer: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2503
to
{'question': Value('string'), 'tool': Value('string'), 'condition': Value('string'), 'path_used': Value('string'), 'grounding': Value('float64'), 'facts_hit': Value('int64'), 'n_facts': Value('int64'), 'says_unknown': Value('bool'), 'fabricated_tool_result': Value('bool'), 'confident_claims': Value('int64'), 'calls': Value('int64'), 'seconds': Value('float64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'cost_usd': Value('float64'), 'answer': Value('string'), 'valid': Value('bool'), 'truncated_turns': Value('int64')}
because column names don't match
The above exception was the direct cause of the following exception:
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 1879, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed 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 | tool string | condition string | path_used string | grounding float64 | facts_hit int64 | n_facts int64 | says_unknown bool | fabricated_tool_result bool | confident_claims int64 | calls int64 | seconds float64 | prompt_tokens int64 | completion_tokens int64 | cost_usd float64 | answer string | valid bool | truncated_turns int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
drug_tier | get_drug_info | tools on | native | 0.5 | 1 | 2 | false | false | 1 | 2 | 1.85 | 1,066 | 182 | 0 | According to the MIS 752 Lab 6 formulary lookup, **zephadril** is on **formulary tier 3** and **does require prior authorisation**. (The tool result also notes this is a synthetic teaching stub with invented values — not a real clinical source.) | true | 0 |
drug_tier | get_drug_info | tools off | tools-disabled | 0 | 0 | 2 | false | false | 0 | 1 | 0 | 157 | 51 | 0 | I'll check the formulary tier and prior authorization requirement for Zephadril using the available tools.<tool_call>get_drug_info.py:execute<arg_key>drug_name</arg_key><arg_value>zephadril</arg_value></tool_call> | true | 0 |
drug_flags | get_drug_info | tools on | native | 0.75 | 3 | 4 | false | false | 2 | 2 | 3.32 | 962 | 261 | 0 | Based on the get_drug_info tool result, renavex is flagged against the formulary drugs **zephadril** and **neurvolan**. It carries the monitoring label **"stub-monitor-2 (invented label)"**. | true | 0 |
drug_flags | get_drug_info | tools off | tools-disabled | 0 | 0 | 4 | false | false | 0 | 1 | 7.56 | 161 | 123 | 0 | {"tool": "drug_lookup", "name": "renavex"} | true | 0 |
drug_absent | get_drug_info | tools on | native | 0.429 | 3 | 7 | true | false | 1 | 2 | 2.66 | 1,277 | 201 | 0 | According to the formulary lookup result I relied on, **xyloprane is NOT in the MIS 752 Lab 6 invented formulary v1 — there is no record to report.** The tool's known drug list (cardiomyst, glycofane, neurvolan, pulmosyn, renavex, zephadril) does not include xyloprane, so I cannot provide a formulary tier for it. | true | 0 |
drug_absent | get_drug_info | tools off | tools-disabled | 0.143 | 1 | 7 | true | false | 0 | 1 | 1.76 | 160 | 27 | 0 | I cannot find the formulary tier for xyloprane. There is no record of this drug in the formulary database. | true | 0 |
ed_surge | forecast_ed_arrivals | tools on | native | 0.333 | 1 | 3 | false | false | 0 | 2 | 4.19 | 1,739 | 580 | 0 | The forecast ED arrivals (tool `forecast_ed_arrivals`) for the 7‑day window starting 2026‑10‑05 shows predicted volumes ranging from 181 to 243. The peak day is 2026‑10‑10 with 243 expected arrivals. Three days are flagged as surge: 2026‑10‑05, 2026‑10‑09, and 2026‑10‑10. | true | 0 |
ed_surge | forecast_ed_arrivals | tools off | tools-disabled | 0 | 0 | 3 | false | false | 0 | 1 | 0.64 | 176 | 97 | 0 | I need to use my forecasting tool to get the ED arrival forecast for the next 7 days starting from 2026-10-05. Let me call that tool now.</think>I'll use my forecasting tool to get the ED arrival forecast for the next 7 days starting from 2026-10-05.<tool_call>get_ed_forecast(start_date="2026-10-05", days=7) | true | 0 |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | true | 0 |
drug_tier | null | null | null | null | null | null | null | null | null | null | 0.9 | 282 | 92 | null | null | null | null |
drug_tier | null | null | null | null | null | null | null | null | null | null | 0.95 | 784 | 90 | null | null | null | null |
drug_tier-forced | null | null | null | null | null | null | null | null | null | null | 0.9 | 282 | 92 | null | null | null | null |
drug_tier-forced | null | null | null | null | null | null | null | null | null | null | 0.95 | 784 | 90 | null | null | null | null |
ed_surge | null | null | null | null | null | null | null | null | null | null | 2.55 | 481 | 176 | null | null | null | null |
ed_surge | null | null | null | null | null | null | null | null | null | null | 1.64 | 1,258 | 404 | null | null | null | null |
drug_flags | null | null | null | null | null | null | null | null | null | null | 0.75 | 283 | 91 | null | null | null | null |
drug_flags | null | null | null | null | null | null | null | null | null | null | 2.57 | 679 | 170 | null | null | null | null |
drug_absent | null | null | null | null | null | null | null | null | null | null | 1.58 | 465 | 85 | null | null | null | null |
drug_absent | null | null | null | null | null | null | null | null | null | null | 1.08 | 812 | 116 | null | null | null | null |
null | get_drug_info | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | forecast_ed_arrivals | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | get_med_interactions | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0.9 | 282 | 92 | null | null | null | null |
null | get_drug_info | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | get_drug_info | null | native | null | null | null | null | null | null | null | 0.00005 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0.95 | 784 | 90 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | tools-disabled | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | tools-disabled | null | null | null | null | null | null | null | 2.63 | 157 | 51 | null | null | null | null |
null | null | null | tools-disabled | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0.9 | 282 | 92 | null | null | null | null |
null | get_drug_info | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | get_drug_info | null | native | null | null | null | null | null | null | null | 0.00005 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0.95 | 784 | 90 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 2.55 | 481 | 176 | null | null | null | null |
null | forecast_ed_arrivals | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | forecast_ed_arrivals | null | native | null | null | null | null | null | null | null | 0.00056 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 1.64 | 1,258 | 404 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0.75 | 283 | 91 | null | null | null | null |
null | get_drug_info | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | get_drug_info | null | native | null | null | null | null | null | null | null | 0.00007 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 2.57 | 679 | 170 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | tools-disabled | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | tools-disabled | null | null | null | null | null | null | null | 7.56 | 161 | 123 | null | null | null | null |
null | null | null | tools-disabled | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 1.58 | 465 | 85 | null | null | null | null |
null | get_drug_info | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | get_drug_info | null | native | null | null | null | null | null | null | null | 0.00007 | 0 | 0 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 1.08 | 812 | 116 | null | null | null | null |
null | null | null | native | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | tools-disabled | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | tools-disabled | null | null | null | null | null | null | null | 1.75 | 160 | 27 | null | null | null | null |
null | null | null | tools-disabled | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | tools-disabled | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
null | null | null | tools-disabled | null | null | null | null | null | null | null | 0.64 | 176 | 97 | null | null | null | null |
null | null | null | tools-disabled | null | null | null | null | null | null | null | 0 | 0 | 0 | null | null | null | null |
What is the formulary tier for zephadril, and does it require prior authorisation? | null | null | native | null | null | null | null | null | null | 2 | 1.85 | 1,066 | 182 | 0 | null | true | 0 |
What is the formulary tier for zephadril, and does it require prior authorisation? | null | null | tools-disabled | null | null | null | null | null | null | 1 | 0 | 157 | 51 | 0 | null | true | 0 |
What is the formulary tier for zephadril, and does it require prior authorisation? | null | null | native | null | null | null | null | null | null | 2 | 0 | 1,066 | 182 | 0 | null | true | 0 |
Starting 2026-10-05, forecast ED arrivals for the next 7 days. Which day is the peak and how many days are flagged as a surge? | null | null | native | null | null | null | null | null | null | 2 | 4.19 | 1,739 | 580 | 0 | null | true | 0 |
Which other formulary drugs is renavex flagged against, and what monitoring label does it carry? | null | null | native | null | null | null | null | null | null | 2 | 3.32 | 962 | 261 | 0 | null | true | 0 |
Which other formulary drugs is renavex flagged against, and what monitoring label does it carry? | null | null | tools-disabled | null | null | null | null | null | null | 1 | 7.56 | 161 | 123 | 0 | null | true | 0 |
What is the formulary tier for xyloprane? If you cannot find it, say so plainly. | null | null | native | null | null | null | null | null | null | 2 | 2.66 | 1,277 | 201 | 0 | null | true | 0 |
What is the formulary tier for xyloprane? If you cannot find it, say so plainly. | null | null | tools-disabled | null | null | null | null | null | null | 1 | 1.76 | 160 | 27 | 0 | null | true | 0 |
Starting 2026-10-05, forecast ED arrivals for the next 7 days. Which day is the peak and how many days are flagged as a surge? | null | null | tools-disabled | null | null | null | null | null | null | 1 | 0.64 | 176 | 97 | 0 | null | true | 0 |
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