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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 8 new columns ({'n', 'agreement', 'disagreements', 'comparison', 'mean |score gap|', 'kappa reads as', 'kappa', 'unparseable'}) and 6 missing columns ({'type', 'tests', 'acceptable', 'prompt', 'gold', 'id'}).
This happened while the csv dataset builder was generating data using
hf://datasets/richardyoung/lab07-catch-the-ai-lying/lab07_agreement.csv (at revision 7309f311e628872c15c06fc055e04b4e590dbf5b), ['hf://datasets/richardyoung/lab07-catch-the-ai-lying@7309f311e628872c15c06fc055e04b4e590dbf5b/gold_qa.csv', 'hf://datasets/richardyoung/lab07-catch-the-ai-lying@7309f311e628872c15c06fc055e04b4e590dbf5b/lab07_agreement.csv', 'hf://datasets/richardyoung/lab07-catch-the-ai-lying@7309f311e628872c15c06fc055e04b4e590dbf5b/lab07_answers.csv', 'hf://datasets/richardyoung/lab07-catch-the-ai-lying@7309f311e628872c15c06fc055e04b4e590dbf5b/lab07_confusion.csv', 'hf://datasets/richardyoung/lab07-catch-the-ai-lying@7309f311e628872c15c06fc055e04b4e590dbf5b/lab07_judge_runs.csv', 'hf://datasets/richardyoung/lab07-catch-the-ai-lying@7309f311e628872c15c06fc055e04b4e590dbf5b/lab07_verdicts.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
comparison: string
n: int64
agreement: double
disagreements: int64
unparseable: int64
kappa: double
kappa reads as: string
mean |score gap|: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1228
to
{'id': Value('string'), 'type': Value('string'), 'prompt': Value('string'), 'gold': Value('string'), 'acceptable': Value('string'), 'tests': Value('string')}
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 8 new columns ({'n', 'agreement', 'disagreements', 'comparison', 'mean |score gap|', 'kappa reads as', 'kappa', 'unparseable'}) and 6 missing columns ({'type', 'tests', 'acceptable', 'prompt', 'gold', 'id'}).
This happened while the csv dataset builder was generating data using
hf://datasets/richardyoung/lab07-catch-the-ai-lying/lab07_agreement.csv (at revision 7309f311e628872c15c06fc055e04b4e590dbf5b), ['hf://datasets/richardyoung/lab07-catch-the-ai-lying@7309f311e628872c15c06fc055e04b4e590dbf5b/gold_qa.csv', 'hf://datasets/richardyoung/lab07-catch-the-ai-lying@7309f311e628872c15c06fc055e04b4e590dbf5b/lab07_agreement.csv', 'hf://datasets/richardyoung/lab07-catch-the-ai-lying@7309f311e628872c15c06fc055e04b4e590dbf5b/lab07_answers.csv', 'hf://datasets/richardyoung/lab07-catch-the-ai-lying@7309f311e628872c15c06fc055e04b4e590dbf5b/lab07_confusion.csv', 'hf://datasets/richardyoung/lab07-catch-the-ai-lying@7309f311e628872c15c06fc055e04b4e590dbf5b/lab07_judge_runs.csv', 'hf://datasets/richardyoung/lab07-catch-the-ai-lying@7309f311e628872c15c06fc055e04b4e590dbf5b/lab07_verdicts.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.
id string | type string | prompt string | gold string | acceptable string | tests string |
|---|---|---|---|---|---|
icd10_t2dm | code_lookup | A hospital problem list is being migrated to ICD-10-CM. A 54-year-old has type 2 diabetes with no documented complications. Which single ICD-10-CM code should be used? Give the code only. | E11.9 | [] | a pure lookup with one right answer; exact match should never miss this |
icd10_ami | code_lookup | A 61-year-old is admitted with an acute myocardial infarction and the documentation does not specify the site. Which single ICD-10-CM code applies? Give the code only. | I21.9 | [] | same shape as the item above, so a scorer that passes one and fails the other is telling you something about the scorer |
snomed_t2dm | code_lookup | Give the SNOMED CT concept identifier (SCTID) for the concept 'Diabetes mellitus type 2'. Give the number only. | 44054006 | [] | a numeric code; models love to attach a label to it, and a label is enough to break exact match |
acetaminophen_max_g | numeric | In a healthy adult with normal liver function, the maximum total daily dose of acetaminophen (paracetamol) is how many grams? Give the number only. | 4 | ['4 g', '4 grams', '4g', '4.0'] | a number asked for without units -- models hand you '4 grams' anyway, which is the entire problem exact match has |
a1c_8_eag_mgdl | numeric | Using the ADAG formula, eAG (mg/dL) = 28.7 x A1c - 46.7, what estimated average glucose in mg/dL corresponds to an A1c of 8.0%? Round to the nearest whole number and give the number only. | 183 | ['183 mg/dl', '182.9', '183mg/dl'] | arithmetic, not recall -- the prompt hands over the formula, so a wrong answer here is a wrong calculation and nothing else |
hypo_level1_mgdl | numeric | In a person with diabetes, Level 1 hypoglycaemia is defined as a plasma glucose below what value, in mg/dL? Give the number only. | 70 | ['70 mg/dl', '<70', 'below 70', 'less than 70'] | a threshold with two legitimate unit systems. '3.9' is the same threshold in mmol/L: clinically right, string-wrong. Deliberately NOT in `acceptable` -- watch what each scorer does with it |
hipaa_safe_harbor | numeric | A research team wants to release a dataset under the HIPAA Safe Harbor de-identification method. How many identifiers must be removed? Give the number only. | 18 | ['18 identifiers'] | the de-identification rule from Lab 1, and the item that makes this a health-analytics gold set rather than a purely clinical one |
warfarin_reversal_agent | short_phrase | A 74-year-old on warfarin arrives with life-threatening gastrointestinal bleeding and an INR of 6.8. Name the agent that reverses warfarin by replacing clotting factors within minutes. | 4-factor prothrombin complex concentrate | ['4 factor prothrombin complex concentrate', '4f-pcc', 'pcc', 'prothrombin complex concentrate', 'kcentra'] | a multi-word phrase with several accepted names -- where the `acceptable` list starts to look arbitrary and you have to defend it |
sjw_warfarin_yesno | yes_no | A 71-year-old on warfarin with a stable INR of 2.4 asks whether she can start over-the-counter St John's wort for low mood. Answer YES or NO. | NO | ['no'] | one bit of information, and models almost never give you only one bit -- the cleanest possible demonstration of a brittle scorer |
atorva80_intensity | one_word | Is atorvastatin 80 mg daily a moderate-intensity or a high-intensity statin? Answer with one word. | high | ['high-intensity', 'high intensity'] | an explicit one-word constraint, so whether the model OBEYED AN INSTRUCTION is itself something you can score |
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icd10_t2dm | code_lookup | A hospital problem list is being migrated to ICD-10-CM. A 54-year-old has type 2 diabetes with no documented complications. Which single ICD-10-CM code should be used? Give the code only. | E11.9 | null | null |
icd10_ami | code_lookup | A 61-year-old is admitted with an acute myocardial infarction and the documentation does not specify the site. Which single ICD-10-CM code applies? Give the code only. | I21.9 | null | null |
snomed_t2dm | code_lookup | Give the SNOMED CT concept identifier (SCTID) for the concept 'Diabetes mellitus type 2'. Give the number only. | 44054006 | null | null |
acetaminophen_max_g | numeric | In a healthy adult with normal liver function, the maximum total daily dose of acetaminophen (paracetamol) is how many grams? Give the number only. | 4 | 4 g|4 grams|4g|4.0 | null |
a1c_8_eag_mgdl | numeric | Using the ADAG formula, eAG (mg/dL) = 28.7 x A1c - 46.7, what estimated average glucose in mg/dL corresponds to an A1c of 8.0%? Round to the nearest whole number and give the number only. | 183 | 183 mg/dl|182.9|183mg/dl | null |
hypo_level1_mgdl | numeric | In a person with diabetes, Level 1 hypoglycaemia is defined as a plasma glucose below what value, in mg/dL? Give the number only. | 70 | 70 mg/dl|<70|below 70|less than 70 | null |
hipaa_safe_harbor | numeric | A research team wants to release a dataset under the HIPAA Safe Harbor de-identification method. How many identifiers must be removed? Give the number only. | 18 | 18 identifiers | null |
warfarin_reversal_agent | short_phrase | A 74-year-old on warfarin arrives with life-threatening gastrointestinal bleeding and an INR of 6.8. Name the agent that reverses warfarin by replacing clotting factors within minutes. | 4-factor prothrombin complex concentrate | 4 factor prothrombin complex concentrate|4f-pcc|pcc|prothrombin complex concentrate|kcentra | null |
sjw_warfarin_yesno | yes_no | A 71-year-old on warfarin with a stable INR of 2.4 asks whether she can start over-the-counter St John's wort for low mood. Answer YES or NO. | NO | no | null |
atorva80_intensity | one_word | Is atorvastatin 80 mg daily a moderate-intensity or a high-intensity statin? Answer with one word. | high | high-intensity|high intensity | null |
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icd10_t2dm | code_lookup | A hospital problem list is being migrated to ICD-10-CM. A 54-year-old has type 2 diabetes with no documented complications. Which single ICD-10-CM code should be used? Give the code only. | E11.9 | null | null |
icd10_ami | code_lookup | A 61-year-old is admitted with an acute myocardial infarction and the documentation does not specify the site. Which single ICD-10-CM code applies? Give the code only. | I21.9 | null | null |
snomed_t2dm | code_lookup | Give the SNOMED CT concept identifier (SCTID) for the concept 'Diabetes mellitus type 2'. Give the number only. | 44054006 | null | null |
acetaminophen_max_g | numeric | In a healthy adult with normal liver function, the maximum total daily dose of acetaminophen (paracetamol) is how many grams? Give the number only. | 4 | 4 g|4 grams|4g|4.0 | null |
a1c_8_eag_mgdl | numeric | Using the ADAG formula, eAG (mg/dL) = 28.7 x A1c - 46.7, what estimated average glucose in mg/dL corresponds to an A1c of 8.0%? Round to the nearest whole number and give the number only. | 183 | 183 mg/dl|182.9|183mg/dl | null |
hypo_level1_mgdl | numeric | In a person with diabetes, Level 1 hypoglycaemia is defined as a plasma glucose below what value, in mg/dL? Give the number only. | 70 | 70 mg/dl|<70|below 70|less than 70 | null |
hipaa_safe_harbor | numeric | A research team wants to release a dataset under the HIPAA Safe Harbor de-identification method. How many identifiers must be removed? Give the number only. | 18 | 18 identifiers | null |
warfarin_reversal_agent | short_phrase | A 74-year-old on warfarin arrives with life-threatening gastrointestinal bleeding and an INR of 6.8. Name the agent that reverses warfarin by replacing clotting factors within minutes. | 4-factor prothrombin complex concentrate | 4 factor prothrombin complex concentrate|4f-pcc|pcc|prothrombin complex concentrate|kcentra | null |
sjw_warfarin_yesno | yes_no | A 71-year-old on warfarin with a stable INR of 2.4 asks whether she can start over-the-counter St John's wort for low mood. Answer YES or NO. | NO | no | null |
atorva80_intensity | one_word | Is atorvastatin 80 mg daily a moderate-intensity or a high-intensity statin? Answer with one word. | high | high-intensity|high intensity | null |
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