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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<context: string, root_prompt: string, problem_type: string, prompt_chars: int64>
to
{'answer': Value('string'), 'context': Value('string'), 'root_prompt': Value('string'), 'question_id': Value('string'), 'setting': Value('string'), 'n_choices': Value('int64')}
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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 2315, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2161, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<context: string, root_prompt: string, problem_type: string, prompt_chars: int64>
to
{'answer': Value('string'), 'context': Value('string'), 'root_prompt': Value('string'), 'question_id': Value('string'), 'setting': Value('string'), 'n_choices': Value('int64')}
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 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 1887, 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.
example_id int64 | prompt list | completion list | answer string | info dict | reward float64 | error null | timing dict | is_completed bool | is_truncated bool | stop_condition string | metrics dict | tool_defs list | token_usage dict | correctness float64 | num_turns float64 | sampling_args dict | env_name string | advantage float64 | filters dict | is_filtered bool |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
246 | [
{
"role": "system",
"content": "You are a careful assistant. You are given a long document or problem followed by a question or task. Read all of it and answer directly in the exact format requested. Do not ask for tools or external help — produce the final answer yourself."
},
{
"role": "user",
... | [
{
"role": "assistant",
"content": "A6",
"reasoning_content": null,
"thinking_blocks": null,
"tool_calls": null
}
] | A6 | {
"answer": "A6",
"context": "Question:\n\nLet's call this table terms_relation:\n+---------+----------+-------------+------------+------------+--+\n| term_id | taxonomy | description | created_at | updated_at | |\n+---------+----------+-------------+------------+------------+--+\n| 1 | categ | non ... | 1 | null | {
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"duration": 0.000003337860107421875
},
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"end": 1783484414.3709116,
"duration": 3.5262155532836914
},
"scoring": {
"start": 1783484414.... | true | false | max_turns_reached | {
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} | 1 | 1 | {
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"extra_body": {
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"top_k": -1,
"min_p": 0,
"return_token_ids": true,
"cache_salt": "0"
}
} | adaleval-bestanswer-singleturn-8k-train | 0 | {
"gibberish": false,
"repetition": false,
"zero_advantage": true
} | false |
246 | [
{
"role": "system",
"content": "You are a careful assistant. You are given a long document or problem followed by a question or task. Read all of it and answer directly in the exact format requested. Do not ask for tools or external help — produce the final answer yourself."
},
{
"role": "user",
... | [
{
"role": "assistant",
"content": "A6",
"reasoning_content": null,
"thinking_blocks": null,
"tool_calls": null
}
] | A6 | {
"answer": "A6",
"context": "Question:\n\nLet's call this table terms_relation:\n+---------+----------+-------------+------------+------------+--+\n| term_id | taxonomy | description | created_at | updated_at | |\n+---------+----------+-------------+------------+------------+--+\n| 1 | categ | non ... | 1 | null | {
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"duration": 0.00000476837158203125
},
"generation": {
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"end": 1783484414.3653054,
"duration": 1.3716979026794434
},
"scoring": {
"start": 1783484414.3... | true | false | max_turns_reached | {
"correctness": 1,
"num_turns": 1
} | [] | {
"input_tokens": 7157,
"output_tokens": 3,
"final_output_tokens": 3,
"final_input_tokens": 7157
} | 1 | 1 | {
"temperature": 1,
"top_p": 1,
"logprobs": true,
"max_completion_tokens": 4096,
"extra_body": {
"enable_thinking": false,
"top_k": -1,
"min_p": 0,
"return_token_ids": true,
"cache_salt": "0"
}
} | adaleval-bestanswer-singleturn-8k-train | 0 | {
"gibberish": false,
"repetition": false,
"zero_advantage": true
} | false |
246 | [
{
"role": "system",
"content": "You are a careful assistant. You are given a long document or problem followed by a question or task. Read all of it and answer directly in the exact format requested. Do not ask for tools or external help — produce the final answer yourself."
},
{
"role": "user",
... | [
{
"role": "assistant",
"content": "A6",
"reasoning_content": null,
"thinking_blocks": null,
"tool_calls": null
}
] | A6 | {
"answer": "A6",
"context": "Question:\n\nLet's call this table terms_relation:\n+---------+----------+-------------+------------+------------+--+\n| term_id | taxonomy | description | created_at | updated_at | |\n+---------+----------+-------------+------------+------------+--+\n| 1 | categ | non ... | 1 | null | {
"start_time": 1783484412.9988096,
"setup": {
"start": 1783484412.9988327,
"end": 1783484412.9988337,
"duration": 9.5367431640625e-7
},
"generation": {
"start": 1783484412.9988306,
"end": 1783484414.3639843,
"duration": 1.3651537895202637
},
"scoring": {
"start": 1783484414.3640... | true | false | max_turns_reached | {
"correctness": 1,
"num_turns": 1
} | [] | {
"input_tokens": 7157,
"output_tokens": 3,
"final_output_tokens": 3,
"final_input_tokens": 7157
} | 1 | 1 | {
"temperature": 1,
"top_p": 1,
"logprobs": true,
"max_completion_tokens": 4096,
"extra_body": {
"enable_thinking": false,
"top_k": -1,
"min_p": 0,
"return_token_ids": true,
"cache_salt": "0"
}
} | adaleval-bestanswer-singleturn-8k-train | 0 | {
"gibberish": false,
"repetition": false,
"zero_advantage": true
} | false |
246 | [{"role":"system","content":"You are a careful assistant. You are given a long document or problem f(...TRUNCATED) | [{"role":"assistant","content":"A6","reasoning_content":null,"thinking_blocks":null,"tool_calls":nul(...TRUNCATED) | A6 | {"answer":"A6","context":"Question:\n\nLet's call this table terms_relation:\n+---------+----------+(...TRUNCATED) | 1 | null | {"start_time":1783484412.9981372,"setup":{"start":1783484412.9981542,"end":1783484412.9981554,"durat(...TRUNCATED) | true | false | max_turns_reached | {
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} | [] | {
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} | 1 | 1 | {"temperature":1.0,"top_p":1.0,"logprobs":true,"max_completion_tokens":4096,"extra_body":{"enable_th(...TRUNCATED) | adaleval-bestanswer-singleturn-8k-train | 0 | {
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} | 1 | 1 | {"temperature":1.0,"top_p":1.0,"logprobs":true,"max_completion_tokens":4096,"extra_body":{"enable_th(...TRUNCATED) | adaleval-bestanswer-singleturn-8k-train | 0 | {
"gibberish": false,
"repetition": false,
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} | false |
502 | [{"role":"system","content":"You are a careful assistant. You are given a long document or problem f(...TRUNCATED) | [{"role":"assistant","content":"A15","reasoning_content":null,"thinking_blocks":null,"tool_calls":nu(...TRUNCATED) | A15 | {"answer":"A15","context":"Question:\n\nUsing Rails 3, is there a way to use link_to helper, or any (...TRUNCATED) | 1 | null | {"start_time":1783484413.0195243,"setup":{"start":1783484413.0195615,"end":1783484413.0195637,"durat(...TRUNCATED) | true | false | max_turns_reached | {
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502 | [{"role":"system","content":"You are a careful assistant. You are given a long document or problem f(...TRUNCATED) | [{"role":"assistant","content":"A15","reasoning_content":null,"thinking_blocks":null,"tool_calls":nu(...TRUNCATED) | A15 | {"answer":"A15","context":"Question:\n\nUsing Rails 3, is there a way to use link_to helper, or any (...TRUNCATED) | 1 | null | {"start_time":1783484413.0286238,"setup":{"start":1783484413.0286398,"end":1783484413.028641,"durati(...TRUNCATED) | true | false | max_turns_reached | {
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502 | [{"role":"system","content":"You are a careful assistant. You are given a long document or problem f(...TRUNCATED) | [{"role":"assistant","content":"A15","reasoning_content":null,"thinking_blocks":null,"tool_calls":nu(...TRUNCATED) | A15 | {"answer":"A15","context":"Question:\n\nUsing Rails 3, is there a way to use link_to helper, or any (...TRUNCATED) | 1 | null | {"start_time":1783484413.0209467,"setup":{"start":1783484413.0209613,"end":1783484413.0209622,"durat(...TRUNCATED) | true | false | max_turns_reached | {
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267 | [{"role":"system","content":"You are a careful assistant. You are given a long document or problem f(...TRUNCATED) | [{"role":"assistant","content":"A7","reasoning_content":null,"thinking_blocks":null,"tool_calls":nul(...TRUNCATED) | A24 | {"answer":"A24","context":"Question:\n\nI've set my Model field to null=True, which allows NULL in M(...TRUNCATED) | 0 | null | {"start_time":1783484413.07974,"setup":{"start":1783484413.079767,"end":1783484413.079769,"duration"(...TRUNCATED) | true | false | max_turns_reached | {
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} | [] | {
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} | 0 | 1 | {"temperature":1.0,"top_p":1.0,"logprobs":true,"max_completion_tokens":4096,"extra_body":{"enable_th(...TRUNCATED) | adaleval-bestanswer-singleturn-8k-train | 0 | {
"gibberish": false,
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"gibberish": false,
"repetition": false,
"zero_advantage": true
} | false |
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