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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 3 new columns ({'answer', 'label', 'generated_text'}) and 3 missing columns ({'query_probs', 'query_tokens', 'confidence'}).

This happened while the json dataset builder was generating data using

hf://datasets/Lihuchen/query-level-uncertainty/label/updated_gsm8k_llama-3.1-8b-instruct.json (at revision 450e7712dd880b165a0de4e20d8bb5476d28e4d2), [/tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/gsm8k_layer_p_yes_llama-3.1-8b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/gsm8k_layer_p_yes_llama-3.1-8b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/gsm8k_layer_p_yes_phi-3-mini-4k-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/gsm8k_layer_p_yes_phi-3-mini-4k-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/gsm8k_layer_p_yes_qwen2.5-14b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/gsm8k_layer_p_yes_qwen2.5-14b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/sciq_layer_p_yes_llama-3.1-8b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/sciq_layer_p_yes_llama-3.1-8b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/sciq_layer_p_yes_phi-3-mini-4k-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/sciq_layer_p_yes_phi-3-mini-4k-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/sciq_layer_p_yes_qwen2.5-14b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/sciq_layer_p_yes_qwen2.5-14b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/trivia_qa_layer_p_yes_llama-3.1-8b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/trivia_qa_layer_p_yes_llama-3.1-8b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/trivia_qa_layer_p_yes_phi-3-mini-4k-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/trivia_qa_layer_p_yes_phi-3-mini-4k-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/trivia_qa_layer_p_yes_qwen2.5-14b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/trivia_qa_layer_p_yes_qwen2.5-14b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_gsm8k_llama-3.1-8b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_gsm8k_llama-3.1-8b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_gsm8k_phi-3-mini-4k-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_gsm8k_phi-3-mini-4k-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_gsm8k_qwen2.5-14b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_gsm8k_qwen2.5-14b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_sciq_llama-3.1-8b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_sciq_llama-3.1-8b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_sciq_phi-3-mini-4k-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_sciq_phi-3-mini-4k-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_sciq_qwen2.5-14b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_sciq_qwen2.5-14b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_trivia_qa_llama-3.1-8b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_trivia_qa_llama-3.1-8b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_trivia_qa_phi-3-mini-4k-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_trivia_qa_phi-3-mini-4k-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_trivia_qa_qwen2.5-14b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_trivia_qa_qwen2.5-14b-instruct.json)]

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/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              query: string
              answer: string
              generated_text: string
              label: int64
              to
              {'query_tokens': List(Value('string')), 'query_probs': List(List(Value('float64'))), 'confidence': Value('float64'), 'query': 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 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1889, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 3 new columns ({'answer', 'label', 'generated_text'}) and 3 missing columns ({'query_probs', 'query_tokens', 'confidence'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Lihuchen/query-level-uncertainty/label/updated_gsm8k_llama-3.1-8b-instruct.json (at revision 450e7712dd880b165a0de4e20d8bb5476d28e4d2), [/tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/gsm8k_layer_p_yes_llama-3.1-8b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/gsm8k_layer_p_yes_llama-3.1-8b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/gsm8k_layer_p_yes_phi-3-mini-4k-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/gsm8k_layer_p_yes_phi-3-mini-4k-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/gsm8k_layer_p_yes_qwen2.5-14b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/gsm8k_layer_p_yes_qwen2.5-14b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/sciq_layer_p_yes_llama-3.1-8b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/sciq_layer_p_yes_llama-3.1-8b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/sciq_layer_p_yes_phi-3-mini-4k-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/sciq_layer_p_yes_phi-3-mini-4k-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/sciq_layer_p_yes_qwen2.5-14b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/sciq_layer_p_yes_qwen2.5-14b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/trivia_qa_layer_p_yes_llama-3.1-8b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/trivia_qa_layer_p_yes_llama-3.1-8b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/trivia_qa_layer_p_yes_phi-3-mini-4k-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/trivia_qa_layer_p_yes_phi-3-mini-4k-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/trivia_qa_layer_p_yes_qwen2.5-14b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/data/trivia_qa_layer_p_yes_qwen2.5-14b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_gsm8k_llama-3.1-8b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_gsm8k_llama-3.1-8b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_gsm8k_phi-3-mini-4k-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_gsm8k_phi-3-mini-4k-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_gsm8k_qwen2.5-14b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_gsm8k_qwen2.5-14b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_sciq_llama-3.1-8b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_sciq_llama-3.1-8b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_sciq_phi-3-mini-4k-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_sciq_phi-3-mini-4k-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_sciq_qwen2.5-14b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_sciq_qwen2.5-14b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_trivia_qa_llama-3.1-8b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_trivia_qa_llama-3.1-8b-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_trivia_qa_phi-3-mini-4k-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_trivia_qa_phi-3-mini-4k-instruct.json), /tmp/hf-datasets-cache/medium/datasets/64575664740473-config-parquet-and-info-Lihuchen-query-level-unce-de1ad3d6/hub/datasets--Lihuchen--query-level-uncertainty/snapshots/450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_trivia_qa_qwen2.5-14b-instruct.json (origin=hf://datasets/Lihuchen/query-level-uncertainty@450e7712dd880b165a0de4e20d8bb5476d28e4d2/label/updated_trivia_qa_qwen2.5-14b-instruct.json)]
              
              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)

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query_tokens
list
query_probs
list
confidence
float64
query
string
[ "ĠNatal", "ia", "Ġsold", "Ġclips", "Ġto", "Ġ", "48", "Ġof", "Ġher", "Ġfriends", "Ġin", "ĠApril", ",", "Ġand", "Ġthen", "Ġshe", "Ġsold", "Ġhalf", "Ġas", "Ġmany", "Ġclips", "Ġin", "ĠMay", ".", "ĠHow", "Ġmany", "Ġclips", "Ġdid", "ĠNatal", "ia", "Ġsell", "Ġa...
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1
Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?
[ "ĠW", "eng", "Ġearns", "Ġ$", "12", "Ġan", "Ġhour", "Ġfor", "Ġbabys", "itting", ".", "ĠYesterday", ",", "Ġshe", "Ġjust", "Ġdid", "Ġ", "50", "Ġminutes", "Ġof", "Ġbabys", "itting", ".", "ĠHow", "Ġmuch", "Ġdid", "Ġshe", "Ġearn", "?", "<|eot_id|>", "<|start_hea...
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1
Weng earns $12 an hour for babysitting. Yesterday, she just did 50 minutes of babysitting. How much did she earn?
[ "ĠBetty", "Ġis", "Ġsaving", "Ġmoney", "Ġfor", "Ġa", "Ġnew", "Ġwallet", "Ġwhich", "Ġcosts", "Ġ$", "100", ".", "ĠBetty", "Ġhas", "Ġonly", "Ġhalf", "Ġof", "Ġthe", "Ġmoney", "Ġshe", "Ġneeds", ".", "ĠHer", "Ġparents", "Ġdecided", "Ġto", "Ġgive", "Ġher", "Ġ$", "...
[ [ 0.498291015625, 0.4970703125, 0.50048828125, 0.499755859375, 0.492919921875, 0.490234375, 0.482421875, 0.48779296875, 0.5029296875, 0.49169921875, 0.50244140625, 0.5, 0.52685546875, 0.5068359375, 0.474609375, 0.471435546875, 0.4560546875, 0.4...
1
Betty is saving money for a new wallet which costs $100. Betty has only half of the money she needs. Her parents decided to give her $15 for that purpose, and her grandparents twice as much as her parents. How much more money does Betty need to buy the wallet?
[ "ĠJulie", "Ġis", "Ġreading", "Ġa", "Ġ", "120", "-page", "Ġbook", ".", "ĠYesterday", ",", "Ġshe", "Ġwas", "Ġable", "Ġto", "Ġread", "Ġ", "12", "Ġpages", "Ġand", "Ġtoday", ",", "Ġshe", "Ġread", "Ġtwice", "Ġas", "Ġmany", "Ġpages", "Ġas", "Ġyesterday", ".", "...
[ [ 0.5009765625, 0.495849609375, 0.49267578125, 0.49365234375, 0.4912109375, 0.49609375, 0.50048828125, 0.4990234375, 0.51513671875, 0.498046875, 0.50244140625, 0.505859375, 0.52587890625, 0.50146484375, 0.469482421875, 0.484619140625, 0.462890625, ...
1
Julie is reading a 120-page book. Yesterday, she was able to read 12 pages and today, she read twice as many pages as yesterday. If she wants to read half of the remaining pages tomorrow, how many pages should she read?
[ "ĠJames", "Ġwrites", "Ġa", "Ġ", "3", "-page", "Ġletter", "Ġto", "Ġ", "2", "Ġdifferent", "Ġfriends", "Ġtwice", "Ġa", "Ġweek", ".", "Ġ", "ĠHow", "Ġmany", "Ġpages", "Ġdoes", "Ġhe", "Ġwrite", "Ġa", "Ġyear", "?", "<|eot_id|>", "<|start_header_id|>", "assistant", ...
[ [ 0.499267578125, 0.49365234375, 0.495361328125, 0.493408203125, 0.488525390625, 0.493896484375, 0.489990234375, 0.494140625, 0.5146484375, 0.49853515625, 0.51123046875, 0.50537109375, 0.52490234375, 0.50244140625, 0.485107421875, 0.479248046875, 0...
1
James writes a 3-page letter to 2 different friends twice a week. How many pages does he write a year?
[ "ĠMark", "Ġhas", "Ġa", "Ġgarden", "Ġwith", "Ġflowers", ".", "ĠHe", "Ġplanted", "Ġplants", "Ġof", "Ġthree", "Ġdifferent", "Ġcolors", "Ġin", "Ġit", ".", "ĠTen", "Ġof", "Ġthem", "Ġare", "Ġyellow", ",", "Ġand", "Ġthere", "Ġare", "Ġ", "80", "%", "Ġmore", "Ġof",...
[ [ 0.499755859375, 0.50048828125, 0.50244140625, 0.5048828125, 0.50048828125, 0.50634765625, 0.521484375, 0.529296875, 0.53369140625, 0.51806640625, 0.5263671875, 0.515625, 0.5185546875, 0.4921875, 0.4658203125, 0.468505859375, 0.466064453125, 0...
1
Mark has a garden with flowers. He planted plants of three different colors in it. Ten of them are yellow, and there are 80% more of those in purple. There are only 25% as many green flowers as there are yellow and purple flowers. How many flowers does Mark have in his garden?
[ "ĠAlbert", "Ġis", "Ġwondering", "Ġhow", "Ġmuch", "Ġpizza", "Ġhe", "Ġcan", "Ġeat", "Ġin", "Ġone", "Ġday", ".", "ĠHe", "Ġbuys", "Ġ", "2", "Ġlarge", "Ġpizzas", "Ġand", "Ġ", "2", "Ġsmall", "Ġpizzas", ".", "ĠA", "Ġlarge", "Ġpizza", "Ġhas", "Ġ", "16", "Ġslices...
[ [ 0.49853515625, 0.4873046875, 0.4892578125, 0.484375, 0.47998046875, 0.48583984375, 0.487548828125, 0.49072265625, 0.50146484375, 0.495361328125, 0.51123046875, 0.498779296875, 0.5224609375, 0.51123046875, 0.4912109375, 0.473388671875, 0.473388671...
1
Albert is wondering how much pizza he can eat in one day. He buys 2 large pizzas and 2 small pizzas. A large pizza has 16 slices and a small pizza has 8 slices. If he eats it all, how many pieces does he eat that day?
["ĠKen","Ġcreated","Ġa","Ġcare","Ġpackage","Ġto","Ġsend","Ġto","Ġhis","Ġbrother",",","Ġwh(...TRUNCATED)
[[0.49609375,0.48828125,0.487548828125,0.487060546875,0.48486328125,0.49267578125,0.5009765625,0.501(...TRUNCATED)
1
"Ken created a care package to send to his brother, who was away at boarding school. Ken placed a b(...TRUNCATED)
["ĠAlexis","Ġis","Ġapplying","Ġfor","Ġa","Ġnew","Ġjob","Ġand","Ġbought","Ġa","Ġnew","Ġse(...TRUNCATED)
[[0.501953125,0.499755859375,0.498046875,0.49560546875,0.49755859375,0.505859375,0.50732421875,0.513(...TRUNCATED)
0.999512
"Alexis is applying for a new job and bought a new set of business clothes to wear to the interview.(...TRUNCATED)
["ĠTina","Ġmakes","Ġ$","18",".","00","Ġan","Ġhour",".","Ġ","ĠIf","Ġshe","Ġworks","Ġmore","(...TRUNCATED)
[[0.499755859375,0.49609375,0.497314453125,0.5029296875,0.4951171875,0.50537109375,0.498779296875,0.(...TRUNCATED)
1
"Tina makes $18.00 an hour. If she works more than 8 hours per shift, she is eligible for overtime,(...TRUNCATED)
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