The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 45 new columns ({'s2pdf:travel', 'dclm:transportation', 's2pdf:science_tech', 'dclm:home_and_hobbies', 'dclm:social_life', 'dclm:education_and_jobs', 'dclm:history_and_geography', 'dclm:politics', 'dclm:entertainment', 's2pdf:fashion_beauty', 's2pdf:finance_business', 's2pdf:health', 's2pdf:software_dev', 'dclm:sports_and_fitness', 's2pdf:literature', 's2pdf:art_design', 'dclm:games', 'dclm:science_math_and_technology', 'dclm:adult_content', 'dclm:religion', 'dclm:fashion_and_beauty', 's2pdf:home_hobbies', 's2pdf:entertainment', 's2pdf:adult', 's2pdf:crime_law', 'dclm:travel_and_tourism', 's2pdf:industrial', 's2pdf:transportation', 's2pdf:games', 'dclm:industrial', 's2pdf:education_jobs', 'dclm:food_and_dining', 'dclm:electronics_and_hardware', 'dclm:software', 's2pdf:religion', 's2pdf:food_dining', 's2pdf:software', 'dclm:health', 's2pdf:sports_fitness', 's2pdf:politics', 'dclm:finance_and_business', 'dclm:crime_and_law', 'dclm:art_and_design', 'dclm:literature', 'dclm:software_development'}) and 110 missing columns ({'mmlu_security_studies:rc::olmes', 'mmlu_moral_disputes:rc::olmes', 'mmlu_philosophy:rc::olmes', 'hellaswag:rc::olmes', 'drop:rc::gen2mc', 'mmlu_virology:rc::olmes', 'winogrande:rc::olmes', 'mmlu_conceptual_physics:rc::olmes', 'minerva_math_counting_and_probability::olmes', 'mt_mbpp_v2fix:rust', 'mmlu_college_physics:rc::olmes', 'minerva_math_geometry::olmes', 'mmlu_sociology:rc::olmes', 'mmlu_jurisprudence:rc::olmes', 'mmlu_logical_fallacies:rc::olmes', 'mmlu_college_computer_science:rc::olmes', 'codex_humaneval:3shot::none', 'mt_mbpp_v2fix:python', 'minerva_math_precalculus::olmes', 'mmlu_professional_accounting:rc::olmes', 'mmlu_computer_security:rc::olmes', 'mmlu_high_school_physics:rc::olmes', 'mmlu_college_medicine:rc::olmes', 'mmlu_astronomy:rc::olmes', 'mmlu_high_school_psychology:rc::olmes', 'mt_mbpp_v2fix:r', 'mmlu_high_school_geography:rc::olmes', 'piqa:rc::olmes', 'mmlu_high_school_microeconomics:rc::olmes', 'mt_mbpp_v2fix:java', 'mmlu_high_school_mathematics:rc::olmes', 'arc_challenge:rc::olmes', 'mmlu_high_school_chemistry:rc::olmes', 'mmlu_high_school_european_history:rc::olmes', 'mmlu_college_biology:rc::olmes', 'mmlu_professional_law:rc::olmes', 'mmlu_human_aging:rc::olmes', 'minerva_math_algebra::olmes', 'basic_skills_pattern:rc::olmes', 'mt_mbpp_v2fix:cpp', 'sciq:rc::olmo3', 'mmlu_global_facts:rc::olmes', 'mt_mbpp_v2fix:go', 'basic_skills_arithmetic:rc::olmes', 'lab_bench_protocolqa', 'basic_skills_coding:rc::olmes', 'mmlu_high_school_computer_science:rc::
...
 'mmlu_public_relations:rc::olmes', 'mt_mbpp_v2fix:c', 'mmlu_professional_psychology:rc::olmes', 'basic_skills_common_knowledge:rc::olmes', 'mt_mbpp_v2fix:bash', 'lambada', 'mmlu_business_ethics:rc::olmes', 'minerva_math_prealgebra::olmes', 'basic_skills_logical_reasoning:rc::olmes', 'mmlu_medical_genetics:rc::olmes', 'arc_easy:rc::olmes', 'mmlu_college_mathematics:rc::olmes', 'mmlu_clinical_knowledge:rc::olmes', 'mmlu_international_law:rc::olmes', 'basic_skills:rc::olmes', 'mmlu_world_religions:rc::olmes', 'minerva_math_intermediate_algebra::olmes', 'mmlu_prehistory:rc::olmes', 'csqa:rc::olmes', 'squad:rc::gen2mc', 'mmlu_moral_scenarios:rc::olmes', 'minerva_math_number_theory::olmes', 'mt_mbpp_v2fix:csharp', 'mmlu_machine_learning:rc::olmes', 'mt_mbpp_v2fix:matlab', 'socialiqa:rc::olmes', 'sciriff_yesno:rc::olmes', 'mmlu_miscellaneous:rc::olmes', 'mmlu_econometrics:rc::olmes', 'mmlu_nutrition:rc::olmes', 'medmcqa:rc::none', 'mmlu_high_school_world_history:rc::olmes', 'mt_mbpp_v2fix:typescript', 'mmlu_marketing:rc::olmes', 'medqa_en:rc::none', 'mt_mbpp_v2fix:haskell', 'qasper_yesno:rc::olmes', 'mmlu_high_school_biology:rc::olmes', 'mmlu_professional_medicine:rc::olmes', 'mt_mbpp_v2fix:scala', 'mmlu_high_school_us_history:rc::olmes', 'mmlu_high_school_macroeconomics:rc::olmes', 'mmlu_college_chemistry:rc::olmes', 'mmlu_anatomy:rc::olmes', 'mbpp:3shot::none', 'mt_mbpp_v2fix:php', 'mmlu_high_school_statistics:rc::olmes', 'mmlu_elementary_mathematics:rc::olmes', 'lab_bench_dbqa'}).

This happened while the csv dataset builder was generating data using

hf://datasets/allenai/olmix/mixture_reuse/theory_validation/dclm_pdfs/ratios.csv (at revision 9d5357ee011020d17e75041991ab37e7641646a2), [/tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_pdfs/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_pdfs/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_pdfs/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_pdfs/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_stackedu/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_stackedu/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_stackedu/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_stackedu/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_pdfs/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_pdfs/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_pdfs/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_pdfs/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_stackedu/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_stackedu/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_stackedu/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_stackedu/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_pdfs/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_pdfs/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_pdfs/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_pdfs/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_stackedu/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_stackedu/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_stackedu/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_stackedu/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed0/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed0/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed0/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed0/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed1/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed1/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed1/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed1/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed2/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed2/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed2/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed2/ratios.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/python3.12/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
              run: string
              name: string
              index: int64
              dclm:adult_content: double
              dclm:art_and_design: double
              dclm:crime_and_law: double
              dclm:education_and_jobs: double
              dclm:electronics_and_hardware: double
              dclm:entertainment: double
              dclm:fashion_and_beauty: double
              dclm:finance_and_business: double
              dclm:food_and_dining: double
              dclm:games: double
              dclm:health: double
              dclm:history_and_geography: double
              dclm:home_and_hobbies: double
              dclm:industrial: double
              dclm:literature: double
              dclm:politics: double
              dclm:religion: double
              dclm:science_math_and_technology: double
              dclm:social_life: double
              dclm:software: double
              dclm:software_development: double
              dclm:sports_and_fitness: double
              dclm:transportation: double
              dclm:travel_and_tourism: double
              s2pdf:adult: double
              s2pdf:art_design: double
              s2pdf:crime_law: double
              s2pdf:education_jobs: double
              s2pdf:entertainment: double
              s2pdf:fashion_beauty: double
              s2pdf:finance_business: double
              s2pdf:food_dining: double
              s2pdf:games: double
              s2pdf:health: double
              s2pdf:home_hobbies: double
              s2pdf:industrial: double
              s2pdf:literature: double
              s2pdf:politics: double
              s2pdf:religion: double
              s2pdf:science_tech: double
              s2pdf:software: double
              s2pdf:software_dev: double
              s2pdf:sports_fitness: double
              s2pdf:transportation: double
              s2pdf:travel: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 6749
              to
              {'run': Value('string'), 'name': Value('string'), 'index': Value('int64'), 'arc_challenge:rc::olmes': Value('float64'), 'arc_easy:rc::olmes': Value('float64'), 'basic_skills:rc::olmes': Value('float64'), 'basic_skills_arithmetic:rc::olmes': Value('float64'), 'basic_skills_coding:rc::olmes': Value('float64'), 'basic_skills_common_knowledge:rc::olmes': Value('float64'), 'basic_skills_logical_reasoning:rc::olmes': Value('float64'), 'basic_skills_pattern:rc::olmes': Value('float64'), 'basic_skills_string_operations:rc::olmes': Value('float64'), 'codex_humaneval:3shot::none': Value('float64'), 'coqa:rc::gen2mc': Value('float64'), 'csqa:rc::olmes': Value('float64'), 'drop:rc::gen2mc': Value('float64'), 'hellaswag:rc::olmes': Value('float64'), 'jeopardy:rc::gen2mc': Value('float64'), 'lab_bench_dbqa': Value('float64'), 'lab_bench_protocolqa': Value('float64'), 'lambada': Value('float64'), 'mbpp:3shot::none': Value('float64'), 'medmcqa:rc::none': Value('float64'), 'medqa_en:rc::none': Value('float64'), 'minerva_math_algebra::olmes': Value('float64'), 'minerva_math_counting_and_probability::olmes': Value('float64'), 'minerva_math_geometry::olmes': Value('float64'), 'minerva_math_intermediate_algebra::olmes': Value('float64'), 'minerva_math_number_theory::olmes': Value('float64'), 'minerva_math_prealgebra::olmes': Value('float64'), 'minerva_math_precalculus::olmes': Value('float64'), 'mmlu_abstract_algebra:rc::olmes': Value('float64'), 'mmlu_anatomy:rc::olmes': Value('float64'), 'mmlu_
              ...
              loat64'), 'mmlu_professional_law:rc::olmes': Value('float64'), 'mmlu_professional_medicine:rc::olmes': Value('float64'), 'mmlu_professional_psychology:rc::olmes': Value('float64'), 'mmlu_public_relations:rc::olmes': Value('float64'), 'mmlu_security_studies:rc::olmes': Value('float64'), 'mmlu_sociology:rc::olmes': Value('float64'), 'mmlu_us_foreign_policy:rc::olmes': Value('float64'), 'mmlu_virology:rc::olmes': Value('float64'), 'mmlu_world_religions:rc::olmes': Value('float64'), 'mt_mbpp_v2fix:bash': Value('float64'), 'mt_mbpp_v2fix:c': Value('float64'), 'mt_mbpp_v2fix:cpp': Value('float64'), 'mt_mbpp_v2fix:csharp': Value('float64'), 'mt_mbpp_v2fix:go': Value('float64'), 'mt_mbpp_v2fix:haskell': Value('float64'), 'mt_mbpp_v2fix:java': Value('float64'), 'mt_mbpp_v2fix:javascript': Value('float64'), 'mt_mbpp_v2fix:matlab': Value('float64'), 'mt_mbpp_v2fix:php': Value('float64'), 'mt_mbpp_v2fix:python': Value('float64'), 'mt_mbpp_v2fix:r': Value('float64'), 'mt_mbpp_v2fix:ruby': Value('float64'), 'mt_mbpp_v2fix:rust': Value('float64'), 'mt_mbpp_v2fix:scala': Value('float64'), 'mt_mbpp_v2fix:swift': Value('float64'), 'mt_mbpp_v2fix:typescript': Value('float64'), 'naturalqs:rc::gen2mc': Value('float64'), 'piqa:rc::olmes': Value('float64'), 'qasper_yesno:rc::olmes': Value('float64'), 'sciq:rc::olmo3': Value('float64'), 'sciriff_yesno:rc::olmes': Value('float64'), 'socialiqa:rc::olmes': Value('float64'), 'squad:rc::gen2mc': Value('float64'), 'winogrande:rc::olmes': 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 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 45 new columns ({'s2pdf:travel', 'dclm:transportation', 's2pdf:science_tech', 'dclm:home_and_hobbies', 'dclm:social_life', 'dclm:education_and_jobs', 'dclm:history_and_geography', 'dclm:politics', 'dclm:entertainment', 's2pdf:fashion_beauty', 's2pdf:finance_business', 's2pdf:health', 's2pdf:software_dev', 'dclm:sports_and_fitness', 's2pdf:literature', 's2pdf:art_design', 'dclm:games', 'dclm:science_math_and_technology', 'dclm:adult_content', 'dclm:religion', 'dclm:fashion_and_beauty', 's2pdf:home_hobbies', 's2pdf:entertainment', 's2pdf:adult', 's2pdf:crime_law', 'dclm:travel_and_tourism', 's2pdf:industrial', 's2pdf:transportation', 's2pdf:games', 'dclm:industrial', 's2pdf:education_jobs', 'dclm:food_and_dining', 'dclm:electronics_and_hardware', 'dclm:software', 's2pdf:religion', 's2pdf:food_dining', 's2pdf:software', 'dclm:health', 's2pdf:sports_fitness', 's2pdf:politics', 'dclm:finance_and_business', 'dclm:crime_and_law', 'dclm:art_and_design', 'dclm:literature', 'dclm:software_development'}) and 110 missing columns ({'mmlu_security_studies:rc::olmes', 'mmlu_moral_disputes:rc::olmes', 'mmlu_philosophy:rc::olmes', 'hellaswag:rc::olmes', 'drop:rc::gen2mc', 'mmlu_virology:rc::olmes', 'winogrande:rc::olmes', 'mmlu_conceptual_physics:rc::olmes', 'minerva_math_counting_and_probability::olmes', 'mt_mbpp_v2fix:rust', 'mmlu_college_physics:rc::olmes', 'minerva_math_geometry::olmes', 'mmlu_sociology:rc::olmes', 'mmlu_jurisprudence:rc::olmes', 'mmlu_logical_fallacies:rc::olmes', 'mmlu_college_computer_science:rc::olmes', 'codex_humaneval:3shot::none', 'mt_mbpp_v2fix:python', 'minerva_math_precalculus::olmes', 'mmlu_professional_accounting:rc::olmes', 'mmlu_computer_security:rc::olmes', 'mmlu_high_school_physics:rc::olmes', 'mmlu_college_medicine:rc::olmes', 'mmlu_astronomy:rc::olmes', 'mmlu_high_school_psychology:rc::olmes', 'mt_mbpp_v2fix:r', 'mmlu_high_school_geography:rc::olmes', 'piqa:rc::olmes', 'mmlu_high_school_microeconomics:rc::olmes', 'mt_mbpp_v2fix:java', 'mmlu_high_school_mathematics:rc::olmes', 'arc_challenge:rc::olmes', 'mmlu_high_school_chemistry:rc::olmes', 'mmlu_high_school_european_history:rc::olmes', 'mmlu_college_biology:rc::olmes', 'mmlu_professional_law:rc::olmes', 'mmlu_human_aging:rc::olmes', 'minerva_math_algebra::olmes', 'basic_skills_pattern:rc::olmes', 'mt_mbpp_v2fix:cpp', 'sciq:rc::olmo3', 'mmlu_global_facts:rc::olmes', 'mt_mbpp_v2fix:go', 'basic_skills_arithmetic:rc::olmes', 'lab_bench_protocolqa', 'basic_skills_coding:rc::olmes', 'mmlu_high_school_computer_science:rc::
              ...
               'mmlu_public_relations:rc::olmes', 'mt_mbpp_v2fix:c', 'mmlu_professional_psychology:rc::olmes', 'basic_skills_common_knowledge:rc::olmes', 'mt_mbpp_v2fix:bash', 'lambada', 'mmlu_business_ethics:rc::olmes', 'minerva_math_prealgebra::olmes', 'basic_skills_logical_reasoning:rc::olmes', 'mmlu_medical_genetics:rc::olmes', 'arc_easy:rc::olmes', 'mmlu_college_mathematics:rc::olmes', 'mmlu_clinical_knowledge:rc::olmes', 'mmlu_international_law:rc::olmes', 'basic_skills:rc::olmes', 'mmlu_world_religions:rc::olmes', 'minerva_math_intermediate_algebra::olmes', 'mmlu_prehistory:rc::olmes', 'csqa:rc::olmes', 'squad:rc::gen2mc', 'mmlu_moral_scenarios:rc::olmes', 'minerva_math_number_theory::olmes', 'mt_mbpp_v2fix:csharp', 'mmlu_machine_learning:rc::olmes', 'mt_mbpp_v2fix:matlab', 'socialiqa:rc::olmes', 'sciriff_yesno:rc::olmes', 'mmlu_miscellaneous:rc::olmes', 'mmlu_econometrics:rc::olmes', 'mmlu_nutrition:rc::olmes', 'medmcqa:rc::none', 'mmlu_high_school_world_history:rc::olmes', 'mt_mbpp_v2fix:typescript', 'mmlu_marketing:rc::olmes', 'medqa_en:rc::none', 'mt_mbpp_v2fix:haskell', 'qasper_yesno:rc::olmes', 'mmlu_high_school_biology:rc::olmes', 'mmlu_professional_medicine:rc::olmes', 'mt_mbpp_v2fix:scala', 'mmlu_high_school_us_history:rc::olmes', 'mmlu_high_school_macroeconomics:rc::olmes', 'mmlu_college_chemistry:rc::olmes', 'mmlu_anatomy:rc::olmes', 'mbpp:3shot::none', 'mt_mbpp_v2fix:php', 'mmlu_high_school_statistics:rc::olmes', 'mmlu_elementary_mathematics:rc::olmes', 'lab_bench_dbqa'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/allenai/olmix/mixture_reuse/theory_validation/dclm_pdfs/ratios.csv (at revision 9d5357ee011020d17e75041991ab37e7641646a2), [/tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_pdfs/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_pdfs/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_pdfs/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_pdfs/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_stackedu/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_stackedu/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_stackedu/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/dclm_stackedu/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_pdfs/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_pdfs/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_pdfs/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_pdfs/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_stackedu/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_stackedu/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_stackedu/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/intermediate_mix_reuse_gap_dclm_stackedu/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_pdfs/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_pdfs/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_pdfs/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_pdfs/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_stackedu/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_stackedu/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_stackedu/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/theory_validation/weak_mix_reuse_gap_dclm_stackedu/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed0/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed0/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed0/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed0/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed1/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed1/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed1/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed1/ratios.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed2/metrics.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed2/metrics.csv), /tmp/hf-datasets-cache/medium/datasets/88478425032994-config-parquet-and-info-allenai-olmix-e1af2bc0/hub/datasets--allenai--olmix/snapshots/9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed2/ratios.csv (origin=hf://datasets/allenai/olmix@9d5357ee011020d17e75041991ab37e7641646a2/mixture_reuse/real_world/partial_reuse/update1_add_stack_edu_recompute_software_dev_seed2/ratios.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.

run
string
name
string
index
int64
arc_challenge:rc::olmes
float64
arc_easy:rc::olmes
float64
basic_skills:rc::olmes
float64
basic_skills_arithmetic:rc::olmes
float64
basic_skills_coding:rc::olmes
float64
basic_skills_common_knowledge:rc::olmes
float64
basic_skills_logical_reasoning:rc::olmes
float64
basic_skills_pattern:rc::olmes
float64
basic_skills_string_operations:rc::olmes
float64
codex_humaneval:3shot::none
float64
coqa:rc::gen2mc
float64
csqa:rc::olmes
float64
drop:rc::gen2mc
float64
hellaswag:rc::olmes
float64
jeopardy:rc::gen2mc
float64
lab_bench_dbqa
float64
lab_bench_protocolqa
float64
lambada
float64
mbpp:3shot::none
float64
medmcqa:rc::none
float64
medqa_en:rc::none
float64
minerva_math_algebra::olmes
float64
minerva_math_counting_and_probability::olmes
float64
minerva_math_geometry::olmes
float64
minerva_math_intermediate_algebra::olmes
float64
minerva_math_number_theory::olmes
float64
minerva_math_prealgebra::olmes
float64
minerva_math_precalculus::olmes
float64
mmlu_abstract_algebra:rc::olmes
float64
mmlu_anatomy:rc::olmes
float64
mmlu_astronomy:rc::olmes
float64
mmlu_business_ethics:rc::olmes
float64
mmlu_clinical_knowledge:rc::olmes
float64
mmlu_college_biology:rc::olmes
float64
mmlu_college_chemistry:rc::olmes
float64
mmlu_college_computer_science:rc::olmes
float64
mmlu_college_mathematics:rc::olmes
float64
mmlu_college_medicine:rc::olmes
float64
mmlu_college_physics:rc::olmes
float64
mmlu_computer_security:rc::olmes
float64
mmlu_conceptual_physics:rc::olmes
float64
mmlu_econometrics:rc::olmes
float64
mmlu_electrical_engineering:rc::olmes
float64
mmlu_elementary_mathematics:rc::olmes
float64
mmlu_formal_logic:rc::olmes
float64
mmlu_global_facts:rc::olmes
float64
mmlu_high_school_biology:rc::olmes
float64
mmlu_high_school_chemistry:rc::olmes
float64
mmlu_high_school_computer_science:rc::olmes
float64
mmlu_high_school_european_history:rc::olmes
float64
mmlu_high_school_geography:rc::olmes
float64
mmlu_high_school_government_and_politics:rc::olmes
float64
mmlu_high_school_macroeconomics:rc::olmes
float64
mmlu_high_school_mathematics:rc::olmes
float64
mmlu_high_school_microeconomics:rc::olmes
float64
mmlu_high_school_physics:rc::olmes
float64
mmlu_high_school_psychology:rc::olmes
float64
mmlu_high_school_statistics:rc::olmes
float64
mmlu_high_school_us_history:rc::olmes
float64
mmlu_high_school_world_history:rc::olmes
float64
mmlu_human_aging:rc::olmes
float64
mmlu_human_sexuality:rc::olmes
float64
mmlu_international_law:rc::olmes
float64
mmlu_jurisprudence:rc::olmes
float64
mmlu_logical_fallacies:rc::olmes
float64
mmlu_machine_learning:rc::olmes
float64
mmlu_management:rc::olmes
float64
mmlu_marketing:rc::olmes
float64
mmlu_medical_genetics:rc::olmes
float64
mmlu_miscellaneous:rc::olmes
float64
mmlu_moral_disputes:rc::olmes
float64
mmlu_moral_scenarios:rc::olmes
float64
mmlu_nutrition:rc::olmes
float64
mmlu_philosophy:rc::olmes
float64
mmlu_prehistory:rc::olmes
float64
mmlu_professional_accounting:rc::olmes
float64
mmlu_professional_law:rc::olmes
float64
mmlu_professional_medicine:rc::olmes
float64
mmlu_professional_psychology:rc::olmes
float64
mmlu_public_relations:rc::olmes
float64
mmlu_security_studies:rc::olmes
float64
mmlu_sociology:rc::olmes
float64
mmlu_us_foreign_policy:rc::olmes
float64
mmlu_virology:rc::olmes
float64
mmlu_world_religions:rc::olmes
float64
mt_mbpp_v2fix:bash
float64
mt_mbpp_v2fix:c
float64
mt_mbpp_v2fix:cpp
float64
mt_mbpp_v2fix:csharp
float64
mt_mbpp_v2fix:go
float64
mt_mbpp_v2fix:haskell
float64
mt_mbpp_v2fix:java
float64
mt_mbpp_v2fix:javascript
float64
mt_mbpp_v2fix:matlab
float64
mt_mbpp_v2fix:php
float64
mt_mbpp_v2fix:python
float64
mt_mbpp_v2fix:r
float64
mt_mbpp_v2fix:ruby
float64
mt_mbpp_v2fix:rust
float64
mt_mbpp_v2fix:scala
float64
mt_mbpp_v2fix:swift
float64
mt_mbpp_v2fix:typescript
float64
naturalqs:rc::gen2mc
float64
piqa:rc::olmes
float64
qasper_yesno:rc::olmes
float64
sciq:rc::olmo3
float64
sciriff_yesno:rc::olmes
float64
socialiqa:rc::olmes
float64
squad:rc::gen2mc
float64
winogrande:rc::olmes
float64
md94cxil
backfill-5xC-30m-dclm-s2pdf-flat-83ea88e1-0000
0
1.646324
1.585383
2.525773
2.57052
4.187075
1.758795
0.862001
1.983364
3.792881
2.794646
1.49357
1.835288
2.745005
1.237984
1.973217
5.369895
2.031037
1.298223
3.212887
2.393018
1.905506
1.995711
1.611379
2.155235
2.161568
1.849216
1.759472
1.972276
2.149022
1.797072
1.892648
1.894635
1.827794
1.698308
3.064875
2.499725
3.017362
1.85351
3.052092
2.038457
1.639636
1.625584
2.370182
3.149211
3.234326
2.704817
1.713046
2.743278
2.527913
1.189725
1.661867
1.040064
1.371628
3.489143
1.485567
2.31841
1.595376
1.92378
1.189187
1.205046
1.579559
1.647095
1.079409
1.423674
1.405765
2.316965
1.50715
1.613741
2.269817
2.218462
1.312257
0.495789
1.635006
1.412406
1.858873
1.673932
1.186639
1.761551
1.477064
1.785385
1.134332
1.219606
1.139089
1.622053
2.461649
3.360259
2.659945
2.783422
2.292833
2.979105
3.063964
2.227142
2.909936
2.888345
2.606683
3.212909
3.141748
3.646461
3.318046
3.467647
2.952425
2.832328
2.388889
1.635668
0.411124
1.742954
0.540621
1.621066
1.377888
1.563911
lfagfncq
backfill-5xC-30m-dclm-s2pdf-flat-83ea88e1-0001
1
1.551578
1.47611
2.329994
2.456856
3.644109
1.655133
0.75143
1.787062
3.685375
2.569809
1.460769
1.775269
2.45312
1.195077
1.993773
4.925691
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