Datasets:

---

DropTheHQ

/

benchgecko-ai-models

like 0

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 49 new columns ({'score_cadeval', 'score_arc-ai2', 'score_frontiermath-tier-4-2025-07-01-private', 'score_bbh', 'score_mmlu', 'score_gso-bench', 'score_arc-agi', 'score_videomme', 'release_date', 'is_open_source', 'score_vpct', 'score_hle', 'score_simplebench', 'score_triviaqa', 'model_type', 'score_frontiermath-2025-02-28-private', 'context_window', 'score_gsm8k', 'score_gpqa-diamond', 'provider_slug', 'score_anli', 'score_osworld', 'score_winogrande', 'score_balrog', 'score_cybench', 'score_piqa', 'score_swe-bench-verified-bash-only', 'input_price_per_mtok', 'score_hellaswag', 'score_geobench', 'output_price_per_mtok', 'score_arc-agi-2', 'score_lech-mazur-writing', 'score_aider-polyglot', 'score_simpleqa-verified', 'score_scienceqa', 'score_fiction-livebench', 'score_otis-mock-aime-2024-2025', 'score_weirdml', 'score_deepresearch-bench', 'avg_score', 'score_apex-agents', 'score_chess-puzzles', 'score_lambada', 'score_the-agent-company', 'score_terminal-bench', 'score_openbookqa', 'score_math-level-5', 'provider'}) and 10 missing columns ({'category', 'models_tested', 'top_score_1', 'top_model_1', 'unit', 'max_score', 'top_model_2', 'top_score_3', 'top_score_2', 'top_model_3'}).

This happened while the csv dataset builder was generating data using

hf://datasets/DropTheHQ/benchgecko-ai-models/models.csv (at revision ef51a045131e9855602e4e25afd7a94e86ec91a1), [/tmp/hf-datasets-cache/medium/datasets/66639039558395-config-parquet-and-info-DropTheHQ-benchgecko-ai-m-5349339c/hub/datasets--DropTheHQ--benchgecko-ai-models/snapshots/ef51a045131e9855602e4e25afd7a94e86ec91a1/benchmarks.csv (origin=hf://datasets/DropTheHQ/benchgecko-ai-models@ef51a045131e9855602e4e25afd7a94e86ec91a1/benchmarks.csv), /tmp/hf-datasets-cache/medium/datasets/66639039558395-config-parquet-and-info-DropTheHQ-benchgecko-ai-m-5349339c/hub/datasets--DropTheHQ--benchgecko-ai-models/snapshots/ef51a045131e9855602e4e25afd7a94e86ec91a1/models.csv (origin=hf://datasets/DropTheHQ/benchgecko-ai-models@ef51a045131e9855602e4e25afd7a94e86ec91a1/models.csv), /tmp/hf-datasets-cache/medium/datasets/66639039558395-config-parquet-and-info-DropTheHQ-benchgecko-ai-m-5349339c/hub/datasets--DropTheHQ--benchgecko-ai-models/snapshots/ef51a045131e9855602e4e25afd7a94e86ec91a1/providers.csv (origin=hf://datasets/DropTheHQ/benchgecko-ai-models@ef51a045131e9855602e4e25afd7a94e86ec91a1/providers.csv), /tmp/hf-datasets-cache/medium/datasets/66639039558395-config-parquet-and-info-DropTheHQ-benchgecko-ai-m-5349339c/hub/datasets--DropTheHQ--benchgecko-ai-models/snapshots/ef51a045131e9855602e4e25afd7a94e86ec91a1/scores.csv (origin=hf://datasets/DropTheHQ/benchgecko-ai-models@ef51a045131e9855602e4e25afd7a94e86ec91a1/scores.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 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, 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
              slug: string
              name: string
              provider: string
              provider_slug: string
              avg_score: double
              input_price_per_mtok: double
              output_price_per_mtok: double
              context_window: int64
              is_open_source: bool
              release_date: string
              model_type: string
              score_aider-polyglot: double
              score_anli: double
              score_apex-agents: double
              score_arc-agi: double
              score_arc-agi-2: double
              score_arc-ai2: double
              score_balrog: double
              score_bbh: double
              score_cadeval: double
              score_chess-puzzles: double
              score_cybench: double
              score_deepresearch-bench: double
              score_fiction-livebench: double
              score_frontiermath-2025-02-28-private: double
              score_frontiermath-tier-4-2025-07-01-private: double
              score_geobench: double
              score_gpqa-diamond: double
              score_gsm8k: double
              score_gso-bench: double
              score_hellaswag: double
              score_hle: double
              score_lambada: double
              score_lech-mazur-writing: double
              score_math-level-5: double
              score_mmlu: double
              score_openbookqa: double
              score_osworld: double
              score_otis-mock-aime-2024-2025: double
              score_piqa: double
              score_scienceqa: double
              score_simplebench: double
              score_simpleqa-verified: double
              score_swe-bench-verified-bash-only: double
              score_terminal-bench: double
              score_the-agent-company: double
              score_triviaqa: double
              score_videomme: double
              score_vpct: double
              score_weirdml: double
              score_winogrande: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 7048
              to
              {'slug': Value('string'), 'name': Value('string'), 'category': Value('string'), 'max_score': Value('int64'), 'unit': Value('string'), 'models_tested': Value('int64'), 'top_model_1': Value('string'), 'top_score_1': Value('float64'), 'top_model_2': Value('string'), 'top_score_2': Value('float64'), 'top_model_3': Value('string'), 'top_score_3': 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 1739, 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 1892, 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 49 new columns ({'score_cadeval', 'score_arc-ai2', 'score_frontiermath-tier-4-2025-07-01-private', 'score_bbh', 'score_mmlu', 'score_gso-bench', 'score_arc-agi', 'score_videomme', 'release_date', 'is_open_source', 'score_vpct', 'score_hle', 'score_simplebench', 'score_triviaqa', 'model_type', 'score_frontiermath-2025-02-28-private', 'context_window', 'score_gsm8k', 'score_gpqa-diamond', 'provider_slug', 'score_anli', 'score_osworld', 'score_winogrande', 'score_balrog', 'score_cybench', 'score_piqa', 'score_swe-bench-verified-bash-only', 'input_price_per_mtok', 'score_hellaswag', 'score_geobench', 'output_price_per_mtok', 'score_arc-agi-2', 'score_lech-mazur-writing', 'score_aider-polyglot', 'score_simpleqa-verified', 'score_scienceqa', 'score_fiction-livebench', 'score_otis-mock-aime-2024-2025', 'score_weirdml', 'score_deepresearch-bench', 'avg_score', 'score_apex-agents', 'score_chess-puzzles', 'score_lambada', 'score_the-agent-company', 'score_terminal-bench', 'score_openbookqa', 'score_math-level-5', 'provider'}) and 10 missing columns ({'category', 'models_tested', 'top_score_1', 'top_model_1', 'unit', 'max_score', 'top_model_2', 'top_score_3', 'top_score_2', 'top_model_3'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/DropTheHQ/benchgecko-ai-models/models.csv (at revision ef51a045131e9855602e4e25afd7a94e86ec91a1), [/tmp/hf-datasets-cache/medium/datasets/66639039558395-config-parquet-and-info-DropTheHQ-benchgecko-ai-m-5349339c/hub/datasets--DropTheHQ--benchgecko-ai-models/snapshots/ef51a045131e9855602e4e25afd7a94e86ec91a1/benchmarks.csv (origin=hf://datasets/DropTheHQ/benchgecko-ai-models@ef51a045131e9855602e4e25afd7a94e86ec91a1/benchmarks.csv), /tmp/hf-datasets-cache/medium/datasets/66639039558395-config-parquet-and-info-DropTheHQ-benchgecko-ai-m-5349339c/hub/datasets--DropTheHQ--benchgecko-ai-models/snapshots/ef51a045131e9855602e4e25afd7a94e86ec91a1/models.csv (origin=hf://datasets/DropTheHQ/benchgecko-ai-models@ef51a045131e9855602e4e25afd7a94e86ec91a1/models.csv), /tmp/hf-datasets-cache/medium/datasets/66639039558395-config-parquet-and-info-DropTheHQ-benchgecko-ai-m-5349339c/hub/datasets--DropTheHQ--benchgecko-ai-models/snapshots/ef51a045131e9855602e4e25afd7a94e86ec91a1/providers.csv (origin=hf://datasets/DropTheHQ/benchgecko-ai-models@ef51a045131e9855602e4e25afd7a94e86ec91a1/providers.csv), /tmp/hf-datasets-cache/medium/datasets/66639039558395-config-parquet-and-info-DropTheHQ-benchgecko-ai-m-5349339c/hub/datasets--DropTheHQ--benchgecko-ai-models/snapshots/ef51a045131e9855602e4e25afd7a94e86ec91a1/scores.csv (origin=hf://datasets/DropTheHQ/benchgecko-ai-models@ef51a045131e9855602e4e25afd7a94e86ec91a1/scores.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)