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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 1 new columns ({'model_id'}) and 1 missing columns ({'dataset_id'}). This happened while the json dataset builder was generating data using zip://HuggingKG_V20241215174821/collection_contain_model.json::/tmp/hf-datasets-cache/medium/datasets/33879025610851-config-parquet-and-info-cqsss-HuggingKG-4ad3c998/hub/datasets--cqsss--HuggingKG/snapshots/736ada3ae7661c27db8f705b6f6345a306a50df6/HuggingKG_V20241215174821.zip 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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast collection_slug: string model_id: string -- schema metadata -- pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 339 to {'collection_slug': Value(dtype='string', id=None), 'dataset_id': Value(dtype='string', id=None)} 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 1420, 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 1052, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, 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 1 new columns ({'model_id'}) and 1 missing columns ({'dataset_id'}). This happened while the json dataset builder was generating data using zip://HuggingKG_V20241215174821/collection_contain_model.json::/tmp/hf-datasets-cache/medium/datasets/33879025610851-config-parquet-and-info-cqsss-HuggingKG-4ad3c998/hub/datasets--cqsss--HuggingKG/snapshots/736ada3ae7661c27db8f705b6f6345a306a50df6/HuggingKG_V20241215174821.zip 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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collection_slug
string | dataset_id
string |
---|---|
allenai/pixmo-674746ea613028006285687b | allenai/pixmo-docs |
allenai/pixmo-674746ea613028006285687b | allenai/pixmo-cap |
allenai/pixmo-674746ea613028006285687b | allenai/pixmo-points |
allenai/pixmo-674746ea613028006285687b | allenai/pixmo-cap-qa |
allenai/pixmo-674746ea613028006285687b | allenai/pixmo-clocks |
allenai/pixmo-674746ea613028006285687b | allenai/pixmo-ask-model-anything |
allenai/pixmo-674746ea613028006285687b | allenai/pixmo-point-explanations |
allenai/pixmo-674746ea613028006285687b | allenai/pixmo-count |
allenai/olmo-2-674117b93ab84e98afc72edc | allenai/olmo-mix-1124 |
allenai/olmo-2-674117b93ab84e98afc72edc | allenai/dolmino-mix-1124 |
allenai/olmo-2-674117b93ab84e98afc72edc | allenai/olmo-2-1124-13b-preference-mix |
allenai/olmo-2-674117b93ab84e98afc72edc | allenai/olmo-2-1124-7b-preference-mix |
allenai/olmo-2-674117b93ab84e98afc72edc | allenai/tulu-3-sft-olmo-2-mixture |
allenai/olmo-2-674117b93ab84e98afc72edc | allenai/RLVR-GSM-MATH-IF-Mixed-Constraints |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-sft-mixture |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/llama-3.1-tulu-3-8b-preference-mixture |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/llama-3.1-tulu-3-70b-preference-mixture |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-sft-personas-math |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-sft-personas-instruction-following |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-sft-personas-math-grade |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-sft-personas-algebra |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-sft-personas-code |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/coconot |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/wildjailbreak |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-hard-coded-10x |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-pref-personas-instruction-following |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-wildchat-ultrafeedback |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-sft-prompts-ultrafeedback |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-sft-reused-off-policy |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-sft-reused-on-policy-8b |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-wildchat-if-on-policy-8b |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-IF-augmented-on-policy-8b |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-wildchat-reused-on-policy-8b |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-ultrafeedback-cleaned-on-policy-8b |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-sft-reused-on-policy-70b |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-wildchat-if-on-policy-70b |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-IF-augmented-on-policy-70b |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-wildchat-unused |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-wildchat-reused-on-policy-70b |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/tulu-3-ultrafeedback-cleaned-on-policy-70b |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/RLVR-GSM-MATH-IF-Mixed-Constraints |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/RLVR-GSM |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/RLVR-MATH |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/RLVR-IFeval |
allenai/tulu-3-datasets-673b8df14442393f7213f372 | allenai/wildguardmix |
taohu/mask-is-all-you-need-6749a2ca0be7c4c5c055c122 | taohu/wds_indices_imagenet256 |
taohu/mask-is-all-you-need-6749a2ca0be7c4c5c055c122 | taohu/faceforensics_h5 |
taohu/mask-is-all-you-need-6749a2ca0be7c4c5c055c122 | taohu/cityscapes_wds_indices |
taohu/mask-is-all-you-need-6749a2ca0be7c4c5c055c122 | taohu/coco_wds_indices |
issai/issai-kazllm-10-6732d58c81bcaf177442c362 | issai/KazLLM_Benchmark_Dataset |
meta-llama/metas-llama-31-models-and-evals-675bfd70e574a62dd0e40565 | meta-llama/Llama-3.1-8B-evals |
meta-llama/metas-llama-31-models-and-evals-675bfd70e574a62dd0e40565 | meta-llama/Llama-3.1-405B-evals |
meta-llama/metas-llama-31-models-and-evals-675bfd70e574a62dd0e40565 | meta-llama/Llama-3.1-70B-evals |
meta-llama/metas-llama-31-models-and-evals-675bfd70e574a62dd0e40565 | meta-llama/Llama-3.1-405B-Instruct-evals |
meta-llama/metas-llama-31-models-and-evals-675bfd70e574a62dd0e40565 | meta-llama/Llama-3.1-8B-Instruct-evals |
meta-llama/metas-llama-31-models-and-evals-675bfd70e574a62dd0e40565 | meta-llama/Llama-3.1-70B-Instruct-evals |
HuggingFaceFW/fineweb2-6755657a481dae41e8fbba4d | HuggingFaceFW/fineweb-2 |
toloka/u-math-and-math-university-level-math-evaluation-67515d973f63bfd451ebdc30 | toloka/u-math |
toloka/u-math-and-math-university-level-math-evaluation-67515d973f63bfd451ebdc30 | toloka/mu-math |
CohereForAI/multilingual-llm-evaluation-674ebf8e49e5af2efe021c8d | CohereForAI/Global-MMLU |
CohereForAI/multilingual-llm-evaluation-674ebf8e49e5af2efe021c8d | CohereForAI/Global-MMLU-Lite |
CohereForAI/multilingual-llm-evaluation-674ebf8e49e5af2efe021c8d | CohereForAI/include-base-44 |
CohereForAI/multilingual-llm-evaluation-674ebf8e49e5af2efe021c8d | CohereForAI/include-lite-44 |
CohereForAI/multilingual-llm-evaluation-674ebf8e49e5af2efe021c8d | C4AI-Community/multilingual-reward-bench |
CohereForAI/multilingual-llm-evaluation-674ebf8e49e5af2efe021c8d | CohereForAI/aya_redteaming |
meta-llama/metas-llama-32-language-models-and-evals-675bfd70e574a62dd0e40586 | meta-llama/Llama-3.2-3B-evals |
meta-llama/metas-llama-32-language-models-and-evals-675bfd70e574a62dd0e40586 | meta-llama/Llama-3.2-1B-evals |
meta-llama/metas-llama-32-language-models-and-evals-675bfd70e574a62dd0e40586 | meta-llama/Llama-3.2-3B-Instruct-evals |
meta-llama/metas-llama-32-language-models-and-evals-675bfd70e574a62dd0e40586 | meta-llama/Llama-3.2-1B-Instruct-evals |
amazon/chronos-models-and-datasets-65f1791d630a8d57cb718444 | autogluon/chronos_datasets |
amazon/chronos-models-and-datasets-65f1791d630a8d57cb718444 | autogluon/chronos_datasets_extra |
meryembarkallah21/pokemon-image-classification-6757b9d904f492c2d7d49b32 | meryembarkallah21/The_pokemon_Dataset |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | DDSC/angry-tweets |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | DDSC/europarl |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | DDSC/lcc |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | strombergnlp/bajer_danish_misogyny |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | DDSC/dkhate |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | alexandrainst/ddisco |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | chcaa/dansk-ner |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | alexandrainst/dane |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | KennethEnevoldsen/dane_plus |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | alexandrainst/nordjylland-news-summarization |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | strombergnlp/dkstance |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | strombergnlp/polstance |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | strombergnlp/danfever |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | danish-foundation-models/danish-gigaword |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | DDSC/reddit-da |
danish-foundation-models/danish-text-datasets-675e4f14e4d6d0e8208719e1 | alexandrainst/domsdatabasen |
meta-llama/llama-33-evals-67531d93d821945e2ed5060e | meta-llama/Llama-3.3-70B-Instruct-evals |
sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552 | sentence-transformers/gooaq |
sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552 | sentence-transformers/yahoo-answers |
sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552 | sentence-transformers/msmarco-msmarco-distilbert-base-tas-b |
sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552 | sentence-transformers/msmarco-msmarco-distilbert-base-v3 |
sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552 | sentence-transformers/msmarco-msmarco-MiniLM-L-6-v3 |
sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552 | sentence-transformers/msmarco-distilbert-margin-mse-cls-dot-v2 |
sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552 | sentence-transformers/msmarco-distilbert-margin-mse-cls-dot-v1 |
sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552 | sentence-transformers/msmarco-distilbert-margin-mse-mean-dot-v1 |
sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552 | sentence-transformers/msmarco-mpnet-margin-mse-mean-v1 |
sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552 | sentence-transformers/msmarco-co-condenser-margin-mse-cls-v1 |
sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552 | sentence-transformers/msmarco-distilbert-margin-mse-mnrl-mean-v1 |
End of preview.
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