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mair-floating-point-vs-quantized-benchmarks

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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 12 new columns ({'Moorcheh Distance Only', 'Search_Server_Mean_ms', 'Qdrant', 'Moorcheh All', 'Search_Mean_ms', 'Pinecone (Search + Rerank)', 'Rerank_Mean_ms', 'Elasticsearch', 'Cohere (Rerank)', 'Provider', 'Pinecone (Search)', 'PGVector'}) and 5 missing columns ({'PGVector - Vector (Floating-Point)', 'Pinecone with Cohere - Vector (Floating-Point)', 'Qdrant - Vector (Floating-Point)', 'Elasticsearch - Vector (Floating-Point)', 'Moorcheh - Vector (Quantized)'}).

This happened while the csv dataset builder was generating data using

hf://datasets/moorcheh/mair-floating-point-vs-quantized-benchmarks/latency_vector_fp.csv (at revision d89003f1f9a5726a26414a586652b889c8ed8182)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
              Dataset: string
              Category: string
              Dataset Size: int64
              Provider: string
              Search_Server_Mean_ms: double
              Search_Mean_ms: double
              Rerank_Mean_ms: double
              Moorcheh Distance Only: double
              Elasticsearch: double
              PGVector: double
              Qdrant: double
              Moorcheh All: double
              Pinecone (Search + Rerank): double
              Pinecone (Search): double
              Cohere (Rerank): double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2174
              to
              {'Dataset': Value('string'), 'Category': Value('string'), 'Dataset Size': Value('int64'), 'Moorcheh - Vector (Quantized)': Value('float64'), 'Elasticsearch - Vector (Floating-Point)': Value('float64'), 'Pinecone with Cohere - Vector (Floating-Point)': Value('float64'), 'PGVector - Vector (Floating-Point)': Value('float64'), 'Qdrant - Vector (Floating-Point)': 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 1339, 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 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 12 new columns ({'Moorcheh Distance Only', 'Search_Server_Mean_ms', 'Qdrant', 'Moorcheh All', 'Search_Mean_ms', 'Pinecone (Search + Rerank)', 'Rerank_Mean_ms', 'Elasticsearch', 'Cohere (Rerank)', 'Provider', 'Pinecone (Search)', 'PGVector'}) and 5 missing columns ({'PGVector - Vector (Floating-Point)', 'Pinecone with Cohere - Vector (Floating-Point)', 'Qdrant - Vector (Floating-Point)', 'Elasticsearch - Vector (Floating-Point)', 'Moorcheh - Vector (Quantized)'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/moorcheh/mair-floating-point-vs-quantized-benchmarks/latency_vector_fp.csv (at revision d89003f1f9a5726a26414a586652b889c8ed8182)
              
              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)