Datasets:

---

ayushkumar7102

/

Mirage-Optimized-Subgraph-Runtime-Dataset

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 1 new columns ({'bgraph'})

This happened while the json dataset builder was generating data using

hf://datasets/ayushkumar7102/Mirage-Optimized-Subgraph-Runtime-Dataset/optimized_subgraphs/optimized_10079343343748654896.json (at revision e5b9b1892839884e3aa678cf3218962407bb228a)

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
              input_map: struct<x: int64, y: int64, z: int64>
                child 0, x: int64
                child 1, y: int64
                child 2, z: int64
              input_strides: list<item: int64>
                child 0, item: int64
              input_tensors: list<item: struct<data_type: int64, dim: list<item: int64>, guid: int64, layout: string, num_dims: i (... 6 chars omitted)
                child 0, item: struct<data_type: int64, dim: list<item: int64>, guid: int64, layout: string, num_dims: int64>
                    child 0, data_type: int64
                    child 1, dim: list<item: int64>
                        child 0, item: int64
                    child 2, guid: int64
                    child 3, layout: string
                    child 4, num_dims: int64
              op_type: string
              output_tensors: list<item: struct<data_type: int64, dim: list<item: int64>, guid: int64, layout: string, num_dims: i (... 6 chars omitted)
                child 0, item: struct<data_type: int64, dim: list<item: int64>, guid: int64, layout: string, num_dims: int64>
                    child 0, data_type: int64
                    child 1, dim: list<item: int64>
                        child 0, item: int64
                    child 2, guid: int64
                    child 3, layout: string
                    child 4, num_dims: int64
              bgraph: struct<block_dim: struct<x: int64, y: int64, z: int64>, forloop_range: int64, graph_level: string, g (... 686 chars omitted)
                child 0, block_dim: struct<x: int64, y: int64, z: int64>
                    child 0, x: int64
                    child 1, y: int64
                    child 2, z: int64
                child 1, forloop_range: int64
                child 2, graph_level: string
                child 3, grid_dim: struct<x: int64, y: int64, z: int64>
                    child 0, x: int64
                    child 1, y: int64
                    ch
              ...
                              child 1, data_type: int64
                                child 2, dim: list<item: int64>
                                    child 0, item: int64
                                child 3, guid: int64
                                child 4, layout: string
                                child 5, num_dims: int64
                                child 6, smem_offset: int64
                        child 4, op_type: string
                        child 5, output_map: struct<x: int64, y: int64, z: int64>
                            child 0, x: int64
                            child 1, y: int64
                            child 2, z: int64
                        child 6, output_tensors: list<item: struct<after_accum: bool, data_type: int64, dim: list<item: int64>, guid: int64, layout:  (... 45 chars omitted)
                            child 0, item: struct<after_accum: bool, data_type: int64, dim: list<item: int64>, guid: int64, layout: string, num (... 33 chars omitted)
                                child 0, after_accum: bool
                                child 1, data_type: int64
                                child 2, dim: list<item: int64>
                                    child 0, item: int64
                                child 3, guid: int64
                                child 4, layout: string
                                child 5, num_dims: int64
                                child 6, smem_offset: int64
                child 5, reduction_dimx: int64
                child 6, smem_offset: int64
              output_map: struct<x: int64, y: int64, z: int64>
                child 0, x: int64
                child 1, y: int64
                child 2, z: int64
              output_strides: list<item: int64>
                child 0, item: int64
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1071
              to
              {'input_map': {'x': Value('int64'), 'y': Value('int64'), 'z': Value('int64')}, 'input_strides': List(Value('int64')), 'input_tensors': List({'data_type': Value('int64'), 'dim': List(Value('int64')), 'guid': Value('int64'), 'layout': Value('string'), 'num_dims': Value('int64')}), 'op_type': Value('string'), 'output_tensors': List({'data_type': Value('int64'), 'dim': List(Value('int64')), 'guid': Value('int64'), 'layout': Value('string'), 'num_dims': Value('int64')}), 'output_map': {'x': Value('int64'), 'y': Value('int64'), 'z': Value('int64')}, 'output_strides': List(Value('int64'))}
              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 1455, 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 1054, 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 1 new columns ({'bgraph'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/ayushkumar7102/Mirage-Optimized-Subgraph-Runtime-Dataset/optimized_subgraphs/optimized_10079343343748654896.json (at revision e5b9b1892839884e3aa678cf3218962407bb228a)
              
              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)