Datasets:
dbiton
/
EthereumStatistics

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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 5 new columns ({'mean_call_count_leaves_smart_contract', 'mean_call_height_smart_contract', 'mean_call_degree_smart_contract', 'mean_call_count_smart_contract', 'count_txs_value_transfer'})

This happened while the csv dataset builder was generating data using

hf://datasets/dbiton/EthereumStatistics/metrics_callTracer_conflict_graph.csv (at revision d6f1ff4c03ea665da5f238253b46cdc84b1fd772)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              mean_call_count_smart_contract: double
              mean_call_height_smart_contract: double
              mean_call_degree_smart_contract: double
              mean_call_count_leaves_smart_contract: double
              count_txs_value_transfer: int64
              degree: double
              greedy_color: int64
              assortativity: double
              cluster_coe: double
              modularity: double
              transitivity: double
              diameter: double
              clique_number: int64
              density: double
              largest_conn_comp: int64
              longest_path_length_monte_carlo: int64
              max_degree: int64
              vertex_cover_pop_max_deg_approx: int64
              vertex_cover_dummy_approx: double
              vertex_cover_nx_approx: int64
              block_number: int64
              txs: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3237
              to
              {'degree': Value('float64'), 'greedy_color': Value('int64'), 'assortativity': Value('float64'), 'cluster_coe': Value('float64'), 'modularity': Value('float64'), 'transitivity': Value('float64'), 'diameter': Value('float64'), 'clique_number': Value('int64'), 'density': Value('float64'), 'largest_conn_comp': Value('int64'), 'longest_path_length_monte_carlo': Value('int64'), 'max_degree': Value('int64'), 'vertex_cover_pop_max_deg_approx': Value('int64'), 'vertex_cover_dummy_approx': Value('float64'), 'vertex_cover_nx_approx': Value('int64'), 'block_number': Value('int64'), 'txs': 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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 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 5 new columns ({'mean_call_count_leaves_smart_contract', 'mean_call_height_smart_contract', 'mean_call_degree_smart_contract', 'mean_call_count_smart_contract', 'count_txs_value_transfer'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/dbiton/EthereumStatistics/metrics_callTracer_conflict_graph.csv (at revision d6f1ff4c03ea665da5f238253b46cdc84b1fd772)
              
              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.

degree
float64
greedy_color
int64
assortativity
float64
cluster_coe
float64
modularity
float64
transitivity
float64
diameter
float64
clique_number
int64
density
float64
largest_conn_comp
int64
longest_path_length_monte_carlo
int64
max_degree
int64
vertex_cover_pop_max_deg_approx
int64
vertex_cover_dummy_approx
float64
vertex_cover_nx_approx
int64
block_number
int64
txs
int64
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End of preview.