Datasets:

---

icarus112

/

ce-checkpoints

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 20 new columns ({'mfu', 'mean_nll', 'w_skip_tri', 'merges', 'w_skip_bi', 'bits_per_token', 'w_trigram', 'chars', 'w_bigram', 'token_accuracy', 'w_neural_phoneme', 'tok_per_s_cumulative', 'w_neural_word', 'top5_accuracy', 'bpb', 'tok_per_s_interval', 'prequential_ppl', 'w_freq', 'vocab_size', 'flops_per_token'}) and 2 missing columns ({'running_ppl', 'ts'}).

This happened while the csv dataset builder was generating data using

hf://datasets/icarus112/ce-checkpoints/eval-logs/pivot_fast_1782715713.csv (at revision 0a015a718721ef966fe2e9f1795de73f813b475b), ['hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/killtest_1782692655.csv', 'hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/pivot_fast_1782715713.csv', 'hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/pivot_fast_1782718336.csv', 'hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/pivot_fast_1782728334.csv', 'hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/pivot_fineweb_1782696101.csv', 'hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/pivot_fineweb_1782701257.csv', 'hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/pivot_heldout_1782710967.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/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              elapsed_s: null
              phase: null
              docs: null
              tokens: null
              chars: null
              vocab_size: null
              merges: null
              tok_per_s_interval: null
              tok_per_s_cumulative: null
              prequential_ppl: null
              mean_nll: null
              bits_per_token: null
              bpb: null
              mfu: null
              flops_per_token: null
              token_accuracy: null
              top5_accuracy: null
              w_freq: null
              w_bigram: null
              w_trigram: null
              w_skip_bi: null
              w_skip_tri: null
              w_neural_phoneme: null
              w_neural_word: null
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3107
              to
              {'ts': Value('int64'), 'elapsed_s': Value('float64'), 'phase': Value('string'), 'docs': Value('int64'), 'running_ppl': Value('float64'), 'tokens': 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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 20 new columns ({'mfu', 'mean_nll', 'w_skip_tri', 'merges', 'w_skip_bi', 'bits_per_token', 'w_trigram', 'chars', 'w_bigram', 'token_accuracy', 'w_neural_phoneme', 'tok_per_s_cumulative', 'w_neural_word', 'top5_accuracy', 'bpb', 'tok_per_s_interval', 'prequential_ppl', 'w_freq', 'vocab_size', 'flops_per_token'}) and 2 missing columns ({'running_ppl', 'ts'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/icarus112/ce-checkpoints/eval-logs/pivot_fast_1782715713.csv (at revision 0a015a718721ef966fe2e9f1795de73f813b475b), ['hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/killtest_1782692655.csv', 'hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/pivot_fast_1782715713.csv', 'hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/pivot_fast_1782718336.csv', 'hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/pivot_fast_1782728334.csv', 'hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/pivot_fineweb_1782696101.csv', 'hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/pivot_fineweb_1782701257.csv', 'hf://datasets/icarus112/ce-checkpoints@0a015a718721ef966fe2e9f1795de73f813b475b/eval-logs/pivot_heldout_1782710967.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)