Datasets:

---

Neon-tech

/

Rena

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
steps: int64
total_steps: int64
total_tokens_seen: int64
loss: double
trained: bool
to
{'step': Value('int64'), 'train_loss': Value('float64'), 'val_loss': Value('float64'), 'lr': Value('float64'), 'tokens': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 764, in write_table
                  self.write_rows_on_file()  # in case there are buffered rows to write first
                  ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              steps: int64
              total_steps: int64
              total_tokens_seen: int64
              loss: double
              trained: bool
              to
              {'step': Value('int64'), 'train_loss': Value('float64'), 'val_loss': Value('float64'), 'lr': 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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, 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 ({'loss', 'trained', 'total_steps', 'total_tokens_seen', 'steps'}) and 5 missing columns ({'tokens', 'lr', 'train_loss', 'val_loss', 'step'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Neon-tech/Rena/RENA-1/loss_history.json (at revision 9c434fbbf10fd8f9c3341057216d3105e06bfd7c), [/tmp/hf-datasets-cache/medium/datasets/35832899933468-config-parquet-and-info-Neon-tech-Rena-26591745/hub/datasets--Neon-tech--Rena/snapshots/9c434fbbf10fd8f9c3341057216d3105e06bfd7c/RENA-1-SFT/loss_history.json (origin=hf://datasets/Neon-tech/Rena@9c434fbbf10fd8f9c3341057216d3105e06bfd7c/RENA-1-SFT/loss_history.json), /tmp/hf-datasets-cache/medium/datasets/35832899933468-config-parquet-and-info-Neon-tech-Rena-26591745/hub/datasets--Neon-tech--Rena/snapshots/9c434fbbf10fd8f9c3341057216d3105e06bfd7c/RENA-1-SFT/meta.json (origin=hf://datasets/Neon-tech/Rena@9c434fbbf10fd8f9c3341057216d3105e06bfd7c/RENA-1-SFT/meta.json), /tmp/hf-datasets-cache/medium/datasets/35832899933468-config-parquet-and-info-Neon-tech-Rena-26591745/hub/datasets--Neon-tech--Rena/snapshots/9c434fbbf10fd8f9c3341057216d3105e06bfd7c/RENA-1/loss_history.json (origin=hf://datasets/Neon-tech/Rena@9c434fbbf10fd8f9c3341057216d3105e06bfd7c/RENA-1/loss_history.json), /tmp/hf-datasets-cache/medium/datasets/35832899933468-config-parquet-and-info-Neon-tech-Rena-26591745/hub/datasets--Neon-tech--Rena/snapshots/9c434fbbf10fd8f9c3341057216d3105e06bfd7c/RENA-1/meta.json (origin=hf://datasets/Neon-tech/Rena@9c434fbbf10fd8f9c3341057216d3105e06bfd7c/RENA-1/meta.json)], ['hf://datasets/Neon-tech/Rena@9c434fbbf10fd8f9c3341057216d3105e06bfd7c/RENA-1-SFT/loss_history.json', 'hf://datasets/Neon-tech/Rena@9c434fbbf10fd8f9c3341057216d3105e06bfd7c/RENA-1-SFT/meta.json', 'hf://datasets/Neon-tech/Rena@9c434fbbf10fd8f9c3341057216d3105e06bfd7c/RENA-1/loss_history.json', 'hf://datasets/Neon-tech/Rena@9c434fbbf10fd8f9c3341057216d3105e06bfd7c/RENA-1/meta.json']
              
              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)
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              steps: int64
              total_steps: int64
              total_tokens_seen: int64
              loss: double
              trained: bool
              to
              {'step': Value('int64'), 'train_loss': Value('float64'), 'val_loss': Value('float64'), 'lr': Value('float64'), 'tokens': Value('int64')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset