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YeMoKoo
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flamedata2

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
input_dir: string
selection_method: string
seed: int64
total_tokens: int64
total_documents: int64
train_tokens_target: int64
test_tokens_target: int64
required_tokens: int64
discarded_tokens_actual: int64
train: struct<output_prefix: string, manifest_path: string, tokens_actual: int64, documents_written: int64, (... 68 chars omitted)
  child 0, output_prefix: string
  child 1, manifest_path: string
  child 2, tokens_actual: int64
  child 3, documents_written: int64
  child 4, unique_source_documents: int64
  child 5, touched_shards: list<item: string>
      child 0, item: string
test: struct<output_prefix: string, manifest_path: string, tokens_actual: int64, documents_written: int64, (... 68 chars omitted)
  child 0, output_prefix: string
  child 1, manifest_path: string
  child 2, tokens_actual: int64
  child 3, documents_written: int64
  child 4, unique_source_documents: int64
  child 5, touched_shards: list<item: string>
      child 0, item: string
selection_summary: struct<seed: int64, selection_unit: string, permutation_documents_examined: int64, test_documents_se (... 336 chars omitted)
  child 0, seed: int64
  child 1, selection_unit: string
  child 2, permutation_documents_examined: int64
  child 3, test_documents_selected: int64
  child 4, train_documents_selected: int64
  child 5, test_tokens_actual: int64
  child 6, train_tokens_actual: int64
  child 7, test_tokens_overshoot: int64
  child 8, train_tokens_overshoot: int64
  child 9, train_tokens_shortfall: int64
  child 10, document_overlap_count: int64
  child 11, remaining_tokens_after_test: int64
  child 12, train_fill_target: int64
  child 13, consumed_tokens: int64
  child 14, discarded_tokens: int64
source_shards: list<item: struct<name: string, documents: int64, tokens: int64>>
  child 0, item: struct<name: string, documents: int64, tokens: int64>
      child 0, name: string
      child 1, documents: int64
      child 2, tokens: int64
source_global_doc_idx: int64
source_local_doc_idx: int64
source_shard_name: string
piece_tokens: int64
output_doc_idx: int64
token_end: int64
token_start: int64
split: string
source_doc_tokens: int64
to
{'split': Value('string'), 'output_doc_idx': Value('int64'), 'source_global_doc_idx': Value('int64'), 'source_shard_name': Value('string'), 'source_local_doc_idx': Value('int64'), 'source_doc_tokens': Value('int64'), 'token_start': Value('int64'), 'token_end': Value('int64'), 'piece_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 1872, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
                  for item in generator(*args, **kwargs):
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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_dir: string
              selection_method: string
              seed: int64
              total_tokens: int64
              total_documents: int64
              train_tokens_target: int64
              test_tokens_target: int64
              required_tokens: int64
              discarded_tokens_actual: int64
              train: struct<output_prefix: string, manifest_path: string, tokens_actual: int64, documents_written: int64, (... 68 chars omitted)
                child 0, output_prefix: string
                child 1, manifest_path: string
                child 2, tokens_actual: int64
                child 3, documents_written: int64
                child 4, unique_source_documents: int64
                child 5, touched_shards: list<item: string>
                    child 0, item: string
              test: struct<output_prefix: string, manifest_path: string, tokens_actual: int64, documents_written: int64, (... 68 chars omitted)
                child 0, output_prefix: string
                child 1, manifest_path: string
                child 2, tokens_actual: int64
                child 3, documents_written: int64
                child 4, unique_source_documents: int64
                child 5, touched_shards: list<item: string>
                    child 0, item: string
              selection_summary: struct<seed: int64, selection_unit: string, permutation_documents_examined: int64, test_documents_se (... 336 chars omitted)
                child 0, seed: int64
                child 1, selection_unit: string
                child 2, permutation_documents_examined: int64
                child 3, test_documents_selected: int64
                child 4, train_documents_selected: int64
                child 5, test_tokens_actual: int64
                child 6, train_tokens_actual: int64
                child 7, test_tokens_overshoot: int64
                child 8, train_tokens_overshoot: int64
                child 9, train_tokens_shortfall: int64
                child 10, document_overlap_count: int64
                child 11, remaining_tokens_after_test: int64
                child 12, train_fill_target: int64
                child 13, consumed_tokens: int64
                child 14, discarded_tokens: int64
              source_shards: list<item: struct<name: string, documents: int64, tokens: int64>>
                child 0, item: struct<name: string, documents: int64, tokens: int64>
                    child 0, name: string
                    child 1, documents: int64
                    child 2, tokens: int64
              source_global_doc_idx: int64
              source_local_doc_idx: int64
              source_shard_name: string
              piece_tokens: int64
              output_doc_idx: int64
              token_end: int64
              token_start: int64
              split: string
              source_doc_tokens: int64
              to
              {'split': Value('string'), 'output_doc_idx': Value('int64'), 'source_global_doc_idx': Value('int64'), 'source_shard_name': Value('string'), 'source_local_doc_idx': Value('int64'), 'source_doc_tokens': Value('int64'), 'token_start': Value('int64'), 'token_end': Value('int64'), 'piece_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 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1922, 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

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split
string
output_doc_idx
int64
source_global_doc_idx
int64
source_shard_name
string
source_local_doc_idx
int64
source_doc_tokens
int64
token_start
int64
token_end
int64
piece_tokens
int64
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End of preview.

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Check out the documentation for more information.

YeMoKoo/flamedata2

Random document-sampled Megatron indexed-dataset splits for FLAME-MoE.

Repository layout:

  • wiki/train
  • wiki/test
  • code/train
  • code/test

Notes:

  • Seed is fixed to 42.
  • Test documents are sampled first.
  • Train documents are sampled from the remaining documents only.
  • Documents are never split across train/test.
  • These are Megatron indexed-dataset artifacts (.bin / .idx), not parquet exports.
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Total file size:
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