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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
ID: string
conversation: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
input: string
output: string
domain: string
meta: struct<seed_id: string, prompt_hash: string, manifest_index: int64, schedule_block: int64, schedule_ (... 1791 chars omitted)
  child 0, seed_id: string
  child 1, prompt_hash: string
  child 2, manifest_index: int64
  child 3, schedule_block: int64
  child 4, schedule_position: int64
  child 5, bucket: string
  child 6, task_domain: string
  child 7, specialized_domain: string
  child 8, language: string
  child 9, task_type: string
  child 10, source_dataset: string
  child 11, source_config: string
  child 12, source_split: string
  child 13, source_index: int64
  child 14, source_row_id: string
  child 15, source_metadata: struct<raw_index: string, index: string, discarded_existing_solution: bool, seed_code_included: bool (... 796 chars omitted)
      child 0, raw_index: string
      child 1, index: string
      child 2, discarded_existing_solution: bool
      child 3, seed_code_included: bool
      child 4, original_domain: string
      child 5, original_meta: struct<input_tokens: int64, output_tokens: int64, teacher_model: string>
          child 0, input_tokens: int64
          child 1, output_tokens: int64
          child 2, teacher_model: string
      child 6, discarded_existing_output: bool
      child 7, discarded_existing_convers
...
wer>: int64, <final>: int64, </answer>: int64, </final>: int64>
          child 0, <answer>: int64
          child 1, <final>: int64
          child 2, </answer>: int64
          child 3, </final>: int64
      child 6, source_output_sha256: string
format: string
shuffled: bool
complete: bool
total_records: int64
filtered: bool
source_revision: string
target_part_bytes: int64
seed: int64
source_repository: string
configs: list<item: struct<config: string, records: int64, source_files: list<item: struct<path: string, byte (... 151 chars omitted)
  child 0, item: struct<config: string, records: int64, source_files: list<item: struct<path: string, bytes: int64, s (... 139 chars omitted)
      child 0, config: string
      child 1, records: int64
      child 2, source_files: list<item: struct<path: string, bytes: int64, sha256: string, records: int64>>
          child 0, item: struct<path: string, bytes: int64, sha256: string, records: int64>
              child 0, path: string
              child 1, bytes: int64
              child 2, sha256: string
              child 3, records: int64
      child 3, input_bytes: int64
      child 4, parts: list<item: struct<path: string, bytes: int64, sha256: string, records: int64>>
          child 0, item: struct<path: string, bytes: int64, sha256: string, records: int64>
              child 0, path: string
              child 1, bytes: int64
              child 2, sha256: string
              child 3, records: int64
verified_revision: string
to
{'format': Value('string'), 'complete': Value('bool'), 'source_repository': Value('string'), 'source_revision': Value('string'), 'seed': Value('int64'), 'target_part_bytes': Value('int64'), 'shuffled': Value('bool'), 'filtered': Value('bool'), 'configs': List({'config': Value('string'), 'records': Value('int64'), 'source_files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'records': Value('int64')}), 'input_bytes': Value('int64'), 'parts': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'records': Value('int64')})}), 'total_records': Value('int64'), 'verified_revision': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              ID: string
              conversation: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              input: string
              output: string
              domain: string
              meta: struct<seed_id: string, prompt_hash: string, manifest_index: int64, schedule_block: int64, schedule_ (... 1791 chars omitted)
                child 0, seed_id: string
                child 1, prompt_hash: string
                child 2, manifest_index: int64
                child 3, schedule_block: int64
                child 4, schedule_position: int64
                child 5, bucket: string
                child 6, task_domain: string
                child 7, specialized_domain: string
                child 8, language: string
                child 9, task_type: string
                child 10, source_dataset: string
                child 11, source_config: string
                child 12, source_split: string
                child 13, source_index: int64
                child 14, source_row_id: string
                child 15, source_metadata: struct<raw_index: string, index: string, discarded_existing_solution: bool, seed_code_included: bool (... 796 chars omitted)
                    child 0, raw_index: string
                    child 1, index: string
                    child 2, discarded_existing_solution: bool
                    child 3, seed_code_included: bool
                    child 4, original_domain: string
                    child 5, original_meta: struct<input_tokens: int64, output_tokens: int64, teacher_model: string>
                        child 0, input_tokens: int64
                        child 1, output_tokens: int64
                        child 2, teacher_model: string
                    child 6, discarded_existing_output: bool
                    child 7, discarded_existing_convers
              ...
              wer>: int64, <final>: int64, </answer>: int64, </final>: int64>
                        child 0, <answer>: int64
                        child 1, <final>: int64
                        child 2, </answer>: int64
                        child 3, </final>: int64
                    child 6, source_output_sha256: string
              format: string
              shuffled: bool
              complete: bool
              total_records: int64
              filtered: bool
              source_revision: string
              target_part_bytes: int64
              seed: int64
              source_repository: string
              configs: list<item: struct<config: string, records: int64, source_files: list<item: struct<path: string, byte (... 151 chars omitted)
                child 0, item: struct<config: string, records: int64, source_files: list<item: struct<path: string, bytes: int64, s (... 139 chars omitted)
                    child 0, config: string
                    child 1, records: int64
                    child 2, source_files: list<item: struct<path: string, bytes: int64, sha256: string, records: int64>>
                        child 0, item: struct<path: string, bytes: int64, sha256: string, records: int64>
                            child 0, path: string
                            child 1, bytes: int64
                            child 2, sha256: string
                            child 3, records: int64
                    child 3, input_bytes: int64
                    child 4, parts: list<item: struct<path: string, bytes: int64, sha256: string, records: int64>>
                        child 0, item: struct<path: string, bytes: int64, sha256: string, records: int64>
                            child 0, path: string
                            child 1, bytes: int64
                            child 2, sha256: string
                            child 3, records: int64
              verified_revision: string
              to
              {'format': Value('string'), 'complete': Value('bool'), 'source_repository': Value('string'), 'source_revision': Value('string'), 'seed': Value('int64'), 'target_part_bytes': Value('int64'), 'shuffled': Value('bool'), 'filtered': Value('bool'), 'configs': List({'config': Value('string'), 'records': Value('int64'), 'source_files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'records': Value('int64')}), 'input_bytes': Value('int64'), 'parts': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'records': Value('int64')})}), 'total_records': Value('int64'), 'verified_revision': Value('string')}
              because column names don't match

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Kimi-K2.7-CodingTraces-Sharded

Shuffled ~100 MB shards of trjxter/Kimi-K2.7-CodingTraces-9000x.

Source: trjxter/Kimi-K2.7-CodingTraces-9000x at revision 4adee21584f9e0f0b158eb662edb5374ce741fbb. Records are shuffled with seed 20260925 and split into ~100 MB parts; see MANIFEST.json for per-part hashes and record counts. Storage preparation only: no filtering or content change beyond the re-serialization noted above. Do not ingest until MANIFEST.json reports complete: true.

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