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Genghan
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accrl-training-heavy

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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
blob_bytes: int64
blob_files: int64
definitions_attention_files: int64
notes: list<item: string>
  child 0, item: string
records_total: int64
sequence_counts: struct<1024: int64, 16384: int64, 2048: int64, 4096: int64, 512: int64, 8192: int64>
  child 0, 1024: int64
  child 1, 16384: int64
  child 2, 2048: int64
  child 3, 4096: int64
  child 4, 512: int64
  child 5, 8192: int64
source: string
workloads_attention_files: int64
to
{}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 506, in __iter__
                  yield from self.ex_iterable
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 398, in __iter__
                  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 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
              blob_bytes: int64
              blob_files: int64
              definitions_attention_files: int64
              notes: list<item: string>
                child 0, item: string
              records_total: int64
              sequence_counts: struct<1024: int64, 16384: int64, 2048: int64, 4096: int64, 512: int64, 8192: int64>
                child 0, 1024: int64
                child 1, 16384: int64
                child 2, 2048: int64
                child 3, 4096: int64
                child 4, 512: int64
                child 5, 8192: int64
              source: string
              workloads_attention_files: int64
              to
              {}
              because column names don't match

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AccRL training heavy attention workloads

This shard contains the non-4096 sequence-length attention workload records from accrl-training.

Included paths:

  • definitions/attention/*.json
  • workloads/attention/*.jsonl, filtered to sequence lengths other than 4096 (S or L)
  • blob/workloads/attention/**/*.safetensors, only files referenced by the filtered JSONL records

Records kept: 90

Records removed because sequence length was 4096: 18

Sequence counts: {512: 18, 1024: 18, 2048: 18, 8192: 18, 16384: 18}
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