Datasets:

armand0e
/

qwen37-pi-qwen36-27b-topk40-logprobs

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
enable_thinking: bool
examples: int64
filter_counts: struct<dropped_over_max_length: int64, dropped_render_error: int64, dropped_too_few_target_tokens: i (... 57 chars omitted)
  child 0, dropped_over_max_length: int64
  child 1, dropped_render_error: int64
  child 2, dropped_too_few_target_tokens: int64
  child 3, dropped_too_many_target_tokens: int64
  child 4, kept: int64
format: string
kept_rows: int64
loaded_rows: int64
max_length: int64
max_target_tokens: int64
min_target_tokens: int64
preserve_thinking: bool
processed_rows: int64
row_source: string
shards: list<item: struct<count: int64, file: string>>
  child 0, item: struct<count: int64, file: string>
      child 0, count: int64
      child 1, file: string
skipped_no_shift_targets: int64
student_tokenizer_id: string
teacher_forward_chunk_tokens: int64
teacher_model_id: string
teacher_quantization: null
teacher_value_type: string
top_k: int64
total_target_positions: int64
to
{'processed_rows': Value('int64'), 'shards': List({'count': Value('int64'), 'file': Value('string')}), 'skipped_no_shift_targets': Value('int64'), 'total_target_positions': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, 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 130, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              enable_thinking: bool
              examples: int64
              filter_counts: struct<dropped_over_max_length: int64, dropped_render_error: int64, dropped_too_few_target_tokens: i (... 57 chars omitted)
                child 0, dropped_over_max_length: int64
                child 1, dropped_render_error: int64
                child 2, dropped_too_few_target_tokens: int64
                child 3, dropped_too_many_target_tokens: int64
                child 4, kept: int64
              format: string
              kept_rows: int64
              loaded_rows: int64
              max_length: int64
              max_target_tokens: int64
              min_target_tokens: int64
              preserve_thinking: bool
              processed_rows: int64
              row_source: string
              shards: list<item: struct<count: int64, file: string>>
                child 0, item: struct<count: int64, file: string>
                    child 0, count: int64
                    child 1, file: string
              skipped_no_shift_targets: int64
              student_tokenizer_id: string
              teacher_forward_chunk_tokens: int64
              teacher_model_id: string
              teacher_quantization: null
              teacher_value_type: string
              top_k: int64
              total_target_positions: int64
              to
              {'processed_rows': Value('int64'), 'shards': List({'count': Value('int64'), 'file': Value('string')}), 'skipped_no_shift_targets': Value('int64'), 'total_target_positions': Value('int64')}
              because column names don't match

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Qwen3.7 Pi Trace Top-40 Teacher Logprobs

Offline top-40 teacher logprobs for cumulative assistant-turn rows from armand0e/qwen3.7-max-split-formatted.

These files are intended to be loaded with snapshot_download, not datasets.load_dataset.

manifest.json: shard metadata and filtering counts
shard-*.pt: tokenized examples with labels, target positions, top-k token ids, and top-k teacher logprobs
chat_template.jinja: the exact chat template used for tokenization

Summary

Source rows: armand0e/qwen3.7-max-split-formatted/default:train
Teacher: Qwen/Qwen3.6-27B
Student tokenizer: Qwen/Qwen3.5-9B
Kept rows: 699 of 1,485
Examples: 699
Target positions: 795,348
Max length: 32,768
Max target tokens: 8192
Value type: full-vocabulary logprobs for the selected top-k tokens

The training loss should apply CE to recorded labels and KL against the stored teacher top-k distribution only at target_positions.

Downloads last month: 971

Total file size:

269 MB

Qwen3.7 Pi Trace Top-40 Teacher Logprobs

Contents

Summary