RAG over Thinking Traces Can Improve Reasoning Tasks
Paper • 2605.03344 • Published
Datasets:
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
question: string
trace: string
transformed_traces: list<element: string>
child 0, element: string
-- schema metadata --
huggingface: '{"info": {"features": {"question": {"dtype": "string", "_ty' + 155
to
{'question': Value('string'), 'trace': Value('string'), 'passages': List(Value('string'))}
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/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
question: string
trace: string
transformed_traces: list<element: string>
child 0, element: string
-- schema metadata --
huggingface: '{"info": {"features": {"question": {"dtype": "string", "_ty' + 155
to
{'question': Value('string'), 'trace': Value('string'), 'passages': List(Value('string'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
T3: Transformation of Thinking Traces (QwQ-32B)
This dataset contains T3-transformed thinking traces (Structural Normalization) derived from the QwQ-32B model, as introduced in the paper RAG over Thinking Traces Can Improve Reasoning Tasks.
Retrieval-augmented generation (RAG) is traditionally believed to offer limited benefit for reasoning-intensive tasks like math and code. This work challenges that assumption by showing that retrieving thinking traces—intermediate reasoning trajectories from strong models—consistently improves performance across frontier models and benchmarks. T3 is an offline method that transforms raw traces into structured, retrieval-friendly representations.
Links
- Paper: RAG over Thinking Traces Can Improve Reasoning Tasks
- GitHub Repository: https://github.com/Narabzad/t3
Sample Usage
You can load this dataset using the Hugging Face datasets library:
from datasets import load_dataset
# Load the T3-transformed passages
ds = load_dataset("narabzad/t3-struct-qwq32b")
# Columns: question, trace, passages (list)
Citation
@article{arabzadeh2026rag,
title={RAG over Thinking Traces Can Improve Reasoning Tasks},
author={Arabzadeh, Negar and Ma, Wenjie and Min, Sewon and Zaharia, Matei},
journal={arXiv preprint arXiv:2605.03344},
year={2026}
}
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