Datasets:

collinear-ai
/

R1-Distill-SFT-Curated

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
problem: string
solution: string
source: string
R1-Distill-Qwen-32B: string
R1-Distill-Qwen-32B-messages: list<element: struct<content: string, role: string>>
  child 0, element: struct<content: string, role: string>
      child 0, content: string
      child 1, role: string
correctness: struct<C1: int64, C2: int64>
  child 0, C1: int64
  child 1, C2: int64
-- schema metadata --
huggingface: '{"info": {"features": {"problem": {"dtype": "string", "_typ' + 415
to
{'problem': Value(dtype='string', id=None), 'solution': Value(dtype='string', id=None), 'source': Value(dtype='string', id=None), 'R1-Distill-Qwen-32B': Value(dtype='string', id=None), 'R1-Distill-Qwen-32B-reannotated': [{'content': Value(dtype='string', id=None), 'role': Value(dtype='string', id=None)}], 'curator_inclusion': {'C1': Value(dtype='int64', id=None), 'C2': Value(dtype='int64', id=None)}}
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 197, 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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2266, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1879, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              problem: string
              solution: string
              source: string
              R1-Distill-Qwen-32B: string
              R1-Distill-Qwen-32B-messages: list<element: struct<content: string, role: string>>
                child 0, element: struct<content: string, role: string>
                    child 0, content: string
                    child 1, role: string
              correctness: struct<C1: int64, C2: int64>
                child 0, C1: int64
                child 1, C2: int64
              -- schema metadata --
              huggingface: '{"info": {"features": {"problem": {"dtype": "string", "_typ' + 415
              to
              {'problem': Value(dtype='string', id=None), 'solution': Value(dtype='string', id=None), 'source': Value(dtype='string', id=None), 'R1-Distill-Qwen-32B': Value(dtype='string', id=None), 'R1-Distill-Qwen-32B-reannotated': [{'content': Value(dtype='string', id=None), 'role': Value(dtype='string', id=None)}], 'curator_inclusion': {'C1': Value(dtype='int64', id=None), 'C2': Value(dtype='int64', id=None)}}
              because column names don't match

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R1-Distill-SFT-Curated Release

Associated blog post: to be added

Data Overview

This dataset consists of the NuminaMath samples from the ServiceNow-AI/R1-Distill-SFT dataset and has features problem, solution, source, R1-Distill-Qwen-32B, R1-Distill-Qwen-32B-messages, and correctness.

The problem, solution and source features are from the NuminaMath dataset and correspond to the problem statement, ground truth solution and problem source.

The R1-Distill-Qwen-32B feature contains the responses generated in response to the problem by the Qwen 32B model in the ServiceNow-AI/R1-Distill-SFT dataset, and the R1-Distill-Qwen-32B-messages feature is the response with chat formatting.

The correctness feature contains the judgments on correctness of the generated response by Collinear curators C1 and C2 as a json object where the values corresponding to the keys ‘C1’ and ‘C2’ are the curator predictions as to the correctness of the response.