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dfm10-code-meta-reasoning-repaired

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
rows: int64
valid: bool
condition: string
messages: list<item: struct<content: string, role: string>>
  child 0, item: struct<content: string, role: string>
      child 0, content: string
      child 1, role: string
source: struct<export_dataset: string, source_file: string, source_row: int64, upstream: list<item: string>>
  child 0, export_dataset: string
  child 1, source_file: string
  child 2, source_row: int64
  child 3, upstream: list<item: string>
      child 0, item: string
to
{'condition': Value('string'), 'messages': List({'content': Value('string'), 'role': Value('string')}), 'source': {'export_dataset': Value('string'), 'source_file': Value('string'), 'source_row': Value('int64'), 'upstream': List(Value('string'))}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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
              rows: int64
              valid: bool
              condition: string
              messages: list<item: struct<content: string, role: string>>
                child 0, item: struct<content: string, role: string>
                    child 0, content: string
                    child 1, role: string
              source: struct<export_dataset: string, source_file: string, source_row: int64, upstream: list<item: string>>
                child 0, export_dataset: string
                child 1, source_file: string
                child 2, source_row: int64
                child 3, upstream: list<item: string>
                    child 0, item: string
              to
              {'condition': Value('string'), 'messages': List({'content': Value('string'), 'role': Value('string')}), 'source': {'export_dataset': Value('string'), 'source_file': Value('string'), 'source_row': Value('int64'), 'upstream': List(Value('string'))}}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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condition string	messages list	source dict
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nA state with $n$ flags of ON or OFF ca...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 1, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nOne hot summer day Pete and his friend...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 2, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nWe have a string s consisting of lower...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 3, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nForgotten languages (also known as ext...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 4, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nAn array of integers p_{1},p_{2}, …,p_...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 5, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nMost problems on CodeChef highlight ch...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 6, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nYou are given three integers n, d and ...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 7, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nWrite a program of the Selection Sort ...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 8, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nKitahara Haruki has bought n apples fo...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 9, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nLittle Arjit is in love with Deepa. Th...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 10, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nAlan threw a party and invited all her...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 11, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nEmuskald is addicted to Codeforces, an...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 12, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nThe princess is going to escape the dr...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 13, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nThere are n cows playing poker at a ta...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 14, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nIvan recently bought a detective book....	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 15, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nThe volume of access to a web service ...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 16, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nAn English booklet has been created fo...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 17, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nBear Limak likes watching sports on TV...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 18, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nProblem description.\nChef is playing ...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 19, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nproblem\n\nGiven two strings, find the...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 20, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nHow to make a cake you'll never eat.\n...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 21, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nExample\nInput\n\n2 1\n1 2 2\n\n\nOutp...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 22, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nSnuke has a string S consisting of thr...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 23, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nOn a history lesson the teacher asked ...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 24, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nYou might have remembered Theatre squa...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 25, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nMarut is now a well settled person. Im...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 26, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }
direct	[ { "content": "Analyze the coding problem and write a planning document. Explore plausible algorithmic approaches, compare their complexity and tradeoffs, select the best approach, and give a high-level implementation outline. Do not provide source code.\n\nCoding problem:\nMishka has got n empty boxes. For ever...	{ "export_dataset": "dfm10-code-meta-reasoning-repaired", "source_file": "train-00000-of-00036.parquet", "source_row": 27, "upstream": [ "allenai/code-meta-reasoning-filtered" ] }

End of preview.

dfm10-code-meta-reasoning-repaired

Structured code meta-reasoning tasks with explicit prompts and response contracts.

Format: gzip-compressed JSON Lines under data/train-*.jsonl.gz
Schema: chat messages, optional condition and tools, plus provenance
Shards: 2
Rows: 429,301
Category: Code reasoning

Upstream material

allenai/code-meta-reasoning-filtered

Processing

Empty prompts, unsafe families, and recursive or malformed tasks are removed.

Every packaged row is taken from the accepted source tree used by the final DFM10 build. Tokenized arrays and epoch sampling indices are not included.

License and release review

This package does not assert a new license over upstream material. Preserve the upstream licenses, notices, and attribution requirements. Review upstream terms and dataset-card attribution before upload.