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irpf-codex-build-kit

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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
profile_name: string
repo_id: string
repo_type: string
export_dir: string
vs
profile_name: string
ano_exercicio: int64
ano_calendario: int64
source_roots: list<item: string>
dashboard_json_name: string
consolidated_xlsx_name: string
build_report_name: string
taxpayers: list<item: struct<cpf: string, name: string>>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 604, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              profile_name: string
              repo_id: string
              repo_type: string
              export_dir: string
              vs
              profile_name: string
              ano_exercicio: int64
              ano_calendario: int64
              source_roots: list<item: string>
              dashboard_json_name: string
              consolidated_xlsx_name: string
              build_report_name: string
              taxpayers: list<item: struct<cpf: string, name: string>>

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

irpf-codex-build-kit

Reusable Hugging Face + Codex kit extracted from pro_05_irpf_creator.

Included

  • docs/HUGGINGFACE_CODEX_PUBLISHING_KIT.md
  • templates/IRPF_BUILD_MANIFEST.template.json
  • templates/HF_CODEX_KIT_PUBLISH_MANIFEST.template.json
  • snippets/
  • skills/hf-codex-publisher/SKILL.md

Purpose

This bundle standardizes how to:

  1. drive IRPF builds from versioned manifests
  2. apply objective quality gates
  3. package reusable docs/templates/snippets
  4. publish a clean, no-PII kit to the Hugging Face Hub

Source repository

  • local source: pro_05_irpf_creator
  • publish manifest: frontend_report/HF_CODEX_KIT_PUBLISH_MANIFEST.json

Notes

  • Generated fiscal artifacts are intentionally excluded.
  • Use the templates and snippets as the starting point for new lots and new repos.
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