| Summary: | We use the PyNeb 1.1.16 Python package to evaluate the atomic datasets available for the spectral modeling of [Fe <span style="font-variant: small-caps;">ii</span>] and [Fe <span style="font-variant: small-caps;">iii</span>], which list level energies, <i>A</i>-values, and effective collision strengths. Most datasets are reconstructed from the sources, and new ones are incorporated to be compared with observed and measured benchmarks. For [Fe <span style="font-variant: small-caps;">iii</span>], we arrive at conclusive results that allow us to select the default datasets, while for [Fe <span style="font-variant: small-caps;">ii</span>], the conspicuous temperature dependency on the collisional data becomes a deterrent. This dependency is mainly due to the singularly low critical density of the <inline-formula><math display="inline"><semantics><mrow><mn>3</mn><msup><mi mathvariant="normal">d</mi><mn>7</mn></msup><mspace width="4pt"></mspace><mi mathvariant="normal">a</mi><msup><mspace width="0.166667em"></mspace><mn>4</mn></msup><msub><mi mathvariant="normal">F</mi><mrow><mn>9</mn><mo>/</mo><mn>2</mn></mrow></msub></mrow></semantics></math></inline-formula> metastable level that strongly depends on both the radiative and collisional data, although the level populating by fluorescence pumping from the stellar continuum cannot be ruled out. A new version of PyNeb (1.1.17) is released containing the evaluated datasets.
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