2c77c532b9d28e4431c9e52e7965321a188d68af,tensorflow_datasets/scripts/document_datasets.py,,dataset_docs_str,#Any#,340

Before Change

  module_to_builder = make_module_to_builder_dict(datasets)

  sections = sorted(list(module_to_builder.keys()))
  section_tocs = []
  section_docs = []
  for section in sections:
    builders = tf.nest.flatten(module_to_builder[section])
    builders = sorted(builders, key=lambda b: b.name)
    builder_docs = [document_single_builder(builder) for builder in builders]
    section_doc = SECTION_DATASETS.format(
        section_name=section, datasets="\n".join(builder_docs))
    section_toc = create_section_toc(section, builders)


    section_docs.append(section_doc)
    section_tocs.append(section_toc)

  full_doc = DOC.format(toc="\n".join(section_tocs),
                        datasets="\n".join(section_docs))
  return full_doc


SCHEMA_ORG_PRE = \
<div itemscope itemtype="http://schema.org/Dataset">

After Change

  module_to_builder = make_module_to_builder_dict(datasets)
  sections = sorted(list(module_to_builder.keys()))
  section_docs = collections.defaultdict(list)

  for section in sections:
    builders = tf.nest.flatten(module_to_builder[section])
    builders = sorted(builders, key=lambda b: b.name)
    builder_docs = [
        (builder.name, document_single_builder(builder)) for builder in builders
    ]
    section_docs[section.capitalize()] = builder_docs
  return [DOC, section_docs]


SCHEMA_ORG_PRE = \
<div itemscope itemtype="http://schema.org/Dataset">

Instances