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Datasets:
InspectorRoofing
/
roof-damage-negative-evidence

Tasks:
Image Classification
Tabular Classification
Languages:
English
Size:
n<1K
Tags:
roof-inspection
roof-damage
hail-damage
negative-evidence
documentation-quality
insurance-scope-review
License:
Dataset card Files
xet
 Community
Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
$schema: string
$id: string
title: string
type: string
required: list<item: string>
  child 0, item: string
properties: struct<record_id: struct<type: string, pattern: string>, label: struct<type: string, enum: list<item (... 499 chars omitted)
  child 0, record_id: struct<type: string, pattern: string>
      child 0, type: string
      child 1, pattern: string
  child 1, label: struct<type: string, enum: list<item: string>>
      child 0, type: string
      child 1, enum: list<item: string>
          child 0, item: string
  child 2, sub_label: struct<type: string, enum: list<item: string>>
      child 0, type: string
      child 1, enum: list<item: string>
          child 0, item: string
  child 3, roof_covering: struct<type: string, enum: list<item: string>>
      child 0, type: string
      child 1, enum: list<item: string>
          child 0, item: string
  child 4, roof_area: struct<type: string>
      child 0, type: string
  child 5, observation_summary: struct<type: string>
      child 0, type: string
  child 6, evidence_quality: struct<type: string, enum: list<item: string>>
      child 0, type: string
      child 1, enum: list<item: string>
          child 0, item: string
  child 7, media_type: struct<type: string, enum: list<item: string>>
      child 0, type: string
      child 1, enum: list<item: string>
          child 0, item: string
  child 8, privacy_status: struct<type: string, enum: list<item: string>>
      child 0, type: string
      child 1, enum: list<item: string>
          child 0, item: string
  child 9, review_recommendation: struct<type: string, enum: list<item: string>>
      child 0, type: string
      child 1, enum: list<item: string>
          child 0, item: string
  child 10, notes: struct<type: string>
      child 0, type: string
media_type: string
observation_summary: string
privacy_status: string
record_id: string
roof_area: string
roof_covering: string
evidence_quality: string
sub_label: string
label: string
notes: string
review_recommendation: string
to
{'record_id': Value('string'), 'label': Value('string'), 'sub_label': Value('string'), 'roof_covering': Value('string'), 'roof_area': Value('string'), 'observation_summary': Value('string'), 'evidence_quality': Value('string'), 'media_type': Value('string'), 'privacy_status': Value('string'), 'review_recommendation': Value('string'), 'notes': Value('string')}
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 272, 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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              $schema: string
              $id: string
              title: string
              type: string
              required: list<item: string>
                child 0, item: string
              properties: struct<record_id: struct<type: string, pattern: string>, label: struct<type: string, enum: list<item (... 499 chars omitted)
                child 0, record_id: struct<type: string, pattern: string>
                    child 0, type: string
                    child 1, pattern: string
                child 1, label: struct<type: string, enum: list<item: string>>
                    child 0, type: string
                    child 1, enum: list<item: string>
                        child 0, item: string
                child 2, sub_label: struct<type: string, enum: list<item: string>>
                    child 0, type: string
                    child 1, enum: list<item: string>
                        child 0, item: string
                child 3, roof_covering: struct<type: string, enum: list<item: string>>
                    child 0, type: string
                    child 1, enum: list<item: string>
                        child 0, item: string
                child 4, roof_area: struct<type: string>
                    child 0, type: string
                child 5, observation_summary: struct<type: string>
                    child 0, type: string
                child 6, evidence_quality: struct<type: string, enum: list<item: string>>
                    child 0, type: string
                    child 1, enum: list<item: string>
                        child 0, item: string
                child 7, media_type: struct<type: string, enum: list<item: string>>
                    child 0, type: string
                    child 1, enum: list<item: string>
                        child 0, item: string
                child 8, privacy_status: struct<type: string, enum: list<item: string>>
                    child 0, type: string
                    child 1, enum: list<item: string>
                        child 0, item: string
                child 9, review_recommendation: struct<type: string, enum: list<item: string>>
                    child 0, type: string
                    child 1, enum: list<item: string>
                        child 0, item: string
                child 10, notes: struct<type: string>
                    child 0, type: string
              media_type: string
              observation_summary: string
              privacy_status: string
              record_id: string
              roof_area: string
              roof_covering: string
              evidence_quality: string
              sub_label: string
              label: string
              notes: string
              review_recommendation: string
              to
              {'record_id': Value('string'), 'label': Value('string'), 'sub_label': Value('string'), 'roof_covering': Value('string'), 'roof_area': Value('string'), 'observation_summary': Value('string'), 'evidence_quality': Value('string'), 'media_type': Value('string'), 'privacy_status': Value('string'), 'review_recommendation': Value('string'), 'notes': Value('string')}
              because column names don't match

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Roof Damage Negative Evidence Dataset

This dataset structure documents examples where roof evidence suggests fake hail indicators, non-storm damage, poor documentation, insufficient evidence, or mixed/inconclusive conditions.

The initial public release should be a dataset shell: this dataset card, schema, CSV template, and JSONL examples. Add real images or videos only after privacy review.

Labels

  • fake_hail_indicator
  • non_storm_damage
  • poor_documentation
  • insufficient_evidence
  • mixed_or_inconclusive

Sub-Labels

  • mechanical_mark
  • wear_and_age
  • manufacturing_condition
  • installation_condition
  • maintenance_condition
  • missing_scale_reference
  • missing_overview_photo
  • unclear_date_context
  • unclear_location_context
  • requires_field_review
  • other

Data Files

  • template.csv: tabular starter dataset.
  • examples.jsonl: machine-readable examples.
  • ../../schemas/negative-evidence-record.schema.json: JSON Schema for each JSONL record.

Privacy Rules

Do not publish:

  • Homeowner names
  • Exact residential addresses
  • Claim numbers
  • Policy numbers
  • Faces, license plates, personal documents, or private reports
  • EXIF GPS metadata

Intended Use

  • Standardize roof evidence documentation.
  • Train or evaluate data processing workflows.
  • Explain what weak or insufficient documentation looks like.
  • Provide a transparent companion dataset for the RoofFile Protocol.

Not Intended For

  • Automatic claim denial.
  • Identification of homeowners, carriers, adjusters, or claimants.
  • Replacing field inspection or professional judgment.

Related Links

  • Website authority page: REPLACE_WITH_WEBSITE_AUTHORITY_PAGE
  • GitHub protocol repo: REPLACE_WITH_GITHUB_REPO_URL
  • Zenodo DOI: REPLACE_WITH_ZENODO_DOI_URL
  • OSF project: REPLACE_WITH_OSF_PROJECT_URL
  • ORCID: REPLACE_WITH_ORCID_URL
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