Fire sprinkler and alarm inspection reports with deficiencies, 11 firms

Summary

Inspection, testing and maintenance reports from 11 US fire protection contractors, covering sprinkler, standpipe, fire pump, backflow and fire alarm systems in commercial buildings. Each report lists the components inspected, the deficiencies found with the standard the inspector cited, and whether a repair followed, which suits structured extraction and compliance reasoning. Building names, addresses, access codes and contacts are replaced with placeholders.

Collected to order. We collect it from US companies for your order. Scope, volume and timing are confirmed in writing before you sign.

Pricing on request

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At a glance

  • Planned scope. Volume, sources and timing are confirmed in writing before you sign.
Records
3.3Minspection reports, repair jobs and emails
Size
10.3 GB
Tokens, estimated
1.3B
Years
2016 to 2026
Firms
11
Owner profile
11 US fire protection contractors with inspection and service divisions, 14 to 160 staff each, Northeast, Mid-Atlantic and Ohio Valley
Industry
Field services
Data type
Field operations
Headcount
14 to 160 staff per firm
Region
United States (Northeast, Mid-Atlantic, Ohio Valley)
Languages
English
Formats
JSONL, Parquet
Updated

Sources

SystemKindRecords
ServiceTitan inspection forms (2020 onward)Field operations548K inspection reports
ServiceTitan deficiency repair jobsField operations212K repair jobs
Shared drives (inspection reports, 2016 to 2020)Shared files377K inspection reports
Microsoft 365 mailEmail2.2M messages

Good for

  • extracting structured deficiency lists from free-text inspection reports
  • evaluating whether a cited standard matches the finding it is attached to
  • training agents that turn deficiencies into repair proposals and follow-up schedules
  • measuring how often deficiencies recur across annual inspections of the same system

Fields

FieldTypeDescription
report_idstringUnique report id within the pool
firm_codestringPlaceholder for the contractor
building_idstringPlaceholder for the building, stable across years
system_typeenumwet_sprinkler, dry_sprinkler, standpipe, fire_pump, backflow or fire_alarm
inspection_frequencyenummonthly, quarterly, semiannual, annual or five_year
inspected_ontimestampInspection start time
standard_citedstringStandard and edition named on the report
deficienciesarray<object>Component, finding, reference and severity for each deficiency
repair_statusenumrepaired, proposed, declined or open, from the linked repair job

Example record

{
  "report_id": "FP11-INS-0663018",
  "firm_code": "[COMPANY_5]",
  "building_id": "[SITE_1420]",
  "system_type": "dry_sprinkler",
  "inspection_frequency": "annual",
  "inspected_on": "2024-11-20T10:30:00-05:00",
  "standard_cited": "NFPA 25, 2020 edition",
  "deficiencies": [
    {
      "component": "Dry pipe valve",
      "finding": "Full trip test, 74 s to water at inspector test connection, over the 60 s design limit",
      "reference": "NFPA 25 ch 13",
      "severity": "impairment"
    },
    {
      "component": "Sprinklers, loading dock",
      "finding": "4 upright heads corroded, 1 painted",
      "reference": "NFPA 25 ch 5",
      "severity": "deficiency"
    }
  ],
  "repair_status": "repaired"
}
One record, de-identified. Placeholders such as [PERSON_12] and [COMPANY_4] stay the same across the whole dataset, so threads still read correctly.

Licenses available

  • Exclusive

    One buyer. Nobody else can license it during the exclusive term, usually 2 years.

  • Non-exclusive

    Licensed to more than one buyer.

  • First look

    One buyer gets 2 to 4 weeks to make an offer before anyone else sees the dataset.

What ships with it

  • Datasheet: what it is, what it is good for, verified size, sources, years, format and limits.
  • Provenance file: the owner shown by code, staff notice and consent status, exclusions, mapped to the EU AI Act Article 53 training-data summary and California AB 2013.
  • Manifest with a hash for every file.
  • QC report and de-identification report.
  • Your own copy, with unique canary records.

How it is de-identified

Default exclusions removed, files flattened to text, identifiers found in three layers and replaced with consistent placeholders, and the result measured against a 99% bar for each identifier type in each source.

The full method

Request scope and pricing

We confirm scope, volume and timing in writing before you sign. Samples go out under evaluation terms after a short buyer check, once the first records are in.

Dataset: NK-28174

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