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Preview of SPDX 2.3 SBOM With Snippet Ranges
json
12.2 KB
Actual file preview for SPDX 2.3 SBOM With Snippet Ranges

SPDX 2.3 SBOM With Snippet Ranges

An SPDX 2.3 JSON SBOM that uses the snippet section to attribute a fictional vendored fragment inside a file to a different licence, with both byte-offset and line-number ranges. Every package, version, hash and licence is fictional: the tree describes nothing real.

File
JSON · Sbom
Use case
JSON parsingSchema validation+1· Conversion set
Preview of SPDX 3.0 Application SBOM (JSON-LD)
json
9.3 KB
Actual file preview for SPDX 3.0 Application SBOM (JSON-LD)

SPDX 3.0 Application SBOM (JSON-LD)

An SPDX 3.0 SBOM in JSON-LD (the element-graph model that replaced the 2.x document layout) describing the same fictional tree with software_Package elements and typed Relationship nodes. Every package, version, hash and licence is fictional: the tree describes nothing real.

File
JSON · Sbom
Use case
JSON parsingConversion testing+2· Conversion set
Preview of SPDX Container Image SBOM (Tag-Value)
spdx
3.9 KB
Actual file preview for SPDX Container Image SBOM (Tag-Value)

SPDX Container Image SBOM (Tag-Value)

An SPDX tag-value SBOM whose document name is a fictional container image digest rather than an application version: the naming convention image scanners use, and the SPDX counterpart of the CycloneDX container fixture. Every package, version, hash and licence is fictional: the tree describes nothing real.

File
SPDX · Sbom
Use case
Config parsingConversion testing· Conversion set
Preview of SPDX Tag-Value SBOM, Truncated: Intentionally Corrupt
spdx
1.5 KB
Actual file preview for SPDX Tag-Value SBOM, Truncated: Intentionally Corrupt

SPDX Tag-Value SBOM, Truncated: Intentionally Corrupt

An intentionally corrupt SPDX tag-value document, cut off part-way through a tag name so the final line has no colon or value. Kept small on purpose. Every package, version, hash and licence is fictional: the tree describes nothing real.

File
SPDX · Sbom
Use case
Error handlingConfig parsing· Conversion set
Preview of Specialised Input Types (HTML)
html
5.6 KB
Actual file preview for Specialised Input Types (HTML)

Specialised Input Types (HTML)

The input types that behave unlike the rest: a colour picker, a file control, two hidden state fields that carry values without a visible control, and a textarea whose newlines are submitted data rather than layout.

File
HTML · Software Quality · 4 fields
Preview of Spectrometer Absorbance With Expanded Uncertainty (.csv)
csv
1.1 KB
Actual file preview for Spectrometer Absorbance With Expanded Uncertainty (.csv)

Spectrometer Absorbance With Expanded Uncertainty (.csv)

A synthetic absorbance scan from 400 to 630 nm with a Gaussian band at 520 nm, carrying its expanded uncertainty at k=2 in a dedicated column and a per-row quality flag. The unit and the coverage factor live in the column names, which is the convention most instrument exports actually use.

File
CSV · Measurements · 24 rows
Use case
Scientific dataCSV parsing+1· Conversion set
Preview of Speedscope: Evented Profile with Open and Close Events (json)
json
1.8 KB
Actual file preview for Speedscope: Evented Profile with Open and Close Events (json)

Speedscope: Evented Profile with Open and Close Events (json)

The evented half of the speedscope format: explicit O and C events that must nest like brackets, rather than sampled stacks. Tracing profilers emit this shape, and an unbalanced or out-of-order close is the corruption a loader has to detect.

File
JSON · Profiles
Use case
ObservabilityJSON parsing+1· Conversion set
Preview of Speedscope: Sampled Profile with a Shared Frame Table (json)
json
2.2 KB
Actual file preview for Speedscope: Sampled Profile with a Shared Frame Table (json)

Speedscope: Sampled Profile with a Shared Frame Table (json)

A speedscope sampled profile: one shared frame table with source locations, then stacks expressed as arrays of frame indices with per-sample weights in nanoseconds. The index indirection is the whole design, and resolving it wrong produces a plausible but wrong flamegraph.

File
JSON · Profiles · 9 frames
Use case
ObservabilityJSON parsing+1· Conversion set
Preview of Sports League Standings (CSV)
csv
401 B
Actual file preview for Sports League Standings (CSV)

Sports League Standings (CSV)

A football-style league table: position, played, won/drawn/lost, goals for/against, goal difference, and points for ten teams, derived from a full round of synthetic match results. Paired with the results JSON.

File
CSV · Sports
Use case
Data importConversion testing· Conversion set
Preview of Sports Match Results (JSON)
json
7.2 KB
Actual file preview for Sports Match Results (JSON)

Sports Match Results (JSON)

The full round of match results behind the league table: home/away teams, scores, and dates as a JSON array. A fixture for testing sports-data importers and standings calculators.

File
JSON · Sports
Use case
Data importConversion testing· Conversion set
Preview of Spur Gear: 16 teeth (DXF)
dxf
21.2 KB
Actual file preview for Spur Gear: 16 teeth (DXF)

Spur Gear: 16 teeth (DXF)

A 16-tooth spur-gear profile as a closed DXF polyline with a central hub bore: real parametric CAD geometry (not a primitive). For testing DXF parsers, CAM tools, and CAD conversion.

File
DXF · Cad
Use case
Conversion testing· Conversion set
Preview of Spur Gear: 16 teeth (STEP)
step
3.3 KB
Actual file preview for Spur Gear: 16 teeth (STEP)

Spur Gear: 16 teeth (STEP)

The same 16-tooth spur-gear profile as STEP AP214 CARTESIAN_POINT entities: the CAD-exchange twin of the DXF, for testing STEP parsing.

File
STEP · Cad
Use case
Conversion testing· Conversion set
Preview of SQL: Hello World
sql
72 B
Actual file preview for SQL: Hello World

SQL: Hello World

The classic first query in SQL (a single SELECT of a literal) for testing highlighters, SQL parsers, and query editors.

File
SQL · Sql
Preview of SQL: Library schema (DDL, view, join)
sql
994 B
Actual file preview for SQL: Library schema (DDL, view, join)

SQL: Library schema (DDL, view, join)

A realistic SQL script with CREATE TABLE constraints and foreign keys, INSERT seed data, a CREATE VIEW, and a grouped aggregate query with a join, for testing SQL parsers, formatters, and highlighters.

File
SQL · Sql