Novus Examples, Real, documented example files for testing

Super-Resolution Input: text-motion, ÷3 Area / box

The text-motion plate downscaled 3× to 212x120 using a area / box filter. Simple pixel averaging, what a camera's binning path actually does. Softer than bicubic and not what most models saw in training, which makes it a fairer test. Upscale it back to 640x360 and score against the ground truth in this group: the filter is recorded because which one was used changes the difficulty far more than the scale factor does.

File: MP4 · Superres · 212x120
Use case: Video upscalingVideo QA· Conversion set

Super-Resolution Input: text-motion, ÷3 Bicubic

The text-motion plate downscaled 3× to 212x120 using a bicubic filter. The standard downscale in most benchmarks. Mild ringing at edges, and the filter most super-resolution models are trained to invert, so it flatters them. Upscale it back to 640x360 and score against the ground truth in this group: the filter is recorded because which one was used changes the difficulty far more than the scale factor does.

File: MP4 · Superres · 212x120
Use case: Video upscalingVideo QA· Conversion set

Super-Resolution Input: text-motion, ÷3 Nearest neighbour

The text-motion plate downscaled 3× to 212x120 using a nearest neighbour filter. Point sampling with no filtering at all, so downscaling aliases hard. The Siemens star folds into moiré, and no amount of upscaling can recover what aliasing destroyed. Upscale it back to 640x360 and score against the ground truth in this group: the filter is recorded because which one was used changes the difficulty far more than the scale factor does.

File: MP4 · Superres · 212x120
Use case: Video upscalingVideo QA· Conversion set

Super-Resolution Input: text-motion, ÷4 Area / box

The text-motion plate downscaled 4× to 160x90 using a area / box filter. Simple pixel averaging, what a camera's binning path actually does. Softer than bicubic and not what most models saw in training, which makes it a fairer test. Upscale it back to 640x360 and score against the ground truth in this group: the filter is recorded because which one was used changes the difficulty far more than the scale factor does.

File: MP4 · Superres · 160x90
Use case: Video upscalingVideo QA· Conversion set

Super-Resolution Input: text-motion, ÷4 Bicubic

The text-motion plate downscaled 4× to 160x90 using a bicubic filter. The standard downscale in most benchmarks. Mild ringing at edges, and the filter most super-resolution models are trained to invert, so it flatters them. Upscale it back to 640x360 and score against the ground truth in this group: the filter is recorded because which one was used changes the difficulty far more than the scale factor does.

File: MP4 · Superres · 160x90
Use case: Video upscalingVideo QA· Conversion set

Super-Resolution Input: text-motion, ÷4 Nearest neighbour

The text-motion plate downscaled 4× to 160x90 using a nearest neighbour filter. Point sampling with no filtering at all, so downscaling aliases hard. The Siemens star folds into moiré, and no amount of upscaling can recover what aliasing destroyed. Upscale it back to 640x360 and score against the ground truth in this group: the filter is recorded because which one was used changes the difficulty far more than the scale factor does.

File: MP4 · Superres · 160x90
Use case: Video upscalingVideo QA· Conversion set

Support Escalation AcroForm (SAMPLE)

A one-page fillable PDF twin of the support escalation HTML form. Its canonical AcroForm field tree, widgets, values, and appearance streams are generator-validated.

File: PDF · Customer Support · 1 page
Use case: Form testingForm parsing+1· Conversion set

Support Escalation Field Manifest (JSON)

Machine-readable field names, labels, types, required states, choices, and input hints for the support escalation family.

File: JSON · Customer Support · 8 fields
Use case: Form testingForm parsing+1· Conversion set

Support Escalation Form (HTML)

A level-one to specialist support handoff for testing ticket escalation, impact classification, troubleshooting history, and callback-field imports. This standalone HTML reference works offline, uses explicit labels and native validation, and submits nowhere.

File: HTML · Customer Support · 8 fields
Use case: Form testingForm parsing+1· Conversion set

Support Escalation Sample Export (CSV)

A one-row UTF-8 CSV export of the fictional support escalation response with columns in the same order as the field manifest.

File: CSV · Customer Support · 1 row
Use case: Form testingForm parsing+1· Conversion set

Support Escalation Sample Response (JSON)

Fictional submitted values for every documented support escalation field, suitable for request parsing, mapping, and round-trip tests.

File: JSON · Customer Support · 8 fields
Use case: Form testingForm parsing+1· Conversion set

SUPPORT: Tickets (CSV)

Synthetic support dataset (tickets) as CSV, for ETL and warehouse loader tests.

File: CSV · Support · 6 rows
Use case: Data importCSV parsing· Conversion set

SUPPORT: Tickets (JSON)

JSON twin of the support/tickets mini-dataset.

File: JSON · Support · 6 records
Use case: Data importJSON parsing· Conversion set

Survey Form (HTML)

A downloadable survey form with mixed question types: a rating scale, dropdown, checkbox and radio groups, a satisfaction slider, and a comment box.

File: HTML · Feedback · 7 fields
Use case: Form testingAutofill testing+2

Survey Responses: Likert + NPS (CSV, 60 rows)

A customer-survey response set: 60 respondents rating five statements on a 1–5 Likert scale plus a 0–10 NPS score and a segment. A fixture for testing survey analysis, aggregation, and NPS/CSAT calculations.

File: CSV · Surveys · 60 rows
Use case: Data importConversion testing+1

svg

986 B

SVG icon sprite (symbol sheet)

An SVG sprite sheet defining five reusable icons as <symbol> elements referenced by <use href='#id'>, for testing SVG sprite pipelines and icon systems. Paired with a PNG sprite twin.

File: SVG · Sprites
Use case: Web assetsConversion testing· Paired fixture

Swift Struct

Swift struct SAMPLE for SourceKit fixtures.

File: SWIFT · Swift
Use case: Syntax highlightingCode parsing+1

Swift: Hello World

The classic hello-world in Swift (a single print) for testing highlighters, the Swift compiler, and parsers.

File: SWIFT · Swift
Use case: Syntax highlightingCode parsing+1

Swift: Task list (struct, protocol, optionals)

A realistic Swift snippet with an enum, a protocol, a struct with a computed property, optionals and optional binding, and higher-order functions, for testing highlighters, the Swift compiler, SwiftLint, and parsers.

File: SWIFT · Swift
Use case: Syntax highlightingCode parsing+1

Synth Batch 01 (CSV)

Deterministic synthetic CSV batch 01 for bulk-import smoke tests.

File: CSV · Synth · 5 rows
Use case: Data importCSV parsing· Conversion set

Synth Batch 01 (JSON)

Deterministic synthetic JSON batch 01 for bulk-import smoke tests.

File: JSON · Synth · 5 records
Use case: Data importJSON parsing· Conversion set

Synth Batch 02 (CSV)

Deterministic synthetic CSV batch 02 for bulk-import smoke tests.

File: CSV · Synth · 5 rows
Use case: Data importCSV parsing· Conversion set

Synth Batch 02 (JSON)

Deterministic synthetic JSON batch 02 for bulk-import smoke tests.

File: JSON · Synth · 5 records
Use case: Data importJSON parsing· Conversion set

Synth Batch 03 (CSV)

Deterministic synthetic CSV batch 03 for bulk-import smoke tests.

File: CSV · Synth · 5 rows
Use case: Data importCSV parsing· Conversion set

Explore the test library

Filter the library

5297 results