Novus Examples, Real, documented example files for testing

Face Restore Mask: Blur (512px)

Damage-region mask (L) for the face-restore case: white = degraded region.

File: PNG · Face Restore · 512 × 512 px
Use case: Face restoreImage pipeline QA· Conversion set

Face Restore Mask: Combo (512px)

Damage-region mask (L) for the face-restore case: white = degraded region.

File: PNG · Face Restore · 512 × 512 px
Use case: Face restoreImage pipeline QA· Conversion set

Face Restore Mask: Downscale (512px)

Damage-region mask (L) for the face-restore case: white = degraded region.

File: PNG · Face Restore · 512 × 512 px
Use case: Face restoreImage pipeline QA· Conversion set

Face Restore Mask: Jpeg-Crush (512px)

Damage-region mask (L) for the face-restore case: white = degraded region.

File: PNG · Face Restore · 512 × 512 px
Use case: Face restoreImage pipeline QA· Conversion set

Failed Tool Calls (JSONL)

Failed tool invocation rows for agent error-handling and retry tests.

File: JSONL · Nlp · 4 records
Use case: Tool calling / function callingError handling

Fake Orders Dataset (CSV, 1000 rows)

A 1000-row orders dataset whose user_id references the users dataset: a relational fixture for testing joins and import flows. Paired with a JSON twin.

File: CSV · Fake Datasets · 1,000 rows
Use case: Data importConversion testing· Conversion set

Fake Orders Dataset (JSON, 1000 records)

The 1000-row orders dataset as JSON: the format twin of the CSV version, relational to the users dataset.

File: JSON · Fake Datasets · 1,000 records
Use case: Data importConversion testing· Conversion set

Fake Users Dataset (CSV, 500 rows)

A 500-row dataset of fake but realistic users (name, email, address, date of birth), generated with a fixed seed. Paired with a JSON twin.

File: CSV · Fake Datasets · 500 rows
Use case: Data importConversion testing· Conversion set

Fake Users Dataset (JSON, 500 records)

The 500-row users dataset as a JSON array: the format twin of the CSV version, for testing import and conversion.

File: JSON · Fake Datasets · 500 records
Use case: Data importConversion testing· Conversion set

FASTA Contigs: One Line Per Record (.fasta)

The same four contigs written one sequence per line rather than wrapped, which is how many pipelines emit FASTA and how many line-oriented parsers assume it always looks. Comparing against the wrapped twin proves a parser joins continuation lines instead of taking the first one.

File: FASTA · Bioinformatics · 4 records
Use case: Scientific dataEditor testing+1· Paired fixture

FASTA Contigs: Wrapped at 60 Columns (.fasta)

Four 600-base synthetic contigs wrapped at the conventional 60 columns, with the length and an invented organism name in each header. The sequences come from a fixed seed, so they are reproducible and belong to nothing that exists.

File: FASTA · Bioinformatics · 4 records
Use case: Scientific dataEditor testing· Paired fixture

FASTQ Quality Score Reference: Both Encodings Decoded (.csv)

Every twelfth base of the six reads with its Phred score, the ASCII character it takes under both offsets, and the error probability that score implies. It converts a quality-encoding argument into a lookup you can diff.

File: CSV · Bioinformatics · 30 rows
Use case: Scientific dataEditor testing+1· Conversion set

FASTQ Reads: Phred+33 (Sanger / Illumina 1.8+) (.fastq)

Six 60-base reads with Phred+33 quality strings, the modern Sanger encoding used by everything since Illumina 1.8. Quality declines along each read the way real sequencing does, so a mis-decoded offset produces implausible scores rather than plausible ones.

File: FASTQ · Bioinformatics · Phred+33
Use case: Scientific dataEditor testing· Paired fixture

FASTQ Reads: Phred+64 Legacy Encoding (.fastq)

The identical reads and identical quality scores written with the legacy Phred+64 offset used by older Illumina pipelines. Decode it with the modern offset and every base looks 31 points better than it is, which is a silent quality inflation rather than a parse failure.

File: FASTQ · Bioinformatics · Phred+64
Use case: Scientific dataEditor testing+1· Paired fixture

ico

5.2 KB

Favicon (multi-size ICO)

A multi-resolution favicon.ico bundling 16, 32, 48, and 64 px images of the brand mark, for testing favicon parsers, ICO decoders, and multi-image icon handling.

File: ICO · Favicons
Use case: Web assetsConversion testing· Conversion set

svg

369 B

Favicon (scalable SVG)

A scalable SVG favicon of the brand mark: the modern crisp-at-any-size icon format, for testing SVG favicon support and vector-to-raster favicon pipelines.

File: SVG · Favicons
Use case: Web assetsConversion testing· Conversion set

png

534 B

Favicon Pack: 16×16 PNG

Synthetic 16×16 favicon-size mark (not a real brand) for favicon pipeline / resize tests.

File: PNG · Multipage Sprite · 16 × 16 px
Use case: Conversion testing· Conversion set

png

848 B

Favicon Pack: 32×32 PNG

Synthetic 32×32 favicon-size mark (not a real brand) for favicon pipeline / resize tests.

File: PNG · Multipage Sprite · 32 × 32 px
Use case: Conversion testing· Conversion set

png

1.2 KB

Favicon Pack: 48×48 PNG

Synthetic 48×48 favicon-size mark (not a real brand) for favicon pipeline / resize tests.

File: PNG · Multipage Sprite · 48 × 48 px
Use case: Conversion testing· Conversion set

png

300 B

Favicon Pack: 64×64 PNG

Synthetic 64×64 favicon-size mark (not a real brand) for favicon pipeline / resize tests.

File: PNG · Multipage Sprite · 64 × 64 px
Use case: Conversion testing· Conversion set

ico

2.6 KB

Favicon Pack: Multi-size ICO

Windows ICO containing 16/32/48 favicon sizes of the synthetic mark, for ICO parsers and extractors.

File: ICO · Multipage Sprite
Use case: Conversion testing· Conversion set

FB2 - Converter Twin of the EPUB Pair

The FictionBook build of the same two chapters: one self-contained XML file with a description block, no container and no manifest. The third member of the conversion set, and the one that has to invent an equivalent for everything the EPUB package documents declare.

File: FB2 · Converter Twins · UTF-8
Use case: Conversion testing· Conversion set

FB2 - Cover Embedded as a base64 binary Element

A FictionBook whose cover is a base64-encoded PNG in a binary element at the foot of the file, wired to a coverpage in the description by xlink id. For testing FB2 image extraction and the converters that have to turn that blob back into a real file.

File: FB2 · Fb2 · UTF-8
Use case: Conversion testingMetadata testing· Conversion set

FB2 - Declared windows-1251 Encoding (Cyrillic)

A Cyrillic FictionBook stored in windows-1251 and declaring that encoding in its XML declaration - the single-byte legacy encoding a large share of real FB2 files still use. For testing importers that assume every XML file is UTF-8 and produce mojibake instead of an error.

File: FB2 · Fb2 · windows-1251
Use case: Encoding detectionConversion testing· Conversion set

Explore the test library

Filter the library

5297 results

Face Restore Mask: Blur (512px)

Face Restore Mask: Combo (512px)

Face Restore Mask: Downscale (512px)

Face Restore Mask: Jpeg-Crush (512px)

Failed Tool Calls (JSONL)

Fake Orders Dataset (CSV, 1000 rows)

Fake Orders Dataset (JSON, 1000 records)

Fake Users Dataset (CSV, 500 rows)

Fake Users Dataset (JSON, 500 records)

FASTA Contigs: One Line Per Record (.fasta)

FASTA Contigs: Wrapped at 60 Columns (.fasta)

FASTQ Quality Score Reference: Both Encodings Decoded (.csv)

FASTQ Reads: Phred+33 (Sanger / Illumina 1.8+) (.fastq)

FASTQ Reads: Phred+64 Legacy Encoding (.fastq)

Favicon (multi-size ICO)

Favicon (scalable SVG)

Favicon Pack: 16×16 PNG

Favicon Pack: 32×32 PNG

Favicon Pack: 48×48 PNG

Favicon Pack: 64×64 PNG

Favicon Pack: Multi-size ICO

FB2 - Converter Twin of the EPUB Pair

FB2 - Cover Embedded as a base64 binary Element

FB2 - Declared windows-1251 Encoding (Cyrillic)

Filter the library