Explore the test library

Find files, editable templates and browser test targets by what you need to make or test. The directory below is cut by format; the two collections under it cut the same library by subject and by workflow.

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Image Caption Dataset (JSONL)

Six synthetic image-caption pairs in JSON Lines, for testing captioning loaders and vision-language eval harnesses.

File: JSONL · Vision · 6 records
Use case: Computer visionML training data+1

Instruction-tuning Dataset: Alpaca Format (JSONL)

An instruction-tuning dataset in the Alpaca JSONL format: 20 instruction / input / output triples covering small transformations, extraction, and factual answers. Fully synthetic; a fixture for supervised fine-tuning pipelines.

File: JSONL · Nlp · 20 records
Use case: ML training dataNLP datasets+1

Learning-to-Rank Queries (JSONL)

Query-document relevance grades for learning-to-rank training and eval.

File: JSONL · Ranking · 6 records
Use case: ML training dataNLP datasets

Listwise Ranking (JSONL)

Listwise ranked doc lists for nDCG and listwise loss tests.

File: JSONL · Ranking · 4 records
Use case: ML training data

Mini RAG Corpus: doc-a.md

A short Markdown document in the mini RAG corpus (doc-a.md). Retrieve against the paired queries JSON.

File: MD · Rag
Use case: ML training dataNLP datasets+1· Conversion set

Mini RAG Corpus: doc-b.md

A short Markdown document in the mini RAG corpus (doc-b.md). Retrieve against the paired queries JSON.

File: MD · Rag
Use case: ML training dataNLP datasets+1· Conversion set

Mini RAG Corpus: doc-c.md

A short Markdown document in the mini RAG corpus (doc-c.md). Retrieve against the paired queries JSON.

File: MD · Rag
Use case: ML training dataNLP datasets+1· Conversion set

Mini RAG Corpus: doc-d.md

A short Markdown document in the mini RAG corpus (doc-d.md). Retrieve against the paired queries JSON.

File: MD · Rag
Use case: ML training dataNLP datasets+1· Conversion set

Mini RAG Queries (JSON)

Retrieval-eval queries with relevant_docs pointers into the mini RAG Markdown corpus.

File: JSON · Rag
Use case: ML training dataNLP datasets+1· Conversion set

Model Benchmark Results (JSON)

A model-evaluation summary in JSON, per-task scores for a fictional model across sentiment, NER, summarization, translation, and QA, each with its metric and sample size. A fixture for testing eval dashboards and leaderboard importers.

File: JSON · Eval
Use case: Model evaluationJSON parsing+1

MRR Eval Ground Truth (JSON)

Mean reciprocal rank ground truth for search eval harness tests.

File: JSON · Ranking
Use case: Model evaluation

Multi-step Agent Trace (JSONL)

Multi-step agent action/observation trace for ReAct-style eval harnesses.

File: JSONL · Nlp
Use case: Tool calling / function callingML training data

Multilingual Captions: DE (JSONL)

DE image captions referencing Wave F detection scenes.

File: JSONL · Vision · 4 records
Use case: Computer visionML training data+1

Multilingual Captions: EN (JSONL)

EN image captions referencing Wave F detection scenes.

File: JSONL · Vision · 4 records
Use case: Computer visionML training data+1

Multilingual Captions: ES (JSONL)

ES image captions referencing Wave F detection scenes.

File: JSONL · Vision · 4 records
Use case: Computer visionML training data+1

Multilingual Captions: FR (JSONL)

FR image captions referencing Wave F detection scenes.

File: JSONL · Vision · 4 records
Use case: Computer visionML training data+1

Multilingual Captions: JA (JSONL)

JA image captions referencing Wave F detection scenes.

File: JSONL · Vision · 4 records
Use case: Computer visionML training data+1

Multilingual Captions: Parallel (JSONL)

Parallel EN/ES/FR/DE captions per image for multilingual eval.

File: JSONL · Vision · 6 records
Use case: Computer visionML training data

Multilingual Embeddings (JSON)

EN/ES sentence embeddings for cross-lingual similarity tests.

File: JSON · Embeddings
Use case: ML training data

Named-Entity Recognition Dataset: BIO Tags (JSONL)

A token-classification dataset in JSON Lines: 16 tokenized sentences with aligned BIO tags for person, organisation, and location entities. All names, companies, and places are fictional. A fixture for NER model training and sequence-labelling tooling.

File: JSONL · Nlp · 16 records
Use case: ML training dataNLP datasets+1

nDCG Ground Truth (JSON)

Precomputed DCG/nDCG values for ranking metric unit tests.

File: JSON · Ranking
Use case: Model evaluation

Object-detection Scene (PNG, 640×480)

A simple rendered street scene with a person, a car, and a tree at known pixel coordinates: the image the COCO, YOLO, and Pascal-VOC annotation twins describe. A fixture for testing object-detection loaders and annotation converters.

File: PNG · Vision · 640 × 480 px
Use case: Computer visionML training data+1

OCR Assistant Chat Turns (JSONL)

A single multi-turn chat example for an OCR assistant: system/user/assistant roles in JSONL.

File: JSONL · Prompts · 1 record
Use case: Prompt engineeringNLP datasets+1

ONNX Inference Contract - Affine MatMul plus Add Expected Output

The reference-evaluator output for the Affine MatMul plus Add model and supplied input, including shape, dtype, exact values and a 1e-6 tolerance.

File: JSON · Model Inference
Use case: Model inference testingModel evaluation+1· Conversion set