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ONNX Inference Contract - Affine MatMul plus Add Input

The named float32 input tensor payload for the Affine MatMul plus Add model, with explicit shapes and JSON values for runner-independent test setup.

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

ONNX Inference Contract - Affine MatMul plus Add Model

A two-node affine transform with fixed weights and bias, exercising initializers, MatMul dimensions and Add broadcasting. The matching JSON input and expected output make the model immediately usable in a CI inference assertion.

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

ONNX Inference Contract - Dynamic-Batch ReduceSum Expected Output

The reference-evaluator output for the Dynamic-Batch ReduceSum 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

ONNX Inference Contract - Dynamic-Batch ReduceSum Input

The named float32 input tensor payload for the Dynamic-Batch ReduceSum model, with explicit shapes and JSON values for runner-independent test setup.

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

ONNX Inference Contract - Dynamic-Batch ReduceSum Model

A ReduceSum graph with a symbolic batch dimension and fixed feature width, for dynamic-shape import and batch-output tests. The matching JSON input and expected output make the model immediately usable in a CI inference assertion.

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

ONNX Inference Contract - Static Identity Expected Output

The reference-evaluator output for the Static Identity 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

ONNX Inference Contract - Static Identity Input

The named float32 input tensor payload for the Static Identity model, with explicit shapes and JSON values for runner-independent test setup.

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

ONNX Inference Contract - Static Identity Model

A one-node identity graph with a fixed 1x4 float tensor, useful as the smallest loader and inference smoke test. The matching JSON input and expected output make the model immediately usable in a CI inference assertion.

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

ONNX Inference Contract - Two-Input Broadcast Add Expected Output

The reference-evaluator output for the Two-Input Broadcast 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

ONNX Inference Contract - Two-Input Broadcast Add Input

The named float32 input tensor payload for the Two-Input Broadcast Add model, with explicit shapes and JSON values for runner-independent test setup.

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

ONNX Inference Contract - Two-Input Broadcast Add Model

A two-input Add graph where a length-two bias broadcasts across a 2x2 matrix, checking input binding and broadcasting rules. The matching JSON input and expected output make the model immediately usable in a CI inference assertion.

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

OpenAI Tools Schema (JSON)

OpenAI function tools definition JSON paired with the tool-calling traces.

File: JSON · Nlp
Use case: Tool calling / function callingSchema / OpenAPI testing

Pairwise Ranking Preferences (JSONL)

Pairwise doc preferences for reward-model and reranker training tests.

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

Parallel Tool Calls (JSONL)

Parallel multi-tool call payloads for concurrent tool-router tests.

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

Parallel Translation Corpus — EN↔ES (JSONL)

An English↔Spanish parallel corpus in JSON Lines — 20 aligned sentence pairs of everyday phrases. A fixture for training and evaluating machine-translation models and for testing UTF-8 handling of accented characters.

File: JSONL · Nlp
Use case: ML training dataNLP datasets+2

Per-class Metrics (JSON)

Per-class precision/recall/F1 snapshot for classification dashboards.

File: JSON · Eval
Use case: Model evaluation

Precision-Recall Curve Points (JSON)

PR curve coordinates for average-precision metric tests.

File: JSON · Eval
Use case: Model evaluation

Prompt — Fewshot Translate

Tiny SAMPLE prompt fixture (fewshot-translate) for harness and eval wiring.

File: TXT · Prompts
Use case: Prompt engineeringML training data· Conversion set

Prompt — System Concise

Tiny SAMPLE prompt fixture (system-concise) for harness and eval wiring.

File: TXT · Prompts
Use case: Prompt engineeringML training data· Conversion set

Prompt — System Json Only

Tiny SAMPLE prompt fixture (system-json-only) for harness and eval wiring.

File: TXT · Prompts
Use case: Prompt engineeringML training data· Conversion set

Prompt — User Classify

Tiny SAMPLE prompt fixture (user-classify) for harness and eval wiring.

File: TXT · Prompts
Use case: Prompt engineeringML training data· Conversion set

Prompt — User Extract Entities

Tiny SAMPLE prompt fixture (user-extract-entities) for harness and eval wiring.

File: TXT · Prompts
Use case: Prompt engineeringML training data· Conversion set

Prompt — User Summarize

Tiny SAMPLE prompt fixture (user-summarize) for harness and eval wiring.

File: TXT · Prompts
Use case: Prompt engineeringML training data· Conversion set

Prompt Library (JSONL)

A reusable prompt library in JSON Lines — 20 templated prompts for summarization, translation, extraction, code, and more, each with a task label, tags, and {curly-brace} placeholders. A fixture for prompt-management tools and JSONL parsers.

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