create-dataset

name	create-dataset
description	Creates evaluation datasets for Dokimos in JSON, CSV, or JSONL format. Use this skill whenever the user wants to create, generate, or build a dataset for LLM evaluation, test data for experiments, or example files for evaluators. Also triggers when the user asks about dataset formats or wants to convert data into Dokimos-compatible formats.

Create Dataset

Create an evaluation dataset for Dokimos. The user will describe the dataset purpose and content via $ARGUMENTS.

Where things live

• Dataset class: dokimos-core/src/main/java/dev/dokimos/core/Dataset.java
• Parser: dokimos-core/src/main/java/dev/dokimos/core/DatasetParser.java
• Example class: dokimos-core/src/main/java/dev/dokimos/core/Example.java
• Example datasets: dokimos-examples/src/main/resources/datasets/

Before creating a dataset, read Dataset.java and DatasetParser.java to understand supported formats.

Supported formats

JSON

The standard format. Structure:

{
  "name": "Dataset Name",
  "description": "What this dataset evaluates",
  "examples": [
    {
      "input": "What is 2+2?",
      "expectedOutput": "4"
    },
    {
      "inputs": { "input": "complex query", "context": "additional info" },
      "expectedOutputs": { "output": "expected answer" },
      "metadata": { "category": "math", "difficulty": "easy" }
    }
  ]
}

Two forms are supported:

• Simple: input and expectedOutput as top-level strings
• Structured: inputs, expectedOutputs, and metadata as maps (for multi-field examples)

CSV

Headers must include input. Optional: expectedOutput (or expected_output or output). Extra columns become metadata.

input,expectedOutput,category
What is 2+2?,4,math
Capital of France?,Paris,geography

JSONL

One JSON object per line. Same structure as JSON examples but without the wrapper:

{"input": "What is 2+2?", "expectedOutput": "4"}
{"input": "Capital of France?", "expectedOutput": "Paris"}

Steps

1. Ask the user what format they prefer (JSON is the default) if not specified
2. Determine the dataset's purpose, name, and description from $ARGUMENTS
3. Create realistic, diverse examples that cover:
   • Happy path cases
   • Edge cases (empty input, long input, special characters)
   • Different categories/difficulty levels if applicable
4. Place the dataset file in the appropriate location:
   • For test resources: src/test/resources/datasets/
   • For example resources: dokimos-examples/src/main/resources/datasets/
   • Or wherever the user specifies
5. Show the user how to load it:

// From file
Dataset dataset = Dataset.fromJson(Path.of("path/to/dataset.json"));
Dataset dataset = Dataset.fromCsv(Path.of("path/to/dataset.csv"));
Dataset dataset = Dataset.fromJsonl(Path.of("path/to/dataset.jsonl"));

// From classpath (in tests)
// Use @DatasetSource("classpath:datasets/my-dataset.json") with dokimos-junit

Guidelines

• Include at least 5 examples for a useful dataset; 10+ is better for meaningful evaluation
• Mix easy and hard cases — evaluations are only useful if some cases can fail
• Use realistic data that matches what the system under test will actually encounter
• Add metadata fields for slicing results (category, difficulty, source, etc.)
• For RAG datasets, include context fields in the structured format