Project Files

schemas

dataset.schema.json

sampling.schema.json

src

strategies

length.ts

priority.ts

relevance.ts

dataset.ts

index.ts

sampler.ts

types.ts

INSTRUCTIONS.md

manifest.json

package-lock.json

package.json

tsconfig.json

package.json

{
  "name": "lms-plugin-data-sampler",
  "version": "1.0.0",
  "description": "LM Studio plugin for intelligent text sampling - splits and scores text into optimized chunks using priority, relevance, or length-based strategies.",
  "main": "dist/index.js",
  "scripts": {
    "build": "tsc",
    "dev": "tsc --watch"
  },
  "author": "primary-data",
  "license": "MIT",
  "lmstudio": {
    "displayName": "Data Sampler",
    "description": "Intelligent text sampling with 3 strategies: priority-based (keyword frequency + position scoring), relevance-based (BM25-style query scoring), and length-based (fixed-size chunking). Also supports loading sample rows from HuggingFace datasets via the HF Datasets Server API."
  },
  "dependencies": {
    "@lmstudio/sdk": "^1.5.0",
    "zod": "^3.23.0"
  },
  "devDependencies": {
    "@types/node": "^20.11.0",
    "typescript": "^5.3.3"
  }
}