Skip to main content

Comprehensive benchmark and evaluation framework for educational AI question generation

Project description

InceptBench

PyPI version Python Version License Swagger

Educational content evaluation framework using LLM-based analysis.

WebsiteBenchmarksAPI EndpointAPI DocsGitHub

Overview

InceptBench evaluates educational content across multiple quality dimensions:

  • Automated Classification - Determines content type (question, quiz, reading, etc.)
  • Hierarchical Evaluation - Decomposes complex content and evaluates bottom-up
  • Comprehensive Metrics - 8-11 metrics per content type with scores and reasoning
  • Curriculum-Aware - Integrates curriculum standards via vector store search

Installation

pip install inceptbench

CLI Usage

# Create sample input file
inceptbench example

# Evaluate from JSON file
inceptbench evaluate content.json

# Evaluate raw content
inceptbench evaluate --raw "What is 2+2? A) 3 B) 4 C) 5 D) 6"

# Save results to file
inceptbench evaluate content.json -o results.json

# Check version
inceptbench --version

REST API

The production API is available at https://api.inceptbench.com

# Health check
curl https://api.inceptbench.com/health

# Interactive docs
# Visit: https://api.inceptbench.com/docs

# Evaluate content
curl -X POST https://api.inceptbench.com/evaluate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-api-key" \
  -d '{"generated_content": [{"content": "What is 2+2? A) 3 B) 4 C) 5 D) 6"}]}'

Programmatic Usage (Python)

import asyncio
from inceptbench_new import EvaluationService

async def main():
    service = EvaluationService()
    result = await service.evaluate(
        content="What is 2+2? A) 3 B) 4 C) 5 D) 6",
        curriculum="common_core"
    )
    print(f"Score: {result.overall.score:.2f}")

asyncio.run(main())

Input Format

{
  "generated_content": [
    {
      "id": "q1",
      "curriculum": "common_core",
      "request": {
        "grade": "7",
        "subject": "mathematics",
        "type": "mcq",
        "difficulty": "medium",
        "locale": "en-US",
        "skills": {
          "lesson_title": "Solving Linear Equations",
          "substandard_id": "CCSS.MATH.7.EE.A.1"
        },
        "instruction": "Create a linear equation problem"
      },
      "content": "What is 2+2? A) 3 B) 4 C) 5 D) 6"
    }
  ]
}

Content Item Fields

Field Required Default Description
content Yes - Content to evaluate (string or JSON)
id No Auto-generated Unique identifier
curriculum No common_core Curriculum for alignment
request No null Generation metadata (see below)

Request Metadata Fields (all optional)

Field Description
grade Grade level (e.g., "7", "K", "12")
subject Subject area (e.g., "mathematics", "english")
type Content type (e.g., "mcq", "fill-in", "article")
difficulty Difficulty level (e.g., "easy", "medium", "hard")
locale Locale/language code (e.g., "en-US", "es-MX")
skills Skills info (JSON object or string)
instruction Generation instruction/prompt

Images

Images are automatically detected from content. Include as:

  • Direct URLs: https://example.com/image.png
  • Markdown: ![alt](https://example.com/image.png)
  • HTML: <img src="https://example.com/image.png">

Content Types

The evaluator automatically classifies content into:

Type Description
question Single educational question
quiz Multiple questions together
fiction_reading Fictional narrative passages
nonfiction_reading Informational passages
other General educational content

Documentation

For complete documentation, input format details, and developer guides:

View Full Documentation on GitHub

License

Proprietary - Copyright Trilogy Education Services

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

inceptbench-2.3.0.tar.gz (2.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

inceptbench-2.3.0-py3-none-any.whl (2.4 MB view details)

Uploaded Python 3

File details

Details for the file inceptbench-2.3.0.tar.gz.

File metadata

  • Download URL: inceptbench-2.3.0.tar.gz
  • Upload date:
  • Size: 2.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.11.9 Windows/10

File hashes

Hashes for inceptbench-2.3.0.tar.gz
Algorithm Hash digest
SHA256 16309becfff8d8b892ac05b65f33532ab22bc46faa53475ca9b6ebbdd2a34689
MD5 4efdce8c81731e23b06c6f329ae3e001
BLAKE2b-256 092fb5a8679635108c69fdb38163bfd41c18d2a0f14d53b9f03c7934be715a2c

See more details on using hashes here.

File details

Details for the file inceptbench-2.3.0-py3-none-any.whl.

File metadata

  • Download URL: inceptbench-2.3.0-py3-none-any.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.11.9 Windows/10

File hashes

Hashes for inceptbench-2.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bbcd243ada575fe857d1af6af2d1b186976afdac8a418d118750d243d9f206af
MD5 f9e56539599eb9546e25bee241b0f374
BLAKE2b-256 69fae861873872a9e9b70aedc9a7685812c00fb5570291e59ad2744535c3669a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page