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metadata
title: Conjecture Lean+AI Lab
sdk: gradio
sdk_version: 6.6.0
python_version: '3.10'
app_file: app.py
pinned: false
emoji: 🔬

Conjecture Lean+AI Lab

This Space is tailored for conjecture-focused math research workflows that combine:

  • AI-assisted reasoning and strategy generation
  • dataset-grounded retrieval from NorthernTribe-Research/math-conjecture-training-corpus
  • model execution using NorthernTribe-Research/math-conjecture-model (with fallback)
  • explicit work trace emission on every run
  • Lean-oriented verification stubs for formal follow-up
  • alignment with the simple-to-intermediate-to-advanced-to-Lean response profile used in training and eval

What this Space does

  1. Accepts a conjecture statement and analysis mode.
  2. Lets you choose response depth (Simple to Lean formalization, including progressive simple-to-Lean mode).
  3. Retrieves relevant examples from the dataset (validation/test splits).
  4. Builds a transparent prompt with evidence context.
  5. Runs model inference (preferred repo, then fallback).
  6. Displays:
    • full work log,
    • retrieved evidence table,
    • exact prompt sent to the model,
    • model answer with explicit work sections,
    • generated Lean theorem skeleton for formal verification.

Runtime secrets

Set at least one token secret in Space settings:

  • HF_TOKEN or HUGGINGFACE_HUB_TOKEN

Optional:

  • HF_USERNAME

Notes

  • The app is intentionally designed for auditability and reproducibility.
  • Every run should expose intermediate work artifacts in the UI.