facebookresearch/igsm — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2025-01-12
Generate thousands of unique multi-step math reasoning problems for training or testing an AI model.
Automatically verify whether a model's full solution logic is correct, not just its final answer.
Create harder retry versions of a problem a model previously got wrong to study how it learns from mistakes.
Inspect the dependency graph behind a generated problem to understand how its quantities relate to each other.
| facebookresearch/igsm | thealgorithms/scripts | amazon-science/cyber-zero | |
|---|---|---|---|
| Stars | 88 | 88 | 87 |
| Language | Python | Python | Python |
| Last pushed | 2025-01-12 | 2023-10-04 | — |
| Maintenance | Stale | Dormant | — |
| Setup difficulty | moderate | easy | hard |
| Complexity | 4/5 | 1/5 | 4/5 |
| Audience | researcher | ops devops | researcher |
Figures from each repo's GitHub metadata at analysis time.
Requires reading the Jupyter notebook examples to understand the problem-graph structure before generating your own problems.
A tool that automatically generates grade-school-style math reasoning problems, verifies whether a solution's full logic is correct, and creates harder retry versions for testing AI models.
Mainly Python. The stack also includes Python, Jupyter.
Stale — no commits in 1-2 years (last push 2025-01-12).
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
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