Math RL Tasks B

AI benchmark · Math

Tier
B why
Snapshot

Open benchmark ↗huggingface.co/datasets/ulamai/Math-RL-Tasks

What is Math RL Tasks?

Math RL Tasks scores models on 20 constructive mathematics problems where an executable verifier checks a submitted mathematical object or certificate and returns a binary reward.

Tier B

B

Established: 15 or more models scored, or curated RL directories rate it.

How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.

  • listed with Ulam
  • in curated RL directories (3 pts)
How we got to tier B
  1. Adoption: listed with Ulam. Tier C.
  2. On X: unclear, none buzz No move.
  3. In curated RL directories: 3 points, a floor of B. Raised to B.
  4. Confirmed: a line from its own site or paper places it.

A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.

Training methods

Methods Math RL Tasks uses, offers or builds for, with public evidence: its own website says so, or two independent sites do.

  • “2.564 / 4 A-SFT + V-RLVR · rank 2”

    ulam.ai

    “Strict RLVR rows are an explicitly promoted subset—not a label for the whole corpus. The public release provides 10 inspection examples, schema, and quality-gate definitions.”

    ulam.ai
  • “Training views: SFT, DPO, critic and repair data, RLVR/GRPO tasks, process-reward steps, private evaluation, and regression tests.”

    ulam.ai

    “Preferences Verifier-ranked pairs Failed and corrected attempts become DPO-compatible signal.”

    ulam.ai
  • “Training views: SFT, DPO, critic and repair data, RLVR/GRPO tasks, process-reward steps, private evaluation, and regression tests.”

    ulam.ai

    “Identity Exact checkpoint lineage Base, SFT, DPO, and GRPO students remain distinguishable.”

    ulam.ai
  • SFT Supervised Fine-Tuning On its own website

    “Tests shaped verification rewards alone and after specialized SFT, separating proof-critique skill from broad completion reliability.”

    ulam.ai

    “Useful for tactic SFT, critics, proof repair, preference data, RLVR, and regression. Formal status applies to Lean-accepted proof steps.”

    ulam.ai

Where Math RL Tasks sits

Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map

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Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-31 snapshot.