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metadata
license: apache-2.0
language:
  - en
task_categories:
  - text-generation
tags:
  - math
  - reinforcement-learning
  - tool-use
  - hindsight
configs:
  - config_name: source
    data_files:
      - split: full
        path: rl_trace_opsd.parquet
  - config_name: grpo
    default: true
    data_files:
      - split: train
        path: grpo/train.parquet
      - split: validation
        path: grpo/validation.parquet

rl_trace_opsd

The versioned mathematical RL data used by the ToolElite TRACE-OPSD project. The source contains 20,161 examples, with columns id, problem, ground_truth, difficulty, hindsight, and solution. Difficulty labels are mid (10,940 examples) and high (9,221 examples).

Two representations of the same examples

Configuration Split Examples Purpose
source full 20,161 Full problem pool, including held-out validation IDs
grpo train 19,905 Immutable training split in ToolElite/verl format
grpo validation 256 Fixed training-monitoring validation split

These are different representations of the same pool, not additional datasets. Do not train on the source/full split without excluding the fixed validation IDs. The validation split has 160 mid + 96 high examples; split seed is 42. It is separate from final GSM8K/MATH500/AIME benchmark evaluation.

from datasets import load_dataset

training = load_dataset("BitZone910/rl_trace_opsd", "grpo", split="train")
validation = load_dataset("BitZone910/rl_trace_opsd", "grpo", split="validation")
source = load_dataset("BitZone910/rl_trace_opsd", "source", split="full")

The GRPO format includes the tool prompt, terminal answer reward, source IDs, and training-only privileged hindsight. At inference/evaluation, expose only the problem and tool prompt to the policy; do not leak answer or hindsight fields.

Source and attribution

Derived from NuminaMath-TIR, whose publisher declares Apache-2.0. ToolElite adds difficulty labels, solution hindsight, filtering, and tool-training formatting. Preserve upstream attribution and the included Apache license when redistributing.