Datasets:

MMOPD
/

domain-rl-data

language:
  - en
task_categories:
  - text-generation
tags:
  - mmopd
configs:
  - config_name: finance
    data_files: data/finance.jsonl
  - config_name: if
    data_files: data/if.jsonl

domain-rl-data

RL (GRPO) prompts of the two RL domain teachers (Finance, IF) of No Pain, More Gain: Iterative Merging for Effective Multi-Teacher On-Policy Distillation (code).

Subset	Rows	Content
`finance`	7,565	numeric-answer prompts from the training splits of FinQA and TAT-QA (MMOPD/Qwen3-4B-OT3-finance)
`if`	11,728	verifiable instruction-following prompts from the `rlvr1` blend of `nvidia/Nemotron-RL-Ultra-Training-Blends` (MMOPD/Qwen3-4B-OT3-if)

Format

One JSON object per line.

finance: input = question with the report table and text, output = numeric answer, meta = source and answer scale.
if: messages = [user prompt], instruction_id_list and kwargs = the verifiable instructions and their arguments.

Sources

FinQA, TAT-QA, nvidia/Nemotron-RL-Ultra-Training-Blends. Please follow the licenses of the source datasets.

Citation

@article{kim2026immopd,
  title   = {No Pain, More Gain: Iterative Merging for Effective Multi-Teacher On-Policy Distillation},
  author  = {Kim, Seonghyeon and Jang, Chaeyun and Lee, Noah and Kim, Boseop and Lee, Juho},
  journal = {arXiv preprint arXiv:2609.34745},
  year    = {2026}
}