Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
mmopd
| 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](https://arxiv.org/abs/2609.34745) ([code](https://github.com/shkim0824/immopd)). | |
| | Subset | Rows | Content | | |
| |---|---|---| | |
| | `finance` | 7,565 | numeric-answer prompts from the training splits of FinQA and TAT-QA ([MMOPD/Qwen3-4B-OT3-finance](https://huggingface.co/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](https://huggingface.co/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](https://github.com/czyssrs/FinQA), [TAT-QA](https://github.com/NExTplusplus/TAT-QA), [nvidia/Nemotron-RL-Ultra-Training-Blends](https://huggingface.co/datasets/nvidia/Nemotron-RL-Ultra-Training-Blends). Please follow the licenses of the source datasets. | |
| ## Citation | |
| ```bibtex | |
| @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} | |
| } | |
| ``` | |