Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
| license: apache-2.0 | |
| task_categories: | |
| - text-generation | |
| language: | |
| - en | |
| pretty_name: Domyn Edge Teacher Math Mix | |
| size_categories: | |
| - 10K<n<100K | |
| tags: | |
| - domyn | |
| - domyn-edge | |
| - teacher | |
| - math | |
| - grpo | |
| configs: | |
| - config_name: rl | |
| data_files: | |
| - split: train | |
| path: data/rl/train-*.parquet | |
| - split: test | |
| path: data/rl/test-*.parquet | |
| <p align="center"> | |
| <picture> | |
| <source media="(prefers-color-scheme: dark)" srcset="https://cdn.prod.website-files.com/682dcb35e7fd7a313cae803a/6835cb0fb6bd22a7cba7d645_domyn-logo-payoff-primary-white.svg"> | |
| <img alt="Domyn" src="https://cdn.prod.website-files.com/682dcb35e7fd7a313cae803a/6835ca86622d317630fa3861_domyn-logo-primary.svg" width="400"> | |
| </picture> | |
| </p> | |
| # Domyn Edge Teacher Math Mix | |
| > [!IMPORTANT] | |
| > **Phased release.** Domyn Edge is a rolling release in three bundles. This dataset is part of the | |
| > second bundle, together with the domain teachers and their post-training data. For an overview, | |
| > see the [launch blog post](https://domyn.webflow.io/blog/domyn-edge-compact-model-open). | |
| The training data of [Domyn Edge Teacher Math](https://huggingface.co/domyn/Domyn-Edge-Teacher-Math), | |
| in one config: | |
| | Config | Stage | Train | Test | | |
| |---|---|---:|---:| | |
| | `rl` | GRPO, math problems with a verifiable final answer | 20,153 (2.96M tokens) | 815 (0.11M tokens) | | |
| ## `rl`: GRPO problems | |
| Math problems with a single verifiable final answer. The final answer in the | |
| response is checked against `reward.ground_truth.answer` with math-verify. Each | |
| prompt carries a system message that asks for the final answer in `\boxed{}` or | |
| on a final `ANSWER: $ANSWER` line. | |
| | Source | License | Train rows | Train tokens | Test rows | Test tokens | | |
| |---|---|---:|---:|---:|---:| | |
| | [DeepScaleR-Preview-Dataset](https://huggingface.co/datasets/agentica-org/DeepScaleR-Preview-Dataset) | MIT | 10,508 | 1.42M | 421 | 0.05M | | |
| | [Nemotron-3-Nano-RL-Training-Blend](https://huggingface.co/datasets/nvidia/Nemotron-3-Nano-RL-Training-Blend), math slice | ODC-BY 1.0 | 9,645 | 1.53M | 394 | 0.06M | | |
| | **Total** | | **20,153** | **2.96M** | **815** | **0.11M** | | |
| Tokens are prompt tokens, as in the `token_length` column. The 4,606 train rows that ask for an | |
| `ANSWER:` line are copies of other train rows; `metadata.augmented_from` names the original. | |
| ## Decontamination | |
| Before training, the problems were decontaminated against the benchmarks we evaluate on: AIME 2024, | |
| AIME 2025, AIME 2026, HMMT February 2025, HMMT February 2026, GSM8K, MGSM, | |
| GPQA Diamond, IMO-AnswerBench, IMO-ProofBench and LiveBench (math). This removed 22 train and 2 test problems. The `ANSWER:` copies were made afterwards, from | |
| the remaining problems. | |
| ## How to use | |
| ```python | |
| from datasets import load_dataset | |
| rl_train = load_dataset("domyn/Domyn-Edge-Teacher-Math-Mix", "rl", split="train") | |
| rl_test = load_dataset("domyn/Domyn-Edge-Teacher-Math-Mix", "rl", split="test") | |
| ``` | |
| ## Columns | |
| | Column | Type | Description | | |
| |---|---|---| | |
| | `messages` | list | The prompt: `role` and `content` of each message (the other message fields are null). | | |
| | `tools` | string | Always null in this config. | | |
| | `task` | string | Task family. | | |
| | `source` | string | Upstream dataset. | | |
| | `license` | string | License of the upstream record. | | |
| | `metadata` | string | JSON-encoded upstream metadata. | | |
| | `reward` | string | JSON-encoded reward data: `ground_truth` and the scoring `style`. Here `ground_truth.answer` is the reference final answer. | | |
| | `token_length` | int | Prompt length in tokens. | | |
| | `uuid` | string | Record identifier. | | |
| To train with NeMo-Gym, as we did, map each row to the `math_with_judge_simple_agent` input: | |
| `responses_create_params.input` = `messages`; `question` = `reward.ground_truth.question`, or the | |
| user message when absent; `expected_answer` = `reward.ground_truth.answer`; `agent_ref` = | |
| `{"type": "responses_api_agents", "name": "math_with_judge_simple_agent"}`. | |
| ## License | |
| Our contributions to this dataset, including the curation and the mix composition, are released | |
| under the Apache License 2.0. Upstream datasets keep their original license terms. Read | |
| [ATTRIBUTION.md](ATTRIBUTION.md) before redistributing any part of this data. | |
| ## Citation | |
| ```bibtex | |
| @misc{domyn_edge_teacher_math_mix_2026, | |
| title = {Domyn Edge Teacher Math Mix}, | |
| author = {Domyn}, | |
| year = {2026}, | |
| note = {Technical report, forthcoming in November 2026.}, | |
| publisher = {Hugging Face}, | |
| url = {https://huggingface.co/datasets/domyn/Domyn-Edge-Teacher-Math-Mix} | |
| } | |
| ``` | |