Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Commit ·
c509be2
0
Parent(s):
feat: upload math teacher dataset mix
Browse files- .gitattributes +60 -0
- ATTRIBUTION.md +36 -0
- README.md +114 -0
- data/rl/test-00000.parquet +3 -0
- data/rl/train-00000.parquet +3 -0
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# Audio files - uncompressed
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ATTRIBUTION.md
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# Data Sources, Licenses, and Attribution
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## Overview
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This dataset was assembled by Domyn from publicly available datasets and from datasets generated
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by Domyn.
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We acknowledge the original dataset creators, contributors, and organizations responsible for
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collecting, curating, processing, and publishing the upstream data.
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The dataset incorporates material subject to different licenses and terms of use. The licensing
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information below describes the terms published by the corresponding upstream sources at the time
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of this release. These terms do not necessarily apply uniformly to every underlying record.
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The source references below are provided for attribution and provenance. They are not a
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representation that all underlying content has been independently cleared for redistribution.
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## Source Attribution
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### DeepScaleR-Preview-Dataset
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Source: Agentica
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Repository:
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https://huggingface.co/datasets/agentica-org/DeepScaleR-Preview-Dataset
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Published license: MIT
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### Nemotron-3-Nano-RL-Training-Blend
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Source: NVIDIA
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Repository:
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https://huggingface.co/datasets/nvidia/Nemotron-3-Nano-RL-Training-Blend
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Published license: ODC-BY 1.0
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README.md
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---
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license: apache-2.0
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task_categories:
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- text-generation
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language:
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- en
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pretty_name: Domyn Edge Teacher Math Mix
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size_categories:
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- 10K<n<100K
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tags:
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- domyn
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- domyn-edge
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- teacher
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- math
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- grpo
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configs:
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- config_name: rl
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data_files:
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- split: train
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path: data/rl/train-*.parquet
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- split: test
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path: data/rl/test-*.parquet
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---
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<p align="center">
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<picture>
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<source media="(prefers-color-scheme: dark)" srcset="https://cdn.prod.website-files.com/682dcb35e7fd7a313cae803a/6835cb0fb6bd22a7cba7d645_domyn-logo-payoff-primary-white.svg">
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<img alt="Domyn" src="https://cdn.prod.website-files.com/682dcb35e7fd7a313cae803a/6835ca86622d317630fa3861_domyn-logo-primary.svg" width="400">
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</picture>
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</p>
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# Domyn Edge Teacher Math Mix
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> [!IMPORTANT]
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> **Phased release.** Domyn Edge is a rolling release in three bundles. This dataset is part of the
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> second bundle, together with the domain teachers and their post-training data. For an overview,
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> see the [launch blog post](https://domyn.webflow.io/blog/domyn-edge-compact-model-open).
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The training data of [Domyn Edge Teacher Math](https://huggingface.co/domyn/Domyn-Edge-Teacher-Math),
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in one config:
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| Config | Stage | Train | Test |
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|---|---|---:|---:|
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| `rl` | GRPO, math problems with a verifiable final answer | 20,153 (2.96M tokens) | 815 (0.11M tokens) |
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## `rl`: GRPO problems
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Math problems with a single verifiable final answer. The final answer in the
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response is checked against `reward.ground_truth.answer` with math-verify. Each
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prompt carries a system message that asks for the final answer in `\boxed{}` or
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on a final `ANSWER: $ANSWER` line.
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| Source | License | Train rows | Train tokens | Test rows | Test tokens |
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|---|---|---:|---:|---:|---:|
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| [DeepScaleR-Preview-Dataset](https://huggingface.co/datasets/agentica-org/DeepScaleR-Preview-Dataset) | MIT | 10,508 | 1.42M | 421 | 0.05M |
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| [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 |
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| **Total** | | **20,153** | **2.96M** | **815** | **0.11M** |
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Tokens are prompt tokens, as in the `token_length` column. The 4,606 train rows that ask for an
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`ANSWER:` line are copies of other train rows; `metadata.augmented_from` names the original.
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## Decontamination
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Before training, the problems were decontaminated against the benchmarks we evaluate on: AIME 2024,
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AIME 2025, AIME 2026, HMMT February 2025, HMMT February 2026, GSM8K, MGSM (de, en, es, fr),
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GPQA Diamond, IMO-AnswerBench, IMO-ProofBench and LiveBench (math). This removed 22 train and 2 test problems. The `ANSWER:` copies were made afterwards, from
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the remaining problems.
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## How to use
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```python
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from datasets import load_dataset
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rl_train = load_dataset("domyn/Domyn-Edge-Teacher-Math-Mix", "rl", split="train")
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rl_test = load_dataset("domyn/Domyn-Edge-Teacher-Math-Mix", "rl", split="test")
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```
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## Columns
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| Column | Type | Description |
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|---|---|---|
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| `messages` | list | The prompt: `role` and `content` of each message (the other message fields are null). |
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| `tools` | string | Always null in this config. |
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| `task` | string | Task family. |
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| `source` | string | Upstream dataset. |
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| `license` | string | License of the upstream record. |
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| `metadata` | string | JSON-encoded upstream metadata. |
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| `reward` | string | JSON-encoded reward data: `ground_truth` and the scoring `style`. Here `ground_truth.answer` is the reference final answer. |
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| `token_length` | int | Prompt length in tokens. |
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| `uuid` | string | Record identifier. |
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To train with NeMo-Gym, as we did, map each row to the `math_with_judge_simple_agent` input:
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`responses_create_params.input` = `messages`; `question` = `reward.ground_truth.question`, or the
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user message when absent; `expected_answer` = `reward.ground_truth.answer`; `agent_ref` =
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`{"type": "responses_api_agents", "name": "math_with_judge_simple_agent"}`.
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## License
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Our contributions to this dataset, including the curation and the mix composition, are released
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under the Apache License 2.0. Upstream datasets keep their original license terms. Read
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[ATTRIBUTION.md](ATTRIBUTION.md) before redistributing any part of this data.
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## Citation
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```bibtex
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@misc{domyn_edge_teacher_math_mix_2026,
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title = {Domyn Edge Teacher Math Mix},
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author = {Domyn},
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year = {2026},
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note = {Technical report, forthcoming in November 2026.},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/domyn/Domyn-Edge-Teacher-Math-Mix}
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}
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```
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version https://git-lfs.github.com/spec/v1
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oid sha256:377484bb7ae081ff28d7f8af78868c5a6ccb9b07445b7c48af486c75e9cc797b
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size 230656
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data/rl/train-00000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ee9c8df0c69e566e4401690c981f3e54ec468e6b3113c75eb0e2fc90ee06bcf
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size 5615158
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