Datasets:

zbeeb
/

Skywork-OR1-Math-Verifiable-Dedup

	---
	task_categories:
	- text-generation
	pretty_name: "Skywork OR1 Math — Verifiable, Deduplicated"
	size_categories:
	- 10K<n<100K
	source_datasets:
	- Skywork/Skywork-OR1-RL-Data
	tags:
	- math
	- reinforcement-learning
	- deduplicated
	- math-verify
	configs:
	- config_name: default
	data_files:
	- split: train
	path: data/train.parquet
	---

	# Skywork OR1 Math — Verifiable, Deduplicated

	97,809 questions. Only parser-compatible references are included. Here, “verifiable” means every reference component parses with Math-Verify 0.8.0, with string fallback disabled. It does not mean that the answer has been independently proved correct or that grading model outputs is error-free.

	Skywork was processed independently: retain its math rows, clean them, deduplicate within Skywork, screen benchmark overlap and prompt leakage, then retain parser-compatible references. Shared questions with DeepScaleR remain in this dataset.

	## Preparation

	See [PREPARATION.md](PREPARATION.md) for normalization, duplicate thresholds, conflict handling, benchmark screening, parser filtering, and limitations. [The complete preparation and publication code](https://github.com/Moe-Zbeeb/staleness-analysis/tree/95f55c5e518588771db8d761879f306ae01465c2/experiments/exact-age-14b-data) is pinned to Git commit `95f55c5e518588771db8d761879f306ae01465c2`. `manifest.json` records counts and checksums; `source-revisions.json` pins the upstream snapshots.

	Only this filtered training pool is published. Raw inputs, rejected examples, benchmark questions, unfiltered pools, and models are not included.

	## Loading

	```python
	from datasets import load_dataset

	data = load_dataset("zbeeb/Skywork-OR1-Math-Verifiable-Dedup", split="train")
	```

	The `train` split names the complete released pool; it is not a precomputed train/validation partition. Split by shared question groups across datasets before comparing experiments.

	## Schema

	- `id`: SHA-256 of the representative normalized prompt.
	- `prompt`, `messages`: original representative question and its single user message.
	- `answers`: ordered reference components; do not assume these are alternative accepted answers.
	- `reference_answer_raw`: original source reference serialized as JSON.
	- `datasets`, `source`, `source_records`: memberships and provenance; `source_records` is serialized as JSON.
	- `verifiability`: parser-compatibility flags; independent label verification is false.

	Separate reference solutions are not appended to prompts. Explicit answer/solution section markers trigger conservative exclusion. Native model chat templates, generated responses, rewards, and reasoning-length restrictions are not embedded in this dataset.

	## Attribution and license

	The upstream datasets are [Skywork/Skywork-OR1-RL-Data](https://huggingface.co/datasets/Skywork/Skywork-OR1-RL-Data) and [agentica-org/DeepScaleR-Preview-Dataset](https://huggingface.co/datasets/agentica-org/DeepScaleR-Preview-Dataset), as applicable in `source-revisions.json`. DeepScaleR declares MIT; the pinned Skywork card does not declare a dataset license. This derivative does not assign a new license to upstream material. Preserve upstream attribution and consult the relevant source terms.