Datasets:
File size: 3,255 Bytes
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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.
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