| | ---
|
| | license: mit
|
| | task_categories:
|
| | - text-generation
|
| | - fill-mask
|
| | language:
|
| | - en
|
| | tags:
|
| | - stem
|
| | - science
|
| | - math
|
| | - physics
|
| | - biology
|
| | - education
|
| | pretty_name: Palladium STEM Preview
|
| | size_categories:
|
| | - 10K<n<100K
|
| | ---
|
| |
|
| | # ⚛️ Palladium-STEM (Preview): High-Density Scientific Corpus
|
| |
|
| | > **"The Top 0.17% of the Open Web."**
|
| |
|
| | ## Overview
|
| | This dataset is a **25,000-document preview** of the upcoming **Palladium-V2 STEM Corpus**. It represents the "Platinum Tier" survivors from a pool of **14.8 million scanned documents**, selected for high information density, academic rigor, and reasoning capability.
|
| |
|
| | ## The "Goldilocks" Methodology
|
| | Unlike standard web scrapes, this data was processed using a custom GPU-accelerated refinery:
|
| | 1. **CPU Gatekeeper:** Filters for academic structure, citations, and mathematical notation (LaTeX, proofs, algorithms).
|
| | 2. **GPU Classifier:** A BERT-based educational model scores every document on pedagogical quality.
|
| | 3. **The Result:** A **0.17% yield rate**. We rejected 99.83% of the content to leave only high-grade signal.
|
| |
|
| | ## Data Provenance
|
| | * **Sources:** High-authority domains including `phys.org`, `wikipedia.org`, `newscientist.com`, `betterlesson.com`, and university domains (`.edu`).
|
| | * **Content:** Hard sciences (Physics, Chemistry), Mathematics (Proofs, Logic), Computer Science (Algorithms), and Academic Curriculum.
|
| | * **Quality:** Average educational score of **3.78 / 5.0** (vs. standard web average of <1.5).
|
| |
|
| | ## Usage
|
| | This preview is intended for:
|
| | * Pre-training LLMs on high-quality reasoning data.
|
| | * Fine-tuning models for STEM tasks.
|
| | * Evaluating data quality filters.
|
| |
|
| | ## Full Dataset (Coming Soon)
|
| | The full Palladium-V2 corpus (targeting 5M+ documents / 5B+ tokens) is currently mining.
|
| | **[Contact us for early access]**
|
| |
|
