| --- |
| language: |
| - en |
| - pt |
| license: agpl-3.0 |
| task_categories: |
| - text-generation |
| - question-answering |
| tags: |
| - mark-ai |
| - code |
| - systems-engineering |
| - kernel |
| - rust |
| - cpp |
| - ebpf |
| - robotics |
| - mechatronics |
| - synthetic-dpo |
| - reasoning |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train.parquet |
| --- |
| |
| # Mark Ultra-Curriculum: Systems, Kernel, Robotics & Epistemic Reasoning Dataset |
|
|
| The **Mark Ultra-Curriculum** is an open-source training dataset containing **4,821** high-density instruction-completion pairs designed for systems programming, low-level concurrency, robotics, STEM reasoning, and epistemic calibration. |
|
|
| - **License:** GNU Affero General Public License v3.0 (AGPL-3.0) |
| - **Primary Formats:** Apache Parquet (`data/train.parquet`) and JSON Lines (`data/train.jsonl`) |
| - **Origin:** The foundational training corpus of the Mark AI model ecosystem (Mark Engineer 1.5B/8B, Mark General 1.5B, MarkVL 2.2B). |
|
|
| --- |
|
|
| ## Dataset Taxonomy & Domain Breakdown |
|
|
| | Domain Identifier | Sample Count | |
| | :--- | :---: | |
| | `general_systems_engineering` | 3736 | |
| | `systems_rust_concurrency` | 722 | |
| | `academic_stem_reasoning` | 137 | |
| | `senior_tech_lead_dialogue` | 70 | |
| | `systems_cpp20_atomics` | 45 | |
| | `multimodal_dense_vision` | 42 | |
| | `cybersecurity_and_reversing` | 28 | |
| | `systems_linux_ebpf` | 21 | |
| | `robotics_and_mechatronics` | 14 | |
| | `epistemic_self_rag` | 5 | |
| | `systems_windows_kmdf` | 1 | |
| | **Total Unique Samples** | **4,821** | |
|
|
| ### Key Domain Descriptions: |
| 1. **`systems_linux_ebpf`:** BPF/XDP packet filters, kprobes, verifier bounded-loop invariants, zero-copy socket handling. |
| 2. **`systems_windows_kmdf`:** Kernel-Mode Driver Framework, IRQL separation (`PASSIVE` vs `DISPATCH`), IRP queuing, pool allocation safety. |
| 3. **`systems_rust_concurrency`:** Asynchronous Tokio runtimes, pin projection, cross-await deadlock avoidance, `Send`/`Sync` formal properties. |
| 4. **`systems_cpp20_atomics`:** C++20/C++23 coroutines, atomic memory orderings (`acquire`/`release`/`seq_cst`), lock-free ringbuffers. |
| 5. **`robotics_and_mechatronics`:** PID motor control, forward/inverse kinematics, CAN bus communication, PCB differential routing in KiCad. |
| 6. **`academic_stem_reasoning`:** Quantum mechanics (Hamiltonian systems), fluid dynamics (Navier-Stokes), chemical kinetics, clinical pharmacokinetics (ADME). |
| 7. **`epistemic_self_rag`:** Built-in `[UNKNOWN]` and `[WEB_SEARCH]` calibration pairs for identifying false premises and unanswerable queries. |
| 8. **`cybersecurity_and_reversing`:** Memory corruption mitigation (ASLR, DEP, CFI), ROP chain mechanics, ELF/PE parsing, disassembly analysis. |
| 9. **`senior_tech_lead_dialogue`:** Pragmatic engineering trade-offs, legacy system refactoring, empathetic architectural leadership. |
| |
| --- |
| |
| ## Data Structure |
| |
| Each record contains the following fields: |
| |
| ```json |
| { |
| "id": "mark_sample_000123", |
| "domain": "systems_linux_ebpf", |
| "source_curriculum": "v2_8b_extended_master", |
| "prompt": "<think>\n...\n</think>\nUser query...", |
| "completion": "<think>\n1. Technical step breakdown...\n</think>\nImplementation..." |
| } |
| ``` |
| |
| --- |
| |
| ## How to Load in Python |
| |
| ```python |
| from datasets import load_dataset |
| |
| # Load directly from Hugging Face Hub |
| dataset = load_dataset("miceworks/Mark-Ultra-Curriculum", split="train") |
| |
| print(dataset[0]) |
| ``` |
| |
| --- |
| |
| ## License & Distribution |
| |
| Released under the **GNU Affero General Public License v3.0 (AGPL-3.0)** to guarantee open accessibility, reproducibility, and copyleft sharing across the open-source machine learning research community. |
| |
