docs: publish Mark Ultra-Curriculum dataset card

README.md

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+---
+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.