Upload README.md

README.md

@@ -1,45 +1,58 @@
 ---
-tags:
-- ml-intern
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  features:
-  - name: meta
-    dtype: string
-  - name: num_nodes
-    dtype: int64
-  - name: num_edges
-    dtype: int64
-  - name: nodes
-    dtype: string
-  - name: edges
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 70759
-    num_examples: 1
-  download_size: 17894
-  dataset_size: 70759
+language: de
+license: cc-by-4.0
+task_categories: [question-answering, text-generation]
+tags: [simson, moped, ddr, automotive, german, knowledge-graph, linked-data]
+pretty_name: Simson Unified Knowledge Graph
+size_categories: n<1K
 ---
 
-# jmp1987/simson-unified-knowledge-graph
+# 🧠 Simson Unified Knowledge Graph
 
-<!-- ml-intern-provenance -->
-## Generated by ML Intern
+**173 Nodes × 348 Edges** – der Klebstoff zwischen allen Simson-Datasets.
 
-This dataset repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub.
+## Was das ist
 
-- Try ML Intern: https://smolagents-ml-intern.hf.space
-- Source code: https://github.com/huggingface/ml-intern
+Ein maschinenlesbarer Graph, der alle 6 Datasets miteinander verknüpft:
 
-## Usage
+| Dataset | Status | Nodes |
+|---------|--------|-------|
+| racing-planet-simson-traces | Diagnose-Traces | 15 |
+| simson-forum-qa-pairs | Forum-Wissen | 30 |
+| simson-repair-manual | Technische Daten | 14 |
+| racing-planet-product-catalog | Teilekatalog | 37 |
+| simson-youtube-tutorials | Video-Tutorials | 20 |
+| simson-part-problem-matrix | Diagnose-Logik | 57 |
+
+## Edge-Typen
+
+| Relation | Anzahl | Bedeutung |
+|----------|--------|-----------|
+| `similar_to` | 228 | Forum-Threads mit gleichem Topic |
+| `has_cause` | 44 | Symptom → Ursache |
+| `fixed_by_part` | 38 | Ursache → Produkt |
+| `fixes_with` | 35 | Symptom → direktes Produkt |
+| `references` | 3 | Forum → Handbuch |
+| `demonstrates` | (weitere) | YouTube → Handbuch |
+
+## Verwendung
 
 ```python
 from datasets import load_dataset
+import json
 
-dataset = load_dataset('jmp1987/simson-unified-knowledge-graph')
+ds = load_dataset("jmp1987/simson-unified-knowledge-graph")
+graph = json.loads(ds["train"][0]["nodes"])
+edges = json.loads(ds["train"][0]["edges"])
+
+# Finde alle Teile für ein Symptom
+symptom_node = next(n for n in graph if n["label"].startswith("Motor springt"))
+related = [e for e in edges if e["source"] == symptom_node["id"]]
 ```
+
+## RAG-Integration
+
+Der Knowledge Graph erlaubt:
+1. **Hop-1 Retrieval**: Frage → Symptom-Node → verlinkte Produkte/Manual/Forum
+2. **Hop-2 Retrieval**: Frage → Symptom → Ursache → nötige Teile → Assembly-Deps
+3. **Cross-Dataset Retrieval**: Automatisches Finden relevanter Chunks aus allen Datasets