README.md

metadata

license: mit

Munich Urban Graph Network — Chain-of-Thoughts Dataset

A high-fidelity, explainable dataset for urban graph reasoning and generative urban analytics in Munich.
Each entry represents a unique chain-of-thought (CoT) narrative, blending urban mobility, ecological perspective, zoning/policy context, and graph-theoretic features. Embedding: E5 Large

📂 Dataset Overview

• Format: JSONL (cots_50k.jsonl)
• Total entries: 50,000+
• Each entry contains:
  • id: Unique identifier for the CoT entry
  • document: Rich, human-readable narrative describing the path, its segments, the urban/ecological/policy context, and embedded graph statistics
  • metadata:
    • type: Always "cot" (for Chain-of-Thought)
    • source: Source node (city feature or network node, as numeric string)
    • target: Target node (city feature or network node, as numeric string)
    • path_length: Integer, number of graph hops in the described path
    • tone: Style of the narrative (e.g., "metaphorical", "analytical")
    • perspective: Narrative angle (e.g., "resident", "policy", "ecology")
    • keyword: Thematic or analytical tag for the entry (e.g., "urban heat", "green corridor")

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🧩 Example Entry

{
  "id": "cot_341_analytical_ecology_8a94565d",
  "document": "Between nodes 2272920565 and 392938983, 117 consecutive segments offer an analyzable corridor for urban heat. It covers 18534.6 meters. Segments: ... Habitat fragmentation risk noted at node 2272920565; a loose structure (clustering: 0.00) allowing flexible reconfiguration. Local reachability of 20 hops informs species corridor planning. The target node plays a stronger mediator role in routing dynamics (betweenness 0.00).",
  "metadata": {
    "type": "cot",
    "source": "2272920565",
    "target": "392938983",
    "path_length": 117,
    "tone": "analytical",
    "perspective": "ecology",
    "keyword": "urban heat"
  }
}

@dataset{nufer2025munichgraphcot,
  author = {Cagatay Nufer},
  title = {Munich Urban Graph Network — Chain-of-Thoughts Dataset},
  year = {2025},
  url = {https://huggingface.co/datasets/cagatayn/munich_graph_network}
}