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Munich Urban Graph Network β 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
π 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 pathtone: 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")
π§© 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 β Chain-of-Thoughts Dataset},
year = {2025},
url = {https://huggingface.co/datasets/cagatayn/munich_graph_network}
}
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