MOBIUSI INCThis dataset contains synthetic text events covering lane advances, minion engagements, lane clearing, and interactions with defensive towers in mobile MOBA games. Structured fields capture the pre-event state, event category, resulting state, and transition summary, including changes in minion survival, lane position, and push status. It supports training models to predict the next state from an event and its preceding state, as well as evaluating structured reasoning about lane evolution. The content focuses on lane mechanics rather than hero combat or map objectives.
Overview
Preview
Schema
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| event_text | string | Original synthetic event text describing a lane advance, minion engagement, lane clearing, or defensive tower interaction. |
| next_state | object | The next lane state inferred from the event text and the pre-event state. |
| initial_state | object | The state of both sides' lanes before the event, including minion survival, lane phase, push status, and defensive tower interaction status. |
| event_category | string | The primary lane evolution category inferred from the event text. |
| transition_summary | string | A brief explanation of how the event changes minion survival, lane position or phase, push status, or defensive tower interaction status. |
Trust
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
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@dataset{Mobiusi2026,
title={Mobile MOBA Lane State Transition Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/5bea8157dd5350a28576d85e239d36f3?dataset_scene_id=17},
urldate={2026-10-19},
keywords={MOBA lane dataset,lane state transitions,mobile MOBA training data,game event data,structured output SFT,lane push modeling,synthetic text data,game state prediction},
version={1.0}
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