Data · dataset · 2026
WiWorld-Real: A Real-World Multi-Modal Dataset for 6G Wireless World Models
Listed in ScienceDB
High-quality real-world data provide an essential foundation for the training, validation, and continuous evolution of models for intelligent 6G networks and wireless world models.
Description
However, existing wireless datasets are predominantly simulation-based or limited to a single modality, such as channel measurements or images, making it difficult to comprehensively characterize the relationship between physical environments and wireless propagation.
To address this limitation, WiWorld-RealData, a real-world multimodal wireless dataset for wireless world model research, is developed and released.Large-scale continuous measurements were conducted along 36 routes across the campus of Beijing University of Posts and Telecommunications. Multi-view images, panoramic images, LiDAR point clouds, millimeter-wave radar data, GNSS trajectories, and wireless channel impulse responses were synchronously collected at two industry-relevant frequencies, 3.7 GHz and 6.775 GHz.
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WiWorld-RealData features real-world measurements, diverse modalities, extensive spatial coverage, and a large data volume. Unified timestamps, spatial information, and file indices are provided to enable sample-level multimodal alignment and standardized data organization. The dataset can support wireless world and foundation model development, channel prediction, network planning and optimization, integrated sensing and communication, digital twins, and simulation and test validation, thereby facilitating the evolution of wireless intelligence toward general-purpose models driven by real-world data.
Owing to platform capacity constraints and data privacy protection requirements, the current release contains data from only four routes forming a single loop. The remaining data will be released progressively after de-identification. Before downloading and using the dataset, users are requested to complete the WiWorld-RealData Access Application via Wenjuanxing: v.wjx.cn/vm/wFCAEhU.aspx.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.40663 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Communications engineering 69% · Image 65% · Simulation 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.40663 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4006 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |