entity stringlengths 3 47 | primes stringlengths 4 1.2k ⌀ | embedding stringlengths 22.6k 22.8k |
|---|---|---|
hot spring(s) | spring,inns,located in the administrative territorial entity,public bath in japan,facilities,street address,has facility,temperature,fee,japanese hot spring and its associated bathing facilities and inns,phone number,country,bathing,hot springs of japan,spa,open days,mineral spring | [-0.02322094887495041, 0.023217901587486267, -0.009182911366224289, -0.04145162180066109, 0.0020542226266115904, 0.004722085781395435, 0.021673718467354774, 0.011880998499691486, 0.01591193489730358, 0.05214427039027214, 0.04165225476026535, 0.033831752836704254, 0.021780306473374367, -0.05581759288907051, -0.019138101... |
flat | unit,residence,apartment buildings,building part,self-contained housing unit occupying part of a building,part,housing,building,apartment building | [-0.017850209027528763, -0.00410206476226449, -0.02288808859884739, -0.007095757871866226, -0.02053953893482685, -0.012173936702311039, -0.0009160810150206089, 0.031553708016872406, 0.01505102775990963, 0.029219316318631172, 0.04487874358892441, 0.030636196956038475, -0.006671543698757887, -0.028311748057603836, -0.002... |
phosphate works | processing,phosphates, or selling phosphates,industry, processing,business of mining,business,mining,chemical industry | [-0.011990244500339031, -0.010169943794608116, -0.025519881397485733, 0.003426747163757682, -0.04487349092960358, -0.02075832709670067, -0.004043980035930872, 0.006929247640073299, 0.022262325510382652, 0.03523550555109978, 0.02863147296011448, -0.002960600657388568, 0.024968275800347328, -0.031230710446834564, -0.0263... |
field(s) | purposes,area of land used for agricultural purposes,land,fields,arable land,rural area,area | [-0.016598518937826157, 0.006747183855623007, 0.02133544348180294, -0.020677052438259125, -0.03642721474170685, -0.008062702603638172, 0.032139815390110016, 0.017679406329989433, 0.011342882178723812, 0.039673272520303726, 0.028110120445489883, -0.015768159180879593, 0.02289433777332306, -0.018959611654281616, 0.002888... |
icecap dome | a comparatively elevated area on an icecap,icecap,area | [-0.00632453290745616, 0.010839623399078846, -0.0017513529164716601, -0.02082492597401142, -0.005805041640996933, 0.018026139587163925, 0.023221753537654877, 0.025509405881166458, 0.00033167836954817176, 0.049401573836803436, 0.0449368953704834, -0.0007181896944530308, 0.004726292099803686, -0.042660586535930634, 0.007... |
wall | defines,separation barrier, usually solid, that defines and sometimes protects an area,architectural structure,fencing structure,house,structure,walls,vertical structure,area,support,fortification,building | [-0.03427841514348984, -0.011837954632937908, -0.007605894468724728, 0.01892753876745701, -0.014572336338460445, -0.012504768557846546, 0.011965662240982056, 0.04061978682875633, 0.0061967927031219006, 0.049717977643013, 0.01526784710586071, 0.039906080812215805, -0.000678759126458317, -0.029413320124149323, -0.0365565... |
section of wadi | wadi,water area | [-0.029231548309326172, 0.027837319299578667, -0.009552658535540104, -0.01582946442067623, -0.029085038229823112, 0.007173685356974602, 0.010848800651729107, 0.03983577713370323, 0.015267020091414452, 0.03734526038169861, 0.026183079928159714, -0.02726825140416622, 0.0012205727398395538, -0.020964503288269043, -0.01627... |
temp work office | type,work,room,facility,offices,people,workplace,office,room where people perform office work | [-0.013639654964208603, -0.005153788719326258, -0.004706111270934343, -0.007299532648175955, -0.00598249351605773, -0.028082577511668205, 0.0035256927367299795, 0.012031563557684422, 0.005185813643038273, 0.036898110061883926, 0.03889917582273483, 0.027173006907105446, -0.0029679059516638517, -0.019932756200432777, 0.0... |
intermittent lakes | karst area,seasonal lakes of pivka,group of interconnected lakes | "[-0.03582056611776352, 0.010864040814340115, -0.009265778586268425, -0.004841347690671682, -0.03267(...TRUNCATED) |
maneuver area | "tract,exercises,human-geographic territorial entity,tract of land where military field exercises ar(...TRUNCATED) | "[-0.01975652389228344, 0.016831019893288612, -0.007792313117533922, 0.01260372344404459, -0.0230557(...TRUNCATED) |
End of preview. Expand in Data Studio
GeoNames Semantic Primes
Dataset Overview
We propose a dataset at the core of our semantic towers methodology which combines vectorized knowledge graph information to augment a Retrieval-and-Generation (RAG) pipeline.
Dataset Construction
The dataset is constructed by deriving and building the semantic tower - an ensemble of primitive semantic information related to a term - of 660 category classes related to geographical locations. These locations are themselves classified into 9 higher-level categories, e.g. H for stream, lake, and sea, and R for road and railroad and are derived from the original GeoNames dataset.
The semantic tower encompasses information gathered from Wikidata, specifically:
- label
- instance of
- subclass of
- part of
- represents
- description
This information forms the smallest subset of knowledge needed to distinguish a term from another.
Embeddings Generation
The vector embeddings are generated using the General Text Embeddings (GTE) large model.
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