Dataset Viewer
Auto-converted to Parquet Duplicate
embedding
list
pos_agent
list
episode_idx
int32
1
10k
step_idx
int32
0
100
source_row_index
int64
112
921k
analysis_split
stringclasses
2 values
[ -0.5669237375259399, -0.768869936466217, -0.08735378086566925, 0.888224720954895, 1.1144742965698242, 0.11908480525016785, -1.8293436765670776, -0.18547561764717102, 0.31867119669914246, 1.052749514579773, 0.8072307109832764, -2.433474063873291, -0.6567960381507874, -0.05488236993551254, ...
[ 150.34906005859375, 84.46940612792969 ]
1
51
112
test
[ -0.18164624273777008, -2.178184747695923, 0.9161850810050964, -0.26115942001342773, -0.6063290238380432, -1.6842337846755981, -0.16235752403736115, -0.500889778137207, -0.93107670545578, 1.9958776235580444, 0.1957104206085205, -0.16531838476657867, 0.2950552999973297, -1.6063698530197144, ...
[ 68.33209991455078, 182.221923828125 ]
2
10
149
train
[ -0.8614588975906372, -1.945983648300171, 1.0548163652420044, 0.25547167658805847, 0.2990375757217407, -0.6651316285133362, -0.18955935537815094, -0.5252746343612671, -1.8570259809494019, 1.812838077545166, -0.7260056734085083, -0.9199275970458984, -0.20968055725097656, -0.5238493084907532,...
[ 74.46664428710938, 198.5950927734375 ]
4
2
310
train
[ -0.4467378556728363, -1.8531967401504517, 1.3646677732467651, 0.907816469669342, 0.3006044030189514, -0.5214250683784485, -0.10058332979679108, -0.7685660123825073, -2.2538468837738037, 2.3616650104522705, -0.9563769102096558, -0.6554855108261108, -0.17729711532592773, 0.16326865553855896,...
[ 79.32101440429688, 189.6225128173828 ]
5
22
424
train
[ 0.870851457118988, 0.004685285501182079, -0.7250004410743713, 1.4038066864013672, -0.7690262794494629, 0.013584615662693977, 0.05634501203894615, -0.10710339993238449, -1.4155430793762207, 0.2619447410106659, 1.4228159189224243, -0.08118700236082077, -0.61215740442276, 1.930525541305542, ...
[ 80.769775390625, 106.4139404296875 ]
5
58
460
train
[ -0.0056981234811246395, 0.4458976089954376, -0.960276186466217, -1.5662366151809692, -2.1959095001220703, -2.5622692108154297, -0.8271082043647766, -0.09059257805347443, 1.4711472988128662, -0.583372175693512, 2.243250846862793, 0.9170011878013611, -0.25700145959854126, -0.3976807892322540...
[ 66.5401840209961, 81.57728576660156 ]
7
30
632
train
[ -1.0997512340545654, 0.19092226028442383, 0.7222205996513367, 0.9038577079772949, -0.5988646745681763, 1.087205410003662, -1.6035341024398804, -1.690341591835022, 0.38138347864151, -0.18430106341838837, 1.632498860359192, -0.2114463448524475, 0.984224796295166, 0.33936503529548645, 0.761...
[ 144.36892700195312, 98.50100708007812 ]
7
69
671
train
[ -2.5815858840942383, -0.4649762511253357, -0.07105588912963867, -0.5434812307357788, 0.17652763426303864, 1.3339686393737793, -0.9580999612808228, 1.5734554529190063, -0.949323832988739, 1.1121405363082886, -0.13000273704528809, -0.6052154898643494, -1.4615859985351562, -2.5262229442596436...
[ 116.0087890625, 52.29338073730469 ]
9
36
840
train
[ -0.024595264345407486, 0.527851402759552, 0.116988904774189, -0.6870586276054382, -2.615286111831665, -0.4293789863586426, -1.550514578819275, -0.21536117792129517, -0.17914597690105438, -1.2774674892425537, 0.9765843152999878, -0.40816277265548706, -0.9967601895332336, -1.688195824623108,...
[ 168.32183837890625, 63.131988525390625 ]
12
42
1,048
train
[ -0.4851855933666229, -0.7851656675338745, -0.4664769768714905, 2.4488470554351807, 0.2698359191417694, 0.030476365238428116, -0.33404475450515747, -0.23834963142871857, -1.3120187520980835, -0.11984473466873169, -0.726932942867279, 0.5171952247619629, -0.3008034825325012, 0.072267785668373...
[ 102.5914077758789, 50.506168365478516 ]
13
19
1,126
train
[ 0.9882845878601074, 0.9126861095428467, 1.4570879936218262, 0.9031175374984741, 1.912185788154602, 0.19711560010910034, 1.6559748649597168, -1.4664356708526611, -0.607208251953125, 0.36383286118507385, 1.2312442064285278, 0.7027462124824524, -0.6005300283432007, 0.9333111047744751, 0.122...
[ 45.643035888671875, 88.11046600341797 ]
14
13
1,162
train
[ 1.4083209037780762, 1.484652042388916, -1.5106562376022339, -0.9255140423774719, -0.33054569363594055, 0.26675817370414734, -0.8397706151008606, -0.4842170476913452, -1.4390320777893066, -0.3161834180355072, 0.6047219038009644, 0.10984908044338226, -0.4032348096370697, 1.0012611150741577, ...
[ 132.24085998535156, 98.5008544921875 ]
15
89
1,339
train
[ 0.4327186346054077, 0.5818093419075012, 1.2090529203414917, -0.5162823796272278, 0.3945068120956421, -2.1328072547912598, -1.1183091402053833, -0.23318159580230713, -1.6910556554794312, 0.434130996465683, -1.0898983478546143, -0.6022266745567322, 0.29713988304138184, 0.8880309462547302, ...
[ 85.04887390136719, 44.578330993652344 ]
18
35
1,587
train
[ -0.622814953327179, 0.8858255743980408, -0.021329503506422043, 0.33504852652549744, 0.5831466913223267, 0.6093433499336243, -0.615233302116394, 0.19040969014167786, 0.5427466034889221, 1.0045918226242065, -0.7377133369445801, -0.20602628588676453, 0.8925495147705078, 0.3958558440208435, ...
[ 112.1190185546875, 58.95189666748047 ]
18
59
1,611
train
[ -0.4371597468852997, -0.6499258279800415, -0.9724448323249817, 0.41587597131729126, 0.58990877866745, 0.12398099154233932, -0.2823718786239624, -0.6683241128921509, -0.09470295906066895, -1.320045828819275, -0.5458219051361084, -0.06915204226970673, -0.3031235635280609, 0.7794341444969177,...
[ 153.66082763671875, 154.40098571777344 ]
20
17
1,771
test
[ -0.1817907989025116, -1.1751031875610352, -1.9380617141723633, 0.07008328288793564, -0.8940807580947876, -0.2710871398448944, -0.4281003773212433, -0.5998764634132385, -0.4070747196674347, 0.25576189160346985, -0.3002304434776306, 1.017546534538269, -1.073671579360962, -1.6578255891799927,...
[ 140.05894470214844, 141.49497985839844 ]
20
29
1,783
test
[ -0.054061807692050934, -1.0622594356536865, 0.25937917828559875, 1.735636591911316, -0.43476662039756775, -0.18373723328113556, 1.0552524328231812, 0.8192955255508423, -1.8156766891479492, -0.3770076632499695, 0.2930118441581726, 0.5087705254554749, -1.3725448846817017, 0.07557710260152817...
[ 106.51720428466797, 53.30487060546875 ]
21
96
1,951
train
[ 0.3504468500614166, 1.2715400457382202, 0.12582187354564667, 0.77652508020401, -0.7520807981491089, 1.3592596054077148, 0.26260095834732056, 1.024422526359558, -2.0642101764678955, 0.7696909308433533, 0.14531216025352478, -0.5568803548812866, 0.9640676379203796, -0.5649218559265137, 0.08...
[ 131.05897521972656, 75.88351440429688 ]
22
39
1,995
test
[ -0.7062253355979919, -0.1969640851020813, 0.35508474707603455, 0.936305820941925, -0.3434819281101227, 0.9682713150978088, 0.6359589695930481, 0.06055743247270584, 0.871242344379425, -0.5950774550437927, -0.9485669732093811, -0.439348965883255, 0.6044501066207886, -0.6825471520423889, 0....
[ 72.46920776367188, 58.11675262451172 ]
25
31
2,259
train
[ 0.306206613779068, 0.18409356474876404, -0.3251049220561981, -1.3632056713104248, 0.19843384623527527, -0.3351159989833832, -1.2963780164718628, -1.2587555646896362, 0.48020339012145996, -0.5357891917228699, 0.90619957447052, -0.17886893451213837, -0.16730725765228271, -1.5683963298797607,...
[ 101.16677856445312, 59.097938537597656 ]
26
48
2,365
train
[ -0.04685137793421745, -1.073142170906067, -2.4614715576171875, 1.484246015548706, -0.3262427747249603, 0.33514004945755005, 0.32817375659942627, 0.5398393273353577, 0.9394277930259705, 0.587459921836853, 1.3962314128875732, -0.4668484628200531, -1.182408094406128, 0.23458075523376465, 0....
[ 135.89422607421875, 68.04325103759766 ]
26
65
2,382
train
[ -0.9521986842155457, -0.8997846841812134, 1.3636964559555054, 1.6848567724227905, 1.5350589752197266, -0.027221450582146645, -0.32883888483047485, 1.428217887878418, -0.3509048521518707, 0.9927408695220947, 0.00010285526514053345, -0.7987556457519531, -0.7071991562843323, 0.204242408275604...
[ 33.86763381958008, 150.5479278564453 ]
28
15
2,534
test
[ 0.5099874138832092, 1.231005311012268, 1.8551419973373413, 1.0711842775344849, 1.681556224822998, 0.28777003288269043, 2.115741014480591, -0.7137869596481323, -0.10328222811222076, 1.2184666395187378, 1.4245768785476685, 0.7620580792427063, 0.0019653947092592716, 0.8086702823638916, 0.21...
[ 35.08311080932617, 90.2996597290039 ]
28
54
2,573
test
[ 1.5966156721115112, 0.7314472794532776, 0.002930739428848028, -0.8332671523094177, 0.03487395495176315, -0.22798345983028412, 1.7378278970718384, 2.727379083633423, -0.5920220613479614, 0.19123908877372742, -0.9106600284576416, 1.1610922813415527, 2.7051563262939453, 0.8866527676582336, ...
[ 156.5103302001953, 123.33303833007812 ]
30
19
2,740
train
[ 0.8515448570251465, 0.0651145800948143, -0.22795571386814117, 0.15681728720664978, -0.11154141277074814, 0.382731556892395, -0.4974294900894165, -0.11888139694929123, -0.00007192138582468033, -0.06619855761528015, -0.5914835929870605, 0.6503627300262451, 1.1708040237426758, 0.8507823348045...
[ 124.5, 67.69110870361328 ]
32
59
2,934
train
[ 0.8882548809051514, -0.5041195750236511, 0.8680189847946167, 1.4761337041854858, -0.5863285064697266, 0.7800252437591553, 1.3430887460708618, 0.0979587733745575, 0.1948002129793167, -0.9188812971115112, 0.2083887904882431, 0.43042805790901184, -0.8817000985145569, 0.05746092274785042, -0...
[ 97.39574432373047, 63.26719665527344 ]
32
71
2,946
train
[ 0.4695107638835907, -0.8503168821334839, 0.8705390691757202, 0.9410029649734497, -0.9713643789291382, -1.2684235572814941, -0.3980189561843872, -0.27076005935668945, 0.8786953687667847, -1.9358892440795898, -0.5818601846694946, -0.7780524492263794, -0.9067151546478271, -1.9092726707458496,...
[ 182.07965087890625, 55.374176025390625 ]
34
85
3,112
train
[ -0.7285719513893127, -0.9858304262161255, -0.8360543251037598, 0.18529252707958221, -1.3264538049697876, 0.37743815779685974, 0.6269658803939819, 0.602083683013916, 1.4113855361938477, -1.2552533149719238, 0.18618382513523102, -0.234013170003891, -1.1675812005996704, 2.782081127166748, -...
[ 64.01113891601562, 70.04889678955078 ]
35
58
3,171
test
[ 0.8401384949684143, 0.3770495653152466, 1.00407874584198, 0.9706947803497314, 1.6961897611618042, 0.13172262907028198, 1.2035722732543945, -1.4117637872695923, -0.8371346592903137, -0.404113233089447, 0.9820839166641235, 0.3953693211078644, -0.9221493601799011, 1.1225662231445312, 0.2663...
[ 49.011138916015625, 85.04889678955078 ]
35
61
3,174
test
[ 1.3523808717727661, 0.5698466897010803, 0.6385498642921448, 0.011239783838391304, -0.9481490254402161, 2.0771102905273438, 0.5551800727844238, -1.8169701099395752, 0.09710366278886795, 0.990822970867157, 0.533912718296051, 0.48511579632759094, -0.6943144202232361, 0.7000859379768372, 1.0...
[ 43.23289489746094, 105.04889678955078 ]
35
67
3,180
test
[ -0.10469826310873032, -0.313516765832901, 2.264456033706665, 0.7422058582305908, 1.2081509828567505, 0.7622772455215454, -0.6206938028335571, -0.8699393272399902, 0.5702632069587708, -0.586505115032196, 0.907059371471405, 0.4197092354297638, 2.3429086208343506, -1.1897999048233032, 1.057...
[ 132.84205627441406, 41.502994537353516 ]
36
36
3,222
train
[ 0.4835166931152344, 0.9946515560150146, 0.696488082408905, 1.0389982461929321, -2.4406473636627197, 0.8199116587638855, -1.9453949928283691, -1.1154876947402954, 0.13374115526676178, -0.30931606888771057, 1.9892891645431519, 1.626440167427063, 0.34903982281684875, 0.3863435387611389, 1.0...
[ 68.00325012207031, 131.92849731445312 ]
38
5
3,385
train
[ -0.045930132269859314, -2.013991594314575, 0.7222509384155273, 0.07718169689178467, 2.0592048168182373, -0.7392986416816711, 1.843846082687378, -0.021491708233952522, 0.18116597831249237, 0.1842888593673706, -0.49477657675743103, -1.3403342962265015, -0.19479678571224213, -0.29359060525894...
[ 43.724491119384766, 72.0028305053711 ]
41
13
3,662
train
[ 1.009989619255066, -0.3522224724292755, 0.1750393956899643, 0.7064186930656433, -1.0951862335205078, -0.8293222784996033, 0.12068618834018707, -0.4492543637752533, 0.3414257764816284, -0.5481621026992798, 1.6532212495803833, 0.4851870834827423, -0.519885778427124, 1.099974513053894, -0.5...
[ 58.61505126953125, 162.60806274414062 ]
42
10
3,747
test
[ 0.6975541114807129, -0.4977341592311859, 0.40273502469062805, 0.07102540135383606, -0.40372416377067566, -1.194159984588623, 0.009844310581684113, -0.6573554277420044, 0.6373064517974854, -0.08587555587291718, 0.9648443460464478, -0.8498153686523438, -0.947361946105957, -1.1507383584976196...
[ 99.47850799560547, 57.117698669433594 ]
43
69
3,907
train
[ -2.4042043685913086, 0.6773216128349304, -0.26596856117248535, 0.4049220383167267, 0.2796313762664795, 1.812575340270996, 1.4104870557785034, -1.18916916847229, -0.8707994222640991, 0.8418021202087402, 0.606580913066864, 1.036240577697754, -0.5327690243721008, 0.8911921381950378, 1.17677...
[ 88.69931030273438, 59.492149353027344 ]
43
77
3,915
train
[ -0.31878212094306946, -0.9853999018669128, 0.944661021232605, -0.36063680052757263, -0.7395845651626587, 0.24061179161071777, 0.19363030791282654, 0.25134792923927307, -1.0263745784759521, 0.6973488926887512, -0.31517037749290466, -0.05933323875069618, 1.007344126701355, -1.211729526519775...
[ 72.06318664550781, 101.73506164550781 ]
44
20
3,959
train
[ 0.3733857572078705, 0.9953559637069702, -0.25298842787742615, 0.3547620475292206, -1.7105516195297241, 1.0839197635650635, -0.9781894087791443, 0.2935473322868347, -0.3920673131942749, -0.33347514271736145, -0.7193924188613892, 0.5187201499938965, 0.4101860821247101, 1.9648772478103638, ...
[ 87.25357818603516, 91.93215942382812 ]
44
27
3,966
train
[ -0.6279167532920837, 0.17617428302764893, -0.49311208724975586, -0.48253098130226135, -0.039484843611717224, -1.9106903076171875, -0.151031494140625, -0.9828515648841858, 0.9529515504837036, -0.534608781337738, 0.16741876304149628, 0.8507163524627686, -0.7222381234169006, 0.467382460832595...
[ 156.66769409179688, 100.86182403564453 ]
45
15
4,051
train
[ 0.9088684916496277, 0.7788739204406738, 0.21730844676494598, 0.08006133884191513, -1.4212126731872559, 2.171840190887451, 0.7615037560462952, -1.1998326778411865, 0.060580652207136154, 0.37861573696136475, 0.3010207712650299, -0.4957035481929779, -0.5530415773391724, 0.33230534195899963, ...
[ 43.08512496948242, 113.0294189453125 ]
46
43
4,160
test
[ 0.9360776543617249, -0.7943995594978333, -0.7490877509117126, -0.04429712891578674, -1.2434241771697998, 1.8435859680175781, 0.27018722891807556, -1.5136618614196777, -0.6667296290397644, 0.4762965738773346, -0.5891957879066467, 1.601517677307129, -1.1802715063095093, 0.8374764919281006, ...
[ 53.08512496948242, 107.41844177246094 ]
46
49
4,166
test
[ -0.29524996876716614, -0.03918196260929108, 0.1964741051197052, 0.7407746911048889, -0.809823215007782, 0.7564294338226318, 0.5865051746368408, 0.4916893243789673, 1.5508891344070435, -0.31530123949050903, -0.5329321622848511, -0.568132758140564, 1.0275311470031738, -0.6771768927574158, ...
[ 70.08541870117188, 57.57143783569336 ]
48
3
4,310
train
[ -1.0378379821777344, -0.6086505651473999, 0.7362585663795471, 1.7422174215316772, -0.9335549473762512, 0.20477385818958282, -0.6175101399421692, 0.3340350389480591, -1.152139663696289, -1.0366053581237793, -0.9703342318534851, -1.1378707885742188, -0.03290996327996254, -1.2757301330566406,...
[ 178.8013916015625, 150.531494140625 ]
50
2
4,511
test
[ 1.5984054803848267, -0.9743767976760864, 1.4071727991104126, -0.8314160108566284, 0.7531220316886902, 0.5175741314888, -0.136561781167984, 0.4584629535675049, 0.31619465351104736, 1.8772921562194824, -1.5666625499725342, 1.250162959098816, 1.214290976524353, -0.182120680809021, -0.693453...
[ 193.43576049804688, 88.86370086669922 ]
51
3
4,560
train
[ 0.617157518863678, -0.04071811959147453, 1.800546407699585, -0.3585144281387329, -0.7058928608894348, 0.020320389419794083, 0.24615919589996338, -0.4734368324279785, -1.305380940437317, -0.3339371681213379, -0.6292115449905396, 0.513843834400177, 0.7325165271759033, -1.4530109167099, 0.4...
[ 130.92092895507812, 33.70207595825195 ]
51
40
4,597
train
[ -0.8454640507698059, 0.7683379054069519, 1.7103841304779053, 0.627064049243927, -1.9587836265563965, -0.6642385125160217, -0.48179492354393005, 0.3890618085861206, 0.5741662383079529, 0.4739494323730469, -0.655911386013031, -1.7424641847610474, -0.5208254456520081, 0.06317560374736786, -...
[ 115.0776596069336, 62.12862014770508 ]
51
65
4,622
train
[ -0.7134853601455688, 1.123935341835022, 0.1868898719549179, 1.367526888847351, -0.6694819927215576, 1.3514289855957031, -1.7624040842056274, -2.009147882461548, 0.3693011701107025, 1.136670470237732, 1.2518945932388306, 1.2640552520751953, 0.1789390742778778, 0.8336688280105591, -0.04370...
[ 71.52413177490234, 119.84488677978516 ]
51
99
4,656
train
[ 0.4564119577407837, 1.2549177408218384, 0.5741101503372192, 0.286917507648468, -0.8095028400421143, 1.8879352807998657, 0.5660467147827148, -0.8281174898147583, 0.4267219007015228, 0.743144690990448, 0.5870610475540161, -1.2889922857284546, -0.2865409553050995, 0.4376048743724823, 1.0221...
[ 37.32951736450195, 115.39405822753906 ]
52
14
4,672
train
[ 0.3736601769924164, 1.0058810710906982, -0.41923725605010986, 0.3198469877243042, -0.8070278763771057, 0.804671049118042, -0.8913179636001587, 0.13510552048683167, -0.5903406143188477, -0.5699824094772339, -0.5073326826095581, 0.37222322821617126, 0.6362226605415344, 1.8873436450958252, ...
[ 87.64891815185547, 90.06011199951172 ]
52
79
4,737
train
[ 0.3194838762283325, -0.4710109233856201, 1.0041059255599976, 0.38603678345680237, 0.23698490858078003, 1.433866024017334, 1.7043870687484741, 0.06577616184949875, 1.0338054895401, 0.6107988357543945, 0.11377847194671631, -0.5234786868095398, 1.812030553817749, -0.5477843284606934, -0.019...
[ 104.24485778808594, 40.00806427001953 ]
53
12
4,771
train
End of preview. Expand in Data Studio

TwoRooms LeWM Embeddings

This dataset contains 8192 frozen 192-dimensional image embeddings sampled from fracapuano/lewm-tworooms and encoded with the official quentinll/lewm-tworoom checkpoint. It was produced for linear position-decoding and unsupervised representation-sparsity analyses.

The repository is intentionally lightweight: it contains embeddings and labels, not source observation images.

Fields

Field Type Description
embedding float32[192] Projected CLS-token embedding from the frozen LeWM image encoder.
pos_agent float32[2] Agent x/y position associated with the source frame.
episode_idx int32 Zero-based episode index in the source dataset.
step_idx int32 Zero-based step index within the source episode.
source_row_index int64 Global row index in the source dataset revision.
analysis_split string Reserved episode-disjoint train or test assignment for downstream analysis.

Provenance

  • Source dataset revision: a6dc0810c55cffb74500906735fa6e9ac323810c
  • Model revision: 77adaae0bc31deab21c93740d1f8bb947cd0bdec
  • Random sampling seed: 1729
  • Source rows: 920809
  • Sampled rows: 8192
  • Unique sampled episodes: 5571
  • Encoder preprocessing: ImageNet normalization and 224 x 224 resize
  • Embedding: final projected image-encoder CLS token, before temporal prediction

The published train split contains all 8192 sampled records. The analysis_split column provides an episode-disjoint 6144/ 2048 split for probe validation.

Reproduction

The extraction and JAX analysis scripts live in the accompanying WorldLens research workspace under experiments/tworoom_position_smearing/.

Dataset repository: fracapuano/tworooms-embeddings

Downloads last month
43