Datasets:

cagataydev
/

neon-g1-diverse-50k

episode_index int64 0 50k	language_instruction stringlengths 11 45	scene_type stringclasses 10 values	actions stringlengths 2.85k 11.4k	length int64 8 31
0	open the cabinet and get pink sponge	kitchen	[[0.2239782214164734, 0.274025559425354, 0.1203112080693245, 0.08609558641910553, 0.20399348437786102, -0.03023393824696541, -0.04128706455230713, -0.23153795301914215, -0.09143615514039993, 0.10535284131765366, -0.33629804849624634, -0.02784099243581295, -0.03530975431203842, 0.056378237903118134, -0.17349112033843994...	23
1	stack nut on the glove	table	[[0.15138410031795502, 0.05210951715707779, -0.16276541352272034, -0.19124862551689148, 0.05991712212562561, -0.15780703723430634, 0.06528301537036896, -0.0574629008769989, 0.08007308840751648, 0.08774515986442566, -0.0515921376645565, 0.20219002664089203, -0.04500053822994232, 0.1930365413427353, 0.02155105397105217, ...	29
2	rearrange wrench and blue mug	shelf	[[-0.031871549785137177, 0.20757968723773956, 0.02987544983625412, 0.06860934942960739, 0.025960877537727356, -0.40688708424568176, 0.24067583680152893, 0.3145177960395813, 0.029649389907717705, 0.11008860170841217, 0.18521641194820404, 0.32292506098747253, -0.046444121748209, 0.040330614894628525, 0.020114881917834282...	25
3	sweep nut to the corner	floor	[[-0.21196556091308594, 0.17306672036647797, 0.0559769943356514, -0.1859029233455658, 0.26751023530960083, -0.11963526904582977, -0.07368262112140656, -0.23516370356082916, 0.014900336973369122, -0.20636065304279327, -0.10445403307676315, -0.3828912675380707, -0.19463416934013367, -0.05819180607795715, 0.22020803391933...	13
4	pour brown knife into a bowl	counter	[[-0.10462959855794907, -0.019553732126951218, -0.13338252902030945, -0.030123021453619003, -0.19276094436645508, -0.23033775389194489, -0.37362971901893616, -0.335340678691864, 0.2736988365650177, 0.2424849271774292, -0.3442721962928772, -0.14055266976356506, -0.081787109375, 0.23623333871364594, 0.1957916021347046, -...	28
5	organize the brown knife on the desk	desk	[[-0.03319024294614792, 0.11195269972085953, -0.5283658504486084, 0.2751290798187256, -0.04232650250196457, 0.29094022512435913, -0.07632769644260406, 0.37636035680770874, 0.33461105823516846, -0.21305419504642487, -0.41324469447135925, 0.08073851466178894, 0.020633095875382423, 0.1260475367307663, 0.1958690732717514, ...	11
6	hammer the orange bottle	workshop	[[-0.16393545269966125, 0.26342278718948364, -0.02566424570977688, 0.3546998202800751, -0.39232245087623596, 0.07662505656480789, 0.2528325319290161, 0.08716322481632233, 0.28309279680252075, -0.4176274538040161, -0.11819598823785782, -0.1771678477525711, 0.09417634457349777, 0.1083638072013855, 0.19416286051273346, 0....	11
7	place blue mug on the rack	bathroom	[[-0.2891400158405304, 0.20525698363780975, 0.20708733797073364, -0.024718644097447395, -0.22564862668514252, 0.3588155508041382, -0.014043884351849556, 0.1337064504623413, -0.10069949179887772, -0.28997811675071716, -0.18264207243919373, 0.11631950736045837, -0.2185276746749878, -0.19738899171352386, 0.276000171899795...	19
8	sort red cup by color	laundry	[[-0.0202865619212389, 0.013615560717880726, 0.08842101693153381, 0.17505531013011932, -0.22095364332199097, -0.08880625665187836, 0.13554967939853668, -0.17813614010810852, -0.09336632490158081, -0.3372719883918762, -0.3200545012950897, -0.009087038226425648, 0.19818511605262756, 0.10451299697160721, 0.387517303228378...	19
9	carry glass jar to the car	garage	[[-0.1641896367073059, 0.2133142352104187, -0.05424577370285988, -0.04871704429388046, -0.31838080286979675, -0.27895528078079224, -0.16598567366600037, -0.2046651691198349, -0.17465397715568542, -0.046278562396764755, 0.10465884208679199, 0.007648279890418053, 0.025309283286333084, 0.23447632789611816, -0.172843813896...	22
10	place wrench in the sink	kitchen	[[-0.10108954459428787, 0.171190544962883, 0.08313649147748947, 0.3499113619327545, 0.16412390768527985, -0.1902182549238205, 0.30137208104133606, -0.10291974246501923, -0.21919971704483032, 0.050326015800237656, 0.06331796199083328, 0.3068993091583252, 0.1705985963344574, -0.21907542645931244, 0.24709755182266235, -0....	27
11	push rubber duck to the center	table	[[0.17370693385601044, 0.15556742250919342, -0.29454290866851807, 0.1106048971414566, 0.1433427482843399, 0.20244388282299042, 0.07308489084243774, 0.09754585474729538, -0.1152944266796112, -0.3177418112754822, -0.20455992221832275, 0.08276395499706268, -0.008105886168777943, 0.012581848539412022, 0.11515824496746063, ...	31
12	pick brown knife from the top shelf	shelf	[[-0.02765590511262417, -0.12770666182041168, -0.31316205859184265, -0.08656436204910278, -0.26834118366241455, -0.14355142414569855, 0.027417806908488274, -0.04849959909915924, -0.21976330876350403, 0.09696651995182037, 0.1783391386270523, -0.12353933602571487, -0.1343873292207718, -0.17523832619190216, -0.21206429600...	13
13	pick up silver fork from the floor	floor	[[-0.1290452629327774, -0.253895103931427, -0.08589066565036774, 0.22569845616817474, -0.24426062405109406, -0.2622032165527344, 0.23091450333595276, 0.23170030117034912, 0.1338263303041458, 0.024429159238934517, 0.06245158240199089, 0.22048263251781464, -0.07619110494852066, -0.22035206854343414, 0.16186007857322693, ...	30
14	wrap the brown knife	counter	[[-0.2740391492843628, 0.07086066901683807, 0.06049933657050133, -0.2910471558570862, 0.01757834665477276, 0.020935915410518646, 0.38695982098579407, -0.1567167490720749, 0.2016996145248413, -0.1283126175403595, -0.17271362245082855, -0.14353813230991364, 0.02479696273803711, 0.45789003372192383, -0.30173370242118835, ...	11
15	hand over the soap bar	desk	[[0.03920575976371765, -0.11929383873939514, -0.15514717996120453, -0.1274331659078598, 0.08978696912527084, -0.11552151292562485, -0.13331636786460876, -0.1310001015663147, 0.17160581052303314, 0.10168838500976562, 0.038222260773181915, 0.12922923266887665, -0.17282192409038544, 0.14890813827514648, 0.0948565527796745...	9
16	tighten the black marker	workshop	[[0.1960447132587433, -0.12132710963487625, 0.19752250611782074, -0.17262640595436096, 0.023286432027816772, 0.23906123638153076, 0.0874253660440445, 0.33135321736335754, 0.0909712091088295, 0.2705707550048828, -0.17857728898525238, -0.1758202165365219, 0.11004066467285156, -0.22929465770721436, 0.13707832992076874, -0...	20
17	squeeze blue mug	bathroom	[[0.3444613814353943, -0.3279884457588196, 0.19430968165397644, 0.05895395949482918, 0.09751236438751221, 0.010808495804667473, 0.03522104024887085, -0.2755928039550781, -0.23982290923595428, -0.07886947691440582, -0.29921913146972656, 0.2254340946674347, -0.2446427047252655, 0.1635526418685913, 0.08350420743227005, 0....	25
18	sort spray bottle by color	laundry	[[-0.14531351625919342, -0.13473813235759735, 0.20637527108192444, -0.20442481338977814, -0.048963505774736404, -0.05888299271464348, 0.0875912681221962, 0.5043017864227295, 0.0027131601236760616, -0.25181078910827637, 0.11209909617900848, -0.25237157940864563, -0.05737784132361412, -0.059911489486694336, -0.0146129997...	23
19	stack white towel neatly	garage	[[-0.26523250341415405, 0.05966715142130852, 0.171381875872612, -0.07950171083211899, -0.2908543348312378, 0.047232259064912796, -0.1994842290878296, -0.15279258787631989, -0.12273401021957397, -0.169357568025589, -0.3479740023612976, 0.039520442485809326, 0.10981706529855728, 0.03635566681623459, -0.25511640310287476,...	22
20	place brown knife in the sink	kitchen	[[-0.10654599964618683, 0.283101350069046, -0.11561502516269684, -0.08875186741352081, 0.08726288378238678, -0.14533472061157227, -0.16985107958316803, -0.2642059326171875, 0.12482651323080063, 0.1482243686914444, -0.302338182926178, 0.051367681473493576, -0.2048407793045044, 0.2142539769411087, -0.23305454850196838, -...	14
21	flip the rubber duck over	table	[[-0.22661809623241425, -0.20730634033679962, 0.059926386922597885, -0.1959688812494278, -0.24046024680137634, -0.3039776682853699, -0.1510096937417984, -0.1556881219148636, 0.07203710824251175, 0.05600300431251526, -0.2131361961364746, -0.20529501140117645, -0.3559950888156891, 0.22029775381088257, -0.1802418231964111...	21
22	dust off the silver fork	shelf	[[-0.18167351186275482, 0.015165666118264198, 0.15082722902297974, -0.17607064545154572, -0.20413213968276978, 0.17552430927753448, -0.2741401791572571, 0.008523289114236832, -0.3485979735851288, -0.29402217268943787, 0.18399950861930847, 0.18833522498607635, -0.03227740153670311, 0.34997859597206116, 0.284234374761581...	24
23	step over pink sponge and grab silver fork	floor	[[-0.0736498236656189, -0.263952374458313, -0.280449777841568, -0.13062211871147156, -0.04349216818809509, -0.2213498204946518, 0.34772375226020813, 0.04145920276641846, 0.2990894317626953, -0.19167901575565338, -0.23457807302474976, -0.03742015361785889, 0.017141353338956833, 0.11977173388004303, 0.2100963294506073, -...	25
24	wrap the soap bar	counter	[[0.040444910526275635, -0.19639837741851807, 0.15079978108406067, 0.2701491117477417, -0.2446535974740982, 0.22126710414886475, 0.240736186504364, 0.0858554020524025, -0.1519828736782074, 0.03531010076403618, -0.15077514946460724, -0.010668174363672733, -0.0015134410932660103, -0.07405479997396469, -0.1130287945270538...	19
25	hand over the glove	desk	[[0.0483054481446743, 0.2537658214569092, 0.0643453598022461, 0.00025139222270809114, -0.06638771295547485, 0.02834451012313366, -0.09863150119781494, 0.1998523324728012, 0.18760962784290314, 0.1332852840423584, -0.4679574966430664, -0.1306963860988617, 0.06924842298030853, -0.19797253608703613, -0.0778898075222969, 0....	12

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neon-g1-diverse-50k

Multi-scene diversity — 50K episodes of synthetic 14-DoF joint trajectories for Neon VLA training.

Description

10 scenes × 34 objects — diverse manipulation across environments

Each episode contains:

language_instruction: Natural language task description
actions: JSON array of joint position trajectories (T × 14)
length: Episode length (timesteps)

Usage

import pyarrow.parquet as pq
table = pq.read_table("data.parquet")
df = table.to_pandas()
print(f"Episodes: {len(df)}, Columns: {list(df.columns)}")

Part of Neon VLA

Training data for Neon — open-source Vision-Language-Action model for humanoid whole-body control.

Total Neon dataset collection: 160K episodes across 8 datasets (~1.27GB)

Downloads last month: 30

Models trained or fine-tuned on cagataydev/neon-g1-diverse-50k

cagataydev/neon-flow-standalone-v1

Robotics • Updated 21 days ago