Datasets:

najmulhasan
/

isometric-scenes

idx int64 0 1.6k	id stringlengths 10 10	split stringclasses 1 value	category stringclasses 8 values	prompt stringlengths 44 156	base_prompt stringlengths 44 156	distractor bool 2 classes	excluded_element stringclasses 64 values	excluded_element_type stringclasses 3 values	motion_in_prompt bool 2 classes	candidate_id int64 200 5.21k	spec_version stringclasses 1 value
0	train-0000	train	food_drink	a plate of golden pancakes stacked high, butter melting, steam rising gently	a plate of golden pancakes stacked high, butter melting, steam rising gently	false	null	null	true	200	2.12
1	train-0001	train	food_drink	an enamel mug of citrus tea on a wooden coaster, steam flickering like tiny flames	an enamel mug of citrus tea on a wooden coaster, steam flickering like tiny flames	false	null	null	true	203	2.12
2	train-0002	train	food_drink	a square plate of avocado toast with poached egg, yolk glistening, steam curling	a square plate of avocado toast with poached egg, yolk glistening, steam curling	false	null	null	true	204	2.12
3	train-0003	train	food_drink	an artisan croissant on a linen napkin beside a steaming cappuccino, foam bubbling	an artisan croissant on a linen napkin beside a steaming cappuccino, foam bubbling	false	null	null	true	205	2.12
4	train-0004	train	food_drink	a small skillet of scrambled eggs with herbs, steam curling, butter glistening	a small skillet of scrambled eggs with herbs, steam curling, butter glistening	false	null	null	true	208	2.12
5	train-0005	train	food_drink	a porcelain bowl of yogurt with granola, honey dripping, steam rising from a side cup of tea	a porcelain bowl of yogurt with granola, honey dripping, steam rising from a side cup of tea	false	null	null	true	210	2.12
6	train-0006	train	food_drink	a wooden plate with toasted bagel halves, cream cheese spreading, steam curling from a nearby espresso	a wooden plate with toasted bagel halves, cream cheese spreading, steam curling from a nearby espresso	false	null	null	true	212	2.12
7	train-0007	train	food_drink	an aluminum tray holding pancakes drizzled with maple syrup, steam rising, a digital clock blinking 07:30	an aluminum tray holding pancakes drizzled with maple syrup, steam rising, a digital clock blinking 07:30	false	null	null	true	215	2.12
8	train-0008	train	food_drink	a small dish of sliced fruit, dew droplets glistening, a soft breeze fluttering a napkin	a small dish of sliced fruit, dew droplets glistening, a soft breeze fluttering a napkin	false	null	null	true	216	2.12
9	train-0009	train	food_drink	an earthenware mug of chai tea, steam swirling, a spice sachet labeled "spice blend" nearby	an earthenware mug of chai tea, steam swirling, a spice sachet labeled "spice blend" nearby	false	null	null	true	217	2.12
10	train-0010	train	food_drink	an oval plate with french toast dusted in powdered sugar, steam curling, a butter knife glinting	an oval plate with french toast dusted in powdered sugar, steam curling, a butter knife glinting	false	null	null	true	219	2.12
11	train-0011	train	food_drink	a slice of lemon tart on a porcelain plate, steam rising from a fresh orange glaze	a slice of lemon tart on a porcelain plate, steam rising from a fresh orange glaze	false	null	null	true	220	2.12
12	train-0012	train	food_drink	a vanilla bean panna cotta in a glass jar, a thin ribbon of honey slowly dripping down the side	a vanilla bean panna cotta in a glass jar, a thin ribbon of honey slowly dripping down the side	false	null	null	true	228	2.12
13	train-0013	train	food_drink	a chocolate-dipped strawberry on a glass dome, condensation droplets sliding down the dome	a chocolate-dipped strawberry on a glass dome, condensation droplets sliding down the dome	false	null	null	true	232	2.12
14	train-0014	train	food_drink	a lemon sorbet glass on a marble countertop, a tiny hourglass slowly turning sand beside it	a lemon sorbet glass on a marble countertop, a tiny hourglass slowly turning sand beside it	false	null	null	true	235	2.12
15	train-0015	train	food_drink	a chocolate lava cake on a dark plate, a candle flame dancing and casting shadows	a chocolate lava cake on a dark plate, a candle flame dancing and casting shadows	false	null	null	true	236	2.12
16	train-0016	train	food_drink	a rose petal gelée in a clear cup, a gentle breeze moving a silk ribbon tied around the cup	a rose petal gelée in a clear cup, a gentle breeze moving a silk ribbon tied around the cup	false	null	null	true	238	2.12
17	train-0017	train	food_drink	a bamboo steamer basket containing dim sum dumplings and bok choy, with a tea kettle gently steaming and a candle flame flickering	a bamboo steamer basket containing dim sum dumplings and bok choy, with a tea kettle gently steaming and a candle flame flickering	false	null	null	true	245	2.12
18	train-0018	train	food_drink	a polished steel tray with sliced beef carpaccio, capers, and arugula, while a tiny digital clock's display blinks intermittently	a polished steel tray with sliced beef carpaccio, capers, and arugula, while a tiny digital clock's display blinks intermittently	false	null	null	true	254	2.12
19	train-0019	train	food_drink	a steaming mug of chai beside a wooden coaster and a small tin of biscuits	a steaming mug of chai beside a wooden coaster and a small tin of biscuits	false	null	null	true	260	2.12
20	train-0020	train	food_drink	an amber glass of lemonade with condensation droplets rolling down the side and a bowl of pretzel twists	an amber glass of lemonade with condensation droplets rolling down the side and a bowl of pretzel twists	false	null	null	true	261	2.12
21	train-0021	train	food_drink	an orange paper bag of popcorn spilling kernels while a handheld fan blows gentle breeze	an orange paper bag of popcorn spilling kernels while a handheld fan blows gentle breeze	false	null	null	true	267	2.12
22	train-0022	train	food_drink	a bamboo serving board with sliced cucumber sticks, a dip cup, and a candle flame flickering in the dusk	a bamboo serving board with sliced cucumber sticks, a dip cup, and a candle flame flickering in the dusk	false	null	null	true	268	2.12
23	train-0023	train	food_drink	a small wooden crate holding assorted dried apricots, a flickering lantern casting soft light, and a folded linen napkin	a small wooden crate holding assorted dried apricots, a flickering lantern casting soft light, and a folded linen napkin	false	null	null	true	271	2.12
24	train-0024	train	food_drink	a clear glass jar of caramel popcorn glistening, with a tiny motorized fan spinning slow mist	a clear glass jar of caramel popcorn glistening, with a tiny motorized fan spinning slow mist	false	null	null	true	273	2.12
25	train-0025	train	food_drink	an ivory mug of hot chocolate with marshmallows floating, steam puffing upward, and a tiny wooden spoon stirring	an ivory mug of hot chocolate with marshmallows floating, steam puffing upward, and a tiny wooden spoon stirring	false	null	null	true	276	2.12
26	train-0026	train	food_drink	a pastel plate of sliced strawberries, a dollop of whipped cream, and a candle flame dancing softly	a pastel plate of sliced strawberries, a dollop of whipped cream, and a candle flame dancing softly	false	null	null	true	277	2.12
27	train-0027	train	food_drink	a metal tin of honey-roasted peanuts, a flickering tealight, and a paper flag reading "go" fluttering in a draft	a metal tin of honey-roasted peanuts, a flickering tealight, and a paper flag reading "go" fluttering in a draft	false	null	null	true	279	2.12
28	train-0028	train	food_drink	a steaming mug of chai on a wooden coaster, steam curling upward, candle flickering beside it	a steaming mug of chai on a wooden coaster, steam curling upward, candle flickering beside it	false	null	null	true	280	2.12
29	train-0029	train	food_drink	an insulated bottle of hot green tea on a wicker basket, condensation beads sliding, a breeze rustling a napkin	an insulated bottle of hot green tea on a wicker basket, condensation beads sliding, a breeze rustling a napkin	false	null	null	true	289	2.12
30	train-0030	train	food_drink	a silver mug of hot apple cider on a windowsill, steam spiraling, a leaf swirling in the wind	a silver mug of hot apple cider on a windowsill, steam spiraling, a leaf swirling in the wind	false	null	null	true	290	2.12
31	train-0031	train	food_drink	an iron kettle of hot herbal infusion on a metal stand, steam rising, a tiny flag fluttering in the breeze	an iron kettle of hot herbal infusion on a metal stand, steam rising, a tiny flag fluttering in the breeze	false	null	null	true	295	2.12
32	train-0032	train	food_drink	a chipped porcelain cup of hot oolong on a bamboo mat, steam swirling, a hanging lantern flickering	a chipped porcelain cup of hot oolong on a bamboo mat, steam swirling, a hanging lantern flickering	false	null	null	true	296	2.12
33	train-0033	train	food_drink	an enamel cup of hot rooibos tea on a rustic bench, steam drifting, a wind-blown scarf fluttering	an enamel cup of hot rooibos tea on a rustic bench, steam drifting, a wind-blown scarf fluttering	false	null	null	true	299	2.12
34	train-0034	train	food_drink	an iced coffee in a clear mug, steam curling gently upward from the hot water layer, resting on a metal countertop at dawn	an iced coffee in a clear mug, steam curling gently upward from the hot water layer, resting on a metal countertop at dawn	false	null	null	true	301	2.12
35	train-0035	train	food_drink	an iced green tea in a tin cup, a thin mist rising from the surface as a cold wind brushes the patio rail	an iced green tea in a tin cup, a thin mist rising from the surface as a cold wind brushes the patio rail	false	null	null	true	306	2.12
36	train-0036	train	food_drink	a cold brew coffee in a glass tumbler, a thin ribbon of vapor drifting from an ice cube, positioned on a brushed-steel tray at dusk	a cold brew coffee in a glass tumbler, a thin ribbon of vapor drifting from an ice cube, positioned on a brushed-steel tray at dusk	false	null	null	true	310	2.12
37	train-0037	train	food_drink	a tall glass of grapefruit soda, a paper straw dancing in a subtle draft, resting on a concrete bar top beside a small potted herb	a tall glass of grapefruit soda, a paper straw dancing in a subtle draft, resting on a concrete bar top beside a small potted herb	false	null	null	true	312	2.12
38	train-0038	train	food_drink	a clear tumbler of sparkling lemonade, a lone ice cube tumbling as the drink swirls, set on a woven placemat during a spring afternoon	a clear tumbler of sparkling lemonade, a lone ice cube tumbling as the drink swirls, set on a woven placemat during a spring afternoon	false	null	null	true	314	2.12
39	train-0039	train	food_drink	a glass of iced caramel macchiato, a cinnamon stick slowly rotating as a fan circulates cool air, on a marble countertop in the early morning	a glass of iced caramel macchiato, a cinnamon stick slowly rotating as a fan circulates cool air, on a marble countertop in the early morning	false	null	null	true	316	2.12
40	train-0040	train	food_drink	a porcelain cup of cold hibiscus tea, a single mint leaf drifting across the surface, set on a slate coaster beside an open window	a porcelain cup of cold hibiscus tea, a single mint leaf drifting across the surface, set on a slate coaster beside an open window	false	null	null	true	318	2.12
41	train-0041	train	food_drink	a plastic bottle of chilled lime soda, a small label fluttering in a gentle breeze, positioned on a metal picnic table under a cloudy sky	a plastic bottle of chilled lime soda, a small label fluttering in a gentle breeze, positioned on a metal picnic table under a cloudy sky	false	null	null	true	319	2.12
42	train-0042	train	food_drink	a plate of fluffy pancakes stacked high, drizzled with maple syrup, steam rising gently in the cool morning light	a plate of fluffy pancakes stacked high, drizzled with maple syrup, steam rising gently in the cool morning light	false	null	null	true	320	2.12
43	train-0043	train	food_drink	a croissant on a linen napkin, a candle flame flickering and casting moving shadows across the tray	a croissant on a linen napkin, a candle flame flickering and casting moving shadows across the tray	false	null	null	true	323	2.12
44	train-0044	train	food_drink	a glass of orange juice beside a bowl of granola, a tiny decorative windup toy spinning slowly nearby	a glass of orange juice beside a bowl of granola, a tiny decorative windup toy spinning slowly nearby	false	null	null	true	325	2.12
45	train-0045	train	food_drink	a flatbread topped with melted cheese and herbs, a kitchen timer ticking down with a soft click moving the second hand	a flatbread topped with melted cheese and herbs, a kitchen timer ticking down with a soft click moving the second hand	false	null	null	true	331	2.12
46	train-0046	train	food_drink	a bamboo bowl of rice pudding, a tiny decorative fan spinning gently beside it	a bamboo bowl of rice pudding, a tiny decorative fan spinning gently beside it	false	null	null	true	334	2.12
47	train-0047	train	food_drink	a plate of poached eggs on toast, a drip of butter melting and sliding down the plate in a slow motion	a plate of poached eggs on toast, a drip of butter melting and sliding down the plate in a slow motion	false	null	null	true	335	2.12
48	train-0048	train	food_drink	a bowl of cottage cheese with pineapple chunks, a candle beside it flickering and moving the wax pool	a bowl of cottage cheese with pineapple chunks, a candle beside it flickering and moving the wax pool	false	null	null	true	336	2.12
49	train-0049	train	food_drink	a tiny wooden tray holding mini pancakes, a tiny wind-up windmill turning slowly in the corner	a tiny wooden tray holding mini pancakes, a tiny wind-up windmill turning slowly in the corner	false	null	null	true	338	2.12
50	train-0050	train	food_drink	a glass of milk beside a bowl of cornflakes, a paper windmill on the table rotating in the morning draft	a glass of milk beside a bowl of cornflakes, a paper windmill on the table rotating in the morning draft	false	null	null	true	339	2.12
51	train-0051	train	food_drink	a chocolate mousse cup with a drizzle of caramel, steam rising from a tiny candle flame	a chocolate mousse cup with a drizzle of caramel, steam rising from a tiny candle flame	false	null	null	true	340	2.12
52	train-0052	train	food_drink	an almond croissant on a porcelain plate, butter melting as a gentle breeze rustles a napkin	an almond croissant on a porcelain plate, butter melting as a gentle breeze rustles a napkin	false	null	null	true	341	2.12
53	train-0053	train	food_drink	a berry tart with fresh strawberries, a drop of juice falling from a sliced berry	a berry tart with fresh strawberries, a drop of juice falling from a sliced berry	false	null	null	true	342	2.12
54	train-0054	train	food_drink	a honey cake slice on a rustic plate, a soft wind moving a candle flame	a honey cake slice on a rustic plate, a soft wind moving a candle flame	false	null	null	true	350	2.12
55	train-0055	train	food_drink	a chocolate eclair with powdered sugar, steam rising from a nearby tea kettle	a chocolate eclair with powdered sugar, steam rising from a nearby tea kettle	false	null	null	true	352	2.12
56	train-0056	train	food_drink	a mint chocolate chip ice cream scoop in a cone, a gust of wind rustling a napkin	a mint chocolate chip ice cream scoop in a cone, a gust of wind rustling a napkin	false	null	null	true	358	2.12
57	train-0057	train	food_drink	a raspberry mousse tart on a tiny pedestal, a candle flame flickering as snowflakes drift past	a raspberry mousse tart on a tiny pedestal, a candle flame flickering as snowflakes drift past	false	null	null	true	359	2.12
58	train-0058	train	food_drink	a ceramic plate with sliced avocado toast, a dripping honey drizzle, and a tiny tabletop windmill slowly turning	a ceramic plate with sliced avocado toast, a dripping honey drizzle, and a tiny tabletop windmill slowly turning	false	null	null	true	361	2.12
59	train-0059	train	food_drink	an iron skillet with sizzling stir-fried noodles, a splash of soy sauce, and a copper vent hood fan humming	an iron skillet with sizzling stir-fried noodles, a splash of soy sauce, and a copper vent hood fan humming	false	null	null	true	362	2.12
60	train-0060	train	food_drink	a metal tray with roasted pepper strips, a drizzle of olive oil, and a ceiling fan rotating overhead	a metal tray with roasted pepper strips, a drizzle of olive oil, and a ceiling fan rotating overhead	false	null	null	true	366	2.12
61	train-0061	train	food_drink	a stone slab with marinated tofu cubes, a scattering of sesame seeds, and a tiny tabletop fountain spraying mist	a stone slab with marinated tofu cubes, a scattering of sesame seeds, and a tiny tabletop fountain spraying mist	false	null	null	true	367	2.12
62	train-0062	train	food_drink	a ceramic bowl of tomato bisque, a swirl of cream, and a tiny decorative rotor spinning on the rim	a ceramic bowl of tomato bisque, a swirl of cream, and a tiny decorative rotor spinning on the rim	false	null	null	true	379	2.12
63	train-0063	train	food_drink	a bamboo tray holding rosemary crackers, a mug of hot chai, and steam swirling upward	a bamboo tray holding rosemary crackers, a mug of hot chai, and steam swirling upward	false	null	null	true	382	2.12
64	train-0064	train	food_drink	a ceramic coaster beside a cup of iced tea, a handful of pretzel twists, and a candle flickering	a ceramic coaster beside a cup of iced tea, a handful of pretzel twists, and a candle flickering	false	null	null	true	383	2.12
65	train-0065	train	food_drink	a slate placemat with a stack of nacho chips, a salsa dip, and a small banner reading "fresh" fluttering	a slate placemat with a stack of nacho chips, a salsa dip, and a small banner reading "fresh" fluttering	false	null	null	true	384	2.12
66	train-0066	train	food_drink	a woven basket holding crunchy kale chips, a small glass of cucumber juice, and a paper fan waving	a woven basket holding crunchy kale chips, a small glass of cucumber juice, and a paper fan waving	false	null	null	true	387	2.12
67	train-0067	train	food_drink	a silver tray with mini croissants, a cup of espresso, and a tiny flag rippling in a breeze	a silver tray with mini croissants, a cup of espresso, and a tiny flag rippling in a breeze	false	null	null	true	388	2.12
68	train-0068	train	food_drink	a glass tray with caramel popcorn, a cold soda can, and condensation beads sliding down the glass	a glass tray with caramel popcorn, a cold soda can, and condensation beads sliding down the glass	false	null	null	true	390	2.12
69	train-0069	train	food_drink	a stone slab with a plate of sesame sticks, a teacup, and a candle flame dancing	a stone slab with a plate of sesame sticks, a teacup, and a candle flame dancing	false	null	null	true	391	2.12
70	train-0070	train	food_drink	a wooden cutting board with sliced apple chips, a mug of hot chocolate, and steam drifting upward	a wooden cutting board with sliced apple chips, a mug of hot chocolate, and steam drifting upward	false	null	null	true	394	2.12
71	train-0071	train	food_drink	a plastic tray with mini rice cakes, a bottle of iced green tea, and a small wind sock swaying	a plastic tray with mini rice cakes, a bottle of iced green tea, and a small wind sock swaying	false	null	null	true	395	2.12
72	train-0072	train	food_drink	a crocheted coaster supporting a cup of herbal tea, a handful of chocolate pretzels, and a candle wick pulsing	a crocheted coaster supporting a cup of herbal tea, a handful of chocolate pretzels, and a candle wick pulsing	false	null	null	true	396	2.12
73	train-0073	train	food_drink	a glass teapot pouring hot herbal tea into a mug while a tiny steam vortex spirals upward	a glass teapot pouring hot herbal tea into a mug while a tiny steam vortex spirals upward	false	null	null	true	401	2.12
74	train-0074	train	food_drink	a metal travel mug with frothy latte art and a neon sign blinking "open" on a rainy sidewalk	a metal travel mug with frothy latte art and a neon sign blinking "open" on a rainy sidewalk	false	null	null	true	402	2.12
75	train-0075	train	food_drink	a enamel mug of hot matcha beside a small wind-up music box whose tinny tune spins	a enamel mug of hot matcha beside a small wind-up music box whose tinny tune spins	false	null	null	true	406	2.12
76	train-0076	train	food_drink	a sleek travel mug of hot peppermint tea on a subway platform with a neon arrow flashing	a sleek travel mug of hot peppermint tea on a subway platform with a neon arrow flashing	false	null	null	true	415	2.12
77	train-0077	train	food_drink	an ice-filled tumbler of iced tea, a lemon wedge slowly sliding down the glass, a paper straw curling	an ice-filled tumbler of iced tea, a lemon wedge slowly sliding down the glass, a paper straw curling	false	null	null	true	421	2.12
78	train-0078	train	food_drink	a clear plastic cup of sparkling water, bubbles rising continuously, a tiny metal straw glinting in sunlight	a clear plastic cup of sparkling water, bubbles rising continuously, a tiny metal straw glinting in sunlight	false	null	null	true	422	2.12
79	train-0079	train	food_drink	a mason jar of cucumber water, cucumber slices drifting gently, a thin metal straw twirling	a mason jar of cucumber water, cucumber slices drifting gently, a thin metal straw twirling	false	null	null	true	423	2.12
80	train-0080	train	food_drink	a stainless steel bottle of cold orange juice, droplets sliding down the side, a label reading "fresh"	a stainless steel bottle of cold orange juice, droplets sliding down the side, a label reading "fresh"	false	null	null	true	425	2.12
81	train-0081	train	food_drink	a ceramic mug of chilled chai latte, a cinnamon stick gently rocking, steam curling faintly	a ceramic mug of chilled chai latte, a cinnamon stick gently rocking, steam curling faintly	false	null	null	true	430	2.12
82	train-0082	train	food_drink	a crystal goblet of chilled white wine, bubbles rising, a tiny candle flickering beside	a crystal goblet of chilled white wine, bubbles rising, a tiny candle flickering beside	false	null	null	true	432	2.12
83	train-0083	train	food_drink	a glass tumbler of blueberry lemonade, blueberries bobbing, a tiny paper straw twisting	a glass tumbler of blueberry lemonade, blueberries bobbing, a tiny paper straw twisting	false	null	null	true	434	2.12
84	train-0084	train	food_drink	a porcelain cup of cold matcha latte, matcha particles swirling, a bamboo whisk turning	a porcelain cup of cold matcha latte, matcha particles swirling, a bamboo whisk turning	false	null	null	true	437	2.12
85	train-0085	train	food_drink	a plastic bottle of chilled coconut water, coconut chunks drifting, a label reading "tropics"	a plastic bottle of chilled coconut water, coconut chunks drifting, a label reading "tropics"	false	null	null	true	439	2.12
86	train-0086	train	food_drink	an enamel mug of hot coffee beside a flaky croissant on a marble plate, steam curling upward	an enamel mug of hot coffee beside a flaky croissant on a marble plate, steam curling upward	false	null	null	true	441	2.12
87	train-0087	train	food_drink	an iron skillet with sizzling scrambled eggs, diced tomatoes, and chopped herbs, steam billowing	an iron skillet with sizzling scrambled eggs, diced tomatoes, and chopped herbs, steam billowing	false	null	null	true	444	2.12
88	train-0088	train	food_drink	a porcelain cup of chai tea with a cinnamon stick, a small plate of toasted bagels, and a sugar cube, steam swirling	a porcelain cup of chai tea with a cinnamon stick, a small plate of toasted bagels, and a sugar cube, steam swirling	false	null	null	true	445	2.12
89	train-0089	train	food_drink	an acrylic container of fresh fruit salad with kiwi, melon, and grapes, a mint leaf garnish, and a straw, light breeze moving a napkin	an acrylic container of fresh fruit salad with kiwi, melon, and grapes, a mint leaf garnish, and a straw, light breeze moving a napkin	false	null	null	true	448	2.12
90	train-0090	train	food_drink	a glass jar of yogurt parfait layered with granola and strawberries, a spoon, and a tiny honey drizzle, steam from nearby coffee drifting	a glass jar of yogurt parfait layered with granola and strawberries, a spoon, and a tiny honey drizzle, steam from nearby coffee drifting	false	null	null	true	449	2.12
91	train-0091	train	food_drink	a metal plate with a fluffy omelette, sliced avocado, and a side of salsa, steam rising gently	a metal plate with a fluffy omelette, sliced avocado, and a side of salsa, steam rising gently	false	null	null	true	450	2.12
92	train-0092	train	food_drink	an amber glass of hot chocolate topped with whipped cream, a biscotti, and a cinnamon stick, steam swirling	an amber glass of hot chocolate topped with whipped cream, a biscotti, and a cinnamon stick, steam swirling	false	null	null	true	451	2.12
93	train-0093	train	food_drink	a woven basket of warm cinnamon rolls, a small bowl of butter, and a cup of tea, steam rising in the cool morning air	a woven basket of warm cinnamon rolls, a small bowl of butter, and a cup of tea, steam rising in the cool morning air	false	null	null	true	452	2.12
94	train-0094	train	food_drink	a porcelain bowl of rice pudding with raisins, a sprig of rosemary, and a small spoon, steam curling upward	a porcelain bowl of rice pudding with raisins, a sprig of rosemary, and a small spoon, steam curling upward	false	null	null	true	453	2.12
95	train-0095	train	food_drink	an earthenware mug of matcha latte beside a sesame seed bagel, steam drifting from the latte	an earthenware mug of matcha latte beside a sesame seed bagel, steam drifting from the latte	false	null	null	true	454	2.12
96	train-0096	train	food_drink	a stainless steel pan with golden hash browns, a side of ketchup, and a fork, steam rising	a stainless steel pan with golden hash browns, a side of ketchup, and a fork, steam rising	false	null	null	true	456	2.12
97	train-0097	train	food_drink	a slice of lemon tart on a porcelain plate, steam rising from a nearby tea kettle	a slice of lemon tart on a porcelain plate, steam rising from a nearby tea kettle	false	null	null	true	460	2.12
98	train-0098	train	food_drink	an almond croissant resting on a wooden board, a candle flickering beside it	an almond croissant resting on a wooden board, a candle flickering beside it	false	null	null	true	461	2.12
99	train-0099	train	food_drink	a bowl of fresh berries with whipped cream, a gentle breeze rustling a napkin	a bowl of fresh berries with whipped cream, a gentle breeze rustling a napkin	false	null	null	true	462	2.12

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Isometric Scenes Prompts

2,048 short text prompts that describe a scene of places and objects, for training and evaluating models that write animated isometric SVG.

Code: github.com/najmulhasan-code/isometric-scenes
Environment: najmulhasan-code/isometric-scenes
Model trained on it: najmulhasan/qwen3.5-4b-isometric-scenes-lora

Splits

Split	Prompts	In scope	Distractors
`train`	1,600	1,440	160
`validation` (`val` in the files)	88	80	8
`test`	240	200	40
`test_unseen`	120	100	20

Distractors make up 10% of train and 9% of validation, and 16.7% of test and test_unseen. These shares are set by the split quotas in the build configuration.

train, validation and test cover eight categories in equal numbers:

food and drink;
single objects;
transport;
workspaces;
shops and food service;
home interiors;
streets and rooftops;
nature and islands.

test_unseen holds only the ninth category, space, which appears in no other split. Results on it measure generalisation to one held-out category, which is weak evidence on its own.

About 70% of the prompts name something that moves, such as steam rising or a fan turning. The rest name no motion.

A distractor prompt is an in-scope prompt with one person, animal or face figure added. The correct output is the scene without it.

Fields

Field	Description
`id`	Split and row number, for example `test-0012`
`prompt`	The text given to the model
`base_prompt`	The prompt without the distractor element; equal to `prompt` otherwise
`category`	One of the nine categories
`distractor`	Whether `prompt` contains an out-of-scope element
`excluded_element`, `excluded_element_type`	The added element and its type (`human`, `animal`, `face_figure`), for distractors
`motion_in_prompt`	Whether the prompt names a moving element
`candidate_id`, `idx`, `split`	Provenance from the build
`spec_version`	The version label of the build rules, recorded in each row

Scope

Prompts describe places and objects:

interiors, shop fronts and streets;
landscapes and islands;
vehicles and buildings;
food, everyday objects, weather and plants.

Every prompt starts with "a" or "an" and has 8 to 25 words (the rule allows 4 to 25). The other build rules are: no person, animal or face figure apart from the one element in each distractor, one scene with at most four main objects, and no style words (such as "isometric"), proper nouns or brand names. Code checked the opening, the length, style words, capital letters and a list of person and animal words on every prompt. The single scene, the object count, proper nouns, the category and implied people or animals were checked by the review model, on the evaluation splits and an audit sample of train only (see Limitations).

How it was made

The prompts were written by openai/gpt-oss-120b, with seeded requests per category, motion label and distractor type. Every request and reply was logged.

Code then applied the rules, removed near-duplicates (by word overlap and by sentence embeddings with all-MiniLM-L6-v2), capped overused words, and assigned the splits.

The evaluation splits and an audit sample of train were then reviewed in 14 rounds. In each round, a pinned language model, anthropic/claude-opus-5.5, read every item. Every item it flagged was removed and replaced. In round 1 only, the author read a seeded sample of 50 unflagged items and removed none, which gives a 95% Wilson upper bound of 7.1% on the rate of rule breaks the model missed. Later rounds had no spot check. Review removed 246 evaluation candidates, most for the wrong category (211).

raw/ holds the generator logs, the review model's replies and the recorded decisions. With the code, they rebuild the released files exactly (see the prompt_data README). Provider request IDs were removed from the logs. The code_commit hashes in the raw/ manifests refer to the development repository, which is not public.

Uses

The dataset is meant for training and evaluating models that write animated SVG scenes from short descriptions, as in the environment. The distractor prompts measure whether a model leaves out a person, animal or face figure that the task excludes. The prompts are synthetic and short, so they are not suited to measuring robustness to human-written descriptions, and they carry no reference images or answers.

Limitations

All prompts come from one generator, so test shares the training distribution and does not measure robustness to other writing styles.
train was checked by the review model only on an audit sample. It flagged 89 of 446 prompts (20%, Wilson 95% [16.5%, 23.9%]), mostly for the wrong category or an implied person or animal. The flagged prompts were replaced, but the 1,243 train prompts outside the sample were checked by code only, so a similar share of them may break a rule.
No person checked the review model's flags, so its false-flag rate is unknown, and the author's spot check covered 50 items in round 1 only and was not blind.
The motion label is verb-based, so motion carried only by a noun, such as "a waterfall", is not detected.

License

The dataset is released under CC BY 4.0. The prompts were generated with gpt-oss-120b, which is released under Apache-2.0.

Citation

@misc{hasan2026isometricscenes,
  author = {Najmul Hasan},
  title = {Isometric Scenes: RL post-training Qwen3.5-4B to write animated isometric SVG},
  year = {2026},
  url = {https://github.com/najmulhasan-code/isometric-scenes}
}

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