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Datasets:
adarshzolekar
/
foods-nutrition-dataset

Tasks:
Tabular Classification
Tabular Regression
Table to Text
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
1K - 10K
Tags:
nutrition
food
health
diet
dataset
machine-learning
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
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Food Items
stringlengths
4
86
Energy kcal
float64
6.61
839
Carbs
float64
0
86.5
Protein(g)
float64
0
21.6
Fat(g)
float64
0
90.5
Freesugar(g)
float64
0
85.6
Fibre(g)
float64
0
35.7
Cholestrol(mg)
float64
0
346
Calcium(mg)
float64
0
632
Butternaan
300
50
7
10
2
2
15
50
Cupcake
200
30
2
8
20
0.5
20
20
Donuts
250
30
3
12
10
1
20
20
French Fries
312
41
3.4
15
0.3
3.8
0
20
Garlic Bread
200
25
4
10
1
1
10
30
Grilled Cheese Sandwich
400
30
12
25
2
2
50
200
Hot Dog
290
24
10
18
4
1
30
20
Ice Cream
207
24
3.5
11
21
0.5
44
100
Lobster Roll Sandwich
450
30
20
25
3
2
80
60
Onion Rings
275
31
3
15
5
2
0
30
Red Velvet Cake
293
37.45
5.45
13.74
13.89
1.2
43
85
Strawberry Shortcake
250
35
3
12
15
1
30
50
Vada Pav
304
40.17
9.17
11.92
9.42
3.8
0
71
Waffles
220
20
13
11
5
3
30
100
Hot tea (Garam Chai)
16.14
2.58
0.39
0.53
2.58
0
0
14.2
Instant coffee
23.16
3.65
0.64
0.75
3.62
0
0
20.87
Espreso coffee
51.54
6.62
1.75
2.14
6.53
0
0
58.1
Iced tea
10.34
2.7
0.03
0.01
2.7
0
0
1.18
Raw mango drink (Aam panna)
35.92
9.05
0.16
0.03
7.49
0.61
0
7.08
Fruit Punch (with fresh juices)
36.12
9.38
0.14
0.03
9.25
0.06
0
5.07
Fruit Punch (with squashes)
23.13
5.99
0.07
0.02
5.88
0.17
0
3.3
Lemonade
20.8
5.48
0.03
0.01
5.47
0.02
0
1.84
Lem-o-gin
21.52
5.55
0.08
0.03
5.38
0.13
0
2.2
Cumin infused water (Jeere/Zeere ka pani)
9.09
1.86
0.17
0.11
1.46
0.46
0
10.84
Coco pine cooler
32.75
5.72
0.56
1
5.52
0.26
3.4
17.81
Summer cooler
22.43
5.43
0.37
0.04
5.21
0.2
0
8.13
Hot cocoa
90.1
9.23
3.36
4.56
9.01
0
0
113.66
Cold coffee with ice cream
67.85
11.24
1.57
2.11
11.18
0.01
1.17
53.29
Banana milkshake (Kele milkshake)
65.31
9.15
1.84
2.37
7.96
0.26
0
62.64
Mango milkshake (Aam milkshake)
56.9
7.23
1.73
2.35
7.15
0.26
0
62.33
Pineapple milkshake (Ananas milkshake)
55.72
7.62
1.66
2.23
7.6
0
0
59.92
Orange milkshake (Narangi milkshake)
57.42
7.11
1.86
2.52
7.08
0
0
67.42
Egg nog
97.14
8.15
4.78
5.11
8.06
0.02
60.3
102.13
Sweet Lassi (Meethi lassi)
35.66
6.51
1.29
0.68
6.51
0
2.49
45.65
Lassi (salted)
18.84
1.86
1.35
0.72
1.84
0.02
2.6
47.78
Cheese and chilli sandwich
218.11
27.4
6.8
9.78
2.38
2.08
23.05
113.79
Egg sandwich (Ande ka sandwich)
285.96
29.16
8.69
15.8
1.86
1.88
121.63
110.13
Cucumber sandwich (Kheere ka sandwich)
188.6
25.77
4.8
8
1.64
2.45
17.53
87.84
Cheese and pineapple sandwich (Cheese aur ananas ka sandwich)
257.71
29.1
8.2
12.8
4.1
2.33
34.35
199.73
Cheese and tomato sandwich (Cheese aur tamatar ke sandwich)
243.32
26.92
7.92
12.27
2.85
1.97
32.88
191.2
Chicken sandwich
253.27
25.38
13.12
11.75
1.6
1.64
42.06
89.56
Peanut and tomato sandwich (Moongfali aur tamatar ka sandwich)
291.43
28.54
9.53
16.14
2.82
4.03
17.53
94.03
Rainbow sandwich
272.75
34.26
7.75
12.54
4.05
2.1
31.16
172.04
Club sandwich
235.32
18.51
7.31
15.12
2.01
1.81
31.26
115.68
Vegetarian club sandwich
198.33
19.68
5.45
11.33
2.08
2.06
23.13
122.44
Pin wheel sandwich
311.52
14
8.77
24.93
1.45
0.93
179.52
67.75
Carrot apple sandwich (Gajar aur seb ka sandwich)
214.11
29.04
5.3
9.12
5.3
3.66
21.05
118.05
Salami sandwich
255.59
21.54
8.7
15.51
2
1.97
33.35
73.54
Vegetable and mayonnaise sandwich
244.26
23.2
4.47
15.4
2.35
2.35
21.87
79.53
Egg and tomato sandwich (Ande aur tamatar ka sandwich)
222.11
25.9
7.66
10.51
2.09
1.77
95.63
95.71
Sweet open sandwich
244.25
39.24
4.99
8.15
12.23
2.36
18.05
85.18
Mushroom and cheese sandwich (toasted)
227.42
21.01
7.79
13.01
2.11
2.28
35.12
172.35
Cheese and tomato sandwich (toasted) (Cheese aur tamatar ke sandwich (toasted))
224.58
21.42
6.82
12.95
2.67
1.78
35.12
169.22
Pea potato sandwich (toasted) (Matar aloo ka sandwich)
164.9
25.17
4.6
5.43
1.33
2.89
0
64.15
Paneer pea sandwich (toasted) (Paneer matar ka sandwich)
249.56
24.05
12.4
11.98
6.4
2.12
0
274.1
Chicken sandwich (toasted)
167.37
18.82
12.08
5.32
2.13
1.64
26.57
99.99
Pea keema sandwich (toasted) (Matar aur keema ka sandwich)
171.78
20.26
11.06
5.61
1.94
2.45
27.29
70.79
Classic club sandwich
200.83
18.49
6.74
11.56
1.86
1.62
62.87
107.73
Sesame toast
495.19
11.15
1.9
49.38
1.46
1.32
0
43.44
Cracked wheat porridge (Meetha daliya)
81.57
8.87
2.64
4.08
5.12
0.62
0
75.88
Semolina porridge (Suji/Rava daliya)
100.89
12.39
3.75
4.08
7.54
0.7
0
108.52
Oatmeal Porridge
72.85
8.77
2.6
3.22
5.2
0.39
0.02
76.83
Cornflakes with milk
117.33
14.95
3.59
5.12
9.97
0.78
0
106.47
Rice flakes (Chiwda/Aval)
112.44
15.57
3.62
3.99
7.28
0.37
0
103.15
Wheat flakes
112.44
15.57
3.62
3.99
7.28
0.37
0
103.15
Murmura (Puffed rice)
113.32
15.67
3.62
4.04
7.31
0.28
0
103.79
Puffed wheat (Murmure/Moori)
113.32
15.67
3.62
4.04
7.31
0.28
0
103.79
Boiled egg (Ubla anda)
45.35
0.12
4.43
3.04
0
0.11
121.19
17.75
Fried Egg
223.67
0.31
11.59
19.62
0
0.29
316.88
46.4
Poached egg
123.87
0.37
11.98
8.19
0.05
0.3
326.79
48.24
Scrambled egg (Ande ki bhurji)
155.97
1.35
10.29
12.21
1.08
0.24
273.6
64.59
Baked egg
218.85
15.42
11.88
12.65
1.66
1.03
204.36
164.05
Plain omelette/omlet
272.41
0.64
9.66
25.74
0.51
0.12
255.94
48.4
Stuffed egg omelette/omlet
203.51
2.3
8.6
17.77
1.57
0.75
154.38
89.91
Pancake
203.36
20.49
5.68
10.82
3.32
0.65
35.93
79.49
Keema pancake
176.27
9.56
9.01
11.25
2.2
0.84
46.43
40.96
Vegetable pancake
125.18
12.24
3.87
6.57
2.09
2.48
19.32
42.89
Jam and fruit pancake
162.02
20.73
3.79
7.01
7.85
1.21
23.09
54.06
Khoa and coconut pancake
271.98
27.32
6.98
15.29
16.47
1.65
21.35
157.22
Brown stock
21.32
0.25
1.95
1.38
0.14
0.09
0
17.16
Vegetable stock
17.6
0.96
0.3
1.38
0.44
0.38
3.46
5.08
Chicken stock
29.88
0.37
3.69
1.51
0.2
0.1
10.23
3.57
Clear tomato soup (Tamatar ka soup)
80.07
3.45
4.79
12.22
1.44
1.96
0
29.05
Lentil soup
31.17
3.94
9.65
11.68
1.06
2.57
2.19
40.57
Chicken consomme (Clear chicken soup)
47.94
1.19
11.47
12.02
0.54
1.57
17
35.48
Cream of tomato soup
97.81
3.93
4.61
13.12
1.81
1.38
5.47
39.61
Cream of green peas soup
127.84
6.75
7.13
14.78
1.61
2.95
6.19
51.01
Cream of spinach soup
100.54
3.45
5.21
13.31
1.13
1.74
5.47
70.77
Cream of mixed vegetable soup
59.65
4.93
6.84
9.05
2.1
2.14
7.05
65.26
Cream of mushroom soup
117.28
3.74
6.64
15.5
1.93
1.34
6.74
70.56
Chicken sweet corn soup
28.32
1.63
14.48
12.59
0.27
0.47
6.37
91.5
Minestrone soup
42.66
3.71
9.3
11.09
1.01
1.92
3.7
53.55
Egg drop soup
26.64
1.1
12.93
13.52
0.6
0.81
31.67
100.14
Chinese cabbage and meat ball soup
484.31
1.43
5.21
56.57
0.37
0.57
5.83
41.07
French onion soup
55.61
4.28
11.41
14.39
1.5
1.01
10.59
106.22
Hot and sour soup
31.51
1.78
3.12
1.31
0.66
0.6
17.91
10.68
Talaumein soup
35.63
4.17
10.12
12.78
0.77
1.94
12.4
42.33
Cold cucumber soup (Thanda kheere ka soup)
48.03
4.58
2.99
1.99
3.34
0.88
7.06
99.79
Cold summer garden soup
49.19
2.65
8.57
14.08
0.46
1.86
10.12
43.93
Chapati/Roti
202.31
35.65
5.88
3.56
1
6.31
6.83
17.22
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Foods Nutrition Dataset

A curated dataset of 1,028 food items with detailed nutritional information. Lightweight and easy to use for machine learning, health analytics and educational projects.

Dataset Details

Feature Description
Items 1,028 rows of common food items
Columns Energy kcal, Carbs, Protein, Fat, Free sugar, Fiber, Cholesterol, Calcium
Split Single train split

Overview

This dataset offers a structured and small-scale foundation for nutrition-based ML tasks. Ideal for prototyping ML pipelines, classification, regression or text generation tasks.

Key Use Cases

  • Calorie Prediction – Train regression models to estimate food energy from macronutrients.

  • Personalized Nutrition – Power recommendation systems for fitness, wellness or diet-tracking applications.

  • Dietary Pattern Analysis – Apply clustering or classification to uncover eating trends and nutritional gaps.

  • AI-Powered Health Assistants – Fine-tune LLMs or chatbots with structured nutrition data for diet advice and meal planning.

Citation 

@dataset{foods_nutrition_dataset,
  author = {Adarsh Zolekar},
  title = {Foods Nutrition Dataset},
  year = {2025},
  url = {https://huggingface.co/datasets/adarshzolekar/foods-nutrition-dataset}
}
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
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