Datasets:
File size: 4,456 Bytes
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---
language:
- en
size_categories:
- 1K<n<10K
pretty_name: Nutritional Values for Common Foods
dataset_info:
- config_name: hidden_vector_states
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: head_0
sequence: float64
- name: head_1
sequence: float64
- name: head_2
sequence: float64
- name: head_3
sequence: float64
- name: head_4
sequence: float64
- name: head_5
sequence: float64
- name: head_6
sequence: float64
- name: head_7
sequence: float64
- name: head_8
sequence: float64
- name: head_9
sequence: float64
- name: head_10
sequence: float64
- name: head_11
sequence: float64
splits:
- name: train
num_bytes: 670987416
num_examples: 8789
download_size: 532067190
dataset_size: 670987416
- config_name: raw
features:
- name: name
dtype: string
- name: serving_size
dtype: string
- name: calories
dtype: int64
- name: total_fat
dtype: string
- name: saturated_fat
dtype: string
- name: cholesterol
dtype: string
- name: sodium
dtype: string
- name: choline
dtype: string
- name: folate
dtype: string
- name: folic_acid
dtype: string
- name: niacin
dtype: string
- name: pantothenic_acid
dtype: string
- name: riboflavin
dtype: string
- name: thiamin
dtype: string
- name: vitamin_a
dtype: string
- name: vitamin_a_rae
dtype: string
- name: carotene_alpha
dtype: string
- name: carotene_beta
dtype: string
- name: cryptoxanthin_beta
dtype: string
- name: lutein_zeaxanthin
dtype: string
- name: lucopene
dtype: int64
- name: vitamin_b12
dtype: string
- name: vitamin_b6
dtype: string
- name: vitamin_c
dtype: string
- name: vitamin_d
dtype: string
- name: vitamin_e
dtype: string
- name: tocopherol_alpha
dtype: string
- name: vitamin_k
dtype: string
- name: calcium
dtype: string
- name: copper
dtype: string
- name: irom
dtype: string
- name: magnesium
dtype: string
- name: manganese
dtype: string
- name: phosphorous
dtype: string
- name: potassium
dtype: string
- name: selenium
dtype: string
- name: zink
dtype: string
- name: protein
dtype: string
- name: alanine
dtype: string
- name: arginine
dtype: string
- name: aspartic_acid
dtype: string
- name: cystine
dtype: string
- name: glutamic_acid
dtype: string
- name: glycine
dtype: string
- name: histidine
dtype: string
- name: hydroxyproline
dtype: string
- name: isoleucine
dtype: string
- name: leucine
dtype: string
- name: lysine
dtype: string
- name: methionine
dtype: string
- name: phenylalanine
dtype: string
- name: proline
dtype: string
- name: serine
dtype: string
- name: threonine
dtype: string
- name: tryptophan
dtype: string
- name: tyrosine
dtype: string
- name: valine
dtype: string
- name: carbohydrate
dtype: string
- name: fiber
dtype: string
- name: sugars
dtype: string
- name: fructose
dtype: string
- name: galactose
dtype: string
- name: glucose
dtype: string
- name: lactose
dtype: string
- name: maltose
dtype: string
- name: sucrose
dtype: string
- name: fat
dtype: string
- name: saturated_fatty_acids
dtype: string
- name: monounsaturated_fatty_acids
dtype: string
- name: polyunsaturated_fatty_acids
dtype: string
- name: fatty_acids_total_trans
dtype: string
- name: alcohol
dtype: string
- name: ash
dtype: string
- name: caffeine
dtype: string
- name: theobromine
dtype: string
- name: water
dtype: string
splits:
- name: train
num_bytes: 6625607
num_examples: 8789
download_size: 2002446
dataset_size: 6625607
configs:
- config_name: hidden_vector_states
data_files:
- split: train
path: hidden_vector_states/train-*
- config_name: raw
data_files:
- split: train
path: raw/train-*
tags:
- food
- nutrition
---
Originally webscrapped by [Aleksandr Antonov](https://www.kaggle.com/trolukovich) from [Nutrition Value](https://www.nutritionvalue.org/) and posted on Kaggle as ["Nutritional values for common foods and products"](https://www.kaggle.com/datasets/trolukovich/nutritional-values-for-common-foods-and-products). |