Dataset Viewer
Search is not available for this dataset
Unnamed: 0
stringlengths 1
3
| Good/Bad Results
stringclasses 2
values | Post ID
stringlengths 17
128
| system
stringclasses 1
value | user
stringclasses 1
value | Sound Bite Text
stringlengths 13
1.85k
| Entity
stringlengths 3
22
| Entity_Type
stringclasses 4
values | Complex_CoT
stringlengths 3
1.31k
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stringlengths 80
951
| Old_response
stringlengths 24
479
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stringclasses 7
values | Michael Notes
stringclasses 4
values | Mackenna Notes
stringclasses 20
values | Andy's Notes
stringclasses 1
value | Ratings and Scores
stringclasses 1
value | Sound Bite Text.1
stringlengths 13
1.77k
| entity_gliner
stringlengths 1
28
| Title
stringlengths 3
299
| Source Type
stringclasses 5
values | Post Type
stringclasses 3
values | Is Paid
stringclasses 1
value | Media Type
stringclasses 3
values | URL
stringlengths 40
149
| Media Link
stringclasses 4
values | Domain
stringclasses 13
values | Sentiment
stringclasses 3
values | Published Date (GMT-05:00) New York
stringlengths 22
24
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stringclasses 3
values | Author URL
stringlengths 3
65
| Author Name
stringlengths 3
29
| Author Handle
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values | Author ID
stringlengths 3
24
| Author Location - Country 1
stringclasses 8
values | Author Location - State/Province 1
stringclasses 3
values | Author Location - City 1
stringclasses 2
values | Author Location - Country 2
stringclasses 1
value | Author Location - State/Province 2
stringclasses 1
value | Author Location - City 2
stringclasses 1
value | Author Location - Other
stringclasses 1
value | Author Reddit Karma
stringlengths 1
6
| Followers/Daily Unique Visitors/Subscribers
stringlengths 3
10
| Professions
stringclasses 2
values | Interests
stringclasses 4
values | Positive Objects
stringlengths 2
35
| Negative Objects
stringclasses 18
values | Richness
stringclasses 7
values | Tags
stringclasses 1
value | Quoted Post
stringclasses 4
values | Quoted Author Name
stringclasses 4
values | Quoted Author Handle
stringclasses 4
values | Total Engagements
stringclasses 1
value | Post Comments
stringclasses 1
value | Post Likes
stringclasses 1
value | Post Shares
stringclasses 1
value | Post Views
stringclasses 1
value | Reddit Score
stringclasses 19
values | Product Name
stringclasses 1
value | Product Hierarchy
stringclasses 1
value | Rating
stringclasses 3
values | @Mention Media Tags
stringclasses 1
value | Source Name
stringlengths 3
22
| LexisNexis Source Publisher
stringclasses 1
value | LexisNexis Source Category
stringclasses 1
value | LexisNexis Source Genre
stringclasses 1
value | LexisNexis Source Quality
stringclasses 1
value | LexisNexis Company - High
stringclasses 1
value | LexisNexis Company - Any
stringclasses 1
value | LexisNexis Person - High
stringclasses 1
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stringclasses 1
value | LexisNexis Institution - High
stringclasses 1
value | LexisNexis Institution - Any
stringclasses 1
value | LexisNexis Subject Group 1
stringclasses 1
value | LexisNexis Subject 1
stringclasses 1
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stringclasses 1
value | LexisNexis Subject 2
stringclasses 1
value | LexisNexis Other Subjects
stringclasses 1
value | json_data
stringlengths 16
635
| input
stringlengths 79
1.92k
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108
|
Mixed
|
BRDRDT2-t1_j1sr6mg
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
Me sitting here while reading this and eating rice with acid reflux so bad I am nauseousβ¦
|
rice
|
ingredient
|
Content Analysis: The user describes experiencing severe acid reflux and nausea while eating rice. The focus of the statement is on their discomfort and current food consumption.
Context Determination:
"Rice" is a food product, making it a product.
Entity Categorization:
"Rice" qualifies as a product since it is a commonly consumed food.
|
{
"entities": [
{
"entity": "Rice",
"type": "product"
}
]
}
|
(entity:Rice, type:product)
|
nan
|
nan
|
nan
|
nan
|
nan
|
I am an esthetician. Collagen has barely any effect on eyelashes and hair. It literally doesnβt play a role in hair growth. Collagen is what makes tissue elastic and plump. Hair is not skin or tissue .And hair growth is largely dependent on hormones and nutrients, with hair length being determined by how long you are able to grow hair before breakage, wich is not affected by collagen. Skin elasticity can be improved by collagen but it takes time. At least 6 months, to see visible results. And collagen is poorly absorbed from supplements. It is better from nutrition or by making the body produce more collagen. As we age collagen production slows down, skin cell turn over rate slows and lines and wrinkles have time to form because our skin takes too long to change the epidermis. Vitamin A, aka Tretinoin and itβs relative Retinol are the only thing that can make skin produce more collagen. Sun screen and Vitamin A are the only two thing that are truly anti aging m aside from more invasive procedures. She has no clue. And even worse, she sells expensive supplements to people , who could buy a great collagen supplement with much less money and invest in some products that would truly help them. This is so sad.
|
Vitamin A
|
What to eat after a gluten βpoisoningβ?
|
Forums
|
Replies and Comments
|
No
|
No Media
|
https://www.reddit.com/r/Celiac/comments/zvsh60/what_to_eat_after_a_gluten_poisoning/j1sr6mg/
|
nan
|
reddit.com
|
Neutrals
|
Dec 26, 2022 9:39:12 PM
|
Male
|
https://www.reddit.com/user/JonasSkywalker
|
JonasSkywalker
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
2003
|
42853.0
|
nan
|
nan
|
nan
|
rice, acid reflux
|
3
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
2
|
nan
|
nan
|
nan
|
nan
|
r/Celiac
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'Rice', 'type': 'product'}]}
|
Extract the food/beverage/supplement from this social media post:
Me sitting here while reading this and eating rice with acid reflux so bad I am nauseousβ¦
|
67
|
Good
|
BRDRDT2-t1_l2s32ed
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
I mean im only 23, but I drink a lot. For me, none of these things work all the time for me personally. I also agree w some of the comments saying dont buy stuff from podcasts. I tried zbiotics and that worked okay, but its too expensive. I mainly have hangover anxiety. I dont get the headaches and nausea unless its around a day like 4th of july then i get sick hangovers bc I usually party for 3 days straight around days like that. My aunt says chinese food and dr pepper is her hangover cure. So maybe try that?? Tho that sounds awful to me
|
zbiotics
|
product
|
Context Determination:
"ZBiotics" is a product designed to help with hangovers.
"Chinese food" is a product (referring to the type of cuisine).
"Dr. Pepper" is a product, a type of soda.
"Hangover anxiety" is a symptom, not a food or beverage.
Entity Categorization:
"ZBiotics," "Chinese food," and "Dr. Pepper" are products.
"Hangover anxiety" is a symptom and not relevant as a food, beverage, or nutrient entity.
|
{
"entities": [
{
"entity": "ZBiotics",
"type": "product"
},
{
"entity": "Chinese food",
"type": "product"
},
{
"entity": "Dr. Pepper",
"type": "product"
}
]
}
|
(entity:ZBiotics, type:product)
(entity:Chinese food, type:product)
(entity:Dr. Pepper, type:product)
|
nan
|
nan
|
nan
|
nan
|
nan
|
Your body will actually stop producing certain digestive enzymes if you stop eating things that require those enzymes. This is common for vegetarians and vegans. If someone who hasnβt eaten meat in 10 years were to suddenly eat a plate of beef, it could make them extremely ill because they donβt have the necessary enzymes. If they wanted to reintegrate meat long term, over time their body could start producing those enzymes again, but at first, itβd be a mess.
|
beef
|
Has anyone actually tried any of those anti-hangover supplement things that are advertised on GaS and GaS adjacent shows, and if so, does any of it really work? Give your age decade please - I'm almost 50 and almost never drink because it takes 2 days to recover.
|
Forums
|
Replies and Comments
|
No
|
No Media
|
https://www.reddit.com/r/skanks/comments/1cl3fv8/has_anyone_actually_tried_any_of_those/l2s32ed/
|
nan
|
reddit.com
|
Positives
|
May 5, 2024 11:03:25 PM
|
Unknown
|
https://www.reddit.com/user/avereydodds12
|
avereydodds12
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
15527
|
10335.0
|
nan
|
nan
|
nan
|
nan
|
1
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
0
|
nan
|
nan
|
nan
|
nan
|
r/skanks
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'ZBiotics', 'type': 'product'}, {'entity': 'Chinese food', 'type': 'product'}, {'entity': 'Dr. Pepper', 'type': 'product'}]}
|
Extract the food/beverage/supplement from this social media post:
I mean im only 23, but I drink a lot. For me, none of these things work all the time for me personally. I also agree w some of the comments saying dont buy stuff from podcasts. I tried zbiotics and that worked okay, but its too expensive. I mainly have hangover anxiety. I dont get the headaches and nausea unless its around a day like 4th of july then i get sick hangovers bc I usually party for 3 days straight around days like that. My aunt says chinese food and dr pepper is her hangover cure. So maybe try that?? Tho that sounds awful to me
|
31
|
Good
|
BRDRDT2-t1_lr95q12
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
Definitely get those tattoos! I have had diabetes for 21 years and I honestly donβt think my a1c has EVER been under 8. I have 16 tattoos. Not a single one has ever given me problems, just go to an artist with good hygienic practices (which is advice Iβd give to anyone). For the first couple of weeks, just try to keep em clean the way your tattooer instructs, keep the protectant layer on for as long as possible, stay out of the sun, donβt soak in water. Your blood sugars are in fine range to get inked. Good luck !!
|
none
|
none
|
There is no entity present in the post
|
{
"entities": [
{
"entity": "none",
"type": "none"
}
]
}
|
(entity:none, type:none)
|
nan
|
nan
|
gliner extracted water
|
nan
|
nan
|
Weed lowers blood sugar. Hinge the munchies you get.
|
blood sugar
|
Tattoos and T1 - HELP!!
|
Forums
|
Replies and Comments
|
No
|
No Media
|
https://www.reddit.com/r/Type1Diabetes/comments/1g0bnm1/comment/lr95q12
|
nan
|
reddit.com
|
Neutrals
|
Oct 10, 2024 10:10:55 AM
|
Unknown
|
https://www.reddit.com/user/Extreme_Combination3
|
Extreme_Combination3
|
nan
|
t2_adp09set
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
-
|
37086.0
|
nan
|
nan
|
tattoo
|
nan
|
0
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
2
|
nan
|
nan
|
nan
|
nan
|
r/Type1Diabetes
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'none', 'type': 'none'}]}
|
Extract the food/beverage/supplement from this social media post:
Definitely get those tattoos! I have had diabetes for 21 years and I honestly donβt think my a1c has EVER been under 8. I have 16 tattoos. Not a single one has ever given me problems, just go to an artist with good hygienic practices (which is advice Iβd give to anyone). For the first couple of weeks, just try to keep em clean the way your tattooer instructs, keep the protectant layer on for as long as possible, stay out of the sun, donβt soak in water. Your blood sugars are in fine range to get inked. Good luck !!
|
119
|
Mixed
|
BRDRDT2-t1_krjplqs
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
If you are doing any kind of keto or low carb, your brain thrives on burning fat instead of glucose. People on keto feel better mentally, it's very clear that this happens clinically and anecdotally. I work in a brain specialty clinic I'm not a licensed medical professional and this is not medical advice. I can only give you my clinical experience info. I used to work at a children's hospital where we had a pediatric neurologist who had a medical keto program for kids with autism/on the spectrum and ADHD. Some of these children made total turn arounds. Some were non verbal and started speaking for the first time. I was on keto for 16 years. Mentally it was some of the best, clearest thinking of my life. The brain can run on two different types of fuel. It can either run on glucose for energy or it can run on fat/oil for energy. Kind of like the difference between a regular gas powered car and a diesel-powered car. When you eat a keto diet and your body goes into ketosis mode where it burns fat for energy instead of glucose, the brain loves it and gets energized through this. Lots of good things happen in the brain when you go into ketosis. This can also happen with people who do 72 hour or longer fasting (water and electrolytes only with no sugar). They will go into ketosis and the brain starts burning fat instead of glucose. There's very much of a euphoric, clear minded feeling. So it depends on how you are losing weight and whether you are taking any peptides for the weight loss, that can also make a difference in your brain function.
|
keto
|
product
|
Content Analysis: The user discusses the benefits of a keto or low-carb diet for brain health, specifically emphasizing how the brain thrives on burning fat instead of glucose. They share their experiences working in a brain specialty clinic and observing improvements in children with autism and ADHD on a medically supervised keto program. Additionally, they mention the concept of ketosis and how fasting can induce it. The user compares the brainβs energy sources to gas and diesel fuel and briefly touches on the use of peptides for weight loss.
Context Determination:
Keto diet is a type of dietary approach, making it a product.
Low-carb diet is also a dietary approach, making it a product.
Glucose is a simple sugar and a key energy source, making it a nutrient.
Fat is a macronutrient that the body uses for energy during ketosis, making it a nutrient.
Oil is a form of dietary fat, making it a nutrient.
Peptides are molecules that may be used in supplements or medical treatments, making them a product.
Entity Categorization:
"Keto diet" and "Low-carb diet" qualify as products since they are dietary approaches.
"Glucose," "Fat," and "Oil" qualify as nutrients since they are sources of energy.
"Peptides" qualify as products since they are often used for medical or dietary purposes.
|
{
"entities": [
{
"entity": "Keto diet",
"type": "product"
},
{
"entity": "Low-carb diet",
"type": "product"
},
{
"entity": "Glucose",
"type": "nutrient"
},
{
"entity": "Fat",
"type": "nutrient"
},
{
"entity": "Oil",
"type": "nutrient"
},
{
"entity": "Peptides",
"type": "product"
}
]
}
|
(entity:Keto diet, type:product)
(entity:Low-carb diet, type:product)
(entity:Glucose, type:nutrient)
(entity:Fat, type:nutrient)
(entity:Oil, type:nutrient)
(entity:Peptides, type:product)
|
nan
|
nan
|
nan
|
nan
|
nan
|
I was hoping to get some help with my routine. I was comparing pictures from 6 months ago and noticed little changes and was wondering what I could do to improve. Background: Oily skin (dryer lately with North American winter and on Tret), Dark skin (African-American), and suffered from cystic acne and hyperpigmentation Routine (for the past 7 months) AM: Cereve Cleanser (foaming during summer, hydrating cleanser during winter) SPF (Cereve Moistorizing lotion with SPF 30) OR Banana Boat (SPF 50) PM: Cereve Cleanser Aloe Vera Gel (Fruit of the Earth) and Cereve Moisturizer Light \~waiting 20 minutes\~ Tret cream 0.025% 2 days a week (I tried three days after 2 months but it made my skin way too dry, I thought I would try again to increase to three days once winter is over) I'm seeing a major improvement in the cystic acne. I still breakout a bit around my period, but I see no improvement in the scars, in fact they look worse since I now have scars from the purge period I went through at the beginning as well. Any advice is appreciated. Thank you.
|
Tret
|
Does losing fat benefit cognition?
|
Forums
|
Replies and Comments
|
No
|
No Media
|
https://www.reddit.com/r/NooTopics/comments/1awskgw/does_losing_fat_benefit_cognition/krjplqs/
|
nan
|
reddit.com
|
Neutrals
|
Feb 21, 2024 9:06:29 PM
|
Unknown
|
https://www.reddit.com/user/Doctordup
|
Doctordup
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
549
|
8850.0
|
nan
|
nan
|
nan
|
burning fat
|
3
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
4
|
nan
|
nan
|
nan
|
nan
|
r/NooTopics
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'Keto diet', 'type': 'product'}, {'entity': 'Low-carb diet', 'type': 'product'}, {'entity': 'Glucose', 'type': 'nutrient'}, {'entity': 'Fat', 'type': 'nutrient'}, {'entity': 'Oil', 'type': 'nutrient'}, {'entity': 'Peptides', 'type': 'product'}]}
|
Extract the food/beverage/supplement from this social media post:
If you are doing any kind of keto or low carb, your brain thrives on burning fat instead of glucose. People on keto feel better mentally, it's very clear that this happens clinically and anecdotally. I work in a brain specialty clinic I'm not a licensed medical professional and this is not medical advice. I can only give you my clinical experience info. I used to work at a children's hospital where we had a pediatric neurologist who had a medical keto program for kids with autism/on the spectrum and ADHD. Some of these children made total turn arounds. Some were non verbal and started speaking for the first time. I was on keto for 16 years. Mentally it was some of the best, clearest thinking of my life. The brain can run on two different types of fuel. It can either run on glucose for energy or it can run on fat/oil for energy. Kind of like the difference between a regular gas powered car and a diesel-powered car. When you eat a keto diet and your body goes into ketosis mode where it burns fat for energy instead of glucose, the brain loves it and gets energized through this. Lots of good things happen in the brain when you go into ketosis. This can also happen with people who do 72 hour or longer fasting (water and electrolytes only with no sugar). They will go into ketosis and the brain starts burning fat instead of glucose. There's very much of a euphoric, clear minded feeling. So it depends on how you are losing weight and whether you are taking any peptides for the weight loss, that can also make a difference in your brain function.
|
42
|
Good
|
BRDRDT2-t1_l4uxggh
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
I would suggest naproxen over ibuprofen. I never thought about pineapple juice that way especially since it is technically eating you with its enzymes.
|
pineapple juice
|
product
|
The post mentions "naproxen" and "ibuprofen," which are medications and not classified under food or beverage entities, so they are excluded. "Pineapple juice" is referenced as a consumable product, and its mention of "enzymes" suggests a functional component. However, since the focus is on the juice itself rather than a specific extracted enzyme, "pineapple juice" should be categorized as a product.
|
{
"entities": [
{
"entity": "Pineapple Juice",
"type": "product"
}
]
}
|
(entity:Pineapple juice,type:product)
|
nan
|
nan
|
nan
|
nan
|
nan
|
I happen to be ruminating on my own cholesterol situation this morning, so if itβs of any help at all, I encourage you to just focus on fiber. Can you increase your fiber intake today? Can you eat some beans and greens today? Have some oatmeal? And maybe it sounds corny, but I try to stay focused on my gratitude that I have information about my health. It can be hard to know numbers and the risk they indicate, but at least I have healthcare and am paying attention to my health and well-being.
|
greens
|
Surgery on Wednesday, SM doesnβt wanna give me more than two days.
|
Forums
|
Replies and Comments
|
No
|
No Media
|
https://www.reddit.com/r/DollarGeneral/comments/1cw1xnf/surgery_on_wednesday_sm_doesnt_wanna_give_me_more/l4uxggh/
|
nan
|
reddit.com
|
Neutrals
|
May 20, 2024 7:01:37 AM
|
Unknown
|
https://www.reddit.com/user/ForsakenRub69
|
ForsakenRub69
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
4097
|
20652.0
|
nan
|
nan
|
naproxen
|
ibuprofen
|
1
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
6
|
nan
|
nan
|
nan
|
nan
|
r/DollarGeneral
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': []}
|
Extract the food/beverage/supplement from this social media post:
I would suggest naproxen over ibuprofen. I never thought about pineapple juice that way especially since it is technically eating you with its enzymes.
|
12
|
Good
|
BRDRDT2-t1_j1276tg
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
Hello! I do not claim to be an expert but 'conceptually' speaking there is more SPACE in between the molecules with AIR in the system vs water which requires less energy to achieve the same amount of pressure.
|
none
|
none
|
There is no entity present in the post
|
{
"entities": [
{
"entity": "none",
"type": "none"
}
]
}
|
(entity:none, type:none)
|
nan
|
nan
|
nan
|
nan
|
nan
|
What you eating/bolusing before the run? Weirdly when I run a 5k my blood sugar drops, but if I run 10/15k it seems to spike
|
blood sugar
|
Force needed to increase water pressure vs air pressure
|
Forums
|
Replies and Comments
|
No
|
No Media
|
https://www.reddit.com/r/FluidMechanics/comments/zf2iks/force_needed_to_increase_water_pressure_vs_air/j1276tg/
|
nan
|
reddit.com
|
Neutrals
|
Dec 20, 2022 10:05:12 PM
|
Unknown
|
https://www.reddit.com/user/Firegod555
|
Firegod555
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
1
|
9890.0
|
nan
|
nan
|
nan
|
nan
|
0
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
0
|
nan
|
nan
|
nan
|
nan
|
r/FluidMechanics
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'none', 'type': 'none'}]}
|
Extract the food/beverage/supplement from this social media post:
Hello! I do not claim to be an expert but 'conceptually' speaking there is more SPACE in between the molecules with AIR in the system vs water which requires less energy to achieve the same amount of pressure.
|
81
|
Mixed
|
BRDRDT2-t1_m0f1zte
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
i know it's boring but cereal and oat milk... the key is to find a really nice muesli (full of dried fruits and nuts, like chock full), it's amazing for energy levels. as someone that gets very hungry an hour before lunch if i eat toast or other bread-based breakfasts, a high-energy cereal really fills you up and keeps you energized. otherwise on the other end of the spectrum, if you have a blender you can make fruit smoothies (or veggie smoothies) - but that gets expensive quick. using frozen fruits just isn't the same, flavor-wise... otherwise the breakfast of choice of all millenials - avocado toast ;) my husband likes to make himself hash browns on the weekend. just have to chop up some potatoes, throw in some meat substitute (like seitan), and whatever spices you like.
|
seitan
|
ingredient
|
Content Analysis: The post discusses various breakfast options, including cereal with oat milk, muesli, fruit and veggie smoothies, avocado toast, and homemade hash browns with a meat substitute like seitan. The user emphasizes high-energy foods for maintaining energy levels.
Context Determination:
"Cereal" is a general food product, making it a product.
"Oat milk" is a plant-based beverage, making it a product.
"Muesli" is a specific type of cereal mix containing dried fruits and nuts, making it a product.
"Dried fruits" and "Nuts" are ingredients in the muesli, making them ingredients.
"Toast" is a food product, making it a product.
"Avocado" in the context of avocado toast is an ingredient, making it an ingredient.
"Avocado toast" is a prepared dish, making it a product.
"Hash browns" are a prepared potato dish, making them a product.
"Potatoes" are an ingredient in the hash browns, making them an ingredient.
"Seitan" is a meat substitute, making it a product.
"Fruit" and "Veggie" in smoothies are ingredients, making them ingredients.
"Frozen fruits" are specified as a variation of fruit, making them an ingredient.
|
{
"entities": [
{
"entity": "Cereal",
"type": "product"
},
{
"entity": "Oat milk",
"type": "product"
},
{
"entity": "Muesli",
"type": "product"
},
{
"entity": "Dried fruits",
"type": "ingredient"
},
{
"entity": "Nuts",
"type": "ingredient"
},
{
"entity": "Toast",
"type": "product"
},
{
"entity": "Avocado",
"type": "ingredient"
},
{
"entity": "Avocado toast",
"type": "product"
},
{
"entity": "Hash browns",
"type": "product"
},
{
"entity": "Potatoes",
"type": "ingredient"
},
{
"entity": "Seitan",
"type": "product"
},
{
"entity": "Fruit",
"type": "ingredient"
},
{
"entity": "Veggie",
"type": "ingredient"
},
{
"entity": "Frozen fruits",
"type": "ingredient"
}
]
}
|
(entity:Cereal, type:product)
(entity:Oat milk, type:product)
(entity:Muesli, type:product)
(entity:Dried fruits, type:ingredient)
(entity:Nuts, type:ingredient)
(entity:Toast, type:product)
(entity:Avocado, type:ingredient)
(entity:Avocado toast, type:product)
(entity:Hash browns, type:product)
(entity:Potatoes, type:ingredient)
(entity:Seitan, type:product)
(entity:Fruit, type:ingredient)
(entity:Veggie, type:ingredient)
(entity:Frozen fruits, type:ingredient)
|
nan
|
nan
|
nan
|
nan
|
nan
|
Have u tried increasing fiber fake broccoli also how much potassium did u consume a day ? Was ur electrolytes on point ? Lack of potassium makes u constipated
|
fiber
|
what do you eat for breakfast?
|
Forums
|
Replies and Comments
|
No
|
No Media
|
https://www.reddit.com/r/vegan/comments/1h6hhr8/comment/m0f1zte
|
nan
|
reddit.com
|
Neutrals
|
Dec 4, 2024 2:35:57 PM
|
Unknown
|
https://www.reddit.com/user/thats_a_cute_dog
|
thats_a_cute_dog
|
nan
|
t2_axlnf75i
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
605
|
1814120.0
|
nan
|
nan
|
nan
|
nan
|
2
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
2
|
nan
|
nan
|
nan
|
nan
|
r/vegan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'Cereal', 'type': 'product'}, {'entity': 'Oat milk', 'type': 'product'}, {'entity': 'Muesli', 'type': 'product'}, {'entity': 'Dried fruits', 'type': 'ingredient'}, {'entity': 'Nuts', 'type': 'ingredient'}, {'entity': 'Toast', 'type': 'product'}, {'entity': 'Avocado', 'type': 'ingredient'}, {'entity': 'Avocado toast', 'type': 'product'}, {'entity': 'Hash browns', 'type': 'product'}, {'entity': 'Potatoes', 'type': 'ingredient'}, {'entity': 'Seitan', 'type': 'product'}, {'entity': 'Fruit', 'type': 'ingredient'}, {'entity': 'Veggie', 'type': 'ingredient'}, {'entity': 'Frozen fruits', 'type': 'ingredient'}]}
|
Extract the food/beverage/supplement from this social media post:
i know it's boring but cereal and oat milk... the key is to find a really nice muesli (full of dried fruits and nuts, like chock full), it's amazing for energy levels. as someone that gets very hungry an hour before lunch if i eat toast or other bread-based breakfasts, a high-energy cereal really fills you up and keeps you energized. otherwise on the other end of the spectrum, if you have a blender you can make fruit smoothies (or veggie smoothies) - but that gets expensive quick. using frozen fruits just isn't the same, flavor-wise... otherwise the breakfast of choice of all millenials - avocado toast ;) my husband likes to make himself hash browns on the weekend. just have to chop up some potatoes, throw in some meat substitute (like seitan), and whatever spices you like.
|
69
|
Mixed
|
BRDRDT2-t1_lk7v0gm
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
Interesting timestamps: - [00:36:53](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=2213s) - Why everyone should train until failure at least once - [00:48:44](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=2924s) - Why you should train at long muscle lengths - [01:56:54](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=7014s) - Are seed oils the predominant cause of chronic disease β or is it just obesity? - [02:01:15](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=7275s) - Why you canβt say seed oils are uniquely deleterious to health without saying the same of saturated fat - [02:03:22](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=7402s) - Saturated fat vs. fructose β why saturated fat may be worse for fatty liver - [02:06:28](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=7588s) - Over a lifetime, high levels of LDL cholesterol are strongly associated with an increased risk of heart disease - [02:09:21](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=7761s) - How LDL cholesterol levels affect all-cause mortality risk - [02:11:59](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=7919s) - Why high heat or repeated heating makes seed oils more damaging - [02:32:03](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=9123s) - The microbiome risks of diet soda and artificial sweeteners - [03:16:21](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=11781s) - Why everyone should supplement with creatine - [03:22:02](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=12122s) - Why Layne is "very bullish" on ashwagandha
|
seed oils
|
ingredient
|
Content Analysis: The post contains timestamps and topics from a video discussing various health and nutrition-related subjects, including seed oils, saturated fat, LDL cholesterol, diet soda, artificial sweeteners, creatine, and ashwagandha.
Context Determination:
"Seed oils" are a category of oils extracted from seeds and are commonly used in cooking, making them products.
"Saturated fat" is a type of fat found in foods, making it a nutrient.
"Fructose" is a natural sugar and a nutrient.
"LDL cholesterol" (Low-Density Lipoprotein cholesterol) is a lipid and a nutrient.
"Diet soda" is a beverage product, making it a product.
"Artificial sweeteners" are additives used to sweeten foods without adding calories, making them ingredients.
"Creatine" is a dietary supplement often used for athletic performance, making it a product.
"Ashwagandha" is an herbal supplement, making it a product.
|
{
"entities": [
{
"entity": "Seed oils",
"type": "product"
},
{
"entity": "Saturated fat",
"type": "nutrient"
},
{
"entity": "Fructose",
"type": "nutrient"
},
{
"entity": "LDL cholesterol",
"type": "nutrient"
},
{
"entity": "Diet soda",
"type": "product"
},
{
"entity": "Artificial sweeteners",
"type": "ingredient"
},
{
"entity": "Creatine",
"type": "product"
},
{
"entity": "Ashwagandha",
"type": "product"
}
]
}
|
(entity:Seed oils, type:product)
(entity:Saturated fat, type:nutrient)
(entity:Fructose, type:nutrient)
(entity:LDL cholesterol, type:nutrient)
(entity:Diet soda, type:product)
(entity:Artificial sweeteners, type:ingredient)
(entity:Creatine, type:product)
(entity:Ashwagandha, type:product)
|
nan
|
nan
|
nan
|
nan
|
nan
|
I know pasta is best served Al dente and itβs usually my go to method. I also tend to finish my pasta with the sauce and so the reheated spaghetti that I ate for lunch was somewhat overcooked and bloated. I really enjoy it when itβs like this. Go on, share your unpopular opinions. This is a safe space :)
|
pasta
|
Rhonda Patrick here. New episode with Layne Norton covers why saturated fats are more concerning than seed oils, the science of training to failure, concerns with artificial sweeteners, how to train to overcome injury, why you can't out-science hard training, and intermittent fasting controversies.
|
Forums
|
Replies and Comments
|
No
|
Link
|
https://www.reddit.com/r/PeterAttia/comments/1f2n99j/comment/lk7v0gm
|
nan
|
reddit.com
|
Neutrals
|
Aug 27, 2024 2:49:03 PM
|
Unknown
|
https://www.reddit.com/user/biohacker045
|
biohacker045
|
nan
|
t2_day8n7fs
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
25023
|
36054.0
|
nan
|
nan
|
nan
|
nan
|
5
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
8
|
nan
|
nan
|
nan
|
nan
|
r/PeterAttia
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'Seed oils', 'type': 'product'}, {'entity': 'Saturated fat', 'type': 'nutrient'}, {'entity': 'Fructose', 'type': 'nutrient'}, {'entity': 'LDL cholesterol', 'type': 'nutrient'}, {'entity': 'Diet soda', 'type': 'product'}, {'entity': 'Artificial sweeteners', 'type': 'ingredient'}, {'entity': 'Creatine', 'type': 'product'}, {'entity': 'Ashwagandha', 'type': 'product'}]}
|
Extract the food/beverage/supplement from this social media post:
Interesting timestamps: - [00:36:53](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=2213s) - Why everyone should train until failure at least once - [00:48:44](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=2924s) - Why you should train at long muscle lengths - [01:56:54](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=7014s) - Are seed oils the predominant cause of chronic disease β or is it just obesity? - [02:01:15](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=7275s) - Why you canβt say seed oils are uniquely deleterious to health without saying the same of saturated fat - [02:03:22](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=7402s) - Saturated fat vs. fructose β why saturated fat may be worse for fatty liver - [02:06:28](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=7588s) - Over a lifetime, high levels of LDL cholesterol are strongly associated with an increased risk of heart disease - [02:09:21](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=7761s) - How LDL cholesterol levels affect all-cause mortality risk - [02:11:59](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=7919s) - Why high heat or repeated heating makes seed oils more damaging - [02:32:03](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=9123s) - The microbiome risks of diet soda and artificial sweeteners - [03:16:21](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=11781s) - Why everyone should supplement with creatine - [03:22:02](https://www.youtube.com/watch?v=nyZlFBJOuh4&t=12122s) - Why Layne is "very bullish" on ashwagandha
|
104
|
Mixed
|
BRDRDT2-t1_jp585xa
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
Not cool... > Q - Why does alcohol give you the shakes? A - As alcohol leaves the body of a heavy drinker, the brain is flooded with more activity, the nervous system becomes hyperactive, and you may experience alcohol tremors or shakes. The shakes can happen as quickly as eight hours after your last drink.
|
none
|
none
|
Content Analysis: The post explains the physiological mechanism behind alcohol-induced tremors, noting that as alcohol leaves the body, the nervous system becomes hyperactive, which can cause shaking.
Context Determination:
"Alcohol" is a beverage product, making it a product.
Entity Categorization:
"Alcohol" qualifies as a product since it is a consumable beverage.
|
{
"entities": [
{
"entity": "Alcohol",
"type": "product"
}
]
}
|
(entity:Alcohol, type:product)
|
nan
|
nan
|
nan
|
nan
|
nan
|
I canβt say for sure. I know these delicious burritos would give me the worst gerd and heartburn for days but they were obviously full of tons of gluten, dairy, grease, and hot sauce. But I can def see hot cause aggravating symptoms more when you have a damaged GI tract. Consider if you had a burn or cut on your skin and putting hot sauce on it how it would feel. Heck, even when I have dry skin on my hands, plain lotion burns when I apply it.
|
lotion
|
Took way too much (for way too long).
|
Forums
|
Replies and Comments
|
No
|
No Media
|
https://www.reddit.com/r/tooktoomuch/comments/14gbksy/took_way_too_much_for_way_too_long/jp585xa/
|
nan
|
reddit.com
|
Neutrals
|
Jun 22, 2023 5:31:27 PM
|
Unknown
|
https://www.reddit.com/user/Consider2SidesPeace
|
Consider2SidesPeace
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
23251
|
1054447.0
|
nan
|
nan
|
nan
|
nan
|
1
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
11
|
nan
|
nan
|
nan
|
nan
|
r/tooktoomuch
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'Alcohol', 'type': 'product'}]}
|
Extract the food/beverage/supplement from this social media post:
Not cool... > Q - Why does alcohol give you the shakes? A - As alcohol leaves the body of a heavy drinker, the brain is flooded with more activity, the nervous system becomes hyperactive, and you may experience alcohol tremors or shakes. The shakes can happen as quickly as eight hours after your last drink.
|
109
|
Good
|
1781354152636839936
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
I'm interested in what ASMR you listen to when you want to relax/go to sleep. No rain/water sounds tho, that's literally the only audible thing that makes me anxious lol links would be nice
|
none
|
none
|
This post is about the user's preference for ASMR content to relax or fall asleep, specifically excluding rain or water sounds due to anxiety. Since it does not mention any food, beverage, or nutrient entities, no extraction is needed.
Final Output:
No relevant food, beverage, ingredient, or nutrient entities were extracted from this post.
|
{
"entities": [
{
"entity": "Greek yogurt",
"type": "product"
},
{
"entity": "Probiotics",
"type": "nutrient"
},
{
"entity": "Mint tea",
"type": "product"
},
{
"entity": "Peppermint oil capsules",
"type": "product"
}
]
}
|
(entity:Greek yogurt, type:product)
(entity:Probiotics, type:nutrient)
(entity:Mint tea, type:product)
(entity:Peppermint oil capsules, type:product)
|
nan
|
nan
|
nan
|
nan
|
nan
|
This happened to me as well. I really dug deep and started looking at all of the foods I ate for the week and which days were good and which days were bad. Turns out it was extremely greasy foods or alcohol/pop that triggered it for me. Needless to say, I gave up pop and booze. The weight loss for me is more than those. As Dave would day, I'm sick and tired of being sick and tired. Another side effect for me was increased cramping. I take one prilosec daily and 1 magnesium pill each day to help. So my recommendation would be to track your diet for the week and see what, if anything, is triggering this.
|
magnesium pill
|
nan
|
Twitter
|
Original
|
No
|
No Media
|
http://twitter.com/OYB_L1F3/statuses/1781354152636842010
|
nan
|
twitter.com
|
Positives
|
Apr 19, 2024 12:08:20 PM
|
Female
|
http://twitter.com/OYB_L1F3
|
Juna Tirzah | VTuber ????
|
OYB_L1F3
|
1473329119
|
United States
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
-
|
1250.0
|
nan
|
nan
|
link, ASMR
|
audible thing
|
1
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
-
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'Greek yogurt', 'type': 'product'}, {'entity': 'Probiotics', 'type': 'nutrient'}, {'entity': 'Mint tea', 'type': 'product'}, {'entity': 'Peppermint oil capsules', 'type': 'product'}]}
|
Extract the food/beverage/supplement from this social media post:
I'm interested in what ASMR you listen to when you want to relax/go to sleep. No rain/water sounds tho, that's literally the only audible thing that makes me anxious lol links would be nice
|
113
|
Mixed
|
BRDRDT2-t1_kwjcytg
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
This is the exact summary I was looking for, sure less hands on is good for some, but with 20+ years of experience I know exact carbs of nearly every food and now the basal rates needed, and am just looking to better control my fairly well controlled diabetes, so I think I will go against the dr's recommendation and go with the Tslim.
|
Tslim
|
product
|
Content Analysis: The user discusses their experience managing diabetes, mentioning their ability to estimate the carbohydrate content of foods and adjust basal insulin rates. They reference their decision to choose the Tslim insulin pump against a doctor's recommendation.
Context Determination:
Carbs refer to carbohydrates, which are macronutrients, making them a nutrient.
Tslim is an insulin pump, making it a product.
Entity Categorization:
"Carbs" qualify as a nutrient.
"Tslim" qualifies as a product.
|
{
"entities": [
{
"entity": "Carbs",
"type": "nutrient"
},
{
"entity": "Tslim",
"type": "product"
}
]
}
|
(entity:Carbs, type:nutrient)
(entity:Tslim, type:product)
|
nan
|
nan
|
nan
|
nan
|
nan
|
Came to say this! I also can't tolerate B12 (horrendous cystic acne). Took me way too long to connect it to the prenatal i was taking at the time ??ββοΈ It took about 2 weeks to clear up after I stopped taking that one. May I ask what brand you swapped to? I am currently taking each vitamin separately so I can avoid b12, but it would be handy if I could find another prenatal.
|
prenatal
|
Beta Bionics Ilet Pump Week 1 (from a Tandem User)
|
Forums
|
Replies and Comments
|
No
|
No Media
|
https://www.reddit.com/r/diabetes_t1/comments/1bcxc1q/beta_bionics_ilet_pump_week_1_from_a_tandem_user/kwjcytg/
|
nan
|
reddit.com
|
Positives
|
Mar 25, 2024 4:07:27 PM
|
Unknown
|
https://www.reddit.com/user/DIABEATHATASS
|
DIABEATHATASS
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
715
|
56084.0
|
nan
|
nan
|
exact summary, Tslim
|
nan
|
3
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
2
|
nan
|
nan
|
nan
|
nan
|
r/diabetes_t1
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'Carbs', 'type': 'nutrient'}, {'entity': 'Tslim', 'type': 'product'}]}
|
Extract the food/beverage/supplement from this social media post:
This is the exact summary I was looking for, sure less hands on is good for some, but with 20+ years of experience I know exact carbs of nearly every food and now the basal rates needed, and am just looking to better control my fairly well controlled diabetes, so I think I will go against the dr's recommendation and go with the Tslim.
|
56
|
Mixed
|
BRDRDT2-t1_kdkkbp8
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
I remember watching that one, it was hilarious indeed. That was a terrible, terrible idea. I mean, the booze looked good, but they were pouring cocktail after cocktail for him to try...
|
booze
|
product
|
Content Analysis: The post mentions "booze" and "cocktail," both of which refer to alcoholic beverages.
Context Determination:
"Booze" is a general term for alcoholic drinks, qualifying it as a product.
|
{
"entities": [
{
"entity": "Booze",
"type": "product"
},
{
"entity": "Cocktail",
"type": "product"
}
]
}
|
(entity:Booze, type:product)
(entity:Cocktail, type:product)
|
nan
|
nan
|
nan
|
nan
|
nan
|
You need to know, first, how much insulin you need to lower your blood sugar by a certain amount (e.g. from 172 to 100) and, second, how much you need for the carbohydrates that you had for breakfast and add then together to work out your total dose. Do you know these ratios and how to correct high blood sugars and adjust doses? The number of units that you took doesn't really mean anything to us. For one person, 6 units might have a very big effect but for another it might have very little effect. We all have different sensitivities to injected insulin.
|
breakfast
|
The video Chris regrets making
|
Forums
|
Replies and Comments
|
No
|
No Media
|
https://www.reddit.com/r/ABroadInJapan/comments/18j9vt2/the_video_chris_regrets_making/kdkkbp8/
|
nan
|
reddit.com
|
Neutrals
|
Dec 15, 2023 11:34:36 PM
|
Unknown
|
https://www.reddit.com/user/Ninjacherry
|
Ninjacherry
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
90727
|
18315.0
|
nan
|
nan
|
it
|
nan
|
1
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
9
|
nan
|
nan
|
nan
|
nan
|
r/ABroadInJapan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'Booze', 'type': 'product'}, {'entity': 'Cocktail', 'type': 'product'}]}
|
Extract the food/beverage/supplement from this social media post:
I remember watching that one, it was hilarious indeed. That was a terrible, terrible idea. I mean, the booze looked good, but they were pouring cocktail after cocktail for him to try...
|
66
|
Mixed
|
BRDRDT2-t1_lgld01m
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
I am working in Pharmacy. Get a medication contained hydrocortisone and cinchocaine hydrochloride. It will be gone in next couple days. Use the cream to soothe it. For your constipation, get a laxative medication (macrogol or psyllium husk or docusate sodium with senna) and drink alot of water.
|
hydrocortisone
|
ingredient
|
Content Analysis: The post mentions hydrocortisone and cinchocaine hydrochloride in the context of medication. It also discusses laxative medications like macrogol, psyllium husk, docusate sodium with senna, and recommends drinking water.
Context Determination:
"Hydrocortisone" is a medication, making it a product.
"Cinchocaine hydrochloride" is a medication, making it a product.
"Macrogol" is a laxative, making it a product.
"Psyllium husk" is an ingredient used for constipation, making it an ingredient.
"Docusate sodium with senna" is a combination of laxative medications, making it a product.
Entity Categorization:
"Hydrocortisone," "Cinchocaine hydrochloride," "Macrogol," and "Docusate sodium with senna" are products because they are medications.
"Psyllium husk" is an ingredient because it is used as a natural remedy for constipation.
|
{
"entities": [
{
"entity": "Hydrocortisone",
"type": "product"
},
{
"entity": "Cinchocaine hydrochloride",
"type": "product"
},
{
"entity": "Macrogol",
"type": "product"
},
{
"entity": "Psyllium husk",
"type": "ingredient"
},
{
"entity": "Docusate sodium with senna",
"type": "product"
}
]
}
|
(entity:Hydrocortisone, type:product)
(entity:Cinchocaine hydrochloride, type:product)
(entity:Macrogol, type:product)
(entity:Psyllium husk, type:ingredient)
(entity:Docusate sodium with senna, type:product)
|
nan
|
nan
|
nan
|
nan
|
nan
|
I see improvment when taking fat soluble Vitamins like a,e,k and d. Leads me to the conclusion, that my digestion (liver, bladder) is not working properly. Anyone with same experience?
|
d
|
Anyone develop hemorrhoids after being constipated so long?
|
Forums
|
Replies and Comments
|
No
|
No Media
|
https://www.reddit.com/r/ACL/comments/1ekjxbz/comment/lgld01m
|
nan
|
reddit.com
|
Neutrals
|
Aug 5, 2024 7:42:13 AM
|
Unknown
|
https://www.reddit.com/user/BabyRage12
|
BabyRage12
|
nan
|
t2_l5xdyk
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
13850
|
29742.0
|
nan
|
nan
|
nan
|
nan
|
0
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
0
|
nan
|
nan
|
nan
|
nan
|
r/ACL
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'Hydrocortisone', 'type': 'product'}, {'entity': 'Cinchocaine hydrochloride', 'type': 'product'}, {'entity': 'Macrogol', 'type': 'product'}, {'entity': 'Psyllium husk', 'type': 'ingredient'}, {'entity': 'Docusate sodium with senna', 'type': 'product'}]}
|
Extract the food/beverage/supplement from this social media post:
I am working in Pharmacy. Get a medication contained hydrocortisone and cinchocaine hydrochloride. It will be gone in next couple days. Use the cream to soothe it. For your constipation, get a laxative medication (macrogol or psyllium husk or docusate sodium with senna) and drink alot of water.
|
19
|
Good
|
https://apps.apple.com/us/app/mysugr-diabetes-tracker-log/id516509211#10206933908.25
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
Blood sugar tracker Easy to use and track blood sugar. Can see changes and trends.
|
none
|
none
|
There is no entity present in the post
|
{
"entities": [
{
"entity": "none",
"type": "none"
}
]
}
|
(entity:none, type:none)
|
nan
|
nan
|
gliner extracted blood sugar
|
nan
|
nan
|
Honestly with the health boom and everything we know, I can kinda see drinking beers casually kinda going the way of tobacco. Like if some one "just wants to drink one or two after work to relax" it's gonna be NA beer. Shrubs too! They're cocktails that use vinegar instead of Alcohol! Need to start making myself those as well!. Congrats on the Sobriety!
|
Shrubs
|
mysugr diabetes tracker log
|
Forums
|
nan
|
No
|
No Media
|
https://apps.apple.com/us/app/mysugr-diabetes-tracker-log/id516509211#10215239359
|
nan
|
apps.apple.com
|
Neutrals
|
Aug 3, 2023 8:20:00 AM
|
Unknown
|
nan
|
Marilynjoes
|
nan
|
nan
|
United States
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
-
|
nan
|
nan
|
nan
|
nan
|
nan
|
0
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
-
|
nan
|
nan
|
5.0
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'none', 'type': 'none'}]}
|
Extract the food/beverage/supplement from this social media post:
Blood sugar tracker Easy to use and track blood sugar. Can see changes and trends.
|
132
|
Good
|
https://www.opentable.co.th/r/elephant-and-castle-rathmines-dublin#OT-166656-117309-320056869302.4
|
Instruction
You are a specialized entity extraction system designed to identify and classify food, beverage, and nutritional entities in social media posts. Your task is to extract all relevant entities and accurately classify them as either products, ingredients, or nutrients based on their context.
Key Definitions
Product: A complete, ready-to-consume food or beverage
Packaged or prepared items consumed as standalone products
Finished dishes or meals
Brand name foods and drinks
Beverages (water, coffee, tea, juice, soda, etc.) when discussed as drinks to consume
General food categories consumed directly (fruits, vegetables, meats, etc.)
Basic food items eaten as they are (rice, potatoes, bread, etc.)
Supplements in their packaged form (e.g., vitamin pills, protein powder)
Ingredient: A component used in food preparation
Items used as parts of recipes
Components added to other foods
Raw food items used to create dishes
Flavoring agents, additives, or cooking components
ONLY when explicitly described as being used in preparation, not when consumed directly
Nutrient: A specific nutritional compound or dietary category
Macronutrients (protein, carbs, fat, fiber)
Vitamins and minerals
Specific nutritional compounds (omega-3, creatine, etc.)
Dietary components discussed for their nutritional properties
Biochemical components naturally present in food (amino acids, antioxidants, etc.)
NEVER includes water, which is always a beverage (product) or ingredient
Critical Classification Rules
Water is ALWAYS a Product or Ingredient, NEVER a Nutrient:
When water is discussed as something to drink, it's a product
When water is added to recipes, it's an ingredient
Water should NEVER be classified as a nutrient, even when its health benefits are discussed
Extract Each Entity Only Once:
If the same entity (e.g., "zinc") appears multiple times in the text, include it only ONCE in your output
Maintain case consistency (prefer lowercase unless it's a brand name)
Context is Essential: The same entity can be classified differently depending on context:
"I add protein powder to my smoothie" β protein powder = ingredient
"I take protein powder after workouts" β protein powder = product
"This food is high in protein" β protein = nutrient
Basic Food Items as Products: Foods like rice, potatoes, fruits, vegetables, meats, etc. should be classified as products when they are:
Mentioned as items being eaten directly
Discussed as dietary choices
Listed as food options
NOT when they are explicitly described as being added to recipes
Beverages are Products: Drinks like water, coffee, tea, juice, soda, etc. should be classified as products when they are:
Mentioned as beverages to consume
Discussed in terms of drinking them
Referenced in terms of their health effects
ONLY classified as ingredients when explicitly added to recipes
Separate Food Items from Their Nutrients:
In phrases like "fruit fiber," separate the food ("fruits" as product) from the nutrient ("fiber" as nutrient)
Do not extract combined terms like "fruit fiber" as a single entity
Nutrient Recognition: Pay special attention to:
Macronutrients: protein, carbohydrates (carbs), fat, fiber
Micronutrients: vitamins, minerals (zinc, iron, magnesium, copper, etc.)
Nutritional compounds: omega-3, collagen, probiotics
Terms like "high in X" or "source of X" often indicate nutrients
Remember: water is NEVER a nutrient
ONLY Extract Food, Beverage, and Nutritional Entities:
DO NOT extract health conditions (diabetes, heart disease, etc.)
DO NOT extract body metrics (blood sugar, cholesterol, weight, etc.)
DO NOT extract medications (unless they are clearly dietary supplements)
DO NOT extract non-food/beverage items (pesticides, herbicides, pollution, genetics, etc.)
DO NOT extract abstract concepts or general dietary approaches
If an entity doesn't fit cleanly into product, ingredient, or nutrient, do not extract it
Output Format Requirements
You MUST follow this exact format:
First, provide a VERY BRIEF Chain of Thought (CoT) reasoning - MAXIMUM 3 SENTENCES:
Focus only on the key entity classifications and why
Be extremely concise and direct
Then provide the JSON output in this exact format:
{
"entities": [
{
"entity": "name of first entity",
"type": "product/ingredient/nutrient"
},
{
"entity": "name of second entity",
"type": "product/ingredient/nutrient"
}
]
}
If no relevant entities are found, output:
{
"entities": []
}
Examples
Example 1: Post: "I add protein powder to my smoothies for extra nutrition. They taste better with frozen bananas and some Greek yogurt."
Chain of Thought: The post mentions "protein powder," "smoothies," "frozen bananas," and "Greek yogurt." "Protein powder," "frozen bananas," and "Greek yogurt" are ingredients added to smoothies, while "smoothies" are the finished product being consumed.
JSON Output:
{
"entities": [
{
"entity": "protein powder",
"type": "ingredient"
},
{
"entity": "smoothies",
"type": "product"
},
{
"entity": "frozen bananas",
"type": "ingredient"
},
{
"entity": "Greek yogurt",
"type": "ingredient"
}
]
}
Example 2: Post: "I can't think of practically any downside to drinking lots and lots of water. It's been linked to lowering your risk for everything from heart disease to Alzheimer's. Obviously you can overdo it but if you're drinking water only at meals or something similar, you should really consider adding in at least 2 more glasses between each meal."
Chain of Thought: The post mentions "water" in the context of drinking it as a beverage. "Water" is classified as a product because it's discussed as a drink to consume, not a nutrient or ingredient.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
}
]
}
Example 3: Post: "I'm simply pointing out that just because something contains a healthy ingredient in it, in this case water, that doesn't mean that the whole package is healthy to drink together. You could add a bunch of vitamins and minerals to coca-cola, to the extent that it's comparable to meat, that still wouldn't make it health food."
Chain of Thought: The post mentions "water," "vitamins," "minerals," "coca-cola," and "meat." "Coca-cola," "meat," and "water" are products because they're consumable food/beverage items, while "vitamins" and "minerals" are nutrients because they're discussed as nutritional components.
JSON Output:
{
"entities": [
{
"entity": "water",
"type": "product"
},
{
"entity": "vitamins",
"type": "nutrient"
},
{
"entity": "minerals",
"type": "nutrient"
},
{
"entity": "coca-cola",
"type": "product"
},
{
"entity": "meat",
"type": "product"
}
]
}
|
Extract the food/beverage/supplement from this social media post:
|
We had to ask. She didn't cleaned the table of empty plates. We have askes for Fanta for the kids menu, she brought cordial juice. In fairness, the food was delicious, so compliments to the chef. We won't return, due to the service, staff attitude and the lack of cleanliness in the restaurant.
|
Fanta
|
product
|
The user is talking about ordering Fanta at a restaraunt but receiving cordial juice instead.
|
{
"entities": [
{
"entity": "Fanta",
"type": "product"
},
{
"entity": "cordial juice",
"type": "product"
}
]
}
|
(entity:Fanta, type: product)
(entity:cordial juice, type:product)
|
nan
|
nan
|
nan
|
nan
|
nan
|
I'm not talking about UK Fanta, or any Fanta for that matter. I'm talking about the juice from an actual orange, and that it's yellow. Also not sure why you presume I'm from the UK, I'm in the US and I don't really care what color your artificially colored and flavored pop is
|
UK Fanta
|
Elephant & Castle - Rathmines Restaurant - Dublin, Co. Dublin | OpenTable
|
Consumer Reviews
|
nan
|
No
|
Image
|
https://www.opentable.co.th/r/elephant-and-castle-rathmines-dublin#OT-166656-120312-110216116861
|
opentable.co.th
|
Neutrals
|
Jun 30, 2024 9:12:00 PM
|
Unknown
|
nan
|
anonymous
|
nan
|
nan
|
Thailand
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
-
|
nan
|
nan
|
nan
|
nan
|
nan
|
0
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
-
|
nan
|
nan
|
3.0
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
nan
|
{'entities': [{'entity': 'Fanta', 'type': 'product'}, {'entity': 'cordial juice', 'type': 'product'}]}
|
Extract the food/beverage/supplement from this social media post:
We had to ask. She didn't cleaned the table of empty plates. We have askes for Fanta for the kids menu, she brought cordial juice. In fairness, the food was delicious, so compliments to the chef. We won't return, due to the service, staff attitude and the lack of cleanliness in the restaurant.
|
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