From the CORGIS Dataset Project
By Sam Donald
Version 1.0.0, created 10/28/2022
Tags: Coffee, Cupping
There is data for both Arabica and Robusta beans, across many countries and professionally rated on a 0-100 scale. All sorts of scoring/ratings for things like acidity, sweetness, fragrance, balance, etc.
Each row represents A specific coffee.
Index | Type | Example Value |
---|---|---|
0 | dict | { } |
1 | dict | (same structure) |
2 | dict | (same structure) |
... | ... | ... |
Key | Type | Example Value | Description |
---|---|---|---|
"Location" |
dict | { } | |
"Year" |
int |
2010
|
Production year |
"Data" |
dict | { } |
Key | Type | Example Value | Description |
---|---|---|---|
"Country" |
str |
"United States"
|
Country where the coffee was produced |
"Region" |
str |
"kona"
|
Region where the coffee was produced |
"Altitude" |
dict | { } |
Key | Type | Example Value | Description |
---|---|---|---|
"Min" |
int |
0
|
Min altitude of the farm |
"Max" |
int |
0
|
Max altitude of the farm |
"Average" |
int |
0
|
Average altitude of the farm |
Key | Type | Example Value | Description |
---|---|---|---|
"Owner" |
str |
"kona pacific farmers cooperative"
|
Owner of the coffee |
"Type" |
dict | { } | |
"Production" |
dict | { } | |
"Scores" |
dict | { } | |
"Color" |
str |
"Unknown"
|
Bean color |
Key | Type | Example Value | Description |
---|---|---|---|
"Species" |
str |
"Arabica"
|
Species of the coffee |
"Variety" |
str |
"nan"
|
Variety of the coffee |
"Processing method" |
str |
"nan"
|
Processing method used |
Key | Type | Example Value | Description |
---|---|---|---|
"Number of bags" |
int |
25
|
Number of bags tested |
"Bag weight" |
float |
45.3592
|
Bag weight tested |
Key | Type | Example Value | Description |
---|---|---|---|
"Aroma" |
float |
8.25
|
Aroma score 0-10 |
"Flavor" |
float |
8.42
|
Flavor score 0-10 |
"Aftertaste" |
float |
8.08
|
Aftertaste score 0-10 |
"Acidity" |
float |
7.75
|
Acidity score 0-10 |
"Body" |
float |
7.67
|
Body score 0-10 |
"Balance" |
float |
7.83
|
Balance score 0-10 |
"Uniformity" |
float |
10.0
|
Uniformity score 0-10 |
"Sweetness" |
float |
10.0
|
Sweetness score 0-10 |
"Moisture" |
float |
0.0
|
Moisture score 0-10 |
"Total" |
float |
86.25
|
Total score |
Download all of the following files.
import coffee
coffee = coffee.get_coffee()