Datasets:
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Parent(s):
Duplicate from AmirMohseni/GroceryList
Browse filesCo-authored-by: Amir Mohseni <AmirMohseni@users.noreply.huggingface.co>
- .gitattributes +58 -0
- README.md +62 -0
- data.csv +226 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Audio files - uncompressed
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*.sam filter=lfs diff=lfs merge=lfs -text
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*.raw filter=lfs diff=lfs merge=lfs -text
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# Audio files - compressed
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*.webm filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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tags:
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- text-classification
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---
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# GroceryList Dataset
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## Dataset Summary
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The **GroceryList** dataset consists of grocery items and their corresponding categories. It is designed to assist in tasks such as grocery item classification, shopping list organization, and natural language understanding related to common grocery-related terms. The dataset contains only a training split and is not pre-divided into test or validation sets.
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It includes two main columns:
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1. **Item**: Contains the names of various grocery items such as "Apple," "Banana," "Milk," etc.
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2. **Category**: Corresponds to the category of the grocery item, such as "Produce," "Dairy & Eggs," "Meat & Seafood," etc.
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This dataset is ideal for machine learning tasks related to text classification, particularly in retail and grocery applications.
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---
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## Supported Tasks and Use Cases
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The **GroceryList** dataset supports the following tasks:
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- **Text Classification**: Classifying grocery items into predefined categories.
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- **Shopping List Categorization**: Automatically organizing items in shopping lists into categories.
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- **Retail Data Analysis**: Developing models for understanding customer grocery behavior.
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---
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## Dataset Structure
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The dataset consists only of a training split. Users can create their own validation and test sets if required.
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### Columns:
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- **item** (string): The name of the grocery item (e.g., "Apple," "Milk").
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- **category** (string): The category to which the item belongs (e.g., "Produce," "Dairy & Eggs").
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### Example Entry:
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| Item | Category |
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|-------|----------|
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| Apple | Produce |
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| Banana | Produce |
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| Milk | Dairy & Eggs |
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---
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## Dataset Usage
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To use the dataset in your Hugging Face environment, load it as follows:
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```python
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from datasets import load_dataset
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dataset = load_dataset("AmirMohseni/GroceryList")
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```
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Once loaded, you can preprocess and use the data for text classification or other related tasks. Note that the dataset contains only the training data, and you may want to split it manually for validation and testing.
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## License
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This dataset is licensed under the Apache-2.0 License.
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data.csv
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Item,Category
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apple,Produce
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| 3 |
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banana,Produce
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| 4 |
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orange,Produce
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| 5 |
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lettuce,Produce
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| 6 |
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carrot,Produce
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| 7 |
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broccoli,Produce
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| 8 |
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tomato,Produce
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| 9 |
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spinach,Produce
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| 10 |
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grapes,Produce
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| 11 |
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pear,Produce
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| 12 |
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kiwi,Produce
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| 13 |
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mango,Produce
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| 14 |
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strawberry,Produce
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| 15 |
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blueberry,Produce
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| 16 |
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zucchini,Produce
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| 17 |
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cucumber,Produce
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| 18 |
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avocado,Produce
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| 19 |
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chicken,Meat & Seafood
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| 20 |
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beef,Meat & Seafood
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| 21 |
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pork,Meat & Seafood
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| 22 |
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salmon,Meat & Seafood
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| 23 |
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tuna,Meat & Seafood
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| 24 |
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shrimp,Meat & Seafood
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| 25 |
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crab,Meat & Seafood
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| 26 |
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steak,Meat & Seafood
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| 27 |
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lamb,Meat & Seafood
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| 28 |
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bacon,Meat & Seafood
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| 29 |
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sardines,Meat & Seafood
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| 30 |
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trout,Meat & Seafood
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| 31 |
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tilapia,Meat & Seafood
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| 32 |
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cod,Meat & Seafood
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| 33 |
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turkey breast,Meat & Seafood
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| 34 |
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duck,Meat & Seafood
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| 35 |
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lobster,Meat & Seafood
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| 36 |
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milk,Dairy & Eggs
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| 37 |
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cheese,Dairy & Eggs
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| 38 |
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yogurt,Dairy & Eggs
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| 39 |
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butter,Dairy & Eggs
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| 40 |
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eggs,Dairy & Eggs
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| 41 |
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cream,Dairy & Eggs
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| 42 |
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sour cream,Dairy & Eggs
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| 43 |
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ice cream,Dairy & Eggs
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| 44 |
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buttermilk,Dairy & Eggs
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| 45 |
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cottage cheese,Dairy & Eggs
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| 46 |
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whipped cream,Dairy & Eggs
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| 47 |
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ghee,Dairy & Eggs
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| 48 |
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feta cheese,Dairy & Eggs
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| 49 |
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goat cheese,Dairy & Eggs
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| 50 |
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ricotta,Dairy & Eggs
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| 51 |
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cream cheese,Dairy & Eggs
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| 52 |
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bread,Bakery
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| 53 |
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bagel,Bakery
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| 54 |
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croissant,Bakery
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| 55 |
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muffin,Bakery
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| 56 |
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cake,Bakery
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| 57 |
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cookie,Bakery
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| 58 |
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donut,Bakery
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| 59 |
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brownie,Bakery
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| 60 |
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brioche,Bakery
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| 61 |
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pita,Bakery
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| 62 |
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ciabatta,Bakery
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| 63 |
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sourdough,Bakery
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| 64 |
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biscuit,Bakery
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| 65 |
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waffle,Bakery
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| 66 |
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crackers,Bakery
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| 67 |
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pastry,Bakery
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| 68 |
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flour,Pantry
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| 69 |
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sugar,Pantry
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| 70 |
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salt,Pantry
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| 71 |
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pepper,Pantry
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| 72 |
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oil,Pantry
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vinegar,Pantry
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| 74 |
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pasta sauce,Pantry
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| 75 |
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peanut butter,Pantry
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| 76 |
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honey,Pantry
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| 77 |
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soy sauce,Pantry
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| 78 |
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tomato paste,Pantry
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| 79 |
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oats,Pantry
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| 80 |
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rice,Pantry
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| 81 |
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cereal,Pantry
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| 82 |
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spices,Pantry
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| 83 |
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herbs,Pantry
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| 84 |
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yeast,Pantry
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| 85 |
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canned tuna,Pantry
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| 86 |
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frozen pizza,Frozen Foods
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| 87 |
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frozen vegetables,Frozen Foods
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| 88 |
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ice cream,Frozen Foods
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| 89 |
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frozen fries,Frozen Foods
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| 90 |
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frozen chicken wings,Frozen Foods
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| 91 |
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frozen fish,Frozen Foods
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| 92 |
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frozen berries,Frozen Foods
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| 93 |
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frozen waffles,Frozen Foods
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| 94 |
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frozen dinners,Frozen Foods
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| 95 |
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frozen peas,Frozen Foods
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| 96 |
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frozen spinach,Frozen Foods
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| 97 |
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frozen shrimp,Frozen Foods
|
| 98 |
+
soda,Beverages
|
| 99 |
+
juice,Beverages
|
| 100 |
+
water,Beverages
|
| 101 |
+
coffee,Beverages
|
| 102 |
+
tea,Beverages
|
| 103 |
+
wine,Beverages
|
| 104 |
+
beer,Beverages
|
| 105 |
+
energy drink,Beverages
|
| 106 |
+
milkshake,Beverages
|
| 107 |
+
sports drink,Beverages
|
| 108 |
+
smoothie,Beverages
|
| 109 |
+
sparkling water,Beverages
|
| 110 |
+
lemonade,Beverages
|
| 111 |
+
iced tea,Beverages
|
| 112 |
+
hot chocolate,Beverages
|
| 113 |
+
chips,Snacks
|
| 114 |
+
popcorn,Snacks
|
| 115 |
+
chocolate bar,Snacks
|
| 116 |
+
candy,Snacks
|
| 117 |
+
cookies,Snacks
|
| 118 |
+
pretzels,Snacks
|
| 119 |
+
crackers,Snacks
|
| 120 |
+
granola bars,Snacks
|
| 121 |
+
nuts,Snacks
|
| 122 |
+
trail mix,Snacks
|
| 123 |
+
beef jerky,Snacks
|
| 124 |
+
fruit snacks,Snacks
|
| 125 |
+
cheese puffs,Snacks
|
| 126 |
+
rice cakes,Snacks
|
| 127 |
+
dried fruit,Snacks
|
| 128 |
+
protein bars,Snacks
|
| 129 |
+
toothpaste,Personal Care
|
| 130 |
+
shampoo,Personal Care
|
| 131 |
+
soap,Personal Care
|
| 132 |
+
deodorant,Personal Care
|
| 133 |
+
lotion,Personal Care
|
| 134 |
+
toothbrush,Personal Care
|
| 135 |
+
conditioner,Personal Care
|
| 136 |
+
razor,Personal Care
|
| 137 |
+
makeup,Personal Care
|
| 138 |
+
hand sanitizer,Personal Care
|
| 139 |
+
face wash,Personal Care
|
| 140 |
+
body wash,Personal Care
|
| 141 |
+
mouthwash,Personal Care
|
| 142 |
+
shaving cream,Personal Care
|
| 143 |
+
nail polish,Personal Care
|
| 144 |
+
facial tissue,Personal Care
|
| 145 |
+
detergent,Household
|
| 146 |
+
dish soap,Household
|
| 147 |
+
paper towels,Household
|
| 148 |
+
toilet paper,Household
|
| 149 |
+
cleaning spray,Household
|
| 150 |
+
trash bags,Household
|
| 151 |
+
batteries,Household
|
| 152 |
+
light bulbs,Household
|
| 153 |
+
aluminum foil,Household
|
| 154 |
+
plastic wrap,Household
|
| 155 |
+
sponges,Household
|
| 156 |
+
cleaning wipes,Household
|
| 157 |
+
bleach,Household
|
| 158 |
+
air freshener,Household
|
| 159 |
+
dog food,Pet Supplies
|
| 160 |
+
cat food,Pet Supplies
|
| 161 |
+
bird seed,Pet Supplies
|
| 162 |
+
cat litter,Pet Supplies
|
| 163 |
+
dog leash,Pet Supplies
|
| 164 |
+
dog treats,Pet Supplies
|
| 165 |
+
pet shampoo,Pet Supplies
|
| 166 |
+
aquarium filter,Pet Supplies
|
| 167 |
+
fish food,Pet Supplies
|
| 168 |
+
dog collar,Pet Supplies
|
| 169 |
+
hamster bedding,Pet Supplies
|
| 170 |
+
rabbit pellets,Pet Supplies
|
| 171 |
+
cat scratcher,Pet Supplies
|
| 172 |
+
dog bed,Pet Supplies
|
| 173 |
+
deli meat,Deli
|
| 174 |
+
cheese slices,Deli
|
| 175 |
+
sandwich meat,Deli
|
| 176 |
+
salami,Deli
|
| 177 |
+
ham,Deli
|
| 178 |
+
turkey,Deli
|
| 179 |
+
bologna,Deli
|
| 180 |
+
roast beef,Deli
|
| 181 |
+
prosciutto,Deli
|
| 182 |
+
pepperoni,Deli
|
| 183 |
+
pastrami,Deli
|
| 184 |
+
chorizo,Deli
|
| 185 |
+
mortadella,Deli
|
| 186 |
+
ketchup,Condiments & Sauces
|
| 187 |
+
mustard,Condiments & Sauces
|
| 188 |
+
mayonnaise,Condiments & Sauces
|
| 189 |
+
bbq sauce,Condiments & Sauces
|
| 190 |
+
soy sauce,Condiments & Sauces
|
| 191 |
+
hot sauce,Condiments & Sauces
|
| 192 |
+
ranch dressing,Condiments & Sauces
|
| 193 |
+
salad dressing,Condiments & Sauces
|
| 194 |
+
pesto,Condiments & Sauces
|
| 195 |
+
tartar sauce,Condiments & Sauces
|
| 196 |
+
hoisin sauce,Condiments & Sauces
|
| 197 |
+
sriracha,Condiments & Sauces
|
| 198 |
+
tahini,Condiments & Sauces
|
| 199 |
+
vinaigrette,Condiments & Sauces
|
| 200 |
+
olive tapenade,Condiments & Sauces
|
| 201 |
+
canned beans,Canned Goods
|
| 202 |
+
canned corn,Canned Goods
|
| 203 |
+
canned tomatoes,Canned Goods
|
| 204 |
+
canned soup,Canned Goods
|
| 205 |
+
canned tuna,Canned Goods
|
| 206 |
+
canned peas,Canned Goods
|
| 207 |
+
canned chili,Canned Goods
|
| 208 |
+
canned mushrooms,Canned Goods
|
| 209 |
+
canned pineapple,Canned Goods
|
| 210 |
+
canned peaches,Canned Goods
|
| 211 |
+
canned carrots,Canned Goods
|
| 212 |
+
canned olives,Canned Goods
|
| 213 |
+
pasta,Pasta & Grains
|
| 214 |
+
rice,Pasta & Grains
|
| 215 |
+
quinoa,Pasta & Grains
|
| 216 |
+
couscous,Pasta & Grains
|
| 217 |
+
barley,Pasta & Grains
|
| 218 |
+
oats,Pasta & Grains
|
| 219 |
+
polenta,Pasta & Grains
|
| 220 |
+
macaroni,Pasta & Grains
|
| 221 |
+
spaghetti,Pasta & Grains
|
| 222 |
+
fettuccine,Pasta & Grains
|
| 223 |
+
bulgur,Pasta & Grains
|
| 224 |
+
brown rice,Pasta & Grains
|
| 225 |
+
wild rice,Pasta & Grains
|
| 226 |
+
noodles,Pasta & Grains
|