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---
dataset_info:
features:
- name: review_id
dtype: string
- name: username
dtype: string
- name: user_profile
dtype: string
- name: date
dtype: string
- name: rating
dtype: int64
- name: tags
sequence: string
- name: text
dtype: string
- name: helpful_votes
dtype: int64
- name: edited
dtype: bool
- name: photos
sequence: string
splits:
- name: train
num_bytes: 5556812
num_examples: 14715
download_size: 2282920
dataset_size: 5556812
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Good Old-Fashioned Pancakes Reviews 🥞
This dataset contains user reviews of the **Good Old-Fashioned Pancakes** recipe from AllRecipes. It includes user ratings, comments, and additional metadata.
## Dataset Details 📋
- **Name**: Good Old-Fashioned Pancakes Reviews
- **Language**: English 🇬🇧
- **Format**: JSON structured as a Hugging Face dataset
## Data Structure 📊
Each review entry contains the following fields:
| Field | Type | Description |
|---------------|--------|-------------|
| `review_id` | string | Unique identifier for each review |
| `username` | string | Username of the reviewer |
| `user_profile`| string | URL to the reviewer's profile |
| `date` | string | Date of the review (MM/DD/YYYY) |
| `rating` | int | Rating given by the user (1-5) |
| `tags` | list | Tags describing the review |
| `text` | string | Full review text |
| `helpful_votes` | int | Number of users who found the review helpful |
| `edited` | bool | Whether the review was edited |
| `photos` | list | URLs of photos uploaded with the review |
## Usage 🚀
To load the dataset using the Hugging Face datasets library:
```python
from datasets import load_dataset
dataset = load_dataset("derek-thomas/good-old-fashioned-pancakes-reviews")
print(dataset)
```
## Contribution 🤝
If you'd like to contribute or report issues, feel free to open a [discussion](https://huggingface.co/datasets/derek-thomas/good-old-fashioned-pancakes-reviews/discussions) or PR on Hugging Face Datasets.
Enjoy the dataset and happy cooking! 🥞🔥 |