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README.md
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@@ -88,117 +88,66 @@ In the Amazon Reviews'23, we provide:
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| Unknown | 23.1M | 13.2M | 63.8M | 3.3B | 232.8M | <a href='https://datarepo.eng.ucsd.edu/mcauley_group/data/amazon_2023/raw/review_categories/Unknown.jsonl.gz' download> review</a>, <a href='https://datarepo.eng.ucsd.edu/mcauley_group/data/amazon_2023/raw/meta_categories/meta_Unknown.jsonl.gz' download> meta </a> |
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> Check Pure ID files and corresponding data splitting strategies in <b>[Common Data Processing](data_processing/index)</b> section.
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## Quick Start
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### Load User Reviews
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```
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import
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for line in fp:
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print(json.loads(line.strip()))
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```
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```text
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"mediumImageUrl": "https://m.media-amazon.com/images/I/81FN4c0VHzL._SL800_.jpg",
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"largeImageUrl": "https://m.media-amazon.com/images/I/81FN4c0VHzL._SL1600_.jpg",
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"attachmentType": "IMAGE"
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}
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],
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"asin": "B088SZDGXG",
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"verifiedPurchase": true,
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"parent_asin": "B08BBQ29N5",
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"user_id": "AEYORY2AVPMCPDV57CE337YU5LXA"
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}
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......
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```
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### Load Item Metadata
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```
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file = # e.g., "meta_All_Beauty.jsonl", downloaded from the `meta` link above
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with open(file, 'r') as fp:
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for line in fp:
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print(json.loads(line.strip()))
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```
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```text
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"images": [
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{
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"hiRes": "https://m.media-amazon.com/images/I/41a1Sj7Q20L._SL1005_.jpg",
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"thumb": "https://m.media-amazon.com/images/I/31dlCd7tHSL._SS40_.jpg",
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"large": "https://m.media-amazon.com/images/I/31dlCd7tHSL.jpg",
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"variant": "MAIN"
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},
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{
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"hiRes": "https://m.media-amazon.com/images/I/510BWq7O95L._SL1005_.jpg",
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"thumb": "https://m.media-amazon.com/images/I/31sLajrdHOL._SS40_.jpg",
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"large": "https://m.media-amazon.com/images/I/31sLajrdHOL.jpg",
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"variant": "PT01"
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},
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......
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],
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"videos": [],
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"boughtTogether": null,
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"store": "Lurrose",
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"categories": [],
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"details": {
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"Color": "As Shown",
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"Size": "Large",
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"Material": "Acrylonitrile Butadiene Styrene (ABS)",
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"Brand": "Lurrose",
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"Style": "French",
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"Product Dimensions": "5.63 x 2.83 x 0.39 inches; 1.9 Ounces",
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"UPC": "799768026253",
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"Manufacturer": "Lurrose"
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},
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"parent_asin": "B07G9GWFSM"
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}
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......
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```
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Check data loading examples and Huggingface datasets APIs in <b>[Common Data Loading](data_loading/index)</b> section.
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```
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## Data Fields
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| Unknown | 23.1M | 13.2M | 63.8M | 3.3B | 232.8M | <a href='https://datarepo.eng.ucsd.edu/mcauley_group/data/amazon_2023/raw/review_categories/Unknown.jsonl.gz' download> review</a>, <a href='https://datarepo.eng.ucsd.edu/mcauley_group/data/amazon_2023/raw/meta_categories/meta_Unknown.jsonl.gz' download> meta </a> |
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> Check Pure ID files and corresponding data splitting strategies in <b>[Common Data Processing](https://amazon-reviews-2023.github.io/data_processing/index.html)</b> section.
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## Quick Start
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### Load User Reviews
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```python
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from datasets import load_dataset
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dataset = load_dataset("McAuley-Lab/Amazon-Reviews-2023", "raw_review_All_Beauty", trust_remote_code=True)
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print(dataset["full"][0])
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```
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```text
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{'rating': 5.0,
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'title': 'Such a lovely scent but not overpowering.',
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'text': "This spray is really nice. It smells really good, goes on really fine, and does the trick. I will say it feels like you need a lot of it though to get the texture I want. I have a lot of hair, medium thickness. I am comparing to other brands with yucky chemicals so I'm gonna stick with this. Try it!",
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'images': [],
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'asin': 'B00YQ6X8EO',
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'parent_asin': 'B00YQ6X8EO',
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'user_id': 'AGKHLEW2SOWHNMFQIJGBECAF7INQ',
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'timestamp': 1588687728923,
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'helpful_vote': 0,
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'verified_purchase': True}
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```
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### Load Item Metadata
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```
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dataset = load_dataset("McAuley-Lab/Amazon-Reviews-2023", "raw_meta_All_Beauty", split="full", trust_remote_code=True)
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print(dataset[0])
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```
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```text
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{'main_category': 'All Beauty',
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'title': 'Howard LC0008 Leather Conditioner, 8-Ounce (4-Pack)',
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'average_rating': 4.8,
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'rating_number': 10,
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'features': [],
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'description': [],
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'price': 'None',
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'images': {'hi_res': [None,
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'https://m.media-amazon.com/images/I/71i77AuI9xL._SL1500_.jpg'],
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'large': ['https://m.media-amazon.com/images/I/41qfjSfqNyL.jpg',
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'https://m.media-amazon.com/images/I/41w2yznfuZL.jpg'],
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'thumb': ['https://m.media-amazon.com/images/I/41qfjSfqNyL._SS40_.jpg',
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'https://m.media-amazon.com/images/I/41w2yznfuZL._SS40_.jpg'],
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'variant': ['MAIN', 'PT01']},
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'videos': {'title': [], 'url': [], 'user_id': []},
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'store': 'Howard Products',
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'categories': [],
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'details': '{"Package Dimensions": "7.1 x 5.5 x 3 inches; 2.38 Pounds", "UPC": "617390882781"}',
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'parent_asin': 'B01CUPMQZE',
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'bought_together': None,
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'subtitle': None,
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'author': None}
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```
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> Check data loading examples and Huggingface datasets APIs in <b>[Common Data Loading](https://amazon-reviews-2023.github.io/data_loading/index.html)</b> section.
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## Data Fields
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