Milutin Studen
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README.md
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# Amazon All Beauty Dataset
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## Usage
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### Download metadata
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### Download reviews
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```python
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metadata = load_dataset(path="smartcat/Amazon_All_Beauty_2018", name="reviews", split="train")
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```
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# Amazon All Beauty Dataset
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## Directory Structure
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- **metadata**: Contains product information.
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- **reviews**: Contains user reviews about the products.
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- **filtered**:
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- **e5-base-v2_embeddings.jsonl**: Contains "asin" and "embeddings" created with [e5-base-v2](https://huggingface.co/intfloat/e5-base-v2).
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- **metadata.jsonl**: Contains "asin" and "text", where text is created from the title, description, brand, main category, and category.
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- **reviews.jsonl**: Contains "reviewerID", "reviewTime", and "asin". Reviews are filtered to include only perfect 5-star ratings with a minimum of 5 ratings.
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## Usage
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### Download metadata
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### Download reviews
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```python
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metadata = load_dataset(path="smartcat/Amazon_All_Beauty_2018", name="reviews", split="train")
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```
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### Download filtered files
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```
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embeddibgs = load_dataset(
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path="smart cat/Amazon_All_Beauty_2018",
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data_files="filtered/reviews.jsonl",
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split="train",
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)
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```
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**📎 Note:** You can set any file or list of files from the "filtered" directory as the "data_files" argument.
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