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Upload folder using huggingface_hub

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- ## UniRec datasets (file dump)
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-
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- This folder is structured for uploading to a Hugging Face **dataset repo** via `huggingface_hub.upload_folder(...)`.
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-
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- ### Contents
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-
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- #### Amazon Beauty & Personal Care
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - `amazon_beauty/raw/`
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- - `Beauty_and_Personal_Care.jsonl(.gz)`: review/interaction records (raw JSON Lines).
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- - `meta_Beauty_and_Personal_Care.jsonl(.gz)`: item metadata (raw JSON Lines).
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  - `amazon_beauty/recbole/`
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- - `Amazon_Beauty_and_Personal_Care.inter`: RecBole-style interaction file (TSV).
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  - `Amazon_Beauty_and_Personal_Care.item`: RecBole-style item feature file (TSV).
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- #### Amazon Baby Products
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  - `amazon_baby/raw/`
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- - `Baby_Products.jsonl(.gz)`
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- - `meta_Baby_Products.jsonl(.gz)`
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  - `amazon_baby/recbole/`
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- - `Amazon_Baby_Products.inter`
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- - `Amazon_Baby_Products.item`
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-
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- ### About Hugging Face “visualization”
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-
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- Hugging Face’s dataset viewer renders **tabular splits** best (Parquet/CSV/JSON arrays). Large `.jsonl` files and RecBole `.inter/.item` TSVs may not preview well.
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-
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- Recommended: add small, tabular **preview** files under `preview/`:
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- - `preview/amazon_beauty_interactions.parquet`
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- - `preview/amazon_beauty_items.parquet`
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- - `preview/amazon_baby_interactions.parquet`
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- - `preview/amazon_baby_items.parquet`
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-
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- These can be small samples (e.g., first 5k–50k rows) with clean columns. The full raw files can still live under `raw/` for reproducibility.
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+ ---
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+ dataset_name: UniRec-Amazon
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+ pretty_name: UniRec Amazon Sequential Recommendation Datasets
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+ tags:
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+ - recommendation
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+ - recsys
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+ - amazon
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+ - sequential-recommendation
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+ - clickstream
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+ - ranking
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+ language:
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+ - en
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+ license: other # Original data subject to Amazon / source terms
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+ task_categories:
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+ - recommendation
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+ task_ids:
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+ - next-item-prediction
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+ configs:
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+ - config_name: amazon_beauty
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+ data_files:
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+ - amazon_beauty/**
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+ - config_name: amazon_baby
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+ data_files:
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+ - amazon_baby/**
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+ notes:
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+ - "Raw data derived from Amazon product and interaction datasets; redistributed here in processed form."
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+ - "Yelp data is NOT included due to its license; users should obtain Yelp data separately and process it locally."
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+ ---
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+
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+ ## UniRec datasets
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+
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+ This dataset repo contains pre-processed Amazon recommendation data used in the UniRec project.
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+
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+ ### Amazon Beauty & Personal Care
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  - `amazon_beauty/raw/`
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+ - `Beauty_and_Personal_Care.jsonl(.gz)`: raw review / interaction records (JSON Lines).
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+ - `meta_Beauty_and_Personal_Care.jsonl(.gz)`: item metadata (JSON Lines).
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  - `amazon_beauty/recbole/`
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+ - `Amazon_Beauty_and_Personal_Care.inter`: RecBole-style interaction file (TSV; user–item–rating–timestamp).
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  - `Amazon_Beauty_and_Personal_Care.item`: RecBole-style item feature file (TSV).
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+ ### Amazon Baby Products
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  - `amazon_baby/raw/`
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+ - `Baby_Products.jsonl(.gz)`: raw review / interaction records (JSON Lines).
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+ - `meta_Baby_Products.jsonl(.gz)`: item metadata (JSON Lines).
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  - `amazon_baby/recbole/`
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+ - `Amazon_Baby_Products.inter`: RecBole-style interaction file (TSV).
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+ - `Amazon_Baby_Products.item`: RecBole-style item feature file (TSV).
 
 
 
 
 
 
 
 
 
 
 
 
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