Add task categories and paper link
#2
by nielsr HF Staff - opened
README.md
CHANGED
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@@ -1,58 +1,54 @@
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---
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configs:
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- config_name: AmazonReviews2014-Beauty
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data_files:
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- split: val
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-
path:
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- split: test
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-
path:
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-
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- config_name: AmazonReviews2014-Sports_and_Outdoors
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data_files:
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- split: val
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-
path:
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- split: test
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-
path:
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-
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- config_name: AmazonReviews2023-Industrial_and_Scientific
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data_files:
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- split: val
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-
path:
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- split: test
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-
path:
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-
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- config_name: AmazonReviews2023-Musical_Instruments
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data_files:
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- split: val
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-
path:
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- split: test
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-
path:
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-
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- config_name: AmazonReviews2023-Office_Products
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data_files:
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- split: val
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-
path:
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- split: test
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-
path:
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-
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- config_name: Steam
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data_files:
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- split: val
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-
path:
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- split: test
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-
path:
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-
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- config_name: Yelp-Yelp_2020
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data_files:
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- split: val
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-
path:
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- split: test
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-
path:
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---
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# MemGen Annotations
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This is the annotation dataset for
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<a href="https://huggingface.co/papers/2603.19809"><img src="https://img.shields.io/badge/Paper-ArXiv-red"></a>
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<a href="https://github.com/Jamesding000/MemGen-GR"><img src="https://img.shields.io/badge/Code-GitHub-black"></a>
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@@ -91,4 +87,4 @@ ds = (ds
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.add_column("master", labels["master"])
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.add_column("subcategories", labels["subcategories"])
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.add_column("all_labels", labels["all_labels"]))
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```
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---
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task_categories:
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- other
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configs:
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- config_name: AmazonReviews2014-Beauty
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data_files:
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- split: val
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path: AmazonReviews2014-Beauty/val.jsonl
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- split: test
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path: AmazonReviews2014-Beauty/test.jsonl
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- config_name: AmazonReviews2014-Sports_and_Outdoors
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data_files:
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- split: val
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path: AmazonReviews2014-Sports_and_Outdoors/val.jsonl
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- split: test
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path: AmazonReviews2014-Sports_and_Outdoors/test.jsonl
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- config_name: AmazonReviews2023-Industrial_and_Scientific
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data_files:
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- split: val
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path: AmazonReviews2023-Industrial_and_Scientific/val.jsonl
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- split: test
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path: AmazonReviews2023-Industrial_and_Scientific/test.jsonl
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- config_name: AmazonReviews2023-Musical_Instruments
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data_files:
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- split: val
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path: AmazonReviews2023-Musical_Instruments/val.jsonl
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- split: test
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path: AmazonReviews2023-Musical_Instruments/test.jsonl
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- config_name: AmazonReviews2023-Office_Products
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data_files:
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- split: val
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path: AmazonReviews2023-Office_Products/val.jsonl
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- split: test
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path: AmazonReviews2023-Office_Products/test.jsonl
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- config_name: Steam
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data_files:
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- split: val
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path: Steam/val.jsonl
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- split: test
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path: Steam/test.jsonl
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- config_name: Yelp-Yelp_2020
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data_files:
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- split: val
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path: Yelp-Yelp_2020/val.jsonl
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- split: test
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path: Yelp-Yelp_2020/test.jsonl
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---
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# MemGen Annotations
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This is the annotation dataset for the paper **[How Well Does Generative Recommendation Generalize?](https://huggingface.co/papers/2603.19809)**.
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<a href="https://huggingface.co/papers/2603.19809"><img src="https://img.shields.io/badge/Paper-ArXiv-red"></a>
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<a href="https://github.com/Jamesding000/MemGen-GR"><img src="https://img.shields.io/badge/Code-GitHub-black"></a>
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.add_column("master", labels["master"])
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.add_column("subcategories", labels["subcategories"])
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.add_column("all_labels", labels["all_labels"]))
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```
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