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philipphager/baidu-ultr_uva-mlm-ctr

Query-document vectors and clicks for a subset of the Baidu Unbiased Learning to Rank dataset: https://arxiv.org/abs/2207.03051 This dataset uses a Jax-based BERT cross-encoder with 12 layers pre-trained for 2 million steps on the Baidu ULTR dataset to create query-document embeddings (768 dims). We link the model checkpoint also under `model/`.

sourceHugging Facecc-by-nc-4.0updated 2y agoView on Hugging Face
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1b37fc22y ago

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ac5acfd2y ago

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f1cc64e2y ago

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96838dc2y ago

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57d3da03y ago

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8be76c03y ago

Create model/

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f6e4ba03y ago

Update baidu-ultr_uva-mlm-ctr.py

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9db6f1a3y ago

Update baidu-ultr_uva-mlm-ctr.py

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db7e0aa3y ago

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4534c513y ago

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a95dc383y ago

Update 2M dataset

Philipp Hager
5da7a663y ago

Update baidu-ultr_uva-mlm-ctr.py

philipphager
85a9dc33y ago

Create baidu-ultr_uva-mlm-ctr.py

philipphager
e9faeb03y ago

Update README.md

philipphager
7cd8fa63y ago

Add data

Philipp Hager
b4f6d073y ago

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Philipp Hager
f60b2233y ago

initial commit

philipphager