Published October 7, 2020
| Version v1
Dataset
Open
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation
Creators
- 1. TU Wien
Description
Teacher train files (ids only), based on the MSMARCO-Passage collection, for the paper:
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan and Allan Hanbury (https://arxiv.org/abs/2010.02666)
for the documentation please see: https://github.com/sebastian-hofstaetter/neural-ranking-kd
Files
Files
(4.8 GB)
| Name | Size | Download all |
|---|---|---|
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md5:4d99696386f96a7f1631076bcc53ac3c
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2.4 GB | Download |
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md5:a2575af08a19b47c2041e67c9efcd917
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2.4 GB | Download |
Additional details
Related works
- Is derived from
- https://arxiv.org/abs/2010.02666 (URL)