Data provided by National Institute of Standards and Technology
The Deep Learning track focuses on IR tasks where a large training set is available, allowing us to compare a variety of retrieval approaches including deep neural networks and strong non-neural approaches, to see what works best in a large-data regime.
About this Dataset
Updated: 2026-09-19
Metadata Last Updated:
2024-05-08 00:00:00
Date Created:
N/A
Data Provided by:
Dataset Owner:
N/A
| Title | 2023 TREC Deep Learning Track Dataset |
|---|---|
| Description | The Deep Learning track focuses on IR tasks where a large training set is available, allowing us to compare a variety of retrieval approaches including deep neural networks and strong non-neural approaches, to see what works best in a large-data regime. |
| Modified | 2024-05-08 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | TREC text retrieval conference |
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"title": "2023 TREC Deep Learning Track Dataset",
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