TREC 2025 Proceedings

lightning-ir-dense

Submission Details

Organization
coordinators
Track
Tip-of-the-Tongue Search
Task
Retrieval Task
Date
2025-09-11

Run Description

Please describe in details how this run was generated
We used the Dense Retrieval model that was trained and used in the ToT 2023 task as baseline in lightning-ir (i.e., the model is trained for the movie domain). The document collection was processed via ir-datasets.
Specify datasets used in this run.
["This year's TREC TOT training data"]
(if you checked "other", describe here)
Are you 100% confident that no data from https://github.com/microsoft/Tip-of-the-Tongue-Known-Item-Retrieval-Dataset-for-Movie-Identification or iRememberThisMovie.com (besides the training data provided as part of this year's track) was used for producing this run (including any data used for pretraining models that you are building on top of)?
no
Did you use any of the official baseline runs in any way to produce this run?
yes
If you did use any of the official baseline runs in any way to produce this run, please describe how below in sufficient detail (e.g., as reranking candidates or in ensemble with other approaches).
This is one of the official baselines.

Evaluation Files

Paper