TREC 2025 Proceedings
pyterrier-bm25
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 ir-datasets integration that we have created to index the dataset into PyTerrier and did retrieval with BM25 (all values to the defaults).
- Specify datasets used in this run.
- ['Other']
- (if you checked "other", describe here)
- None
- 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)?
- Yes I am confident that no data from those sources except the official track training data was used to produce this run
- 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 a baseline.
Evaluation Files
Paper