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license: mit |
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--- |
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# MS MARCO Distillation Scores for Translate-Distill |
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This repository contains [MS MARCO](https://microsoft.github.io/msmarco/) training |
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query-passage scores produced by MonoT5 reranker |
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[`unicamp-dl/mt5-13b-mmarco-100k`](https://huggingface.co/unicamp-dl/mt5-13b-mmarco-100k) and |
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[`castorini/monot5-3b-msmarco-10k`](https://huggingface.co/castorini/monot5-3b-msmarco-10k). |
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Each training query is associated with the top-50 passages retrieved by the [ColBERTv2](https://arxiv.org/abs/2112.01488) model. |
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Files are gzip compressed and with the naming scheme of `{teacher}-monot5-{msmarco, mmarco}-{qlang}{plang}.jsonl.gz`, |
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which indicates the teacher reranker that inferenced using `qlang` queries and `plang` passages from MS MARCO. |
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For languages other than English (eng), we use the translated text provided by mmarco and [neuMarco](https://ir-datasets.com/neumarco.html). |
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We additionally provide the Persian translation of the MS MARCO training queries since they were not included in either neuMARCO or mMARCO. |
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You can find the tsv files containing the translation in `msmarco.train.query.fas.tsv.gz`. |
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## Usage |
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We recommand downloading the files to incorporate with the training script in the [PLAID-X](https://github.com/hltcoe/ColBERT-X/tree/plaid-x) codebase. |
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## Citation and Bibtex Info |
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Please cite the following paper if you use the scores. |
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```bibtext |
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@inproceedings{translate-distill, |
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author = {Eugene Yang and Dawn Lawrie and James Mayfield and Douglas W. Oard and Scott Miller}, |
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title = {Translate-Distill: Learning Cross-Language \ Dense Retrieval by Translation and Distillation}, |
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booktitle = {Proceedings of the 46th European Conference on Information Retrieval (ECIR)}, |
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year = {2024}, |
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url = {https://arxiv.org/abs/2401.04810} |
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} |
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``` |
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