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README.md

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 license: mit
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+
+# MS MARCO Distillation Scores for Translate-Distill
+
+This repository contains [MS MARCO](https://microsoft.github.io/msmarco/) training 
+query-passage scores produced by MonoT5 reranker 
+[`unicamp-dl/mt5-13b-mmarco-100k`](https://huggingface.co/unicamp-dl/mt5-13b-mmarco-100k) and
+[`castorini/monot5-3b-msmarco-10k`](https://huggingface.co/castorini/monot5-3b-msmarco-10k). 
+
+Each training query is associated with the top-50 passages retrieved by the [ColBERTv2](https://arxiv.org/abs/2112.01488) model. 
+
+Files are gzip compressed and with the naming scheme of `{teacher}-monot5-{msmarco, mmarco}-{qlang}{plang}.jsonl.gz`, 
+which indicates the teacher reranker that inferenced using `qlang` queries and `plang` passages from MS MARCO. 
+For languages other than English (eng), we use the translated text provided by mmarco and [neuMarco](https://ir-datasets.com/neumarco.html). 
+
+
+## Usage
+
+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. 
+
+## Citation and Bibtex Info
+
+Please cite the following paper if you use the scores. 
+
+```bibtext
+@inproceedings{translate-distill,
+    author = {Eugene Yang and Dawn Lawrie and James Mayfield and Douglas W. Oard and Scott Miller},
+    title = {Translate-Distill: Learning Cross-Language \ Dense Retrieval by Translation and Distillation},
+    booktitle = {Proceedings of the 46th European Conference on Information Retrieval (ECIR)},
+    year = {2024},
+    url = {tba}
+}
+```
+

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