Hugging Face's logo

Datasets:
hltcoe
/
tdist-msmarco-scores

Modalities:
Text
Formats:
csv
Size:
100K - 1M
ArXiv:
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
1
tdist-msmarco-scores / README.md
eugene-yang's picture
eugene-yang
add files
1fac4ad
preview code
|
raw
history blame
1.55 kB
metadata
license: mit

MS MARCO Distillation Scores for Translate-Distill

This repository contains MS MARCO training query-passage scores produced by MonoT5 reranker unicamp-dl/mt5-13b-mmarco-100k and castorini/monot5-3b-msmarco-10k.

Each training query is associated with the top-50 passages retrieved by the ColBERTv2 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.

Usage

We recommand downloading the files to incorporate with the training script in the PLAID-X codebase.

Citation and Bibtex Info

Please cite the following paper if you use the scores. 

@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}
}