MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR
a79a9d52a7 | ||
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Baselines | ||
Leaderboard Results | ||
.gitignore | ||
DL Track Overview TREC2019.pptx | ||
GenerateData.script | ||
LICENSE | ||
README.md | ||
_config.yml | ||
generateBERTPassageEmbedding.py | ||
generate_qrel.py | ||
get_all_passages.py | ||
getstats.py | ||
makeidf.py | ||
makeqidpid.py | ||
ms_marco_eval.py | ||
run.sh | ||
selected2document.py | ||
stats.txt | ||
subsample.py |
README.md
To participate in the MS MARCO Passage Ranking leaderboard, please go here: https://microsoft.github.io/msmarco/Submission.