Comments (1)
Hey, sorry for the delay.
The eval qrels have been deliberately held out for evaluation and thus aren't available publicly
Triples are built entirely by qrels and negative samples are selected by selecting something not selected by b25(top1000) at random as the negative samples.
The relevance information has this numerical difference because around 1/3 ish of the queries did not have an answer. In the original MSMARCO QnA dataset, there is a high distribution of queries that don't have an answer given the passages and thus we do not have a positive ranking signal. These queries have been removed from the ranking task but still exist for the purposes of term mining.
from msmarco-passage-ranking.
Related Issues (20)
- How the triples.train.small is generated HOT 2
- MSMARCO URL is not reachable HOT 1
- On full-documents and passage alignement HOT 3
- Extracting qidpidtriples.train.full.tar.gz returns, "This does not look like a tar archive" HOT 1
- Extracting qidpidtriples.train.full.tar.gz HOT 2
- can't download triples.train.full.tsv.gz HOT 3
- Can't download qidpidtriples.train.full.tar.gz HOT 2
- About labels in data process of baseline duet HOT 1
- Top 1000 Train in Trec Format
- Third version of Train Triples QID PID Format that mimics triples.train.full.tsv.gz HOT 2
- Provide small queries and qrels datasets
- top1000.dev contains just the same queries as that in queries.dev.small.tsv HOT 1
- Any plan to update the Msmarco Passage Ranking dataset?
- This repo is missing important files
- data 404 HOT 1
- We already have the triple format data, why need Qrels? HOT 2
- MSMARCO license ambiguity HOT 1
- Encoding issues with triples.train.small HOT 1
- ms_marco_eval reference_file structure HOT 1
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from msmarco-passage-ranking.