# mrtydi-v1.1-arabic (trained on MS MARCO) Faiss flat index for Mr.TyDi v1.1 (Arabic), using mDPR fine-tuned on MS MARCO. This index was generated on 2022/03/27 at commit [aa1c0e9](https://github.com/castorini/pyserini/commit/aa1c0e9a5bbfab406f8c73d23c91a009307096c6) on `cedar` with the following command: ```bash lang=arabic tarfn=mrtydi-v1.1-$lang.tar.gz corpus=mrtydi-v1.1-$lang/collection/docs.jsonl index_dir=mrtydi-mdpr-dindex-msmarco/$lang wget https://git.uwaterloo.ca/jimmylin/mr.tydi/-/raw/master/data/$tarfn tar –xvf $tarfn gzip -cvf $corpus.gz > $corpus shard_num=1 encoder=mdpr-mrtydi-0shot-msmarco-tied-encoder-converted for shard_id in $(seq 0 `$shard_num - 1`) ; do index_dir=mdpr-dindex/$lang-$shard_id mkdir -p $index_dir python -m pyserini.encode input --corpus $corpus \ --fields title text \ --delimiter "\n\n" \ --shard-id $shard_id \ --shard-num $shard_num \ output --embeddings $index_dir \ --to-faiss \ encoder --encoder $encoder \ --fields title text \ --batch 128 \ --fp16 done ``` Note that the delimiter are only supported after [Pyserini #1000](https://github.com/castorini/pyserini/pull/1000/commits/5021e12d1d2e1bc3d4015955bcf77076c5798ce6#diff-45356c3f5e9cd223bb23d7efea3f7ed834abbcd32f604eb7fdd138e364273241L104). The index can be later reproduced on commit [7b099d5](https://github.com/crystina-z/pyserini/commit/7b099d534901d1f0161982605cd40d039ddb701d) using ``` encoder=castorini/mdpr-tied-pft-msmarco index_dir=mdpr-dindex/$lang-$shard_id mkdir -p $index_dir python -m pyserini.encode input --corpus $corpus \ --fields title text \ --delimiter "\n\n" \ --shard-id $shard_id \ --shard-num $shard_num \ output --embeddings $index_dir \ --to-faiss \ encoder --encoder $encoder \ --fields title text \ --batch 128 \ --encoder-class 'auto' \ --fp16 ``` Here's a sample retrieval command (on the test set): ```bash set_name=test python -m pyserini.dsearch \ --encoder castorini/mdpr-tied-pft-msmarco \ --topics mrtydi-v1.1-${lang}-${set_name} \ --index ${index_dir} \ --output runs/run.mrtydi-v1.1-$lang.${set_name}.txt \ --batch-size 36 \ --threads 12 \ --encoder-class 'auto' ```