Pyserini provides a number of pre-built Lucene indexes. To list what's available in code:
from pyserini.search.lucene import LuceneSearcher
LuceneSearcher.list_prebuilt_indexes()
from pyserini.index.lucene import IndexReader
IndexReader.list_prebuilt_indexes()It's easy initialize a searcher from a pre-built index:
searcher = LuceneSearcher.from_prebuilt_index('robust04')You can use this simple Python one-liner to download the pre-built index:
python -c "from pyserini.search.lucene import LuceneSearcher; LuceneSearcher.from_prebuilt_index('robust04')"
The downloaded index will be in ~/.cache/pyserini/indexes/.
It's similarly easy initialize an index reader from a pre-built index:
index_reader = IndexReader.from_prebuilt_index('robust04')
index_reader.stats()The output will be:
{'total_terms': 174540872, 'documents': 528030, 'non_empty_documents': 528030, 'unique_terms': 923436}
Note that unless the underlying index was built with the -optimize option (i.e., merging all index segments into a single segment), unique_terms will show -1.
Nope, that's not a bug.
Below is a summary of the pre-built indexes that are currently available.
Detailed configuration information for the pre-built indexes are stored in pyserini/prebuilt_index_info.py.
- Lucene index of the CACM corpus. (Lucene 9)
- Lucene index of TREC Disks 4 & 5 (minus Congressional Records), used in the TREC 2004 Robust Track. (Lucene 9)
- Lucene index of the MS MARCO V1 document corpus. (Lucene 9)
- Lucene index of the MS MARCO V1 document corpus ('slim' version). (Lucene 9)
- Lucene index of the MS MARCO V1 document corpus ('full' version). (Lucene 9)
- Lucene index of the MS MARCO V1 document corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index (+docvectors) of the MS MARCO V1 document corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index of the MS MARCO V1 segmented document corpus. (Lucene 9)
- Lucene index of the MS MARCO V1 segmented document corpus ('slim' version). (Lucene 9)
- Lucene index of the MS MARCO V1 segmented document corpus ('full' version). (Lucene 9)
- Lucene index of the MS MARCO V1 segmented document corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index (+docvectors) of the MS MARCO V1 segmented document corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index of the MS MARCO V1 passage corpus. (Lucene 9)
- Lucene index of the MS MARCO V1 passage corpus ('slim' version). (Lucene 9)
- Lucene index of the MS MARCO V1 passage corpus ('full' version). (Lucene 9)
- Lucene index of the MS MARCO V1 passage corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index (+docvectors) of the MS MARCO V1 passage corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index of the MS MARCO passage corpus with four extra preprocessed fields for LTR. (Lucene 8)
- Lucene index of the MS MARCO document per-passage corpus with four extra preprocessed fields for LTR. (Lucene 8)
- Lucene index of the MS MARCO document segmented corpus with four extra preprocessed fields for LTR. (Lucene 8)
- Lucene index of the MS MARCO V2 document corpus. (Lucene 9)
- Lucene index of the MS MARCO V2 document corpus ('slim' version). (Lucene 9)
- Lucene index of the MS MARCO V2 document corpus ('full' version). (Lucene 9)
- Lucene index of the MS MARCO V2 document corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index (+docvectors) of the MS MARCO V2 document corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index of the MS MARCO V2 segmented document corpus. (Lucene 9)
- Lucene index of the MS MARCO V2 segmented document corpus ('slim' version). (Lucene 9)
- Lucene index of the MS MARCO V2 segmented document corpus ('full' version). (Lucene 9)
- Lucene index of the MS MARCO V2 segmented document corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index (+docvectors) of the MS MARCO V2 segmented document corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index of the MS MARCO V2 passage corpus. (Lucene 9)
- Lucene index of the MS MARCO V2 passage corpus ('slim' version). (Lucene 9)
- Lucene index of the MS MARCO V2 passage corpus ('full' version). (Lucene 9)
- Lucene index of the MS MARCO V2 passage corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index (+docvectors) of the MS MARCO V2 passage corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index of the MS MARCO V2 augmented passage corpus. (Lucene 9)
- Lucene index of the MS MARCO V2 augmented passage corpus ('slim' version). (Lucene 9)
- Lucene index of the MS MARCO V2 augmented passage corpus ('full' version). (Lucene 9)
- Lucene index of the MS MARCO V2 augmented passage corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index (+docvectors) of the MS MARCO V2 augmented passage corpus with doc2query-T5 expansions. (Lucene 9)
- Lucene index of English Wikipedia for BERTserini
- Lucene index of Chinese Wikipedia for BERTserini
- Lucene index for TREC-COVID Round 5: abstract index
- Lucene index for TREC-COVID Round 5: full-text index
- Lucene index for TREC-COVID Round 5: paragraph index
- Lucene index for TREC-COVID Round 4: abstract index
- Lucene index for TREC-COVID Round 4: full-text index
- Lucene index for TREC-COVID Round 4: paragraph index
- Lucene index for TREC-COVID Round 3: abstract index
- Lucene index for TREC-COVID Round 3: full-text index
- Lucene index for TREC-COVID Round 3: paragraph index
- Lucene index for TREC-COVID Round 2: abstract index
- Lucene index for TREC-COVID Round 2: full-text index
- Lucene index for TREC-COVID Round 2: paragraph index
- Lucene index for TREC-COVID Round 1: abstract index
- Lucene index for TREC-COVID Round 1: full-text index
- Lucene index for TREC-COVID Round 1: paragraph index
- Lucene index for TREC 2019 CaST
- Lucene index of Wikipedia with DPR 100-word splits
- Lucene index of Wikipedia with DPR 100-word splits (slim version, document text not stored)
- Lucene index of Wikipedia snapshot used as KILT's knowledge source.
- Lucene index of wiki-all-6-3-tamber from castorini/odqa-wiki-corpora
- Lucene index for Mr.TyDi v1.1 (Arabic).
- Lucene index for Mr.TyDi v1.1 (Bengali).
- Lucene index for Mr.TyDi v1.1 (English).
- Lucene index for Mr.TyDi v1.1 (Finnish).
- Lucene index for Mr.TyDi v1.1 (Indonesian).
- Lucene index for Mr.TyDi v1.1 (Japanese).
- Lucene index for Mr.TyDi v1.1 (Korean).
- Lucene index for Mr.TyDi v1.1 (Russian).
- Lucene index for Mr.TyDi v1.1 (Swahili).
- Lucene index for Mr.TyDi v1.1 (Telugu).
- Lucene index for Mr.TyDi v1.1 (Thai).
- Lucene flat index of BEIR (v1.0.0): TREC-COVID
- Lucene flat index of BEIR (v1.0.0): BioASQ
- Lucene flat index of BEIR (v1.0.0): NFCorpus
- Lucene flat index of BEIR (v1.0.0): NQ
- Lucene flat index of BEIR (v1.0.0): HotpotQA
- Lucene flat index of BEIR (v1.0.0): FiQA-2018
- Lucene flat index of BEIR (v1.0.0): Signal-1M
- Lucene flat index of BEIR (v1.0.0): TREC-NEWS
- Lucene flat index of BEIR (v1.0.0): Robust04
- Lucene flat index of BEIR (v1.0.0): ArguAna
- Lucene flat index of BEIR (v1.0.0): Webis-Touche2020
- Lucene flat index of BEIR (v1.0.0): CQADupStack-android
- Lucene flat index of BEIR (v1.0.0): CQADupStack-english
- Lucene flat index of BEIR (v1.0.0): CQADupStack-gaming
- Lucene flat index of BEIR (v1.0.0): CQADupStack-gis
- Lucene flat index of BEIR (v1.0.0): CQADupStack-mathematica
- Lucene flat index of BEIR (v1.0.0): CQADupStack-physics
- Lucene flat index of BEIR (v1.0.0): CQADupStack-programmers
- Lucene flat index of BEIR (v1.0.0): CQADupStack-stats
- Lucene flat index of BEIR (v1.0.0): CQADupStack-tex
- Lucene flat index of BEIR (v1.0.0): CQADupStack-unix
- Lucene flat index of BEIR (v1.0.0): CQADupStack-webmasters
- Lucene flat index of BEIR (v1.0.0): CQADupStack-wordpress
- Lucene flat index of BEIR (v1.0.0): Quora
- Lucene flat index of BEIR (v1.0.0): DBPedia
- Lucene flat index of BEIR (v1.0.0): SCIDOCS
- Lucene flat index of BEIR (v1.0.0): FEVER
- Lucene flat index of BEIR (v1.0.0): Climate-FEVER
- Lucene flat index of BEIR (v1.0.0): SciFact
- Lucene multifield index of BEIR (v1.0.0): TREC-COVID
- Lucene multifield index of BEIR (v1.0.0): BioASQ
- Lucene multifield index of BEIR (v1.0.0): NFCorpus
- Lucene multifield index of BEIR (v1.0.0): NQ
- Lucene multifield index of BEIR (v1.0.0): HotpotQA
- Lucene multifield index of BEIR (v1.0.0): FiQA-2018
- Lucene multifield index of BEIR (v1.0.0): Signal-1M
- Lucene multifield index of BEIR (v1.0.0): TREC-NEWS
- Lucene multifield index of BEIR (v1.0.0): Robust04
- Lucene multifield index of BEIR (v1.0.0): ArguAna
- Lucene multifield index of BEIR (v1.0.0): Webis-Touche2020
- Lucene multifield index of BEIR (v1.0.0): CQADupStack-android
- Lucene multifield index of BEIR (v1.0.0): CQADupStack-english
- Lucene multifield index of BEIR (v1.0.0): CQADupStack-gaming
- Lucene multifield index of BEIR (v1.0.0): CQADupStack-gis
- Lucene multifield index of BEIR (v1.0.0): CQADupStack-mathematica
- Lucene multifield index of BEIR (v1.0.0): CQADupStack-physics
- Lucene multifield index of BEIR (v1.0.0): CQADupStack-programmers
- Lucene multifield index of BEIR (v1.0.0): CQADupStack-stats
- Lucene multifield index of BEIR (v1.0.0): CQADupStack-tex
- Lucene multifield index of BEIR (v1.0.0): CQADupStack-unix
- Lucene multifield index of BEIR (v1.0.0): CQADupStack-webmasters
- Lucene multifield index of BEIR (v1.0.0): CQADupStack-wordpress
- Lucene multifield index of BEIR (v1.0.0): Quora
- Lucene multifield index of BEIR (v1.0.0): DBPedia
- Lucene multifield index of BEIR (v1.0.0): SCIDOCS
- Lucene multifield index of BEIR (v1.0.0): FEVER
- Lucene multifield index of BEIR (v1.0.0): Climate-FEVER
- Lucene multifield index of BEIR (v1.0.0): SciFact
- Lucene index for HC4 v1.0 (Persian). (Lucene 9)
- Lucene index for HC4 v1.0 (Russian). (Lucene 9)
- Lucene index for HC4 v1.0 (Chinese). (Lucene 9)
- Lucene index for NeuCLIR 2022 corpus (Persian). (Lucene 9)
- Lucene index for NeuCLIR 2022 corpus (Russian). (Lucene 9)
- Lucene index for NeuCLIR 2022 corpus (Chinese). (Lucene 9)
- Lucene index for NeuCLIR 2022 corpus (official English translation from Persian). (Lucene 9)
- Lucene index for NeuCLIR 2022 corpus (official English translation from Russian). (Lucene 9)
- Lucene index for NeuCLIR 2022 corpus (official English translation from Chinese). (Lucene 9)
- Lucene index for MIRACL v1.0 (Arabic).
- Lucene index for MIRACL v1.0 (Bengali).
- Lucene index for MIRACL v1.0 (English).
- Lucene index for MIRACL v1.0 (Spanish).
- Lucene index for MIRACL v1.0 (Persian).
- Lucene index for MIRACL v1.0 (Finnish).
- Lucene index for MIRACL v1.0 (French).
- Lucene index for MIRACL v1.0 (Hindi).
- Lucene index for MIRACL v1.0 (Indonesian).
- Lucene index for MIRACL v1.0 (Japanese).
- Lucene index for MIRACL v1.0 (Korean).
- Lucene index for MIRACL v1.0 (Russian).
- Lucene index for MIRACL v1.0 (Swahili).
- Lucene index for MIRACL v1.0 (Telugu).
- Lucene index for MIRACL v1.0 (Thai).
- Lucene index for MIRACL v1.0 (Chinese).
- Lucene index for MIRACL v1.0 (German).
- Lucene index for MIRACL v1.0 (Yoruba).
cacm
robust04
[readme]
msmarco-v1-doc
[readme]
msmarco-v1-doc-slim
[readme]
msmarco-v1-doc-full
[readme]
msmarco-v1-doc-d2q-t5
[readme]
msmarco-v1-doc-d2q-t5-docvectors
[readme]
msmarco-v1-doc-segmented
[readme]
msmarco-v1-doc-segmented-slim
[readme]
msmarco-v1-doc-segmented-full
[readme]
msmarco-v1-doc-segmented-d2q-t5
[readme]
msmarco-v1-doc-segmented-d2q-t5-docvectors
[readme]
msmarco-v1-passage
[readme]
msmarco-v1-passage-slim
[readme]
msmarco-v1-passage-full
[readme]
msmarco-v1-passage-d2q-t5
[readme]
msmarco-v1-passage-d2q-t5-docvectors
[readme]
msmarco-passage-ltr
[readme]
msmarco-doc-per-passage-ltr
msmarco-document-segment-ltr
msmarco-v2-doc
[readme]
msmarco-v2-doc-slim
[readme]
msmarco-v2-doc-full
[readme]
msmarco-v2-doc-d2q-t5
[readme]
msmarco-v2-doc-d2q-t5-docvectors
[readme]
msmarco-v2-doc-segmented
[readme]
msmarco-v2-doc-segmented-slim
[readme]
msmarco-v2-doc-segmented-full
[readme]
msmarco-v2-doc-segmented-d2q-t5
[readme]
msmarco-v2-doc-segmented-d2q-t5-docvectors
[readme]
msmarco-v2-passage
[readme]
msmarco-v2-passage-slim
[readme]
msmarco-v2-passage-full
[readme]
msmarco-v2-passage-d2q-t5
[readme]
msmarco-v2-passage-d2q-t5-docvectors
[readme]
msmarco-v2-passage-augmented
[readme]
msmarco-v2-passage-augmented-slim
[readme]
msmarco-v2-passage-augmented-full
[readme]
msmarco-v2-passage-augmented-d2q-t5
[readme]
msmarco-v2-passage-augmented-d2q-t5-docvectors
[readme]
enwiki-paragraphs
zhwiki-paragraphs
trec-covid-r5-abstract
trec-covid-r5-full-text
trec-covid-r5-paragraph
trec-covid-r4-abstract
trec-covid-r4-full-text
trec-covid-r4-paragraph
trec-covid-r3-abstract
trec-covid-r3-full-text
trec-covid-r3-paragraph
trec-covid-r2-abstract
trec-covid-r2-full-text
trec-covid-r2-paragraph
trec-covid-r1-abstract
trec-covid-r1-full-text
trec-covid-r1-paragraph
cast2019
wikipedia-dpr
[readme]
wikipedia-dpr-slim
[readme]
wikipedia-kilt-doc
[readme]
wiki-all-6-3-tamber
[readme]
mrtydi-v1.1-arabic
[readme]
mrtydi-v1.1-bengali
[readme]
mrtydi-v1.1-english
[readme]
mrtydi-v1.1-finnish
[readme]
mrtydi-v1.1-indonesian
[readme]
mrtydi-v1.1-japanese
[readme]
mrtydi-v1.1-korean
[readme]
mrtydi-v1.1-russian
[readme]
mrtydi-v1.1-swahili
[readme]
mrtydi-v1.1-telugu
[readme]
mrtydi-v1.1-thai
[readme]
beir-v1.0.0-trec-covid.flat
[readme]
beir-v1.0.0-bioasq.flat
[readme]
beir-v1.0.0-nfcorpus.flat
[readme]
beir-v1.0.0-nq.flat
[readme]
beir-v1.0.0-hotpotqa.flat
[readme]
beir-v1.0.0-fiqa.flat
[readme]
beir-v1.0.0-signal1m.flat
[readme]
beir-v1.0.0-trec-news.flat
[readme]
beir-v1.0.0-robust04.flat
[readme]
beir-v1.0.0-arguana.flat
[readme]
beir-v1.0.0-webis-touche2020.flat
[readme]
beir-v1.0.0-cqadupstack-android.flat
[readme]
beir-v1.0.0-cqadupstack-english.flat
[readme]
beir-v1.0.0-cqadupstack-gaming.flat
[readme]
beir-v1.0.0-cqadupstack-gis.flat
[readme]
beir-v1.0.0-cqadupstack-mathematica.flat
[readme]
beir-v1.0.0-cqadupstack-physics.flat
[readme]
beir-v1.0.0-cqadupstack-programmers.flat
[readme]
beir-v1.0.0-cqadupstack-stats.flat
[readme]
beir-v1.0.0-cqadupstack-tex.flat
[readme]
beir-v1.0.0-cqadupstack-unix.flat
[readme]
beir-v1.0.0-cqadupstack-webmasters.flat
[readme]
beir-v1.0.0-cqadupstack-wordpress.flat
[readme]
beir-v1.0.0-quora.flat
[readme]
beir-v1.0.0-dbpedia-entity.flat
[readme]
beir-v1.0.0-scidocs.flat
[readme]
beir-v1.0.0-fever.flat
[readme]
beir-v1.0.0-climate-fever.flat
[readme]
beir-v1.0.0-scifact.flat
[readme]
beir-v1.0.0-trec-covid.multifield
[readme]
beir-v1.0.0-bioasq.multifield
[readme]
beir-v1.0.0-nfcorpus.multifield
[readme]
beir-v1.0.0-nq.multifield
[readme]
beir-v1.0.0-hotpotqa.multifield
[readme]
beir-v1.0.0-fiqa.multifield
[readme]
beir-v1.0.0-signal1m.multifield
[readme]
beir-v1.0.0-trec-news.multifield
[readme]
beir-v1.0.0-robust04.multifield
[readme]
beir-v1.0.0-arguana.multifield
[readme]
beir-v1.0.0-webis-touche2020.multifield
[readme]
beir-v1.0.0-cqadupstack-android.multifield
[readme]
beir-v1.0.0-cqadupstack-english.multifield
[readme]
beir-v1.0.0-cqadupstack-gaming.multifield
[readme]
beir-v1.0.0-cqadupstack-gis.multifield
[readme]
beir-v1.0.0-cqadupstack-mathematica.multifield
[readme]
beir-v1.0.0-cqadupstack-physics.multifield
[readme]
beir-v1.0.0-cqadupstack-programmers.multifield
[readme]
beir-v1.0.0-cqadupstack-stats.multifield
[readme]
beir-v1.0.0-cqadupstack-tex.multifield
[readme]
beir-v1.0.0-cqadupstack-unix.multifield
[readme]
beir-v1.0.0-cqadupstack-webmasters.multifield
[readme]
beir-v1.0.0-cqadupstack-wordpress.multifield
[readme]
beir-v1.0.0-quora.multifield
[readme]
beir-v1.0.0-dbpedia-entity.multifield
[readme]
beir-v1.0.0-scidocs.multifield
[readme]
beir-v1.0.0-fever.multifield
[readme]
beir-v1.0.0-climate-fever.multifield
[readme]
beir-v1.0.0-scifact.multifield
[readme]
hc4-v1.0-fa
[readme]
hc4-v1.0-ru
[readme]
hc4-v1.0-zh
[readme]
neuclir22-fa
[readme]
neuclir22-ru
[readme]
neuclir22-zh
[readme]
neuclir22-fa-en
[readme]
neuclir22-ru-en
[readme]
neuclir22-zh-en
[readme]
miracl-v1.0-ar
[readme]
miracl-v1.0-bn
[readme]
miracl-v1.0-en
[readme]
miracl-v1.0-es
[readme]
miracl-v1.0-fa
[readme]
miracl-v1.0-fi
[readme]
miracl-v1.0-fr
[readme]
miracl-v1.0-hi
[readme]
miracl-v1.0-id
[readme]
miracl-v1.0-ja
[readme]
miracl-v1.0-ko
[readme]
miracl-v1.0-ru
[readme]
miracl-v1.0-sw
[readme]
miracl-v1.0-te
[readme]
miracl-v1.0-th
[readme]
miracl-v1.0-zh
[readme]
miracl-v1.0-de
[readme]
miracl-v1.0-yo
[readme]
- Lucene impact index of the MS MARCO V1 passage corpus enoded by SLIM trained with BM25 negatives. (Lucene 9)
- Lucene impact index of the MS MARCO V1 passage corpus enoded by SLIM trained with cross-encoder distillation and hardnegative mining. (Lucene 9)
- Lucene impact index of the MS MARCO V1 passage corpus for uniCOIL. (Lucene 9)
- Lucene impact index of the MS MARCO V1 passage corpus for uniCOIL (noexp). (Lucene 9)
- Lucene impact index of the MS MARCO passage corpus encoded by DeepImpact. (Lucene 9)
- Lucene impact index of the MS MARCO passage corpus encoded by uniCOIL-TILDE. (Lucene 9)
- Lucene impact index of the MS MARCO passage corpus encoded by distill-splade-max. (Lucene 9)
- Lucene impact index of the MS MARCO V1 segmented document corpus for uniCOIL, with title/segment encoding. (Lucene 9)
- Lucene impact index of the MS MARCO V1 segmented document corpus for uniCOIL (noexp), with title/segment encoding. (Lucene 9)
- Lucene impact index of the MS MARCO V2 passage corpus for uniCOIL. (Lucene 9)
- Lucene impact index of the MS MARCO V2 passage corpus for uniCOIL (noexp). (Lucene 9)
- Lucene impact index of the MS MARCO V2 segmented document corpus for uniCOIL, with title prepended. (Lucene 9)
- Lucene impact index of the MS MARCO V2 segmented document corpus for uniCOIL (noexp) with title prepended. (Lucene 9)
- Lucene impact index of BEIR (v1.0.0): TREC-COVID encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): BioASQ encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): NFCorpus encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): NQ encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): HotpotQA encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): FiQA-2018 encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): Signal-1M encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): TREC-NEWS encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): Robust04 encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): ArguAna encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): Webis-Touche2020 encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): CQADupStack-android encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): CQADupStack-english encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): CQADupStack-gaming encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): CQADupStack-gis encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): CQADupStack-mathematica encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): CQADupStack-physics encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): CQADupStack-programmers encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): CQADupStack-stats encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): CQADupStack-tex encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): CQADupStack-unix encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): CQADupStack-webmasters encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): CQADupStack-wordpress encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): Quora encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): DBPedia encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): SCIDOCS encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): FEVER encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): Climate-FEVER encoded by SPLADE-distill CoCodenser-medium
- Lucene impact index of BEIR (v1.0.0): SciFact encoded by SPLADE-distill CoCodenser-medium
msmarco-v1-passage-slimr
[readme]
msmarco-v1-passage-slimr-pp
[readme]
msmarco-v1-passage-unicoil
[readme]
msmarco-v1-passage-unicoil-noexp
[readme]
msmarco-v1-passage-deepimpact
[readme]
msmarco-v1-passage-unicoil-tilde
[readme]
msmarco-v1-passage-distill-splade-max
[readme]
msmarco-v1-doc-segmented-unicoil
[readme]
msmarco-v1-doc-segmented-unicoil-noexp
[readme]
msmarco-v2-passage-unicoil-0shot
[readme]
msmarco-v2-passage-unicoil-noexp-0shot
[readme]
msmarco-v2-doc-segmented-unicoil-0shot
[readme]
msmarco-v2-doc-segmented-unicoil-noexp-0shot
[readme]
beir-v1.0.0-trec-covid-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-bioasq-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-nfcorpus-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-nq-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-hotpotqa-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-fiqa-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-signal1m-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-trec-news-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-robust04-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-arguana-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-webis-touche2020-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-cqadupstack-android-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-cqadupstack-english-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-cqadupstack-gaming-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-cqadupstack-gis-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-cqadupstack-mathematica-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-cqadupstack-physics-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-cqadupstack-programmers-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-cqadupstack-stats-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-cqadupstack-tex-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-cqadupstack-unix-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-cqadupstack-webmasters-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-cqadupstack-wordpress-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-quora-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-dbpedia-entity-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-scidocs-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-fever-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-climate-fever-splade_distil_cocodenser_medium
[readme]
beir-v1.0.0-scifact-splade_distil_cocodenser_medium
[readme]
- Faiss index for BEIR v1.0.0 (TREC-COVID) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (BioASQ) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (NFCorpus) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (NQ) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (HotpotQA) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (FiQA-2018) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (Signal-1M) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (TREC-NEWS) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (Robust04) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (ArguAna) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (Webis-Touche2020) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (CQADupStack-android) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (CQADupStack-english) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (CQADupStack-gaming) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (CQADupStack-gis) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (CQADupStack-mathematica) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (CQADupStack-physics) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (CQADupStack-programmers) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (CQADupStack-stats) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (CQADupStack-tex) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (CQADupStack-unix) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (CQADupStack-webmasters) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (CQADupStack-wordpress) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (Quora) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (DBPedia) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (SCIDOCS) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (FEVER) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (Climate-FEVER) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (SciFact) corpus encoded by Contriever encoder.
- Faiss index for BEIR v1.0.0 (TREC-COVID) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (BioASQ) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (NFCorpus) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (NQ) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (HotpotQA) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (FiQA-2018) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (Signal-1M) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (TREC-NEWS) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (Robust04) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (ArguAna) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (Webis-Touche2020) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (CQADupStack-android) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (CQADupStack-english) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (CQADupStack-gaming) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (CQADupStack-gis) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (CQADupStack-mathematica) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (CQADupStack-physics) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (CQADupStack-programmers) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (CQADupStack-stats) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (CQADupStack-tex) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (CQADupStack-unix) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (CQADupStack-webmasters) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (CQADupStack-wordpress) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (Quora) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (DBPedia) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (SCIDOCS) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (FEVER) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (Climate-FEVER) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss index for BEIR v1.0.0 (SciFact) corpus encoded by Contriever encoder that has been fine-tuned with MS MARCO passage.
- Faiss HNSW index of the MS MARCO passage corpus encoded by TCT-ColBERT
- Faiss FlatIP index of the MS MARCO passage corpus encoded by TCT-ColBERT
- Faiss FlatIP index of the MS MARCO document corpus encoded by TCT-ColBERT
- Faiss FlatIP index of the MS MARCO document corpus encoded by TCT-ColBERT-V2-HNP
- Faiss FlatIP index of Wikipedia encoded by the DPR doc encoder trained on multiple QA datasets
- Faiss FlatIP index of Wikipedia encoded by the DPR doc encoder trained on NQ
- Faiss binary index of Wikipedia encoded by the BPR doc encoder trained on NQ
- Faiss FlatIP index of the MS MARCO passage corpus encoded by the ANCE MS MARCO passage encoder
- Faiss FlatIP index of the MS MARCO document corpus encoded by the ANCE MaxP encoder
- Faiss FlatIP index of Wikipedia encoded by the ANCE-multi encoder
- Faiss FlatIP index of the MS MARCO passage corpus encoded by the SBERT MS MARCO passage encoder
- Faiss FlatIP index of the MS MARCO passage corpus encoded by the distilbert-dot-margin_mse-T2-msmarco passage encoder
- Faiss FlatIP index of the MS MARCO passage corpus encoded by msmarco-passage-distilbert-dot-tas_b-b256 passage encoder
- Faiss FlatIP index of the MS MARCO passage corpus encoded by the tct_colbert-v2 passage encoder
- Faiss FlatIP index of the MS MARCO passage corpus encoded by the tct_colbert-v2-hn passage encoder
- Faiss FlatIP index of the MS MARCO passage corpus encoded by the tct_colbert-v2-hnp passage encoder
- Faiss HNSW index of the CAsT2019 passage corpus encoded by the tct_colbert-v2 passage encoder
- Faiss index for Mr.TyDi v1.1 (Arabic) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Bengali) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (English) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Finnish) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Indonesian) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Japanese) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Korean) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Russian) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Swahili) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Telugu) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Thai) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss FlatIP index of Wikipedia DPR encoded by the retriever model from 'Distilling Knowledge from Reader to Retriever for Question Answering' trained on NQ
- Faiss FlatIP index of Wikipedia DPR encoded by the retriever model from 'Distilling Knowledge from Reader to Retriever for Question Answering' trained on TriviaQA
- Faiss index for Mr.TyDi v1.1 (Arabic) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for Mr.TyDi v1.1 (Bengali) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for Mr.TyDi v1.1 (English) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for Mr.TyDi v1.1 (Finnish) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for Mr.TyDi v1.1 (Indonesian) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for Mr.TyDi v1.1 (Japanese) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for Mr.TyDi v1.1 (Korean) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for Mr.TyDi v1.1 (Russian) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for Mr.TyDi v1.1 (Swahili) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for Mr.TyDi v1.1 (Telugu) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for Mr.TyDi v1.1 (Thai) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for Mr.TyDi v1.1 (Arabic) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Bengali) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (English) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Finnish) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Indonesian) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Japanese) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Korean) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Russian) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Swahili) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Telugu) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Thai) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Arabic) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Bengali) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (English) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Finnish) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Indonesian) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Japanese) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Korean) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Russian) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Swahili) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Telugu) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for Mr.TyDi v1.1 (Thai) corpus encoded by mDPR passage encoder pre-fine-tuned on NQ.
- Faiss index for MIRACL v1.0 (Arabic) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Bengali) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (English) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Spanish) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Persian) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Finnish) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (French) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Hindi) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Indonesian) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Japanese) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Korean) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Russian) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Swahili) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Telugu) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Thai) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Chinese) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (German) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Yoruba) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Arabic) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Bengali) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (English) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Spanish) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Persian) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Finnish) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (French) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Hindi) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Indonesian) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Japanese) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Korean) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Russian) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Swahili) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Telugu) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Thai) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Chinese) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Chinese) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss index for MIRACL v1.0 (Chinese) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO.
- Faiss FlatIP index of wiki-all-6-3-tamber encoded by a 2nd iteration DPR model trained on multiple QA datasets
- Faiss index for MIRACL v1.0 (Arabic) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Bengali) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (English) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Spanish) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Persian) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Finnish) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (French) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Hindi) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Indonesian) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Japanese) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Korean) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Russian) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Swahili) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Telugu) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Thai) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
- Faiss index for MIRACL v1.0 (Chinese) corpus encoded by mDPR passage encoder pre-fine-tuned on MS MARCO, then fine-tuned in-language with MIRACL.
beir-v1.0.0-trec-covid.contriever
[readme]
beir-v1.0.0-bioasq.contriever
[readme]
beir-v1.0.0-nfcorpus.contriever
[readme]
beir-v1.0.0-nq.contriever
[readme]
beir-v1.0.0-hotpotqa.contriever
[readme]
beir-v1.0.0-fiqa.contriever
[readme]
beir-v1.0.0-signal1m.contriever
[readme]
beir-v1.0.0-trec-news.contriever
[readme]
beir-v1.0.0-robust04.contriever
[readme]
beir-v1.0.0-arguana.contriever
[readme]
beir-v1.0.0-webis-touche2020.contriever
[readme]
beir-v1.0.0-cqadupstack-android.contriever
[readme]
beir-v1.0.0-cqadupstack-english.contriever
[readme]
beir-v1.0.0-cqadupstack-gaming.contriever
[readme]
beir-v1.0.0-cqadupstack-gis.contriever
[readme]
beir-v1.0.0-cqadupstack-mathematica.contriever
[readme]
beir-v1.0.0-cqadupstack-physics.contriever
[readme]
beir-v1.0.0-cqadupstack-programmers.contriever
[readme]
beir-v1.0.0-cqadupstack-stats.contriever
[readme]
beir-v1.0.0-cqadupstack-tex.contriever
[readme]
beir-v1.0.0-cqadupstack-unix.contriever
[readme]
beir-v1.0.0-cqadupstack-webmasters.contriever
[readme]
beir-v1.0.0-cqadupstack-wordpress.contriever
[readme]
beir-v1.0.0-quora.contriever
[readme]
beir-v1.0.0-dbpedia-entity.contriever
[readme]
beir-v1.0.0-scidocs.contriever
[readme]
beir-v1.0.0-fever.contriever
[readme]
beir-v1.0.0-climate-fever.contriever
[readme]
beir-v1.0.0-scifact.contriever
[readme]
beir-v1.0.0-trec-covid.contriever-msmarco
[readme]
beir-v1.0.0-bioasq.contriever-msmarco
[readme]
beir-v1.0.0-nfcorpus.contriever-msmarco
[readme]
beir-v1.0.0-nq.contriever-msmarco
[readme]
beir-v1.0.0-hotpotqa.contriever-msmarco
[readme]
beir-v1.0.0-fiqa.contriever-msmarco
[readme]
beir-v1.0.0-signal1m.contriever-msmarco
[readme]
beir-v1.0.0-trec-news.contriever-msmarco
[readme]
beir-v1.0.0-robust04.contriever-msmarco
[readme]
beir-v1.0.0-arguana.contriever-msmarco
[readme]
beir-v1.0.0-webis-touche2020.contriever-msmarco
[readme]
beir-v1.0.0-cqadupstack-android.contriever-msmarco
[readme]
beir-v1.0.0-cqadupstack-english.contriever-msmarco
[readme]
beir-v1.0.0-cqadupstack-gaming.contriever-msmarco
[readme]
beir-v1.0.0-cqadupstack-gis.contriever-msmarco
[readme]
beir-v1.0.0-cqadupstack-mathematica.contriever-msmarco
[readme]
beir-v1.0.0-cqadupstack-physics.contriever-msmarco
[readme]
beir-v1.0.0-cqadupstack-programmers.contriever-msmarco
[readme]
beir-v1.0.0-cqadupstack-stats.contriever-msmarco
[readme]
beir-v1.0.0-cqadupstack-tex.contriever-msmarco
[readme]
beir-v1.0.0-cqadupstack-unix.contriever-msmarco
[readme]
beir-v1.0.0-cqadupstack-webmasters.contriever-msmarco
[readme]
beir-v1.0.0-cqadupstack-wordpress.contriever-msmarco
[readme]
beir-v1.0.0-quora.contriever-msmarco
[readme]
beir-v1.0.0-dbpedia-entity.contriever-msmarco
[readme]
beir-v1.0.0-scidocs.contriever-msmarco
[readme]
beir-v1.0.0-fever.contriever-msmarco
[readme]
beir-v1.0.0-climate-fever.contriever-msmarco
[readme]
beir-v1.0.0-scifact.contriever-msmarco
[readme]
msmarco-passage-tct_colbert-hnsw
msmarco-passage-tct_colbert-bf
msmarco-doc-tct_colbert-bf
msmarco-doc-tct_colbert-v2-hnp-bf
wikipedia-dpr-multi-bf
wikipedia-dpr-single-nq-bf
wikipedia-bpr-single-nq-hash
msmarco-passage-ance-bf
msmarco-doc-ance-maxp-bf
wikipedia-ance-multi-bf
msmarco-passage-sbert-bf
msmarco-passage-distilbert-dot-margin_mse-T2-bf
msmarco-passage-distilbert-dot-tas_b-b256-bf
msmarco-passage-tct_colbert-v2-bf
msmarco-passage-tct_colbert-v2-hn-bf
msmarco-passage-tct_colbert-v2-hnp-bf
cast2019-tct_colbert-v2-hnsw
[readme]
mrtydi-v1.1-arabic-mdpr-nq
[readme]
mrtydi-v1.1-bengali-mdpr-nq
[readme]
mrtydi-v1.1-english-mdpr-nq
[readme]
mrtydi-v1.1-finnish-mdpr-nq
[readme]
mrtydi-v1.1-indonesian-mdpr-nq
[readme]
mrtydi-v1.1-japanese-mdpr-nq
[readme]
mrtydi-v1.1-korean-mdpr-nq
[readme]
mrtydi-v1.1-russian-mdpr-nq
[readme]
mrtydi-v1.1-swahili-mdpr-nq
[readme]
mrtydi-v1.1-telugu-mdpr-nq
[readme]
mrtydi-v1.1-thai-mdpr-nq
[readme]
wikipedia-dpr-dkrr-nq
wikipedia-dpr-dkrr-tqa
mrtydi-v1.1-arabic-mdpr-tied-pft-msmarco
[readme]
mrtydi-v1.1-bengali-mdpr-tied-pft-msmarco
[readme]
mrtydi-v1.1-english-mdpr-tied-pft-msmarco
[readme]
mrtydi-v1.1-finnish-mdpr-tied-pft-msmarco
[readme]
mrtydi-v1.1-indonesian-mdpr-tied-pft-msmarco
[readme]
mrtydi-v1.1-japanese-mdpr-tied-pft-msmarco
[readme]
mrtydi-v1.1-korean-mdpr-tied-pft-msmarco
[readme]
mrtydi-v1.1-russian-mdpr-tied-pft-msmarco
[readme]
mrtydi-v1.1-swahili-mdpr-tied-pft-msmarco
[readme]
mrtydi-v1.1-telugu-mdpr-tied-pft-msmarco
[readme]
mrtydi-v1.1-thai-mdpr-tied-pft-msmarco
[readme]
mrtydi-v1.1-arabic-mdpr-tied-pft-nq
[readme]
mrtydi-v1.1-bengali-mdpr-tied-pft-nq
[readme]
mrtydi-v1.1-english-mdpr-tied-pft-nq
[readme]
mrtydi-v1.1-finnish-mdpr-tied-pft-nq
[readme]
mrtydi-v1.1-indonesian-mdpr-tied-pft-nq
[readme]
mrtydi-v1.1-japanese-mdpr-tied-pft-nq
[readme]
mrtydi-v1.1-korean-mdpr-tied-pft-nq
[readme]
mrtydi-v1.1-russian-mdpr-tied-pft-nq
[readme]
mrtydi-v1.1-swahili-mdpr-tied-pft-nq
[readme]
mrtydi-v1.1-telugu-mdpr-tied-pft-nq
[readme]
mrtydi-v1.1-thai-mdpr-tied-pft-nq
[readme]
mrtydi-v1.1-arabic-mdpr-tied-pft-msmarco-ft-all
[readme]
mrtydi-v1.1-bengali-mdpr-tied-pft-msmarco-ft-all
[readme]
mrtydi-v1.1-english-mdpr-tied-pft-msmarco-ft-all
[readme]
mrtydi-v1.1-finnish-mdpr-tied-pft-msmarco-ft-all
[readme]
mrtydi-v1.1-indonesian-mdpr-tied-pft-msmarco-ft-all
[readme]
mrtydi-v1.1-japanese-mdpr-tied-pft-msmarco-ft-all
[readme]
mrtydi-v1.1-korean-mdpr-tied-pft-msmarco-ft-all
[readme]
mrtydi-v1.1-russian-mdpr-tied-pft-msmarco-ft-all
[readme]
mrtydi-v1.1-swahili-mdpr-tied-pft-msmarco-ft-all
[readme]
mrtydi-v1.1-telugu-mdpr-tied-pft-msmarco-ft-all
[readme]
mrtydi-v1.1-thai-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-ar-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-bn-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-en-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-es-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-fa-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-fi-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-fr-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-hi-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-id-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-ja-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-ko-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-ru-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-sw-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-te-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-th-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-zh-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-de-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-yo-mdpr-tied-pft-msmarco
[readme]
miracl-v1.0-ar-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-bn-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-en-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-es-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-fa-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-fi-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-fr-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-hi-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-id-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-ja-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-ko-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-ru-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-sw-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-te-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-th-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-zh-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-de-mdpr-tied-pft-msmarco-ft-all
[readme]
miracl-v1.0-yo-mdpr-tied-pft-msmarco-ft-all
[readme]
wiki-all-6-3-dpr2-multi
[readme]
miracl-v1.0-ar-mdpr-tied-pft-msmarco-ft-miracl-ar
[readme]
miracl-v1.0-bn-mdpr-tied-pft-msmarco-ft-miracl-bn
[readme]
miracl-v1.0-en-mdpr-tied-pft-msmarco-ft-miracl-en
[readme]
miracl-v1.0-es-mdpr-tied-pft-msmarco-ft-miracl-es
[readme]
miracl-v1.0-fa-mdpr-tied-pft-msmarco-ft-miracl-fa
[readme]
miracl-v1.0-fi-mdpr-tied-pft-msmarco-ft-miracl-fi
[readme]
miracl-v1.0-fr-mdpr-tied-pft-msmarco-ft-miracl-fr
[readme]
miracl-v1.0-hi-mdpr-tied-pft-msmarco-ft-miracl-hi
[readme]
miracl-v1.0-id-mdpr-tied-pft-msmarco-ft-miracl-id
[readme]
miracl-v1.0-ja-mdpr-tied-pft-msmarco-ft-miracl-ja
[readme]
miracl-v1.0-ko-mdpr-tied-pft-msmarco-ft-miracl-ko
[readme]
miracl-v1.0-ru-mdpr-tied-pft-msmarco-ft-miracl-ru
[readme]
miracl-v1.0-sw-mdpr-tied-pft-msmarco-ft-miracl-sw
[readme]
miracl-v1.0-te-mdpr-tied-pft-msmarco-ft-miracl-te
[readme]
miracl-v1.0-th-mdpr-tied-pft-msmarco-ft-miracl-th
[readme]
miracl-v1.0-zh-mdpr-tied-pft-msmarco-ft-miracl-zh
[readme]