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config.yaml
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config.yaml
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config:
REPO_ID: "mteb/leaderboard"
RESULTS_REPO: mteb/results
LEADERBOARD_NAME: "MTEB Leaderboard"
tasks:
BitextMining:
icon: "π"
metric: f1
metric_description: "[F1](https://huggingface.co/spaces/evaluate-metric/f1)"
task_description: "Bitext mining is the task of finding parallel sentences in two languages."
Classification:
icon: "β€οΈ"
metric: accuracy
metric_description: "[Accuracy](https://huggingface.co/spaces/evaluate-metric/accuracy)"
task_description: "Classification is the task of assigning a label to a text."
Clustering:
icon: "β¨"
metric: v_measure
metric_description: "Validity Measure (V-measure)"
task_description: "Clustering is the task of grouping similar documents together."
PairClassification:
icon: "π"
metric: max_ap
metric_description: "Average Precision (AP) based on the models similarity metric (usually cosine)"
task_description: "Pair classification is the task of determining whether two texts are similar."
Reranking:
icon: "π₯"
metric: map
metric_description: "Mean Average Precision (MAP)"
task_description: "Reranking is the task of reordering a list of documents to improve relevance."
Retrieval:
icon: "π"
metric: ndcg_at_10
metric_description: "Normalized Discounted Cumulative Gain @ 10 (nDCG@10)"
task_description: "Retrieval is the task of finding relevant documents for a query."
STS:
icon: "βοΈ"
metric: cosine_spearman
metric_description: "Spearman correlation based on the model's similarity metric (usually cosine)"
task_description: "Semantic Textual Similarity is the task of determining how similar two texts are."
Summarization:
icon: "π"
metric: cosine_spearman
metric_description: "Spearman correlation based on the model's similarity metric (usually cosine)"
task_description: "Summarization is the task of generating a summary of a text."
MultilabelClassification:
icon: "π·οΈ"
metric: accuracy
metric_description: "Accuracy"
task_description: "Multilabel classification is the task of assigning multiple labels to a text."
InstructionRetrieval:
icon: "ππ"
metric: "p-MRR"
metric_description: "paired mean reciprocal rank (p-MRR)"
task_description: "Retrieval w/Instructions is the task of finding relevant documents for a query that has detailed instructions."
MAIR:
icon: "π"
metric: "NDCG@10"
metric_description: "NDCG@10"
task_description: "MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. Evaluate your retrieval models on 126 diverse tasks [EMNLP 2024]. https://github.com/sunnweiwei/MAIR"
boards:
ovr:
title: "Overall"
language_long: "English"
has_overall: false
acronym: null
icon: null
special_icons: null
credits: "https://arxiv.org/abs/2410.10127"
tasks:
MAIR:
- Competition-Math
- ProofWiki_Proof
- ProofWiki_Reference
- Stacks_Proof
- Stacks_Reference
- Stein_Proof
- Stein_Reference
- Trench_Proof
- Trench_Reference
- TAD
- TAS2
- StackMathQA
- SciDocs
- SciFact
- LitSearch
- FairRanking_2020
- APPS
- CodeEditSearch
- CodeSearchNet
- Conala
- HumanEval-X
- LeetCode
- MBPP
- RepoBench
- TLDR
- SWE-Bench-Lite
- FoodAPI
- HuggingfaceAPI
- PytorchAPI
- SpotifyAPI
- TMDB
- TensorAPI
- ToolBench
- WeatherAPI
- AY2
- ELI5
- Fever
- TREx
- WnCw
- WnWi
- WoW
- zsRE
- ArguAna
- CQADupStack
- Quora
- TopiOCQA
- Touche
- ACORDAR
- CPCD
- ChroniclingAmericaQA
- NTCIR
- PointRec
- ProCIS-Dialog
- ProCIS-Turn
- QuanTemp
- WebTableSearch
- MISeD
- SParC
- SParC-SQL
- Spider
- Spider-SQL
- CAsT_2019
- CAsT_2020
- CAsT_2021
- CAsT_2022
- Core_2017
- Microblog_2011
- Microblog_2012
- Microblog_2013
- Microblog_2014
- DD_2015
- DD_2016
- DD_2017
- FairRanking_2021
- FairRanking_2022
- NeuCLIR-Tech_2023
- NeuCLIR_2022
- NeuCLIR_2023
- ProductSearch_2023
- ToT_2023
- ToT_2024
- ExcluIR
- Core17
- News21
- Robust04
- InstructIR
- NevIR
- IFEval
- AILA2019-Case
- AILA2019-Statutes
- BSARD
- BillSum
- CUAD
- GerDaLIR
- LeCaRDv2
- LegalQuAD
- REGIR-EU2UK
- REGIR-UK2EU
- TREC-Legal_2011
- NFCorpus
- Trec-Covid
- Monant
- CARE
- PrecisionMedicine_2017
- PrecisionMedicine_2018
- PrecisionMedicine_2019
- PrecisionMedicine-Article_2019
- PrecisionMedicine-Article_2020
- CliniDS_2014
- CliniDS_2015
- CliniDS_2016
- ClinicalTrials_2021
- ClinicalTrials_2022
- ClinicalTrials_2023
- Genomics-AdHoc_2004
- Genomics-AdHoc_2005
- Genomics-AdHoc_2006
- Genomics-AdHoc_2007
- Apple
- ConvFinQA
- FinQA
- FinanceBench
- HC3Finance
- TAT-DQA
- Trade-the-event
- FiQA
wb:
title: "Web"
language_long: "English"
has_overall: false
acronym: null
icon: null
special_icons: null
credits: "https://arxiv.org/abs/2410.10127"
tasks:
MAIR:
- AY2
- ELI5
- Fever
- TREx
- WnCw
- WnWi
- WoW
- zsRE
- ArguAna
- CQADupStack
- Quora
- TopiOCQA
- Touche
- ACORDAR
- CPCD
- ChroniclingAmericaQA
- NTCIR
- PointRec
- ProCIS-Dialog
- ProCIS-Turn
- QuanTemp
- WebTableSearch
- MISeD
- SParC
- SParC-SQL
- Spider
- Spider-SQL
- CAsT_2019
- CAsT_2020
- CAsT_2021
- CAsT_2022
- Core_2017
- Microblog_2011
- Microblog_2012
- Microblog_2013
- Microblog_2014
- DD_2015
- DD_2016
- DD_2017
- FairRanking_2021
- FairRanking_2022
- NeuCLIR-Tech_2023
- NeuCLIR_2022
- NeuCLIR_2023
- ProductSearch_2023
- ToT_2023
- ToT_2024
- ExcluIR
- Core17
- News21
- Robust04
- InstructIR
- NevIR
- IFEval
acd:
title: "Academic"
language_long: "English"
has_overall: false
acronym: null
icon: null
special_icons: null
credits: "https://arxiv.org/abs/2410.10127"
tasks:
MAIR:
- Competition-Math
- ProofWiki_Proof
- ProofWiki_Reference
- Stacks_Proof
- Stacks_Reference
- Stein_Proof
- Stein_Reference
- Trench_Proof
- Trench_Reference
- TAD
- TAS2
- StackMathQA
- SciDocs
- SciFact
- LitSearch
- FairRanking_2020
lg:
title: "Legal"
language_long: "English"
has_overall: false
acronym: null
icon: null
special_icons: null
credits: "https://arxiv.org/abs/2410.10127"
tasks:
MAIR:
- AILA2019-Case
- AILA2019-Statutes
- BSARD
- BillSum
- CUAD
- GerDaLIR
- LeCaRDv2
- LegalQuAD
- REGIR-EU2UK
- REGIR-UK2EU
- TREC-Legal_2011
mdc:
title: "Medical"
language_long: "English"
has_overall: false
acronym: null
icon: null
special_icons: null
credits: "https://arxiv.org/abs/2410.10127"
tasks:
MAIR:
- NFCorpus
- Trec-Covid
- Monant
- CARE
- PrecisionMedicine_2017
- PrecisionMedicine_2018
- PrecisionMedicine_2019
- PrecisionMedicine-Article_2019
- PrecisionMedicine-Article_2020
- CliniDS_2014
- CliniDS_2015
- CliniDS_2016
- ClinicalTrials_2021
- ClinicalTrials_2022
- ClinicalTrials_2023
- Genomics-AdHoc_2004
- Genomics-AdHoc_2005
- Genomics-AdHoc_2006
- Genomics-AdHoc_2007
fnc:
title: "Finance"
language_long: "English"
has_overall: false
acronym: null
icon: null
special_icons: null
credits: "https://arxiv.org/abs/2410.10127"
tasks:
MAIR:
- Apple
- ConvFinQA
- FinQA
- FinanceBench
- HC3Finance
- TAT-DQA
- Trade-the-event
- FiQA
cd:
title: "Code"
language_long: "English"
has_overall: false
acronym: null
icon: null
special_icons: null
credits: "https://arxiv.org/abs/2410.10127"
tasks:
MAIR:
- APPS
- CodeEditSearch
- CodeSearchNet
- Conala
- HumanEval-X
- LeetCode
- MBPP
- RepoBench
- TLDR
- SWE-Bench-Lite
- FoodAPI
- HuggingfaceAPI
- PytorchAPI
- SpotifyAPI
- TMDB
- TensorAPI
- ToolBench
- WeatherAPI
en:
title: English
language_long: "English"
has_overall: true
acronym: null
icon: null
special_icons: null
credits: null
tasks:
Classification:
- AmazonCounterfactualClassification (en)
- AmazonPolarityClassification
- AmazonReviewsClassification (en)
- Banking77Classification
- EmotionClassification
- ImdbClassification
- MassiveIntentClassification (en)
- MassiveScenarioClassification (en)
- MTOPDomainClassification (en)
- MTOPIntentClassification (en)
- ToxicConversationsClassification
- TweetSentimentExtractionClassification
Clustering:
- ArxivClusteringP2P
- ArxivClusteringS2S
- BiorxivClusteringP2P
- BiorxivClusteringS2S
- MedrxivClusteringP2P
- MedrxivClusteringS2S
- RedditClustering
- RedditClusteringP2P
- StackExchangeClustering
- StackExchangeClusteringP2P
- TwentyNewsgroupsClustering
PairClassification:
- SprintDuplicateQuestions
- TwitterSemEval2015
- TwitterURLCorpus
Reranking:
- AskUbuntuDupQuestions
- MindSmallReranking
- SciDocsRR
- StackOverflowDupQuestions
Retrieval:
- ArguAna
- ClimateFEVER
- CQADupstackRetrieval
- DBPedia
- FEVER
- FiQA2018
- HotpotQA
- MSMARCO
- NFCorpus
- NQ
- QuoraRetrieval
- SCIDOCS
- SciFact
- Touche2020
- TRECCOVID
STS:
- BIOSSES
- SICK-R
- STS12
- STS13
- STS14
- STS15
- STS16
- STS17 (en-en)
- STS22 (en)
- STSBenchmark
Summarization:
- SummEval
en-x:
title: "English-X"
language_long: "117 (Pairs of: English & other language)"
has_overall: false
acronym: null
icon: null
special_icons: null
credits: null
tasks:
BitextMining: ['BUCC (de-en)', 'BUCC (fr-en)', 'BUCC (ru-en)', 'BUCC (zh-en)', 'Tatoeba (afr-eng)', 'Tatoeba (amh-eng)', 'Tatoeba (ang-eng)', 'Tatoeba (ara-eng)', 'Tatoeba (arq-eng)', 'Tatoeba (arz-eng)', 'Tatoeba (ast-eng)', 'Tatoeba (awa-eng)', 'Tatoeba (aze-eng)', 'Tatoeba (bel-eng)', 'Tatoeba (ben-eng)', 'Tatoeba (ber-eng)', 'Tatoeba (bos-eng)', 'Tatoeba (bre-eng)', 'Tatoeba (bul-eng)', 'Tatoeba (cat-eng)', 'Tatoeba (cbk-eng)', 'Tatoeba (ceb-eng)', 'Tatoeba (ces-eng)', 'Tatoeba (cha-eng)', 'Tatoeba (cmn-eng)', 'Tatoeba (cor-eng)', 'Tatoeba (csb-eng)', 'Tatoeba (cym-eng)', 'Tatoeba (dan-eng)', 'Tatoeba (deu-eng)', 'Tatoeba (dsb-eng)', 'Tatoeba (dtp-eng)', 'Tatoeba (ell-eng)', 'Tatoeba (epo-eng)', 'Tatoeba (est-eng)', 'Tatoeba (eus-eng)', 'Tatoeba (fao-eng)', 'Tatoeba (fin-eng)', 'Tatoeba (fra-eng)', 'Tatoeba (fry-eng)', 'Tatoeba (gla-eng)', 'Tatoeba (gle-eng)', 'Tatoeba (glg-eng)', 'Tatoeba (gsw-eng)', 'Tatoeba (heb-eng)', 'Tatoeba (hin-eng)', 'Tatoeba (hrv-eng)', 'Tatoeba (hsb-eng)', 'Tatoeba (hun-eng)', 'Tatoeba (hye-eng)', 'Tatoeba (ido-eng)', 'Tatoeba (ile-eng)', 'Tatoeba (ina-eng)', 'Tatoeba (ind-eng)', 'Tatoeba (isl-eng)', 'Tatoeba (ita-eng)', 'Tatoeba (jav-eng)', 'Tatoeba (jpn-eng)', 'Tatoeba (kab-eng)', 'Tatoeba (kat-eng)', 'Tatoeba (kaz-eng)', 'Tatoeba (khm-eng)', 'Tatoeba (kor-eng)', 'Tatoeba (kur-eng)', 'Tatoeba (kzj-eng)', 'Tatoeba (lat-eng)', 'Tatoeba (lfn-eng)', 'Tatoeba (lit-eng)', 'Tatoeba (lvs-eng)', 'Tatoeba (mal-eng)', 'Tatoeba (mar-eng)', 'Tatoeba (max-eng)', 'Tatoeba (mhr-eng)', 'Tatoeba (mkd-eng)', 'Tatoeba (mon-eng)', 'Tatoeba (nds-eng)', 'Tatoeba (nld-eng)', 'Tatoeba (nno-eng)', 'Tatoeba (nob-eng)', 'Tatoeba (nov-eng)', 'Tatoeba (oci-eng)', 'Tatoeba (orv-eng)', 'Tatoeba (pam-eng)', 'Tatoeba (pes-eng)', 'Tatoeba (pms-eng)', 'Tatoeba (pol-eng)', 'Tatoeba (por-eng)', 'Tatoeba (ron-eng)', 'Tatoeba (rus-eng)', 'Tatoeba (slk-eng)', 'Tatoeba (slv-eng)', 'Tatoeba (spa-eng)', 'Tatoeba (sqi-eng)', 'Tatoeba (srp-eng)', 'Tatoeba (swe-eng)', 'Tatoeba (swg-eng)', 'Tatoeba (swh-eng)', 'Tatoeba (tam-eng)', 'Tatoeba (tat-eng)', 'Tatoeba (tel-eng)', 'Tatoeba (tgl-eng)', 'Tatoeba (tha-eng)', 'Tatoeba (tuk-eng)', 'Tatoeba (tur-eng)', 'Tatoeba (tzl-eng)', 'Tatoeba (uig-eng)', 'Tatoeba (ukr-eng)', 'Tatoeba (urd-eng)', 'Tatoeba (uzb-eng)', 'Tatoeba (vie-eng)', 'Tatoeba (war-eng)', 'Tatoeba (wuu-eng)', 'Tatoeba (xho-eng)', 'Tatoeba (yid-eng)', 'Tatoeba (yue-eng)', 'Tatoeba (zsm-eng)']
zh:
title: Chinese
language_long: Chinese
has_overall: true
acronym: C-MTEB
icon: "π¨π³"
special_icons:
Classification: "π§‘"
credits: "[FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding)"
tasks:
Classification:
- AmazonReviewsClassification (zh)
- IFlyTek
- JDReview
- MassiveIntentClassification (zh-CN)
- MassiveScenarioClassification (zh-CN)
- MultilingualSentiment
- OnlineShopping
- TNews
- Waimai
Clustering:
- CLSClusteringP2P
- CLSClusteringS2S
- ThuNewsClusteringP2P
- ThuNewsClusteringS2S
PairClassification:
- Cmnli
- Ocnli
Reranking:
- CMedQAv1
- CMedQAv2
- MMarcoReranking
- T2Reranking
Retrieval:
- CmedqaRetrieval
- CovidRetrieval
- DuRetrieval
- EcomRetrieval
- MedicalRetrieval
- MMarcoRetrieval
- T2Retrieval
- VideoRetrieval
STS:
- AFQMC
- ATEC
- BQ
- LCQMC
- PAWSX
- QBQTC
- STS22 (zh)
- STSB
da:
title: Danish
language_long: Danish
has_overall: false
acronym: null
icon: "π©π°"
special_icons:
Classification: "π€"
credits: "[Kenneth Enevoldsen](https://github.com/KennethEnevoldsen), [scandinavian-embedding-benchmark](https://kennethenevoldsen.github.io/scandinavian-embedding-benchmark/)"
tasks:
BitextMining:
- BornholmBitextMining
Classification:
- AngryTweetsClassification
- DanishPoliticalCommentsClassification
- DKHateClassification
- LccSentimentClassification
- MassiveIntentClassification (da)
- MassiveScenarioClassification (da)
- NordicLangClassification
- ScalaDaClassification
fr:
title: French
language_long: "French"
has_overall: true
acronym: "F-MTEB"
icon: "π«π·"
special_icons:
Classification: "π"
credits: "[Lyon-NLP](https://github.com/Lyon-NLP): [Gabriel Sequeira](https://github.com/GabrielSequeira), [Imene Kerboua](https://github.com/imenelydiaker), [Wissam Siblini](https://github.com/wissam-sib), [Mathieu Ciancone](https://github.com/MathieuCiancone), [Marion Schaeffer](https://github.com/schmarion)"
tasks:
Classification:
- AmazonReviewsClassification (fr)
- MasakhaNEWSClassification (fra)
- MassiveIntentClassification (fr)
- MassiveScenarioClassification (fr)
- MTOPDomainClassification (fr)
- MTOPIntentClassification (fr)
Clustering:
- AlloProfClusteringP2P
- AlloProfClusteringS2S
- HALClusteringS2S
- MLSUMClusteringP2P (fr)
- MLSUMClusteringS2S (fr)
- MasakhaNEWSClusteringP2P (fra)
- MasakhaNEWSClusteringS2S (fra)
PairClassification:
- OpusparcusPC (fr)
- PawsXPairClassification (fr)
Reranking:
- AlloprofReranking
- SyntecReranking
Retrieval:
- AlloprofRetrieval
- BSARDRetrieval
- MintakaRetrieval (fr)
- SyntecRetrieval
- XPQARetrieval (fr)
STS:
- STS22 (fr)
- STSBenchmarkMultilingualSTS (fr)
- SICKFr
Summarization:
- SummEvalFr
'no':
title: Norwegian
language_long: "Norwegian BokmΓ₯l"
has_overall: false
acronym: null
icon: "π³π΄"
special_icons:
Classification: "π"
credits: "[Kenneth Enevoldsen](https://github.com/KennethEnevoldsen), [scandinavian-embedding-benchmark](https://kennethenevoldsen.github.io/scandinavian-embedding-benchmark/)"
tasks:
Classification: &id001
- NoRecClassification
- NordicLangClassification
- NorwegianParliament
- MassiveIntentClassification (nb)
- MassiveScenarioClassification (nb)
- ScalaNbClassification
instructions:
title: English
language_long: "English"
has_overall: false
acronym: null
icon: null
credits: "[Orion Weller, FollowIR](https://arxiv.org/abs/2403.15246)"
tasks:
InstructionRetrieval:
- Robust04InstructionRetrieval
- News21InstructionRetrieval
- Core17InstructionRetrieval
de:
title: German
language_long: "German"
has_overall: false
acronym: null
icon: "π©πͺ"
special_icons: null
credits: "[Silvan](https://github.com/slvnwhrl)"
tasks:
Clustering:
- BlurbsClusteringP2P
- BlurbsClusteringS2S
- TenKGnadClusteringP2P
- TenKGnadClusteringS2S
pl:
title: Polish
language_long: Polish
has_overall: true
acronym: null
icon: "π΅π±"
special_icons:
Classification: "π€"
credits: "[RafaΕ PoΕwiata](https://github.com/rafalposwiata)"
tasks:
Classification:
- AllegroReviews
- CBD
- MassiveIntentClassification (pl)
- MassiveScenarioClassification (pl)
- PAC
- PolEmo2.0-IN
- PolEmo2.0-OUT
Clustering:
- 8TagsClustering
PairClassification:
- CDSC-E
- PPC
- PSC
- SICK-E-PL
Retrieval:
- ArguAna-PL
- DBPedia-PL
- FiQA-PL
- HotpotQA-PL
- MSMARCO-PL
- NFCorpus-PL
- NQ-PL
- Quora-PL
- SCIDOCS-PL
- SciFact-PL
- TRECCOVID-PL
STS:
- CDSC-R
- SICK-R-PL
- STS22 (pl)
ru:
title: Russian
language_long: "Russian"
has_overall: true
acronym: null
icon: "π·πΊ"
special_icons: null
credits: "[Roman Solomatin](https://github.com/Samoed) and SaluteDevices: [Alena Fenogenova](https://github.com/Alenush), [Aleksandr Abramov](https://github.com/Ab1992ao), [Artem Snegirev](https://github.com/artemsnegirev), [Anna Maksimova](https://github.com/anpalmak2003), [Maria Tikhonova](https://github.com/MariyaTikhonova)"
tasks:
Classification:
- GeoreviewClassification
- HeadlineClassification
- InappropriatenessClassification
- KinopoiskClassification
- RuReviewsClassification
- RuSciBenchGRNTIClassification
- RuSciBenchOECDClassification
- MassiveIntentClassification (ru)
- MassiveScenarioClassification (ru)
Clustering:
- GeoreviewClusteringP2P
- RuSciBenchGRNTIClusteringP2P
- RuSciBenchOECDClusteringP2P
PairClassification:
- TERRa
Reranking:
- RuBQReranking
- MIRACLReranking (ru)
Retrieval:
- RiaNewsRetrieval
- RuBQRetrieval
- MIRACLRetrieval (ru)
STS:
- RUParaPhraserSTS
- RuSTSBenchmarkSTS
- STS22 (ru)
MultilabelClassification:
- CEDRClassification
- SensitiveTopicsClassification
se:
title: Swedish
language_long: Swedish
has_overall: false
acronym: null
icon: "πΈπͺ"
special_icons:
Classification: "π"
credits: "[Kenneth Enevoldsen](https://github.com/KennethEnevoldsen), [scandinavian-embedding-benchmark](https://kennethenevoldsen.github.io/scandinavian-embedding-benchmark/)"
tasks:
Classification:
- NoRecClassification
- NordicLangClassification
- NorwegianParliament
- MassiveIntentClassification (nb)
- MassiveScenarioClassification (nb)
- ScalaNbClassification
other-cls:
title: "Other Languages"
language_long: "47 (Only languages not included in the other tabs)"
has_overall: false
acronym: null
icon: null
special_icons:
Classification: "πππ"
credits: null
tasks:
Classification: ['AmazonCounterfactualClassification (de)', 'AmazonCounterfactualClassification (ja)', 'AmazonReviewsClassification (de)', 'AmazonReviewsClassification (es)', 'AmazonReviewsClassification (fr)', 'AmazonReviewsClassification (ja)', 'AmazonReviewsClassification (zh)', 'MTOPDomainClassification (de)', 'MTOPDomainClassification (es)', 'MTOPDomainClassification (fr)', 'MTOPDomainClassification (hi)', 'MTOPDomainClassification (th)', 'MTOPIntentClassification (de)', 'MTOPIntentClassification (es)', 'MTOPIntentClassification (fr)', 'MTOPIntentClassification (hi)', 'MTOPIntentClassification (th)', 'MassiveIntentClassification (af)', 'MassiveIntentClassification (am)', 'MassiveIntentClassification (ar)', 'MassiveIntentClassification (az)', 'MassiveIntentClassification (bn)', 'MassiveIntentClassification (cy)', 'MassiveIntentClassification (de)', 'MassiveIntentClassification (el)', 'MassiveIntentClassification (es)', 'MassiveIntentClassification (fa)', 'MassiveIntentClassification (fi)', 'MassiveIntentClassification (fr)', 'MassiveIntentClassification (he)', 'MassiveIntentClassification (hi)', 'MassiveIntentClassification (hu)', 'MassiveIntentClassification (hy)', 'MassiveIntentClassification (id)', 'MassiveIntentClassification (is)', 'MassiveIntentClassification (it)', 'MassiveIntentClassification (ja)', 'MassiveIntentClassification (jv)', 'MassiveIntentClassification (ka)', 'MassiveIntentClassification (km)', 'MassiveIntentClassification (kn)', 'MassiveIntentClassification (ko)', 'MassiveIntentClassification (lv)', 'MassiveIntentClassification (ml)', 'MassiveIntentClassification (mn)', 'MassiveIntentClassification (ms)', 'MassiveIntentClassification (my)', 'MassiveIntentClassification (nl)', 'MassiveIntentClassification (pt)', 'MassiveIntentClassification (ro)', 'MassiveIntentClassification (ru)', 'MassiveIntentClassification (sl)', 'MassiveIntentClassification (sq)', 'MassiveIntentClassification (sw)', 'MassiveIntentClassification (ta)', 'MassiveIntentClassification (te)', 'MassiveIntentClassification (th)', 'MassiveIntentClassification (tl)', 'MassiveIntentClassification (tr)', 'MassiveIntentClassification (ur)', 'MassiveIntentClassification (vi)', 'MassiveIntentClassification (zh-TW)', 'MassiveScenarioClassification (af)', 'MassiveScenarioClassification (am)', 'MassiveScenarioClassification (ar)', 'MassiveScenarioClassification (az)', 'MassiveScenarioClassification (bn)', 'MassiveScenarioClassification (cy)', 'MassiveScenarioClassification (de)', 'MassiveScenarioClassification (el)', 'MassiveScenarioClassification (es)', 'MassiveScenarioClassification (fa)', 'MassiveScenarioClassification (fi)', 'MassiveScenarioClassification (fr)', 'MassiveScenarioClassification (he)', 'MassiveScenarioClassification (hi)', 'MassiveScenarioClassification (hu)', 'MassiveScenarioClassification (hy)', 'MassiveScenarioClassification (id)', 'MassiveScenarioClassification (is)', 'MassiveScenarioClassification (it)', 'MassiveScenarioClassification (ja)', 'MassiveScenarioClassification (jv)', 'MassiveScenarioClassification (ka)', 'MassiveScenarioClassification (km)', 'MassiveScenarioClassification (kn)', 'MassiveScenarioClassification (ko)', 'MassiveScenarioClassification (lv)', 'MassiveScenarioClassification (ml)', 'MassiveScenarioClassification (mn)', 'MassiveScenarioClassification (ms)', 'MassiveScenarioClassification (my)', 'MassiveScenarioClassification (nl)', 'MassiveScenarioClassification (pt)', 'MassiveScenarioClassification (ro)', 'MassiveScenarioClassification (ru)', 'MassiveScenarioClassification (sl)', 'MassiveScenarioClassification (sq)', 'MassiveScenarioClassification (sw)', 'MassiveScenarioClassification (ta)', 'MassiveScenarioClassification (te)', 'MassiveScenarioClassification (th)', 'MassiveScenarioClassification (tl)', 'MassiveScenarioClassification (tr)', 'MassiveScenarioClassification (ur)', 'MassiveScenarioClassification (vi)', 'MassiveScenarioClassification (zh-TW)']
other-sts:
title: Other
language_long: "Arabic, Chinese, Dutch, English, French, German, Italian, Korean, Polish, Russian, Spanish (Only language combos not included in the other tabs)"
has_overall: false
acronym: null
icon: null
special_icons: null
credits: null
tasks:
STS: ["STS17 (ar-ar)", "STS17 (en-ar)", "STS17 (en-de)", "STS17 (en-tr)", "STS17 (es-en)", "STS17 (es-es)", "STS17 (fr-en)", "STS17 (it-en)", "STS17 (ko-ko)", "STS17 (nl-en)", "STS22 (ar)", "STS22 (de)", "STS22 (de-en)", "STS22 (de-fr)", "STS22 (de-pl)", "STS22 (es)", "STS22 (es-en)", "STS22 (es-it)", "STS22 (fr)", "STS22 (fr-pl)", "STS22 (it)", "STS22 (pl)", "STS22 (pl-en)", "STS22 (ru)", "STS22 (tr)", "STS22 (zh-en)", "STSBenchmark"]
law:
title: Law
language_long: "English, German, Chinese"
has_overall: false
acronym: null
icon: "βοΈ"
special_icons: null
credits: "[Voyage AI](https://www.voyageai.com/)"
tasks:
Retrieval:
- AILACasedocs
- AILAStatutes
- GerDaLIRSmall
- LeCaRDv2
- LegalBenchConsumerContractsQA
- LegalBenchCorporateLobbying
- LegalQuAD
- LegalSummarization
longembed:
title: LongEmbed
language_long: "English"
has_overall: false
acronym: null
icon: "π"
special_icons: null
credits: "[LongEmbed (Dawei Zhu et al.)](https://arxiv.org/abs/2404.12096v2)"
metric: nDCG@10 (for NarrativeQA, QMSum, SummScreenFD, WikimQA) & nDCG@1 (for passkey and needle)
tasks:
Retrieval:
- LEMBNarrativeQARetrieval
- LEMBNeedleRetrieval
- LEMBPasskeyRetrieval
- LEMBQMSumRetrieval
- LEMBSummScreenFDRetrieval
- LEMBWikimQARetrieval
rar-b:
title: RAR-b
language_long: "English"
has_overall: false
acronym: null
icon: "π"
special_icons: null
credits: "[RAR-b (Chenghao Xiao et al.)](https://arxiv.org/abs/2404.06347/)"
metric: nDCG@10
tasks:
Retrieval:
- ARCChallenge
- AlphaNLI
- HellaSwag
- PIQA
- Quail
- RARbCode
- RARbMath
- SIQA
- SpartQA
- TempReasonL1
- TempReasonL2Fact
- TempReasonL2Pure
- TempReasonL3Fact
- TempReasonL3Pure
- WinoGrande
bright:
title: BRIGHT
language_long: "English"
has_overall: false
acronym: null
icon: "π"
special_icons: null
credits: "[BRIGHT (Hongjin Su, Howard Yen, Mengzhou Xia et al.)](https://brightbenchmark.github.io/)"
metric: nDCG@10
split: standard
desc: This tab only allows submissions with the original queries; not results from LLM rewritten queries or using reranking.
tasks:
Retrieval:
- BrightRetrieval (biology)
- BrightRetrieval (earth_science)
- BrightRetrieval (economics)
- BrightRetrieval (psychology)
- BrightRetrieval (robotics)
- BrightRetrieval (stackoverflow)
- BrightRetrieval (sustainable_living)
- BrightRetrieval (pony)
- BrightRetrieval (leetcode)
- BrightRetrieval (aops)
- BrightRetrieval (theoremqa_theorems)
- BrightRetrieval (theoremqa_questions)
bright_long:
title: BRIGHT Long
language_long: "English"
has_overall: false
acronym: null
icon: "π"
special_icons: null
credits: "[BRIGHT (Hongjin Su, Howard Yen, Mengzhou Xia et al.)](https://brightbenchmark.github.io/)"
metric: Recall@1
split: long
desc: This tab is for the long document setting of BRIGHT.
tasks:
Retrieval:
- BrightRetrieval (biology)
- BrightRetrieval (earth_science)
- BrightRetrieval (economics)
- BrightRetrieval (psychology)
- BrightRetrieval (robotics)
- BrightRetrieval (stackoverflow)
- BrightRetrieval (sustainable_living)
- BrightRetrieval (pony)
coir:
title: CoIR
language_long: "Code"
has_overall: false
acronym: null
icon: "π»"
special_icons: null
credits: "[Samoed](https://github.com/Samoed) and [monikernemo](https://github.com/monikernemo) and [CoIR (Xiangyang Li, Kuicai Dong, Yi Quan Lee et al.)](https://arxiv.org/abs/2407.02883)"
metric: nDCG@10
tasks:
Retrieval:
- AppsRetrieval
- CodeFeedbackMT
- CodeFeedbackST
- CodeSearchNetCCRetrieval (python)
- CodeSearchNetCCRetrieval (javascript)
- CodeSearchNetCCRetrieval (go)
- CodeSearchNetCCRetrieval (ruby)
- CodeSearchNetCCRetrieval (java)
- CodeSearchNetCCRetrieval (php)
- CodeSearchNetRetrieval (python)
- CodeSearchNetRetrieval (javascript)
- CodeSearchNetRetrieval (go)
- CodeSearchNetRetrieval (ruby)
- CodeSearchNetRetrieval (java)
- CodeSearchNetRetrieval (php)
- CodeTransOceanContest
- CodeTransOceanDL
- CosQA
- StackOverflowQA
- SyntheticText2SQL