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README.md
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---
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quantized_by: bartowski
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pipeline_tag: text-generation
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language:
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- en
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- ar
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- cs
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- de
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- es
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- fr
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- it
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- ja
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- ko
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- nl
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- pt
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- zh
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tags:
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- language
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- granite
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- embeddings
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- multilingual
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license: apache-2.0
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base_model: ibm-granite/granite-embedding-107m-multilingual
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model-index:
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- name: ibm-granite/granite-embedding-107m-multilingual
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results:
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- task:
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type: Retrieval
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dataset:
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name: Miracl (en)
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type: miracl/mmteb-miracl
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config: en
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.41176
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- type: ndcg_at_10
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value: 0.46682
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- type: ndcg_at_100
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value: 0.54326
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- type: ndcg_at_1000
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value: 0.56567
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- type: ndcg_at_20
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value: 0.50157
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- type: ndcg_at_3
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value: 0.41197
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- type: ndcg_at_5
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value: 0.42086
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- type: recall_at_1
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value: 0.19322
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- type: recall_at_10
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value: 0.57721
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- type: recall_at_100
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value: 0.83256
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- type: recall_at_1000
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value: 0.95511
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- type: recall_at_20
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value: 0.6757
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- type: recall_at_3
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value: 0.37171
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- type: recall_at_5
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value: 0.44695
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- task:
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type: Retrieval
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dataset:
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name: Miracl (ar)
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type: miracl/mmteb-miracl
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config: ar
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.55559
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- type: ndcg_at_10
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value: 0.62541
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- type: ndcg_at_100
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value: 0.67101
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- type: ndcg_at_1000
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value: 0.6805
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- type: ndcg_at_20
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value: 0.64739
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- type: ndcg_at_3
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value: 0.56439
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- type: ndcg_at_5
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value: 0.59347
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- type: recall_at_1
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value: 0.37009
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- type: recall_at_10
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value: 0.73317
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- type: recall_at_100
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value: 0.90066
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- type: recall_at_1000
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value: 0.96272
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- type: recall_at_20
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value: 0.80205
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- type: recall_at_3
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value: 0.56903
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- type: recall_at_5
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value: 0.6518
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- task:
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type: Retrieval
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dataset:
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name: Miracl (bn)
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type: miracl/mmteb-miracl
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config: bn
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.56691
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- type: ndcg_at_10
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value: 0.65484
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- type: ndcg_at_100
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value: 0.70142
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- type: ndcg_at_1000
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value: 0.70994
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- type: ndcg_at_20
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value: 0.67838
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- type: ndcg_at_3
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value: 0.5988
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- type: ndcg_at_5
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value: 0.62718
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- type: recall_at_1
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value: 0.3605
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- type: recall_at_10
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value: 0.76854
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- type: recall_at_100
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value: 0.9285
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- type: recall_at_1000
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value: 0.97928
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- type: recall_at_20
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value: 0.83667
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- type: recall_at_3
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value: 0.61596
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- type: recall_at_5
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value: 0.69766
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- task:
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type: Retrieval
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dataset:
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name: Miracl (de)
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type: miracl/mmteb-miracl
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config: de
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.41967
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- type: ndcg_at_10
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value: 0.45141
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- type: ndcg_at_100
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value: 0.53461
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- type: ndcg_at_1000
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value: 0.55463
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- type: ndcg_at_20
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value: 0.49012
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- type: ndcg_at_3
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value: 0.39486
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- type: ndcg_at_5
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value: 0.41496
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- type: recall_at_1
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value: 0.19494
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- type: recall_at_10
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value: 0.53774
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- type: recall_at_100
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value: 0.83314
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- type: recall_at_1000
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value: 0.95045
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- type: recall_at_20
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value: 0.65659
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- type: recall_at_3
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value: 0.3556
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- type: recall_at_5
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value: 0.44448
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- task:
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type: Retrieval
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dataset:
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name: Miracl (es)
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type: miracl/mmteb-miracl
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config: es
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.54475
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- type: ndcg_at_10
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value: 0.46593
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- type: ndcg_at_100
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value: 0.58079
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- type: ndcg_at_1000
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value: 0.60656
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- type: ndcg_at_20
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value: 0.51858
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- type: ndcg_at_3
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value: 0.4578
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- type: ndcg_at_5
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value: 0.44321
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- type: recall_at_1
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value: 0.15966
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- type: recall_at_10
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value: 0.49343
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- type: recall_at_100
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value: 0.82684
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- type: recall_at_1000
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value: 0.95299
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- type: recall_at_20
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value: 0.62367
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- type: recall_at_3
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value: 0.2949
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- type: recall_at_5
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value: 0.37983
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- task:
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type: Retrieval
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dataset:
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name: Miracl (fa)
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type: miracl/mmteb-miracl
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config: fa
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.36709
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- type: ndcg_at_10
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value: 0.46961
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- type: ndcg_at_100
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value: 0.53262
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- type: ndcg_at_1000
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value: 0.55024
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- type: ndcg_at_20
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value: 0.49892
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- type: ndcg_at_3
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value: 0.40235
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- type: ndcg_at_5
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value: 0.42866
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- type: recall_at_1
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value: 0.22735
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- type: recall_at_10
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value: 0.59949
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- type: recall_at_100
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value: 0.83867
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- type: recall_at_1000
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value: 0.95007
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- type: recall_at_20
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value: 0.68947
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- type: recall_at_3
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value: 0.41781
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- type: recall_at_5
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value: 0.49374
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- task:
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type: Retrieval
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dataset:
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name: Miracl (fi)
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type: miracl/mmteb-miracl
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config: fi
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.59245
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- type: ndcg_at_10
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value: 0.65551
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- type: ndcg_at_100
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-
value: 0.6967
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-
- type: ndcg_at_1000
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-
value: 0.70521
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- type: ndcg_at_20
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value: 0.67552
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- type: ndcg_at_3
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-
value: 0.58876
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- type: ndcg_at_5
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value: 0.61779
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-
- type: recall_at_1
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value: 0.37669
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- type: recall_at_10
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-
value: 0.76529
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-
- type: recall_at_100
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-
value: 0.9156
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-
- type: recall_at_1000
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value: 0.96977
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- type: recall_at_20
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value: 0.82685
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- type: recall_at_3
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value: 0.60234
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- type: recall_at_5
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value: 0.67135
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- task:
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type: Retrieval
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dataset:
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name: Miracl (fr)
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type: miracl/mmteb-miracl
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config: fr
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.38776
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- type: ndcg_at_10
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value: 0.47589
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-
- type: ndcg_at_100
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value: 0.54641
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- type: ndcg_at_1000
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value: 0.5629
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- type: ndcg_at_20
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value: 0.51203
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-
- type: ndcg_at_3
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value: 0.38924
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-
- type: ndcg_at_5
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-
value: 0.42572
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-
- type: recall_at_1
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-
value: 0.22082
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-
- type: recall_at_10
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-
value: 0.61619
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-
- type: recall_at_100
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-
value: 0.87237
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-
- type: recall_at_1000
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-
value: 0.97449
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-
- type: recall_at_20
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-
value: 0.72689
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-
- type: recall_at_3
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-
value: 0.39527
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-
- type: recall_at_5
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-
value: 0.48983
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-
- task:
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type: Retrieval
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dataset:
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name: Miracl (hi)
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type: miracl/mmteb-miracl
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config: hi
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.33143
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-
- type: ndcg_at_10
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-
value: 0.42084
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-
- type: ndcg_at_100
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-
value: 0.48647
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-
- type: ndcg_at_1000
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330 |
-
value: 0.50712
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-
- type: ndcg_at_20
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-
value: 0.45399
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-
- type: ndcg_at_3
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-
value: 0.34988
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-
- type: ndcg_at_5
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-
value: 0.37938
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-
- type: recall_at_1
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338 |
-
value: 0.17852
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339 |
-
- type: recall_at_10
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340 |
-
value: 0.55217
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341 |
-
- type: recall_at_100
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342 |
-
value: 0.79929
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343 |
-
- type: recall_at_1000
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344 |
-
value: 0.93434
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345 |
-
- type: recall_at_20
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346 |
-
value: 0.65231
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347 |
-
- type: recall_at_3
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348 |
-
value: 0.33765
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349 |
-
- type: recall_at_5
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350 |
-
value: 0.43828
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351 |
-
- task:
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-
type: Retrieval
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dataset:
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name: Miracl (id)
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type: miracl/mmteb-miracl
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config: id
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split: dev
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metrics:
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-
- type: ndcg_at_1
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-
value: 0.43854
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-
- type: ndcg_at_10
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362 |
-
value: 0.45459
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363 |
-
- type: ndcg_at_100
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364 |
-
value: 0.53643
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365 |
-
- type: ndcg_at_1000
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-
value: 0.56052
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-
- type: ndcg_at_20
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368 |
-
value: 0.48795
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369 |
-
- type: ndcg_at_3
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-
value: 0.41041
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371 |
-
- type: ndcg_at_5
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372 |
-
value: 0.42235
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-
- type: recall_at_1
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-
value: 0.19193
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375 |
-
- type: recall_at_10
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376 |
-
value: 0.5289
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377 |
-
- type: recall_at_100
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378 |
-
value: 0.79649
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379 |
-
- type: recall_at_1000
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380 |
-
value: 0.92937
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381 |
-
- type: recall_at_20
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382 |
-
value: 0.61813
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383 |
-
- type: recall_at_3
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384 |
-
value: 0.35431
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385 |
-
- type: recall_at_5
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386 |
-
value: 0.43348
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387 |
-
- task:
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-
type: Retrieval
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-
dataset:
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name: Miracl (ja)
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type: miracl/mmteb-miracl
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config: ja
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split: dev
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metrics:
|
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-
- type: ndcg_at_1
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-
value: 0.53256
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-
- type: ndcg_at_10
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398 |
-
value: 0.59922
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399 |
-
- type: ndcg_at_100
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400 |
-
value: 0.65407
|
401 |
-
- type: ndcg_at_1000
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402 |
-
value: 0.66484
|
403 |
-
- type: ndcg_at_20
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404 |
-
value: 0.62596
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-
- type: ndcg_at_3
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-
value: 0.53717
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-
- type: ndcg_at_5
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408 |
-
value: 0.56523
|
409 |
-
- type: recall_at_1
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410 |
-
value: 0.34555
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411 |
-
- type: recall_at_10
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412 |
-
value: 0.71476
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413 |
-
- type: recall_at_100
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414 |
-
value: 0.91152
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415 |
-
- type: recall_at_1000
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416 |
-
value: 0.97728
|
417 |
-
- type: recall_at_20
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418 |
-
value: 0.79811
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419 |
-
- type: recall_at_3
|
420 |
-
value: 0.53482
|
421 |
-
- type: recall_at_5
|
422 |
-
value: 0.62327
|
423 |
-
- task:
|
424 |
-
type: Retrieval
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425 |
-
dataset:
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426 |
-
name: Miracl (ko)
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427 |
-
type: miracl/mmteb-miracl
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428 |
-
config: ko
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429 |
-
split: dev
|
430 |
-
metrics:
|
431 |
-
- type: ndcg_at_1
|
432 |
-
value: 0.5493
|
433 |
-
- type: ndcg_at_10
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434 |
-
value: 0.58413
|
435 |
-
- type: ndcg_at_100
|
436 |
-
value: 0.64374
|
437 |
-
- type: ndcg_at_1000
|
438 |
-
value: 0.65655
|
439 |
-
- type: ndcg_at_20
|
440 |
-
value: 0.61732
|
441 |
-
- type: ndcg_at_3
|
442 |
-
value: 0.53068
|
443 |
-
- type: ndcg_at_5
|
444 |
-
value: 0.55202
|
445 |
-
- type: recall_at_1
|
446 |
-
value: 0.32602
|
447 |
-
- type: recall_at_10
|
448 |
-
value: 0.68647
|
449 |
-
- type: recall_at_100
|
450 |
-
value: 0.87746
|
451 |
-
- type: recall_at_1000
|
452 |
-
value: 0.95524
|
453 |
-
- type: recall_at_20
|
454 |
-
value: 0.78089
|
455 |
-
- type: recall_at_3
|
456 |
-
value: 0.49173
|
457 |
-
- type: recall_at_5
|
458 |
-
value: 0.5827
|
459 |
-
- task:
|
460 |
-
type: Retrieval
|
461 |
-
dataset:
|
462 |
-
name: Miracl (ru)
|
463 |
-
type: miracl/mmteb-miracl
|
464 |
-
config: ru
|
465 |
-
split: dev
|
466 |
-
metrics:
|
467 |
-
- type: ndcg_at_1
|
468 |
-
value: 0.43131
|
469 |
-
- type: ndcg_at_10
|
470 |
-
value: 0.48262
|
471 |
-
- type: ndcg_at_100
|
472 |
-
value: 0.56158
|
473 |
-
- type: ndcg_at_1000
|
474 |
-
value: 0.57929
|
475 |
-
- type: ndcg_at_20
|
476 |
-
value: 0.52023
|
477 |
-
- type: ndcg_at_3
|
478 |
-
value: 0.42808
|
479 |
-
- type: ndcg_at_5
|
480 |
-
value: 0.44373
|
481 |
-
- type: recall_at_1
|
482 |
-
value: 0.22018
|
483 |
-
- type: recall_at_10
|
484 |
-
value: 0.58034
|
485 |
-
- type: recall_at_100
|
486 |
-
value: 0.84074
|
487 |
-
- type: recall_at_1000
|
488 |
-
value: 0.93938
|
489 |
-
- type: recall_at_20
|
490 |
-
value: 0.68603
|
491 |
-
- type: recall_at_3
|
492 |
-
value: 0.39307
|
493 |
-
- type: recall_at_5
|
494 |
-
value: 0.47077
|
495 |
-
- task:
|
496 |
-
type: Retrieval
|
497 |
-
dataset:
|
498 |
-
name: Miracl (sw)
|
499 |
-
type: miracl/mmteb-miracl
|
500 |
-
config: sw
|
501 |
-
split: dev
|
502 |
-
metrics:
|
503 |
-
- type: ndcg_at_1
|
504 |
-
value: 0.50415
|
505 |
-
- type: ndcg_at_10
|
506 |
-
value: 0.59111
|
507 |
-
- type: ndcg_at_100
|
508 |
-
value: 0.64312
|
509 |
-
- type: ndcg_at_1000
|
510 |
-
value: 0.65089
|
511 |
-
- type: ndcg_at_20
|
512 |
-
value: 0.61651
|
513 |
-
- type: ndcg_at_3
|
514 |
-
value: 0.5304
|
515 |
-
- type: ndcg_at_5
|
516 |
-
value: 0.56139
|
517 |
-
- type: recall_at_1
|
518 |
-
value: 0.33267
|
519 |
-
- type: recall_at_10
|
520 |
-
value: 0.72082
|
521 |
-
- type: recall_at_100
|
522 |
-
value: 0.91377
|
523 |
-
- type: recall_at_1000
|
524 |
-
value: 0.96152
|
525 |
-
- type: recall_at_20
|
526 |
-
value: 0.79943
|
527 |
-
- type: recall_at_3
|
528 |
-
value: 0.5548
|
529 |
-
- type: recall_at_5
|
530 |
-
value: 0.64302
|
531 |
-
- task:
|
532 |
-
type: Retrieval
|
533 |
-
dataset:
|
534 |
-
name: Miracl (te)
|
535 |
-
type: miracl/mmteb-miracl
|
536 |
-
config: te
|
537 |
-
split: dev
|
538 |
-
metrics:
|
539 |
-
- type: ndcg_at_1
|
540 |
-
value: 0.64372
|
541 |
-
- type: ndcg_at_10
|
542 |
-
value: 0.78175
|
543 |
-
- type: ndcg_at_100
|
544 |
-
value: 0.79523
|
545 |
-
- type: ndcg_at_1000
|
546 |
-
value: 0.79774
|
547 |
-
- type: ndcg_at_20
|
548 |
-
value: 0.78826
|
549 |
-
- type: ndcg_at_3
|
550 |
-
value: 0.74856
|
551 |
-
- type: ndcg_at_5
|
552 |
-
value: 0.77128
|
553 |
-
- type: recall_at_1
|
554 |
-
value: 0.63688
|
555 |
-
- type: recall_at_10
|
556 |
-
value: 0.90358
|
557 |
-
- type: recall_at_100
|
558 |
-
value: 0.96558
|
559 |
-
- type: recall_at_1000
|
560 |
-
value: 0.9847
|
561 |
-
- type: recall_at_20
|
562 |
-
value: 0.92834
|
563 |
-
- type: recall_at_3
|
564 |
-
value: 0.81804
|
565 |
-
- type: recall_at_5
|
566 |
-
value: 0.87198
|
567 |
-
- task:
|
568 |
-
type: Retrieval
|
569 |
-
dataset:
|
570 |
-
name: Miracl (th)
|
571 |
-
type: miracl/mmteb-miracl
|
572 |
-
config: th
|
573 |
-
split: dev
|
574 |
-
metrics:
|
575 |
-
- type: ndcg_at_1
|
576 |
-
value: 0.65484
|
577 |
-
- type: ndcg_at_10
|
578 |
-
value: 0.71774
|
579 |
-
- type: ndcg_at_100
|
580 |
-
value: 0.75362
|
581 |
-
- type: ndcg_at_1000
|
582 |
-
value: 0.75898
|
583 |
-
- type: ndcg_at_20
|
584 |
-
value: 0.73709
|
585 |
-
- type: ndcg_at_3
|
586 |
-
value: 0.66199
|
587 |
-
- type: ndcg_at_5
|
588 |
-
value: 0.68451
|
589 |
-
- type: recall_at_1
|
590 |
-
value: 0.45911
|
591 |
-
- type: recall_at_10
|
592 |
-
value: 0.82619
|
593 |
-
- type: recall_at_100
|
594 |
-
value: 0.95515
|
595 |
-
- type: recall_at_1000
|
596 |
-
value: 0.98854
|
597 |
-
- type: recall_at_20
|
598 |
-
value: 0.88447
|
599 |
-
- type: recall_at_3
|
600 |
-
value: 0.67437
|
601 |
-
- type: recall_at_5
|
602 |
-
value: 0.73786
|
603 |
-
- task:
|
604 |
-
type: Retrieval
|
605 |
-
dataset:
|
606 |
-
name: Miracl (yo)
|
607 |
-
type: miracl/mmteb-miracl
|
608 |
-
config: yo
|
609 |
-
split: dev
|
610 |
-
metrics:
|
611 |
-
- type: ndcg_at_1
|
612 |
-
value: 0.46218
|
613 |
-
- type: ndcg_at_10
|
614 |
-
value: 0.64685
|
615 |
-
- type: ndcg_at_100
|
616 |
-
value: 0.66941
|
617 |
-
- type: ndcg_at_1000
|
618 |
-
value: 0.67361
|
619 |
-
- type: ndcg_at_20
|
620 |
-
value: 0.65548
|
621 |
-
- type: ndcg_at_3
|
622 |
-
value: 0.57609
|
623 |
-
- type: ndcg_at_5
|
624 |
-
value: 0.62021
|
625 |
-
- type: recall_at_1
|
626 |
-
value: 0.42787
|
627 |
-
- type: recall_at_10
|
628 |
-
value: 0.82913
|
629 |
-
- type: recall_at_100
|
630 |
-
value: 0.93277
|
631 |
-
- type: recall_at_1000
|
632 |
-
value: 0.96499
|
633 |
-
- type: recall_at_20
|
634 |
-
value: 0.85994
|
635 |
-
- type: recall_at_3
|
636 |
-
value: 0.65406
|
637 |
-
- type: recall_at_5
|
638 |
-
value: 0.7542
|
639 |
-
- task:
|
640 |
-
type: Retrieval
|
641 |
-
dataset:
|
642 |
-
name: Miracl (zh)
|
643 |
-
type: miracl/mmteb-miracl
|
644 |
-
config: zh
|
645 |
-
split: dev
|
646 |
-
metrics:
|
647 |
-
- type: ndcg_at_1
|
648 |
-
value: 0.41985
|
649 |
-
- type: ndcg_at_10
|
650 |
-
value: 0.4837
|
651 |
-
- type: ndcg_at_100
|
652 |
-
value: 0.55961
|
653 |
-
- type: ndcg_at_1000
|
654 |
-
value: 0.5762
|
655 |
-
- type: ndcg_at_20
|
656 |
-
value: 0.51595
|
657 |
-
- type: ndcg_at_3
|
658 |
-
value: 0.42094
|
659 |
-
- type: ndcg_at_5
|
660 |
-
value: 0.44273
|
661 |
-
- type: recall_at_1
|
662 |
-
value: 0.21446
|
663 |
-
- type: recall_at_10
|
664 |
-
value: 0.59695
|
665 |
-
- type: recall_at_100
|
666 |
-
value: 0.87388
|
667 |
-
- type: recall_at_1000
|
668 |
-
value: 0.96833
|
669 |
-
- type: recall_at_20
|
670 |
-
value: 0.69252
|
671 |
-
- type: recall_at_3
|
672 |
-
value: 0.40377
|
673 |
-
- type: recall_at_5
|
674 |
-
value: 0.4903
|
675 |
---
|
676 |
|
677 |
## Llamacpp Static Quantizations of granite-embedding-107m-multilingual
|
678 |
|
679 |
-
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/
|
680 |
|
681 |
Original model: https://huggingface.co/ibm-granite/granite-embedding-107m-multilingual
|
682 |
|
@@ -686,6 +15,10 @@ Run them in [LM Studio](https://lmstudio.ai/)
|
|
686 |
|
687 |
No prompt format found, check original model page
|
688 |
|
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|
689 |
## Download a file (not the whole branch) from below:
|
690 |
|
691 |
| Filename | Quant type | File Size | Split | Description |
|
|
|
1 |
---
|
2 |
quantized_by: bartowski
|
3 |
pipeline_tag: text-generation
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4 |
---
|
5 |
|
6 |
## Llamacpp Static Quantizations of granite-embedding-107m-multilingual
|
7 |
|
8 |
+
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4381">b4381</a> for quantization.
|
9 |
|
10 |
Original model: https://huggingface.co/ibm-granite/granite-embedding-107m-multilingual
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15 |
|
16 |
No prompt format found, check original model page
|
17 |
|
18 |
+
## What's new:
|
19 |
+
|
20 |
+
Fix tokenizer
|
21 |
+
|
22 |
## Download a file (not the whole branch) from below:
|
23 |
|
24 |
| Filename | Quant type | File Size | Split | Description |
|