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README.md
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- dataset_size:2560000
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- loss:MultipleNegativesRankingLoss
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model-index:
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-
- name:
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results:
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- task:
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type: retrieval
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revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
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metrics:
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- type: map_at_1
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-
value:
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- type: map_at_10
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value:
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- type: map_at_100
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value:
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- type: map_at_1000
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value:
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- type: map_at_20
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value:
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- type: map_at_3
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value:
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- type: map_at_5
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value:
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- type: mrr_at_1
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value:
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- type: mrr_at_10
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value:
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- type: mrr_at_100
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-
value:
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- type: mrr_at_1000
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value:
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- type: mrr_at_20
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value:
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- type: mrr_at_3
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value:
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- type: mrr_at_5
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value:
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- type: ndcg_at_1
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value:
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- type: ndcg_at_10
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-
value:
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- type: ndcg_at_100
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-
value:
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- type: ndcg_at_1000
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value:
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- type: ndcg_at_20
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value:
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- type: ndcg_at_3
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value:
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- type: ndcg_at_5
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value:
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- type: precision_at_1
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value:
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- type: precision_at_10
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value:
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- type: precision_at_100
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-
value: 1.
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- type: precision_at_1000
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-
value: 0.
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- type: precision_at_20
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-
value:
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- type: precision_at_3
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-
value:
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- type: precision_at_5
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value:
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- type: recall_at_1
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value:
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- type: recall_at_10
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value:
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- type: recall_at_100
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-
value:
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- type: recall_at_1000
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value:
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- type: recall_at_20
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value:
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- type: recall_at_3
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value:
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- type: recall_at_5
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-
value:
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- task:
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type: retrieval
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dataset:
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revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
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metrics:
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- type: map_at_1
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-
value:
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- type: map_at_10
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-
value:
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- type: map_at_100
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-
value:
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- type: map_at_1000
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-
value:
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- type: map_at_20
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value:
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- type: map_at_3
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value:
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- type: map_at_5
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value:
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- type: mrr_at_1
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value:
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- type: mrr_at_10
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value:
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- type: mrr_at_100
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value:
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- type: mrr_at_1000
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-
value:
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- type: mrr_at_20
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value:
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- type: mrr_at_3
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value:
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- type: mrr_at_5
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value:
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- type: ndcg_at_1
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-
value:
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- type: ndcg_at_10
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value:
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- type: ndcg_at_100
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value:
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- type: ndcg_at_1000
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value:
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- type: ndcg_at_20
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value:
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- type: ndcg_at_3
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value:
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- type: ndcg_at_5
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value:
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- type: precision_at_1
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value:
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- type: precision_at_10
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-
value:
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- type: precision_at_100
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-
value: 0.
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- type: precision_at_1000
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-
value: 0.
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- type: precision_at_20
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-
value:
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- type: precision_at_3
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value:
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- type: precision_at_5
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value:
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- type: recall_at_1
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value:
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- type: recall_at_10
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value:
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- type: recall_at_100
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value:
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- type: recall_at_1000
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value:
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- type: recall_at_20
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value:
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- type: recall_at_3
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value:
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- type: recall_at_5
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value:
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- task:
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type: retrieval
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dataset:
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revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
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metrics:
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- type: map_at_1
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-
value:
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- type: map_at_10
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-
value:
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- type: map_at_100
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-
value:
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- type: map_at_1000
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-
value:
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- type: map_at_20
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value:
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- type: map_at_3
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value:
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- type: map_at_5
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value:
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- type: mrr_at_1
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value:
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- type: mrr_at_10
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-
value:
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- type: mrr_at_100
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-
value:
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- type: mrr_at_1000
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-
value:
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- type: mrr_at_20
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-
value:
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- type: mrr_at_3
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-
value:
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- type: mrr_at_5
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-
value:
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- type: ndcg_at_1
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-
value:
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- type: ndcg_at_10
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-
value:
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- type: ndcg_at_100
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-
value:
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- type: ndcg_at_1000
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-
value:
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- type: ndcg_at_20
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-
value:
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- type: ndcg_at_3
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-
value:
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- type: ndcg_at_5
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-
value:
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- type: precision_at_1
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-
value:
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- type: precision_at_10
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-
value:
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- type: precision_at_100
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-
value: 1.
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- type: precision_at_1000
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-
value: 0.
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- type: precision_at_20
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-
value:
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- type: precision_at_3
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-
value:
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- type: precision_at_5
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-
value:
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- type: recall_at_1
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-
value:
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- type: recall_at_10
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value:
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- type: recall_at_100
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-
value:
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- type: recall_at_1000
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-
value:
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- type: recall_at_20
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value:
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- type: recall_at_3
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value:
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- type: recall_at_5
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value:
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- task:
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type: retrieval
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dataset:
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@@ -257,75 +257,75 @@ model-index:
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revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
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metrics:
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- type: map_at_1
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-
value:
|
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- type: map_at_10
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-
value:
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- type: map_at_100
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-
value:
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- type: map_at_1000
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value:
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- type: map_at_20
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value:
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- type: map_at_3
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value:
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- type: map_at_5
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value:
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- type: mrr_at_1
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value:
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- type: mrr_at_10
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value:
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- type: mrr_at_100
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-
value:
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- type: mrr_at_1000
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-
value:
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- type: mrr_at_20
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-
value:
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- type: mrr_at_3
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-
value:
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- type: mrr_at_5
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-
value:
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- type: ndcg_at_1
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-
value:
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- type: ndcg_at_10
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-
value:
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- type: ndcg_at_100
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-
value:
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- type: ndcg_at_1000
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-
value:
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- type: ndcg_at_20
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-
value:
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- type: ndcg_at_3
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-
value:
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- type: ndcg_at_5
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value:
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- type: precision_at_1
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value:
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- type: precision_at_10
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-
value:
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- type: precision_at_100
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-
value: 0.
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- type: precision_at_1000
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-
value: 0.
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- type: precision_at_20
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-
value:
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- type: precision_at_3
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-
value:
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- type: precision_at_5
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-
value:
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- type: recall_at_1
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value:
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- type: recall_at_10
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value:
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- type: recall_at_100
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value:
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- type: recall_at_1000
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value:
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- type: recall_at_20
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value:
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- type: recall_at_3
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value:
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- type: recall_at_5
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value:
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- task:
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type: retrieval
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dataset:
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revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
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metrics:
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- type: map_at_1
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-
value:
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- type: map_at_10
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value:
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- type: map_at_100
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value:
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- type: map_at_1000
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value:
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- type: map_at_20
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value:
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- type: map_at_3
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value:
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- type: map_at_5
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value:
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- type: mrr_at_1
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value:
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- type: mrr_at_10
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value:
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- type: mrr_at_100
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value:
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- type: mrr_at_1000
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value:
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- type: mrr_at_20
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value:
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- type: mrr_at_3
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-
value:
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- type: mrr_at_5
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-
value:
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- type: ndcg_at_1
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-
value:
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- type: ndcg_at_10
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-
value:
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- type: ndcg_at_100
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-
value:
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- type: ndcg_at_1000
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-
value:
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- type: ndcg_at_20
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-
value:
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- type: ndcg_at_3
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-
value:
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- type: ndcg_at_5
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value:
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- type: precision_at_1
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-
value:
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- type: precision_at_10
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-
value: 11.
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- type: precision_at_100
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-
value: 2.
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- type: precision_at_1000
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-
value: 0.
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- type: precision_at_20
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-
value: 7.
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- type: precision_at_3
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-
value:
|
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- type: precision_at_5
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-
value:
|
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- type: recall_at_1
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-
value:
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- type: recall_at_10
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-
value:
|
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- type: recall_at_100
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-
value:
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- type: recall_at_1000
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-
value:
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- type: recall_at_20
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-
value:
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- type: recall_at_3
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-
value:
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- type: recall_at_5
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value:
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- task:
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type: retrieval
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dataset:
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revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
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metrics:
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- type: map_at_1
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-
value:
|
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- type: map_at_10
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-
value:
|
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- type: map_at_100
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-
value:
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- type: map_at_1000
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value:
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- type: map_at_20
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value:
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- type: map_at_3
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value:
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- type: map_at_5
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value:
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- type: mrr_at_1
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value:
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- type: mrr_at_10
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-
value:
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- type: mrr_at_100
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-
value:
|
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- type: mrr_at_1000
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-
value:
|
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- type: mrr_at_20
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-
value:
|
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- type: mrr_at_3
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-
value:
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- type: mrr_at_5
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-
value:
|
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- type: ndcg_at_1
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-
value:
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- type: ndcg_at_10
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-
value:
|
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- type: ndcg_at_100
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-
value:
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- type: ndcg_at_1000
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-
value:
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- type: ndcg_at_20
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-
value:
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- type: ndcg_at_3
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-
value:
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- type: ndcg_at_5
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-
value:
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- type: precision_at_1
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-
value:
|
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- type: precision_at_10
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-
value:
|
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- type: precision_at_100
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-
value: 2.
|
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- type: precision_at_1000
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-
value: 0.
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- type: precision_at_20
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-
value: 7.
|
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- type: precision_at_3
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-
value:
|
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- type: precision_at_5
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-
value:
|
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- type: recall_at_1
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-
value:
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- type: recall_at_10
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-
value:
|
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- type: recall_at_100
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-
value:
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- type: recall_at_1000
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-
value: 97.
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- type: recall_at_20
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-
value:
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- type: recall_at_3
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-
value:
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- type: recall_at_5
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value:
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- task:
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type: retrieval
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dataset:
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revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
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metrics:
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- type: map_at_1
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-
value:
|
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- type: map_at_10
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-
value:
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- type: map_at_100
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-
value:
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- type: map_at_1000
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-
value:
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- type: map_at_20
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-
value:
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- type: map_at_3
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-
value:
|
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- type: map_at_5
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value:
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- type: mrr_at_1
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value:
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- type: mrr_at_10
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-
value:
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- type: mrr_at_100
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-
value:
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- type: mrr_at_1000
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-
value:
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- type: mrr_at_20
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-
value:
|
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- type: mrr_at_3
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-
value:
|
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- type: mrr_at_5
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-
value:
|
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- type: ndcg_at_1
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-
value:
|
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- type: ndcg_at_10
|
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-
value:
|
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- type: ndcg_at_100
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-
value:
|
530 |
- type: ndcg_at_1000
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-
value:
|
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- type: ndcg_at_20
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-
value:
|
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- type: ndcg_at_3
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-
value:
|
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- type: ndcg_at_5
|
537 |
-
value:
|
538 |
- type: precision_at_1
|
539 |
-
value:
|
540 |
- type: precision_at_10
|
541 |
-
value:
|
542 |
- type: precision_at_100
|
543 |
-
value: 0.
|
544 |
- type: precision_at_1000
|
545 |
-
value: 0.
|
546 |
- type: precision_at_20
|
547 |
-
value:
|
548 |
- type: precision_at_3
|
549 |
-
value:
|
550 |
- type: precision_at_5
|
551 |
-
value:
|
552 |
- type: recall_at_1
|
553 |
-
value:
|
554 |
- type: recall_at_10
|
555 |
-
value:
|
556 |
- type: recall_at_100
|
557 |
-
value:
|
558 |
- type: recall_at_1000
|
559 |
-
value:
|
560 |
- type: recall_at_20
|
561 |
-
value:
|
562 |
- type: recall_at_3
|
563 |
-
value:
|
564 |
- type: recall_at_5
|
565 |
-
value:
|
566 |
- task:
|
567 |
type: retrieval
|
568 |
dataset:
|
@@ -573,75 +573,75 @@ model-index:
|
|
573 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
574 |
metrics:
|
575 |
- type: map_at_1
|
576 |
-
value:
|
577 |
- type: map_at_10
|
578 |
-
value:
|
579 |
- type: map_at_100
|
580 |
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value:
|
581 |
- type: map_at_1000
|
582 |
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value:
|
583 |
- type: map_at_20
|
584 |
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value:
|
585 |
- type: map_at_3
|
586 |
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value:
|
587 |
- type: map_at_5
|
588 |
-
value:
|
589 |
- type: mrr_at_1
|
590 |
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value:
|
591 |
- type: mrr_at_10
|
592 |
-
value:
|
593 |
- type: mrr_at_100
|
594 |
-
value:
|
595 |
- type: mrr_at_1000
|
596 |
-
value:
|
597 |
- type: mrr_at_20
|
598 |
-
value:
|
599 |
- type: mrr_at_3
|
600 |
-
value:
|
601 |
- type: mrr_at_5
|
602 |
-
value:
|
603 |
- type: ndcg_at_1
|
604 |
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value:
|
605 |
- type: ndcg_at_10
|
606 |
-
value:
|
607 |
- type: ndcg_at_100
|
608 |
-
value:
|
609 |
- type: ndcg_at_1000
|
610 |
-
value:
|
611 |
- type: ndcg_at_20
|
612 |
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value:
|
613 |
- type: ndcg_at_3
|
614 |
-
value:
|
615 |
- type: ndcg_at_5
|
616 |
-
value:
|
617 |
- type: precision_at_1
|
618 |
-
value:
|
619 |
- type: precision_at_10
|
620 |
-
value:
|
621 |
- type: precision_at_100
|
622 |
-
value: 1.
|
623 |
- type: precision_at_1000
|
624 |
-
value: 0.
|
625 |
- type: precision_at_20
|
626 |
-
value: 6.
|
627 |
- type: precision_at_3
|
628 |
-
value:
|
629 |
- type: precision_at_5
|
630 |
-
value:
|
631 |
- type: recall_at_1
|
632 |
-
value:
|
633 |
- type: recall_at_10
|
634 |
-
value:
|
635 |
- type: recall_at_100
|
636 |
-
value:
|
637 |
- type: recall_at_1000
|
638 |
-
value:
|
639 |
- type: recall_at_20
|
640 |
-
value:
|
641 |
- type: recall_at_3
|
642 |
-
value:
|
643 |
- type: recall_at_5
|
644 |
-
value:
|
645 |
- task:
|
646 |
type: retrieval
|
647 |
dataset:
|
@@ -652,75 +652,75 @@ model-index:
|
|
652 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
653 |
metrics:
|
654 |
- type: map_at_1
|
655 |
-
value:
|
656 |
- type: map_at_10
|
657 |
-
value:
|
658 |
- type: map_at_100
|
659 |
-
value:
|
660 |
- type: map_at_1000
|
661 |
-
value:
|
662 |
- type: map_at_20
|
663 |
-
value:
|
664 |
- type: map_at_3
|
665 |
-
value:
|
666 |
- type: map_at_5
|
667 |
-
value:
|
668 |
- type: mrr_at_1
|
669 |
-
value:
|
670 |
- type: mrr_at_10
|
671 |
-
value:
|
672 |
- type: mrr_at_100
|
673 |
-
value:
|
674 |
- type: mrr_at_1000
|
675 |
-
value:
|
676 |
- type: mrr_at_20
|
677 |
-
value:
|
678 |
- type: mrr_at_3
|
679 |
-
value:
|
680 |
- type: mrr_at_5
|
681 |
-
value:
|
682 |
- type: ndcg_at_1
|
683 |
-
value:
|
684 |
- type: ndcg_at_10
|
685 |
-
value:
|
686 |
- type: ndcg_at_100
|
687 |
-
value:
|
688 |
- type: ndcg_at_1000
|
689 |
-
value:
|
690 |
- type: ndcg_at_20
|
691 |
-
value:
|
692 |
- type: ndcg_at_3
|
693 |
-
value:
|
694 |
- type: ndcg_at_5
|
695 |
-
value:
|
696 |
- type: precision_at_1
|
697 |
-
value:
|
698 |
- type: precision_at_10
|
699 |
-
value:
|
700 |
- type: precision_at_100
|
701 |
-
value: 1.
|
702 |
- type: precision_at_1000
|
703 |
-
value: 0.
|
704 |
- type: precision_at_20
|
705 |
-
value:
|
706 |
- type: precision_at_3
|
707 |
-
value:
|
708 |
- type: precision_at_5
|
709 |
-
value:
|
710 |
- type: recall_at_1
|
711 |
-
value:
|
712 |
- type: recall_at_10
|
713 |
-
value:
|
714 |
- type: recall_at_100
|
715 |
-
value:
|
716 |
- type: recall_at_1000
|
717 |
-
value:
|
718 |
- type: recall_at_20
|
719 |
-
value:
|
720 |
- type: recall_at_3
|
721 |
-
value:
|
722 |
- type: recall_at_5
|
723 |
-
value:
|
724 |
- task:
|
725 |
type: retrieval
|
726 |
dataset:
|
@@ -731,75 +731,75 @@ model-index:
|
|
731 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
732 |
metrics:
|
733 |
- type: map_at_1
|
734 |
-
value:
|
735 |
- type: map_at_10
|
736 |
-
value:
|
737 |
- type: map_at_100
|
738 |
-
value:
|
739 |
- type: map_at_1000
|
740 |
-
value:
|
741 |
- type: map_at_20
|
742 |
-
value:
|
743 |
- type: map_at_3
|
744 |
-
value:
|
745 |
- type: map_at_5
|
746 |
-
value:
|
747 |
- type: mrr_at_1
|
748 |
-
value:
|
749 |
- type: mrr_at_10
|
750 |
-
value:
|
751 |
- type: mrr_at_100
|
752 |
-
value:
|
753 |
- type: mrr_at_1000
|
754 |
-
value:
|
755 |
- type: mrr_at_20
|
756 |
-
value:
|
757 |
- type: mrr_at_3
|
758 |
-
value:
|
759 |
- type: mrr_at_5
|
760 |
-
value:
|
761 |
- type: ndcg_at_1
|
762 |
-
value:
|
763 |
- type: ndcg_at_10
|
764 |
-
value:
|
765 |
- type: ndcg_at_100
|
766 |
-
value:
|
767 |
- type: ndcg_at_1000
|
768 |
-
value:
|
769 |
- type: ndcg_at_20
|
770 |
-
value:
|
771 |
- type: ndcg_at_3
|
772 |
-
value:
|
773 |
- type: ndcg_at_5
|
774 |
-
value:
|
775 |
- type: precision_at_1
|
776 |
-
value:
|
777 |
- type: precision_at_10
|
778 |
-
value:
|
779 |
- type: precision_at_100
|
780 |
-
value: 0.
|
781 |
- type: precision_at_1000
|
782 |
-
value: 0.
|
783 |
- type: precision_at_20
|
784 |
-
value:
|
785 |
- type: precision_at_3
|
786 |
-
value:
|
787 |
- type: precision_at_5
|
788 |
-
value:
|
789 |
- type: recall_at_1
|
790 |
-
value:
|
791 |
- type: recall_at_10
|
792 |
-
value:
|
793 |
- type: recall_at_100
|
794 |
-
value:
|
795 |
- type: recall_at_1000
|
796 |
-
value:
|
797 |
- type: recall_at_20
|
798 |
-
value:
|
799 |
- type: recall_at_3
|
800 |
-
value:
|
801 |
- type: recall_at_5
|
802 |
-
value:
|
803 |
- task:
|
804 |
type: retrieval
|
805 |
dataset:
|
@@ -810,75 +810,75 @@ model-index:
|
|
810 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
811 |
metrics:
|
812 |
- type: map_at_1
|
813 |
-
value:
|
814 |
- type: map_at_10
|
815 |
-
value:
|
816 |
- type: map_at_100
|
817 |
-
value:
|
818 |
- type: map_at_1000
|
819 |
-
value:
|
820 |
- type: map_at_20
|
821 |
-
value:
|
822 |
- type: map_at_3
|
823 |
-
value:
|
824 |
- type: map_at_5
|
825 |
-
value:
|
826 |
- type: mrr_at_1
|
827 |
-
value:
|
828 |
- type: mrr_at_10
|
829 |
-
value:
|
830 |
- type: mrr_at_100
|
831 |
-
value:
|
832 |
- type: mrr_at_1000
|
833 |
-
value:
|
834 |
- type: mrr_at_20
|
835 |
-
value:
|
836 |
- type: mrr_at_3
|
837 |
-
value:
|
838 |
- type: mrr_at_5
|
839 |
-
value:
|
840 |
- type: ndcg_at_1
|
841 |
-
value:
|
842 |
- type: ndcg_at_10
|
843 |
-
value:
|
844 |
- type: ndcg_at_100
|
845 |
-
value:
|
846 |
- type: ndcg_at_1000
|
847 |
-
value:
|
848 |
- type: ndcg_at_20
|
849 |
-
value:
|
850 |
- type: ndcg_at_3
|
851 |
-
value:
|
852 |
- type: ndcg_at_5
|
853 |
-
value:
|
854 |
- type: precision_at_1
|
855 |
-
value:
|
856 |
- type: precision_at_10
|
857 |
-
value:
|
858 |
- type: precision_at_100
|
859 |
-
value: 1.
|
860 |
- type: precision_at_1000
|
861 |
-
value: 0.
|
862 |
- type: precision_at_20
|
863 |
-
value:
|
864 |
- type: precision_at_3
|
865 |
-
value:
|
866 |
- type: precision_at_5
|
867 |
-
value:
|
868 |
- type: recall_at_1
|
869 |
-
value:
|
870 |
- type: recall_at_10
|
871 |
-
value:
|
872 |
- type: recall_at_100
|
873 |
-
value:
|
874 |
- type: recall_at_1000
|
875 |
-
value:
|
876 |
- type: recall_at_20
|
877 |
-
value:
|
878 |
- type: recall_at_3
|
879 |
-
value:
|
880 |
- type: recall_at_5
|
881 |
-
value:
|
882 |
- task:
|
883 |
type: retrieval
|
884 |
dataset:
|
@@ -889,75 +889,75 @@ model-index:
|
|
889 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
890 |
metrics:
|
891 |
- type: map_at_1
|
892 |
-
value:
|
893 |
- type: map_at_10
|
894 |
-
value:
|
895 |
- type: map_at_100
|
896 |
-
value:
|
897 |
- type: map_at_1000
|
898 |
-
value:
|
899 |
- type: map_at_20
|
900 |
-
value:
|
901 |
- type: map_at_3
|
902 |
-
value:
|
903 |
- type: map_at_5
|
904 |
-
value:
|
905 |
- type: mrr_at_1
|
906 |
-
value:
|
907 |
- type: mrr_at_10
|
908 |
-
value:
|
909 |
- type: mrr_at_100
|
910 |
-
value:
|
911 |
- type: mrr_at_1000
|
912 |
-
value:
|
913 |
- type: mrr_at_20
|
914 |
-
value:
|
915 |
- type: mrr_at_3
|
916 |
-
value:
|
917 |
- type: mrr_at_5
|
918 |
-
value:
|
919 |
- type: ndcg_at_1
|
920 |
-
value:
|
921 |
- type: ndcg_at_10
|
922 |
-
value:
|
923 |
- type: ndcg_at_100
|
924 |
-
value:
|
925 |
- type: ndcg_at_1000
|
926 |
-
value:
|
927 |
- type: ndcg_at_20
|
928 |
-
value:
|
929 |
- type: ndcg_at_3
|
930 |
-
value:
|
931 |
- type: ndcg_at_5
|
932 |
-
value:
|
933 |
- type: precision_at_1
|
934 |
-
value:
|
935 |
- type: precision_at_10
|
936 |
-
value:
|
937 |
- type: precision_at_100
|
938 |
-
value: 1.
|
939 |
- type: precision_at_1000
|
940 |
-
value: 0.
|
941 |
- type: precision_at_20
|
942 |
-
value:
|
943 |
- type: precision_at_3
|
944 |
-
value:
|
945 |
- type: precision_at_5
|
946 |
-
value:
|
947 |
- type: recall_at_1
|
948 |
-
value:
|
949 |
- type: recall_at_10
|
950 |
-
value:
|
951 |
- type: recall_at_100
|
952 |
-
value:
|
953 |
- type: recall_at_1000
|
954 |
-
value:
|
955 |
- type: recall_at_20
|
956 |
-
value:
|
957 |
- type: recall_at_3
|
958 |
-
value:
|
959 |
- type: recall_at_5
|
960 |
-
value:
|
961 |
- task:
|
962 |
type: retrieval
|
963 |
dataset:
|
@@ -968,75 +968,75 @@ model-index:
|
|
968 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
969 |
metrics:
|
970 |
- type: map_at_1
|
971 |
-
value:
|
972 |
- type: map_at_10
|
973 |
-
value:
|
974 |
- type: map_at_100
|
975 |
-
value:
|
976 |
- type: map_at_1000
|
977 |
-
value:
|
978 |
- type: map_at_20
|
979 |
-
value:
|
980 |
- type: map_at_3
|
981 |
-
value:
|
982 |
- type: map_at_5
|
983 |
-
value:
|
984 |
- type: mrr_at_1
|
985 |
-
value:
|
986 |
- type: mrr_at_10
|
987 |
-
value:
|
988 |
- type: mrr_at_100
|
989 |
-
value:
|
990 |
- type: mrr_at_1000
|
991 |
-
value:
|
992 |
- type: mrr_at_20
|
993 |
-
value:
|
994 |
- type: mrr_at_3
|
995 |
-
value:
|
996 |
- type: mrr_at_5
|
997 |
-
value:
|
998 |
- type: ndcg_at_1
|
999 |
-
value:
|
1000 |
- type: ndcg_at_10
|
1001 |
-
value:
|
1002 |
- type: ndcg_at_100
|
1003 |
-
value:
|
1004 |
- type: ndcg_at_1000
|
1005 |
-
value:
|
1006 |
- type: ndcg_at_20
|
1007 |
-
value:
|
1008 |
- type: ndcg_at_3
|
1009 |
-
value:
|
1010 |
- type: ndcg_at_5
|
1011 |
-
value:
|
1012 |
- type: precision_at_1
|
1013 |
-
value:
|
1014 |
- type: precision_at_10
|
1015 |
-
value:
|
1016 |
- type: precision_at_100
|
1017 |
-
value:
|
1018 |
- type: precision_at_1000
|
1019 |
-
value: 0.
|
1020 |
- type: precision_at_20
|
1021 |
-
value:
|
1022 |
- type: precision_at_3
|
1023 |
-
value:
|
1024 |
- type: precision_at_5
|
1025 |
-
value:
|
1026 |
- type: recall_at_1
|
1027 |
-
value:
|
1028 |
- type: recall_at_10
|
1029 |
-
value:
|
1030 |
- type: recall_at_100
|
1031 |
-
value:
|
1032 |
- type: recall_at_1000
|
1033 |
-
value:
|
1034 |
- type: recall_at_20
|
1035 |
-
value:
|
1036 |
- type: recall_at_3
|
1037 |
-
value:
|
1038 |
- type: recall_at_5
|
1039 |
-
value:
|
1040 |
- task:
|
1041 |
type: retrieval
|
1042 |
dataset:
|
@@ -1047,75 +1047,75 @@ model-index:
|
|
1047 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
1048 |
metrics:
|
1049 |
- type: map_at_1
|
1050 |
-
value:
|
1051 |
- type: map_at_10
|
1052 |
-
value:
|
1053 |
- type: map_at_100
|
1054 |
-
value:
|
1055 |
- type: map_at_1000
|
1056 |
-
value:
|
1057 |
- type: map_at_20
|
1058 |
-
value:
|
1059 |
- type: map_at_3
|
1060 |
-
value:
|
1061 |
- type: map_at_5
|
1062 |
-
value:
|
1063 |
- type: mrr_at_1
|
1064 |
-
value:
|
1065 |
- type: mrr_at_10
|
1066 |
-
value:
|
1067 |
- type: mrr_at_100
|
1068 |
-
value:
|
1069 |
- type: mrr_at_1000
|
1070 |
-
value:
|
1071 |
- type: mrr_at_20
|
1072 |
-
value:
|
1073 |
- type: mrr_at_3
|
1074 |
-
value:
|
1075 |
- type: mrr_at_5
|
1076 |
-
value:
|
1077 |
- type: ndcg_at_1
|
1078 |
-
value:
|
1079 |
- type: ndcg_at_10
|
1080 |
-
value:
|
1081 |
- type: ndcg_at_100
|
1082 |
-
value:
|
1083 |
- type: ndcg_at_1000
|
1084 |
-
value:
|
1085 |
- type: ndcg_at_20
|
1086 |
-
value:
|
1087 |
- type: ndcg_at_3
|
1088 |
-
value:
|
1089 |
- type: ndcg_at_5
|
1090 |
-
value:
|
1091 |
- type: precision_at_1
|
1092 |
-
value:
|
1093 |
- type: precision_at_10
|
1094 |
-
value:
|
1095 |
- type: precision_at_100
|
1096 |
-
value: 0.
|
1097 |
- type: precision_at_1000
|
1098 |
-
value: 0.
|
1099 |
- type: precision_at_20
|
1100 |
-
value:
|
1101 |
- type: precision_at_3
|
1102 |
-
value:
|
1103 |
- type: precision_at_5
|
1104 |
-
value:
|
1105 |
- type: recall_at_1
|
1106 |
-
value:
|
1107 |
- type: recall_at_10
|
1108 |
-
value:
|
1109 |
- type: recall_at_100
|
1110 |
-
value:
|
1111 |
- type: recall_at_1000
|
1112 |
-
value:
|
1113 |
- type: recall_at_20
|
1114 |
-
value:
|
1115 |
- type: recall_at_3
|
1116 |
-
value:
|
1117 |
- type: recall_at_5
|
1118 |
-
value:
|
1119 |
- task:
|
1120 |
type: retrieval
|
1121 |
dataset:
|
@@ -1126,75 +1126,75 @@ model-index:
|
|
1126 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1127 |
metrics:
|
1128 |
- type: map_at_1
|
1129 |
-
value:
|
1130 |
- type: map_at_10
|
1131 |
-
value:
|
1132 |
- type: map_at_100
|
1133 |
-
value:
|
1134 |
- type: map_at_1000
|
1135 |
-
value:
|
1136 |
- type: map_at_20
|
1137 |
-
value:
|
1138 |
- type: map_at_3
|
1139 |
-
value:
|
1140 |
- type: map_at_5
|
1141 |
-
value:
|
1142 |
- type: mrr_at_1
|
1143 |
-
value:
|
1144 |
- type: mrr_at_10
|
1145 |
-
value:
|
1146 |
- type: mrr_at_100
|
1147 |
-
value:
|
1148 |
- type: mrr_at_1000
|
1149 |
-
value:
|
1150 |
- type: mrr_at_20
|
1151 |
-
value:
|
1152 |
- type: mrr_at_3
|
1153 |
-
value:
|
1154 |
- type: mrr_at_5
|
1155 |
-
value:
|
1156 |
- type: ndcg_at_1
|
1157 |
-
value:
|
1158 |
- type: ndcg_at_10
|
1159 |
-
value:
|
1160 |
- type: ndcg_at_100
|
1161 |
-
value:
|
1162 |
- type: ndcg_at_1000
|
1163 |
-
value:
|
1164 |
- type: ndcg_at_20
|
1165 |
-
value:
|
1166 |
- type: ndcg_at_3
|
1167 |
-
value:
|
1168 |
- type: ndcg_at_5
|
1169 |
-
value:
|
1170 |
- type: precision_at_1
|
1171 |
-
value:
|
1172 |
- type: precision_at_10
|
1173 |
-
value:
|
1174 |
- type: precision_at_100
|
1175 |
-
value: 1.
|
1176 |
- type: precision_at_1000
|
1177 |
-
value: 0.
|
1178 |
- type: precision_at_20
|
1179 |
-
value:
|
1180 |
- type: precision_at_3
|
1181 |
-
value:
|
1182 |
- type: precision_at_5
|
1183 |
-
value:
|
1184 |
- type: recall_at_1
|
1185 |
-
value:
|
1186 |
- type: recall_at_10
|
1187 |
-
value:
|
1188 |
- type: recall_at_100
|
1189 |
-
value:
|
1190 |
- type: recall_at_1000
|
1191 |
-
value:
|
1192 |
- type: recall_at_20
|
1193 |
-
value:
|
1194 |
- type: recall_at_3
|
1195 |
-
value:
|
1196 |
- type: recall_at_5
|
1197 |
-
value:
|
1198 |
- task:
|
1199 |
type: retrieval
|
1200 |
dataset:
|
@@ -1205,75 +1205,75 @@ model-index:
|
|
1205 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
1206 |
metrics:
|
1207 |
- type: map_at_1
|
1208 |
-
value:
|
1209 |
- type: map_at_10
|
1210 |
-
value:
|
1211 |
- type: map_at_100
|
1212 |
-
value:
|
1213 |
- type: map_at_1000
|
1214 |
-
value:
|
1215 |
- type: map_at_20
|
1216 |
-
value:
|
1217 |
- type: map_at_3
|
1218 |
-
value:
|
1219 |
- type: map_at_5
|
1220 |
-
value:
|
1221 |
- type: mrr_at_1
|
1222 |
-
value:
|
1223 |
- type: mrr_at_10
|
1224 |
-
value:
|
1225 |
- type: mrr_at_100
|
1226 |
-
value:
|
1227 |
- type: mrr_at_1000
|
1228 |
-
value:
|
1229 |
- type: mrr_at_20
|
1230 |
-
value:
|
1231 |
- type: mrr_at_3
|
1232 |
-
value:
|
1233 |
- type: mrr_at_5
|
1234 |
-
value:
|
1235 |
- type: ndcg_at_1
|
1236 |
-
value:
|
1237 |
- type: ndcg_at_10
|
1238 |
-
value:
|
1239 |
- type: ndcg_at_100
|
1240 |
-
value:
|
1241 |
- type: ndcg_at_1000
|
1242 |
-
value:
|
1243 |
- type: ndcg_at_20
|
1244 |
-
value:
|
1245 |
- type: ndcg_at_3
|
1246 |
-
value:
|
1247 |
- type: ndcg_at_5
|
1248 |
-
value:
|
1249 |
- type: precision_at_1
|
1250 |
-
value:
|
1251 |
- type: precision_at_10
|
1252 |
-
value:
|
1253 |
- type: precision_at_100
|
1254 |
-
value: 0.
|
1255 |
- type: precision_at_1000
|
1256 |
-
value: 0.
|
1257 |
- type: precision_at_20
|
1258 |
-
value:
|
1259 |
- type: precision_at_3
|
1260 |
-
value: 5
|
1261 |
- type: precision_at_5
|
1262 |
-
value:
|
1263 |
- type: recall_at_1
|
1264 |
-
value:
|
1265 |
- type: recall_at_10
|
1266 |
-
value:
|
1267 |
- type: recall_at_100
|
1268 |
-
value:
|
1269 |
- type: recall_at_1000
|
1270 |
-
value:
|
1271 |
- type: recall_at_20
|
1272 |
-
value:
|
1273 |
- type: recall_at_3
|
1274 |
-
value:
|
1275 |
- type: recall_at_5
|
1276 |
-
value:
|
1277 |
- task:
|
1278 |
type: retrieval
|
1279 |
dataset:
|
@@ -1284,75 +1284,75 @@ model-index:
|
|
1284 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1285 |
metrics:
|
1286 |
- type: map_at_1
|
1287 |
-
value:
|
1288 |
- type: map_at_10
|
1289 |
-
value:
|
1290 |
- type: map_at_100
|
1291 |
-
value:
|
1292 |
- type: map_at_1000
|
1293 |
-
value:
|
1294 |
- type: map_at_20
|
1295 |
-
value:
|
1296 |
- type: map_at_3
|
1297 |
-
value:
|
1298 |
- type: map_at_5
|
1299 |
-
value:
|
1300 |
- type: mrr_at_1
|
1301 |
-
value:
|
1302 |
- type: mrr_at_10
|
1303 |
-
value:
|
1304 |
- type: mrr_at_100
|
1305 |
-
value:
|
1306 |
- type: mrr_at_1000
|
1307 |
-
value:
|
1308 |
- type: mrr_at_20
|
1309 |
-
value:
|
1310 |
- type: mrr_at_3
|
1311 |
-
value:
|
1312 |
- type: mrr_at_5
|
1313 |
-
value:
|
1314 |
- type: ndcg_at_1
|
1315 |
-
value:
|
1316 |
- type: ndcg_at_10
|
1317 |
-
value:
|
1318 |
- type: ndcg_at_100
|
1319 |
-
value:
|
1320 |
- type: ndcg_at_1000
|
1321 |
-
value:
|
1322 |
- type: ndcg_at_20
|
1323 |
-
value:
|
1324 |
- type: ndcg_at_3
|
1325 |
-
value:
|
1326 |
- type: ndcg_at_5
|
1327 |
-
value:
|
1328 |
- type: precision_at_1
|
1329 |
-
value:
|
1330 |
- type: precision_at_10
|
1331 |
-
value: 10.
|
1332 |
- type: precision_at_100
|
1333 |
-
value: 1.
|
1334 |
- type: precision_at_1000
|
1335 |
-
value: 0.
|
1336 |
- type: precision_at_20
|
1337 |
-
value: 6.
|
1338 |
- type: precision_at_3
|
1339 |
-
value:
|
1340 |
- type: precision_at_5
|
1341 |
-
value:
|
1342 |
- type: recall_at_1
|
1343 |
-
value:
|
1344 |
- type: recall_at_10
|
1345 |
-
value:
|
1346 |
- type: recall_at_100
|
1347 |
-
value:
|
1348 |
- type: recall_at_1000
|
1349 |
-
value:
|
1350 |
- type: recall_at_20
|
1351 |
-
value:
|
1352 |
- type: recall_at_3
|
1353 |
-
value:
|
1354 |
- type: recall_at_5
|
1355 |
-
value:
|
1356 |
- task:
|
1357 |
type: retrieval
|
1358 |
dataset:
|
@@ -1363,75 +1363,75 @@ model-index:
|
|
1363 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
1364 |
metrics:
|
1365 |
- type: map_at_1
|
1366 |
-
value:
|
1367 |
- type: map_at_10
|
1368 |
-
value:
|
1369 |
- type: map_at_100
|
1370 |
-
value:
|
1371 |
- type: map_at_1000
|
1372 |
-
value:
|
1373 |
- type: map_at_20
|
1374 |
-
value:
|
1375 |
- type: map_at_3
|
1376 |
-
value:
|
1377 |
- type: map_at_5
|
1378 |
-
value:
|
1379 |
- type: mrr_at_1
|
1380 |
-
value:
|
1381 |
- type: mrr_at_10
|
1382 |
-
value:
|
1383 |
- type: mrr_at_100
|
1384 |
-
value:
|
1385 |
- type: mrr_at_1000
|
1386 |
-
value:
|
1387 |
- type: mrr_at_20
|
1388 |
-
value:
|
1389 |
- type: mrr_at_3
|
1390 |
-
value:
|
1391 |
- type: mrr_at_5
|
1392 |
-
value:
|
1393 |
- type: ndcg_at_1
|
1394 |
-
value:
|
1395 |
- type: ndcg_at_10
|
1396 |
-
value:
|
1397 |
- type: ndcg_at_100
|
1398 |
-
value:
|
1399 |
- type: ndcg_at_1000
|
1400 |
-
value:
|
1401 |
- type: ndcg_at_20
|
1402 |
-
value:
|
1403 |
- type: ndcg_at_3
|
1404 |
-
value:
|
1405 |
- type: ndcg_at_5
|
1406 |
-
value:
|
1407 |
- type: precision_at_1
|
1408 |
-
value:
|
1409 |
- type: precision_at_10
|
1410 |
-
value:
|
1411 |
- type: precision_at_100
|
1412 |
-
value: 0.
|
1413 |
- type: precision_at_1000
|
1414 |
-
value: 0.
|
1415 |
- type: precision_at_20
|
1416 |
-
value: 2.
|
1417 |
- type: precision_at_3
|
1418 |
-
value:
|
1419 |
- type: precision_at_5
|
1420 |
-
value:
|
1421 |
- type: recall_at_1
|
1422 |
-
value:
|
1423 |
- type: recall_at_10
|
1424 |
-
value:
|
1425 |
- type: recall_at_100
|
1426 |
-
value:
|
1427 |
- type: recall_at_1000
|
1428 |
-
value:
|
1429 |
- type: recall_at_20
|
1430 |
-
value:
|
1431 |
- type: recall_at_3
|
1432 |
-
value:
|
1433 |
- type: recall_at_5
|
1434 |
-
value:
|
1435 |
- task:
|
1436 |
type: retrieval
|
1437 |
dataset:
|
@@ -1442,75 +1442,75 @@ model-index:
|
|
1442 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1443 |
metrics:
|
1444 |
- type: map_at_1
|
1445 |
-
value:
|
1446 |
- type: map_at_10
|
1447 |
-
value:
|
1448 |
- type: map_at_100
|
1449 |
-
value:
|
1450 |
- type: map_at_1000
|
1451 |
-
value:
|
1452 |
- type: map_at_20
|
1453 |
-
value:
|
1454 |
- type: map_at_3
|
1455 |
-
value:
|
1456 |
- type: map_at_5
|
1457 |
-
value:
|
1458 |
- type: mrr_at_1
|
1459 |
-
value:
|
1460 |
- type: mrr_at_10
|
1461 |
-
value:
|
1462 |
- type: mrr_at_100
|
1463 |
-
value:
|
1464 |
- type: mrr_at_1000
|
1465 |
-
value:
|
1466 |
- type: mrr_at_20
|
1467 |
-
value:
|
1468 |
- type: mrr_at_3
|
1469 |
-
value:
|
1470 |
- type: mrr_at_5
|
1471 |
-
value:
|
1472 |
- type: ndcg_at_1
|
1473 |
-
value:
|
1474 |
- type: ndcg_at_10
|
1475 |
-
value:
|
1476 |
- type: ndcg_at_100
|
1477 |
-
value:
|
1478 |
- type: ndcg_at_1000
|
1479 |
-
value:
|
1480 |
- type: ndcg_at_20
|
1481 |
-
value:
|
1482 |
- type: ndcg_at_3
|
1483 |
-
value:
|
1484 |
- type: ndcg_at_5
|
1485 |
-
value:
|
1486 |
- type: precision_at_1
|
1487 |
-
value:
|
1488 |
- type: precision_at_10
|
1489 |
-
value:
|
1490 |
- type: precision_at_100
|
1491 |
-
value: 2.
|
1492 |
- type: precision_at_1000
|
1493 |
-
value: 0.
|
1494 |
- type: precision_at_20
|
1495 |
-
value:
|
1496 |
- type: precision_at_3
|
1497 |
-
value:
|
1498 |
- type: precision_at_5
|
1499 |
-
value:
|
1500 |
- type: recall_at_1
|
1501 |
-
value:
|
1502 |
- type: recall_at_10
|
1503 |
-
value:
|
1504 |
- type: recall_at_100
|
1505 |
-
value:
|
1506 |
- type: recall_at_1000
|
1507 |
-
value:
|
1508 |
- type: recall_at_20
|
1509 |
-
value:
|
1510 |
- type: recall_at_3
|
1511 |
-
value:
|
1512 |
- type: recall_at_5
|
1513 |
-
value:
|
1514 |
- task:
|
1515 |
type: retrieval
|
1516 |
dataset:
|
@@ -1521,75 +1521,75 @@ model-index:
|
|
1521 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
1522 |
metrics:
|
1523 |
- type: map_at_1
|
1524 |
-
value:
|
1525 |
- type: map_at_10
|
1526 |
-
value:
|
1527 |
- type: map_at_100
|
1528 |
-
value:
|
1529 |
- type: map_at_1000
|
1530 |
-
value:
|
1531 |
- type: map_at_20
|
1532 |
-
value:
|
1533 |
- type: map_at_3
|
1534 |
-
value:
|
1535 |
- type: map_at_5
|
1536 |
-
value:
|
1537 |
- type: mrr_at_1
|
1538 |
-
value:
|
1539 |
- type: mrr_at_10
|
1540 |
-
value:
|
1541 |
- type: mrr_at_100
|
1542 |
-
value:
|
1543 |
- type: mrr_at_1000
|
1544 |
-
value:
|
1545 |
- type: mrr_at_20
|
1546 |
-
value:
|
1547 |
- type: mrr_at_3
|
1548 |
-
value:
|
1549 |
- type: mrr_at_5
|
1550 |
-
value:
|
1551 |
- type: ndcg_at_1
|
1552 |
-
value:
|
1553 |
- type: ndcg_at_10
|
1554 |
-
value:
|
1555 |
- type: ndcg_at_100
|
1556 |
-
value:
|
1557 |
- type: ndcg_at_1000
|
1558 |
-
value:
|
1559 |
- type: ndcg_at_20
|
1560 |
-
value:
|
1561 |
- type: ndcg_at_3
|
1562 |
-
value:
|
1563 |
- type: ndcg_at_5
|
1564 |
-
value:
|
1565 |
- type: precision_at_1
|
1566 |
-
value:
|
1567 |
- type: precision_at_10
|
1568 |
-
value:
|
1569 |
- type: precision_at_100
|
1570 |
-
value: 0.
|
1571 |
- type: precision_at_1000
|
1572 |
-
value: 0.
|
1573 |
- type: precision_at_20
|
1574 |
-
value: 2.
|
1575 |
- type: precision_at_3
|
1576 |
-
value:
|
1577 |
- type: precision_at_5
|
1578 |
-
value:
|
1579 |
- type: recall_at_1
|
1580 |
-
value:
|
1581 |
- type: recall_at_10
|
1582 |
-
value:
|
1583 |
- type: recall_at_100
|
1584 |
-
value:
|
1585 |
- type: recall_at_1000
|
1586 |
-
value:
|
1587 |
- type: recall_at_20
|
1588 |
-
value:
|
1589 |
- type: recall_at_3
|
1590 |
-
value:
|
1591 |
- type: recall_at_5
|
1592 |
-
value:
|
1593 |
- task:
|
1594 |
type: retrieval
|
1595 |
dataset:
|
@@ -1600,75 +1600,75 @@ model-index:
|
|
1600 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1601 |
metrics:
|
1602 |
- type: map_at_1
|
1603 |
-
value:
|
1604 |
- type: map_at_10
|
1605 |
-
value:
|
1606 |
- type: map_at_100
|
1607 |
-
value:
|
1608 |
- type: map_at_1000
|
1609 |
-
value:
|
1610 |
- type: map_at_20
|
1611 |
-
value:
|
1612 |
- type: map_at_3
|
1613 |
-
value:
|
1614 |
- type: map_at_5
|
1615 |
-
value:
|
1616 |
- type: mrr_at_1
|
1617 |
-
value:
|
1618 |
- type: mrr_at_10
|
1619 |
-
value:
|
1620 |
- type: mrr_at_100
|
1621 |
-
value:
|
1622 |
- type: mrr_at_1000
|
1623 |
-
value:
|
1624 |
- type: mrr_at_20
|
1625 |
-
value:
|
1626 |
- type: mrr_at_3
|
1627 |
-
value:
|
1628 |
- type: mrr_at_5
|
1629 |
-
value:
|
1630 |
- type: ndcg_at_1
|
1631 |
-
value:
|
1632 |
- type: ndcg_at_10
|
1633 |
-
value:
|
1634 |
- type: ndcg_at_100
|
1635 |
-
value:
|
1636 |
- type: ndcg_at_1000
|
1637 |
-
value:
|
1638 |
- type: ndcg_at_20
|
1639 |
-
value:
|
1640 |
- type: ndcg_at_3
|
1641 |
-
value:
|
1642 |
- type: ndcg_at_5
|
1643 |
-
value:
|
1644 |
- type: precision_at_1
|
1645 |
-
value:
|
1646 |
- type: precision_at_10
|
1647 |
-
value:
|
1648 |
- type: precision_at_100
|
1649 |
-
value:
|
1650 |
- type: precision_at_1000
|
1651 |
-
value: 0.
|
1652 |
- type: precision_at_20
|
1653 |
-
value:
|
1654 |
- type: precision_at_3
|
1655 |
-
value:
|
1656 |
- type: precision_at_5
|
1657 |
-
value:
|
1658 |
- type: recall_at_1
|
1659 |
-
value:
|
1660 |
- type: recall_at_10
|
1661 |
-
value:
|
1662 |
- type: recall_at_100
|
1663 |
-
value:
|
1664 |
- type: recall_at_1000
|
1665 |
-
value:
|
1666 |
- type: recall_at_20
|
1667 |
-
value:
|
1668 |
- type: recall_at_3
|
1669 |
-
value:
|
1670 |
- type: recall_at_5
|
1671 |
-
value:
|
1672 |
- task:
|
1673 |
type: retrieval
|
1674 |
dataset:
|
@@ -1679,75 +1679,75 @@ model-index:
|
|
1679 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1680 |
metrics:
|
1681 |
- type: map_at_1
|
1682 |
-
value:
|
1683 |
- type: map_at_10
|
1684 |
-
value:
|
1685 |
- type: map_at_100
|
1686 |
-
value:
|
1687 |
- type: map_at_1000
|
1688 |
-
value:
|
1689 |
- type: map_at_20
|
1690 |
-
value:
|
1691 |
- type: map_at_3
|
1692 |
-
value:
|
1693 |
- type: map_at_5
|
1694 |
-
value:
|
1695 |
- type: mrr_at_1
|
1696 |
-
value:
|
1697 |
- type: mrr_at_10
|
1698 |
-
value:
|
1699 |
- type: mrr_at_100
|
1700 |
-
value:
|
1701 |
- type: mrr_at_1000
|
1702 |
-
value:
|
1703 |
- type: mrr_at_20
|
1704 |
-
value:
|
1705 |
- type: mrr_at_3
|
1706 |
-
value:
|
1707 |
- type: mrr_at_5
|
1708 |
-
value:
|
1709 |
- type: ndcg_at_1
|
1710 |
-
value:
|
1711 |
- type: ndcg_at_10
|
1712 |
-
value:
|
1713 |
- type: ndcg_at_100
|
1714 |
-
value:
|
1715 |
- type: ndcg_at_1000
|
1716 |
-
value:
|
1717 |
- type: ndcg_at_20
|
1718 |
-
value:
|
1719 |
- type: ndcg_at_3
|
1720 |
-
value:
|
1721 |
- type: ndcg_at_5
|
1722 |
-
value:
|
1723 |
- type: precision_at_1
|
1724 |
-
value:
|
1725 |
- type: precision_at_10
|
1726 |
-
value:
|
1727 |
- type: precision_at_100
|
1728 |
-
value:
|
1729 |
- type: precision_at_1000
|
1730 |
-
value: 0.
|
1731 |
- type: precision_at_20
|
1732 |
-
value:
|
1733 |
- type: precision_at_3
|
1734 |
-
value:
|
1735 |
- type: precision_at_5
|
1736 |
-
value:
|
1737 |
- type: recall_at_1
|
1738 |
-
value:
|
1739 |
- type: recall_at_10
|
1740 |
-
value:
|
1741 |
- type: recall_at_100
|
1742 |
-
value:
|
1743 |
- type: recall_at_1000
|
1744 |
-
value:
|
1745 |
- type: recall_at_20
|
1746 |
-
value:
|
1747 |
- type: recall_at_3
|
1748 |
-
value:
|
1749 |
- type: recall_at_5
|
1750 |
-
value:
|
1751 |
- task:
|
1752 |
type: retrieval
|
1753 |
dataset:
|
@@ -1758,75 +1758,75 @@ model-index:
|
|
1758 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
1759 |
metrics:
|
1760 |
- type: map_at_1
|
1761 |
-
value:
|
1762 |
- type: map_at_10
|
1763 |
-
value:
|
1764 |
- type: map_at_100
|
1765 |
-
value:
|
1766 |
- type: map_at_1000
|
1767 |
-
value:
|
1768 |
- type: map_at_20
|
1769 |
-
value:
|
1770 |
- type: map_at_3
|
1771 |
-
value:
|
1772 |
- type: map_at_5
|
1773 |
-
value:
|
1774 |
- type: mrr_at_1
|
1775 |
-
value:
|
1776 |
- type: mrr_at_10
|
1777 |
-
value:
|
1778 |
- type: mrr_at_100
|
1779 |
-
value:
|
1780 |
- type: mrr_at_1000
|
1781 |
-
value:
|
1782 |
- type: mrr_at_20
|
1783 |
-
value:
|
1784 |
- type: mrr_at_3
|
1785 |
-
value:
|
1786 |
- type: mrr_at_5
|
1787 |
-
value:
|
1788 |
- type: ndcg_at_1
|
1789 |
-
value:
|
1790 |
- type: ndcg_at_10
|
1791 |
-
value:
|
1792 |
- type: ndcg_at_100
|
1793 |
-
value:
|
1794 |
- type: ndcg_at_1000
|
1795 |
-
value:
|
1796 |
- type: ndcg_at_20
|
1797 |
-
value:
|
1798 |
- type: ndcg_at_3
|
1799 |
-
value:
|
1800 |
- type: ndcg_at_5
|
1801 |
-
value:
|
1802 |
- type: precision_at_1
|
1803 |
-
value:
|
1804 |
- type: precision_at_10
|
1805 |
-
value:
|
1806 |
- type: precision_at_100
|
1807 |
-
value: 0.
|
1808 |
- type: precision_at_1000
|
1809 |
-
value: 0.
|
1810 |
- type: precision_at_20
|
1811 |
-
value:
|
1812 |
- type: precision_at_3
|
1813 |
-
value:
|
1814 |
- type: precision_at_5
|
1815 |
-
value:
|
1816 |
- type: recall_at_1
|
1817 |
-
value:
|
1818 |
- type: recall_at_10
|
1819 |
-
value:
|
1820 |
- type: recall_at_100
|
1821 |
-
value:
|
1822 |
- type: recall_at_1000
|
1823 |
-
value:
|
1824 |
- type: recall_at_20
|
1825 |
-
value:
|
1826 |
- type: recall_at_3
|
1827 |
-
value:
|
1828 |
- type: recall_at_5
|
1829 |
-
value:
|
1830 |
- task:
|
1831 |
type: retrieval
|
1832 |
dataset:
|
@@ -1837,75 +1837,75 @@ model-index:
|
|
1837 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1838 |
metrics:
|
1839 |
- type: map_at_1
|
1840 |
-
value:
|
1841 |
- type: map_at_10
|
1842 |
-
value:
|
1843 |
- type: map_at_100
|
1844 |
-
value:
|
1845 |
- type: map_at_1000
|
1846 |
-
value:
|
1847 |
- type: map_at_20
|
1848 |
-
value:
|
1849 |
- type: map_at_3
|
1850 |
-
value:
|
1851 |
- type: map_at_5
|
1852 |
-
value:
|
1853 |
- type: mrr_at_1
|
1854 |
-
value:
|
1855 |
- type: mrr_at_10
|
1856 |
-
value:
|
1857 |
- type: mrr_at_100
|
1858 |
-
value:
|
1859 |
- type: mrr_at_1000
|
1860 |
-
value:
|
1861 |
- type: mrr_at_20
|
1862 |
-
value:
|
1863 |
- type: mrr_at_3
|
1864 |
-
value:
|
1865 |
- type: mrr_at_5
|
1866 |
-
value:
|
1867 |
- type: ndcg_at_1
|
1868 |
-
value:
|
1869 |
- type: ndcg_at_10
|
1870 |
-
value:
|
1871 |
- type: ndcg_at_100
|
1872 |
-
value:
|
1873 |
- type: ndcg_at_1000
|
1874 |
-
value:
|
1875 |
- type: ndcg_at_20
|
1876 |
-
value:
|
1877 |
- type: ndcg_at_3
|
1878 |
-
value:
|
1879 |
- type: ndcg_at_5
|
1880 |
-
value:
|
1881 |
- type: precision_at_1
|
1882 |
-
value:
|
1883 |
- type: precision_at_10
|
1884 |
-
value:
|
1885 |
- type: precision_at_100
|
1886 |
-
value: 0.
|
1887 |
- type: precision_at_1000
|
1888 |
-
value: 0.
|
1889 |
- type: precision_at_20
|
1890 |
-
value:
|
1891 |
- type: precision_at_3
|
1892 |
-
value:
|
1893 |
- type: precision_at_5
|
1894 |
-
value:
|
1895 |
- type: recall_at_1
|
1896 |
-
value:
|
1897 |
- type: recall_at_10
|
1898 |
-
value:
|
1899 |
- type: recall_at_100
|
1900 |
-
value:
|
1901 |
- type: recall_at_1000
|
1902 |
-
value:
|
1903 |
- type: recall_at_20
|
1904 |
-
value:
|
1905 |
- type: recall_at_3
|
1906 |
-
value:
|
1907 |
- type: recall_at_5
|
1908 |
-
value:
|
1909 |
- task:
|
1910 |
type: retrieval
|
1911 |
dataset:
|
@@ -1916,75 +1916,75 @@ model-index:
|
|
1916 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
1917 |
metrics:
|
1918 |
- type: map_at_1
|
1919 |
-
value:
|
1920 |
- type: map_at_10
|
1921 |
-
value:
|
1922 |
- type: map_at_100
|
1923 |
-
value:
|
1924 |
- type: map_at_1000
|
1925 |
-
value:
|
1926 |
- type: map_at_20
|
1927 |
-
value:
|
1928 |
- type: map_at_3
|
1929 |
-
value:
|
1930 |
- type: map_at_5
|
1931 |
-
value:
|
1932 |
- type: mrr_at_1
|
1933 |
-
value:
|
1934 |
- type: mrr_at_10
|
1935 |
-
value:
|
1936 |
- type: mrr_at_100
|
1937 |
-
value:
|
1938 |
- type: mrr_at_1000
|
1939 |
-
value:
|
1940 |
- type: mrr_at_20
|
1941 |
-
value:
|
1942 |
- type: mrr_at_3
|
1943 |
-
value:
|
1944 |
- type: mrr_at_5
|
1945 |
-
value:
|
1946 |
- type: ndcg_at_1
|
1947 |
-
value:
|
1948 |
- type: ndcg_at_10
|
1949 |
-
value:
|
1950 |
- type: ndcg_at_100
|
1951 |
-
value:
|
1952 |
- type: ndcg_at_1000
|
1953 |
-
value:
|
1954 |
- type: ndcg_at_20
|
1955 |
-
value:
|
1956 |
- type: ndcg_at_3
|
1957 |
-
value:
|
1958 |
- type: ndcg_at_5
|
1959 |
-
value:
|
1960 |
- type: precision_at_1
|
1961 |
-
value:
|
1962 |
- type: precision_at_10
|
1963 |
-
value:
|
1964 |
- type: precision_at_100
|
1965 |
-
value: 0.
|
1966 |
- type: precision_at_1000
|
1967 |
-
value: 0.
|
1968 |
- type: precision_at_20
|
1969 |
-
value:
|
1970 |
- type: precision_at_3
|
1971 |
-
value:
|
1972 |
- type: precision_at_5
|
1973 |
-
value:
|
1974 |
- type: recall_at_1
|
1975 |
-
value:
|
1976 |
- type: recall_at_10
|
1977 |
-
value:
|
1978 |
- type: recall_at_100
|
1979 |
-
value:
|
1980 |
- type: recall_at_1000
|
1981 |
-
value:
|
1982 |
- type: recall_at_20
|
1983 |
-
value:
|
1984 |
- type: recall_at_3
|
1985 |
-
value:
|
1986 |
- type: recall_at_5
|
1987 |
-
value:
|
1988 |
- task:
|
1989 |
type: retrieval
|
1990 |
dataset:
|
@@ -1995,75 +1995,75 @@ model-index:
|
|
1995 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1996 |
metrics:
|
1997 |
- type: map_at_1
|
1998 |
-
value:
|
1999 |
- type: map_at_10
|
2000 |
-
value:
|
2001 |
- type: map_at_100
|
2002 |
-
value:
|
2003 |
- type: map_at_1000
|
2004 |
-
value:
|
2005 |
- type: map_at_20
|
2006 |
-
value:
|
2007 |
- type: map_at_3
|
2008 |
-
value:
|
2009 |
- type: map_at_5
|
2010 |
-
value:
|
2011 |
- type: mrr_at_1
|
2012 |
-
value:
|
2013 |
- type: mrr_at_10
|
2014 |
-
value:
|
2015 |
- type: mrr_at_100
|
2016 |
-
value:
|
2017 |
- type: mrr_at_1000
|
2018 |
-
value:
|
2019 |
- type: mrr_at_20
|
2020 |
-
value:
|
2021 |
- type: mrr_at_3
|
2022 |
-
value:
|
2023 |
- type: mrr_at_5
|
2024 |
-
value:
|
2025 |
- type: ndcg_at_1
|
2026 |
-
value:
|
2027 |
- type: ndcg_at_10
|
2028 |
-
value:
|
2029 |
- type: ndcg_at_100
|
2030 |
-
value:
|
2031 |
- type: ndcg_at_1000
|
2032 |
-
value:
|
2033 |
- type: ndcg_at_20
|
2034 |
-
value:
|
2035 |
- type: ndcg_at_3
|
2036 |
-
value:
|
2037 |
- type: ndcg_at_5
|
2038 |
-
value:
|
2039 |
- type: precision_at_1
|
2040 |
-
value:
|
2041 |
- type: precision_at_10
|
2042 |
-
value:
|
2043 |
- type: precision_at_100
|
2044 |
-
value: 1.
|
2045 |
- type: precision_at_1000
|
2046 |
value: 0.178
|
2047 |
- type: precision_at_20
|
2048 |
-
value:
|
2049 |
- type: precision_at_3
|
2050 |
-
value:
|
2051 |
- type: precision_at_5
|
2052 |
-
value:
|
2053 |
- type: recall_at_1
|
2054 |
-
value:
|
2055 |
- type: recall_at_10
|
2056 |
-
value:
|
2057 |
- type: recall_at_100
|
2058 |
-
value:
|
2059 |
- type: recall_at_1000
|
2060 |
-
value:
|
2061 |
- type: recall_at_20
|
2062 |
-
value:
|
2063 |
- type: recall_at_3
|
2064 |
-
value:
|
2065 |
- type: recall_at_5
|
2066 |
-
value:
|
2067 |
- task:
|
2068 |
type: retrieval
|
2069 |
dataset:
|
@@ -2074,75 +2074,75 @@ model-index:
|
|
2074 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
2075 |
metrics:
|
2076 |
- type: map_at_1
|
2077 |
-
value:
|
2078 |
- type: map_at_10
|
2079 |
-
value:
|
2080 |
- type: map_at_100
|
2081 |
-
value:
|
2082 |
- type: map_at_1000
|
2083 |
-
value:
|
2084 |
- type: map_at_20
|
2085 |
-
value:
|
2086 |
- type: map_at_3
|
2087 |
-
value:
|
2088 |
- type: map_at_5
|
2089 |
-
value:
|
2090 |
- type: mrr_at_1
|
2091 |
-
value:
|
2092 |
- type: mrr_at_10
|
2093 |
-
value:
|
2094 |
- type: mrr_at_100
|
2095 |
-
value:
|
2096 |
- type: mrr_at_1000
|
2097 |
-
value:
|
2098 |
- type: mrr_at_20
|
2099 |
-
value:
|
2100 |
- type: mrr_at_3
|
2101 |
-
value:
|
2102 |
- type: mrr_at_5
|
2103 |
-
value:
|
2104 |
- type: ndcg_at_1
|
2105 |
-
value:
|
2106 |
- type: ndcg_at_10
|
2107 |
-
value:
|
2108 |
- type: ndcg_at_100
|
2109 |
-
value:
|
2110 |
- type: ndcg_at_1000
|
2111 |
-
value:
|
2112 |
- type: ndcg_at_20
|
2113 |
-
value:
|
2114 |
- type: ndcg_at_3
|
2115 |
-
value:
|
2116 |
- type: ndcg_at_5
|
2117 |
-
value:
|
2118 |
- type: precision_at_1
|
2119 |
-
value:
|
2120 |
- type: precision_at_10
|
2121 |
-
value:
|
2122 |
- type: precision_at_100
|
2123 |
-
value:
|
2124 |
- type: precision_at_1000
|
2125 |
-
value: 0.
|
2126 |
- type: precision_at_20
|
2127 |
-
value:
|
2128 |
- type: precision_at_3
|
2129 |
-
value:
|
2130 |
- type: precision_at_5
|
2131 |
-
value:
|
2132 |
- type: recall_at_1
|
2133 |
-
value:
|
2134 |
- type: recall_at_10
|
2135 |
-
value:
|
2136 |
- type: recall_at_100
|
2137 |
-
value:
|
2138 |
- type: recall_at_1000
|
2139 |
-
value:
|
2140 |
- type: recall_at_20
|
2141 |
-
value:
|
2142 |
- type: recall_at_3
|
2143 |
-
value:
|
2144 |
- type: recall_at_5
|
2145 |
-
value:
|
2146 |
- task:
|
2147 |
type: retrieval
|
2148 |
dataset:
|
@@ -2153,75 +2153,75 @@ model-index:
|
|
2153 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
2154 |
metrics:
|
2155 |
- type: map_at_1
|
2156 |
-
value:
|
2157 |
- type: map_at_10
|
2158 |
-
value:
|
2159 |
- type: map_at_100
|
2160 |
-
value:
|
2161 |
- type: map_at_1000
|
2162 |
-
value:
|
2163 |
- type: map_at_20
|
2164 |
-
value:
|
2165 |
- type: map_at_3
|
2166 |
-
value:
|
2167 |
- type: map_at_5
|
2168 |
-
value:
|
2169 |
- type: mrr_at_1
|
2170 |
-
value:
|
2171 |
- type: mrr_at_10
|
2172 |
-
value:
|
2173 |
- type: mrr_at_100
|
2174 |
-
value:
|
2175 |
- type: mrr_at_1000
|
2176 |
-
value:
|
2177 |
- type: mrr_at_20
|
2178 |
-
value:
|
2179 |
- type: mrr_at_3
|
2180 |
-
value:
|
2181 |
- type: mrr_at_5
|
2182 |
-
value:
|
2183 |
- type: ndcg_at_1
|
2184 |
-
value:
|
2185 |
- type: ndcg_at_10
|
2186 |
-
value:
|
2187 |
- type: ndcg_at_100
|
2188 |
-
value:
|
2189 |
- type: ndcg_at_1000
|
2190 |
-
value:
|
2191 |
- type: ndcg_at_20
|
2192 |
-
value:
|
2193 |
- type: ndcg_at_3
|
2194 |
-
value:
|
2195 |
- type: ndcg_at_5
|
2196 |
-
value:
|
2197 |
- type: precision_at_1
|
2198 |
-
value:
|
2199 |
- type: precision_at_10
|
2200 |
-
value:
|
2201 |
- type: precision_at_100
|
2202 |
-
value: 0.
|
2203 |
- type: precision_at_1000
|
2204 |
-
value: 0.
|
2205 |
- type: precision_at_20
|
2206 |
-
value:
|
2207 |
- type: precision_at_3
|
2208 |
-
value:
|
2209 |
- type: precision_at_5
|
2210 |
-
value:
|
2211 |
- type: recall_at_1
|
2212 |
-
value:
|
2213 |
- type: recall_at_10
|
2214 |
-
value:
|
2215 |
- type: recall_at_100
|
2216 |
-
value:
|
2217 |
- type: recall_at_1000
|
2218 |
-
value:
|
2219 |
- type: recall_at_20
|
2220 |
-
value:
|
2221 |
- type: recall_at_3
|
2222 |
-
value:
|
2223 |
- type: recall_at_5
|
2224 |
-
value:
|
2225 |
- task:
|
2226 |
type: retrieval
|
2227 |
dataset:
|
@@ -2232,75 +2232,75 @@ model-index:
|
|
2232 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
2233 |
metrics:
|
2234 |
- type: map_at_1
|
2235 |
-
value:
|
2236 |
- type: map_at_10
|
2237 |
-
value:
|
2238 |
- type: map_at_100
|
2239 |
-
value:
|
2240 |
- type: map_at_1000
|
2241 |
-
value:
|
2242 |
- type: map_at_20
|
2243 |
-
value:
|
2244 |
- type: map_at_3
|
2245 |
-
value:
|
2246 |
- type: map_at_5
|
2247 |
-
value:
|
2248 |
- type: mrr_at_1
|
2249 |
-
value:
|
2250 |
- type: mrr_at_10
|
2251 |
-
value:
|
2252 |
- type: mrr_at_100
|
2253 |
-
value:
|
2254 |
- type: mrr_at_1000
|
2255 |
-
value:
|
2256 |
- type: mrr_at_20
|
2257 |
-
value:
|
2258 |
- type: mrr_at_3
|
2259 |
-
value:
|
2260 |
- type: mrr_at_5
|
2261 |
-
value:
|
2262 |
- type: ndcg_at_1
|
2263 |
-
value:
|
2264 |
- type: ndcg_at_10
|
2265 |
-
value:
|
2266 |
- type: ndcg_at_100
|
2267 |
-
value:
|
2268 |
- type: ndcg_at_1000
|
2269 |
-
value:
|
2270 |
- type: ndcg_at_20
|
2271 |
-
value:
|
2272 |
- type: ndcg_at_3
|
2273 |
-
value:
|
2274 |
- type: ndcg_at_5
|
2275 |
-
value:
|
2276 |
- type: precision_at_1
|
2277 |
-
value:
|
2278 |
- type: precision_at_10
|
2279 |
-
value:
|
2280 |
- type: precision_at_100
|
2281 |
-
value: 2.
|
2282 |
- type: precision_at_1000
|
2283 |
-
value: 0.
|
2284 |
- type: precision_at_20
|
2285 |
-
value:
|
2286 |
- type: precision_at_3
|
2287 |
-
value:
|
2288 |
- type: precision_at_5
|
2289 |
-
value:
|
2290 |
- type: recall_at_1
|
2291 |
-
value:
|
2292 |
- type: recall_at_10
|
2293 |
-
value:
|
2294 |
- type: recall_at_100
|
2295 |
-
value:
|
2296 |
- type: recall_at_1000
|
2297 |
-
value:
|
2298 |
- type: recall_at_20
|
2299 |
-
value:
|
2300 |
- type: recall_at_3
|
2301 |
-
value:
|
2302 |
- type: recall_at_5
|
2303 |
-
value:
|
2304 |
widget:
|
2305 |
- source_sentence: ما هي أفضل الفنادق في ايبوهبالقرب من Ipoh Parade Shopping Centre؟
|
2306 |
sentences:
|
@@ -2383,11 +2383,11 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps
|
|
2383 |
|
2384 |
### Model Description
|
2385 |
- **Model Type:** Sentence Transformer
|
2386 |
-
- **Base model:** [XLM-RoBERTa-base](https://huggingface.co/
|
2387 |
- **Maximum Sequence Length:** 512 tokens
|
2388 |
- **Output Dimensionality:** 768 dimensions
|
2389 |
- **Similarity Function:** Cosine Similarity
|
2390 |
-
- **Training Dataset:** [
|
2391 |
<!-- - **Language:** Unknown -->
|
2392 |
- **License:** MIT
|
2393 |
|
|
|
8 |
- dataset_size:2560000
|
9 |
- loss:MultipleNegativesRankingLoss
|
10 |
model-index:
|
11 |
+
- name: XLM-RoBERTa-base-MSMARCO-WebFAQ
|
12 |
results:
|
13 |
- task:
|
14 |
type: retrieval
|
|
|
20 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
21 |
metrics:
|
22 |
- type: map_at_1
|
23 |
+
value: 25.374000000000002
|
24 |
- type: map_at_10
|
25 |
+
value: 40.863
|
26 |
- type: map_at_100
|
27 |
+
value: 42.667
|
28 |
- type: map_at_1000
|
29 |
+
value: 42.754999999999995
|
30 |
- type: map_at_20
|
31 |
+
value: 41.948
|
32 |
- type: map_at_3
|
33 |
+
value: 35.512
|
34 |
- type: map_at_5
|
35 |
+
value: 38.385999999999996
|
36 |
- type: mrr_at_1
|
37 |
+
value: 38.6
|
38 |
- type: mrr_at_10
|
39 |
+
value: 50.489
|
40 |
- type: mrr_at_100
|
41 |
+
value: 51.229
|
42 |
- type: mrr_at_1000
|
43 |
+
value: 51.248000000000005
|
44 |
- type: mrr_at_20
|
45 |
+
value: 50.980000000000004
|
46 |
- type: mrr_at_3
|
47 |
+
value: 46.933
|
48 |
- type: mrr_at_5
|
49 |
+
value: 48.983
|
50 |
- type: ndcg_at_1
|
51 |
+
value: 38.6
|
52 |
- type: ndcg_at_10
|
53 |
+
value: 49.257
|
54 |
- type: ndcg_at_100
|
55 |
+
value: 55.611999999999995
|
56 |
- type: ndcg_at_1000
|
57 |
+
value: 56.946
|
58 |
- type: ndcg_at_20
|
59 |
+
value: 52.10399999999999
|
60 |
- type: ndcg_at_3
|
61 |
+
value: 41.501
|
62 |
- type: ndcg_at_5
|
63 |
+
value: 44.729
|
64 |
- type: precision_at_1
|
65 |
+
value: 38.6
|
66 |
- type: precision_at_10
|
67 |
+
value: 11.540000000000001
|
68 |
- type: precision_at_100
|
69 |
+
value: 1.702
|
70 |
- type: precision_at_1000
|
71 |
+
value: 0.189
|
72 |
- type: precision_at_20
|
73 |
+
value: 6.795
|
74 |
- type: precision_at_3
|
75 |
+
value: 24.3
|
76 |
- type: precision_at_5
|
77 |
+
value: 18.16
|
78 |
- type: recall_at_1
|
79 |
+
value: 25.374000000000002
|
80 |
- type: recall_at_10
|
81 |
+
value: 63.474
|
82 |
- type: recall_at_100
|
83 |
+
value: 87.902
|
84 |
- type: recall_at_1000
|
85 |
+
value: 96.301
|
86 |
- type: recall_at_20
|
87 |
+
value: 72.538
|
88 |
- type: recall_at_3
|
89 |
+
value: 43.144
|
90 |
- type: recall_at_5
|
91 |
+
value: 51.548
|
92 |
- task:
|
93 |
type: retrieval
|
94 |
dataset:
|
|
|
99 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
100 |
metrics:
|
101 |
- type: map_at_1
|
102 |
+
value: 26.056
|
103 |
- type: map_at_10
|
104 |
+
value: 37.684
|
105 |
- type: map_at_100
|
106 |
+
value: 38.616
|
107 |
- type: map_at_1000
|
108 |
+
value: 38.66
|
109 |
- type: map_at_20
|
110 |
+
value: 38.281
|
111 |
- type: map_at_3
|
112 |
+
value: 34.348
|
113 |
- type: map_at_5
|
114 |
+
value: 36.181999999999995
|
115 |
- type: mrr_at_1
|
116 |
+
value: 27.845
|
117 |
- type: mrr_at_10
|
118 |
+
value: 39.275
|
119 |
- type: mrr_at_100
|
120 |
+
value: 40.083
|
121 |
- type: mrr_at_1000
|
122 |
+
value: 40.115
|
123 |
- type: mrr_at_20
|
124 |
+
value: 39.822
|
125 |
- type: mrr_at_3
|
126 |
+
value: 36.124
|
127 |
- type: mrr_at_5
|
128 |
+
value: 37.885999999999996
|
129 |
- type: ndcg_at_1
|
130 |
+
value: 27.845
|
131 |
- type: ndcg_at_10
|
132 |
+
value: 44.153
|
133 |
- type: ndcg_at_100
|
134 |
+
value: 48.291000000000004
|
135 |
- type: ndcg_at_1000
|
136 |
+
value: 49.443
|
137 |
- type: ndcg_at_20
|
138 |
+
value: 46.188
|
139 |
- type: ndcg_at_3
|
140 |
+
value: 37.448
|
141 |
- type: ndcg_at_5
|
142 |
+
value: 40.685
|
143 |
- type: precision_at_1
|
144 |
+
value: 27.845
|
145 |
- type: precision_at_10
|
146 |
+
value: 6.938
|
147 |
- type: precision_at_100
|
148 |
+
value: 0.9209999999999999
|
149 |
- type: precision_at_1000
|
150 |
+
value: 0.10300000000000001
|
151 |
- type: precision_at_20
|
152 |
+
value: 3.936
|
153 |
- type: precision_at_3
|
154 |
+
value: 16.158
|
155 |
- type: precision_at_5
|
156 |
+
value: 11.452
|
157 |
- type: recall_at_1
|
158 |
+
value: 26.056
|
159 |
- type: recall_at_10
|
160 |
+
value: 62.627
|
161 |
- type: recall_at_100
|
162 |
+
value: 80.759
|
163 |
- type: recall_at_1000
|
164 |
+
value: 89.547
|
165 |
- type: recall_at_20
|
166 |
+
value: 70.21300000000001
|
167 |
- type: recall_at_3
|
168 |
+
value: 44.681
|
169 |
- type: recall_at_5
|
170 |
+
value: 52.344
|
171 |
- task:
|
172 |
type: retrieval
|
173 |
dataset:
|
|
|
178 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
179 |
metrics:
|
180 |
- type: map_at_1
|
181 |
+
value: 23.083000000000002
|
182 |
- type: map_at_10
|
183 |
+
value: 37.285000000000004
|
184 |
- type: map_at_100
|
185 |
+
value: 38.834
|
186 |
- type: map_at_1000
|
187 |
+
value: 38.948
|
188 |
- type: map_at_20
|
189 |
+
value: 38.195
|
190 |
- type: map_at_3
|
191 |
+
value: 31.893
|
192 |
- type: map_at_5
|
193 |
+
value: 34.755
|
194 |
- type: mrr_at_1
|
195 |
+
value: 36.496
|
196 |
- type: mrr_at_10
|
197 |
+
value: 48.486000000000004
|
198 |
- type: mrr_at_100
|
199 |
+
value: 49.248
|
200 |
- type: mrr_at_1000
|
201 |
+
value: 49.28
|
202 |
- type: mrr_at_20
|
203 |
+
value: 48.998000000000005
|
204 |
- type: mrr_at_3
|
205 |
+
value: 44.85
|
206 |
- type: mrr_at_5
|
207 |
+
value: 47.028
|
208 |
- type: ndcg_at_1
|
209 |
+
value: 36.496
|
210 |
- type: ndcg_at_10
|
211 |
+
value: 45.96
|
212 |
- type: ndcg_at_100
|
213 |
+
value: 51.64
|
214 |
- type: ndcg_at_1000
|
215 |
+
value: 53.542
|
216 |
- type: ndcg_at_20
|
217 |
+
value: 48.543
|
218 |
- type: ndcg_at_3
|
219 |
+
value: 37.964999999999996
|
220 |
- type: ndcg_at_5
|
221 |
+
value: 41.44
|
222 |
- type: precision_at_1
|
223 |
+
value: 36.496
|
224 |
- type: precision_at_10
|
225 |
+
value: 11.29
|
226 |
- type: precision_at_100
|
227 |
+
value: 1.6199999999999999
|
228 |
- type: precision_at_1000
|
229 |
+
value: 0.191
|
230 |
- type: precision_at_20
|
231 |
+
value: 6.582000000000001
|
232 |
- type: precision_at_3
|
233 |
+
value: 22.871
|
234 |
- type: precision_at_5
|
235 |
+
value: 17.324
|
236 |
- type: recall_at_1
|
237 |
+
value: 23.083000000000002
|
238 |
- type: recall_at_10
|
239 |
+
value: 59.414
|
240 |
- type: recall_at_100
|
241 |
+
value: 81.08
|
242 |
- type: recall_at_1000
|
243 |
+
value: 92.793
|
244 |
- type: recall_at_20
|
245 |
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value: 67.634
|
246 |
- type: recall_at_3
|
247 |
+
value: 39.001000000000005
|
248 |
- type: recall_at_5
|
249 |
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value: 47.612
|
250 |
- task:
|
251 |
type: retrieval
|
252 |
dataset:
|
|
|
257 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
258 |
metrics:
|
259 |
- type: map_at_1
|
260 |
+
value: 23.874000000000002
|
261 |
- type: map_at_10
|
262 |
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value: 38.235
|
263 |
- type: map_at_100
|
264 |
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value: 39.428000000000004
|
265 |
- type: map_at_1000
|
266 |
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value: 39.458
|
267 |
- type: map_at_20
|
268 |
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value: 39.119
|
269 |
- type: map_at_3
|
270 |
+
value: 34.233999999999995
|
271 |
- type: map_at_5
|
272 |
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value: 36.577
|
273 |
- type: mrr_at_1
|
274 |
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value: 28.829
|
275 |
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|
276 |
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value: 41.032999999999994
|
277 |
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|
278 |
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value: 42.077999999999996
|
279 |
- type: mrr_at_1000
|
280 |
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value: 42.104
|
281 |
- type: mrr_at_20
|
282 |
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value: 41.855
|
283 |
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|
284 |
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value: 37.688
|
285 |
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|
286 |
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value: 39.985
|
287 |
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|
288 |
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value: 28.829
|
289 |
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|
290 |
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value: 45.214999999999996
|
291 |
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|
292 |
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value: 49.986999999999995
|
293 |
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|
294 |
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value: 50.67700000000001
|
295 |
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|
296 |
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value: 48.291000000000004
|
297 |
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|
298 |
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value: 37.822
|
299 |
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|
300 |
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value: 41.9
|
301 |
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|
302 |
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value: 28.829
|
303 |
- type: precision_at_10
|
304 |
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value: 7.477
|
305 |
- type: precision_at_100
|
306 |
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value: 0.9820000000000001
|
307 |
- type: precision_at_1000
|
308 |
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value: 0.105
|
309 |
- type: precision_at_20
|
310 |
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value: 4.414
|
311 |
- type: precision_at_3
|
312 |
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value: 17.416999999999998
|
313 |
- type: precision_at_5
|
314 |
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value: 12.613
|
315 |
- type: recall_at_1
|
316 |
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value: 23.874000000000002
|
317 |
- type: recall_at_10
|
318 |
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value: 63.964
|
319 |
- type: recall_at_100
|
320 |
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value: 83.784
|
321 |
- type: recall_at_1000
|
322 |
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value: 88.739
|
323 |
- type: recall_at_20
|
324 |
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value: 75.676
|
325 |
- type: recall_at_3
|
326 |
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value: 45.045
|
327 |
- type: recall_at_5
|
328 |
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value: 54.505
|
329 |
- task:
|
330 |
type: retrieval
|
331 |
dataset:
|
|
|
336 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
337 |
metrics:
|
338 |
- type: map_at_1
|
339 |
+
value: 12.524
|
340 |
- type: map_at_10
|
341 |
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value: 25.932
|
342 |
- type: map_at_100
|
343 |
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value: 29.215999999999998
|
344 |
- type: map_at_1000
|
345 |
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value: 29.342000000000002
|
346 |
- type: map_at_20
|
347 |
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value: 27.515
|
348 |
- type: map_at_3
|
349 |
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value: 20.196
|
350 |
- type: map_at_5
|
351 |
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value: 23.311999999999998
|
352 |
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|
353 |
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value: 28.525
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354 |
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|
355 |
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value: 41.854
|
356 |
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|
357 |
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value: 42.977
|
358 |
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|
359 |
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value: 42.998
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360 |
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|
361 |
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value: 42.628
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362 |
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|
363 |
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value: 38.251000000000005
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364 |
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|
365 |
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value: 40.514
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366 |
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|
367 |
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value: 28.525
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368 |
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|
369 |
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value: 35.831
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370 |
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|
371 |
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value: 47.410000000000004
|
372 |
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|
373 |
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value: 48.931000000000004
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374 |
- type: ndcg_at_20
|
375 |
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value: 40.021
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376 |
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|
377 |
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value: 28.614
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378 |
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|
379 |
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value: 31.427
|
380 |
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|
381 |
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value: 28.525
|
382 |
- type: precision_at_10
|
383 |
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value: 11.934000000000001
|
384 |
- type: precision_at_100
|
385 |
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value: 2.37
|
386 |
- type: precision_at_1000
|
387 |
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value: 0.261
|
388 |
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|
389 |
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value: 7.704999999999999
|
390 |
- type: precision_at_3
|
391 |
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value: 21.421
|
392 |
- type: precision_at_5
|
393 |
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value: 17.574
|
394 |
- type: recall_at_1
|
395 |
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value: 12.524
|
396 |
- type: recall_at_10
|
397 |
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value: 47.558
|
398 |
- type: recall_at_100
|
399 |
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value: 90.068
|
400 |
- type: recall_at_1000
|
401 |
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value: 98.68900000000001
|
402 |
- type: recall_at_20
|
403 |
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value: 59.943999999999996
|
404 |
- type: recall_at_3
|
405 |
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value: 26.889999999999997
|
406 |
- type: recall_at_5
|
407 |
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value: 36.152
|
408 |
- task:
|
409 |
type: retrieval
|
410 |
dataset:
|
|
|
415 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
416 |
metrics:
|
417 |
- type: map_at_1
|
418 |
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value: 14.431
|
419 |
- type: map_at_10
|
420 |
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value: 27.194000000000003
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421 |
- type: map_at_100
|
422 |
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value: 30.575000000000003
|
423 |
- type: map_at_1000
|
424 |
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value: 30.75
|
425 |
- type: map_at_20
|
426 |
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value: 28.938999999999997
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427 |
- type: map_at_3
|
428 |
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value: 21.69
|
429 |
- type: map_at_5
|
430 |
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value: 24.657999999999998
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431 |
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|
432 |
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value: 31.163999999999998
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433 |
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434 |
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value: 43.417
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435 |
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|
436 |
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value: 44.48
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437 |
- type: mrr_at_1000
|
438 |
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value: 44.499
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439 |
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|
440 |
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value: 44.112
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441 |
- type: mrr_at_3
|
442 |
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value: 39.57
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443 |
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|
444 |
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value: 41.692
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445 |
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|
446 |
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value: 31.163999999999998
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447 |
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448 |
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value: 36.925000000000004
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449 |
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|
450 |
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value: 48.15
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451 |
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452 |
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value: 50.131
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453 |
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|
454 |
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value: 41.308
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455 |
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|
456 |
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value: 30.291
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457 |
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|
458 |
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value: 32.731
|
459 |
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|
460 |
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value: 31.163999999999998
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461 |
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|
462 |
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value: 12.065
|
463 |
- type: precision_at_100
|
464 |
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value: 2.469
|
465 |
- type: precision_at_1000
|
466 |
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value: 0.28500000000000003
|
467 |
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|
468 |
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value: 7.997
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469 |
- type: precision_at_3
|
470 |
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value: 21.443
|
471 |
- type: precision_at_5
|
472 |
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value: 17.447
|
473 |
- type: recall_at_1
|
474 |
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value: 14.431
|
475 |
- type: recall_at_10
|
476 |
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value: 48.275
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477 |
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|
478 |
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value: 87.19200000000001
|
479 |
- type: recall_at_1000
|
480 |
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value: 97.79299999999999
|
481 |
- type: recall_at_20
|
482 |
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value: 60.870000000000005
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483 |
- type: recall_at_3
|
484 |
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value: 27.679
|
485 |
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|
486 |
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value: 36.479
|
487 |
- task:
|
488 |
type: retrieval
|
489 |
dataset:
|
|
|
494 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
495 |
metrics:
|
496 |
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|
497 |
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value: 13.642000000000001
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498 |
- type: map_at_10
|
499 |
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value: 22.744
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500 |
- type: map_at_100
|
501 |
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value: 24.083
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502 |
- type: map_at_1000
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503 |
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value: 24.157
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504 |
- type: map_at_20
|
505 |
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value: 23.592
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506 |
- type: map_at_3
|
507 |
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value: 19.134999999999998
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508 |
- type: map_at_5
|
509 |
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value: 21.448999999999998
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510 |
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511 |
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value: 16.667
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512 |
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513 |
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value: 25.77
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514 |
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|
515 |
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value: 26.878
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516 |
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|
517 |
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value: 26.938000000000002
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518 |
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519 |
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value: 26.503
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520 |
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521 |
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value: 22.512999999999998
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522 |
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523 |
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524 |
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|
525 |
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526 |
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527 |
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value: 28.652
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528 |
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|
529 |
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value: 34.716
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530 |
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|
531 |
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value: 36.649
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532 |
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533 |
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value: 31.508000000000003
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534 |
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535 |
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value: 21.748
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536 |
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|
537 |
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value: 25.647
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538 |
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|
539 |
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value: 16.667
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540 |
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|
541 |
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value: 5.3629999999999995
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542 |
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|
543 |
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value: 0.886
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544 |
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|
545 |
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value: 0.107
|
546 |
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|
547 |
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value: 3.36
|
548 |
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|
549 |
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value: 10.529
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550 |
- type: precision_at_5
|
551 |
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value: 8.522
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552 |
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|
553 |
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554 |
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|
555 |
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value: 43.884
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556 |
- type: recall_at_100
|
557 |
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value: 70.744
|
558 |
- type: recall_at_1000
|
559 |
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value: 85.372
|
560 |
- type: recall_at_20
|
561 |
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value: 54.48
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562 |
- type: recall_at_3
|
563 |
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value: 26.142
|
564 |
- type: recall_at_5
|
565 |
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value: 35.17
|
566 |
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|
567 |
type: retrieval
|
568 |
dataset:
|
|
|
573 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
574 |
metrics:
|
575 |
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|
576 |
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value: 20.752000000000002
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577 |
- type: map_at_10
|
578 |
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value: 34.931
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579 |
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580 |
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value: 37.132
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581 |
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|
582 |
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value: 37.230999999999995
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583 |
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|
584 |
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value: 36.144
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585 |
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586 |
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value: 29.692
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587 |
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|
588 |
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value: 32.536
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589 |
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590 |
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value: 32.437
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591 |
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|
592 |
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value: 44.41
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593 |
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594 |
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value: 45.324
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595 |
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|
596 |
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value: 45.348
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597 |
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|
598 |
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value: 44.945
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599 |
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|
600 |
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value: 41.482
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601 |
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|
602 |
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value: 43.183
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603 |
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|
604 |
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605 |
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606 |
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value: 43.018
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607 |
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|
608 |
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value: 50.805
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609 |
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|
610 |
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611 |
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612 |
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value: 46.215
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613 |
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|
614 |
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value: 36.269
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615 |
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|
616 |
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value: 39.101
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617 |
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|
618 |
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value: 32.437
|
619 |
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|
620 |
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value: 11.013
|
621 |
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|
622 |
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value: 1.799
|
623 |
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|
624 |
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value: 0.201
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625 |
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|
626 |
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value: 6.7250000000000005
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627 |
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|
628 |
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value: 22.416
|
629 |
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|
630 |
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value: 17.152
|
631 |
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|
632 |
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633 |
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|
634 |
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635 |
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|
636 |
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value: 85.735
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637 |
- type: recall_at_1000
|
638 |
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value: 94.599
|
639 |
- type: recall_at_20
|
640 |
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value: 66.237
|
641 |
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|
642 |
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value: 37.551
|
643 |
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|
644 |
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value: 45.629
|
645 |
- task:
|
646 |
type: retrieval
|
647 |
dataset:
|
|
|
652 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
653 |
metrics:
|
654 |
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|
655 |
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value: 28.829
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656 |
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|
657 |
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value: 46.749
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658 |
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659 |
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value: 48.457
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660 |
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661 |
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662 |
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|
663 |
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value: 47.798
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664 |
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|
665 |
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value: 40.449
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666 |
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|
667 |
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value: 44.3
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668 |
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|
669 |
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670 |
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671 |
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672 |
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673 |
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674 |
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675 |
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676 |
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|
677 |
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value: 59.071
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678 |
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|
679 |
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value: 55.75
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680 |
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|
681 |
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682 |
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683 |
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684 |
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685 |
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686 |
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687 |
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value: 61.732
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688 |
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689 |
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690 |
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|
691 |
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692 |
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|
693 |
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value: 46.866
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694 |
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|
695 |
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value: 51.625
|
696 |
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|
697 |
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value: 46.5
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698 |
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|
699 |
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value: 12.920000000000002
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700 |
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|
701 |
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value: 1.745
|
702 |
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|
703 |
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value: 0.187
|
704 |
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|
705 |
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value: 7.37
|
706 |
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|
707 |
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value: 28.166999999999998
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708 |
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|
709 |
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value: 21.2
|
710 |
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|
711 |
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value: 28.829
|
712 |
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|
713 |
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value: 70.075
|
714 |
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|
715 |
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value: 92.098
|
716 |
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|
717 |
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value: 97.813
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718 |
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|
719 |
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value: 78.975
|
720 |
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|
721 |
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value: 48.635
|
722 |
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|
723 |
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value: 59.202999999999996
|
724 |
- task:
|
725 |
type: retrieval
|
726 |
dataset:
|
|
|
731 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
732 |
metrics:
|
733 |
- type: map_at_1
|
734 |
+
value: 20.654
|
735 |
- type: map_at_10
|
736 |
+
value: 32.103
|
737 |
- type: map_at_100
|
738 |
+
value: 33.129
|
739 |
- type: map_at_1000
|
740 |
+
value: 33.184999999999995
|
741 |
- type: map_at_20
|
742 |
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value: 32.739000000000004
|
743 |
- type: map_at_3
|
744 |
+
value: 28.338
|
745 |
- type: map_at_5
|
746 |
+
value: 30.564000000000004
|
747 |
- type: mrr_at_1
|
748 |
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value: 22.567999999999998
|
749 |
- type: mrr_at_10
|
750 |
+
value: 33.949
|
751 |
- type: mrr_at_100
|
752 |
+
value: 34.804
|
753 |
- type: mrr_at_1000
|
754 |
+
value: 34.849999999999994
|
755 |
- type: mrr_at_20
|
756 |
+
value: 34.496
|
757 |
- type: mrr_at_3
|
758 |
+
value: 30.581999999999997
|
759 |
- type: mrr_at_5
|
760 |
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value: 32.5
|
761 |
- type: ndcg_at_1
|
762 |
+
value: 22.567999999999998
|
763 |
- type: ndcg_at_10
|
764 |
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value: 38.681
|
765 |
- type: ndcg_at_100
|
766 |
+
value: 43.367
|
767 |
- type: ndcg_at_1000
|
768 |
+
value: 44.836999999999996
|
769 |
- type: ndcg_at_20
|
770 |
+
value: 40.815
|
771 |
- type: ndcg_at_3
|
772 |
+
value: 31.328
|
773 |
- type: ndcg_at_5
|
774 |
+
value: 35.083
|
775 |
- type: precision_at_1
|
776 |
+
value: 22.567999999999998
|
777 |
- type: precision_at_10
|
778 |
+
value: 6.483
|
779 |
- type: precision_at_100
|
780 |
+
value: 0.906
|
781 |
- type: precision_at_1000
|
782 |
+
value: 0.104
|
783 |
- type: precision_at_20
|
784 |
+
value: 3.7319999999999998
|
785 |
- type: precision_at_3
|
786 |
+
value: 14.035
|
787 |
- type: precision_at_5
|
788 |
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value: 10.51
|
789 |
- type: recall_at_1
|
790 |
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value: 20.654
|
791 |
- type: recall_at_10
|
792 |
+
value: 57.297
|
793 |
- type: recall_at_100
|
794 |
+
value: 78.363
|
795 |
- type: recall_at_1000
|
796 |
+
value: 89.673
|
797 |
- type: recall_at_20
|
798 |
+
value: 65.28399999999999
|
799 |
- type: recall_at_3
|
800 |
+
value: 37.799
|
801 |
- type: recall_at_5
|
802 |
+
value: 46.518
|
803 |
- task:
|
804 |
type: retrieval
|
805 |
dataset:
|
|
|
810 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
811 |
metrics:
|
812 |
- type: map_at_1
|
813 |
+
value: 15.484
|
814 |
- type: map_at_10
|
815 |
+
value: 29.692
|
816 |
- type: map_at_100
|
817 |
+
value: 32.604
|
818 |
- type: map_at_1000
|
819 |
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value: 32.668
|
820 |
- type: map_at_20
|
821 |
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value: 31.397000000000002
|
822 |
- type: map_at_3
|
823 |
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value: 23.469
|
824 |
- type: map_at_5
|
825 |
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value: 26.454
|
826 |
- type: mrr_at_1
|
827 |
+
value: 28.863
|
828 |
- type: mrr_at_10
|
829 |
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value: 41.03
|
830 |
- type: mrr_at_100
|
831 |
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value: 42.134
|
832 |
- type: mrr_at_1000
|
833 |
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value: 42.149
|
834 |
- type: mrr_at_20
|
835 |
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value: 41.730000000000004
|
836 |
- type: mrr_at_3
|
837 |
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value: 36.394999999999996
|
838 |
- type: mrr_at_5
|
839 |
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value: 38.814
|
840 |
- type: ndcg_at_1
|
841 |
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value: 28.863
|
842 |
- type: ndcg_at_10
|
843 |
+
value: 39.523
|
844 |
- type: ndcg_at_100
|
845 |
+
value: 49.496
|
846 |
- type: ndcg_at_1000
|
847 |
+
value: 50.375
|
848 |
- type: ndcg_at_20
|
849 |
+
value: 43.923
|
850 |
- type: ndcg_at_3
|
851 |
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value: 29.309
|
852 |
- type: ndcg_at_5
|
853 |
+
value: 33.077
|
854 |
- type: precision_at_1
|
855 |
+
value: 28.863
|
856 |
- type: precision_at_10
|
857 |
+
value: 11.254
|
858 |
- type: precision_at_100
|
859 |
+
value: 1.997
|
860 |
- type: precision_at_1000
|
861 |
+
value: 0.212
|
862 |
- type: precision_at_20
|
863 |
+
value: 7.172000000000001
|
864 |
- type: precision_at_3
|
865 |
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value: 19.631
|
866 |
- type: precision_at_5
|
867 |
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value: 15.568999999999999
|
868 |
- type: recall_at_1
|
869 |
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value: 15.484
|
870 |
- type: recall_at_10
|
871 |
+
value: 56.279999999999994
|
872 |
- type: recall_at_100
|
873 |
+
value: 93.714
|
874 |
- type: recall_at_1000
|
875 |
+
value: 99.125
|
876 |
- type: recall_at_20
|
877 |
+
value: 70.215
|
878 |
- type: recall_at_3
|
879 |
+
value: 29.688
|
880 |
- type: recall_at_5
|
881 |
+
value: 39.329
|
882 |
- task:
|
883 |
type: retrieval
|
884 |
dataset:
|
|
|
889 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
890 |
metrics:
|
891 |
- type: map_at_1
|
892 |
+
value: 16.442999999999998
|
893 |
- type: map_at_10
|
894 |
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value: 29.224
|
895 |
- type: map_at_100
|
896 |
+
value: 31.386999999999997
|
897 |
- type: map_at_1000
|
898 |
+
value: 31.529
|
899 |
- type: map_at_20
|
900 |
+
value: 30.54
|
901 |
- type: map_at_3
|
902 |
+
value: 24.521
|
903 |
- type: map_at_5
|
904 |
+
value: 26.979
|
905 |
- type: mrr_at_1
|
906 |
+
value: 33.428999999999995
|
907 |
- type: mrr_at_10
|
908 |
+
value: 42.951
|
909 |
- type: mrr_at_100
|
910 |
+
value: 43.832
|
911 |
- type: mrr_at_1000
|
912 |
+
value: 43.891000000000005
|
913 |
- type: mrr_at_20
|
914 |
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value: 43.494
|
915 |
- type: mrr_at_3
|
916 |
+
value: 40.048
|
917 |
- type: mrr_at_5
|
918 |
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value: 41.819
|
919 |
- type: ndcg_at_1
|
920 |
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value: 33.428999999999995
|
921 |
- type: ndcg_at_10
|
922 |
+
value: 37.462
|
923 |
- type: ndcg_at_100
|
924 |
+
value: 45.123000000000005
|
925 |
- type: ndcg_at_1000
|
926 |
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value: 47.805
|
927 |
- type: ndcg_at_20
|
928 |
+
value: 40.739999999999995
|
929 |
- type: ndcg_at_3
|
930 |
+
value: 31.89
|
931 |
- type: ndcg_at_5
|
932 |
+
value: 33.934999999999995
|
933 |
- type: precision_at_1
|
934 |
+
value: 33.428999999999995
|
935 |
- type: precision_at_10
|
936 |
+
value: 10.343
|
937 |
- type: precision_at_100
|
938 |
+
value: 1.714
|
939 |
- type: precision_at_1000
|
940 |
+
value: 0.20500000000000002
|
941 |
- type: precision_at_20
|
942 |
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value: 6.4
|
943 |
- type: precision_at_3
|
944 |
+
value: 20.952
|
945 |
- type: precision_at_5
|
946 |
+
value: 15.886
|
947 |
- type: recall_at_1
|
948 |
+
value: 16.442999999999998
|
949 |
- type: recall_at_10
|
950 |
+
value: 47.987
|
951 |
- type: recall_at_100
|
952 |
+
value: 77.628
|
953 |
- type: recall_at_1000
|
954 |
+
value: 95.673
|
955 |
- type: recall_at_20
|
956 |
+
value: 58.199999999999996
|
957 |
- type: recall_at_3
|
958 |
+
value: 30.904999999999998
|
959 |
- type: recall_at_5
|
960 |
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value: 38.705
|
961 |
- task:
|
962 |
type: retrieval
|
963 |
dataset:
|
|
|
968 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
969 |
metrics:
|
970 |
- type: map_at_1
|
971 |
+
value: 14.551
|
972 |
- type: map_at_10
|
973 |
+
value: 27.144000000000002
|
974 |
- type: map_at_100
|
975 |
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value: 29.918
|
976 |
- type: map_at_1000
|
977 |
+
value: 30.14
|
978 |
- type: map_at_20
|
979 |
+
value: 28.665000000000003
|
980 |
- type: map_at_3
|
981 |
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value: 22.004
|
982 |
- type: map_at_5
|
983 |
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value: 24.851
|
984 |
- type: mrr_at_1
|
985 |
+
value: 33.542
|
986 |
- type: mrr_at_10
|
987 |
+
value: 45.576
|
988 |
- type: mrr_at_100
|
989 |
+
value: 46.402
|
990 |
- type: mrr_at_1000
|
991 |
+
value: 46.432
|
992 |
- type: mrr_at_20
|
993 |
+
value: 46.082
|
994 |
- type: mrr_at_3
|
995 |
+
value: 42.483
|
996 |
- type: mrr_at_5
|
997 |
+
value: 44.399
|
998 |
- type: ndcg_at_1
|
999 |
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value: 33.542
|
1000 |
- type: ndcg_at_10
|
1001 |
+
value: 36.287000000000006
|
1002 |
- type: ndcg_at_100
|
1003 |
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value: 45.253
|
1004 |
- type: ndcg_at_1000
|
1005 |
+
value: 48.33
|
1006 |
- type: ndcg_at_20
|
1007 |
+
value: 39.855000000000004
|
1008 |
- type: ndcg_at_3
|
1009 |
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value: 31.69
|
1010 |
- type: ndcg_at_5
|
1011 |
+
value: 33.332
|
1012 |
- type: precision_at_1
|
1013 |
+
value: 33.542
|
1014 |
- type: precision_at_10
|
1015 |
+
value: 12.333
|
1016 |
- type: precision_at_100
|
1017 |
+
value: 2.322
|
1018 |
- type: precision_at_1000
|
1019 |
+
value: 0.292
|
1020 |
- type: precision_at_20
|
1021 |
+
value: 7.875
|
1022 |
- type: precision_at_3
|
1023 |
+
value: 23.125
|
1024 |
- type: precision_at_5
|
1025 |
+
value: 18.583
|
1026 |
- type: recall_at_1
|
1027 |
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value: 14.551
|
1028 |
- type: recall_at_10
|
1029 |
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value: 43.636
|
1030 |
- type: recall_at_100
|
1031 |
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value: 73.603
|
1032 |
- type: recall_at_1000
|
1033 |
+
value: 90.596
|
1034 |
- type: recall_at_20
|
1035 |
+
value: 53.559
|
1036 |
- type: recall_at_3
|
1037 |
+
value: 27.383999999999997
|
1038 |
- type: recall_at_5
|
1039 |
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value: 34.997
|
1040 |
- task:
|
1041 |
type: retrieval
|
1042 |
dataset:
|
|
|
1047 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
1048 |
metrics:
|
1049 |
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|
1050 |
+
value: 28.669
|
1051 |
- type: map_at_10
|
1052 |
+
value: 41.611
|
1053 |
- type: map_at_100
|
1054 |
+
value: 42.522999999999996
|
1055 |
- type: map_at_1000
|
1056 |
+
value: 42.552
|
1057 |
- type: map_at_20
|
1058 |
+
value: 42.211
|
1059 |
- type: map_at_3
|
1060 |
+
value: 37.719
|
1061 |
- type: map_at_5
|
1062 |
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value: 40.182
|
1063 |
- type: mrr_at_1
|
1064 |
+
value: 31.846000000000004
|
1065 |
- type: mrr_at_10
|
1066 |
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value: 43.695
|
1067 |
- type: mrr_at_100
|
1068 |
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value: 44.45
|
1069 |
- type: mrr_at_1000
|
1070 |
+
value: 44.474000000000004
|
1071 |
- type: mrr_at_20
|
1072 |
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value: 44.214999999999996
|
1073 |
- type: mrr_at_3
|
1074 |
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value: 40.31
|
1075 |
- type: mrr_at_5
|
1076 |
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value: 42.469
|
1077 |
- type: ndcg_at_1
|
1078 |
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value: 31.846000000000004
|
1079 |
- type: ndcg_at_10
|
1080 |
+
value: 48.416
|
1081 |
- type: ndcg_at_100
|
1082 |
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value: 52.464999999999996
|
1083 |
- type: ndcg_at_1000
|
1084 |
+
value: 53.234
|
1085 |
- type: ndcg_at_20
|
1086 |
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value: 50.468999999999994
|
1087 |
- type: ndcg_at_3
|
1088 |
+
value: 40.973
|
1089 |
- type: ndcg_at_5
|
1090 |
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value: 45.163
|
1091 |
- type: precision_at_1
|
1092 |
+
value: 31.846000000000004
|
1093 |
- type: precision_at_10
|
1094 |
+
value: 7.768
|
1095 |
- type: precision_at_100
|
1096 |
+
value: 0.992
|
1097 |
- type: precision_at_1000
|
1098 |
+
value: 0.106
|
1099 |
- type: precision_at_20
|
1100 |
+
value: 4.343
|
1101 |
- type: precision_at_3
|
1102 |
+
value: 18.134
|
1103 |
- type: precision_at_5
|
1104 |
+
value: 13.221
|
1105 |
- type: recall_at_1
|
1106 |
+
value: 28.669
|
1107 |
- type: recall_at_10
|
1108 |
+
value: 67.29
|
1109 |
- type: recall_at_100
|
1110 |
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value: 85.324
|
1111 |
- type: recall_at_1000
|
1112 |
+
value: 91.27499999999999
|
1113 |
- type: recall_at_20
|
1114 |
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value: 75.111
|
1115 |
- type: recall_at_3
|
1116 |
+
value: 47.869
|
1117 |
- type: recall_at_5
|
1118 |
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value: 57.620000000000005
|
1119 |
- task:
|
1120 |
type: retrieval
|
1121 |
dataset:
|
|
|
1126 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1127 |
metrics:
|
1128 |
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|
1129 |
+
value: 16.499
|
1130 |
- type: map_at_10
|
1131 |
+
value: 29.566
|
1132 |
- type: map_at_100
|
1133 |
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value: 31.846999999999998
|
1134 |
- type: map_at_1000
|
1135 |
+
value: 31.968999999999998
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1136 |
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|
1137 |
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value: 30.758000000000003
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1138 |
- type: map_at_3
|
1139 |
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value: 24.954
|
1140 |
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|
1141 |
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value: 27.195000000000004
|
1142 |
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|
1143 |
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value: 27.093
|
1144 |
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|
1145 |
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value: 40.861999999999995
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1146 |
- type: mrr_at_100
|
1147 |
+
value: 41.926
|
1148 |
- type: mrr_at_1000
|
1149 |
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value: 41.942
|
1150 |
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|
1151 |
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value: 41.55
|
1152 |
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|
1153 |
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value: 37.151
|
1154 |
- type: mrr_at_5
|
1155 |
+
value: 38.958999999999996
|
1156 |
- type: ndcg_at_1
|
1157 |
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value: 27.093
|
1158 |
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|
1159 |
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value: 38.544
|
1160 |
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|
1161 |
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value: 47.143
|
1162 |
- type: ndcg_at_1000
|
1163 |
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value: 48.802
|
1164 |
- type: ndcg_at_20
|
1165 |
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value: 41.896
|
1166 |
- type: ndcg_at_3
|
1167 |
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value: 31.249
|
1168 |
- type: ndcg_at_5
|
1169 |
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value: 33.873999999999995
|
1170 |
- type: precision_at_1
|
1171 |
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value: 27.093
|
1172 |
- type: precision_at_10
|
1173 |
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value: 9.814
|
1174 |
- type: precision_at_100
|
1175 |
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value: 1.737
|
1176 |
- type: precision_at_1000
|
1177 |
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value: 0.2
|
1178 |
- type: precision_at_20
|
1179 |
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value: 6.064
|
1180 |
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|
1181 |
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value: 19.147
|
1182 |
- type: precision_at_5
|
1183 |
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value: 14.465
|
1184 |
- type: recall_at_1
|
1185 |
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value: 16.499
|
1186 |
- type: recall_at_10
|
1187 |
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value: 53.580000000000005
|
1188 |
- type: recall_at_100
|
1189 |
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value: 86.792
|
1190 |
- type: recall_at_1000
|
1191 |
+
value: 96.61999999999999
|
1192 |
- type: recall_at_20
|
1193 |
+
value: 64.302
|
1194 |
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|
1195 |
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value: 33.588
|
1196 |
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|
1197 |
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value: 40.993
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1198 |
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|
1199 |
type: retrieval
|
1200 |
dataset:
|
|
|
1205 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
1206 |
metrics:
|
1207 |
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|
1208 |
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value: 16.644000000000002
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1209 |
- type: map_at_10
|
1210 |
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value: 25.667
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1211 |
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1212 |
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value: 26.926
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1213 |
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1214 |
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value: 27.003
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1215 |
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1216 |
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value: 26.468000000000004
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1217 |
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1218 |
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value: 22.808999999999997
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1219 |
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|
1220 |
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value: 24.392
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1221 |
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value: 20.278
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1223 |
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value: 28.683999999999997
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1225 |
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1226 |
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value: 29.785
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1227 |
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1228 |
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value: 29.839
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1229 |
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|
1230 |
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value: 29.391000000000002
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1231 |
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1232 |
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value: 26.25
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1233 |
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value: 27.479
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1235 |
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1236 |
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1239 |
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1241 |
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1242 |
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1243 |
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1244 |
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1245 |
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|
1246 |
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value: 25.590000000000003
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1247 |
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1248 |
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value: 28.136
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1249 |
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1250 |
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value: 20.278
|
1251 |
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|
1252 |
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value: 5.611
|
1253 |
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|
1254 |
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value: 0.899
|
1255 |
- type: precision_at_1000
|
1256 |
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value: 0.109
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1257 |
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|
1258 |
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value: 3.465
|
1259 |
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|
1260 |
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value: 12.5
|
1261 |
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|
1262 |
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value: 8.972
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1263 |
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1264 |
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value: 16.644000000000002
|
1265 |
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1266 |
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value: 44.931
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1267 |
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1268 |
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value: 70.741
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1269 |
- type: recall_at_1000
|
1270 |
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value: 84.282
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1271 |
- type: recall_at_20
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1272 |
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value: 55.022999999999996
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1273 |
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|
1274 |
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value: 30.37
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1275 |
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|
1276 |
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value: 36.134
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1277 |
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|
1278 |
type: retrieval
|
1279 |
dataset:
|
|
|
1284 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1285 |
metrics:
|
1286 |
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|
1287 |
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value: 20.192
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1288 |
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1289 |
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value: 32.281
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1290 |
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1291 |
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value: 34.396
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1292 |
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1293 |
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value: 34.604
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1294 |
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1295 |
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value: 33.495000000000005
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1296 |
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1297 |
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value: 27.489
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1298 |
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1299 |
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value: 30.022
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1300 |
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1301 |
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value: 34.742
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1302 |
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1303 |
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value: 46.117999999999995
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1304 |
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1305 |
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value: 47.066
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1306 |
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1307 |
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value: 47.095
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1308 |
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1309 |
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value: 46.867
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1310 |
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1311 |
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value: 41.862
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1312 |
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1313 |
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value: 44.702999999999996
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1314 |
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value: 34.742
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1317 |
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value: 41.193999999999996
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1318 |
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1319 |
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value: 48.691
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1320 |
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1321 |
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1322 |
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1323 |
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value: 44.592999999999996
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1324 |
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value: 35.004000000000005
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1326 |
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1327 |
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value: 37.608000000000004
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1328 |
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value: 34.742
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1330 |
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|
1331 |
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value: 10.61
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1332 |
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1333 |
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value: 1.8450000000000002
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1334 |
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1335 |
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value: 0.24
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1336 |
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value: 6.5729999999999995
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1338 |
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|
1339 |
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value: 20.657
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1340 |
- type: precision_at_5
|
1341 |
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value: 16.150000000000002
|
1342 |
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|
1343 |
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value: 20.192
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1344 |
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1345 |
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value: 54.154
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1346 |
- type: recall_at_100
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1347 |
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value: 80.49199999999999
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1348 |
- type: recall_at_1000
|
1349 |
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value: 94.61699999999999
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1350 |
- type: recall_at_20
|
1351 |
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value: 64.74
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1352 |
- type: recall_at_3
|
1353 |
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value: 34.288000000000004
|
1354 |
- type: recall_at_5
|
1355 |
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value: 43.401
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1356 |
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|
1357 |
type: retrieval
|
1358 |
dataset:
|
|
|
1363 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
1364 |
metrics:
|
1365 |
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1366 |
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value: 22.288
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1367 |
- type: map_at_10
|
1368 |
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value: 30.096
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1369 |
- type: map_at_100
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1370 |
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value: 30.866
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1371 |
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1372 |
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value: 30.939
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1373 |
- type: map_at_20
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1374 |
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value: 30.496000000000002
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1375 |
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1376 |
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value: 27.672
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1377 |
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1378 |
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value: 28.866000000000003
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1379 |
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1380 |
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value: 23.990000000000002
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1381 |
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1382 |
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value: 32.017
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1383 |
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1384 |
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value: 32.665
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1385 |
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1386 |
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value: 32.726
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1387 |
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1388 |
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value: 32.348
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1389 |
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1390 |
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value: 29.572
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1391 |
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1392 |
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value: 30.808000000000003
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1394 |
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value: 23.990000000000002
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1395 |
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1396 |
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1397 |
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1398 |
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value: 38.625
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1399 |
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1400 |
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value: 40.760999999999996
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1401 |
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|
1402 |
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value: 36.138
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1403 |
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1404 |
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value: 29.744999999999997
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1405 |
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|
1406 |
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value: 31.884
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1407 |
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1408 |
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value: 23.990000000000002
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1409 |
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|
1410 |
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value: 5.297000000000001
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1411 |
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1412 |
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value: 0.753
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1413 |
- type: precision_at_1000
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1414 |
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value: 0.095
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1415 |
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1416 |
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value: 2.981
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1417 |
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1418 |
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value: 12.272
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1419 |
- type: precision_at_5
|
1420 |
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value: 8.551
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1421 |
- type: recall_at_1
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1422 |
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value: 22.288
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1423 |
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1424 |
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value: 47.743
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1425 |
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1426 |
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value: 65.202
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1427 |
- type: recall_at_1000
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1428 |
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value: 82.106
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1429 |
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|
1430 |
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value: 52.534000000000006
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1431 |
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|
1432 |
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value: 33.927
|
1433 |
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|
1434 |
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value: 38.915
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1435 |
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|
1436 |
type: retrieval
|
1437 |
dataset:
|
|
|
1442 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1443 |
metrics:
|
1444 |
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1445 |
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value: 16.445
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1446 |
- type: map_at_10
|
1447 |
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value: 29.376
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1448 |
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1449 |
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value: 32.425
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1450 |
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1451 |
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value: 32.589
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1452 |
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1453 |
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value: 30.973
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1454 |
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1455 |
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value: 24.026
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1456 |
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1457 |
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value: 26.831
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1458 |
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1459 |
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value: 31.8
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1460 |
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1461 |
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value: 44.454
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1462 |
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1463 |
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value: 45.534
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1464 |
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1465 |
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1466 |
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1467 |
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value: 45.192
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1468 |
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1469 |
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value: 41.117
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1470 |
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1471 |
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1479 |
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1482 |
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value: 31.922
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|
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value: 34.512
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1486 |
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|
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value: 31.8
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1488 |
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|
1489 |
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1490 |
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|
1491 |
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value: 2.325
|
1492 |
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|
1493 |
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value: 0.27
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1494 |
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|
1495 |
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|
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1498 |
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|
1499 |
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|
1500 |
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|
1501 |
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1502 |
- type: recall_at_10
|
1503 |
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1504 |
- type: recall_at_100
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1505 |
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1506 |
- type: recall_at_1000
|
1507 |
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value: 95.318
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1508 |
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|
1509 |
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1510 |
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|
1511 |
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1512 |
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|
1513 |
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value: 38.3
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1514 |
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|
1515 |
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|
1516 |
dataset:
|
|
|
1521 |
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|
1522 |
metrics:
|
1523 |
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1524 |
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value: 16.516000000000002
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1525 |
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1526 |
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1527 |
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1528 |
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1529 |
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1530 |
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1531 |
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1532 |
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1533 |
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1534 |
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1535 |
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value: 23.285
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1537 |
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1538 |
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1539 |
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1540 |
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1543 |
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1544 |
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1546 |
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1547 |
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1548 |
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1549 |
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|
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1555 |
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1556 |
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1558 |
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1559 |
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1560 |
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1562 |
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|
1564 |
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1565 |
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|
1566 |
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1567 |
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|
1568 |
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1569 |
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1570 |
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1572 |
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1577 |
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1583 |
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1585 |
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|
1586 |
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1587 |
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|
1588 |
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1589 |
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1590 |
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1591 |
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|
1592 |
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1593 |
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|
1594 |
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|
1595 |
dataset:
|
|
|
1600 |
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|
1601 |
metrics:
|
1602 |
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1603 |
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value: 12.144
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1604 |
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1605 |
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1607 |
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1609 |
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1611 |
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1613 |
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1614 |
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1618 |
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1619 |
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1620 |
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1622 |
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1623 |
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1624 |
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1625 |
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1628 |
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1629 |
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1630 |
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1631 |
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1633 |
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1634 |
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1635 |
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1636 |
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1637 |
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1638 |
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1639 |
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1640 |
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1641 |
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1642 |
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|
1643 |
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|
1644 |
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|
1645 |
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1646 |
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|
1647 |
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|
1648 |
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|
1649 |
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|
1650 |
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|
1651 |
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1652 |
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|
1653 |
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|
1654 |
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|
1655 |
+
value: 31.790000000000003
|
1656 |
- type: precision_at_5
|
1657 |
+
value: 26.667
|
1658 |
- type: recall_at_1
|
1659 |
+
value: 12.144
|
1660 |
- type: recall_at_10
|
1661 |
+
value: 44.92
|
1662 |
- type: recall_at_100
|
1663 |
+
value: 86.141
|
1664 |
- type: recall_at_1000
|
1665 |
+
value: 96.234
|
1666 |
- type: recall_at_20
|
1667 |
+
value: 58.194
|
1668 |
- type: recall_at_3
|
1669 |
+
value: 24.733
|
1670 |
- type: recall_at_5
|
1671 |
+
value: 32.385000000000005
|
1672 |
- task:
|
1673 |
type: retrieval
|
1674 |
dataset:
|
|
|
1679 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1680 |
metrics:
|
1681 |
- type: map_at_1
|
1682 |
+
value: 21.401
|
1683 |
- type: map_at_10
|
1684 |
+
value: 34.205000000000005
|
1685 |
- type: map_at_100
|
1686 |
+
value: 35.571000000000005
|
1687 |
- type: map_at_1000
|
1688 |
+
value: 35.682
|
1689 |
- type: map_at_20
|
1690 |
+
value: 35.077000000000005
|
1691 |
- type: map_at_3
|
1692 |
+
value: 30.706
|
1693 |
- type: map_at_5
|
1694 |
+
value: 32.902
|
1695 |
- type: mrr_at_1
|
1696 |
+
value: 32.78
|
1697 |
- type: mrr_at_10
|
1698 |
+
value: 44.205
|
1699 |
- type: mrr_at_100
|
1700 |
+
value: 45.013
|
1701 |
- type: mrr_at_1000
|
1702 |
+
value: 45.055
|
1703 |
- type: mrr_at_20
|
1704 |
+
value: 44.726
|
1705 |
- type: mrr_at_3
|
1706 |
+
value: 41.909
|
1707 |
- type: mrr_at_5
|
1708 |
+
value: 43.434
|
1709 |
- type: ndcg_at_1
|
1710 |
+
value: 32.78
|
1711 |
- type: ndcg_at_10
|
1712 |
+
value: 41.385
|
1713 |
- type: ndcg_at_100
|
1714 |
+
value: 46.568
|
1715 |
- type: ndcg_at_1000
|
1716 |
+
value: 48.881
|
1717 |
- type: ndcg_at_20
|
1718 |
+
value: 43.872
|
1719 |
- type: ndcg_at_3
|
1720 |
+
value: 36.634
|
1721 |
- type: ndcg_at_5
|
1722 |
+
value: 38.964999999999996
|
1723 |
- type: precision_at_1
|
1724 |
+
value: 32.78
|
1725 |
- type: precision_at_10
|
1726 |
+
value: 8.859
|
1727 |
- type: precision_at_100
|
1728 |
+
value: 1.32
|
1729 |
- type: precision_at_1000
|
1730 |
+
value: 0.16199999999999998
|
1731 |
- type: precision_at_20
|
1732 |
+
value: 5.27
|
1733 |
- type: precision_at_3
|
1734 |
+
value: 20.608999999999998
|
1735 |
- type: precision_at_5
|
1736 |
+
value: 14.979000000000001
|
1737 |
- type: recall_at_1
|
1738 |
+
value: 21.401
|
1739 |
- type: recall_at_10
|
1740 |
+
value: 52.471000000000004
|
1741 |
- type: recall_at_100
|
1742 |
+
value: 72.069
|
1743 |
- type: recall_at_1000
|
1744 |
+
value: 87.996
|
1745 |
- type: recall_at_20
|
1746 |
+
value: 60.589999999999996
|
1747 |
- type: recall_at_3
|
1748 |
+
value: 39.28
|
1749 |
- type: recall_at_5
|
1750 |
+
value: 46.015
|
1751 |
- task:
|
1752 |
type: retrieval
|
1753 |
dataset:
|
|
|
1758 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
1759 |
metrics:
|
1760 |
- type: map_at_1
|
1761 |
+
value: 29.005
|
1762 |
- type: map_at_10
|
1763 |
+
value: 40.907
|
1764 |
- type: map_at_100
|
1765 |
+
value: 41.557
|
1766 |
- type: map_at_1000
|
1767 |
+
value: 41.604
|
1768 |
- type: map_at_20
|
1769 |
+
value: 41.234
|
1770 |
- type: map_at_3
|
1771 |
+
value: 38.114
|
1772 |
- type: map_at_5
|
1773 |
+
value: 39.6
|
1774 |
- type: mrr_at_1
|
1775 |
+
value: 30.597
|
1776 |
- type: mrr_at_10
|
1777 |
+
value: 42.0
|
1778 |
- type: mrr_at_100
|
1779 |
+
value: 42.557
|
1780 |
- type: mrr_at_1000
|
1781 |
+
value: 42.601
|
1782 |
- type: mrr_at_20
|
1783 |
+
value: 42.272999999999996
|
1784 |
- type: mrr_at_3
|
1785 |
+
value: 39.378
|
1786 |
- type: mrr_at_5
|
1787 |
+
value: 40.759
|
1788 |
- type: ndcg_at_1
|
1789 |
+
value: 30.597
|
1790 |
- type: ndcg_at_10
|
1791 |
+
value: 46.864
|
1792 |
- type: ndcg_at_100
|
1793 |
+
value: 50.099000000000004
|
1794 |
- type: ndcg_at_1000
|
1795 |
+
value: 51.354
|
1796 |
- type: ndcg_at_20
|
1797 |
+
value: 47.94
|
1798 |
- type: ndcg_at_3
|
1799 |
+
value: 41.234
|
1800 |
- type: ndcg_at_5
|
1801 |
+
value: 43.822
|
1802 |
- type: precision_at_1
|
1803 |
+
value: 30.597
|
1804 |
- type: precision_at_10
|
1805 |
+
value: 6.984999999999999
|
1806 |
- type: precision_at_100
|
1807 |
+
value: 0.8750000000000001
|
1808 |
- type: precision_at_1000
|
1809 |
+
value: 0.099
|
1810 |
- type: precision_at_20
|
1811 |
+
value: 3.7310000000000003
|
1812 |
- type: precision_at_3
|
1813 |
+
value: 17.463
|
1814 |
- type: precision_at_5
|
1815 |
+
value: 11.91
|
1816 |
- type: recall_at_1
|
1817 |
+
value: 29.005
|
1818 |
- type: recall_at_10
|
1819 |
+
value: 64.20400000000001
|
1820 |
- type: recall_at_100
|
1821 |
+
value: 79.403
|
1822 |
- type: recall_at_1000
|
1823 |
+
value: 89.104
|
1824 |
- type: recall_at_20
|
1825 |
+
value: 68.234
|
1826 |
- type: recall_at_3
|
1827 |
+
value: 49.055
|
1828 |
- type: recall_at_5
|
1829 |
+
value: 55.149
|
1830 |
- task:
|
1831 |
type: retrieval
|
1832 |
dataset:
|
|
|
1837 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1838 |
metrics:
|
1839 |
- type: map_at_1
|
1840 |
+
value: 40.781
|
1841 |
- type: map_at_10
|
1842 |
+
value: 53.428
|
1843 |
- type: map_at_100
|
1844 |
+
value: 54.118
|
1845 |
- type: map_at_1000
|
1846 |
+
value: 54.135999999999996
|
1847 |
- type: map_at_20
|
1848 |
+
value: 53.873000000000005
|
1849 |
- type: map_at_3
|
1850 |
+
value: 50.205
|
1851 |
- type: map_at_5
|
1852 |
+
value: 52.356
|
1853 |
- type: mrr_at_1
|
1854 |
+
value: 41.184
|
1855 |
- type: mrr_at_10
|
1856 |
+
value: 53.74100000000001
|
1857 |
- type: mrr_at_100
|
1858 |
+
value: 54.388999999999996
|
1859 |
- type: mrr_at_1000
|
1860 |
+
value: 54.406
|
1861 |
- type: mrr_at_20
|
1862 |
+
value: 54.151
|
1863 |
- type: mrr_at_3
|
1864 |
+
value: 50.664
|
1865 |
- type: mrr_at_5
|
1866 |
+
value: 52.717000000000006
|
1867 |
- type: ndcg_at_1
|
1868 |
+
value: 41.184
|
1869 |
- type: ndcg_at_10
|
1870 |
+
value: 59.614999999999995
|
1871 |
- type: ndcg_at_100
|
1872 |
+
value: 62.875
|
1873 |
- type: ndcg_at_1000
|
1874 |
+
value: 63.368
|
1875 |
- type: ndcg_at_20
|
1876 |
+
value: 61.168
|
1877 |
- type: ndcg_at_3
|
1878 |
+
value: 53.322
|
1879 |
- type: ndcg_at_5
|
1880 |
+
value: 57.079
|
1881 |
- type: precision_at_1
|
1882 |
+
value: 41.184
|
1883 |
- type: precision_at_10
|
1884 |
+
value: 8.043
|
1885 |
- type: precision_at_100
|
1886 |
+
value: 0.963
|
1887 |
- type: precision_at_1000
|
1888 |
+
value: 0.1
|
1889 |
- type: precision_at_20
|
1890 |
+
value: 4.342
|
1891 |
- type: precision_at_3
|
1892 |
+
value: 20.934
|
1893 |
- type: precision_at_5
|
1894 |
+
value: 14.469000000000001
|
1895 |
- type: recall_at_1
|
1896 |
+
value: 40.781
|
1897 |
- type: recall_at_10
|
1898 |
+
value: 78.523
|
1899 |
- type: recall_at_100
|
1900 |
+
value: 93.639
|
1901 |
- type: recall_at_1000
|
1902 |
+
value: 97.504
|
1903 |
- type: recall_at_20
|
1904 |
+
value: 84.56099999999999
|
1905 |
- type: recall_at_3
|
1906 |
+
value: 61.895999999999994
|
1907 |
- type: recall_at_5
|
1908 |
+
value: 70.79299999999999
|
1909 |
- task:
|
1910 |
type: retrieval
|
1911 |
dataset:
|
|
|
1916 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
1917 |
metrics:
|
1918 |
- type: map_at_1
|
1919 |
+
value: 43.344
|
1920 |
- type: map_at_10
|
1921 |
+
value: 56.452000000000005
|
1922 |
- type: map_at_100
|
1923 |
+
value: 57.108000000000004
|
1924 |
- type: map_at_1000
|
1925 |
+
value: 57.131
|
1926 |
- type: map_at_20
|
1927 |
+
value: 56.86600000000001
|
1928 |
- type: map_at_3
|
1929 |
+
value: 54.154
|
1930 |
- type: map_at_5
|
1931 |
+
value: 55.57
|
1932 |
- type: mrr_at_1
|
1933 |
+
value: 44.427
|
1934 |
- type: mrr_at_10
|
1935 |
+
value: 57.16
|
1936 |
- type: mrr_at_100
|
1937 |
+
value: 57.764
|
1938 |
- type: mrr_at_1000
|
1939 |
+
value: 57.785
|
1940 |
- type: mrr_at_20
|
1941 |
+
value: 57.548
|
1942 |
- type: mrr_at_3
|
1943 |
+
value: 55.031
|
1944 |
- type: mrr_at_5
|
1945 |
+
value: 56.330999999999996
|
1946 |
- type: ndcg_at_1
|
1947 |
+
value: 44.427
|
1948 |
- type: ndcg_at_10
|
1949 |
+
value: 62.208
|
1950 |
- type: ndcg_at_100
|
1951 |
+
value: 65.33099999999999
|
1952 |
- type: ndcg_at_1000
|
1953 |
+
value: 65.96
|
1954 |
- type: ndcg_at_20
|
1955 |
+
value: 63.671
|
1956 |
- type: ndcg_at_3
|
1957 |
+
value: 57.68600000000001
|
1958 |
- type: ndcg_at_5
|
1959 |
+
value: 60.126999999999995
|
1960 |
- type: precision_at_1
|
1961 |
+
value: 44.427
|
1962 |
- type: precision_at_10
|
1963 |
+
value: 8.251
|
1964 |
- type: precision_at_100
|
1965 |
+
value: 0.98
|
1966 |
- type: precision_at_1000
|
1967 |
+
value: 0.10300000000000001
|
1968 |
- type: precision_at_20
|
1969 |
+
value: 4.42
|
1970 |
- type: precision_at_3
|
1971 |
+
value: 23.116999999999997
|
1972 |
- type: precision_at_5
|
1973 |
+
value: 15.076999999999998
|
1974 |
- type: recall_at_1
|
1975 |
+
value: 43.344
|
1976 |
- type: recall_at_10
|
1977 |
+
value: 79.10199999999999
|
1978 |
- type: recall_at_100
|
1979 |
+
value: 93.57600000000001
|
1980 |
- type: recall_at_1000
|
1981 |
+
value: 98.529
|
1982 |
- type: recall_at_20
|
1983 |
+
value: 84.83000000000001
|
1984 |
- type: recall_at_3
|
1985 |
+
value: 67.02799999999999
|
1986 |
- type: recall_at_5
|
1987 |
+
value: 72.833
|
1988 |
- task:
|
1989 |
type: retrieval
|
1990 |
dataset:
|
|
|
1995 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
1996 |
metrics:
|
1997 |
- type: map_at_1
|
1998 |
+
value: 27.747
|
1999 |
- type: map_at_10
|
2000 |
+
value: 43.586999999999996
|
2001 |
- type: map_at_100
|
2002 |
+
value: 45.256
|
2003 |
- type: map_at_1000
|
2004 |
+
value: 45.339
|
2005 |
- type: map_at_20
|
2006 |
+
value: 44.628
|
2007 |
- type: map_at_3
|
2008 |
+
value: 38.751999999999995
|
2009 |
- type: map_at_5
|
2010 |
+
value: 41.510000000000005
|
2011 |
- type: mrr_at_1
|
2012 |
+
value: 40.791
|
2013 |
- type: mrr_at_10
|
2014 |
+
value: 53.551
|
2015 |
- type: mrr_at_100
|
2016 |
+
value: 54.31
|
2017 |
- type: mrr_at_1000
|
2018 |
+
value: 54.32599999999999
|
2019 |
- type: mrr_at_20
|
2020 |
+
value: 54.057
|
2021 |
- type: mrr_at_3
|
2022 |
+
value: 50.637
|
2023 |
- type: mrr_at_5
|
2024 |
+
value: 52.525999999999996
|
2025 |
- type: ndcg_at_1
|
2026 |
+
value: 40.791
|
2027 |
- type: ndcg_at_10
|
2028 |
+
value: 52.144999999999996
|
2029 |
- type: ndcg_at_100
|
2030 |
+
value: 57.977000000000004
|
2031 |
- type: ndcg_at_1000
|
2032 |
+
value: 59.24
|
2033 |
- type: ndcg_at_20
|
2034 |
+
value: 54.864999999999995
|
2035 |
- type: ndcg_at_3
|
2036 |
+
value: 45.074
|
2037 |
- type: ndcg_at_5
|
2038 |
+
value: 48.504999999999995
|
2039 |
- type: precision_at_1
|
2040 |
+
value: 40.791
|
2041 |
- type: precision_at_10
|
2042 |
+
value: 11.350999999999999
|
2043 |
- type: precision_at_100
|
2044 |
+
value: 1.6039999999999999
|
2045 |
- type: precision_at_1000
|
2046 |
value: 0.178
|
2047 |
- type: precision_at_20
|
2048 |
+
value: 6.589
|
2049 |
- type: precision_at_3
|
2050 |
+
value: 25.239
|
2051 |
- type: precision_at_5
|
2052 |
+
value: 18.526999999999997
|
2053 |
- type: recall_at_1
|
2054 |
+
value: 27.747
|
2055 |
- type: recall_at_10
|
2056 |
+
value: 66.752
|
2057 |
- type: recall_at_100
|
2058 |
+
value: 89.51400000000001
|
2059 |
- type: recall_at_1000
|
2060 |
+
value: 97.485
|
2061 |
- type: recall_at_20
|
2062 |
+
value: 75.658
|
2063 |
- type: recall_at_3
|
2064 |
+
value: 48.393
|
2065 |
- type: recall_at_5
|
2066 |
+
value: 56.977
|
2067 |
- task:
|
2068 |
type: retrieval
|
2069 |
dataset:
|
|
|
2074 |
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
2075 |
metrics:
|
2076 |
- type: map_at_1
|
2077 |
+
value: 28.810000000000002
|
2078 |
- type: map_at_10
|
2079 |
+
value: 41.803000000000004
|
2080 |
- type: map_at_100
|
2081 |
+
value: 42.818
|
2082 |
- type: map_at_1000
|
2083 |
+
value: 42.861
|
2084 |
- type: map_at_20
|
2085 |
+
value: 42.487
|
2086 |
- type: map_at_3
|
2087 |
+
value: 37.719
|
2088 |
- type: map_at_5
|
2089 |
+
value: 40.143
|
2090 |
- type: mrr_at_1
|
2091 |
+
value: 31.596999999999998
|
2092 |
- type: mrr_at_10
|
2093 |
+
value: 43.784
|
2094 |
- type: mrr_at_100
|
2095 |
+
value: 44.647
|
2096 |
- type: mrr_at_1000
|
2097 |
+
value: 44.681
|
2098 |
- type: mrr_at_20
|
2099 |
+
value: 44.385000000000005
|
2100 |
- type: mrr_at_3
|
2101 |
+
value: 40.266000000000005
|
2102 |
- type: mrr_at_5
|
2103 |
+
value: 42.266
|
2104 |
- type: ndcg_at_1
|
2105 |
+
value: 31.596999999999998
|
2106 |
- type: ndcg_at_10
|
2107 |
+
value: 48.874
|
2108 |
- type: ndcg_at_100
|
2109 |
+
value: 53.285000000000004
|
2110 |
- type: ndcg_at_1000
|
2111 |
+
value: 54.398
|
2112 |
- type: ndcg_at_20
|
2113 |
+
value: 51.188
|
2114 |
- type: ndcg_at_3
|
2115 |
+
value: 41.010000000000005
|
2116 |
- type: ndcg_at_5
|
2117 |
+
value: 45.054
|
2118 |
- type: precision_at_1
|
2119 |
+
value: 31.596999999999998
|
2120 |
- type: precision_at_10
|
2121 |
+
value: 7.747999999999999
|
2122 |
- type: precision_at_100
|
2123 |
+
value: 1.008
|
2124 |
- type: precision_at_1000
|
2125 |
+
value: 0.11100000000000002
|
2126 |
- type: precision_at_20
|
2127 |
+
value: 4.382
|
2128 |
- type: precision_at_3
|
2129 |
+
value: 17.619
|
2130 |
- type: precision_at_5
|
2131 |
+
value: 12.806999999999999
|
2132 |
- type: recall_at_1
|
2133 |
+
value: 28.810000000000002
|
2134 |
- type: recall_at_10
|
2135 |
+
value: 68.88
|
2136 |
- type: recall_at_100
|
2137 |
+
value: 88.263
|
2138 |
- type: recall_at_1000
|
2139 |
+
value: 96.765
|
2140 |
- type: recall_at_20
|
2141 |
+
value: 77.647
|
2142 |
- type: recall_at_3
|
2143 |
+
value: 48.137
|
2144 |
- type: recall_at_5
|
2145 |
+
value: 57.577
|
2146 |
- task:
|
2147 |
type: retrieval
|
2148 |
dataset:
|
|
|
2153 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
2154 |
metrics:
|
2155 |
- type: map_at_1
|
2156 |
+
value: 16.387
|
2157 |
- type: map_at_10
|
2158 |
+
value: 23.988
|
2159 |
- type: map_at_100
|
2160 |
+
value: 24.65
|
2161 |
- type: map_at_1000
|
2162 |
+
value: 24.725
|
2163 |
- type: map_at_20
|
2164 |
+
value: 24.310000000000002
|
2165 |
- type: map_at_3
|
2166 |
+
value: 21.23
|
2167 |
- type: map_at_5
|
2168 |
+
value: 23.093
|
2169 |
- type: mrr_at_1
|
2170 |
+
value: 17.647
|
2171 |
- type: mrr_at_10
|
2172 |
+
value: 26.144000000000002
|
2173 |
- type: mrr_at_100
|
2174 |
+
value: 26.751
|
2175 |
- type: mrr_at_1000
|
2176 |
+
value: 26.804
|
2177 |
- type: mrr_at_20
|
2178 |
+
value: 26.43
|
2179 |
- type: mrr_at_3
|
2180 |
+
value: 23.669
|
2181 |
- type: mrr_at_5
|
2182 |
+
value: 25.392
|
2183 |
- type: ndcg_at_1
|
2184 |
+
value: 17.647
|
2185 |
- type: ndcg_at_10
|
2186 |
+
value: 28.583
|
2187 |
- type: ndcg_at_100
|
2188 |
+
value: 31.790000000000003
|
2189 |
- type: ndcg_at_1000
|
2190 |
+
value: 33.705
|
2191 |
- type: ndcg_at_20
|
2192 |
+
value: 29.669
|
2193 |
- type: ndcg_at_3
|
2194 |
+
value: 23.271
|
2195 |
- type: ndcg_at_5
|
2196 |
+
value: 26.509
|
2197 |
- type: precision_at_1
|
2198 |
+
value: 17.647
|
2199 |
- type: precision_at_10
|
2200 |
+
value: 4.79
|
2201 |
- type: precision_at_100
|
2202 |
+
value: 0.655
|
2203 |
- type: precision_at_1000
|
2204 |
+
value: 0.08499999999999999
|
2205 |
- type: precision_at_20
|
2206 |
+
value: 2.6470000000000002
|
2207 |
- type: precision_at_3
|
2208 |
+
value: 10.363999999999999
|
2209 |
- type: precision_at_5
|
2210 |
+
value: 7.899000000000001
|
2211 |
- type: recall_at_1
|
2212 |
+
value: 16.387
|
2213 |
- type: recall_at_10
|
2214 |
+
value: 40.476
|
2215 |
- type: recall_at_100
|
2216 |
+
value: 55.11200000000001
|
2217 |
- type: recall_at_1000
|
2218 |
+
value: 69.538
|
2219 |
- type: recall_at_20
|
2220 |
+
value: 44.538
|
2221 |
- type: recall_at_3
|
2222 |
+
value: 26.540999999999997
|
2223 |
- type: recall_at_5
|
2224 |
+
value: 34.384
|
2225 |
- task:
|
2226 |
type: retrieval
|
2227 |
dataset:
|
|
|
2232 |
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
2233 |
metrics:
|
2234 |
- type: map_at_1
|
2235 |
+
value: 13.971
|
2236 |
- type: map_at_10
|
2237 |
+
value: 27.076
|
2238 |
- type: map_at_100
|
2239 |
+
value: 30.128
|
2240 |
- type: map_at_1000
|
2241 |
+
value: 30.25
|
2242 |
- type: map_at_20
|
2243 |
+
value: 28.731
|
2244 |
- type: map_at_3
|
2245 |
+
value: 21.029999999999998
|
2246 |
- type: map_at_5
|
2247 |
+
value: 23.769000000000002
|
2248 |
- type: mrr_at_1
|
2249 |
+
value: 26.717999999999996
|
2250 |
- type: mrr_at_10
|
2251 |
+
value: 40.331
|
2252 |
- type: mrr_at_100
|
2253 |
+
value: 41.448
|
2254 |
- type: mrr_at_1000
|
2255 |
+
value: 41.461999999999996
|
2256 |
- type: mrr_at_20
|
2257 |
+
value: 41.103
|
2258 |
- type: mrr_at_3
|
2259 |
+
value: 36.302
|
2260 |
- type: mrr_at_5
|
2261 |
+
value: 38.414
|
2262 |
- type: ndcg_at_1
|
2263 |
+
value: 26.717999999999996
|
2264 |
- type: ndcg_at_10
|
2265 |
+
value: 36.744
|
2266 |
- type: ndcg_at_100
|
2267 |
+
value: 47.361
|
2268 |
- type: ndcg_at_1000
|
2269 |
+
value: 48.869
|
2270 |
- type: ndcg_at_20
|
2271 |
+
value: 41.097
|
2272 |
- type: ndcg_at_3
|
2273 |
+
value: 28.322000000000003
|
2274 |
- type: ndcg_at_5
|
2275 |
+
value: 30.875999999999998
|
2276 |
- type: precision_at_1
|
2277 |
+
value: 26.717999999999996
|
2278 |
- type: precision_at_10
|
2279 |
+
value: 11.679
|
2280 |
- type: precision_at_100
|
2281 |
+
value: 2.2159999999999997
|
2282 |
- type: precision_at_1000
|
2283 |
+
value: 0.248
|
2284 |
- type: precision_at_20
|
2285 |
+
value: 7.545
|
2286 |
- type: precision_at_3
|
2287 |
+
value: 20.102
|
2288 |
- type: precision_at_5
|
2289 |
+
value: 16.131999999999998
|
2290 |
- type: recall_at_1
|
2291 |
+
value: 13.971
|
2292 |
- type: recall_at_10
|
2293 |
+
value: 50.763999999999996
|
2294 |
- type: recall_at_100
|
2295 |
+
value: 89.666
|
2296 |
- type: recall_at_1000
|
2297 |
+
value: 98.038
|
2298 |
- type: recall_at_20
|
2299 |
+
value: 64.1
|
2300 |
- type: recall_at_3
|
2301 |
+
value: 27.16
|
2302 |
- type: recall_at_5
|
2303 |
+
value: 35.022999999999996
|
2304 |
widget:
|
2305 |
- source_sentence: ما هي أفضل الفنادق في ايبوهبالقرب من Ipoh Parade Shopping Centre؟
|
2306 |
sentences:
|
|
|
2383 |
|
2384 |
### Model Description
|
2385 |
- **Model Type:** Sentence Transformer
|
2386 |
+
- **Base model:** [XLM-RoBERTa-base-MSMARCO](https://huggingface.co/anonymous202501/xlm-roberta-base-msmarco)
|
2387 |
- **Maximum Sequence Length:** 512 tokens
|
2388 |
- **Output Dimensionality:** 768 dimensions
|
2389 |
- **Similarity Function:** Cosine Similarity
|
2390 |
+
- **Training Dataset:** [WebFAQ Retrieval Dataset](https://huggingface.co/datasets/anonymous202501/webfaq-retrieval)
|
2391 |
<!-- - **Language:** Unknown -->
|
2392 |
- **License:** MIT
|
2393 |
|