Update README.md
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README.md
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@@ -414,7 +414,7 @@ model-index:
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- type: cos_sim_precision
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value: 45.44539506794162
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- type: cos_sim_recall
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-
value: 100
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- type: dot_accuracy
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value: 60.6
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- type: dot_ap
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@@ -424,7 +424,7 @@ model-index:
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- type: dot_precision
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value: 45.44539506794162
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- type: dot_recall
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-
value: 100
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- type: euclidean_accuracy
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value: 60.6
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- type: euclidean_ap
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@@ -434,7 +434,7 @@ model-index:
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- type: euclidean_precision
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value: 45.44539506794162
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- type: euclidean_recall
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-
value: 100
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- type: manhattan_accuracy
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value: 60.650000000000006
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- type: manhattan_ap
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@@ -444,7 +444,7 @@ model-index:
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- type: manhattan_precision
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value: 45.44539506794162
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- type: manhattan_recall
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-
value: 100
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- type: max_accuracy
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value: 60.650000000000006
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- type: max_ap
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@@ -554,7 +554,7 @@ model-index:
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revision: 77f7e271bf4a92b24fce5119f3486b583ca016ff
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metrics:
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- type: map_at_1
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-
value: 69
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- type: map_at_10
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value: 79.906
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- type: map_at_100
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@@ -566,7 +566,7 @@ model-index:
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- type: map_at_5
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value: 79.51700000000001
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- type: mrr_at_1
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-
value: 69
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- type: mrr_at_10
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value: 79.906
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- type: mrr_at_100
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@@ -578,7 +578,7 @@ model-index:
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- type: mrr_at_5
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value: 79.51700000000001
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- type: ndcg_at_1
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-
value: 69
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- type: ndcg_at_10
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value: 84.60499999999999
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- type: ndcg_at_100
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@@ -590,11 +590,11 @@ model-index:
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- type: ndcg_at_5
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value: 83.647
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- type: precision_at_1
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-
value: 69
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- type: precision_at_10
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value: 9.9
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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: 0.1
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- type: precision_at_3
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@@ -602,17 +602,17 @@ model-index:
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- type: precision_at_5
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value: 19.2
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- type: recall_at_1
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-
value: 69
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- type: recall_at_10
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-
value: 99
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- type: recall_at_100
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-
value: 100
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- type: recall_at_1000
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-
value: 100
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- type: recall_at_3
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-
value: 88
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- type: recall_at_5
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-
value: 96
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- task:
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type: Retrieval
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dataset:
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@@ -682,6 +682,9 @@ model-index:
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value: 62.62799999999999
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- type: recall_at_5
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value: 70.975
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---
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# Solon Embeddings — large 0.1
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|
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- type: cos_sim_precision
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value: 45.44539506794162
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- type: cos_sim_recall
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+
value: 100
|
418 |
- type: dot_accuracy
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value: 60.6
|
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- type: dot_ap
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|
|
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- type: dot_precision
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value: 45.44539506794162
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- type: dot_recall
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+
value: 100
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- type: euclidean_accuracy
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value: 60.6
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430 |
- type: euclidean_ap
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|
|
434 |
- type: euclidean_precision
|
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value: 45.44539506794162
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- type: euclidean_recall
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+
value: 100
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- type: manhattan_accuracy
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value: 60.650000000000006
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- type: manhattan_ap
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|
|
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- type: manhattan_precision
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value: 45.44539506794162
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- type: manhattan_recall
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+
value: 100
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- type: max_accuracy
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value: 60.650000000000006
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- type: max_ap
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revision: 77f7e271bf4a92b24fce5119f3486b583ca016ff
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metrics:
|
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- type: map_at_1
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+
value: 69
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558 |
- type: map_at_10
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value: 79.906
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560 |
- type: map_at_100
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- type: map_at_5
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value: 79.51700000000001
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568 |
- type: mrr_at_1
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+
value: 69
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- type: mrr_at_10
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value: 79.906
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- type: mrr_at_100
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|
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- type: mrr_at_5
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value: 79.51700000000001
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- type: ndcg_at_1
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+
value: 69
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- type: ndcg_at_10
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value: 84.60499999999999
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- type: ndcg_at_100
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|
590 |
- type: ndcg_at_5
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value: 83.647
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- type: precision_at_1
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+
value: 69
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594 |
- type: precision_at_10
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value: 9.9
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596 |
- type: precision_at_100
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+
value: 1
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- type: precision_at_1000
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value: 0.1
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- type: precision_at_3
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- type: precision_at_5
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value: 19.2
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- type: recall_at_1
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+
value: 69
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- type: recall_at_10
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+
value: 99
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- type: recall_at_100
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+
value: 100
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610 |
- type: recall_at_1000
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+
value: 100
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- type: recall_at_3
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+
value: 88
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614 |
- type: recall_at_5
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+
value: 96
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- task:
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type: Retrieval
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dataset:
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value: 62.62799999999999
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- type: recall_at_5
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value: 70.975
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+
license: mit
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language:
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- fr
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---
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# Solon Embeddings — large 0.1
|