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@@ -57,3 +57,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+infoseek/k100/val_metrics/flmr.json filter=lfs diff=lfs merge=lfs -text
+infoseek/k100/val_metrics/flmr_qid.json filter=lfs diff=lfs merge=lfs -text
+infoseek/k100/val_metrics/qnonrels.json filter=lfs diff=lfs merge=lfs -text
+infoseek/k100/val_metrics/qrels.json filter=lfs diff=lfs merge=lfs -text
+infoseek/val_metrics/flmr.json filter=lfs diff=lfs merge=lfs -text

infoseek/config.json

@@ -0,0 +1,24 @@
+{
+    "kb_kwargs": {
+        "../datasets/infoseek/embeddings/flmr/passages": {
+            "dataset_embeddings": "../datasets/infoseek/embeddings/flmr/",
+            "index_kwargs": {
+                "flmr": {
+                    "column": "flmr_embedding",
+                    "kind": 0,
+                    "key": "flmr_embedding",
+                    "string_factory": "L2norm,Flat",
+                    "load": false,
+                    "device": null,
+                    "metric_type": 0
+                }
+            }
+        }
+    },
+    "reference_kb_path": "../datasets/infoseek/passages",
+    "map_kwargs": {
+        "batch_size": 256,
+        "desc": "searching"
+    },
+    "format": {}
+}

infoseek/k100/val_metrics/flmr.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d40889290db52934dffdb6625a0e1edcfbf8cf92896b656a582ccc17b761d32b
+size 171066771

infoseek/k100/val_metrics/flmr_qid.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2d84bddfec1cf76ad917a36c06625535fc0663bf4416bdebbf829a65c6dc3572
+size 201936121

infoseek/k100/val_metrics/metrics.json

@@ -0,0 +1,24 @@
+{
+    "stat_test": "fisher",
+    "metrics": [
+        "mrr@100",
+        "precision@1",
+        "precision@5",
+        "hit_rate@20",
+        "recall@5"
+    ],
+    "model_names": [
+        "flmr"
+    ],
+    "flmr": {
+        "scores": {
+            "mrr@100": 0.1974193112613111,
+            "precision@1": 0.10131750871080139,
+            "precision@5": 0.09543771777003485,
+            "hit_rate@20": 0.5188779398954704,
+            "recall@5": 0.06110730912166584
+        },
+        "comparisons": {},
+        "win_tie_loss": {}
+    }
+}

infoseek/k100/val_metrics/metrics.tex

@@ -0,0 +1,38 @@
+========================
+% Add in preamble
+\usepackage{graphicx}
+\usepackage{booktabs}
+========================
+
+
+% To change the table size, act on the resizebox argument `0.8`.
+\begin{table*}[ht]
+\centering
+\caption{
+Overall effectiveness of the models.
+The best results are highlighted in boldface.
+Superscripts denote significant differences in Fisher's randomization test with $p \le 0.01$.
+}
+\resizebox{0.8\textwidth}{!}{
+\begin{tabular}{c|c|c|c|c|c|c}
+\toprule
+\textbf{\#}
+& \textbf{Model}
+& \textbf{MRR@100}
+& \textbf{P@1}
+& \textbf{P@5}
+& \textbf{Hit_Rate@20}
+& \textbf{Recall@5} \\ 
+\midrule
+a &
+flmr &
+\textbf{0.197}\hphantom{} &
+\textbf{0.101}\hphantom{} &
+\textbf{0.095}\hphantom{} &
+\textbf{0.519}\hphantom{} &
+\textbf{0.061}\hphantom{} \\
+\bottomrule
+\end{tabular}
+}
+\label{tab:results}
+\end{table*}

infoseek/k100/val_metrics/qnonrels.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:746763bcb555b36d8e9081b1cb49a0bfe64165703e7287436b7920ec12a51b8f
+size 88022748

infoseek/k100/val_metrics/qrels.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fad17b37c29d529028f76342c367825156f5d179d78a3259f13ee167a72ae3c1
+size 13570232

infoseek/val_metrics/flmr.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:919ee10766c099b23a83d5deea3b39189710e6e089359179f5fd490b1f407fb5
+size 12540692

infoseek/val_metrics/metrics.json

@@ -0,0 +1,26 @@
+{
+    "stat_test": "fisher",
+    "metrics": [
+        "mrr@100",
+        "precision@1",
+        "precision@5",
+        "precision@20",
+        "hit_rate@20",
+        "recall@5"
+    ],
+    "model_names": [
+        "flmr"
+    ],
+    "flmr": {
+        "scores": {
+            "mrr@100": 0.16924542682926827,
+            "precision@1": 0.10080030487804878,
+            "precision@5": 0.09544043989547038,
+            "precision@20": 0.023860109973867595,
+            "hit_rate@20": 0.29554115853658536,
+            "recall@5": 0.29554115853658536
+        },
+        "comparisons": {},
+        "win_tie_loss": {}
+    }
+}

infoseek/val_metrics/metrics.tex

@@ -0,0 +1,40 @@
+========================
+% Add in preamble
+\usepackage{graphicx}
+\usepackage{booktabs}
+========================
+
+
+% To change the table size, act on the resizebox argument `0.8`.
+\begin{table*}[ht]
+\centering
+\caption{
+Overall effectiveness of the models.
+The best results are highlighted in boldface.
+Superscripts denote significant differences in Fisher's randomization test with $p \le 0.01$.
+}
+\resizebox{0.8\textwidth}{!}{
+\begin{tabular}{c|c|c|c|c|c|c|c}
+\toprule
+\textbf{\#}
+& \textbf{Model}
+& \textbf{MRR@100}
+& \textbf{P@1}
+& \textbf{P@5}
+& \textbf{P@20}
+& \textbf{Hit_Rate@20}
+& \textbf{Recall@5} \\ 
+\midrule
+a &
+flmr &
+\textbf{0.169}\hphantom{} &
+\textbf{0.101}\hphantom{} &
+\textbf{0.095}\hphantom{} &
+\textbf{0.024}\hphantom{} &
+\textbf{0.296}\hphantom{} &
+\textbf{0.296}\hphantom{} \\
+\bottomrule
+\end{tabular}
+}
+\label{tab:results}
+\end{table*}