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1270
  - task:
1271
- type: Clustering
1272
  dataset:
1273
- type: mteb/reddit-clustering
1274
- name: MTEB RedditClustering
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1275
  config: default
1276
  split: test
1277
  revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
@@ -1293,6 +2025,274 @@ model-index:
1293
  value: 51.444598402601414
1294
  - type: v_measures
1295
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1296
  - task:
1297
  type: Reranking
1298
  dataset:
@@ -1306,6 +2306,85 @@ model-index:
1306
  value: 77.89395841192561
1307
  - type: mrr
1308
  value: 93.39039319431475
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1309
  - task:
1310
  type: PairClassification
1311
  dataset:
@@ -1400,6 +2479,181 @@ model-index:
1400
  value: 46.78149995864765
1401
  - type: mrr
1402
  value: 47.45282393260334
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1403
  - task:
1404
  type: Classification
1405
  dataset:
 
174
  value: 57.489775602270086
175
  - type: mrr
176
  value: 71.4973838104032
177
+ - task:
178
+ type: STS
179
+ dataset:
180
+ type: mteb/biosses-sts
181
+ name: MTEB BIOSSES
182
+ config: default
183
+ split: test
184
+ revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
185
+ metrics:
186
+ - type: cos_sim_pearson
187
+ value: 85.81314286759594
188
+ - type: cos_sim_spearman
189
+ value: 85.04832342591277
190
+ - type: euclidean_pearson
191
+ value: 84.20540608390993
192
+ - type: euclidean_spearman
193
+ value: 84.54831203281398
194
+ - type: manhattan_pearson
195
+ value: 84.11283044138868
196
+ - type: manhattan_spearman
197
+ value: 84.13384475757064
198
  - task:
199
  type: Classification
200
  dataset:
 
1182
  value: 17.197000000000003
1183
  - type: recall_at_5
1184
  value: 21.701
1185
+ - task:
1186
+ type: Retrieval
1187
+ dataset:
1188
+ type: mteb/climate-fever
1189
+ name: MTEB ClimateFEVER
1190
+ config: default
1191
+ split: test
1192
+ revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
1193
+ metrics:
1194
+ - type: map_at_1
1195
+ value: 7.172000000000001
1196
+ - type: map_at_10
1197
+ value: 11.935
1198
+ - type: map_at_100
1199
+ value: 13.305
1200
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1765
  - task:
1766
+ type: Retrieval
1767
  dataset:
1768
+ type: mteb/nfcorpus
1769
+ name: MTEB NFCorpus
1770
+ config: default
1771
+ split: test
1772
+ revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
1773
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1774
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1775
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1776
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1777
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1778
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1779
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1780
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1781
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1782
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1783
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1784
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1785
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1786
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1787
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1788
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1789
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1790
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1791
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1792
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1793
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1794
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1795
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1796
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1797
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1798
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1799
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1800
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1801
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1802
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1803
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1804
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1805
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1806
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1807
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1809
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1810
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1811
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1812
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1813
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1814
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1815
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1816
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1817
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1818
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1819
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1820
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1821
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1823
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1825
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1826
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1827
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1828
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1829
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1830
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1831
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1832
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1833
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1834
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1835
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1836
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1837
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1838
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1839
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1840
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1841
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1842
+ - type: recall_at_5
1843
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1844
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1845
+ type: Retrieval
1846
+ dataset:
1847
+ type: mteb/nq
1848
+ name: MTEB NQ
1849
+ config: default
1850
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1851
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1852
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1853
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1854
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1855
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1856
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1857
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1858
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1859
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1860
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1861
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1862
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1863
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1864
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1865
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1866
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1867
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1868
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1869
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1870
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1871
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1872
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1873
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1874
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1875
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1876
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1877
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1878
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1879
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1880
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1881
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1882
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1884
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1885
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1886
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1887
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1888
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1889
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1890
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1891
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1892
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1893
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1894
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1895
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1896
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1897
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1898
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1899
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1900
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1901
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1902
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1903
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1904
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1905
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1906
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1907
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1908
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1909
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1910
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1911
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1912
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1913
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1914
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1915
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1916
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1917
+ - type: recall_at_20
1918
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1919
+ - type: recall_at_3
1920
+ value: 30.791
1921
+ - type: recall_at_5
1922
+ value: 39.091
1923
+ - task:
1924
+ type: Retrieval
1925
+ dataset:
1926
+ type: mteb/quora
1927
+ name: MTEB QuoraRetrieval
1928
+ config: default
1929
+ split: test
1930
+ revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
1931
+ metrics:
1932
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1933
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1934
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1935
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1936
+ - type: map_at_100
1937
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1938
+ - type: map_at_1000
1939
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1940
+ - type: map_at_20
1941
+ value: 81.486
1942
+ - type: map_at_3
1943
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1944
+ - type: map_at_5
1945
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1946
+ - type: mrr_at_1
1947
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1948
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1949
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1950
+ - type: mrr_at_100
1951
+ value: 84.722
1952
+ - type: mrr_at_1000
1953
+ value: 84.724
1954
+ - type: mrr_at_20
1955
+ value: 84.684
1956
+ - type: mrr_at_3
1957
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1958
+ - type: mrr_at_5
1959
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1960
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1961
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1962
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1963
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1964
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1965
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1966
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1967
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1968
+ - type: ndcg_at_20
1969
+ value: 86.12100000000001
1970
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1971
+ value: 81.974
1972
+ - type: ndcg_at_5
1973
+ value: 83.813
1974
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1975
+ value: 77.66999999999999
1976
+ - type: precision_at_10
1977
+ value: 12.931000000000001
1978
+ - type: precision_at_100
1979
+ value: 1.5
1980
+ - type: precision_at_1000
1981
+ value: 0.156
1982
+ - type: precision_at_20
1983
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1984
+ - type: precision_at_3
1985
+ value: 35.730000000000004
1986
+ - type: precision_at_5
1987
+ value: 23.642
1988
+ - type: recall_at_1
1989
+ value: 67.465
1990
+ - type: recall_at_10
1991
+ value: 93.581
1992
+ - type: recall_at_100
1993
+ value: 98.91499999999999
1994
+ - type: recall_at_1000
1995
+ value: 99.90599999999999
1996
+ - type: recall_at_20
1997
+ value: 96.221
1998
+ - type: recall_at_3
1999
+ value: 84.071
2000
+ - type: recall_at_5
2001
+ value: 89.14999999999999
2002
+ - task:
2003
+ type: Clustering
2004
+ dataset:
2005
+ type: mteb/reddit-clustering
2006
+ name: MTEB RedditClustering
2007
  config: default
2008
  split: test
2009
  revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
 
2025
  value: 51.444598402601414
2026
  - type: v_measures
2027
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2032
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2306
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+ value: 33.751
2605
+ - type: mrr_at_100
2606
+ value: 35.544
2607
+ - type: mrr_at_1000
2608
+ value: 35.544
2609
+ - type: mrr_at_20
2610
+ value: 34.926
2611
+ - type: mrr_at_3
2612
+ value: 29.252
2613
+ - type: mrr_at_5
2614
+ value: 31.905
2615
+ - type: ndcg_at_1
2616
+ value: 22.448999999999998
2617
+ - type: ndcg_at_10
2618
+ value: 16.303
2619
+ - type: ndcg_at_100
2620
+ value: 27.165
2621
+ - type: ndcg_at_1000
2622
+ value: 39.736
2623
+ - type: ndcg_at_20
2624
+ value: 18.340999999999998
2625
+ - type: ndcg_at_3
2626
+ value: 15.137999999999998
2627
+ - type: ndcg_at_5
2628
+ value: 16.332
2629
+ - type: precision_at_1
2630
+ value: 24.490000000000002
2631
+ - type: precision_at_10
2632
+ value: 15.714
2633
+ - type: precision_at_100
2634
+ value: 6.184
2635
+ - type: precision_at_1000
2636
+ value: 1.439
2637
+ - type: precision_at_20
2638
+ value: 13.163
2639
+ - type: precision_at_3
2640
+ value: 15.645999999999999
2641
+ - type: precision_at_5
2642
+ value: 17.551
2643
+ - type: recall_at_1
2644
+ value: 1.897
2645
+ - type: recall_at_10
2646
+ value: 11.938
2647
+ - type: recall_at_100
2648
+ value: 39.249
2649
+ - type: recall_at_1000
2650
+ value: 78.121
2651
+ - type: recall_at_20
2652
+ value: 19.244
2653
+ - type: recall_at_3
2654
+ value: 3.5409999999999995
2655
+ - type: recall_at_5
2656
+ value: 6.297999999999999
2657
  - task:
2658
  type: Classification
2659
  dataset: