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istella

  • Description:

The Istella datasets are three large-scale Learning-to-Rank datasets released by Istella. Each dataset consists of query-document pairs represented as feature vectors and corresponding relevance judgment labels.

The dataset contains three versions:

  • main ("Istella LETOR"): Containing 10,454,629 query-document pairs.
  • s ("Istella-S LETOR"): Containing 3,408,630 query-document pairs.
  • x ("Istella-X LETOR"): Containing 26,791,447 query-document pairs.

You can specify whether to use the main, s or x version of the dataset as follows:

ds = tfds.load("istella/main")
ds = tfds.load("istella/s")
ds = tfds.load("istella/x")

If only istella is specified, the istella/main option is selected by default:

# This is the same as `tfds.load("istella/main")`
ds = tfds.load("istella")
FeaturesDict({
    'feature_1': Tensor(shape=(None,), dtype=tf.float64),
    'feature_10': Tensor(shape=(None,), dtype=tf.float64),
    'feature_100': Tensor(shape=(None,), dtype=tf.float64),
    'feature_101': Tensor(shape=(None,), dtype=tf.float64),
    'feature_102': Tensor(shape=(None,), dtype=tf.float64),
    'feature_103': Tensor(shape=(None,), dtype=tf.float64),
    'feature_104': Tensor(shape=(None,), dtype=tf.float64),
    'feature_105': Tensor(shape=(None,), dtype=tf.float64),
    'feature_106': Tensor(shape=(None,), dtype=tf.float64),
    'feature_107': Tensor(shape=(None,), dtype=tf.float64),
    'feature_108': Tensor(shape=(None,), dtype=tf.float64),
    'feature_109': Tensor(shape=(None,), dtype=tf.float64),
    'feature_11': Tensor(shape=(None,), dtype=tf.float64),
    'feature_110': Tensor(shape=(None,), dtype=tf.float64),
    'feature_111': Tensor(shape=(None,), dtype=tf.float64),
    'feature_112': Tensor(shape=(None,), dtype=tf.float64),
    'feature_113': Tensor(shape=(None,), dtype=tf.float64),
    'feature_114': Tensor(shape=(None,), dtype=tf.float64),
    'feature_115': Tensor(shape=(None,), dtype=tf.float64),
    'feature_116': Tensor(shape=(None,), dtype=tf.float64),
    'feature_117': Tensor(shape=(None,), dtype=tf.float64),
    'feature_118': Tensor(shape=(None,), dtype=tf.float64),
    'feature_119': Tensor(shape=(None,), dtype=tf.float64),
    'feature_12': Tensor(shape=(None,), dtype=tf.float64),
    'feature_120': Tensor(shape=(None,), dtype=tf.float64),
    'feature_121': Tensor(shape=(None,), dtype=tf.float64),
    'feature_122': Tensor(shape=(None,), dtype=tf.float64),
    'feature_123': Tensor(shape=(None,), dtype=tf.float64),
    'feature_124': Tensor(shape=(None,), dtype=tf.float64),
    'feature_125': Tensor(shape=(None,), dtype=tf.float64),
    'feature_126': Tensor(shape=(None,), dtype=tf.float64),
    'feature_127': Tensor(shape=(None,), dtype=tf.float64),
    'feature_128': Tensor(shape=(None,), dtype=tf.float64),
    'feature_129': Tensor(shape=(None,), dtype=tf.float64),
    'feature_13': Tensor(shape=(None,), dtype=tf.float64),
    'feature_130': Tensor(shape=(None,), dtype=tf.float64),
    'feature_131': Tensor(shape=(None,), dtype=tf.float64),
    'feature_132': Tensor(shape=(None,), dtype=tf.float64),
    'feature_133': Tensor(shape=(None,), dtype=tf.float64),
    'feature_134': Tensor(shape=(None,), dtype=tf.float64),
    'feature_135': Tensor(shape=(None,), dtype=tf.float64),
    'feature_136': Tensor(shape=(None,), dtype=tf.float64),
    'feature_137': Tensor(shape=(None,), dtype=tf.float64),
    'feature_138': Tensor(shape=(None,), dtype=tf.float64),
    'feature_139': Tensor(shape=(None,), dtype=tf.float64),
    'feature_14': Tensor(shape=(None,), dtype=tf.float64),
    'feature_140': Tensor(shape=(None,), dtype=tf.float64),
    'feature_141': Tensor(shape=(None,), dtype=tf.float64),
    'feature_142': Tensor(shape=(None,), dtype=tf.float64),
    'feature_143': Tensor(shape=(None,), dtype=tf.float64),
    'feature_144': Tensor(shape=(None,), dtype=tf.float64),
    'feature_145': Tensor(shape=(None,), dtype=tf.float64),
    'feature_146': Tensor(shape=(None,), dtype=tf.float64),
    'feature_147': Tensor(shape=(None,), dtype=tf.float64),
    'feature_148': Tensor(shape=(None,), dtype=tf.float64),
    'feature_149': Tensor(shape=(None,), dtype=tf.float64),
    'feature_15': Tensor(shape=(None,), dtype=tf.float64),
    'feature_150': Tensor(shape=(None,), dtype=tf.float64),
    'feature_151': Tensor(shape=(None,), dtype=tf.float64),
    'feature_152': Tensor(shape=(None,), dtype=tf.float64),
    'feature_153': Tensor(shape=(None,), dtype=tf.float64),
    'feature_154': Tensor(shape=(None,), dtype=tf.float64),
    'feature_155': Tensor(shape=(None,), dtype=tf.float64),
    'feature_156': Tensor(shape=(None,), dtype=tf.float64),
    'feature_157': Tensor(shape=(None,), dtype=tf.float64),
    'feature_158': Tensor(shape=(None,), dtype=tf.float64),
    'feature_159': Tensor(shape=(None,), dtype=tf.float64),
    'feature_16': Tensor(shape=(None,), dtype=tf.float64),
    'feature_160': Tensor(shape=(None,), dtype=tf.float64),
    'feature_161': Tensor(shape=(None,), dtype=tf.float64),
    'feature_162': Tensor(shape=(None,), dtype=tf.float64),
    'feature_163': Tensor(shape=(None,), dtype=tf.float64),
    'feature_164': Tensor(shape=(None,), dtype=tf.float64),
    'feature_165': Tensor(shape=(None,), dtype=tf.float64),
    'feature_166': Tensor(shape=(None,), dtype=tf.float64),
    'feature_167': Tensor(shape=(None,), dtype=tf.float64),
    'feature_168': Tensor(shape=(None,), dtype=tf.float64),
    'feature_169': Tensor(shape=(None,), dtype=tf.float64),
    'feature_17': Tensor(shape=(None,), dtype=tf.float64),
    'feature_170': Tensor(shape=(None,), dtype=tf.float64),
    'feature_171': Tensor(shape=(None,), dtype=tf.float64),
    'feature_172': Tensor(shape=(None,), dtype=tf.float64),
    'feature_173': Tensor(shape=(None,), dtype=tf.float64),
    'feature_174': Tensor(shape=(None,), dtype=tf.float64),
    'feature_175': Tensor(shape=(None,), dtype=tf.float64),
    'feature_176': Tensor(shape=(None,), dtype=tf.float64),
    'feature_177': Tensor(shape=(None,), dtype=tf.float64),
    'feature_178': Tensor(shape=(None,), dtype=tf.float64),
    'feature_179': Tensor(shape=(None,), dtype=tf.float64),
    'feature_18': Tensor(shape=(None,), dtype=tf.float64),
    'feature_180': Tensor(shape=(None,), dtype=tf.float64),
    'feature_181': Tensor(shape=(None,), dtype=tf.float64),
    'feature_182': Tensor(shape=(None,), dtype=tf.float64),
    'feature_183': Tensor(shape=(None,), dtype=tf.float64),
    'feature_184': Tensor(shape=(None,), dtype=tf.float64),
    'feature_185': Tensor(shape=(None,), dtype=tf.float64),
    'feature_186': Tensor(shape=(None,), dtype=tf.float64),
    'feature_187': Tensor(shape=(None,), dtype=tf.float64),
    'feature_188': Tensor(shape=(None,), dtype=tf.float64),
    'feature_189': Tensor(shape=(None,), dtype=tf.float64),
    'feature_19': Tensor(shape=(None,), dtype=tf.float64),
    'feature_190': Tensor(shape=(None,), dtype=tf.float64),
    'feature_191': Tensor(shape=(None,), dtype=tf.float64),
    'feature_192': Tensor(shape=(None,), dtype=tf.float64),
    'feature_193': Tensor(shape=(None,), dtype=tf.float64),
    'feature_194': Tensor(shape=(None,), dtype=tf.float64),
    'feature_195': Tensor(shape=(None,), dtype=tf.float64),
    'feature_196': Tensor(shape=(None,), dtype=tf.float64),
    'feature_197': Tensor(shape=(None,), dtype=tf.float64),
    'feature_198': Tensor(shape=(None,), dtype=tf.float64),
    'feature_199': Tensor(shape=(None,), dtype=tf.float64),
    'feature_2': Tensor(shape=(None,), dtype=tf.float64),
    'feature_20': Tensor(shape=(None,), dtype=tf.float64),
    'feature_200': Tensor(shape=(None,), dtype=tf.float64),
    'feature_201': Tensor(shape=(None,), dtype=tf.float64),
    'feature_202': Tensor(shape=(None,), dtype=tf.float64),
    'feature_203': Tensor(shape=(None,), dtype=tf.float64),
    'feature_204': Tensor(shape=(None,), dtype=tf.float64),
    'feature_205': Tensor(shape=(None,), dtype=tf.float64),
    'feature_206': Tensor(shape=(None,), dtype=tf.float64),
    'feature_207': Tensor(shape=(None,), dtype=tf.float64),
    'feature_208': Tensor(shape=(None,), dtype=tf.float64),
    'feature_209': Tensor(shape=(None,), dtype=tf.float64),
    'feature_21': Tensor(shape=(None,), dtype=tf.float64),
    'feature_210': Tensor(shape=(None,), dtype=tf.float64),
    'feature_211': Tensor(shape=(None,), dtype=tf.float64),
    'feature_212': Tensor(shape=(None,), dtype=tf.float64),
    'feature_213': Tensor(shape=(None,), dtype=tf.float64),
    'feature_214': Tensor(shape=(None,), dtype=tf.float64),
    'feature_215': Tensor(shape=(None,), dtype=tf.float64),
    'feature_216': Tensor(shape=(None,), dtype=tf.float64),
    'feature_217': Tensor(shape=(None,), dtype=tf.float64),
    'feature_218': Tensor(shape=(None,), dtype=tf.float64),
    'feature_219': Tensor(shape=(None,), dtype=tf.float64),
    'feature_22': Tensor(shape=(None,), dtype=tf.float64),
    'feature_220': Tensor(shape=(None,), dtype=tf.float64),
    'feature_23': Tensor(shape=(None,), dtype=tf.float64),
    'feature_24': Tensor(shape=(None,), dtype=tf.float64),
    'feature_25': Tensor(shape=(None,), dtype=tf.float64),
    'feature_26': Tensor(shape=(None,), dtype=tf.float64),
    'feature_27': Tensor(shape=(None,), dtype=tf.float64),
    'feature_28': Tensor(shape=(None,), dtype=tf.float64),
    'feature_29': Tensor(shape=(None,), dtype=tf.float64),
    'feature_3': Tensor(shape=(None,), dtype=tf.float64),
    'feature_30': Tensor(shape=(None,), dtype=tf.float64),
    'feature_31': Tensor(shape=(None,), dtype=tf.float64),
    'feature_32': Tensor(shape=(None,), dtype=tf.float64),
    'feature_33': Tensor(shape=(None,), dtype=tf.float64),
    'feature_34': Tensor(shape=(None,), dtype=tf.float64),
    'feature_35': Tensor(shape=(None,), dtype=tf.float64),
    'feature_36': Tensor(shape=(None,), dtype=tf.float64),
    'feature_37': Tensor(shape=(None,), dtype=tf.float64),
    'feature_38': Tensor(shape=(None,), dtype=tf.float64),
    'feature_39': Tensor(shape=(None,), dtype=tf.float64),
    'feature_4': Tensor(shape=(None,), dtype=tf.float64),
    'feature_40': Tensor(shape=(None,), dtype=tf.float64),
    'feature_41': Tensor(shape=(None,), dtype=tf.float64),
    'feature_42': Tensor(shape=(None,), dtype=tf.float64),
    'feature_43': Tensor(shape=(None,), dtype=tf.float64),
    'feature_44': Tensor(shape=(None,), dtype=tf.float64),
    'feature_45': Tensor(shape=(None,), dtype=tf.float64),
    'feature_46': Tensor(shape=(None,), dtype=tf.float64),
    'feature_47': Tensor(shape=(None,), dtype=tf.float64),
    'feature_48': Tensor(shape=(None,), dtype=tf.float64),
    'feature_49': Tensor(shape=(None,), dtype=tf.float64),
    'feature_5': Tensor(shape=(None,), dtype=tf.float64),
    'feature_50': Tensor(shape=(None,), dtype=tf.float64),
    'feature_51': Tensor(shape=(None,), dtype=tf.float64),
    'feature_52': Tensor(shape=(None,), dtype=tf.float64),
    'feature_53': Tensor(shape=(None,), dtype=tf.float64),
    'feature_54': Tensor(shape=(None,), dtype=tf.float64),
    'feature_55': Tensor(shape=(None,), dtype=tf.float64),
    'feature_56': Tensor(shape=(None,), dtype=tf.float64),
    'feature_57': Tensor(shape=(None,), dtype=tf.float64),
    'feature_58': Tensor(shape=(None,), dtype=tf.float64),
    'feature_59': Tensor(shape=(None,), dtype=tf.float64),
    'feature_6': Tensor(shape=(None,), dtype=tf.float64),
    'feature_60': Tensor(shape=(None,), dtype=tf.float64),
    'feature_61': Tensor(shape=(None,), dtype=tf.float64),
    'feature_62': Tensor(shape=(None,), dtype=tf.float64),
    'feature_63': Tensor(shape=(None,), dtype=tf.float64),
    'feature_64': Tensor(shape=(None,), dtype=tf.float64),
    'feature_65': Tensor(shape=(None,), dtype=tf.float64),
    'feature_66': Tensor(shape=(None,), dtype=tf.float64),
    'feature_67': Tensor(shape=(None,), dtype=tf.float64),
    'feature_68': Tensor(shape=(None,), dtype=tf.float64),
    'feature_69': Tensor(shape=(None,), dtype=tf.float64),
    'feature_7': Tensor(shape=(None,), dtype=tf.float64),
    'feature_70': Tensor(shape=(None,), dtype=tf.float64),
    'feature_71': Tensor(shape=(None,), dtype=tf.float64),
    'feature_72': Tensor(shape=(None,), dtype=tf.float64),
    'feature_73': Tensor(shape=(None,), dtype=tf.float64),
    'feature_74': Tensor(shape=(None,), dtype=tf.float64),
    'feature_75': Tensor(shape=(None,), dtype=tf.float64),
    'feature_76': Tensor(shape=(None,), dtype=tf.float64),
    'feature_77': Tensor(shape=(None,), dtype=tf.float64),
    'feature_78': Tensor(shape=(None,), dtype=tf.float64),
    'feature_79': Tensor(shape=(None,), dtype=tf.float64),
    'feature_8': Tensor(shape=(None,), dtype=tf.float64),
    'feature_80': Tensor(shape=(None,), dtype=tf.float64),
    'feature_81': Tensor(shape=(None,), dtype=tf.float64),
    'feature_82': Tensor(shape=(None,), dtype=tf.float64),
    'feature_83': Tensor(shape=(None,), dtype=tf.float64),
    'feature_84': Tensor(shape=(None,), dtype=tf.float64),
    'feature_85': Tensor(shape=(None,), dtype=tf.float64),
    'feature_86': Tensor(shape=(None,), dtype=tf.float64),
    'feature_87': Tensor(shape=(None,), dtype=tf.float64),
    'feature_88': Tensor(shape=(None,), dtype=tf.float64),
    'feature_89': Tensor(shape=(None,), dtype=tf.float64),
    'feature_9': Tensor(shape=(None,), dtype=tf.float64),
    'feature_90': Tensor(shape=(None,), dtype=tf.float64),
    'feature_91': Tensor(shape=(None,), dtype=tf.float64),
    'feature_92': Tensor(shape=(None,), dtype=tf.float64),
    'feature_93': Tensor(shape=(None,), dtype=tf.float64),
    'feature_94': Tensor(shape=(None,), dtype=tf.float64),
    'feature_95': Tensor(shape=(None,), dtype=tf.float64),
    'feature_96': Tensor(shape=(None,), dtype=tf.float64),
    'feature_97': Tensor(shape=(None,), dtype=tf.float64),
    'feature_98': Tensor(shape=(None,), dtype=tf.float64),
    'feature_99': Tensor(shape=(None,), dtype=tf.float64),
    'label': Tensor(shape=(None,), dtype=tf.float64),
})
  • Feature documentation:
Feature Class Shape Dtype Description
FeaturesDict
feature_1 Tensor (None,) tf.float64
feature_10 Tensor (None,) tf.float64
feature_100 Tensor (None,) tf.float64
feature_101 Tensor (None,) tf.float64
feature_102 Tensor (None,) tf.float64
feature_103 Tensor (None,) tf.float64
feature_104 Tensor (None,) tf.float64
feature_105 Tensor (None,) tf.float64
feature_106 Tensor (None,) tf.float64
feature_107 Tensor (None,) tf.float64
feature_108 Tensor (None,) tf.float64
feature_109 Tensor (None,) tf.float64
feature_11 Tensor (None,) tf.float64
feature_110 Tensor (None,) tf.float64
feature_111 Tensor (None,) tf.float64
feature_112 Tensor (None,) tf.float64
feature_113 Tensor (None,) tf.float64
feature_114 Tensor (None,) tf.float64
feature_115 Tensor (None,) tf.float64
feature_116 Tensor (None,) tf.float64
feature_117 Tensor (None,) tf.float64
feature_118 Tensor (None,) tf.float64
feature_119 Tensor (None,) tf.float64
feature_12 Tensor (None,) tf.float64
feature_120 Tensor (None,) tf.float64
feature_121 Tensor (None,) tf.float64
feature_122 Tensor (None,) tf.float64
feature_123 Tensor (None,) tf.float64
feature_124 Tensor (None,) tf.float64
feature_125 Tensor (None,) tf.float64
feature_126 Tensor (None,) tf.float64
feature_127 Tensor (None,) tf.float64
feature_128 Tensor (None,) tf.float64
feature_129 Tensor (None,) tf.float64
feature_13 Tensor (None,) tf.float64
feature_130 Tensor (None,) tf.float64
feature_131 Tensor (None,) tf.float64
feature_132 Tensor (None,) tf.float64
feature_133 Tensor (None,) tf.float64
feature_134 Tensor (None,) tf.float64
feature_135 Tensor (None,) tf.float64
feature_136 Tensor (None,) tf.float64
feature_137 Tensor (None,) tf.float64
feature_138 Tensor (None,) tf.float64
feature_139 Tensor (None,) tf.float64
feature_14 Tensor (None,) tf.float64
feature_140 Tensor (None,) tf.float64
feature_141 Tensor (None,) tf.float64
feature_142 Tensor (None,) tf.float64
feature_143 Tensor (None,) tf.float64
feature_144 Tensor (None,) tf.float64
feature_145 Tensor (None,) tf.float64
feature_146 Tensor (None,) tf.float64
feature_147 Tensor (None,) tf.float64
feature_148 Tensor (None,) tf.float64
feature_149 Tensor (None,) tf.float64
feature_15 Tensor (None,) tf.float64
feature_150 Tensor (None,) tf.float64
feature_151 Tensor (None,) tf.float64
feature_152 Tensor (None,) tf.float64
feature_153 Tensor (None,) tf.float64
feature_154 Tensor (None,) tf.float64
feature_155 Tensor (None,) tf.float64
feature_156 Tensor (None,) tf.float64
feature_157 Tensor (None,) tf.float64
feature_158 Tensor (None,) tf.float64
feature_159 Tensor (None,) tf.float64
feature_16 Tensor (None,) tf.float64
feature_160 Tensor (None,) tf.float64
feature_161 Tensor (None,) tf.float64
feature_162 Tensor (None,) tf.float64
feature_163 Tensor (None,) tf.float64
feature_164 Tensor (None,) tf.float64
feature_165 Tensor (None,) tf.float64
feature_166 Tensor (None,) tf.float64
feature_167 Tensor (None,) tf.float64
feature_168 Tensor (None,) tf.float64
feature_169 Tensor (None,) tf.float64
feature_17 Tensor (None,) tf.float64
feature_170 Tensor (None,) tf.float64
feature_171 Tensor (None,) tf.float64
feature_172 Tensor (None,) tf.float64
feature_173 Tensor (None,) tf.float64
feature_174 Tensor (None,) tf.float64
feature_175 Tensor (None,) tf.float64
feature_176 Tensor (None,) tf.float64
feature_177 Tensor (None,) tf.float64
feature_178 Tensor (None,) tf.float64
feature_179 Tensor (None,) tf.float64
feature_18 Tensor (None,) tf.float64
feature_180 Tensor (None,) tf.float64
feature_181 Tensor (None,) tf.float64
feature_182 Tensor (None,) tf.float64
feature_183 Tensor (None,) tf.float64
feature_184 Tensor (None,) tf.float64
feature_185 Tensor (None,) tf.float64
feature_186 Tensor (None,) tf.float64
feature_187 Tensor (None,) tf.float64
feature_188 Tensor (None,) tf.float64
feature_189 Tensor (None,) tf.float64
feature_19 Tensor (None,) tf.float64
feature_190 Tensor (None,) tf.float64
feature_191 Tensor (None,) tf.float64
feature_192 Tensor (None,) tf.float64
feature_193 Tensor (None,) tf.float64
feature_194 Tensor (None,) tf.float64
feature_195 Tensor (None,) tf.float64
feature_196 Tensor (None,) tf.float64
feature_197 Tensor (None,) tf.float64
feature_198 Tensor (None,) tf.float64
feature_199 Tensor (None,) tf.float64
feature_2 Tensor (None,) tf.float64
feature_20 Tensor (None,) tf.float64
feature_200 Tensor (None,) tf.float64
feature_201 Tensor (None,) tf.float64
feature_202 Tensor (None,) tf.float64
feature_203 Tensor (None,) tf.float64
feature_204 Tensor (None,) tf.float64
feature_205 Tensor (None,) tf.float64
feature_206 Tensor (None,) tf.float64
feature_207 Tensor (None,) tf.float64
feature_208 Tensor (None,) tf.float64
feature_209 Tensor (None,) tf.float64
feature_21 Tensor (None,) tf.float64
feature_210 Tensor (None,) tf.float64
feature_211 Tensor (None,) tf.float64
feature_212 Tensor (None,) tf.float64
feature_213 Tensor (None,) tf.float64
feature_214 Tensor (None,) tf.float64
feature_215 Tensor (None,) tf.float64
feature_216 Tensor (None,) tf.float64
feature_217 Tensor (None,) tf.float64
feature_218 Tensor (None,) tf.float64
feature_219 Tensor (None,) tf.float64
feature_22 Tensor (None,) tf.float64
feature_220 Tensor (None,) tf.float64
feature_23 Tensor (None,) tf.float64
feature_24 Tensor (None,) tf.float64
feature_25 Tensor (None,) tf.float64
feature_26 Tensor (None,) tf.float64
feature_27 Tensor (None,) tf.float64
feature_28 Tensor (None,) tf.float64
feature_29 Tensor (None,) tf.float64
feature_3 Tensor (None,) tf.float64
feature_30 Tensor (None,) tf.float64
feature_31 Tensor (None,) tf.float64
feature_32 Tensor (None,) tf.float64
feature_33 Tensor (None,) tf.float64
feature_34 Tensor (None,) tf.float64
feature_35 Tensor (None,) tf.float64
feature_36 Tensor (None,) tf.float64
feature_37 Tensor (None,) tf.float64
feature_38 Tensor (None,) tf.float64
feature_39 Tensor (None,) tf.float64
feature_4 Tensor (None,) tf.float64
feature_40 Tensor (None,) tf.float64
feature_41 Tensor (None,) tf.float64
feature_42 Tensor (None,) tf.float64
feature_43 Tensor (None,) tf.float64
feature_44 Tensor (None,) tf.float64
feature_45 Tensor (None,) tf.float64
feature_46 Tensor (None,) tf.float64
feature_47 Tensor (None,) tf.float64
feature_48 Tensor (None,) tf.float64
feature_49 Tensor (None,) tf.float64
feature_5 Tensor (None,) tf.float64
feature_50 Tensor (None,) tf.float64
feature_51 Tensor (None,) tf.float64
feature_52 Tensor (None,) tf.float64
feature_53 Tensor (None,) tf.float64
feature_54 Tensor (None,) tf.float64
feature_55 Tensor (None,) tf.float64
feature_56 Tensor (None,) tf.float64
feature_57 Tensor (None,) tf.float64
feature_58 Tensor (None,) tf.float64
feature_59 Tensor (None,) tf.float64
feature_6 Tensor (None,) tf.float64
feature_60 Tensor (None,) tf.float64
feature_61 Tensor (None,) tf.float64
feature_62 Tensor (None,) tf.float64
feature_63 Tensor (None,) tf.float64
feature_64 Tensor (None,) tf.float64
feature_65 Tensor (None,) tf.float64
feature_66 Tensor (None,) tf.float64
feature_67 Tensor (None,) tf.float64
feature_68 Tensor (None,) tf.float64
feature_69 Tensor (None,) tf.float64
feature_7 Tensor (None,) tf.float64
feature_70 Tensor (None,) tf.float64
feature_71 Tensor (None,) tf.float64
feature_72 Tensor (None,) tf.float64
feature_73 Tensor (None,) tf.float64
feature_74 Tensor (None,) tf.float64
feature_75 Tensor (None,) tf.float64
feature_76 Tensor (None,) tf.float64
feature_77 Tensor (None,) tf.float64
feature_78 Tensor (None,) tf.float64
feature_79 Tensor (None,) tf.float64
feature_8 Tensor (None,) tf.float64
feature_80 Tensor (None,) tf.float64
feature_81 Tensor (None,) tf.float64
feature_82 Tensor (None,) tf.float64
feature_83 Tensor (None,) tf.float64
feature_84 Tensor (None,) tf.float64
feature_85 Tensor (None,) tf.float64
feature_86 Tensor (None,) tf.float64
feature_87 Tensor (None,) tf.float64
feature_88 Tensor (None,) tf.float64
feature_89 Tensor (None,) tf.float64
feature_9 Tensor (None,) tf.float64
feature_90 Tensor (None,) tf.float64
feature_91 Tensor (None,) tf.float64
feature_92 Tensor (None,) tf.float64
feature_93 Tensor (None,) tf.float64
feature_94 Tensor (None,) tf.float64
feature_95 Tensor (None,) tf.float64
feature_96 Tensor (None,) tf.float64
feature_97 Tensor (None,) tf.float64
feature_98 Tensor (None,) tf.float64
feature_99 Tensor (None,) tf.float64
label Tensor (None,) tf.float64
@article{10.1145/2987380,
  author = {Dato, Domenico and Lucchese, Claudio and Nardini, Franco Maria and Orlando, Salvatore and Perego, Raffaele and Tonellotto, Nicola and Venturini, Rossano},
  title = {Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees},
  year = {2016},
  publisher = {ACM},
  address = {New York, NY, USA},
  volume = {35},
  number = {2},
  issn = {1046-8188},
  url = {https://doi.org/10.1145/2987380},
  doi = {10.1145/2987380},
  journal = {ACM Transactions on Information Systems},
  articleno = {15},
  numpages = {31},
}

istella/main (default config)

  • Download size: 1.20 GiB

  • Dataset size: 1.40 GiB

  • Splits:

Split Examples
'test' 9,799
'train' 23,219

istella/s

  • Download size: 450.26 MiB

  • Dataset size: 728.40 MiB

  • Splits:

Split Examples
'test' 6,562
'train' 19,245
'vali' 7,211

istella/x

  • Download size: 4.42 GiB

  • Dataset size: 2.06 GiB

  • Splits:

Split Examples
'test' 2,000
'train' 6,000
'vali' 2,000