Datasets:
RLP-ETH
/
RobotLearningData_v2

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float32
0
59.8
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int64
0
1.8k
episode_index
int64
0
366
index
int64
0
58.7k
task_index
int64
0
28
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2.4
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2.5
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2.6
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2.7
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2.733333
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2.8
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2.833333
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2.866667
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2.9
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2.933333
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2.966667
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3
90
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3.033333
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3.066667
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3.1
93
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3.133333
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3.166667
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3.2
96
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3.233333
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3.266667
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3.3
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3.333333
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3.366667
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3.4
102
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3.433333
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3.466667
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3.5
105
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3.533333
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3.566667
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3.6
108
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3.633333
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3.666667
110
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3.7
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3.733333
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3.766667
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3.8
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3.833333
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3.866667
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3.9
117
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3.933333
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3.966667
119
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4
120
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4.033333
121
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17,850
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4.066667
122
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4.1
123
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4.133333
124
117
17,853
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4.166667
125
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17,854
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4.2
126
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17,855
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4.233333
127
117
17,856
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[ 14.15384578704834, 23.736263275146484, -10.769230842590332, 90.63735961914062, 0.21978022158145905, 97.8138198852539 ]
4.266667
128
117
17,857
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[ 14.15384578704834, 23.736263275146484, -10.769230842590332, 90.63735961914062, 0.21978022158145905, 97.8138198852539 ]
4.3
129
117
17,858
4
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4.333333
130
117
17,859
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4.366667
131
117
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[ 14.15384578704834, 23.736263275146484, -10.769230842590332, 90.63735961914062, 0.21978022158145905, 97.8138198852539 ]
4.4
132
117
17,861
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[ 14.593406677246094, 23.648351669311523, -14.241758346557617, 89.80220031738281, 0.1318681389093399, 98.1371078491211 ]
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4.433333
133
117
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4.466667
134
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4.5
135
117
17,864
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[ 14.593406677246094, 26.19780158996582, -14.15384578704834, 89.80220031738281, -0.1318681389093399, 98.1371078491211 ]
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4.533333
136
117
17,865
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4.566667
137
117
17,866
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4.6
138
117
17,867
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[ 14.593406677246094, 28.395605087280273, -14.593406677246094, 89.80220031738281, -0.1318681389093399, 98.1371078491211 ]
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4.633333
139
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17,868
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4.666667
140
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4.7
141
117
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4.733333
142
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4.766667
143
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4.8
144
117
17,873
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[ 14.593406677246094, 29.098901748657227, -14.593406677246094, 89.80220031738281, -0.1318681389093399, 98.1371078491211 ]
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4.833333
145
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4.866667
146
117
17,875
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[ 14.593406677246094, 29.098901748657227, -14.593406677246094, 89.80220031738281, -0.1318681389093399, 98.1371078491211 ]
[ 14.241758346557617, 30.681318283081055, -10.769230842590332, 90.54945373535156, 0.21978022158145905, 97.8138198852539 ]
4.9
147
117
17,876
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[ 14.593406677246094, 29.098901748657227, -14.593406677246094, 89.80220031738281, -0.1318681389093399, 98.1371078491211 ]
[ 14.241758346557617, 30.769229888916016, -10.769230842590332, 90.54945373535156, 0.21978022158145905, 97.8138198852539 ]
4.933333
148
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17,877
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4.966667
149
117
17,878
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[ 14.241758346557617, 30.769229888916016, -10.769230842590332, 90.54945373535156, 0.21978022158145905, 97.8138198852539 ]
5
150
117
17,879
4
[ 14.593406677246094, 29.186813354492188, -14.593406677246094, 89.80220031738281, -0.1318681389093399, 98.1371078491211 ]
[ 14.241758346557617, 30.769229888916016, -10.769230842590332, 90.54945373535156, 0.21978022158145905, 97.8138198852539 ]
5.033333
151
117
17,880
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[ 14.593406677246094, 29.186813354492188, -14.505494117736816, 89.80220031738281, -0.1318681389093399, 98.1371078491211 ]
[ 14.241758346557617, 30.769229888916016, -10.769230842590332, 90.54945373535156, 0.21978022158145905, 97.8138198852539 ]
5.066667
152
117
17,881
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5.1
153
117
17,882
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[ 14.593406677246094, 29.186813354492188, -14.241758346557617, 89.80220031738281, -0.1318681389093399, 98.1371078491211 ]
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5.133333
154
117
17,883
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5.166667
155
117
17,884
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5.2
156
117
17,885
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[ 14.593406677246094, 29.27472496032715, -14.15384578704834, 89.80220031738281, -0.1318681389093399, 98.1371078491211 ]
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5.233333
157
117
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5.266667
158
117
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5.3
159
117
17,888
4
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5.333333
160
117
17,889
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5.366667
161
117
17,890
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5.4
162
117
17,891
4
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5.433333
163
117
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5.466667
164
117
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5.5
165
117
17,894
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5.533333
166
117
17,895
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5.566667
167
117
17,896
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5.6
168
117
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5.633333
169
117
17,898
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5.666667
170
117
17,899
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