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Browse files- .gitattributes +15 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00007-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00008-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00011-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00016-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00023-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00024-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00032-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00033-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00035-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00049-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00050-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00053-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00061-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00074-of-00128 +3 -0
- uiuc_d3field/1.1.2/uiuc_d3field-train.tfrecord-00122-of-00128 +3 -0
- utokyo_pr2_tabletop_manipulation_converted_externally_to_rlds/1.0.0/features.json +140 -0
- utokyo_saytap_converted_externally_to_rlds/0.1.0/dataset_info.json +26 -0
- utokyo_saytap_converted_externally_to_rlds/0.1.0/features.json +208 -0
.gitattributes
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|
137 |
+
}
|
138 |
+
}
|
139 |
+
}
|
140 |
+
}
|
utokyo_saytap_converted_externally_to_rlds/0.1.0/dataset_info.json
ADDED
@@ -0,0 +1,26 @@
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1 |
+
{
|
2 |
+
"citation": "@article{saytap2023,\n author = {Yujin Tang and Wenhao Yu and Jie Tan and Heiga Zen and Aleksandra Faust and\nTatsuya Harada},\n title = {SayTap: Language to Quadrupedal Locomotion},\n eprint = {arXiv:2306.07580},\n url = {https://saytap.github.io},\n note = \"{https://saytap.github.io}\",\n year = {2023}\n}",
|
3 |
+
"description": "A1 walking, no RGB",
|
4 |
+
"fileFormat": "tfrecord",
|
5 |
+
"location": {
|
6 |
+
"urls": [
|
7 |
+
"https://saytap.github.io/"
|
8 |
+
]
|
9 |
+
},
|
10 |
+
"moduleName": "tensorflow_datasets.robotics.rtx.rtx",
|
11 |
+
"name": "utokyo_saytap_converted_externally_to_rlds",
|
12 |
+
"releaseNotes": {
|
13 |
+
"0.1.0": "Initial release."
|
14 |
+
},
|
15 |
+
"splits": [
|
16 |
+
{
|
17 |
+
"filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
|
18 |
+
"name": "train",
|
19 |
+
"numBytes": "58024866",
|
20 |
+
"shardLengths": [
|
21 |
+
"20"
|
22 |
+
]
|
23 |
+
}
|
24 |
+
],
|
25 |
+
"version": "0.1.0"
|
26 |
+
}
|
utokyo_saytap_converted_externally_to_rlds/0.1.0/features.json
ADDED
@@ -0,0 +1,208 @@
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|
1 |
+
{
|
2 |
+
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
|
3 |
+
"featuresDict": {
|
4 |
+
"features": {
|
5 |
+
"episode_metadata": {
|
6 |
+
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
|
7 |
+
"featuresDict": {
|
8 |
+
"features": {
|
9 |
+
"file_path": {
|
10 |
+
"pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
|
11 |
+
"text": {},
|
12 |
+
"description": "Path to the original data file."
|
13 |
+
}
|
14 |
+
}
|
15 |
+
}
|
16 |
+
},
|
17 |
+
"steps": {
|
18 |
+
"pythonClassName": "tensorflow_datasets.core.features.dataset_feature.Dataset",
|
19 |
+
"sequence": {
|
20 |
+
"feature": {
|
21 |
+
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
|
22 |
+
"featuresDict": {
|
23 |
+
"features": {
|
24 |
+
"is_terminal": {
|
25 |
+
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
|
26 |
+
"tensor": {
|
27 |
+
"shape": {},
|
28 |
+
"dtype": "bool",
|
29 |
+
"encoding": "none"
|
30 |
+
}
|
31 |
+
},
|
32 |
+
"language_embedding": {
|
33 |
+
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
|
34 |
+
"tensor": {
|
35 |
+
"shape": {
|
36 |
+
"dimensions": [
|
37 |
+
"512"
|
38 |
+
]
|
39 |
+
},
|
40 |
+
"dtype": "float32",
|
41 |
+
"encoding": "none"
|
42 |
+
},
|
43 |
+
"description": "Kona language embedding. See https://tfhub.dev/google/universal-sentence-encoder-large/5"
|
44 |
+
},
|
45 |
+
"is_first": {
|
46 |
+
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
|
47 |
+
"tensor": {
|
48 |
+
"shape": {},
|
49 |
+
"dtype": "bool",
|
50 |
+
"encoding": "none"
|
51 |
+
}
|
52 |
+
},
|
53 |
+
"is_last": {
|
54 |
+
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
|
55 |
+
"tensor": {
|
56 |
+
"shape": {},
|
57 |
+
"dtype": "bool",
|
58 |
+
"encoding": "none"
|
59 |
+
}
|
60 |
+
},
|
61 |
+
"language_instruction": {
|
62 |
+
"pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
|
63 |
+
"text": {},
|
64 |
+
"description": "Language Instruction."
|
65 |
+
},
|
66 |
+
"discount": {
|
67 |
+
"pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
|
68 |
+
"tensor": {
|
69 |
+
"shape": {},
|
70 |
+
"dtype": "float32",
|
71 |
+
"encoding": "none"
|
72 |
+
},
|
73 |
+
"description": "Discount if provided, default to 1."
|
74 |
+
},
|
75 |
+
"action": {
|
76 |
+
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
|
77 |
+
"tensor": {
|
78 |
+
"shape": {
|
79 |
+
"dimensions": [
|
80 |
+
"12"
|
81 |
+
]
|
82 |
+
},
|
83 |
+
"dtype": "float32",
|
84 |
+
"encoding": "none"
|
85 |
+
},
|
86 |
+
"description": "Robot action, consists of [12x joint positios]."
|
87 |
+
},
|
88 |
+
"observation": {
|
89 |
+
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
|
90 |
+
"featuresDict": {
|
91 |
+
"features": {
|
92 |
+
"wrist_image": {
|
93 |
+
"pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
|
94 |
+
"image": {
|
95 |
+
"shape": {
|
96 |
+
"dimensions": [
|
97 |
+
"64",
|
98 |
+
"64",
|
99 |
+
"3"
|
100 |
+
]
|
101 |
+
},
|
102 |
+
"dtype": "uint8",
|
103 |
+
"encodingFormat": "png"
|
104 |
+
},
|
105 |
+
"description": "Dummy wrist camera RGB observation."
|
106 |
+
},
|
107 |
+
"proj_grav_vec": {
|
108 |
+
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
|
109 |
+
"tensor": {
|
110 |
+
"shape": {
|
111 |
+
"dimensions": [
|
112 |
+
"3"
|
113 |
+
]
|
114 |
+
},
|
115 |
+
"dtype": "float32",
|
116 |
+
"encoding": "none"
|
117 |
+
},
|
118 |
+
"description": "The gravity vector [0, 0, -1] in the robot base frame."
|
119 |
+
},
|
120 |
+
"prev_act": {
|
121 |
+
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
|
122 |
+
"tensor": {
|
123 |
+
"shape": {
|
124 |
+
"dimensions": [
|
125 |
+
"12"
|
126 |
+
]
|
127 |
+
},
|
128 |
+
"dtype": "float32",
|
129 |
+
"encoding": "none"
|
130 |
+
},
|
131 |
+
"description": "Actions applied in the previous step."
|
132 |
+
},
|
133 |
+
"image": {
|
134 |
+
"pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
|
135 |
+
"image": {
|
136 |
+
"shape": {
|
137 |
+
"dimensions": [
|
138 |
+
"64",
|
139 |
+
"64",
|
140 |
+
"3"
|
141 |
+
]
|
142 |
+
},
|
143 |
+
"dtype": "uint8",
|
144 |
+
"encodingFormat": "png"
|
145 |
+
},
|
146 |
+
"description": "Dummy camera RGB observation."
|
147 |
+
},
|
148 |
+
"desired_vel": {
|
149 |
+
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
|
150 |
+
"tensor": {
|
151 |
+
"shape": {
|
152 |
+
"dimensions": [
|
153 |
+
"3"
|
154 |
+
]
|
155 |
+
},
|
156 |
+
"dtype": "float32",
|
157 |
+
"encoding": "none"
|
158 |
+
},
|
159 |
+
"description": "Desired velocites. The first 2 are linear velocities along and perpendicular to the heading direction, the 3rd is the desired angular velocity about the yaw axis."
|
160 |
+
},
|
161 |
+
"state": {
|
162 |
+
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
|
163 |
+
"tensor": {
|
164 |
+
"shape": {
|
165 |
+
"dimensions": [
|
166 |
+
"30"
|
167 |
+
]
|
168 |
+
},
|
169 |
+
"dtype": "float32",
|
170 |
+
"encoding": "none"
|
171 |
+
},
|
172 |
+
"description": "Robot state, consists of [3x robot base linear velocity, 3x base angular vel, 12x joint position, 12x joint velocity]."
|
173 |
+
},
|
174 |
+
"desired_pattern": {
|
175 |
+
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
|
176 |
+
"tensor": {
|
177 |
+
"shape": {
|
178 |
+
"dimensions": [
|
179 |
+
"4",
|
180 |
+
"5"
|
181 |
+
]
|
182 |
+
},
|
183 |
+
"dtype": "bool",
|
184 |
+
"encoding": "none"
|
185 |
+
},
|
186 |
+
"description": "Desired foot contact pattern for the 4 legs, the 4 rows are for the front right, front left, rear right and rear left legs, the pattern length is 5 (=0.1s)."
|
187 |
+
}
|
188 |
+
}
|
189 |
+
}
|
190 |
+
},
|
191 |
+
"reward": {
|
192 |
+
"pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
|
193 |
+
"tensor": {
|
194 |
+
"shape": {},
|
195 |
+
"dtype": "float32",
|
196 |
+
"encoding": "none"
|
197 |
+
},
|
198 |
+
"description": "Reward if provided, 1 on final step for demos."
|
199 |
+
}
|
200 |
+
}
|
201 |
+
}
|
202 |
+
},
|
203 |
+
"length": "-1"
|
204 |
+
}
|
205 |
+
}
|
206 |
+
}
|
207 |
+
}
|
208 |
+
}
|