README
Browse files- README.md +338 -170
- get_stats.py +3 -25
- stats.csv +337 -169
- stats.md +338 -170
README.md
CHANGED
@@ -59,176 +59,344 @@ An example of `train` looks as follows.
|
|
59 |
|
60 |
### Number of Positive/Negative Word-pairs in each Split
|
61 |
|
62 |
-
|
|
63 |
-
|
64 |
-
| 1
|
65 |
-
|
|
66 |
-
|
|
67 |
-
|
|
68 |
-
|
|
69 |
-
|
|
70 |
-
|
|
71 |
-
|
|
72 |
-
|
|
73 |
-
|
|
74 |
-
|
|
75 |
-
|
|
76 |
-
|
|
77 |
-
|
|
78 |
-
|
|
79 |
-
|
|
80 |
-
|
|
81 |
-
|
|
82 |
-
|
|
83 |
-
|
|
84 |
-
|
|
85 |
-
|
|
86 |
-
|
|
87 |
-
|
|
88 |
-
|
|
89 |
-
|
|
90 |
-
|
|
91 |
-
|
|
92 |
-
|
|
93 |
-
|
|
94 |
-
|
|
95 |
-
|
|
96 |
-
|
|
97 |
-
|
|
98 |
-
|
|
99 |
-
|
|
100 |
-
|
|
101 |
-
|
|
102 |
-
|
|
103 |
-
|
|
104 |
-
|
|
105 |
-
|
|
106 |
-
|
|
107 |
-
|
|
108 |
-
|
|
109 |
-
|
|
110 |
-
|
|
111 |
-
|
|
112 |
-
|
|
113 |
-
|
|
114 |
-
|
|
115 |
-
|
|
116 |
-
|
|
117 |
-
|
|
118 |
-
|
|
119 |
-
|
|
120 |
-
|
|
121 |
-
|
|
122 |
-
|
|
123 |
-
|
|
124 |
-
|
|
125 |
-
|
|
126 |
-
|
|
127 |
-
|
|
128 |
-
|
|
129 |
-
|
|
130 |
-
|
|
131 |
-
|
|
132 |
-
|
|
133 |
-
|
|
134 |
-
|
|
135 |
-
|
|
136 |
-
|
|
137 |
-
|
|
138 |
-
|
|
139 |
-
|
|
140 |
-
|
|
141 |
-
|
|
142 |
-
|
|
143 |
-
|
|
144 |
-
|
|
145 |
-
|
|
146 |
-
|
|
147 |
-
|
|
148 |
-
|
|
149 |
-
|
|
150 |
-
|
|
151 |
-
|
|
152 |
-
|
|
153 |
-
|
|
154 |
-
|
|
155 |
-
|
|
156 |
-
|
|
157 |
-
|
|
158 |
-
|
|
159 |
-
|
|
160 |
-
|
|
161 |
-
|
|
162 |
-
|
|
163 |
-
|
|
164 |
-
|
|
165 |
-
|
|
166 |
-
|
|
167 |
-
|
|
168 |
-
|
|
169 |
-
|
|
170 |
-
|
|
171 |
-
|
|
172 |
-
|
|
173 |
-
|
|
174 |
-
|
|
175 |
-
|
|
176 |
-
|
|
177 |
-
|
|
178 |
-
|
|
179 |
-
|
|
180 |
-
|
|
181 |
-
|
|
182 |
-
|
|
183 |
-
|
|
184 |
-
|
|
185 |
-
|
|
186 |
-
|
|
187 |
-
|
|
188 |
-
|
|
189 |
-
|
|
190 |
-
|
|
191 |
-
|
|
192 |
-
|
|
193 |
-
|
|
194 |
-
|
|
195 |
-
|
|
196 |
-
|
|
197 |
-
|
|
198 |
-
|
|
199 |
-
|
|
200 |
-
|
|
201 |
-
|
|
202 |
-
|
|
203 |
-
|
|
204 |
-
|
|
205 |
-
|
|
206 |
-
|
|
207 |
-
|
|
208 |
-
|
|
209 |
-
|
|
210 |
-
|
|
211 |
-
|
|
212 |
-
|
|
213 |
-
|
|
214 |
-
|
|
215 |
-
|
|
216 |
-
|
|
217 |
-
|
|
218 |
-
|
|
219 |
-
|
|
220 |
-
|
|
221 |
-
|
|
222 |
-
|
|
223 |
-
|
|
224 |
-
|
|
225 |
-
|
|
226 |
-
|
|
227 |
-
|
|
228 |
-
|
|
229 |
-
|
|
230 |
-
|
|
231 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
232 |
|
233 |
### Citation Information
|
234 |
```
|
|
|
59 |
|
60 |
### Number of Positive/Negative Word-pairs in each Split
|
61 |
|
62 |
+
| | positives | negatives |
|
63 |
+
|:--------------------------------------------|------------:|------------:|
|
64 |
+
| ('1', 'parent', 'train') | 110 | 680 |
|
65 |
+
| ('1', 'parent', 'validation') | 129 | 760 |
|
66 |
+
| ('10', 'parent', 'train') | 60 | 730 |
|
67 |
+
| ('10', 'parent', 'validation') | 66 | 823 |
|
68 |
+
| ('10a', 'child', 'train') | 10 | 780 |
|
69 |
+
| ('10a', 'child', 'validation') | 14 | 875 |
|
70 |
+
| ('10a', 'child_prototypical', 'train') | 39 | 506 |
|
71 |
+
| ('10a', 'child_prototypical', 'validation') | 63 | 938 |
|
72 |
+
| ('10b', 'child', 'train') | 10 | 780 |
|
73 |
+
| ('10b', 'child', 'validation') | 13 | 876 |
|
74 |
+
| ('10b', 'child_prototypical', 'train') | 39 | 428 |
|
75 |
+
| ('10b', 'child_prototypical', 'validation') | 57 | 707 |
|
76 |
+
| ('10c', 'child', 'train') | 10 | 780 |
|
77 |
+
| ('10c', 'child', 'validation') | 11 | 878 |
|
78 |
+
| ('10c', 'child_prototypical', 'train') | 39 | 545 |
|
79 |
+
| ('10c', 'child_prototypical', 'validation') | 45 | 650 |
|
80 |
+
| ('10d', 'child', 'train') | 10 | 780 |
|
81 |
+
| ('10d', 'child', 'validation') | 10 | 879 |
|
82 |
+
| ('10d', 'child_prototypical', 'train') | 39 | 506 |
|
83 |
+
| ('10d', 'child_prototypical', 'validation') | 39 | 506 |
|
84 |
+
| ('10e', 'child', 'train') | 10 | 780 |
|
85 |
+
| ('10e', 'child', 'validation') | 8 | 881 |
|
86 |
+
| ('10e', 'child_prototypical', 'train') | 39 | 350 |
|
87 |
+
| ('10e', 'child_prototypical', 'validation') | 27 | 218 |
|
88 |
+
| ('10f', 'child', 'train') | 10 | 780 |
|
89 |
+
| ('10f', 'child', 'validation') | 10 | 879 |
|
90 |
+
| ('10f', 'child_prototypical', 'train') | 39 | 506 |
|
91 |
+
| ('10f', 'child_prototypical', 'validation') | 39 | 506 |
|
92 |
+
| ('1a', 'child', 'train') | 10 | 780 |
|
93 |
+
| ('1a', 'child', 'validation') | 14 | 875 |
|
94 |
+
| ('1a', 'child_prototypical', 'train') | 39 | 428 |
|
95 |
+
| ('1a', 'child_prototypical', 'validation') | 63 | 812 |
|
96 |
+
| ('1b', 'child', 'train') | 10 | 780 |
|
97 |
+
| ('1b', 'child', 'validation') | 14 | 875 |
|
98 |
+
| ('1b', 'child_prototypical', 'train') | 39 | 428 |
|
99 |
+
| ('1b', 'child_prototypical', 'validation') | 63 | 812 |
|
100 |
+
| ('1c', 'child', 'train') | 10 | 780 |
|
101 |
+
| ('1c', 'child', 'validation') | 11 | 878 |
|
102 |
+
| ('1c', 'child_prototypical', 'train') | 39 | 545 |
|
103 |
+
| ('1c', 'child_prototypical', 'validation') | 45 | 650 |
|
104 |
+
| ('1d', 'child', 'train') | 10 | 780 |
|
105 |
+
| ('1d', 'child', 'validation') | 16 | 873 |
|
106 |
+
| ('1d', 'child_prototypical', 'train') | 39 | 428 |
|
107 |
+
| ('1d', 'child_prototypical', 'validation') | 75 | 1040 |
|
108 |
+
| ('1e', 'child', 'train') | 10 | 780 |
|
109 |
+
| ('1e', 'child', 'validation') | 8 | 881 |
|
110 |
+
| ('1e', 'child_prototypical', 'train') | 39 | 311 |
|
111 |
+
| ('1e', 'child_prototypical', 'validation') | 27 | 191 |
|
112 |
+
| ('2', 'parent', 'train') | 100 | 690 |
|
113 |
+
| ('2', 'parent', 'validation') | 117 | 772 |
|
114 |
+
| ('2a', 'child', 'train') | 10 | 780 |
|
115 |
+
| ('2a', 'child', 'validation') | 15 | 874 |
|
116 |
+
| ('2a', 'child_prototypical', 'train') | 39 | 506 |
|
117 |
+
| ('2a', 'child_prototypical', 'validation') | 69 | 1061 |
|
118 |
+
| ('2b', 'child', 'train') | 10 | 780 |
|
119 |
+
| ('2b', 'child', 'validation') | 11 | 878 |
|
120 |
+
| ('2b', 'child_prototypical', 'train') | 39 | 389 |
|
121 |
+
| ('2b', 'child_prototypical', 'validation') | 45 | 470 |
|
122 |
+
| ('2c', 'child', 'train') | 10 | 780 |
|
123 |
+
| ('2c', 'child', 'validation') | 13 | 876 |
|
124 |
+
| ('2c', 'child_prototypical', 'train') | 39 | 467 |
|
125 |
+
| ('2c', 'child_prototypical', 'validation') | 57 | 764 |
|
126 |
+
| ('2d', 'child', 'train') | 10 | 780 |
|
127 |
+
| ('2d', 'child', 'validation') | 10 | 879 |
|
128 |
+
| ('2d', 'child_prototypical', 'train') | 39 | 467 |
|
129 |
+
| ('2d', 'child_prototypical', 'validation') | 39 | 467 |
|
130 |
+
| ('2e', 'child', 'train') | 10 | 780 |
|
131 |
+
| ('2e', 'child', 'validation') | 11 | 878 |
|
132 |
+
| ('2e', 'child_prototypical', 'train') | 39 | 506 |
|
133 |
+
| ('2e', 'child_prototypical', 'validation') | 45 | 605 |
|
134 |
+
| ('2f', 'child', 'train') | 10 | 780 |
|
135 |
+
| ('2f', 'child', 'validation') | 11 | 878 |
|
136 |
+
| ('2f', 'child_prototypical', 'train') | 39 | 623 |
|
137 |
+
| ('2f', 'child_prototypical', 'validation') | 45 | 740 |
|
138 |
+
| ('2g', 'child', 'train') | 10 | 780 |
|
139 |
+
| ('2g', 'child', 'validation') | 16 | 873 |
|
140 |
+
| ('2g', 'child_prototypical', 'train') | 39 | 389 |
|
141 |
+
| ('2g', 'child_prototypical', 'validation') | 75 | 965 |
|
142 |
+
| ('2h', 'child', 'train') | 10 | 780 |
|
143 |
+
| ('2h', 'child', 'validation') | 11 | 878 |
|
144 |
+
| ('2h', 'child_prototypical', 'train') | 39 | 506 |
|
145 |
+
| ('2h', 'child_prototypical', 'validation') | 45 | 605 |
|
146 |
+
| ('2i', 'child', 'train') | 10 | 780 |
|
147 |
+
| ('2i', 'child', 'validation') | 9 | 880 |
|
148 |
+
| ('2i', 'child_prototypical', 'train') | 39 | 545 |
|
149 |
+
| ('2i', 'child_prototypical', 'validation') | 33 | 446 |
|
150 |
+
| ('2j', 'child', 'train') | 10 | 780 |
|
151 |
+
| ('2j', 'child', 'validation') | 10 | 879 |
|
152 |
+
| ('2j', 'child_prototypical', 'train') | 39 | 584 |
|
153 |
+
| ('2j', 'child_prototypical', 'validation') | 39 | 584 |
|
154 |
+
| ('3', 'parent', 'train') | 80 | 710 |
|
155 |
+
| ('3', 'parent', 'validation') | 80 | 809 |
|
156 |
+
| ('3a', 'child', 'train') | 10 | 780 |
|
157 |
+
| ('3a', 'child', 'validation') | 11 | 878 |
|
158 |
+
| ('3a', 'child_prototypical', 'train') | 39 | 506 |
|
159 |
+
| ('3a', 'child_prototypical', 'validation') | 45 | 605 |
|
160 |
+
| ('3b', 'child', 'train') | 10 | 780 |
|
161 |
+
| ('3b', 'child', 'validation') | 11 | 878 |
|
162 |
+
| ('3b', 'child_prototypical', 'train') | 39 | 623 |
|
163 |
+
| ('3b', 'child_prototypical', 'validation') | 45 | 740 |
|
164 |
+
| ('3c', 'child', 'train') | 10 | 780 |
|
165 |
+
| ('3c', 'child', 'validation') | 12 | 877 |
|
166 |
+
| ('3c', 'child_prototypical', 'train') | 39 | 467 |
|
167 |
+
| ('3c', 'child_prototypical', 'validation') | 51 | 659 |
|
168 |
+
| ('3d', 'child', 'train') | 10 | 780 |
|
169 |
+
| ('3d', 'child', 'validation') | 14 | 875 |
|
170 |
+
| ('3d', 'child_prototypical', 'train') | 39 | 467 |
|
171 |
+
| ('3d', 'child_prototypical', 'validation') | 63 | 875 |
|
172 |
+
| ('3e', 'child', 'train') | 10 | 780 |
|
173 |
+
| ('3e', 'child', 'validation') | 5 | 884 |
|
174 |
+
| ('3e', 'child_prototypical', 'train') | 39 | 623 |
|
175 |
+
| ('3e', 'child_prototypical', 'validation') | 10 | 140 |
|
176 |
+
| ('3f', 'child', 'train') | 10 | 780 |
|
177 |
+
| ('3f', 'child', 'validation') | 11 | 878 |
|
178 |
+
| ('3f', 'child_prototypical', 'train') | 39 | 662 |
|
179 |
+
| ('3f', 'child_prototypical', 'validation') | 45 | 785 |
|
180 |
+
| ('3g', 'child', 'train') | 10 | 780 |
|
181 |
+
| ('3g', 'child', 'validation') | 6 | 883 |
|
182 |
+
| ('3g', 'child_prototypical', 'train') | 39 | 584 |
|
183 |
+
| ('3g', 'child_prototypical', 'validation') | 15 | 200 |
|
184 |
+
| ('3h', 'child', 'train') | 10 | 780 |
|
185 |
+
| ('3h', 'child', 'validation') | 10 | 879 |
|
186 |
+
| ('3h', 'child_prototypical', 'train') | 39 | 584 |
|
187 |
+
| ('3h', 'child_prototypical', 'validation') | 39 | 584 |
|
188 |
+
| ('4', 'parent', 'train') | 80 | 710 |
|
189 |
+
| ('4', 'parent', 'validation') | 82 | 807 |
|
190 |
+
| ('4a', 'child', 'train') | 10 | 780 |
|
191 |
+
| ('4a', 'child', 'validation') | 11 | 878 |
|
192 |
+
| ('4a', 'child_prototypical', 'train') | 39 | 623 |
|
193 |
+
| ('4a', 'child_prototypical', 'validation') | 45 | 740 |
|
194 |
+
| ('4b', 'child', 'train') | 10 | 780 |
|
195 |
+
| ('4b', 'child', 'validation') | 7 | 882 |
|
196 |
+
| ('4b', 'child_prototypical', 'train') | 39 | 428 |
|
197 |
+
| ('4b', 'child_prototypical', 'validation') | 21 | 203 |
|
198 |
+
| ('4c', 'child', 'train') | 10 | 780 |
|
199 |
+
| ('4c', 'child', 'validation') | 12 | 877 |
|
200 |
+
| ('4c', 'child_prototypical', 'train') | 39 | 545 |
|
201 |
+
| ('4c', 'child_prototypical', 'validation') | 51 | 761 |
|
202 |
+
| ('4d', 'child', 'train') | 10 | 780 |
|
203 |
+
| ('4d', 'child', 'validation') | 4 | 885 |
|
204 |
+
| ('4d', 'child_prototypical', 'train') | 39 | 389 |
|
205 |
+
| ('4d', 'child_prototypical', 'validation') | 6 | 46 |
|
206 |
+
| ('4e', 'child', 'train') | 10 | 780 |
|
207 |
+
| ('4e', 'child', 'validation') | 12 | 877 |
|
208 |
+
| ('4e', 'child_prototypical', 'train') | 39 | 623 |
|
209 |
+
| ('4e', 'child_prototypical', 'validation') | 51 | 863 |
|
210 |
+
| ('4f', 'child', 'train') | 10 | 780 |
|
211 |
+
| ('4f', 'child', 'validation') | 9 | 880 |
|
212 |
+
| ('4f', 'child_prototypical', 'train') | 39 | 623 |
|
213 |
+
| ('4f', 'child_prototypical', 'validation') | 33 | 512 |
|
214 |
+
| ('4g', 'child', 'train') | 10 | 780 |
|
215 |
+
| ('4g', 'child', 'validation') | 15 | 874 |
|
216 |
+
| ('4g', 'child_prototypical', 'train') | 39 | 467 |
|
217 |
+
| ('4g', 'child_prototypical', 'validation') | 69 | 992 |
|
218 |
+
| ('4h', 'child', 'train') | 10 | 780 |
|
219 |
+
| ('4h', 'child', 'validation') | 12 | 877 |
|
220 |
+
| ('4h', 'child_prototypical', 'train') | 39 | 584 |
|
221 |
+
| ('4h', 'child_prototypical', 'validation') | 51 | 812 |
|
222 |
+
| ('5', 'parent', 'train') | 90 | 700 |
|
223 |
+
| ('5', 'parent', 'validation') | 105 | 784 |
|
224 |
+
| ('5a', 'child', 'train') | 10 | 780 |
|
225 |
+
| ('5a', 'child', 'validation') | 14 | 875 |
|
226 |
+
| ('5a', 'child_prototypical', 'train') | 39 | 467 |
|
227 |
+
| ('5a', 'child_prototypical', 'validation') | 63 | 875 |
|
228 |
+
| ('5b', 'child', 'train') | 10 | 780 |
|
229 |
+
| ('5b', 'child', 'validation') | 8 | 881 |
|
230 |
+
| ('5b', 'child_prototypical', 'train') | 39 | 584 |
|
231 |
+
| ('5b', 'child_prototypical', 'validation') | 27 | 380 |
|
232 |
+
| ('5c', 'child', 'train') | 10 | 780 |
|
233 |
+
| ('5c', 'child', 'validation') | 11 | 878 |
|
234 |
+
| ('5c', 'child_prototypical', 'train') | 39 | 506 |
|
235 |
+
| ('5c', 'child_prototypical', 'validation') | 45 | 605 |
|
236 |
+
| ('5d', 'child', 'train') | 10 | 780 |
|
237 |
+
| ('5d', 'child', 'validation') | 15 | 874 |
|
238 |
+
| ('5d', 'child_prototypical', 'train') | 39 | 428 |
|
239 |
+
| ('5d', 'child_prototypical', 'validation') | 69 | 923 |
|
240 |
+
| ('5e', 'child', 'train') | 10 | 780 |
|
241 |
+
| ('5e', 'child', 'validation') | 8 | 881 |
|
242 |
+
| ('5e', 'child_prototypical', 'train') | 39 | 584 |
|
243 |
+
| ('5e', 'child_prototypical', 'validation') | 27 | 380 |
|
244 |
+
| ('5f', 'child', 'train') | 10 | 780 |
|
245 |
+
| ('5f', 'child', 'validation') | 11 | 878 |
|
246 |
+
| ('5f', 'child_prototypical', 'train') | 39 | 584 |
|
247 |
+
| ('5f', 'child_prototypical', 'validation') | 45 | 695 |
|
248 |
+
| ('5g', 'child', 'train') | 10 | 780 |
|
249 |
+
| ('5g', 'child', 'validation') | 9 | 880 |
|
250 |
+
| ('5g', 'child_prototypical', 'train') | 39 | 623 |
|
251 |
+
| ('5g', 'child_prototypical', 'validation') | 33 | 512 |
|
252 |
+
| ('5h', 'child', 'train') | 10 | 780 |
|
253 |
+
| ('5h', 'child', 'validation') | 15 | 874 |
|
254 |
+
| ('5h', 'child_prototypical', 'train') | 39 | 545 |
|
255 |
+
| ('5h', 'child_prototypical', 'validation') | 69 | 1130 |
|
256 |
+
| ('5i', 'child', 'train') | 10 | 780 |
|
257 |
+
| ('5i', 'child', 'validation') | 14 | 875 |
|
258 |
+
| ('5i', 'child_prototypical', 'train') | 39 | 545 |
|
259 |
+
| ('5i', 'child_prototypical', 'validation') | 63 | 1001 |
|
260 |
+
| ('6', 'parent', 'train') | 80 | 710 |
|
261 |
+
| ('6', 'parent', 'validation') | 99 | 790 |
|
262 |
+
| ('6a', 'child', 'train') | 10 | 780 |
|
263 |
+
| ('6a', 'child', 'validation') | 15 | 874 |
|
264 |
+
| ('6a', 'child_prototypical', 'train') | 39 | 467 |
|
265 |
+
| ('6a', 'child_prototypical', 'validation') | 69 | 992 |
|
266 |
+
| ('6b', 'child', 'train') | 10 | 780 |
|
267 |
+
| ('6b', 'child', 'validation') | 11 | 878 |
|
268 |
+
| ('6b', 'child_prototypical', 'train') | 39 | 584 |
|
269 |
+
| ('6b', 'child_prototypical', 'validation') | 45 | 695 |
|
270 |
+
| ('6c', 'child', 'train') | 10 | 780 |
|
271 |
+
| ('6c', 'child', 'validation') | 13 | 876 |
|
272 |
+
| ('6c', 'child_prototypical', 'train') | 39 | 584 |
|
273 |
+
| ('6c', 'child_prototypical', 'validation') | 57 | 935 |
|
274 |
+
| ('6d', 'child', 'train') | 10 | 780 |
|
275 |
+
| ('6d', 'child', 'validation') | 10 | 879 |
|
276 |
+
| ('6d', 'child_prototypical', 'train') | 39 | 701 |
|
277 |
+
| ('6d', 'child_prototypical', 'validation') | 39 | 701 |
|
278 |
+
| ('6e', 'child', 'train') | 10 | 780 |
|
279 |
+
| ('6e', 'child', 'validation') | 11 | 878 |
|
280 |
+
| ('6e', 'child_prototypical', 'train') | 39 | 584 |
|
281 |
+
| ('6e', 'child_prototypical', 'validation') | 45 | 695 |
|
282 |
+
| ('6f', 'child', 'train') | 10 | 780 |
|
283 |
+
| ('6f', 'child', 'validation') | 12 | 877 |
|
284 |
+
| ('6f', 'child_prototypical', 'train') | 39 | 506 |
|
285 |
+
| ('6f', 'child_prototypical', 'validation') | 51 | 710 |
|
286 |
+
| ('6g', 'child', 'train') | 10 | 780 |
|
287 |
+
| ('6g', 'child', 'validation') | 12 | 877 |
|
288 |
+
| ('6g', 'child_prototypical', 'train') | 39 | 467 |
|
289 |
+
| ('6g', 'child_prototypical', 'validation') | 51 | 659 |
|
290 |
+
| ('6h', 'child', 'train') | 10 | 780 |
|
291 |
+
| ('6h', 'child', 'validation') | 15 | 874 |
|
292 |
+
| ('6h', 'child_prototypical', 'train') | 39 | 506 |
|
293 |
+
| ('6h', 'child_prototypical', 'validation') | 69 | 1061 |
|
294 |
+
| ('7', 'parent', 'train') | 80 | 710 |
|
295 |
+
| ('7', 'parent', 'validation') | 91 | 798 |
|
296 |
+
| ('7a', 'child', 'train') | 10 | 780 |
|
297 |
+
| ('7a', 'child', 'validation') | 14 | 875 |
|
298 |
+
| ('7a', 'child_prototypical', 'train') | 39 | 545 |
|
299 |
+
| ('7a', 'child_prototypical', 'validation') | 63 | 1001 |
|
300 |
+
| ('7b', 'child', 'train') | 10 | 780 |
|
301 |
+
| ('7b', 'child', 'validation') | 7 | 882 |
|
302 |
+
| ('7b', 'child_prototypical', 'train') | 39 | 389 |
|
303 |
+
| ('7b', 'child_prototypical', 'validation') | 21 | 182 |
|
304 |
+
| ('7c', 'child', 'train') | 10 | 780 |
|
305 |
+
| ('7c', 'child', 'validation') | 11 | 878 |
|
306 |
+
| ('7c', 'child_prototypical', 'train') | 39 | 428 |
|
307 |
+
| ('7c', 'child_prototypical', 'validation') | 45 | 515 |
|
308 |
+
| ('7d', 'child', 'train') | 10 | 780 |
|
309 |
+
| ('7d', 'child', 'validation') | 14 | 875 |
|
310 |
+
| ('7d', 'child_prototypical', 'train') | 39 | 545 |
|
311 |
+
| ('7d', 'child_prototypical', 'validation') | 63 | 1001 |
|
312 |
+
| ('7e', 'child', 'train') | 10 | 780 |
|
313 |
+
| ('7e', 'child', 'validation') | 10 | 879 |
|
314 |
+
| ('7e', 'child_prototypical', 'train') | 39 | 428 |
|
315 |
+
| ('7e', 'child_prototypical', 'validation') | 39 | 428 |
|
316 |
+
| ('7f', 'child', 'train') | 10 | 780 |
|
317 |
+
| ('7f', 'child', 'validation') | 12 | 877 |
|
318 |
+
| ('7f', 'child_prototypical', 'train') | 39 | 389 |
|
319 |
+
| ('7f', 'child_prototypical', 'validation') | 51 | 557 |
|
320 |
+
| ('7g', 'child', 'train') | 10 | 780 |
|
321 |
+
| ('7g', 'child', 'validation') | 9 | 880 |
|
322 |
+
| ('7g', 'child_prototypical', 'train') | 39 | 311 |
|
323 |
+
| ('7g', 'child_prototypical', 'validation') | 33 | 248 |
|
324 |
+
| ('7h', 'child', 'train') | 10 | 780 |
|
325 |
+
| ('7h', 'child', 'validation') | 14 | 875 |
|
326 |
+
| ('7h', 'child_prototypical', 'train') | 39 | 350 |
|
327 |
+
| ('7h', 'child_prototypical', 'validation') | 63 | 686 |
|
328 |
+
| ('8', 'parent', 'train') | 80 | 710 |
|
329 |
+
| ('8', 'parent', 'validation') | 90 | 799 |
|
330 |
+
| ('8a', 'child', 'train') | 10 | 780 |
|
331 |
+
| ('8a', 'child', 'validation') | 14 | 875 |
|
332 |
+
| ('8a', 'child_prototypical', 'train') | 39 | 428 |
|
333 |
+
| ('8a', 'child_prototypical', 'validation') | 63 | 812 |
|
334 |
+
| ('8b', 'child', 'train') | 10 | 780 |
|
335 |
+
| ('8b', 'child', 'validation') | 7 | 882 |
|
336 |
+
| ('8b', 'child_prototypical', 'train') | 39 | 584 |
|
337 |
+
| ('8b', 'child_prototypical', 'validation') | 21 | 287 |
|
338 |
+
| ('8c', 'child', 'train') | 10 | 780 |
|
339 |
+
| ('8c', 'child', 'validation') | 12 | 877 |
|
340 |
+
| ('8c', 'child_prototypical', 'train') | 39 | 389 |
|
341 |
+
| ('8c', 'child_prototypical', 'validation') | 51 | 557 |
|
342 |
+
| ('8d', 'child', 'train') | 10 | 780 |
|
343 |
+
| ('8d', 'child', 'validation') | 13 | 876 |
|
344 |
+
| ('8d', 'child_prototypical', 'train') | 39 | 389 |
|
345 |
+
| ('8d', 'child_prototypical', 'validation') | 57 | 650 |
|
346 |
+
| ('8e', 'child', 'train') | 10 | 780 |
|
347 |
+
| ('8e', 'child', 'validation') | 11 | 878 |
|
348 |
+
| ('8e', 'child_prototypical', 'train') | 39 | 389 |
|
349 |
+
| ('8e', 'child_prototypical', 'validation') | 45 | 470 |
|
350 |
+
| ('8f', 'child', 'train') | 10 | 780 |
|
351 |
+
| ('8f', 'child', 'validation') | 12 | 877 |
|
352 |
+
| ('8f', 'child_prototypical', 'train') | 39 | 428 |
|
353 |
+
| ('8f', 'child_prototypical', 'validation') | 51 | 608 |
|
354 |
+
| ('8g', 'child', 'train') | 10 | 780 |
|
355 |
+
| ('8g', 'child', 'validation') | 7 | 882 |
|
356 |
+
| ('8g', 'child_prototypical', 'train') | 39 | 272 |
|
357 |
+
| ('8g', 'child_prototypical', 'validation') | 21 | 119 |
|
358 |
+
| ('8h', 'child', 'train') | 10 | 780 |
|
359 |
+
| ('8h', 'child', 'validation') | 14 | 875 |
|
360 |
+
| ('8h', 'child_prototypical', 'train') | 39 | 467 |
|
361 |
+
| ('8h', 'child_prototypical', 'validation') | 63 | 875 |
|
362 |
+
| ('9', 'parent', 'train') | 90 | 700 |
|
363 |
+
| ('9', 'parent', 'validation') | 96 | 793 |
|
364 |
+
| ('9a', 'child', 'train') | 10 | 780 |
|
365 |
+
| ('9a', 'child', 'validation') | 14 | 875 |
|
366 |
+
| ('9a', 'child_prototypical', 'train') | 39 | 350 |
|
367 |
+
| ('9a', 'child_prototypical', 'validation') | 63 | 686 |
|
368 |
+
| ('9b', 'child', 'train') | 10 | 780 |
|
369 |
+
| ('9b', 'child', 'validation') | 12 | 877 |
|
370 |
+
| ('9b', 'child_prototypical', 'train') | 39 | 506 |
|
371 |
+
| ('9b', 'child_prototypical', 'validation') | 51 | 710 |
|
372 |
+
| ('9c', 'child', 'train') | 10 | 780 |
|
373 |
+
| ('9c', 'child', 'validation') | 7 | 882 |
|
374 |
+
| ('9c', 'child_prototypical', 'train') | 39 | 155 |
|
375 |
+
| ('9c', 'child_prototypical', 'validation') | 21 | 56 |
|
376 |
+
| ('9d', 'child', 'train') | 10 | 780 |
|
377 |
+
| ('9d', 'child', 'validation') | 9 | 880 |
|
378 |
+
| ('9d', 'child_prototypical', 'train') | 39 | 662 |
|
379 |
+
| ('9d', 'child_prototypical', 'validation') | 33 | 545 |
|
380 |
+
| ('9e', 'child', 'train') | 10 | 780 |
|
381 |
+
| ('9e', 'child', 'validation') | 8 | 881 |
|
382 |
+
| ('9e', 'child_prototypical', 'train') | 39 | 701 |
|
383 |
+
| ('9e', 'child_prototypical', 'validation') | 27 | 461 |
|
384 |
+
| ('9f', 'child', 'train') | 10 | 780 |
|
385 |
+
| ('9f', 'child', 'validation') | 10 | 879 |
|
386 |
+
| ('9f', 'child_prototypical', 'train') | 39 | 506 |
|
387 |
+
| ('9f', 'child_prototypical', 'validation') | 39 | 506 |
|
388 |
+
| ('9g', 'child', 'train') | 10 | 780 |
|
389 |
+
| ('9g', 'child', 'validation') | 14 | 875 |
|
390 |
+
| ('9g', 'child_prototypical', 'train') | 39 | 389 |
|
391 |
+
| ('9g', 'child_prototypical', 'validation') | 63 | 749 |
|
392 |
+
| ('9h', 'child', 'train') | 10 | 780 |
|
393 |
+
| ('9h', 'child', 'validation') | 13 | 876 |
|
394 |
+
| ('9h', 'child_prototypical', 'train') | 39 | 506 |
|
395 |
+
| ('9h', 'child_prototypical', 'validation') | 57 | 821 |
|
396 |
+
| ('9i', 'child', 'train') | 10 | 780 |
|
397 |
+
| ('9i', 'child', 'validation') | 9 | 880 |
|
398 |
+
| ('9i', 'child_prototypical', 'train') | 39 | 506 |
|
399 |
+
| ('9i', 'child_prototypical', 'validation') | 33 | 413 |
|
400 |
|
401 |
### Citation Information
|
402 |
```
|
get_stats.py
CHANGED
@@ -14,31 +14,9 @@ for k in data.keys():
|
|
14 |
'level': i['level']
|
15 |
})
|
16 |
df = pd.DataFrame(stats)
|
17 |
-
|
18 |
-
|
19 |
-
stats = []
|
20 |
-
for (relation_type, level), r in df.groupby(['relation_type', 'level']):
|
21 |
-
_df_t = r[r['split'] == 'train']
|
22 |
-
_df_v = r[r['split'] == 'validation']
|
23 |
-
stats.append({
|
24 |
-
'relation_type': relation_type,
|
25 |
-
'level': level,
|
26 |
-
'positive (train)': 0 if len(_df_t) == 0 else _df_t['positives'].values[0],
|
27 |
-
'negative (train)': 0 if len(_df_t) == 0 else _df_t['negatives'].values[0],
|
28 |
-
'positive (validation)': 0 if len(_df_v) == 0 else _df_v['positives'].values[0],
|
29 |
-
'negative (validation)': 0 if len(_df_v) == 0 else _df_v['negatives'].values[0],
|
30 |
-
})
|
31 |
-
|
32 |
-
df = pd.DataFrame(stats).sort_values(by=['relation_type'])
|
33 |
-
df.index = df.pop('relation_type')
|
34 |
-
# sum_pairs = df.sum(0)
|
35 |
-
# df = df.T
|
36 |
-
# df['SUM'] = sum_pairs
|
37 |
-
# df = df.T
|
38 |
-
|
39 |
-
df.to_csv('stats.csv')
|
40 |
with open('stats.md', 'w') as f:
|
41 |
-
f.write(
|
42 |
-
|
43 |
|
44 |
|
|
|
14 |
'level': i['level']
|
15 |
})
|
16 |
df = pd.DataFrame(stats)
|
17 |
+
g = df.groupby(['relation_type', 'level', 'split']).sum()
|
18 |
+
g.to_csv('stats.csv')
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
19 |
with open('stats.md', 'w') as f:
|
20 |
+
f.write(g.to_markdown())
|
|
|
21 |
|
22 |
|
stats.csv
CHANGED
@@ -1,169 +1,337 @@
|
|
1 |
-
relation_type,level,
|
2 |
-
1,parent,110,680
|
3 |
-
|
4 |
-
|
5 |
-
|
6 |
-
|
7 |
-
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
|
12 |
-
|
13 |
-
|
14 |
-
|
15 |
-
|
16 |
-
|
17 |
-
|
18 |
-
|
19 |
-
|
20 |
-
|
21 |
-
|
22 |
-
|
23 |
-
|
24 |
-
|
25 |
-
|
26 |
-
|
27 |
-
|
28 |
-
|
29 |
-
|
30 |
-
|
31 |
-
|
32 |
-
|
33 |
-
|
34 |
-
|
35 |
-
|
36 |
-
|
37 |
-
|
38 |
-
|
39 |
-
|
40 |
-
|
41 |
-
|
42 |
-
|
43 |
-
|
44 |
-
|
45 |
-
|
46 |
-
|
47 |
-
|
48 |
-
|
49 |
-
|
50 |
-
|
51 |
-
|
52 |
-
|
53 |
-
|
54 |
-
|
55 |
-
|
56 |
-
|
57 |
-
|
58 |
-
|
59 |
-
|
60 |
-
|
61 |
-
|
62 |
-
|
63 |
-
|
64 |
-
|
65 |
-
|
66 |
-
|
67 |
-
|
68 |
-
|
69 |
-
|
70 |
-
|
71 |
-
|
72 |
-
|
73 |
-
|
74 |
-
|
75 |
-
|
76 |
-
|
77 |
-
|
78 |
-
|
79 |
-
|
80 |
-
|
81 |
-
|
82 |
-
|
83 |
-
|
84 |
-
|
85 |
-
|
86 |
-
|
87 |
-
|
88 |
-
|
89 |
-
|
90 |
-
|
91 |
-
|
92 |
-
|
93 |
-
|
94 |
-
|
95 |
-
|
96 |
-
|
97 |
-
|
98 |
-
|
99 |
-
|
100 |
-
|
101 |
-
|
102 |
-
|
103 |
-
|
104 |
-
|
105 |
-
|
106 |
-
|
107 |
-
|
108 |
-
|
109 |
-
|
110 |
-
|
111 |
-
|
112 |
-
|
113 |
-
|
114 |
-
|
115 |
-
|
116 |
-
|
117 |
-
|
118 |
-
|
119 |
-
|
120 |
-
|
121 |
-
|
122 |
-
|
123 |
-
|
124 |
-
|
125 |
-
|
126 |
-
|
127 |
-
|
128 |
-
|
129 |
-
|
130 |
-
|
131 |
-
|
132 |
-
|
133 |
-
|
134 |
-
|
135 |
-
|
136 |
-
|
137 |
-
|
138 |
-
|
139 |
-
|
140 |
-
|
141 |
-
|
142 |
-
|
143 |
-
|
144 |
-
|
145 |
-
|
146 |
-
|
147 |
-
|
148 |
-
|
149 |
-
|
150 |
-
|
151 |
-
|
152 |
-
|
153 |
-
|
154 |
-
|
155 |
-
|
156 |
-
|
157 |
-
|
158 |
-
|
159 |
-
|
160 |
-
|
161 |
-
|
162 |
-
|
163 |
-
|
164 |
-
|
165 |
-
|
166 |
-
|
167 |
-
|
168 |
-
|
169 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
relation_type,level,split,positives,negatives
|
2 |
+
1,parent,train,110,680
|
3 |
+
1,parent,validation,129,760
|
4 |
+
10,parent,train,60,730
|
5 |
+
10,parent,validation,66,823
|
6 |
+
10a,child,train,10,780
|
7 |
+
10a,child,validation,14,875
|
8 |
+
10a,child_prototypical,train,39,506
|
9 |
+
10a,child_prototypical,validation,63,938
|
10 |
+
10b,child,train,10,780
|
11 |
+
10b,child,validation,13,876
|
12 |
+
10b,child_prototypical,train,39,428
|
13 |
+
10b,child_prototypical,validation,57,707
|
14 |
+
10c,child,train,10,780
|
15 |
+
10c,child,validation,11,878
|
16 |
+
10c,child_prototypical,train,39,545
|
17 |
+
10c,child_prototypical,validation,45,650
|
18 |
+
10d,child,train,10,780
|
19 |
+
10d,child,validation,10,879
|
20 |
+
10d,child_prototypical,train,39,506
|
21 |
+
10d,child_prototypical,validation,39,506
|
22 |
+
10e,child,train,10,780
|
23 |
+
10e,child,validation,8,881
|
24 |
+
10e,child_prototypical,train,39,350
|
25 |
+
10e,child_prototypical,validation,27,218
|
26 |
+
10f,child,train,10,780
|
27 |
+
10f,child,validation,10,879
|
28 |
+
10f,child_prototypical,train,39,506
|
29 |
+
10f,child_prototypical,validation,39,506
|
30 |
+
1a,child,train,10,780
|
31 |
+
1a,child,validation,14,875
|
32 |
+
1a,child_prototypical,train,39,428
|
33 |
+
1a,child_prototypical,validation,63,812
|
34 |
+
1b,child,train,10,780
|
35 |
+
1b,child,validation,14,875
|
36 |
+
1b,child_prototypical,train,39,428
|
37 |
+
1b,child_prototypical,validation,63,812
|
38 |
+
1c,child,train,10,780
|
39 |
+
1c,child,validation,11,878
|
40 |
+
1c,child_prototypical,train,39,545
|
41 |
+
1c,child_prototypical,validation,45,650
|
42 |
+
1d,child,train,10,780
|
43 |
+
1d,child,validation,16,873
|
44 |
+
1d,child_prototypical,train,39,428
|
45 |
+
1d,child_prototypical,validation,75,1040
|
46 |
+
1e,child,train,10,780
|
47 |
+
1e,child,validation,8,881
|
48 |
+
1e,child_prototypical,train,39,311
|
49 |
+
1e,child_prototypical,validation,27,191
|
50 |
+
2,parent,train,100,690
|
51 |
+
2,parent,validation,117,772
|
52 |
+
2a,child,train,10,780
|
53 |
+
2a,child,validation,15,874
|
54 |
+
2a,child_prototypical,train,39,506
|
55 |
+
2a,child_prototypical,validation,69,1061
|
56 |
+
2b,child,train,10,780
|
57 |
+
2b,child,validation,11,878
|
58 |
+
2b,child_prototypical,train,39,389
|
59 |
+
2b,child_prototypical,validation,45,470
|
60 |
+
2c,child,train,10,780
|
61 |
+
2c,child,validation,13,876
|
62 |
+
2c,child_prototypical,train,39,467
|
63 |
+
2c,child_prototypical,validation,57,764
|
64 |
+
2d,child,train,10,780
|
65 |
+
2d,child,validation,10,879
|
66 |
+
2d,child_prototypical,train,39,467
|
67 |
+
2d,child_prototypical,validation,39,467
|
68 |
+
2e,child,train,10,780
|
69 |
+
2e,child,validation,11,878
|
70 |
+
2e,child_prototypical,train,39,506
|
71 |
+
2e,child_prototypical,validation,45,605
|
72 |
+
2f,child,train,10,780
|
73 |
+
2f,child,validation,11,878
|
74 |
+
2f,child_prototypical,train,39,623
|
75 |
+
2f,child_prototypical,validation,45,740
|
76 |
+
2g,child,train,10,780
|
77 |
+
2g,child,validation,16,873
|
78 |
+
2g,child_prototypical,train,39,389
|
79 |
+
2g,child_prototypical,validation,75,965
|
80 |
+
2h,child,train,10,780
|
81 |
+
2h,child,validation,11,878
|
82 |
+
2h,child_prototypical,train,39,506
|
83 |
+
2h,child_prototypical,validation,45,605
|
84 |
+
2i,child,train,10,780
|
85 |
+
2i,child,validation,9,880
|
86 |
+
2i,child_prototypical,train,39,545
|
87 |
+
2i,child_prototypical,validation,33,446
|
88 |
+
2j,child,train,10,780
|
89 |
+
2j,child,validation,10,879
|
90 |
+
2j,child_prototypical,train,39,584
|
91 |
+
2j,child_prototypical,validation,39,584
|
92 |
+
3,parent,train,80,710
|
93 |
+
3,parent,validation,80,809
|
94 |
+
3a,child,train,10,780
|
95 |
+
3a,child,validation,11,878
|
96 |
+
3a,child_prototypical,train,39,506
|
97 |
+
3a,child_prototypical,validation,45,605
|
98 |
+
3b,child,train,10,780
|
99 |
+
3b,child,validation,11,878
|
100 |
+
3b,child_prototypical,train,39,623
|
101 |
+
3b,child_prototypical,validation,45,740
|
102 |
+
3c,child,train,10,780
|
103 |
+
3c,child,validation,12,877
|
104 |
+
3c,child_prototypical,train,39,467
|
105 |
+
3c,child_prototypical,validation,51,659
|
106 |
+
3d,child,train,10,780
|
107 |
+
3d,child,validation,14,875
|
108 |
+
3d,child_prototypical,train,39,467
|
109 |
+
3d,child_prototypical,validation,63,875
|
110 |
+
3e,child,train,10,780
|
111 |
+
3e,child,validation,5,884
|
112 |
+
3e,child_prototypical,train,39,623
|
113 |
+
3e,child_prototypical,validation,10,140
|
114 |
+
3f,child,train,10,780
|
115 |
+
3f,child,validation,11,878
|
116 |
+
3f,child_prototypical,train,39,662
|
117 |
+
3f,child_prototypical,validation,45,785
|
118 |
+
3g,child,train,10,780
|
119 |
+
3g,child,validation,6,883
|
120 |
+
3g,child_prototypical,train,39,584
|
121 |
+
3g,child_prototypical,validation,15,200
|
122 |
+
3h,child,train,10,780
|
123 |
+
3h,child,validation,10,879
|
124 |
+
3h,child_prototypical,train,39,584
|
125 |
+
3h,child_prototypical,validation,39,584
|
126 |
+
4,parent,train,80,710
|
127 |
+
4,parent,validation,82,807
|
128 |
+
4a,child,train,10,780
|
129 |
+
4a,child,validation,11,878
|
130 |
+
4a,child_prototypical,train,39,623
|
131 |
+
4a,child_prototypical,validation,45,740
|
132 |
+
4b,child,train,10,780
|
133 |
+
4b,child,validation,7,882
|
134 |
+
4b,child_prototypical,train,39,428
|
135 |
+
4b,child_prototypical,validation,21,203
|
136 |
+
4c,child,train,10,780
|
137 |
+
4c,child,validation,12,877
|
138 |
+
4c,child_prototypical,train,39,545
|
139 |
+
4c,child_prototypical,validation,51,761
|
140 |
+
4d,child,train,10,780
|
141 |
+
4d,child,validation,4,885
|
142 |
+
4d,child_prototypical,train,39,389
|
143 |
+
4d,child_prototypical,validation,6,46
|
144 |
+
4e,child,train,10,780
|
145 |
+
4e,child,validation,12,877
|
146 |
+
4e,child_prototypical,train,39,623
|
147 |
+
4e,child_prototypical,validation,51,863
|
148 |
+
4f,child,train,10,780
|
149 |
+
4f,child,validation,9,880
|
150 |
+
4f,child_prototypical,train,39,623
|
151 |
+
4f,child_prototypical,validation,33,512
|
152 |
+
4g,child,train,10,780
|
153 |
+
4g,child,validation,15,874
|
154 |
+
4g,child_prototypical,train,39,467
|
155 |
+
4g,child_prototypical,validation,69,992
|
156 |
+
4h,child,train,10,780
|
157 |
+
4h,child,validation,12,877
|
158 |
+
4h,child_prototypical,train,39,584
|
159 |
+
4h,child_prototypical,validation,51,812
|
160 |
+
5,parent,train,90,700
|
161 |
+
5,parent,validation,105,784
|
162 |
+
5a,child,train,10,780
|
163 |
+
5a,child,validation,14,875
|
164 |
+
5a,child_prototypical,train,39,467
|
165 |
+
5a,child_prototypical,validation,63,875
|
166 |
+
5b,child,train,10,780
|
167 |
+
5b,child,validation,8,881
|
168 |
+
5b,child_prototypical,train,39,584
|
169 |
+
5b,child_prototypical,validation,27,380
|
170 |
+
5c,child,train,10,780
|
171 |
+
5c,child,validation,11,878
|
172 |
+
5c,child_prototypical,train,39,506
|
173 |
+
5c,child_prototypical,validation,45,605
|
174 |
+
5d,child,train,10,780
|
175 |
+
5d,child,validation,15,874
|
176 |
+
5d,child_prototypical,train,39,428
|
177 |
+
5d,child_prototypical,validation,69,923
|
178 |
+
5e,child,train,10,780
|
179 |
+
5e,child,validation,8,881
|
180 |
+
5e,child_prototypical,train,39,584
|
181 |
+
5e,child_prototypical,validation,27,380
|
182 |
+
5f,child,train,10,780
|
183 |
+
5f,child,validation,11,878
|
184 |
+
5f,child_prototypical,train,39,584
|
185 |
+
5f,child_prototypical,validation,45,695
|
186 |
+
5g,child,train,10,780
|
187 |
+
5g,child,validation,9,880
|
188 |
+
5g,child_prototypical,train,39,623
|
189 |
+
5g,child_prototypical,validation,33,512
|
190 |
+
5h,child,train,10,780
|
191 |
+
5h,child,validation,15,874
|
192 |
+
5h,child_prototypical,train,39,545
|
193 |
+
5h,child_prototypical,validation,69,1130
|
194 |
+
5i,child,train,10,780
|
195 |
+
5i,child,validation,14,875
|
196 |
+
5i,child_prototypical,train,39,545
|
197 |
+
5i,child_prototypical,validation,63,1001
|
198 |
+
6,parent,train,80,710
|
199 |
+
6,parent,validation,99,790
|
200 |
+
6a,child,train,10,780
|
201 |
+
6a,child,validation,15,874
|
202 |
+
6a,child_prototypical,train,39,467
|
203 |
+
6a,child_prototypical,validation,69,992
|
204 |
+
6b,child,train,10,780
|
205 |
+
6b,child,validation,11,878
|
206 |
+
6b,child_prototypical,train,39,584
|
207 |
+
6b,child_prototypical,validation,45,695
|
208 |
+
6c,child,train,10,780
|
209 |
+
6c,child,validation,13,876
|
210 |
+
6c,child_prototypical,train,39,584
|
211 |
+
6c,child_prototypical,validation,57,935
|
212 |
+
6d,child,train,10,780
|
213 |
+
6d,child,validation,10,879
|
214 |
+
6d,child_prototypical,train,39,701
|
215 |
+
6d,child_prototypical,validation,39,701
|
216 |
+
6e,child,train,10,780
|
217 |
+
6e,child,validation,11,878
|
218 |
+
6e,child_prototypical,train,39,584
|
219 |
+
6e,child_prototypical,validation,45,695
|
220 |
+
6f,child,train,10,780
|
221 |
+
6f,child,validation,12,877
|
222 |
+
6f,child_prototypical,train,39,506
|
223 |
+
6f,child_prototypical,validation,51,710
|
224 |
+
6g,child,train,10,780
|
225 |
+
6g,child,validation,12,877
|
226 |
+
6g,child_prototypical,train,39,467
|
227 |
+
6g,child_prototypical,validation,51,659
|
228 |
+
6h,child,train,10,780
|
229 |
+
6h,child,validation,15,874
|
230 |
+
6h,child_prototypical,train,39,506
|
231 |
+
6h,child_prototypical,validation,69,1061
|
232 |
+
7,parent,train,80,710
|
233 |
+
7,parent,validation,91,798
|
234 |
+
7a,child,train,10,780
|
235 |
+
7a,child,validation,14,875
|
236 |
+
7a,child_prototypical,train,39,545
|
237 |
+
7a,child_prototypical,validation,63,1001
|
238 |
+
7b,child,train,10,780
|
239 |
+
7b,child,validation,7,882
|
240 |
+
7b,child_prototypical,train,39,389
|
241 |
+
7b,child_prototypical,validation,21,182
|
242 |
+
7c,child,train,10,780
|
243 |
+
7c,child,validation,11,878
|
244 |
+
7c,child_prototypical,train,39,428
|
245 |
+
7c,child_prototypical,validation,45,515
|
246 |
+
7d,child,train,10,780
|
247 |
+
7d,child,validation,14,875
|
248 |
+
7d,child_prototypical,train,39,545
|
249 |
+
7d,child_prototypical,validation,63,1001
|
250 |
+
7e,child,train,10,780
|
251 |
+
7e,child,validation,10,879
|
252 |
+
7e,child_prototypical,train,39,428
|
253 |
+
7e,child_prototypical,validation,39,428
|
254 |
+
7f,child,train,10,780
|
255 |
+
7f,child,validation,12,877
|
256 |
+
7f,child_prototypical,train,39,389
|
257 |
+
7f,child_prototypical,validation,51,557
|
258 |
+
7g,child,train,10,780
|
259 |
+
7g,child,validation,9,880
|
260 |
+
7g,child_prototypical,train,39,311
|
261 |
+
7g,child_prototypical,validation,33,248
|
262 |
+
7h,child,train,10,780
|
263 |
+
7h,child,validation,14,875
|
264 |
+
7h,child_prototypical,train,39,350
|
265 |
+
7h,child_prototypical,validation,63,686
|
266 |
+
8,parent,train,80,710
|
267 |
+
8,parent,validation,90,799
|
268 |
+
8a,child,train,10,780
|
269 |
+
8a,child,validation,14,875
|
270 |
+
8a,child_prototypical,train,39,428
|
271 |
+
8a,child_prototypical,validation,63,812
|
272 |
+
8b,child,train,10,780
|
273 |
+
8b,child,validation,7,882
|
274 |
+
8b,child_prototypical,train,39,584
|
275 |
+
8b,child_prototypical,validation,21,287
|
276 |
+
8c,child,train,10,780
|
277 |
+
8c,child,validation,12,877
|
278 |
+
8c,child_prototypical,train,39,389
|
279 |
+
8c,child_prototypical,validation,51,557
|
280 |
+
8d,child,train,10,780
|
281 |
+
8d,child,validation,13,876
|
282 |
+
8d,child_prototypical,train,39,389
|
283 |
+
8d,child_prototypical,validation,57,650
|
284 |
+
8e,child,train,10,780
|
285 |
+
8e,child,validation,11,878
|
286 |
+
8e,child_prototypical,train,39,389
|
287 |
+
8e,child_prototypical,validation,45,470
|
288 |
+
8f,child,train,10,780
|
289 |
+
8f,child,validation,12,877
|
290 |
+
8f,child_prototypical,train,39,428
|
291 |
+
8f,child_prototypical,validation,51,608
|
292 |
+
8g,child,train,10,780
|
293 |
+
8g,child,validation,7,882
|
294 |
+
8g,child_prototypical,train,39,272
|
295 |
+
8g,child_prototypical,validation,21,119
|
296 |
+
8h,child,train,10,780
|
297 |
+
8h,child,validation,14,875
|
298 |
+
8h,child_prototypical,train,39,467
|
299 |
+
8h,child_prototypical,validation,63,875
|
300 |
+
9,parent,train,90,700
|
301 |
+
9,parent,validation,96,793
|
302 |
+
9a,child,train,10,780
|
303 |
+
9a,child,validation,14,875
|
304 |
+
9a,child_prototypical,train,39,350
|
305 |
+
9a,child_prototypical,validation,63,686
|
306 |
+
9b,child,train,10,780
|
307 |
+
9b,child,validation,12,877
|
308 |
+
9b,child_prototypical,train,39,506
|
309 |
+
9b,child_prototypical,validation,51,710
|
310 |
+
9c,child,train,10,780
|
311 |
+
9c,child,validation,7,882
|
312 |
+
9c,child_prototypical,train,39,155
|
313 |
+
9c,child_prototypical,validation,21,56
|
314 |
+
9d,child,train,10,780
|
315 |
+
9d,child,validation,9,880
|
316 |
+
9d,child_prototypical,train,39,662
|
317 |
+
9d,child_prototypical,validation,33,545
|
318 |
+
9e,child,train,10,780
|
319 |
+
9e,child,validation,8,881
|
320 |
+
9e,child_prototypical,train,39,701
|
321 |
+
9e,child_prototypical,validation,27,461
|
322 |
+
9f,child,train,10,780
|
323 |
+
9f,child,validation,10,879
|
324 |
+
9f,child_prototypical,train,39,506
|
325 |
+
9f,child_prototypical,validation,39,506
|
326 |
+
9g,child,train,10,780
|
327 |
+
9g,child,validation,14,875
|
328 |
+
9g,child_prototypical,train,39,389
|
329 |
+
9g,child_prototypical,validation,63,749
|
330 |
+
9h,child,train,10,780
|
331 |
+
9h,child,validation,13,876
|
332 |
+
9h,child_prototypical,train,39,506
|
333 |
+
9h,child_prototypical,validation,57,821
|
334 |
+
9i,child,train,10,780
|
335 |
+
9i,child,validation,9,880
|
336 |
+
9i,child_prototypical,train,39,506
|
337 |
+
9i,child_prototypical,validation,33,413
|
stats.md
CHANGED
@@ -1,170 +1,338 @@
|
|
1 |
-
|
|
2 |
-
|
3 |
-
| 1
|
4 |
-
|
|
5 |
-
|
|
6 |
-
|
|
7 |
-
|
|
8 |
-
|
|
9 |
-
|
|
10 |
-
|
|
11 |
-
|
|
12 |
-
|
|
13 |
-
|
|
14 |
-
|
|
15 |
-
|
|
16 |
-
|
|
17 |
-
|
|
18 |
-
|
|
19 |
-
|
|
20 |
-
|
|
21 |
-
|
|
22 |
-
|
|
23 |
-
|
|
24 |
-
|
|
25 |
-
|
|
26 |
-
|
|
27 |
-
|
|
28 |
-
|
|
29 |
-
|
|
30 |
-
|
|
31 |
-
|
|
32 |
-
|
|
33 |
-
|
|
34 |
-
|
|
35 |
-
|
|
36 |
-
|
|
37 |
-
|
|
38 |
-
|
|
39 |
-
|
|
40 |
-
|
|
41 |
-
|
|
42 |
-
|
|
43 |
-
|
|
44 |
-
|
|
45 |
-
|
|
46 |
-
|
|
47 |
-
|
|
48 |
-
|
|
49 |
-
|
|
50 |
-
|
|
51 |
-
|
|
52 |
-
|
|
53 |
-
|
|
54 |
-
|
|
55 |
-
|
|
56 |
-
|
|
57 |
-
|
|
58 |
-
|
|
59 |
-
|
|
60 |
-
|
|
61 |
-
|
|
62 |
-
|
|
63 |
-
|
|
64 |
-
|
|
65 |
-
|
|
66 |
-
|
|
67 |
-
|
|
68 |
-
|
|
69 |
-
|
|
70 |
-
|
|
71 |
-
|
|
72 |
-
|
|
73 |
-
|
|
74 |
-
|
|
75 |
-
|
|
76 |
-
|
|
77 |
-
|
|
78 |
-
|
|
79 |
-
|
|
80 |
-
|
|
81 |
-
|
|
82 |
-
|
|
83 |
-
|
|
84 |
-
|
|
85 |
-
|
|
86 |
-
|
|
87 |
-
|
|
88 |
-
|
|
89 |
-
|
|
90 |
-
|
|
91 |
-
|
|
92 |
-
|
|
93 |
-
|
|
94 |
-
|
|
95 |
-
|
|
96 |
-
|
|
97 |
-
|
|
98 |
-
|
|
99 |
-
|
|
100 |
-
|
|
101 |
-
|
|
102 |
-
|
|
103 |
-
|
|
104 |
-
|
|
105 |
-
|
|
106 |
-
|
|
107 |
-
|
|
108 |
-
|
|
109 |
-
|
|
110 |
-
|
|
111 |
-
|
|
112 |
-
|
|
113 |
-
|
|
114 |
-
|
|
115 |
-
|
|
116 |
-
|
|
117 |
-
|
|
118 |
-
|
|
119 |
-
|
|
120 |
-
|
|
121 |
-
|
|
122 |
-
|
|
123 |
-
|
|
124 |
-
|
|
125 |
-
|
|
126 |
-
|
|
127 |
-
|
|
128 |
-
|
|
129 |
-
|
|
130 |
-
|
|
131 |
-
|
|
132 |
-
|
|
133 |
-
|
|
134 |
-
|
|
135 |
-
|
|
136 |
-
|
|
137 |
-
|
|
138 |
-
|
|
139 |
-
|
|
140 |
-
|
|
141 |
-
|
|
142 |
-
|
|
143 |
-
|
|
144 |
-
|
|
145 |
-
|
|
146 |
-
|
|
147 |
-
|
|
148 |
-
|
|
149 |
-
|
|
150 |
-
|
|
151 |
-
|
|
152 |
-
|
|
153 |
-
|
|
154 |
-
|
|
155 |
-
|
|
156 |
-
|
|
157 |
-
|
|
158 |
-
|
|
159 |
-
|
|
160 |
-
|
|
161 |
-
|
|
162 |
-
|
|
163 |
-
|
|
164 |
-
|
|
165 |
-
|
|
166 |
-
|
|
167 |
-
|
|
168 |
-
|
|
169 |
-
|
|
170 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
| | positives | negatives |
|
2 |
+
|:--------------------------------------------|------------:|------------:|
|
3 |
+
| ('1', 'parent', 'train') | 110 | 680 |
|
4 |
+
| ('1', 'parent', 'validation') | 129 | 760 |
|
5 |
+
| ('10', 'parent', 'train') | 60 | 730 |
|
6 |
+
| ('10', 'parent', 'validation') | 66 | 823 |
|
7 |
+
| ('10a', 'child', 'train') | 10 | 780 |
|
8 |
+
| ('10a', 'child', 'validation') | 14 | 875 |
|
9 |
+
| ('10a', 'child_prototypical', 'train') | 39 | 506 |
|
10 |
+
| ('10a', 'child_prototypical', 'validation') | 63 | 938 |
|
11 |
+
| ('10b', 'child', 'train') | 10 | 780 |
|
12 |
+
| ('10b', 'child', 'validation') | 13 | 876 |
|
13 |
+
| ('10b', 'child_prototypical', 'train') | 39 | 428 |
|
14 |
+
| ('10b', 'child_prototypical', 'validation') | 57 | 707 |
|
15 |
+
| ('10c', 'child', 'train') | 10 | 780 |
|
16 |
+
| ('10c', 'child', 'validation') | 11 | 878 |
|
17 |
+
| ('10c', 'child_prototypical', 'train') | 39 | 545 |
|
18 |
+
| ('10c', 'child_prototypical', 'validation') | 45 | 650 |
|
19 |
+
| ('10d', 'child', 'train') | 10 | 780 |
|
20 |
+
| ('10d', 'child', 'validation') | 10 | 879 |
|
21 |
+
| ('10d', 'child_prototypical', 'train') | 39 | 506 |
|
22 |
+
| ('10d', 'child_prototypical', 'validation') | 39 | 506 |
|
23 |
+
| ('10e', 'child', 'train') | 10 | 780 |
|
24 |
+
| ('10e', 'child', 'validation') | 8 | 881 |
|
25 |
+
| ('10e', 'child_prototypical', 'train') | 39 | 350 |
|
26 |
+
| ('10e', 'child_prototypical', 'validation') | 27 | 218 |
|
27 |
+
| ('10f', 'child', 'train') | 10 | 780 |
|
28 |
+
| ('10f', 'child', 'validation') | 10 | 879 |
|
29 |
+
| ('10f', 'child_prototypical', 'train') | 39 | 506 |
|
30 |
+
| ('10f', 'child_prototypical', 'validation') | 39 | 506 |
|
31 |
+
| ('1a', 'child', 'train') | 10 | 780 |
|
32 |
+
| ('1a', 'child', 'validation') | 14 | 875 |
|
33 |
+
| ('1a', 'child_prototypical', 'train') | 39 | 428 |
|
34 |
+
| ('1a', 'child_prototypical', 'validation') | 63 | 812 |
|
35 |
+
| ('1b', 'child', 'train') | 10 | 780 |
|
36 |
+
| ('1b', 'child', 'validation') | 14 | 875 |
|
37 |
+
| ('1b', 'child_prototypical', 'train') | 39 | 428 |
|
38 |
+
| ('1b', 'child_prototypical', 'validation') | 63 | 812 |
|
39 |
+
| ('1c', 'child', 'train') | 10 | 780 |
|
40 |
+
| ('1c', 'child', 'validation') | 11 | 878 |
|
41 |
+
| ('1c', 'child_prototypical', 'train') | 39 | 545 |
|
42 |
+
| ('1c', 'child_prototypical', 'validation') | 45 | 650 |
|
43 |
+
| ('1d', 'child', 'train') | 10 | 780 |
|
44 |
+
| ('1d', 'child', 'validation') | 16 | 873 |
|
45 |
+
| ('1d', 'child_prototypical', 'train') | 39 | 428 |
|
46 |
+
| ('1d', 'child_prototypical', 'validation') | 75 | 1040 |
|
47 |
+
| ('1e', 'child', 'train') | 10 | 780 |
|
48 |
+
| ('1e', 'child', 'validation') | 8 | 881 |
|
49 |
+
| ('1e', 'child_prototypical', 'train') | 39 | 311 |
|
50 |
+
| ('1e', 'child_prototypical', 'validation') | 27 | 191 |
|
51 |
+
| ('2', 'parent', 'train') | 100 | 690 |
|
52 |
+
| ('2', 'parent', 'validation') | 117 | 772 |
|
53 |
+
| ('2a', 'child', 'train') | 10 | 780 |
|
54 |
+
| ('2a', 'child', 'validation') | 15 | 874 |
|
55 |
+
| ('2a', 'child_prototypical', 'train') | 39 | 506 |
|
56 |
+
| ('2a', 'child_prototypical', 'validation') | 69 | 1061 |
|
57 |
+
| ('2b', 'child', 'train') | 10 | 780 |
|
58 |
+
| ('2b', 'child', 'validation') | 11 | 878 |
|
59 |
+
| ('2b', 'child_prototypical', 'train') | 39 | 389 |
|
60 |
+
| ('2b', 'child_prototypical', 'validation') | 45 | 470 |
|
61 |
+
| ('2c', 'child', 'train') | 10 | 780 |
|
62 |
+
| ('2c', 'child', 'validation') | 13 | 876 |
|
63 |
+
| ('2c', 'child_prototypical', 'train') | 39 | 467 |
|
64 |
+
| ('2c', 'child_prototypical', 'validation') | 57 | 764 |
|
65 |
+
| ('2d', 'child', 'train') | 10 | 780 |
|
66 |
+
| ('2d', 'child', 'validation') | 10 | 879 |
|
67 |
+
| ('2d', 'child_prototypical', 'train') | 39 | 467 |
|
68 |
+
| ('2d', 'child_prototypical', 'validation') | 39 | 467 |
|
69 |
+
| ('2e', 'child', 'train') | 10 | 780 |
|
70 |
+
| ('2e', 'child', 'validation') | 11 | 878 |
|
71 |
+
| ('2e', 'child_prototypical', 'train') | 39 | 506 |
|
72 |
+
| ('2e', 'child_prototypical', 'validation') | 45 | 605 |
|
73 |
+
| ('2f', 'child', 'train') | 10 | 780 |
|
74 |
+
| ('2f', 'child', 'validation') | 11 | 878 |
|
75 |
+
| ('2f', 'child_prototypical', 'train') | 39 | 623 |
|
76 |
+
| ('2f', 'child_prototypical', 'validation') | 45 | 740 |
|
77 |
+
| ('2g', 'child', 'train') | 10 | 780 |
|
78 |
+
| ('2g', 'child', 'validation') | 16 | 873 |
|
79 |
+
| ('2g', 'child_prototypical', 'train') | 39 | 389 |
|
80 |
+
| ('2g', 'child_prototypical', 'validation') | 75 | 965 |
|
81 |
+
| ('2h', 'child', 'train') | 10 | 780 |
|
82 |
+
| ('2h', 'child', 'validation') | 11 | 878 |
|
83 |
+
| ('2h', 'child_prototypical', 'train') | 39 | 506 |
|
84 |
+
| ('2h', 'child_prototypical', 'validation') | 45 | 605 |
|
85 |
+
| ('2i', 'child', 'train') | 10 | 780 |
|
86 |
+
| ('2i', 'child', 'validation') | 9 | 880 |
|
87 |
+
| ('2i', 'child_prototypical', 'train') | 39 | 545 |
|
88 |
+
| ('2i', 'child_prototypical', 'validation') | 33 | 446 |
|
89 |
+
| ('2j', 'child', 'train') | 10 | 780 |
|
90 |
+
| ('2j', 'child', 'validation') | 10 | 879 |
|
91 |
+
| ('2j', 'child_prototypical', 'train') | 39 | 584 |
|
92 |
+
| ('2j', 'child_prototypical', 'validation') | 39 | 584 |
|
93 |
+
| ('3', 'parent', 'train') | 80 | 710 |
|
94 |
+
| ('3', 'parent', 'validation') | 80 | 809 |
|
95 |
+
| ('3a', 'child', 'train') | 10 | 780 |
|
96 |
+
| ('3a', 'child', 'validation') | 11 | 878 |
|
97 |
+
| ('3a', 'child_prototypical', 'train') | 39 | 506 |
|
98 |
+
| ('3a', 'child_prototypical', 'validation') | 45 | 605 |
|
99 |
+
| ('3b', 'child', 'train') | 10 | 780 |
|
100 |
+
| ('3b', 'child', 'validation') | 11 | 878 |
|
101 |
+
| ('3b', 'child_prototypical', 'train') | 39 | 623 |
|
102 |
+
| ('3b', 'child_prototypical', 'validation') | 45 | 740 |
|
103 |
+
| ('3c', 'child', 'train') | 10 | 780 |
|
104 |
+
| ('3c', 'child', 'validation') | 12 | 877 |
|
105 |
+
| ('3c', 'child_prototypical', 'train') | 39 | 467 |
|
106 |
+
| ('3c', 'child_prototypical', 'validation') | 51 | 659 |
|
107 |
+
| ('3d', 'child', 'train') | 10 | 780 |
|
108 |
+
| ('3d', 'child', 'validation') | 14 | 875 |
|
109 |
+
| ('3d', 'child_prototypical', 'train') | 39 | 467 |
|
110 |
+
| ('3d', 'child_prototypical', 'validation') | 63 | 875 |
|
111 |
+
| ('3e', 'child', 'train') | 10 | 780 |
|
112 |
+
| ('3e', 'child', 'validation') | 5 | 884 |
|
113 |
+
| ('3e', 'child_prototypical', 'train') | 39 | 623 |
|
114 |
+
| ('3e', 'child_prototypical', 'validation') | 10 | 140 |
|
115 |
+
| ('3f', 'child', 'train') | 10 | 780 |
|
116 |
+
| ('3f', 'child', 'validation') | 11 | 878 |
|
117 |
+
| ('3f', 'child_prototypical', 'train') | 39 | 662 |
|
118 |
+
| ('3f', 'child_prototypical', 'validation') | 45 | 785 |
|
119 |
+
| ('3g', 'child', 'train') | 10 | 780 |
|
120 |
+
| ('3g', 'child', 'validation') | 6 | 883 |
|
121 |
+
| ('3g', 'child_prototypical', 'train') | 39 | 584 |
|
122 |
+
| ('3g', 'child_prototypical', 'validation') | 15 | 200 |
|
123 |
+
| ('3h', 'child', 'train') | 10 | 780 |
|
124 |
+
| ('3h', 'child', 'validation') | 10 | 879 |
|
125 |
+
| ('3h', 'child_prototypical', 'train') | 39 | 584 |
|
126 |
+
| ('3h', 'child_prototypical', 'validation') | 39 | 584 |
|
127 |
+
| ('4', 'parent', 'train') | 80 | 710 |
|
128 |
+
| ('4', 'parent', 'validation') | 82 | 807 |
|
129 |
+
| ('4a', 'child', 'train') | 10 | 780 |
|
130 |
+
| ('4a', 'child', 'validation') | 11 | 878 |
|
131 |
+
| ('4a', 'child_prototypical', 'train') | 39 | 623 |
|
132 |
+
| ('4a', 'child_prototypical', 'validation') | 45 | 740 |
|
133 |
+
| ('4b', 'child', 'train') | 10 | 780 |
|
134 |
+
| ('4b', 'child', 'validation') | 7 | 882 |
|
135 |
+
| ('4b', 'child_prototypical', 'train') | 39 | 428 |
|
136 |
+
| ('4b', 'child_prototypical', 'validation') | 21 | 203 |
|
137 |
+
| ('4c', 'child', 'train') | 10 | 780 |
|
138 |
+
| ('4c', 'child', 'validation') | 12 | 877 |
|
139 |
+
| ('4c', 'child_prototypical', 'train') | 39 | 545 |
|
140 |
+
| ('4c', 'child_prototypical', 'validation') | 51 | 761 |
|
141 |
+
| ('4d', 'child', 'train') | 10 | 780 |
|
142 |
+
| ('4d', 'child', 'validation') | 4 | 885 |
|
143 |
+
| ('4d', 'child_prototypical', 'train') | 39 | 389 |
|
144 |
+
| ('4d', 'child_prototypical', 'validation') | 6 | 46 |
|
145 |
+
| ('4e', 'child', 'train') | 10 | 780 |
|
146 |
+
| ('4e', 'child', 'validation') | 12 | 877 |
|
147 |
+
| ('4e', 'child_prototypical', 'train') | 39 | 623 |
|
148 |
+
| ('4e', 'child_prototypical', 'validation') | 51 | 863 |
|
149 |
+
| ('4f', 'child', 'train') | 10 | 780 |
|
150 |
+
| ('4f', 'child', 'validation') | 9 | 880 |
|
151 |
+
| ('4f', 'child_prototypical', 'train') | 39 | 623 |
|
152 |
+
| ('4f', 'child_prototypical', 'validation') | 33 | 512 |
|
153 |
+
| ('4g', 'child', 'train') | 10 | 780 |
|
154 |
+
| ('4g', 'child', 'validation') | 15 | 874 |
|
155 |
+
| ('4g', 'child_prototypical', 'train') | 39 | 467 |
|
156 |
+
| ('4g', 'child_prototypical', 'validation') | 69 | 992 |
|
157 |
+
| ('4h', 'child', 'train') | 10 | 780 |
|
158 |
+
| ('4h', 'child', 'validation') | 12 | 877 |
|
159 |
+
| ('4h', 'child_prototypical', 'train') | 39 | 584 |
|
160 |
+
| ('4h', 'child_prototypical', 'validation') | 51 | 812 |
|
161 |
+
| ('5', 'parent', 'train') | 90 | 700 |
|
162 |
+
| ('5', 'parent', 'validation') | 105 | 784 |
|
163 |
+
| ('5a', 'child', 'train') | 10 | 780 |
|
164 |
+
| ('5a', 'child', 'validation') | 14 | 875 |
|
165 |
+
| ('5a', 'child_prototypical', 'train') | 39 | 467 |
|
166 |
+
| ('5a', 'child_prototypical', 'validation') | 63 | 875 |
|
167 |
+
| ('5b', 'child', 'train') | 10 | 780 |
|
168 |
+
| ('5b', 'child', 'validation') | 8 | 881 |
|
169 |
+
| ('5b', 'child_prototypical', 'train') | 39 | 584 |
|
170 |
+
| ('5b', 'child_prototypical', 'validation') | 27 | 380 |
|
171 |
+
| ('5c', 'child', 'train') | 10 | 780 |
|
172 |
+
| ('5c', 'child', 'validation') | 11 | 878 |
|
173 |
+
| ('5c', 'child_prototypical', 'train') | 39 | 506 |
|
174 |
+
| ('5c', 'child_prototypical', 'validation') | 45 | 605 |
|
175 |
+
| ('5d', 'child', 'train') | 10 | 780 |
|
176 |
+
| ('5d', 'child', 'validation') | 15 | 874 |
|
177 |
+
| ('5d', 'child_prototypical', 'train') | 39 | 428 |
|
178 |
+
| ('5d', 'child_prototypical', 'validation') | 69 | 923 |
|
179 |
+
| ('5e', 'child', 'train') | 10 | 780 |
|
180 |
+
| ('5e', 'child', 'validation') | 8 | 881 |
|
181 |
+
| ('5e', 'child_prototypical', 'train') | 39 | 584 |
|
182 |
+
| ('5e', 'child_prototypical', 'validation') | 27 | 380 |
|
183 |
+
| ('5f', 'child', 'train') | 10 | 780 |
|
184 |
+
| ('5f', 'child', 'validation') | 11 | 878 |
|
185 |
+
| ('5f', 'child_prototypical', 'train') | 39 | 584 |
|
186 |
+
| ('5f', 'child_prototypical', 'validation') | 45 | 695 |
|
187 |
+
| ('5g', 'child', 'train') | 10 | 780 |
|
188 |
+
| ('5g', 'child', 'validation') | 9 | 880 |
|
189 |
+
| ('5g', 'child_prototypical', 'train') | 39 | 623 |
|
190 |
+
| ('5g', 'child_prototypical', 'validation') | 33 | 512 |
|
191 |
+
| ('5h', 'child', 'train') | 10 | 780 |
|
192 |
+
| ('5h', 'child', 'validation') | 15 | 874 |
|
193 |
+
| ('5h', 'child_prototypical', 'train') | 39 | 545 |
|
194 |
+
| ('5h', 'child_prototypical', 'validation') | 69 | 1130 |
|
195 |
+
| ('5i', 'child', 'train') | 10 | 780 |
|
196 |
+
| ('5i', 'child', 'validation') | 14 | 875 |
|
197 |
+
| ('5i', 'child_prototypical', 'train') | 39 | 545 |
|
198 |
+
| ('5i', 'child_prototypical', 'validation') | 63 | 1001 |
|
199 |
+
| ('6', 'parent', 'train') | 80 | 710 |
|
200 |
+
| ('6', 'parent', 'validation') | 99 | 790 |
|
201 |
+
| ('6a', 'child', 'train') | 10 | 780 |
|
202 |
+
| ('6a', 'child', 'validation') | 15 | 874 |
|
203 |
+
| ('6a', 'child_prototypical', 'train') | 39 | 467 |
|
204 |
+
| ('6a', 'child_prototypical', 'validation') | 69 | 992 |
|
205 |
+
| ('6b', 'child', 'train') | 10 | 780 |
|
206 |
+
| ('6b', 'child', 'validation') | 11 | 878 |
|
207 |
+
| ('6b', 'child_prototypical', 'train') | 39 | 584 |
|
208 |
+
| ('6b', 'child_prototypical', 'validation') | 45 | 695 |
|
209 |
+
| ('6c', 'child', 'train') | 10 | 780 |
|
210 |
+
| ('6c', 'child', 'validation') | 13 | 876 |
|
211 |
+
| ('6c', 'child_prototypical', 'train') | 39 | 584 |
|
212 |
+
| ('6c', 'child_prototypical', 'validation') | 57 | 935 |
|
213 |
+
| ('6d', 'child', 'train') | 10 | 780 |
|
214 |
+
| ('6d', 'child', 'validation') | 10 | 879 |
|
215 |
+
| ('6d', 'child_prototypical', 'train') | 39 | 701 |
|
216 |
+
| ('6d', 'child_prototypical', 'validation') | 39 | 701 |
|
217 |
+
| ('6e', 'child', 'train') | 10 | 780 |
|
218 |
+
| ('6e', 'child', 'validation') | 11 | 878 |
|
219 |
+
| ('6e', 'child_prototypical', 'train') | 39 | 584 |
|
220 |
+
| ('6e', 'child_prototypical', 'validation') | 45 | 695 |
|
221 |
+
| ('6f', 'child', 'train') | 10 | 780 |
|
222 |
+
| ('6f', 'child', 'validation') | 12 | 877 |
|
223 |
+
| ('6f', 'child_prototypical', 'train') | 39 | 506 |
|
224 |
+
| ('6f', 'child_prototypical', 'validation') | 51 | 710 |
|
225 |
+
| ('6g', 'child', 'train') | 10 | 780 |
|
226 |
+
| ('6g', 'child', 'validation') | 12 | 877 |
|
227 |
+
| ('6g', 'child_prototypical', 'train') | 39 | 467 |
|
228 |
+
| ('6g', 'child_prototypical', 'validation') | 51 | 659 |
|
229 |
+
| ('6h', 'child', 'train') | 10 | 780 |
|
230 |
+
| ('6h', 'child', 'validation') | 15 | 874 |
|
231 |
+
| ('6h', 'child_prototypical', 'train') | 39 | 506 |
|
232 |
+
| ('6h', 'child_prototypical', 'validation') | 69 | 1061 |
|
233 |
+
| ('7', 'parent', 'train') | 80 | 710 |
|
234 |
+
| ('7', 'parent', 'validation') | 91 | 798 |
|
235 |
+
| ('7a', 'child', 'train') | 10 | 780 |
|
236 |
+
| ('7a', 'child', 'validation') | 14 | 875 |
|
237 |
+
| ('7a', 'child_prototypical', 'train') | 39 | 545 |
|
238 |
+
| ('7a', 'child_prototypical', 'validation') | 63 | 1001 |
|
239 |
+
| ('7b', 'child', 'train') | 10 | 780 |
|
240 |
+
| ('7b', 'child', 'validation') | 7 | 882 |
|
241 |
+
| ('7b', 'child_prototypical', 'train') | 39 | 389 |
|
242 |
+
| ('7b', 'child_prototypical', 'validation') | 21 | 182 |
|
243 |
+
| ('7c', 'child', 'train') | 10 | 780 |
|
244 |
+
| ('7c', 'child', 'validation') | 11 | 878 |
|
245 |
+
| ('7c', 'child_prototypical', 'train') | 39 | 428 |
|
246 |
+
| ('7c', 'child_prototypical', 'validation') | 45 | 515 |
|
247 |
+
| ('7d', 'child', 'train') | 10 | 780 |
|
248 |
+
| ('7d', 'child', 'validation') | 14 | 875 |
|
249 |
+
| ('7d', 'child_prototypical', 'train') | 39 | 545 |
|
250 |
+
| ('7d', 'child_prototypical', 'validation') | 63 | 1001 |
|
251 |
+
| ('7e', 'child', 'train') | 10 | 780 |
|
252 |
+
| ('7e', 'child', 'validation') | 10 | 879 |
|
253 |
+
| ('7e', 'child_prototypical', 'train') | 39 | 428 |
|
254 |
+
| ('7e', 'child_prototypical', 'validation') | 39 | 428 |
|
255 |
+
| ('7f', 'child', 'train') | 10 | 780 |
|
256 |
+
| ('7f', 'child', 'validation') | 12 | 877 |
|
257 |
+
| ('7f', 'child_prototypical', 'train') | 39 | 389 |
|
258 |
+
| ('7f', 'child_prototypical', 'validation') | 51 | 557 |
|
259 |
+
| ('7g', 'child', 'train') | 10 | 780 |
|
260 |
+
| ('7g', 'child', 'validation') | 9 | 880 |
|
261 |
+
| ('7g', 'child_prototypical', 'train') | 39 | 311 |
|
262 |
+
| ('7g', 'child_prototypical', 'validation') | 33 | 248 |
|
263 |
+
| ('7h', 'child', 'train') | 10 | 780 |
|
264 |
+
| ('7h', 'child', 'validation') | 14 | 875 |
|
265 |
+
| ('7h', 'child_prototypical', 'train') | 39 | 350 |
|
266 |
+
| ('7h', 'child_prototypical', 'validation') | 63 | 686 |
|
267 |
+
| ('8', 'parent', 'train') | 80 | 710 |
|
268 |
+
| ('8', 'parent', 'validation') | 90 | 799 |
|
269 |
+
| ('8a', 'child', 'train') | 10 | 780 |
|
270 |
+
| ('8a', 'child', 'validation') | 14 | 875 |
|
271 |
+
| ('8a', 'child_prototypical', 'train') | 39 | 428 |
|
272 |
+
| ('8a', 'child_prototypical', 'validation') | 63 | 812 |
|
273 |
+
| ('8b', 'child', 'train') | 10 | 780 |
|
274 |
+
| ('8b', 'child', 'validation') | 7 | 882 |
|
275 |
+
| ('8b', 'child_prototypical', 'train') | 39 | 584 |
|
276 |
+
| ('8b', 'child_prototypical', 'validation') | 21 | 287 |
|
277 |
+
| ('8c', 'child', 'train') | 10 | 780 |
|
278 |
+
| ('8c', 'child', 'validation') | 12 | 877 |
|
279 |
+
| ('8c', 'child_prototypical', 'train') | 39 | 389 |
|
280 |
+
| ('8c', 'child_prototypical', 'validation') | 51 | 557 |
|
281 |
+
| ('8d', 'child', 'train') | 10 | 780 |
|
282 |
+
| ('8d', 'child', 'validation') | 13 | 876 |
|
283 |
+
| ('8d', 'child_prototypical', 'train') | 39 | 389 |
|
284 |
+
| ('8d', 'child_prototypical', 'validation') | 57 | 650 |
|
285 |
+
| ('8e', 'child', 'train') | 10 | 780 |
|
286 |
+
| ('8e', 'child', 'validation') | 11 | 878 |
|
287 |
+
| ('8e', 'child_prototypical', 'train') | 39 | 389 |
|
288 |
+
| ('8e', 'child_prototypical', 'validation') | 45 | 470 |
|
289 |
+
| ('8f', 'child', 'train') | 10 | 780 |
|
290 |
+
| ('8f', 'child', 'validation') | 12 | 877 |
|
291 |
+
| ('8f', 'child_prototypical', 'train') | 39 | 428 |
|
292 |
+
| ('8f', 'child_prototypical', 'validation') | 51 | 608 |
|
293 |
+
| ('8g', 'child', 'train') | 10 | 780 |
|
294 |
+
| ('8g', 'child', 'validation') | 7 | 882 |
|
295 |
+
| ('8g', 'child_prototypical', 'train') | 39 | 272 |
|
296 |
+
| ('8g', 'child_prototypical', 'validation') | 21 | 119 |
|
297 |
+
| ('8h', 'child', 'train') | 10 | 780 |
|
298 |
+
| ('8h', 'child', 'validation') | 14 | 875 |
|
299 |
+
| ('8h', 'child_prototypical', 'train') | 39 | 467 |
|
300 |
+
| ('8h', 'child_prototypical', 'validation') | 63 | 875 |
|
301 |
+
| ('9', 'parent', 'train') | 90 | 700 |
|
302 |
+
| ('9', 'parent', 'validation') | 96 | 793 |
|
303 |
+
| ('9a', 'child', 'train') | 10 | 780 |
|
304 |
+
| ('9a', 'child', 'validation') | 14 | 875 |
|
305 |
+
| ('9a', 'child_prototypical', 'train') | 39 | 350 |
|
306 |
+
| ('9a', 'child_prototypical', 'validation') | 63 | 686 |
|
307 |
+
| ('9b', 'child', 'train') | 10 | 780 |
|
308 |
+
| ('9b', 'child', 'validation') | 12 | 877 |
|
309 |
+
| ('9b', 'child_prototypical', 'train') | 39 | 506 |
|
310 |
+
| ('9b', 'child_prototypical', 'validation') | 51 | 710 |
|
311 |
+
| ('9c', 'child', 'train') | 10 | 780 |
|
312 |
+
| ('9c', 'child', 'validation') | 7 | 882 |
|
313 |
+
| ('9c', 'child_prototypical', 'train') | 39 | 155 |
|
314 |
+
| ('9c', 'child_prototypical', 'validation') | 21 | 56 |
|
315 |
+
| ('9d', 'child', 'train') | 10 | 780 |
|
316 |
+
| ('9d', 'child', 'validation') | 9 | 880 |
|
317 |
+
| ('9d', 'child_prototypical', 'train') | 39 | 662 |
|
318 |
+
| ('9d', 'child_prototypical', 'validation') | 33 | 545 |
|
319 |
+
| ('9e', 'child', 'train') | 10 | 780 |
|
320 |
+
| ('9e', 'child', 'validation') | 8 | 881 |
|
321 |
+
| ('9e', 'child_prototypical', 'train') | 39 | 701 |
|
322 |
+
| ('9e', 'child_prototypical', 'validation') | 27 | 461 |
|
323 |
+
| ('9f', 'child', 'train') | 10 | 780 |
|
324 |
+
| ('9f', 'child', 'validation') | 10 | 879 |
|
325 |
+
| ('9f', 'child_prototypical', 'train') | 39 | 506 |
|
326 |
+
| ('9f', 'child_prototypical', 'validation') | 39 | 506 |
|
327 |
+
| ('9g', 'child', 'train') | 10 | 780 |
|
328 |
+
| ('9g', 'child', 'validation') | 14 | 875 |
|
329 |
+
| ('9g', 'child_prototypical', 'train') | 39 | 389 |
|
330 |
+
| ('9g', 'child_prototypical', 'validation') | 63 | 749 |
|
331 |
+
| ('9h', 'child', 'train') | 10 | 780 |
|
332 |
+
| ('9h', 'child', 'validation') | 13 | 876 |
|
333 |
+
| ('9h', 'child_prototypical', 'train') | 39 | 506 |
|
334 |
+
| ('9h', 'child_prototypical', 'validation') | 57 | 821 |
|
335 |
+
| ('9i', 'child', 'train') | 10 | 780 |
|
336 |
+
| ('9i', 'child', 'validation') | 9 | 880 |
|
337 |
+
| ('9i', 'child_prototypical', 'train') | 39 | 506 |
|
338 |
+
| ('9i', 'child_prototypical', 'validation') | 33 | 413 |
|