update viz util
This commit is contained in:
parent
53443a4026
commit
45ce0c995b
15
data/icews14_both/about.txt
Normal file
15
data/icews14_both/about.txt
Normal file
@ -0,0 +1,15 @@
|
||||
# triples: 86517
|
||||
# entities: 7128
|
||||
# relations: 12409
|
||||
# timesteps: 208
|
||||
# test triples: 8218
|
||||
# valid triples: 8193
|
||||
# train triples: 70106
|
||||
Measure method: N/A
|
||||
Target Size : 0
|
||||
Grow Factor: 0
|
||||
Shrink Factor: 0
|
||||
Epsilon Factor: 0
|
||||
Search method: N/A
|
||||
filter_dupes: both
|
||||
nonames: False
|
||||
7128
data/icews14_both/entities.dict
Normal file
7128
data/icews14_both/entities.dict
Normal file
File diff suppressed because it is too large
Load Diff
12409
data/icews14_both/relations.dict
Normal file
12409
data/icews14_both/relations.dict
Normal file
File diff suppressed because it is too large
Load Diff
8218
data/icews14_both/test.txt
Normal file
8218
data/icews14_both/test.txt
Normal file
File diff suppressed because it is too large
Load Diff
209
data/icews14_both/time_map.dict
Normal file
209
data/icews14_both/time_map.dict
Normal file
@ -0,0 +1,209 @@
|
||||
0 0 2
|
||||
1 3 5
|
||||
2 6 7
|
||||
3 8 9
|
||||
4 10 12
|
||||
5 13 14
|
||||
6 15 16
|
||||
7 17 19
|
||||
8 20 21
|
||||
9 22 23
|
||||
10 24 26
|
||||
11 27 28
|
||||
12 29 30
|
||||
13 31 33
|
||||
14 34 35
|
||||
15 36 37
|
||||
16 38 40
|
||||
17 41 42
|
||||
18 43 44
|
||||
19 45 46
|
||||
20 47 48
|
||||
21 49 49
|
||||
22 50 50
|
||||
23 51 51
|
||||
24 52 53
|
||||
25 54 54
|
||||
26 55 55
|
||||
27 56 57
|
||||
28 58 59
|
||||
29 60 61
|
||||
30 62 62
|
||||
31 63 63
|
||||
32 64 65
|
||||
33 66 68
|
||||
34 69 70
|
||||
35 71 71
|
||||
36 72 72
|
||||
37 73 74
|
||||
38 75 76
|
||||
39 77 78
|
||||
40 79 80
|
||||
41 81 82
|
||||
42 83 84
|
||||
43 85 85
|
||||
44 86 87
|
||||
45 88 89
|
||||
46 90 91
|
||||
47 92 93
|
||||
48 94 96
|
||||
49 97 97
|
||||
50 98 99
|
||||
51 100 101
|
||||
52 102 103
|
||||
53 104 105
|
||||
54 106 107
|
||||
55 108 110
|
||||
56 111 112
|
||||
57 113 114
|
||||
58 115 116
|
||||
59 117 118
|
||||
60 119 119
|
||||
61 120 121
|
||||
62 122 124
|
||||
63 125 125
|
||||
64 126 127
|
||||
65 128 129
|
||||
66 130 131
|
||||
67 132 133
|
||||
68 134 135
|
||||
69 136 138
|
||||
70 139 139
|
||||
71 140 140
|
||||
72 141 141
|
||||
73 142 143
|
||||
74 144 145
|
||||
75 146 147
|
||||
76 148 148
|
||||
77 149 150
|
||||
78 151 152
|
||||
79 153 154
|
||||
80 155 155
|
||||
81 156 157
|
||||
82 158 159
|
||||
83 160 161
|
||||
84 162 163
|
||||
85 164 166
|
||||
86 167 167
|
||||
87 168 168
|
||||
88 169 169
|
||||
89 170 170
|
||||
90 171 173
|
||||
91 174 175
|
||||
92 176 177
|
||||
93 178 180
|
||||
94 181 182
|
||||
95 183 183
|
||||
96 184 185
|
||||
97 186 187
|
||||
98 188 188
|
||||
99 189 190
|
||||
100 191 192
|
||||
101 193 194
|
||||
102 195 195
|
||||
103 196 197
|
||||
104 198 199
|
||||
105 200 201
|
||||
106 202 203
|
||||
107 204 205
|
||||
108 206 208
|
||||
109 209 210
|
||||
110 211 212
|
||||
111 213 215
|
||||
112 216 217
|
||||
113 218 219
|
||||
114 220 221
|
||||
115 222 222
|
||||
116 223 224
|
||||
117 225 226
|
||||
118 227 229
|
||||
119 230 231
|
||||
120 232 233
|
||||
121 234 236
|
||||
122 237 238
|
||||
123 239 239
|
||||
124 240 241
|
||||
125 242 243
|
||||
126 244 245
|
||||
127 246 246
|
||||
128 247 248
|
||||
129 249 250
|
||||
130 251 251
|
||||
131 252 252
|
||||
132 253 253
|
||||
133 254 254
|
||||
134 255 256
|
||||
135 257 257
|
||||
136 258 259
|
||||
137 260 261
|
||||
138 262 263
|
||||
139 264 264
|
||||
140 265 265
|
||||
141 266 266
|
||||
142 267 267
|
||||
143 268 269
|
||||
144 270 271
|
||||
145 272 272
|
||||
146 273 273
|
||||
147 274 274
|
||||
148 275 276
|
||||
149 277 278
|
||||
150 279 279
|
||||
151 280 281
|
||||
152 282 283
|
||||
153 284 285
|
||||
154 286 286
|
||||
155 287 287
|
||||
156 288 288
|
||||
157 289 289
|
||||
158 290 291
|
||||
159 292 292
|
||||
160 293 293
|
||||
161 294 294
|
||||
162 295 295
|
||||
163 296 297
|
||||
164 298 299
|
||||
165 300 300
|
||||
166 301 301
|
||||
167 302 303
|
||||
168 304 305
|
||||
169 306 307
|
||||
170 308 309
|
||||
171 310 310
|
||||
172 311 312
|
||||
173 313 313
|
||||
174 314 314
|
||||
175 315 315
|
||||
176 316 316
|
||||
177 317 317
|
||||
178 318 319
|
||||
179 320 320
|
||||
180 321 321
|
||||
181 322 322
|
||||
182 323 323
|
||||
183 324 324
|
||||
184 325 326
|
||||
185 327 327
|
||||
186 328 328
|
||||
187 329 329
|
||||
188 330 330
|
||||
189 331 332
|
||||
190 333 334
|
||||
191 335 335
|
||||
192 336 336
|
||||
193 337 338
|
||||
194 339 340
|
||||
195 341 342
|
||||
196 343 343
|
||||
197 344 344
|
||||
198 345 346
|
||||
199 347 348
|
||||
200 349 349
|
||||
201 350 350
|
||||
202 351 352
|
||||
203 353 355
|
||||
204 356 357
|
||||
205 358 359
|
||||
206 360 362
|
||||
207 363 365
|
||||
208 366 366
|
||||
70106
data/icews14_both/train.txt
Normal file
70106
data/icews14_both/train.txt
Normal file
File diff suppressed because it is too large
Load Diff
8193
data/icews14_both/valid.txt
Normal file
8193
data/icews14_both/valid.txt
Normal file
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
504678
data/wikidata12k/train.txt
504678
data/wikidata12k/train.txt
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
15
data/wikidata12k_both/about.txt
Normal file
15
data/wikidata12k_both/about.txt
Normal file
@ -0,0 +1,15 @@
|
||||
# triples: 231529
|
||||
# entities: 12554
|
||||
# relations: 423
|
||||
# timesteps: 70
|
||||
# test triples: 16195
|
||||
# valid triples: 16707
|
||||
# train triples: 198627
|
||||
Measure method: N/A
|
||||
Target Size : 423
|
||||
Grow Factor: 0
|
||||
Shrink Factor: 4.0
|
||||
Epsilon Factor: 0
|
||||
Search method: N/A
|
||||
filter_dupes: both
|
||||
nonames: False
|
||||
40621
data/wikidata12k_both/complete_type.txt
Normal file
40621
data/wikidata12k_both/complete_type.txt
Normal file
File diff suppressed because it is too large
Load Diff
12554
data/wikidata12k_both/entities.dict
Normal file
12554
data/wikidata12k_both/entities.dict
Normal file
File diff suppressed because it is too large
Load Diff
423
data/wikidata12k_both/relations.dict
Normal file
423
data/wikidata12k_both/relations.dict
Normal file
@ -0,0 +1,423 @@
|
||||
0 P131[0-0]
|
||||
1 P131[1-1]
|
||||
2 P131[2-2]
|
||||
3 P131[3-3]
|
||||
4 P131[4-4]
|
||||
5 P131[5-5]
|
||||
6 P131[6-6]
|
||||
7 P131[7-7]
|
||||
8 P131[8-8]
|
||||
9 P131[9-9]
|
||||
10 P131[10-10]
|
||||
11 P131[11-11]
|
||||
12 P131[12-12]
|
||||
13 P131[13-13]
|
||||
14 P131[14-14]
|
||||
15 P131[15-15]
|
||||
16 P131[16-16]
|
||||
17 P131[17-17]
|
||||
18 P131[18-18]
|
||||
19 P131[19-19]
|
||||
20 P131[20-20]
|
||||
21 P131[21-21]
|
||||
22 P131[22-22]
|
||||
23 P131[23-23]
|
||||
24 P131[24-24]
|
||||
25 P131[25-25]
|
||||
26 P131[26-26]
|
||||
27 P131[27-27]
|
||||
28 P131[28-28]
|
||||
29 P131[29-29]
|
||||
30 P131[30-30]
|
||||
31 P131[31-31]
|
||||
32 P131[32-32]
|
||||
33 P131[33-33]
|
||||
34 P131[34-34]
|
||||
35 P131[35-35]
|
||||
36 P131[36-36]
|
||||
37 P131[37-37]
|
||||
38 P131[38-38]
|
||||
39 P131[39-39]
|
||||
40 P131[40-40]
|
||||
41 P131[41-41]
|
||||
42 P131[42-42]
|
||||
43 P131[43-43]
|
||||
44 P131[44-44]
|
||||
45 P131[45-45]
|
||||
46 P131[46-46]
|
||||
47 P131[47-47]
|
||||
48 P131[48-48]
|
||||
49 P131[49-49]
|
||||
50 P131[50-50]
|
||||
51 P131[51-51]
|
||||
52 P131[52-52]
|
||||
53 P131[53-53]
|
||||
54 P131[54-54]
|
||||
55 P131[55-55]
|
||||
56 P131[56-56]
|
||||
57 P131[57-57]
|
||||
58 P131[58-58]
|
||||
59 P131[59-59]
|
||||
60 P131[60-60]
|
||||
61 P131[61-61]
|
||||
62 P131[62-62]
|
||||
63 P131[63-63]
|
||||
64 P131[64-64]
|
||||
65 P131[65-65]
|
||||
66 P131[66-66]
|
||||
67 P131[67-67]
|
||||
68 P131[68-68]
|
||||
69 P131[69-69]
|
||||
70 P1435[65-65]
|
||||
71 P39[49-49]
|
||||
72 P39[50-50]
|
||||
73 P39[51-51]
|
||||
74 P39[52-52]
|
||||
75 P39[53-53]
|
||||
76 P39[54-54]
|
||||
77 P39[55-55]
|
||||
78 P39[56-56]
|
||||
79 P39[57-57]
|
||||
80 P39[58-58]
|
||||
81 P39[59-59]
|
||||
82 P39[60-60]
|
||||
83 P39[61-61]
|
||||
84 P39[62-62]
|
||||
85 P39[63-63]
|
||||
86 P39[64-64]
|
||||
87 P39[65-65]
|
||||
88 P39[66-66]
|
||||
89 P39[67-67]
|
||||
90 P39[68-68]
|
||||
91 P39[69-69]
|
||||
92 P54[40-40]
|
||||
93 P54[41-41]
|
||||
94 P54[42-42]
|
||||
95 P54[43-43]
|
||||
96 P54[44-44]
|
||||
97 P54[45-45]
|
||||
98 P54[46-46]
|
||||
99 P54[47-47]
|
||||
100 P54[48-48]
|
||||
101 P54[49-49]
|
||||
102 P54[50-50]
|
||||
103 P54[51-51]
|
||||
104 P54[52-52]
|
||||
105 P54[53-53]
|
||||
106 P54[54-54]
|
||||
107 P54[55-55]
|
||||
108 P54[56-56]
|
||||
109 P54[57-57]
|
||||
110 P54[58-58]
|
||||
111 P54[59-59]
|
||||
112 P54[60-60]
|
||||
113 P54[61-61]
|
||||
114 P54[62-62]
|
||||
115 P54[63-63]
|
||||
116 P54[64-64]
|
||||
117 P54[65-65]
|
||||
118 P54[66-66]
|
||||
119 P54[67-67]
|
||||
120 P54[68-68]
|
||||
121 P54[69-69]
|
||||
122 P31[0-0]
|
||||
123 P31[1-1]
|
||||
124 P31[2-2]
|
||||
125 P31[3-3]
|
||||
126 P31[4-4]
|
||||
127 P31[5-5]
|
||||
128 P31[6-6]
|
||||
129 P31[7-7]
|
||||
130 P31[8-8]
|
||||
131 P31[9-9]
|
||||
132 P31[10-10]
|
||||
133 P31[11-11]
|
||||
134 P31[12-12]
|
||||
135 P31[13-13]
|
||||
136 P31[14-14]
|
||||
137 P31[15-15]
|
||||
138 P31[16-16]
|
||||
139 P31[17-17]
|
||||
140 P31[18-18]
|
||||
141 P31[19-19]
|
||||
142 P31[20-20]
|
||||
143 P31[21-21]
|
||||
144 P31[22-22]
|
||||
145 P31[23-23]
|
||||
146 P31[24-24]
|
||||
147 P31[25-25]
|
||||
148 P31[26-26]
|
||||
149 P31[27-27]
|
||||
150 P31[28-28]
|
||||
151 P31[29-29]
|
||||
152 P31[30-30]
|
||||
153 P31[31-31]
|
||||
154 P31[32-32]
|
||||
155 P31[33-33]
|
||||
156 P31[34-34]
|
||||
157 P31[35-35]
|
||||
158 P31[36-36]
|
||||
159 P31[37-37]
|
||||
160 P31[38-38]
|
||||
161 P31[39-39]
|
||||
162 P31[40-40]
|
||||
163 P31[41-41]
|
||||
164 P31[42-42]
|
||||
165 P31[43-43]
|
||||
166 P31[44-44]
|
||||
167 P31[45-45]
|
||||
168 P31[46-46]
|
||||
169 P31[47-47]
|
||||
170 P31[48-48]
|
||||
171 P31[49-49]
|
||||
172 P31[50-50]
|
||||
173 P31[51-51]
|
||||
174 P31[52-52]
|
||||
175 P31[53-53]
|
||||
176 P31[54-54]
|
||||
177 P31[55-55]
|
||||
178 P31[56-56]
|
||||
179 P31[57-57]
|
||||
180 P31[58-58]
|
||||
181 P31[59-59]
|
||||
182 P31[60-60]
|
||||
183 P31[61-61]
|
||||
184 P31[62-62]
|
||||
185 P31[63-63]
|
||||
186 P31[64-64]
|
||||
187 P31[65-65]
|
||||
188 P31[66-66]
|
||||
189 P31[67-67]
|
||||
190 P31[68-68]
|
||||
191 P31[69-69]
|
||||
192 P463[26-26]
|
||||
193 P463[27-27]
|
||||
194 P463[28-28]
|
||||
195 P463[29-29]
|
||||
196 P463[30-30]
|
||||
197 P463[31-31]
|
||||
198 P463[32-32]
|
||||
199 P463[33-33]
|
||||
200 P463[34-34]
|
||||
201 P463[35-35]
|
||||
202 P463[36-36]
|
||||
203 P463[37-37]
|
||||
204 P463[38-38]
|
||||
205 P463[39-39]
|
||||
206 P463[40-40]
|
||||
207 P463[41-41]
|
||||
208 P463[42-42]
|
||||
209 P463[43-43]
|
||||
210 P463[44-44]
|
||||
211 P463[45-45]
|
||||
212 P463[46-46]
|
||||
213 P463[47-47]
|
||||
214 P463[48-48]
|
||||
215 P463[49-49]
|
||||
216 P463[50-50]
|
||||
217 P463[51-51]
|
||||
218 P463[52-52]
|
||||
219 P463[53-53]
|
||||
220 P463[54-54]
|
||||
221 P463[55-55]
|
||||
222 P463[56-56]
|
||||
223 P463[57-57]
|
||||
224 P463[58-58]
|
||||
225 P463[59-59]
|
||||
226 P463[60-60]
|
||||
227 P463[61-61]
|
||||
228 P463[62-62]
|
||||
229 P463[63-63]
|
||||
230 P463[64-64]
|
||||
231 P463[65-65]
|
||||
232 P463[66-66]
|
||||
233 P463[67-67]
|
||||
234 P463[68-68]
|
||||
235 P463[69-69]
|
||||
236 P512[4-69]
|
||||
237 P190[0-29]
|
||||
238 P150[0-3]
|
||||
239 P1376[39-47]
|
||||
240 P463[0-7]
|
||||
241 P166[0-7]
|
||||
242 P2962[18-30]
|
||||
243 P108[29-36]
|
||||
244 P39[0-3]
|
||||
245 P17[47-48]
|
||||
246 P166[21-23]
|
||||
247 P793[46-69]
|
||||
248 P69[32-41]
|
||||
249 P17[57-58]
|
||||
250 P190[42-45]
|
||||
251 P2962[39-42]
|
||||
252 P54[0-18]
|
||||
253 P26[56-61]
|
||||
254 P150[14-17]
|
||||
255 P463[16-17]
|
||||
256 P26[39-46]
|
||||
257 P579[36-43]
|
||||
258 P579[16-23]
|
||||
259 P2962[59-60]
|
||||
260 P1411[59-61]
|
||||
261 P26[20-27]
|
||||
262 P6[4-69]
|
||||
263 P1435[33-34]
|
||||
264 P166[52-53]
|
||||
265 P108[49-57]
|
||||
266 P150[10-13]
|
||||
267 P1346[47-68]
|
||||
268 P150[18-21]
|
||||
269 P1346[13-46]
|
||||
270 P69[20-23]
|
||||
271 P39[31-32]
|
||||
272 P1411[32-37]
|
||||
273 P166[62-63]
|
||||
274 P150[44-47]
|
||||
275 P2962[61-62]
|
||||
276 P150[48-51]
|
||||
277 P150[52-55]
|
||||
278 P1411[62-67]
|
||||
279 P1435[35-36]
|
||||
280 P1411[48-51]
|
||||
281 P150[22-25]
|
||||
282 P2962[63-64]
|
||||
283 P2962[65-66]
|
||||
284 P166[58-59]
|
||||
285 P190[46-49]
|
||||
286 P54[34-35]
|
||||
287 P1435[4-16]
|
||||
288 P463[18-19]
|
||||
289 P150[31-34]
|
||||
290 P150[35-38]
|
||||
291 P39[35-36]
|
||||
292 P26[62-69]
|
||||
293 P1411[56-58]
|
||||
294 P1435[37-38]
|
||||
295 P166[60-61]
|
||||
296 P39[33-34]
|
||||
297 P102[24-31]
|
||||
298 P2962[43-46]
|
||||
299 P108[37-48]
|
||||
300 P190[50-53]
|
||||
301 P39[4-6]
|
||||
302 P1435[39-40]
|
||||
303 P793[0-45]
|
||||
304 P150[64-69]
|
||||
305 P39[19-22]
|
||||
306 P27[30-38]
|
||||
307 P2962[31-38]
|
||||
308 P1411[24-31]
|
||||
309 P102[40-45]
|
||||
310 P39[37-38]
|
||||
311 P463[8-11]
|
||||
312 P1435[41-42]
|
||||
313 P27[52-59]
|
||||
314 P69[16-19]
|
||||
315 P17[16-18]
|
||||
316 P190[54-57]
|
||||
317 P1435[43-44]
|
||||
318 P166[8-15]
|
||||
319 P166[45-47]
|
||||
320 P2962[47-50]
|
||||
321 P39[39-40]
|
||||
322 P1411[52-55]
|
||||
323 P108[58-69]
|
||||
324 P463[20-21]
|
||||
325 P39[41-42]
|
||||
326 P150[26-30]
|
||||
327 P150[39-43]
|
||||
328 P1435[45-46]
|
||||
329 P26[28-38]
|
||||
330 P54[27-30]
|
||||
331 P190[58-61]
|
||||
332 P17[59-61]
|
||||
333 P54[36-37]
|
||||
334 P166[16-20]
|
||||
335 P166[37-40]
|
||||
336 P1435[47-48]
|
||||
337 P17[0-3]
|
||||
338 P26[47-55]
|
||||
339 P1435[49-50]
|
||||
340 P1435[25-28]
|
||||
341 P150[4-9]
|
||||
342 P102[63-69]
|
||||
343 P26[0-19]
|
||||
344 P1435[17-24]
|
||||
345 P39[23-26]
|
||||
346 P1435[51-52]
|
||||
347 P39[7-11]
|
||||
348 P69[12-15]
|
||||
349 P69[24-31]
|
||||
350 P102[0-23]
|
||||
351 P39[43-44]
|
||||
352 P579[24-35]
|
||||
353 P190[62-65]
|
||||
354 P1435[53-54]
|
||||
355 P1376[0-18]
|
||||
356 P27[0-14]
|
||||
357 P463[12-15]
|
||||
358 P166[33-36]
|
||||
359 P102[32-39]
|
||||
360 P17[4-7]
|
||||
361 P190[30-41]
|
||||
362 P166[24-28]
|
||||
363 P190[66-69]
|
||||
364 P69[42-69]
|
||||
365 P1435[55-56]
|
||||
366 P54[31-33]
|
||||
367 P39[45-46]
|
||||
368 P17[12-15]
|
||||
369 P1435[57-58]
|
||||
370 P54[19-26]
|
||||
371 P2962[51-54]
|
||||
372 P2962[67-69]
|
||||
373 P1435[59-60]
|
||||
374 P579[44-56]
|
||||
375 P1435[61-62]
|
||||
376 P166[41-44]
|
||||
377 P17[19-22]
|
||||
378 P1376[19-38]
|
||||
379 P17[23-26]
|
||||
380 P1376[48-69]
|
||||
381 P463[22-23]
|
||||
382 P17[27-30]
|
||||
383 P1435[63-64]
|
||||
384 P69[0-3]
|
||||
385 P1435[66-67]
|
||||
386 P17[35-38]
|
||||
387 P69[8-11]
|
||||
388 P1435[68-69]
|
||||
389 P17[31-34]
|
||||
390 P102[46-53]
|
||||
391 P27[60-69]
|
||||
392 P579[57-69]
|
||||
393 P69[4-7]
|
||||
394 P1411[7-14]
|
||||
395 P551[0-35]
|
||||
396 P108[0-28]
|
||||
397 P17[8-11]
|
||||
398 P1411[38-47]
|
||||
399 P17[43-46]
|
||||
400 P17[49-52]
|
||||
401 P166[64-69]
|
||||
402 P1435[29-32]
|
||||
403 P54[38-39]
|
||||
404 P39[27-30]
|
||||
405 P2962[55-58]
|
||||
406 P463[24-25]
|
||||
407 P17[39-42]
|
||||
408 P17[53-56]
|
||||
409 P17[66-69]
|
||||
410 P17[62-65]
|
||||
411 P1411[15-23]
|
||||
412 P166[48-51]
|
||||
413 P27[15-29]
|
||||
414 P150[56-63]
|
||||
415 P27[39-51]
|
||||
416 P39[47-48]
|
||||
417 P166[29-32]
|
||||
418 P39[12-18]
|
||||
419 P166[54-57]
|
||||
420 P551[36-69]
|
||||
421 P579[0-15]
|
||||
422 P102[54-62]
|
||||
16195
data/wikidata12k_both/test.txt
Normal file
16195
data/wikidata12k_both/test.txt
Normal file
File diff suppressed because it is too large
Load Diff
4062
data/wikidata12k_both/test_type.txt
Normal file
4062
data/wikidata12k_both/test_type.txt
Normal file
File diff suppressed because it is too large
Load Diff
71
data/wikidata12k_both/time_map.dict
Normal file
71
data/wikidata12k_both/time_map.dict
Normal file
@ -0,0 +1,71 @@
|
||||
0 19 19
|
||||
1 20 1643
|
||||
2 1644 1790
|
||||
3 1791 1816
|
||||
4 1817 1855
|
||||
5 1856 1871
|
||||
6 1872 1893
|
||||
7 1894 1905
|
||||
8 1906 1913
|
||||
9 1914 1918
|
||||
10 1919 1920
|
||||
11 1921 1924
|
||||
12 1925 1929
|
||||
13 1930 1933
|
||||
14 1934 1937
|
||||
15 1938 1941
|
||||
16 1942 1945
|
||||
17 1946 1948
|
||||
18 1949 1950
|
||||
19 1951 1953
|
||||
20 1954 1956
|
||||
21 1957 1959
|
||||
22 1960 1961
|
||||
23 1962 1963
|
||||
24 1964 1965
|
||||
25 1966 1967
|
||||
26 1968 1968
|
||||
27 1969 1970
|
||||
28 1971 1972
|
||||
29 1973 1974
|
||||
30 1975 1976
|
||||
31 1977 1978
|
||||
32 1979 1980
|
||||
33 1981 1982
|
||||
34 1983 1983
|
||||
35 1984 1984
|
||||
36 1985 1985
|
||||
37 1986 1986
|
||||
38 1987 1987
|
||||
39 1988 1988
|
||||
40 1989 1989
|
||||
41 1990 1990
|
||||
42 1991 1991
|
||||
43 1992 1992
|
||||
44 1993 1993
|
||||
45 1994 1994
|
||||
46 1995 1995
|
||||
47 1996 1996
|
||||
48 1997 1997
|
||||
49 1998 1998
|
||||
50 1999 1999
|
||||
51 2000 2000
|
||||
52 2001 2001
|
||||
53 2002 2002
|
||||
54 2003 2003
|
||||
55 2004 2004
|
||||
56 2005 2005
|
||||
57 2006 2006
|
||||
58 2007 2007
|
||||
59 2008 2008
|
||||
60 2009 2009
|
||||
61 2010 2010
|
||||
62 2011 2011
|
||||
63 2012 2012
|
||||
64 2013 2013
|
||||
65 2014 2014
|
||||
66 2015 2015
|
||||
67 2016 2016
|
||||
68 2017 2017
|
||||
69 2018 2020
|
||||
70 2021 2021
|
||||
198627
data/wikidata12k_both/train.txt
Normal file
198627
data/wikidata12k_both/train.txt
Normal file
File diff suppressed because it is too large
Load Diff
32497
data/wikidata12k_both/train_type.txt
Normal file
32497
data/wikidata12k_both/train_type.txt
Normal file
File diff suppressed because it is too large
Load Diff
16707
data/wikidata12k_both/valid.txt
Normal file
16707
data/wikidata12k_both/valid.txt
Normal file
File diff suppressed because it is too large
Load Diff
15
data/wikidata12k_old/about.txt
Normal file
15
data/wikidata12k_old/about.txt
Normal file
@ -0,0 +1,15 @@
|
||||
# triples: 291818
|
||||
# entities: 12554
|
||||
# relations: 423
|
||||
# timesteps: 70
|
||||
# test triples: 19271
|
||||
# valid triples: 20208
|
||||
# train triples: 252339
|
||||
Measure method: N/A
|
||||
Target Size : 423
|
||||
Grow Factor: 0
|
||||
Shrink Factor: 4.0
|
||||
Epsilon Factor: 0
|
||||
Search method: N/A
|
||||
filter_dupes: inter
|
||||
nonames: False
|
||||
12554
data/wikidata12k_old/entities.dict
Normal file
12554
data/wikidata12k_old/entities.dict
Normal file
File diff suppressed because it is too large
Load Diff
1820
data/wikidata12k_old/indices_test.txt
Normal file
1820
data/wikidata12k_old/indices_test.txt
Normal file
File diff suppressed because it is too large
Load Diff
13036
data/wikidata12k_old/indices_train.txt
Normal file
13036
data/wikidata12k_old/indices_train.txt
Normal file
File diff suppressed because it is too large
Load Diff
1796
data/wikidata12k_old/indices_valid.txt
Normal file
1796
data/wikidata12k_old/indices_valid.txt
Normal file
File diff suppressed because it is too large
Load Diff
12554
data/wikidata12k_old/raw_entity2id.txt
Normal file
12554
data/wikidata12k_old/raw_entity2id.txt
Normal file
File diff suppressed because it is too large
Load Diff
24
data/wikidata12k_old/raw_rel2id.txt
Normal file
24
data/wikidata12k_old/raw_rel2id.txt
Normal file
@ -0,0 +1,24 @@
|
||||
P1376 0
|
||||
P512 4
|
||||
P579 3
|
||||
P150 18
|
||||
P190 5
|
||||
P551 19
|
||||
P131 1
|
||||
P793 21
|
||||
P1435 13
|
||||
P39 14
|
||||
P17 6
|
||||
P54 22
|
||||
P31 15
|
||||
P6 7
|
||||
P1411 20
|
||||
P2962 2
|
||||
P463 9
|
||||
P1346 16
|
||||
P108 10
|
||||
P69 23
|
||||
P166 17
|
||||
P102 11
|
||||
P27 12
|
||||
P26 8
|
||||
4062
data/wikidata12k_old/raw_test.txt
Normal file
4062
data/wikidata12k_old/raw_test.txt
Normal file
File diff suppressed because it is too large
Load Diff
423
data/wikidata12k_old/relations.dict
Normal file
423
data/wikidata12k_old/relations.dict
Normal file
@ -0,0 +1,423 @@
|
||||
0 P131[0-0]
|
||||
1 P131[1-1]
|
||||
2 P131[2-2]
|
||||
3 P131[3-3]
|
||||
4 P131[4-4]
|
||||
5 P131[5-5]
|
||||
6 P131[6-6]
|
||||
7 P131[7-7]
|
||||
8 P131[8-8]
|
||||
9 P131[9-9]
|
||||
10 P131[10-10]
|
||||
11 P131[11-11]
|
||||
12 P131[12-12]
|
||||
13 P131[13-13]
|
||||
14 P131[14-14]
|
||||
15 P131[15-15]
|
||||
16 P131[16-16]
|
||||
17 P131[17-17]
|
||||
18 P131[18-18]
|
||||
19 P131[19-19]
|
||||
20 P131[20-20]
|
||||
21 P131[21-21]
|
||||
22 P131[22-22]
|
||||
23 P131[23-23]
|
||||
24 P131[24-24]
|
||||
25 P131[25-25]
|
||||
26 P131[26-26]
|
||||
27 P131[27-27]
|
||||
28 P131[28-28]
|
||||
29 P131[29-29]
|
||||
30 P131[30-30]
|
||||
31 P131[31-31]
|
||||
32 P131[32-32]
|
||||
33 P131[33-33]
|
||||
34 P131[34-34]
|
||||
35 P131[35-35]
|
||||
36 P131[36-36]
|
||||
37 P131[37-37]
|
||||
38 P131[38-38]
|
||||
39 P131[39-39]
|
||||
40 P131[40-40]
|
||||
41 P131[41-41]
|
||||
42 P131[42-42]
|
||||
43 P131[43-43]
|
||||
44 P131[44-44]
|
||||
45 P131[45-45]
|
||||
46 P131[46-46]
|
||||
47 P131[47-47]
|
||||
48 P131[48-48]
|
||||
49 P131[49-49]
|
||||
50 P131[50-50]
|
||||
51 P131[51-51]
|
||||
52 P131[52-52]
|
||||
53 P131[53-53]
|
||||
54 P131[54-54]
|
||||
55 P131[55-55]
|
||||
56 P131[56-56]
|
||||
57 P131[57-57]
|
||||
58 P131[58-58]
|
||||
59 P131[59-59]
|
||||
60 P131[60-60]
|
||||
61 P131[61-61]
|
||||
62 P131[62-62]
|
||||
63 P131[63-63]
|
||||
64 P131[64-64]
|
||||
65 P131[65-65]
|
||||
66 P131[66-66]
|
||||
67 P131[67-67]
|
||||
68 P131[68-68]
|
||||
69 P131[69-69]
|
||||
70 P1435[65-65]
|
||||
71 P39[49-49]
|
||||
72 P39[50-50]
|
||||
73 P39[51-51]
|
||||
74 P39[52-52]
|
||||
75 P39[53-53]
|
||||
76 P39[54-54]
|
||||
77 P39[55-55]
|
||||
78 P39[56-56]
|
||||
79 P39[57-57]
|
||||
80 P39[58-58]
|
||||
81 P39[59-59]
|
||||
82 P39[60-60]
|
||||
83 P39[61-61]
|
||||
84 P39[62-62]
|
||||
85 P39[63-63]
|
||||
86 P39[64-64]
|
||||
87 P39[65-65]
|
||||
88 P39[66-66]
|
||||
89 P39[67-67]
|
||||
90 P39[68-68]
|
||||
91 P39[69-69]
|
||||
92 P54[40-40]
|
||||
93 P54[41-41]
|
||||
94 P54[42-42]
|
||||
95 P54[43-43]
|
||||
96 P54[44-44]
|
||||
97 P54[45-45]
|
||||
98 P54[46-46]
|
||||
99 P54[47-47]
|
||||
100 P54[48-48]
|
||||
101 P54[49-49]
|
||||
102 P54[50-50]
|
||||
103 P54[51-51]
|
||||
104 P54[52-52]
|
||||
105 P54[53-53]
|
||||
106 P54[54-54]
|
||||
107 P54[55-55]
|
||||
108 P54[56-56]
|
||||
109 P54[57-57]
|
||||
110 P54[58-58]
|
||||
111 P54[59-59]
|
||||
112 P54[60-60]
|
||||
113 P54[61-61]
|
||||
114 P54[62-62]
|
||||
115 P54[63-63]
|
||||
116 P54[64-64]
|
||||
117 P54[65-65]
|
||||
118 P54[66-66]
|
||||
119 P54[67-67]
|
||||
120 P54[68-68]
|
||||
121 P54[69-69]
|
||||
122 P31[0-0]
|
||||
123 P31[1-1]
|
||||
124 P31[2-2]
|
||||
125 P31[3-3]
|
||||
126 P31[4-4]
|
||||
127 P31[5-5]
|
||||
128 P31[6-6]
|
||||
129 P31[7-7]
|
||||
130 P31[8-8]
|
||||
131 P31[9-9]
|
||||
132 P31[10-10]
|
||||
133 P31[11-11]
|
||||
134 P31[12-12]
|
||||
135 P31[13-13]
|
||||
136 P31[14-14]
|
||||
137 P31[15-15]
|
||||
138 P31[16-16]
|
||||
139 P31[17-17]
|
||||
140 P31[18-18]
|
||||
141 P31[19-19]
|
||||
142 P31[20-20]
|
||||
143 P31[21-21]
|
||||
144 P31[22-22]
|
||||
145 P31[23-23]
|
||||
146 P31[24-24]
|
||||
147 P31[25-25]
|
||||
148 P31[26-26]
|
||||
149 P31[27-27]
|
||||
150 P31[28-28]
|
||||
151 P31[29-29]
|
||||
152 P31[30-30]
|
||||
153 P31[31-31]
|
||||
154 P31[32-32]
|
||||
155 P31[33-33]
|
||||
156 P31[34-34]
|
||||
157 P31[35-35]
|
||||
158 P31[36-36]
|
||||
159 P31[37-37]
|
||||
160 P31[38-38]
|
||||
161 P31[39-39]
|
||||
162 P31[40-40]
|
||||
163 P31[41-41]
|
||||
164 P31[42-42]
|
||||
165 P31[43-43]
|
||||
166 P31[44-44]
|
||||
167 P31[45-45]
|
||||
168 P31[46-46]
|
||||
169 P31[47-47]
|
||||
170 P31[48-48]
|
||||
171 P31[49-49]
|
||||
172 P31[50-50]
|
||||
173 P31[51-51]
|
||||
174 P31[52-52]
|
||||
175 P31[53-53]
|
||||
176 P31[54-54]
|
||||
177 P31[55-55]
|
||||
178 P31[56-56]
|
||||
179 P31[57-57]
|
||||
180 P31[58-58]
|
||||
181 P31[59-59]
|
||||
182 P31[60-60]
|
||||
183 P31[61-61]
|
||||
184 P31[62-62]
|
||||
185 P31[63-63]
|
||||
186 P31[64-64]
|
||||
187 P31[65-65]
|
||||
188 P31[66-66]
|
||||
189 P31[67-67]
|
||||
190 P31[68-68]
|
||||
191 P31[69-69]
|
||||
192 P463[26-26]
|
||||
193 P463[27-27]
|
||||
194 P463[28-28]
|
||||
195 P463[29-29]
|
||||
196 P463[30-30]
|
||||
197 P463[31-31]
|
||||
198 P463[32-32]
|
||||
199 P463[33-33]
|
||||
200 P463[34-34]
|
||||
201 P463[35-35]
|
||||
202 P463[36-36]
|
||||
203 P463[37-37]
|
||||
204 P463[38-38]
|
||||
205 P463[39-39]
|
||||
206 P463[40-40]
|
||||
207 P463[41-41]
|
||||
208 P463[42-42]
|
||||
209 P463[43-43]
|
||||
210 P463[44-44]
|
||||
211 P463[45-45]
|
||||
212 P463[46-46]
|
||||
213 P463[47-47]
|
||||
214 P463[48-48]
|
||||
215 P463[49-49]
|
||||
216 P463[50-50]
|
||||
217 P463[51-51]
|
||||
218 P463[52-52]
|
||||
219 P463[53-53]
|
||||
220 P463[54-54]
|
||||
221 P463[55-55]
|
||||
222 P463[56-56]
|
||||
223 P463[57-57]
|
||||
224 P463[58-58]
|
||||
225 P463[59-59]
|
||||
226 P463[60-60]
|
||||
227 P463[61-61]
|
||||
228 P463[62-62]
|
||||
229 P463[63-63]
|
||||
230 P463[64-64]
|
||||
231 P463[65-65]
|
||||
232 P463[66-66]
|
||||
233 P463[67-67]
|
||||
234 P463[68-68]
|
||||
235 P463[69-69]
|
||||
236 P512[4-69]
|
||||
237 P190[0-29]
|
||||
238 P150[0-3]
|
||||
239 P1376[39-47]
|
||||
240 P463[0-7]
|
||||
241 P166[0-7]
|
||||
242 P2962[18-30]
|
||||
243 P108[29-36]
|
||||
244 P39[0-3]
|
||||
245 P17[47-48]
|
||||
246 P166[21-23]
|
||||
247 P793[46-69]
|
||||
248 P69[32-41]
|
||||
249 P17[57-58]
|
||||
250 P190[42-45]
|
||||
251 P2962[39-42]
|
||||
252 P54[0-18]
|
||||
253 P26[56-61]
|
||||
254 P150[14-17]
|
||||
255 P463[16-17]
|
||||
256 P26[39-46]
|
||||
257 P579[36-43]
|
||||
258 P579[16-23]
|
||||
259 P2962[59-60]
|
||||
260 P1411[59-61]
|
||||
261 P26[20-27]
|
||||
262 P6[4-69]
|
||||
263 P1435[33-34]
|
||||
264 P166[52-53]
|
||||
265 P108[49-57]
|
||||
266 P150[10-13]
|
||||
267 P1346[47-68]
|
||||
268 P150[18-21]
|
||||
269 P1346[13-46]
|
||||
270 P69[20-23]
|
||||
271 P39[31-32]
|
||||
272 P1411[32-37]
|
||||
273 P166[62-63]
|
||||
274 P150[44-47]
|
||||
275 P2962[61-62]
|
||||
276 P150[48-51]
|
||||
277 P150[52-55]
|
||||
278 P1411[62-67]
|
||||
279 P1435[35-36]
|
||||
280 P1411[48-51]
|
||||
281 P150[22-25]
|
||||
282 P2962[63-64]
|
||||
283 P2962[65-66]
|
||||
284 P166[58-59]
|
||||
285 P190[46-49]
|
||||
286 P54[34-35]
|
||||
287 P1435[4-16]
|
||||
288 P463[18-19]
|
||||
289 P150[31-34]
|
||||
290 P150[35-38]
|
||||
291 P39[35-36]
|
||||
292 P26[62-69]
|
||||
293 P1411[56-58]
|
||||
294 P1435[37-38]
|
||||
295 P166[60-61]
|
||||
296 P39[33-34]
|
||||
297 P102[24-31]
|
||||
298 P2962[43-46]
|
||||
299 P108[37-48]
|
||||
300 P190[50-53]
|
||||
301 P39[4-6]
|
||||
302 P1435[39-40]
|
||||
303 P793[0-45]
|
||||
304 P150[64-69]
|
||||
305 P39[19-22]
|
||||
306 P27[30-38]
|
||||
307 P2962[31-38]
|
||||
308 P1411[24-31]
|
||||
309 P102[40-45]
|
||||
310 P39[37-38]
|
||||
311 P463[8-11]
|
||||
312 P1435[41-42]
|
||||
313 P27[52-59]
|
||||
314 P69[16-19]
|
||||
315 P17[16-18]
|
||||
316 P190[54-57]
|
||||
317 P1435[43-44]
|
||||
318 P166[8-15]
|
||||
319 P166[45-47]
|
||||
320 P2962[47-50]
|
||||
321 P39[39-40]
|
||||
322 P1411[52-55]
|
||||
323 P108[58-69]
|
||||
324 P463[20-21]
|
||||
325 P39[41-42]
|
||||
326 P150[26-30]
|
||||
327 P150[39-43]
|
||||
328 P1435[45-46]
|
||||
329 P26[28-38]
|
||||
330 P54[27-30]
|
||||
331 P190[58-61]
|
||||
332 P17[59-61]
|
||||
333 P54[36-37]
|
||||
334 P166[16-20]
|
||||
335 P166[37-40]
|
||||
336 P1435[47-48]
|
||||
337 P17[0-3]
|
||||
338 P26[47-55]
|
||||
339 P1435[49-50]
|
||||
340 P1435[25-28]
|
||||
341 P150[4-9]
|
||||
342 P102[63-69]
|
||||
343 P26[0-19]
|
||||
344 P1435[17-24]
|
||||
345 P39[23-26]
|
||||
346 P1435[51-52]
|
||||
347 P39[7-11]
|
||||
348 P69[12-15]
|
||||
349 P69[24-31]
|
||||
350 P102[0-23]
|
||||
351 P39[43-44]
|
||||
352 P579[24-35]
|
||||
353 P190[62-65]
|
||||
354 P1435[53-54]
|
||||
355 P1376[0-18]
|
||||
356 P27[0-14]
|
||||
357 P463[12-15]
|
||||
358 P166[33-36]
|
||||
359 P102[32-39]
|
||||
360 P17[4-7]
|
||||
361 P190[30-41]
|
||||
362 P166[24-28]
|
||||
363 P190[66-69]
|
||||
364 P69[42-69]
|
||||
365 P1435[55-56]
|
||||
366 P54[31-33]
|
||||
367 P39[45-46]
|
||||
368 P17[12-15]
|
||||
369 P1435[57-58]
|
||||
370 P54[19-26]
|
||||
371 P2962[51-54]
|
||||
372 P2962[67-69]
|
||||
373 P1435[59-60]
|
||||
374 P579[44-56]
|
||||
375 P1435[61-62]
|
||||
376 P166[41-44]
|
||||
377 P17[19-22]
|
||||
378 P1376[19-38]
|
||||
379 P17[23-26]
|
||||
380 P1376[48-69]
|
||||
381 P463[22-23]
|
||||
382 P17[27-30]
|
||||
383 P1435[63-64]
|
||||
384 P69[0-3]
|
||||
385 P1435[66-67]
|
||||
386 P17[35-38]
|
||||
387 P69[8-11]
|
||||
388 P1435[68-69]
|
||||
389 P17[31-34]
|
||||
390 P102[46-53]
|
||||
391 P27[60-69]
|
||||
392 P579[57-69]
|
||||
393 P69[4-7]
|
||||
394 P1411[7-14]
|
||||
395 P551[0-35]
|
||||
396 P108[0-28]
|
||||
397 P17[8-11]
|
||||
398 P1411[38-47]
|
||||
399 P17[43-46]
|
||||
400 P17[49-52]
|
||||
401 P166[64-69]
|
||||
402 P1435[29-32]
|
||||
403 P54[38-39]
|
||||
404 P39[27-30]
|
||||
405 P2962[55-58]
|
||||
406 P463[24-25]
|
||||
407 P17[39-42]
|
||||
408 P17[53-56]
|
||||
409 P17[66-69]
|
||||
410 P17[62-65]
|
||||
411 P1411[15-23]
|
||||
412 P166[48-51]
|
||||
413 P27[15-29]
|
||||
414 P150[56-63]
|
||||
415 P27[39-51]
|
||||
416 P39[47-48]
|
||||
417 P166[29-32]
|
||||
418 P39[12-18]
|
||||
419 P166[54-57]
|
||||
420 P551[36-69]
|
||||
421 P579[0-15]
|
||||
422 P102[54-62]
|
||||
19271
data/wikidata12k_old/test.txt
Normal file
19271
data/wikidata12k_old/test.txt
Normal file
File diff suppressed because it is too large
Load Diff
71
data/wikidata12k_old/time_map.dict
Normal file
71
data/wikidata12k_old/time_map.dict
Normal file
@ -0,0 +1,71 @@
|
||||
0 19 19
|
||||
1 20 1643
|
||||
2 1644 1790
|
||||
3 1791 1816
|
||||
4 1817 1855
|
||||
5 1856 1871
|
||||
6 1872 1893
|
||||
7 1894 1905
|
||||
8 1906 1913
|
||||
9 1914 1918
|
||||
10 1919 1920
|
||||
11 1921 1924
|
||||
12 1925 1929
|
||||
13 1930 1933
|
||||
14 1934 1937
|
||||
15 1938 1941
|
||||
16 1942 1945
|
||||
17 1946 1948
|
||||
18 1949 1950
|
||||
19 1951 1953
|
||||
20 1954 1956
|
||||
21 1957 1959
|
||||
22 1960 1961
|
||||
23 1962 1963
|
||||
24 1964 1965
|
||||
25 1966 1967
|
||||
26 1968 1968
|
||||
27 1969 1970
|
||||
28 1971 1972
|
||||
29 1973 1974
|
||||
30 1975 1976
|
||||
31 1977 1978
|
||||
32 1979 1980
|
||||
33 1981 1982
|
||||
34 1983 1983
|
||||
35 1984 1984
|
||||
36 1985 1985
|
||||
37 1986 1986
|
||||
38 1987 1987
|
||||
39 1988 1988
|
||||
40 1989 1989
|
||||
41 1990 1990
|
||||
42 1991 1991
|
||||
43 1992 1992
|
||||
44 1993 1993
|
||||
45 1994 1994
|
||||
46 1995 1995
|
||||
47 1996 1996
|
||||
48 1997 1997
|
||||
49 1998 1998
|
||||
50 1999 1999
|
||||
51 2000 2000
|
||||
52 2001 2001
|
||||
53 2002 2002
|
||||
54 2003 2003
|
||||
55 2004 2004
|
||||
56 2005 2005
|
||||
57 2006 2006
|
||||
58 2007 2007
|
||||
59 2008 2008
|
||||
60 2009 2009
|
||||
61 2010 2010
|
||||
62 2011 2011
|
||||
63 2012 2012
|
||||
64 2013 2013
|
||||
65 2014 2014
|
||||
66 2015 2015
|
||||
67 2016 2016
|
||||
68 2017 2017
|
||||
69 2018 2020
|
||||
70 2021 2021
|
||||
252339
data/wikidata12k_old/train.txt
Normal file
252339
data/wikidata12k_old/train.txt
Normal file
File diff suppressed because it is too large
Load Diff
20208
data/wikidata12k_old/valid.txt
Normal file
20208
data/wikidata12k_old/valid.txt
Normal file
File diff suppressed because it is too large
Load Diff
15
data/yago/about.txt
Normal file
15
data/yago/about.txt
Normal file
@ -0,0 +1,15 @@
|
||||
# triples: 78032
|
||||
# entities: 10526
|
||||
# relations: 177
|
||||
# timesteps: 46
|
||||
# test triples: 6909
|
||||
# valid triples: 7198
|
||||
# train triples: 63925
|
||||
Measure method: N/A
|
||||
Target Size : 0
|
||||
Grow Factor: 0
|
||||
Shrink Factor: 0
|
||||
Epsilon Factor: 5.0
|
||||
Search method: N/A
|
||||
filter_dupes: inter
|
||||
nonames: False
|
||||
10526
data/yago/entities.dict
Normal file
10526
data/yago/entities.dict
Normal file
File diff suppressed because it is too large
Load Diff
177
data/yago/relations.dict
Normal file
177
data/yago/relations.dict
Normal file
@ -0,0 +1,177 @@
|
||||
0 <wasBornIn>[0-2]
|
||||
1 <wasBornIn>[2-5]
|
||||
2 <wasBornIn>[5-7]
|
||||
3 <wasBornIn>[7-10]
|
||||
4 <wasBornIn>[10-12]
|
||||
5 <wasBornIn>[12-15]
|
||||
6 <wasBornIn>[15-17]
|
||||
7 <wasBornIn>[17-20]
|
||||
8 <wasBornIn>[20-22]
|
||||
9 <wasBornIn>[22-25]
|
||||
10 <wasBornIn>[25-27]
|
||||
11 <wasBornIn>[27-30]
|
||||
12 <wasBornIn>[30-32]
|
||||
13 <wasBornIn>[32-35]
|
||||
14 <wasBornIn>[35-45]
|
||||
15 <wasBornIn>[52-52]
|
||||
16 <diedIn>[0-3]
|
||||
17 <diedIn>[3-5]
|
||||
18 <diedIn>[5-7]
|
||||
19 <diedIn>[7-10]
|
||||
20 <diedIn>[10-12]
|
||||
21 <diedIn>[12-14]
|
||||
22 <diedIn>[14-17]
|
||||
23 <diedIn>[17-19]
|
||||
24 <diedIn>[19-21]
|
||||
25 <diedIn>[21-23]
|
||||
26 <diedIn>[23-25]
|
||||
27 <diedIn>[25-27]
|
||||
28 <diedIn>[27-29]
|
||||
29 <diedIn>[29-32]
|
||||
30 <diedIn>[32-34]
|
||||
31 <diedIn>[34-36]
|
||||
32 <diedIn>[36-38]
|
||||
33 <diedIn>[38-40]
|
||||
34 <diedIn>[40-42]
|
||||
35 <diedIn>[42-44]
|
||||
36 <diedIn>[44-47]
|
||||
37 <diedIn>[47-49]
|
||||
38 <diedIn>[49-51]
|
||||
39 <diedIn>[51-53]
|
||||
40 <diedIn>[53-55]
|
||||
41 <diedIn>[55-57]
|
||||
42 <diedIn>[59-59]
|
||||
43 <worksAt>[0-3]
|
||||
44 <worksAt>[3-5]
|
||||
45 <worksAt>[5-7]
|
||||
46 <worksAt>[7-10]
|
||||
47 <worksAt>[10-12]
|
||||
48 <worksAt>[12-14]
|
||||
49 <worksAt>[14-17]
|
||||
50 <worksAt>[17-19]
|
||||
51 <worksAt>[19-21]
|
||||
52 <worksAt>[21-23]
|
||||
53 <worksAt>[23-25]
|
||||
54 <worksAt>[25-27]
|
||||
55 <worksAt>[27-29]
|
||||
56 <worksAt>[29-32]
|
||||
57 <worksAt>[32-34]
|
||||
58 <worksAt>[34-36]
|
||||
59 <worksAt>[36-40]
|
||||
60 <worksAt>[40-42]
|
||||
61 <worksAt>[42-47]
|
||||
62 <worksAt>[47-53]
|
||||
63 <worksAt>[59-59]
|
||||
64 <playsFor>[0-3]
|
||||
65 <playsFor>[3-5]
|
||||
66 <playsFor>[5-23]
|
||||
67 <playsFor>[23-25]
|
||||
68 <playsFor>[25-27]
|
||||
69 <playsFor>[27-29]
|
||||
70 <playsFor>[29-32]
|
||||
71 <playsFor>[32-34]
|
||||
72 <playsFor>[34-36]
|
||||
73 <playsFor>[36-38]
|
||||
74 <playsFor>[38-40]
|
||||
75 <playsFor>[40-42]
|
||||
76 <playsFor>[42-44]
|
||||
77 <playsFor>[44-47]
|
||||
78 <playsFor>[47-51]
|
||||
79 <playsFor>[59-59]
|
||||
80 <hasWonPrize>[1-4]
|
||||
81 <hasWonPrize>[4-6]
|
||||
82 <hasWonPrize>[6-8]
|
||||
83 <hasWonPrize>[8-11]
|
||||
84 <hasWonPrize>[11-15]
|
||||
85 <hasWonPrize>[15-18]
|
||||
86 <hasWonPrize>[18-22]
|
||||
87 <hasWonPrize>[22-26]
|
||||
88 <hasWonPrize>[26-30]
|
||||
89 <hasWonPrize>[30-33]
|
||||
90 <hasWonPrize>[33-37]
|
||||
91 <hasWonPrize>[37-47]
|
||||
92 <hasWonPrize>[47-53]
|
||||
93 <hasWonPrize>[59-59]
|
||||
94 <isMarriedTo>[0-3]
|
||||
95 <isMarriedTo>[3-5]
|
||||
96 <isMarriedTo>[5-7]
|
||||
97 <isMarriedTo>[7-10]
|
||||
98 <isMarriedTo>[10-12]
|
||||
99 <isMarriedTo>[12-14]
|
||||
100 <isMarriedTo>[14-17]
|
||||
101 <isMarriedTo>[17-19]
|
||||
102 <isMarriedTo>[19-21]
|
||||
103 <isMarriedTo>[21-23]
|
||||
104 <isMarriedTo>[23-25]
|
||||
105 <isMarriedTo>[25-27]
|
||||
106 <isMarriedTo>[27-29]
|
||||
107 <isMarriedTo>[29-32]
|
||||
108 <isMarriedTo>[32-34]
|
||||
109 <isMarriedTo>[34-38]
|
||||
110 <isMarriedTo>[38-42]
|
||||
111 <isMarriedTo>[42-47]
|
||||
112 <isMarriedTo>[47-51]
|
||||
113 <isMarriedTo>[51-55]
|
||||
114 <isMarriedTo>[59-59]
|
||||
115 <owns>[0-10]
|
||||
116 <owns>[10-17]
|
||||
117 <owns>[17-19]
|
||||
118 <owns>[19-23]
|
||||
119 <owns>[23-36]
|
||||
120 <owns>[36-38]
|
||||
121 <owns>[59-59]
|
||||
122 <graduatedFrom>[0-3]
|
||||
123 <graduatedFrom>[3-5]
|
||||
124 <graduatedFrom>[5-7]
|
||||
125 <graduatedFrom>[7-10]
|
||||
126 <graduatedFrom>[10-14]
|
||||
127 <graduatedFrom>[14-17]
|
||||
128 <graduatedFrom>[17-19]
|
||||
129 <graduatedFrom>[19-21]
|
||||
130 <graduatedFrom>[21-23]
|
||||
131 <graduatedFrom>[23-27]
|
||||
132 <graduatedFrom>[27-32]
|
||||
133 <graduatedFrom>[32-34]
|
||||
134 <graduatedFrom>[34-38]
|
||||
135 <graduatedFrom>[38-42]
|
||||
136 <graduatedFrom>[59-59]
|
||||
137 <isAffiliatedTo>[1-4]
|
||||
138 <isAffiliatedTo>[4-6]
|
||||
139 <isAffiliatedTo>[6-8]
|
||||
140 <isAffiliatedTo>[8-11]
|
||||
141 <isAffiliatedTo>[11-13]
|
||||
142 <isAffiliatedTo>[13-15]
|
||||
143 <isAffiliatedTo>[15-18]
|
||||
144 <isAffiliatedTo>[18-20]
|
||||
145 <isAffiliatedTo>[20-22]
|
||||
146 <isAffiliatedTo>[22-24]
|
||||
147 <isAffiliatedTo>[24-26]
|
||||
148 <isAffiliatedTo>[26-28]
|
||||
149 <isAffiliatedTo>[28-30]
|
||||
150 <isAffiliatedTo>[30-33]
|
||||
151 <isAffiliatedTo>[33-35]
|
||||
152 <isAffiliatedTo>[35-37]
|
||||
153 <isAffiliatedTo>[37-40]
|
||||
154 <isAffiliatedTo>[40-42]
|
||||
155 <isAffiliatedTo>[42-44]
|
||||
156 <isAffiliatedTo>[44-47]
|
||||
157 <isAffiliatedTo>[47-49]
|
||||
158 <isAffiliatedTo>[49-51]
|
||||
159 <isAffiliatedTo>[51-53]
|
||||
160 <isAffiliatedTo>[53-55]
|
||||
161 <isAffiliatedTo>[55-57]
|
||||
162 <isAffiliatedTo>[59-59]
|
||||
163 <created>[0-3]
|
||||
164 <created>[3-5]
|
||||
165 <created>[5-10]
|
||||
166 <created>[10-12]
|
||||
167 <created>[12-17]
|
||||
168 <created>[17-19]
|
||||
169 <created>[19-25]
|
||||
170 <created>[25-29]
|
||||
171 <created>[29-32]
|
||||
172 <created>[32-36]
|
||||
173 <created>[36-42]
|
||||
174 <created>[42-47]
|
||||
175 <created>[47-53]
|
||||
176 <created>[59-59]
|
||||
6909
data/yago/test.txt
Normal file
6909
data/yago/test.txt
Normal file
File diff suppressed because it is too large
Load Diff
60
data/yago/time_map.dict
Normal file
60
data/yago/time_map.dict
Normal file
@ -0,0 +1,60 @@
|
||||
0 -431 1782
|
||||
1 1783 1848
|
||||
2 1849 1870
|
||||
3 1871 1888
|
||||
4 1889 1899
|
||||
5 1900 1906
|
||||
6 1907 1912
|
||||
7 1913 1917
|
||||
8 1918 1922
|
||||
9 1923 1926
|
||||
10 1927 1930
|
||||
11 1931 1934
|
||||
12 1935 1938
|
||||
13 1939 1941
|
||||
14 1942 1944
|
||||
15 1945 1947
|
||||
16 1948 1950
|
||||
17 1951 1953
|
||||
18 1954 1956
|
||||
19 1957 1959
|
||||
20 1960 1962
|
||||
21 1963 1965
|
||||
22 1966 1967
|
||||
23 1968 1969
|
||||
24 1970 1971
|
||||
25 1972 1973
|
||||
26 1974 1975
|
||||
27 1976 1977
|
||||
28 1978 1979
|
||||
29 1980 1981
|
||||
30 1982 1983
|
||||
31 1984 1985
|
||||
32 1986 1987
|
||||
33 1988 1989
|
||||
34 1990 1991
|
||||
35 1992 1993
|
||||
36 1994 1994
|
||||
37 1995 1996
|
||||
38 1997 1997
|
||||
39 1998 1998
|
||||
40 1999 1999
|
||||
41 2000 2000
|
||||
42 2001 2001
|
||||
43 2002 2002
|
||||
44 2003 2003
|
||||
45 2004 2004
|
||||
46 2005 2005
|
||||
47 2006 2006
|
||||
48 2007 2007
|
||||
49 2008 2008
|
||||
50 2009 2009
|
||||
51 2010 2010
|
||||
52 2011 2011
|
||||
53 2012 2012
|
||||
54 2013 2013
|
||||
55 2014 2014
|
||||
56 2015 2015
|
||||
57 2016 2016
|
||||
58 2017 2017
|
||||
59 2018 2018
|
||||
63925
data/yago/train.txt
Normal file
63925
data/yago/train.txt
Normal file
File diff suppressed because it is too large
Load Diff
7198
data/yago/valid.txt
Normal file
7198
data/yago/valid.txt
Normal file
File diff suppressed because it is too large
Load Diff
793
data/yago11k/indices_test.txt
Normal file
793
data/yago11k/indices_test.txt
Normal file
@ -0,0 +1,793 @@
|
||||
0
|
||||
2
|
||||
4
|
||||
9
|
||||
11
|
||||
12
|
||||
16
|
||||
17
|
||||
19
|
||||
27
|
||||
29
|
||||
34
|
||||
35
|
||||
37
|
||||
38
|
||||
41
|
||||
42
|
||||
45
|
||||
49
|
||||
51
|
||||
52
|
||||
54
|
||||
56
|
||||
57
|
||||
61
|
||||
64
|
||||
65
|
||||
67
|
||||
69
|
||||
70
|
||||
72
|
||||
76
|
||||
78
|
||||
79
|
||||
83
|
||||
86
|
||||
87
|
||||
89
|
||||
101
|
||||
102
|
||||
103
|
||||
108
|
||||
111
|
||||
112
|
||||
119
|
||||
121
|
||||
122
|
||||
126
|
||||
128
|
||||
129
|
||||
132
|
||||
134
|
||||
138
|
||||
141
|
||||
144
|
||||
146
|
||||
153
|
||||
154
|
||||
155
|
||||
156
|
||||
158
|
||||
159
|
||||
160
|
||||
161
|
||||
162
|
||||
164
|
||||
165
|
||||
166
|
||||
168
|
||||
173
|
||||
175
|
||||
176
|
||||
177
|
||||
182
|
||||
184
|
||||
185
|
||||
186
|
||||
187
|
||||
188
|
||||
190
|
||||
192
|
||||
193
|
||||
201
|
||||
202
|
||||
208
|
||||
209
|
||||
211
|
||||
213
|
||||
215
|
||||
216
|
||||
217
|
||||
222
|
||||
227
|
||||
229
|
||||
235
|
||||
239
|
||||
240
|
||||
242
|
||||
243
|
||||
245
|
||||
246
|
||||
247
|
||||
251
|
||||
252
|
||||
254
|
||||
257
|
||||
261
|
||||
263
|
||||
266
|
||||
268
|
||||
271
|
||||
279
|
||||
282
|
||||
292
|
||||
300
|
||||
303
|
||||
305
|
||||
308
|
||||
309
|
||||
311
|
||||
313
|
||||
316
|
||||
319
|
||||
322
|
||||
324
|
||||
325
|
||||
329
|
||||
331
|
||||
332
|
||||
333
|
||||
334
|
||||
337
|
||||
339
|
||||
342
|
||||
343
|
||||
346
|
||||
347
|
||||
348
|
||||
349
|
||||
350
|
||||
352
|
||||
353
|
||||
355
|
||||
357
|
||||
361
|
||||
362
|
||||
363
|
||||
367
|
||||
371
|
||||
373
|
||||
378
|
||||
379
|
||||
383
|
||||
384
|
||||
385
|
||||
389
|
||||
392
|
||||
394
|
||||
395
|
||||
396
|
||||
397
|
||||
399
|
||||
400
|
||||
402
|
||||
403
|
||||
407
|
||||
409
|
||||
415
|
||||
416
|
||||
420
|
||||
421
|
||||
422
|
||||
428
|
||||
429
|
||||
432
|
||||
433
|
||||
440
|
||||
442
|
||||
443
|
||||
450
|
||||
452
|
||||
459
|
||||
463
|
||||
464
|
||||
466
|
||||
471
|
||||
472
|
||||
476
|
||||
480
|
||||
484
|
||||
489
|
||||
490
|
||||
493
|
||||
494
|
||||
495
|
||||
500
|
||||
503
|
||||
507
|
||||
509
|
||||
515
|
||||
519
|
||||
520
|
||||
521
|
||||
525
|
||||
528
|
||||
529
|
||||
533
|
||||
534
|
||||
539
|
||||
541
|
||||
542
|
||||
548
|
||||
550
|
||||
556
|
||||
559
|
||||
563
|
||||
566
|
||||
567
|
||||
569
|
||||
573
|
||||
575
|
||||
576
|
||||
579
|
||||
582
|
||||
585
|
||||
588
|
||||
592
|
||||
593
|
||||
594
|
||||
596
|
||||
597
|
||||
598
|
||||
599
|
||||
603
|
||||
604
|
||||
605
|
||||
606
|
||||
607
|
||||
613
|
||||
614
|
||||
616
|
||||
617
|
||||
618
|
||||
619
|
||||
621
|
||||
623
|
||||
624
|
||||
625
|
||||
628
|
||||
638
|
||||
641
|
||||
642
|
||||
648
|
||||
651
|
||||
659
|
||||
660
|
||||
661
|
||||
663
|
||||
664
|
||||
676
|
||||
677
|
||||
678
|
||||
680
|
||||
682
|
||||
686
|
||||
688
|
||||
689
|
||||
691
|
||||
694
|
||||
698
|
||||
704
|
||||
707
|
||||
708
|
||||
712
|
||||
713
|
||||
716
|
||||
719
|
||||
723
|
||||
724
|
||||
726
|
||||
728
|
||||
732
|
||||
741
|
||||
742
|
||||
743
|
||||
744
|
||||
745
|
||||
746
|
||||
750
|
||||
752
|
||||
755
|
||||
759
|
||||
762
|
||||
764
|
||||
767
|
||||
768
|
||||
770
|
||||
772
|
||||
775
|
||||
777
|
||||
780
|
||||
782
|
||||
785
|
||||
789
|
||||
799
|
||||
800
|
||||
801
|
||||
802
|
||||
804
|
||||
805
|
||||
810
|
||||
811
|
||||
816
|
||||
822
|
||||
823
|
||||
826
|
||||
829
|
||||
832
|
||||
834
|
||||
835
|
||||
838
|
||||
839
|
||||
842
|
||||
847
|
||||
848
|
||||
850
|
||||
851
|
||||
852
|
||||
856
|
||||
861
|
||||
862
|
||||
865
|
||||
867
|
||||
868
|
||||
869
|
||||
874
|
||||
876
|
||||
882
|
||||
883
|
||||
884
|
||||
885
|
||||
891
|
||||
893
|
||||
898
|
||||
899
|
||||
906
|
||||
909
|
||||
910
|
||||
911
|
||||
912
|
||||
920
|
||||
923
|
||||
924
|
||||
926
|
||||
928
|
||||
934
|
||||
938
|
||||
941
|
||||
942
|
||||
943
|
||||
944
|
||||
945
|
||||
951
|
||||
954
|
||||
956
|
||||
957
|
||||
958
|
||||
960
|
||||
961
|
||||
963
|
||||
964
|
||||
968
|
||||
970
|
||||
975
|
||||
976
|
||||
977
|
||||
979
|
||||
981
|
||||
988
|
||||
989
|
||||
992
|
||||
993
|
||||
995
|
||||
997
|
||||
1005
|
||||
1008
|
||||
1009
|
||||
1012
|
||||
1013
|
||||
1014
|
||||
1015
|
||||
1023
|
||||
1029
|
||||
1032
|
||||
1038
|
||||
1044
|
||||
1045
|
||||
1052
|
||||
1053
|
||||
1055
|
||||
1057
|
||||
1060
|
||||
1061
|
||||
1065
|
||||
1066
|
||||
1074
|
||||
1077
|
||||
1079
|
||||
1080
|
||||
1082
|
||||
1083
|
||||
1085
|
||||
1086
|
||||
1089
|
||||
1090
|
||||
1091
|
||||
1095
|
||||
1104
|
||||
1107
|
||||
1111
|
||||
1114
|
||||
1121
|
||||
1124
|
||||
1126
|
||||
1127
|
||||
1128
|
||||
1131
|
||||
1132
|
||||
1139
|
||||
1140
|
||||
1142
|
||||
1143
|
||||
1145
|
||||
1148
|
||||
1150
|
||||
1157
|
||||
1163
|
||||
1164
|
||||
1168
|
||||
1170
|
||||
1171
|
||||
1172
|
||||
1173
|
||||
1179
|
||||
1182
|
||||
1186
|
||||
1189
|
||||
1190
|
||||
1191
|
||||
1194
|
||||
1196
|
||||
1198
|
||||
1201
|
||||
1204
|
||||
1206
|
||||
1208
|
||||
1217
|
||||
1220
|
||||
1223
|
||||
1228
|
||||
1231
|
||||
1232
|
||||
1235
|
||||
1236
|
||||
1237
|
||||
1238
|
||||
1240
|
||||
1246
|
||||
1247
|
||||
1249
|
||||
1252
|
||||
1258
|
||||
1260
|
||||
1265
|
||||
1266
|
||||
1273
|
||||
1274
|
||||
1278
|
||||
1279
|
||||
1280
|
||||
1284
|
||||
1286
|
||||
1287
|
||||
1288
|
||||
1289
|
||||
1290
|
||||
1293
|
||||
1294
|
||||
1295
|
||||
1297
|
||||
1298
|
||||
1301
|
||||
1303
|
||||
1304
|
||||
1305
|
||||
1307
|
||||
1308
|
||||
1309
|
||||
1314
|
||||
1318
|
||||
1319
|
||||
1323
|
||||
1325
|
||||
1327
|
||||
1328
|
||||
1333
|
||||
1337
|
||||
1340
|
||||
1341
|
||||
1343
|
||||
1345
|
||||
1346
|
||||
1347
|
||||
1349
|
||||
1350
|
||||
1351
|
||||
1358
|
||||
1364
|
||||
1365
|
||||
1367
|
||||
1368
|
||||
1369
|
||||
1370
|
||||
1373
|
||||
1375
|
||||
1376
|
||||
1378
|
||||
1380
|
||||
1381
|
||||
1382
|
||||
1385
|
||||
1387
|
||||
1390
|
||||
1391
|
||||
1394
|
||||
1396
|
||||
1397
|
||||
1399
|
||||
1400
|
||||
1406
|
||||
1409
|
||||
1412
|
||||
1416
|
||||
1417
|
||||
1418
|
||||
1420
|
||||
1423
|
||||
1425
|
||||
1428
|
||||
1430
|
||||
1431
|
||||
1432
|
||||
1437
|
||||
1438
|
||||
1439
|
||||
1444
|
||||
1447
|
||||
1450
|
||||
1454
|
||||
1456
|
||||
1457
|
||||
1460
|
||||
1464
|
||||
1465
|
||||
1469
|
||||
1473
|
||||
1474
|
||||
1475
|
||||
1477
|
||||
1479
|
||||
1488
|
||||
1490
|
||||
1493
|
||||
1494
|
||||
1497
|
||||
1500
|
||||
1502
|
||||
1503
|
||||
1504
|
||||
1505
|
||||
1507
|
||||
1508
|
||||
1510
|
||||
1514
|
||||
1515
|
||||
1520
|
||||
1522
|
||||
1523
|
||||
1526
|
||||
1547
|
||||
1549
|
||||
1553
|
||||
1556
|
||||
1557
|
||||
1558
|
||||
1562
|
||||
1563
|
||||
1564
|
||||
1565
|
||||
1570
|
||||
1571
|
||||
1574
|
||||
1575
|
||||
1579
|
||||
1591
|
||||
1592
|
||||
1594
|
||||
1601
|
||||
1604
|
||||
1605
|
||||
1606
|
||||
1608
|
||||
1609
|
||||
1613
|
||||
1618
|
||||
1619
|
||||
1620
|
||||
1621
|
||||
1632
|
||||
1634
|
||||
1635
|
||||
1636
|
||||
1642
|
||||
1643
|
||||
1648
|
||||
1650
|
||||
1652
|
||||
1653
|
||||
1660
|
||||
1661
|
||||
1662
|
||||
1666
|
||||
1669
|
||||
1670
|
||||
1676
|
||||
1677
|
||||
1682
|
||||
1683
|
||||
1690
|
||||
1692
|
||||
1693
|
||||
1697
|
||||
1698
|
||||
1702
|
||||
1703
|
||||
1706
|
||||
1709
|
||||
1711
|
||||
1713
|
||||
1715
|
||||
1717
|
||||
1721
|
||||
1724
|
||||
1725
|
||||
1729
|
||||
1730
|
||||
1733
|
||||
1734
|
||||
1735
|
||||
1736
|
||||
1741
|
||||
1745
|
||||
1746
|
||||
1748
|
||||
1749
|
||||
1751
|
||||
1755
|
||||
1761
|
||||
1763
|
||||
1766
|
||||
1767
|
||||
1768
|
||||
1769
|
||||
1773
|
||||
1775
|
||||
1777
|
||||
1778
|
||||
1783
|
||||
1789
|
||||
1790
|
||||
1792
|
||||
1793
|
||||
1795
|
||||
1800
|
||||
1803
|
||||
1805
|
||||
1809
|
||||
1812
|
||||
1815
|
||||
1816
|
||||
1819
|
||||
1820
|
||||
1822
|
||||
1823
|
||||
1824
|
||||
1825
|
||||
1828
|
||||
1831
|
||||
1833
|
||||
1834
|
||||
1835
|
||||
1836
|
||||
1837
|
||||
1842
|
||||
1848
|
||||
1849
|
||||
1852
|
||||
1853
|
||||
1854
|
||||
1856
|
||||
1857
|
||||
1858
|
||||
1859
|
||||
1861
|
||||
1864
|
||||
1865
|
||||
1869
|
||||
1873
|
||||
1874
|
||||
1876
|
||||
1877
|
||||
1882
|
||||
1883
|
||||
1884
|
||||
1885
|
||||
1888
|
||||
1889
|
||||
1890
|
||||
1892
|
||||
1894
|
||||
1896
|
||||
1899
|
||||
1902
|
||||
1903
|
||||
1905
|
||||
1908
|
||||
1910
|
||||
1913
|
||||
1914
|
||||
1915
|
||||
1920
|
||||
1928
|
||||
1931
|
||||
1936
|
||||
1938
|
||||
1941
|
||||
1942
|
||||
1944
|
||||
1946
|
||||
1947
|
||||
1948
|
||||
1954
|
||||
1956
|
||||
1958
|
||||
1961
|
||||
1966
|
||||
1968
|
||||
1969
|
||||
1971
|
||||
1972
|
||||
1977
|
||||
1979
|
||||
1985
|
||||
1986
|
||||
1987
|
||||
1988
|
||||
1989
|
||||
1990
|
||||
1999
|
||||
2001
|
||||
2005
|
||||
2009
|
||||
2010
|
||||
2012
|
||||
2013
|
||||
2014
|
||||
2015
|
||||
2017
|
||||
2018
|
||||
2022
|
||||
2023
|
||||
2028
|
||||
2032
|
||||
2036
|
||||
2037
|
||||
2038
|
||||
2041
|
||||
2042
|
||||
2043
|
||||
2044
|
||||
2045
|
||||
2046
|
||||
2048
|
||||
7395
data/yago11k/indices_train.txt
Normal file
7395
data/yago11k/indices_train.txt
Normal file
File diff suppressed because it is too large
Load Diff
809
data/yago11k/indices_valid.txt
Normal file
809
data/yago11k/indices_valid.txt
Normal file
@ -0,0 +1,809 @@
|
||||
7
|
||||
9
|
||||
12
|
||||
15
|
||||
17
|
||||
22
|
||||
24
|
||||
25
|
||||
28
|
||||
29
|
||||
32
|
||||
37
|
||||
38
|
||||
41
|
||||
43
|
||||
49
|
||||
52
|
||||
54
|
||||
57
|
||||
58
|
||||
59
|
||||
60
|
||||
66
|
||||
69
|
||||
72
|
||||
76
|
||||
78
|
||||
81
|
||||
83
|
||||
84
|
||||
85
|
||||
88
|
||||
89
|
||||
94
|
||||
100
|
||||
102
|
||||
105
|
||||
106
|
||||
107
|
||||
108
|
||||
109
|
||||
115
|
||||
116
|
||||
121
|
||||
123
|
||||
124
|
||||
127
|
||||
128
|
||||
133
|
||||
135
|
||||
137
|
||||
138
|
||||
141
|
||||
144
|
||||
156
|
||||
157
|
||||
159
|
||||
161
|
||||
168
|
||||
171
|
||||
172
|
||||
174
|
||||
175
|
||||
176
|
||||
181
|
||||
182
|
||||
186
|
||||
188
|
||||
189
|
||||
190
|
||||
191
|
||||
195
|
||||
197
|
||||
198
|
||||
200
|
||||
201
|
||||
204
|
||||
208
|
||||
212
|
||||
215
|
||||
216
|
||||
217
|
||||
218
|
||||
219
|
||||
220
|
||||
222
|
||||
224
|
||||
225
|
||||
227
|
||||
229
|
||||
230
|
||||
233
|
||||
236
|
||||
239
|
||||
240
|
||||
242
|
||||
243
|
||||
244
|
||||
246
|
||||
247
|
||||
250
|
||||
251
|
||||
253
|
||||
254
|
||||
255
|
||||
256
|
||||
257
|
||||
261
|
||||
265
|
||||
266
|
||||
271
|
||||
273
|
||||
274
|
||||
275
|
||||
276
|
||||
279
|
||||
280
|
||||
282
|
||||
284
|
||||
287
|
||||
289
|
||||
292
|
||||
296
|
||||
297
|
||||
299
|
||||
300
|
||||
302
|
||||
308
|
||||
311
|
||||
312
|
||||
315
|
||||
316
|
||||
317
|
||||
320
|
||||
321
|
||||
322
|
||||
326
|
||||
331
|
||||
333
|
||||
335
|
||||
336
|
||||
337
|
||||
339
|
||||
344
|
||||
345
|
||||
346
|
||||
347
|
||||
351
|
||||
352
|
||||
353
|
||||
354
|
||||
355
|
||||
358
|
||||
359
|
||||
362
|
||||
364
|
||||
366
|
||||
368
|
||||
373
|
||||
376
|
||||
388
|
||||
390
|
||||
392
|
||||
393
|
||||
394
|
||||
395
|
||||
397
|
||||
398
|
||||
401
|
||||
403
|
||||
406
|
||||
407
|
||||
409
|
||||
410
|
||||
412
|
||||
413
|
||||
415
|
||||
416
|
||||
418
|
||||
420
|
||||
421
|
||||
425
|
||||
435
|
||||
437
|
||||
443
|
||||
444
|
||||
445
|
||||
446
|
||||
448
|
||||
453
|
||||
455
|
||||
456
|
||||
462
|
||||
463
|
||||
468
|
||||
470
|
||||
471
|
||||
477
|
||||
478
|
||||
481
|
||||
485
|
||||
490
|
||||
491
|
||||
493
|
||||
498
|
||||
505
|
||||
510
|
||||
513
|
||||
514
|
||||
515
|
||||
516
|
||||
521
|
||||
523
|
||||
527
|
||||
529
|
||||
531
|
||||
534
|
||||
535
|
||||
536
|
||||
537
|
||||
538
|
||||
543
|
||||
547
|
||||
550
|
||||
555
|
||||
557
|
||||
558
|
||||
559
|
||||
560
|
||||
561
|
||||
565
|
||||
566
|
||||
567
|
||||
570
|
||||
575
|
||||
577
|
||||
580
|
||||
581
|
||||
582
|
||||
593
|
||||
594
|
||||
595
|
||||
597
|
||||
599
|
||||
602
|
||||
605
|
||||
609
|
||||
612
|
||||
614
|
||||
616
|
||||
618
|
||||
620
|
||||
625
|
||||
628
|
||||
632
|
||||
633
|
||||
635
|
||||
636
|
||||
643
|
||||
644
|
||||
645
|
||||
646
|
||||
647
|
||||
648
|
||||
652
|
||||
662
|
||||
663
|
||||
669
|
||||
670
|
||||
672
|
||||
673
|
||||
681
|
||||
682
|
||||
685
|
||||
687
|
||||
689
|
||||
693
|
||||
697
|
||||
700
|
||||
702
|
||||
707
|
||||
711
|
||||
716
|
||||
717
|
||||
719
|
||||
727
|
||||
728
|
||||
729
|
||||
730
|
||||
732
|
||||
733
|
||||
734
|
||||
738
|
||||
740
|
||||
744
|
||||
751
|
||||
754
|
||||
755
|
||||
756
|
||||
760
|
||||
761
|
||||
762
|
||||
763
|
||||
766
|
||||
768
|
||||
770
|
||||
771
|
||||
772
|
||||
773
|
||||
774
|
||||
775
|
||||
776
|
||||
777
|
||||
779
|
||||
781
|
||||
782
|
||||
784
|
||||
786
|
||||
788
|
||||
789
|
||||
792
|
||||
795
|
||||
799
|
||||
800
|
||||
805
|
||||
808
|
||||
810
|
||||
812
|
||||
815
|
||||
817
|
||||
820
|
||||
821
|
||||
825
|
||||
827
|
||||
829
|
||||
831
|
||||
832
|
||||
833
|
||||
834
|
||||
836
|
||||
837
|
||||
840
|
||||
841
|
||||
842
|
||||
848
|
||||
849
|
||||
850
|
||||
851
|
||||
852
|
||||
855
|
||||
858
|
||||
860
|
||||
861
|
||||
866
|
||||
869
|
||||
871
|
||||
872
|
||||
877
|
||||
878
|
||||
880
|
||||
881
|
||||
882
|
||||
884
|
||||
885
|
||||
886
|
||||
891
|
||||
893
|
||||
897
|
||||
899
|
||||
901
|
||||
908
|
||||
911
|
||||
913
|
||||
919
|
||||
921
|
||||
925
|
||||
927
|
||||
929
|
||||
934
|
||||
937
|
||||
938
|
||||
945
|
||||
947
|
||||
948
|
||||
950
|
||||
957
|
||||
962
|
||||
963
|
||||
965
|
||||
969
|
||||
971
|
||||
976
|
||||
977
|
||||
978
|
||||
985
|
||||
986
|
||||
989
|
||||
990
|
||||
991
|
||||
993
|
||||
996
|
||||
997
|
||||
998
|
||||
1003
|
||||
1005
|
||||
1006
|
||||
1007
|
||||
1010
|
||||
1011
|
||||
1013
|
||||
1014
|
||||
1019
|
||||
1022
|
||||
1024
|
||||
1025
|
||||
1028
|
||||
1031
|
||||
1032
|
||||
1034
|
||||
1038
|
||||
1040
|
||||
1042
|
||||
1043
|
||||
1048
|
||||
1049
|
||||
1050
|
||||
1051
|
||||
1056
|
||||
1057
|
||||
1059
|
||||
1062
|
||||
1063
|
||||
1065
|
||||
1066
|
||||
1071
|
||||
1072
|
||||
1074
|
||||
1075
|
||||
1076
|
||||
1080
|
||||
1081
|
||||
1082
|
||||
1085
|
||||
1086
|
||||
1087
|
||||
1090
|
||||
1095
|
||||
1096
|
||||
1098
|
||||
1099
|
||||
1101
|
||||
1105
|
||||
1108
|
||||
1109
|
||||
1110
|
||||
1112
|
||||
1117
|
||||
1119
|
||||
1121
|
||||
1122
|
||||
1123
|
||||
1125
|
||||
1129
|
||||
1133
|
||||
1139
|
||||
1143
|
||||
1145
|
||||
1147
|
||||
1151
|
||||
1153
|
||||
1154
|
||||
1158
|
||||
1159
|
||||
1162
|
||||
1165
|
||||
1167
|
||||
1169
|
||||
1171
|
||||
1175
|
||||
1177
|
||||
1178
|
||||
1180
|
||||
1181
|
||||
1182
|
||||
1185
|
||||
1187
|
||||
1188
|
||||
1193
|
||||
1197
|
||||
1199
|
||||
1217
|
||||
1218
|
||||
1220
|
||||
1221
|
||||
1225
|
||||
1227
|
||||
1230
|
||||
1232
|
||||
1233
|
||||
1235
|
||||
1236
|
||||
1237
|
||||
1238
|
||||
1239
|
||||
1244
|
||||
1246
|
||||
1247
|
||||
1248
|
||||
1262
|
||||
1263
|
||||
1264
|
||||
1266
|
||||
1267
|
||||
1269
|
||||
1271
|
||||
1272
|
||||
1273
|
||||
1276
|
||||
1277
|
||||
1278
|
||||
1280
|
||||
1284
|
||||
1291
|
||||
1292
|
||||
1293
|
||||
1295
|
||||
1296
|
||||
1297
|
||||
1299
|
||||
1300
|
||||
1301
|
||||
1305
|
||||
1307
|
||||
1309
|
||||
1312
|
||||
1322
|
||||
1325
|
||||
1330
|
||||
1334
|
||||
1335
|
||||
1337
|
||||
1338
|
||||
1340
|
||||
1342
|
||||
1346
|
||||
1347
|
||||
1350
|
||||
1351
|
||||
1356
|
||||
1357
|
||||
1358
|
||||
1359
|
||||
1366
|
||||
1368
|
||||
1370
|
||||
1371
|
||||
1373
|
||||
1376
|
||||
1379
|
||||
1382
|
||||
1383
|
||||
1384
|
||||
1385
|
||||
1386
|
||||
1387
|
||||
1389
|
||||
1393
|
||||
1394
|
||||
1398
|
||||
1403
|
||||
1404
|
||||
1409
|
||||
1411
|
||||
1413
|
||||
1415
|
||||
1420
|
||||
1421
|
||||
1423
|
||||
1426
|
||||
1429
|
||||
1431
|
||||
1433
|
||||
1434
|
||||
1439
|
||||
1444
|
||||
1446
|
||||
1447
|
||||
1456
|
||||
1457
|
||||
1461
|
||||
1467
|
||||
1469
|
||||
1472
|
||||
1477
|
||||
1481
|
||||
1493
|
||||
1494
|
||||
1496
|
||||
1498
|
||||
1499
|
||||
1501
|
||||
1503
|
||||
1506
|
||||
1507
|
||||
1508
|
||||
1510
|
||||
1511
|
||||
1512
|
||||
1516
|
||||
1521
|
||||
1523
|
||||
1527
|
||||
1528
|
||||
1529
|
||||
1530
|
||||
1535
|
||||
1537
|
||||
1540
|
||||
1541
|
||||
1542
|
||||
1546
|
||||
1552
|
||||
1559
|
||||
1562
|
||||
1563
|
||||
1564
|
||||
1567
|
||||
1572
|
||||
1574
|
||||
1577
|
||||
1581
|
||||
1587
|
||||
1589
|
||||
1594
|
||||
1601
|
||||
1603
|
||||
1613
|
||||
1614
|
||||
1616
|
||||
1617
|
||||
1618
|
||||
1619
|
||||
1620
|
||||
1621
|
||||
1623
|
||||
1624
|
||||
1625
|
||||
1626
|
||||
1631
|
||||
1632
|
||||
1634
|
||||
1635
|
||||
1636
|
||||
1638
|
||||
1640
|
||||
1642
|
||||
1643
|
||||
1645
|
||||
1647
|
||||
1648
|
||||
1650
|
||||
1651
|
||||
1652
|
||||
1655
|
||||
1656
|
||||
1658
|
||||
1661
|
||||
1662
|
||||
1663
|
||||
1665
|
||||
1666
|
||||
1667
|
||||
1668
|
||||
1669
|
||||
1674
|
||||
1675
|
||||
1685
|
||||
1686
|
||||
1695
|
||||
1697
|
||||
1698
|
||||
1699
|
||||
1706
|
||||
1713
|
||||
1716
|
||||
1717
|
||||
1718
|
||||
1723
|
||||
1724
|
||||
1725
|
||||
1729
|
||||
1730
|
||||
1731
|
||||
1732
|
||||
1733
|
||||
1734
|
||||
1738
|
||||
1741
|
||||
1744
|
||||
1749
|
||||
1761
|
||||
1762
|
||||
1769
|
||||
1772
|
||||
1774
|
||||
1776
|
||||
1777
|
||||
1781
|
||||
1784
|
||||
1787
|
||||
1789
|
||||
1790
|
||||
1791
|
||||
1798
|
||||
1804
|
||||
1805
|
||||
1807
|
||||
1808
|
||||
1811
|
||||
1812
|
||||
1816
|
||||
1821
|
||||
1824
|
||||
1827
|
||||
1831
|
||||
1834
|
||||
1835
|
||||
1836
|
||||
1842
|
||||
1847
|
||||
1852
|
||||
1855
|
||||
1856
|
||||
1859
|
||||
1861
|
||||
1862
|
||||
1865
|
||||
1866
|
||||
1871
|
||||
1872
|
||||
1874
|
||||
1876
|
||||
1877
|
||||
1878
|
||||
1879
|
||||
1880
|
||||
1881
|
||||
1885
|
||||
1887
|
||||
1888
|
||||
1889
|
||||
1891
|
||||
1892
|
||||
1894
|
||||
1895
|
||||
1899
|
||||
1900
|
||||
1907
|
||||
1911
|
||||
1913
|
||||
1914
|
||||
1915
|
||||
1917
|
||||
1919
|
||||
1920
|
||||
1923
|
||||
1924
|
||||
1925
|
||||
1927
|
||||
1934
|
||||
1939
|
||||
1940
|
||||
1941
|
||||
1948
|
||||
1951
|
||||
1953
|
||||
1957
|
||||
1958
|
||||
1959
|
||||
1961
|
||||
1962
|
||||
1965
|
||||
1966
|
||||
1967
|
||||
1971
|
||||
1973
|
||||
1975
|
||||
1979
|
||||
1981
|
||||
1983
|
||||
1989
|
||||
1996
|
||||
1997
|
||||
2000
|
||||
2004
|
||||
2007
|
||||
2009
|
||||
2011
|
||||
2012
|
||||
2016
|
||||
2017
|
||||
2019
|
||||
2021
|
||||
2024
|
||||
2029
|
||||
2040
|
||||
2042
|
||||
2044
|
||||
2048
|
||||
15
data/yago11k_both/about.txt
Normal file
15
data/yago11k_both/about.txt
Normal file
@ -0,0 +1,15 @@
|
||||
# triples: 78032
|
||||
# entities: 10526
|
||||
# relations: 177
|
||||
# timesteps: 46
|
||||
# test triples: 6909
|
||||
# valid triples: 7198
|
||||
# train triples: 63925
|
||||
Measure method: N/A
|
||||
Target Size : 0
|
||||
Grow Factor: 0
|
||||
Shrink Factor: 0
|
||||
Epsilon Factor: 5.0
|
||||
Search method: N/A
|
||||
filter_dupes: both
|
||||
nonames: False
|
||||
20509
data/yago11k_both/complete_type.txt
Normal file
20509
data/yago11k_both/complete_type.txt
Normal file
File diff suppressed because it is too large
Load Diff
10526
data/yago11k_both/entities.dict
Normal file
10526
data/yago11k_both/entities.dict
Normal file
File diff suppressed because it is too large
Load Diff
177
data/yago11k_both/relations.dict
Normal file
177
data/yago11k_both/relations.dict
Normal file
@ -0,0 +1,177 @@
|
||||
0 <wasBornIn>[0-2]
|
||||
1 <wasBornIn>[2-5]
|
||||
2 <wasBornIn>[5-7]
|
||||
3 <wasBornIn>[7-10]
|
||||
4 <wasBornIn>[10-12]
|
||||
5 <wasBornIn>[12-15]
|
||||
6 <wasBornIn>[15-17]
|
||||
7 <wasBornIn>[17-20]
|
||||
8 <wasBornIn>[20-22]
|
||||
9 <wasBornIn>[22-25]
|
||||
10 <wasBornIn>[25-27]
|
||||
11 <wasBornIn>[27-30]
|
||||
12 <wasBornIn>[30-32]
|
||||
13 <wasBornIn>[32-35]
|
||||
14 <wasBornIn>[35-45]
|
||||
15 <wasBornIn>[52-52]
|
||||
16 <diedIn>[0-3]
|
||||
17 <diedIn>[3-5]
|
||||
18 <diedIn>[5-7]
|
||||
19 <diedIn>[7-10]
|
||||
20 <diedIn>[10-12]
|
||||
21 <diedIn>[12-14]
|
||||
22 <diedIn>[14-17]
|
||||
23 <diedIn>[17-19]
|
||||
24 <diedIn>[19-21]
|
||||
25 <diedIn>[21-23]
|
||||
26 <diedIn>[23-25]
|
||||
27 <diedIn>[25-27]
|
||||
28 <diedIn>[27-29]
|
||||
29 <diedIn>[29-32]
|
||||
30 <diedIn>[32-34]
|
||||
31 <diedIn>[34-36]
|
||||
32 <diedIn>[36-38]
|
||||
33 <diedIn>[38-40]
|
||||
34 <diedIn>[40-42]
|
||||
35 <diedIn>[42-44]
|
||||
36 <diedIn>[44-47]
|
||||
37 <diedIn>[47-49]
|
||||
38 <diedIn>[49-51]
|
||||
39 <diedIn>[51-53]
|
||||
40 <diedIn>[53-55]
|
||||
41 <diedIn>[55-57]
|
||||
42 <diedIn>[59-59]
|
||||
43 <worksAt>[0-3]
|
||||
44 <worksAt>[3-5]
|
||||
45 <worksAt>[5-7]
|
||||
46 <worksAt>[7-10]
|
||||
47 <worksAt>[10-12]
|
||||
48 <worksAt>[12-14]
|
||||
49 <worksAt>[14-17]
|
||||
50 <worksAt>[17-19]
|
||||
51 <worksAt>[19-21]
|
||||
52 <worksAt>[21-23]
|
||||
53 <worksAt>[23-25]
|
||||
54 <worksAt>[25-27]
|
||||
55 <worksAt>[27-29]
|
||||
56 <worksAt>[29-32]
|
||||
57 <worksAt>[32-34]
|
||||
58 <worksAt>[34-36]
|
||||
59 <worksAt>[36-40]
|
||||
60 <worksAt>[40-42]
|
||||
61 <worksAt>[42-47]
|
||||
62 <worksAt>[47-53]
|
||||
63 <worksAt>[59-59]
|
||||
64 <playsFor>[0-3]
|
||||
65 <playsFor>[3-5]
|
||||
66 <playsFor>[5-23]
|
||||
67 <playsFor>[23-25]
|
||||
68 <playsFor>[25-27]
|
||||
69 <playsFor>[27-29]
|
||||
70 <playsFor>[29-32]
|
||||
71 <playsFor>[32-34]
|
||||
72 <playsFor>[34-36]
|
||||
73 <playsFor>[36-38]
|
||||
74 <playsFor>[38-40]
|
||||
75 <playsFor>[40-42]
|
||||
76 <playsFor>[42-44]
|
||||
77 <playsFor>[44-47]
|
||||
78 <playsFor>[47-51]
|
||||
79 <playsFor>[59-59]
|
||||
80 <hasWonPrize>[1-4]
|
||||
81 <hasWonPrize>[4-6]
|
||||
82 <hasWonPrize>[6-8]
|
||||
83 <hasWonPrize>[8-11]
|
||||
84 <hasWonPrize>[11-15]
|
||||
85 <hasWonPrize>[15-18]
|
||||
86 <hasWonPrize>[18-22]
|
||||
87 <hasWonPrize>[22-26]
|
||||
88 <hasWonPrize>[26-30]
|
||||
89 <hasWonPrize>[30-33]
|
||||
90 <hasWonPrize>[33-37]
|
||||
91 <hasWonPrize>[37-47]
|
||||
92 <hasWonPrize>[47-53]
|
||||
93 <hasWonPrize>[59-59]
|
||||
94 <isMarriedTo>[0-3]
|
||||
95 <isMarriedTo>[3-5]
|
||||
96 <isMarriedTo>[5-7]
|
||||
97 <isMarriedTo>[7-10]
|
||||
98 <isMarriedTo>[10-12]
|
||||
99 <isMarriedTo>[12-14]
|
||||
100 <isMarriedTo>[14-17]
|
||||
101 <isMarriedTo>[17-19]
|
||||
102 <isMarriedTo>[19-21]
|
||||
103 <isMarriedTo>[21-23]
|
||||
104 <isMarriedTo>[23-25]
|
||||
105 <isMarriedTo>[25-27]
|
||||
106 <isMarriedTo>[27-29]
|
||||
107 <isMarriedTo>[29-32]
|
||||
108 <isMarriedTo>[32-34]
|
||||
109 <isMarriedTo>[34-38]
|
||||
110 <isMarriedTo>[38-42]
|
||||
111 <isMarriedTo>[42-47]
|
||||
112 <isMarriedTo>[47-51]
|
||||
113 <isMarriedTo>[51-55]
|
||||
114 <isMarriedTo>[59-59]
|
||||
115 <owns>[0-10]
|
||||
116 <owns>[10-17]
|
||||
117 <owns>[17-19]
|
||||
118 <owns>[19-23]
|
||||
119 <owns>[23-36]
|
||||
120 <owns>[36-38]
|
||||
121 <owns>[59-59]
|
||||
122 <graduatedFrom>[0-3]
|
||||
123 <graduatedFrom>[3-5]
|
||||
124 <graduatedFrom>[5-7]
|
||||
125 <graduatedFrom>[7-10]
|
||||
126 <graduatedFrom>[10-14]
|
||||
127 <graduatedFrom>[14-17]
|
||||
128 <graduatedFrom>[17-19]
|
||||
129 <graduatedFrom>[19-21]
|
||||
130 <graduatedFrom>[21-23]
|
||||
131 <graduatedFrom>[23-27]
|
||||
132 <graduatedFrom>[27-32]
|
||||
133 <graduatedFrom>[32-34]
|
||||
134 <graduatedFrom>[34-38]
|
||||
135 <graduatedFrom>[38-42]
|
||||
136 <graduatedFrom>[59-59]
|
||||
137 <isAffiliatedTo>[1-4]
|
||||
138 <isAffiliatedTo>[4-6]
|
||||
139 <isAffiliatedTo>[6-8]
|
||||
140 <isAffiliatedTo>[8-11]
|
||||
141 <isAffiliatedTo>[11-13]
|
||||
142 <isAffiliatedTo>[13-15]
|
||||
143 <isAffiliatedTo>[15-18]
|
||||
144 <isAffiliatedTo>[18-20]
|
||||
145 <isAffiliatedTo>[20-22]
|
||||
146 <isAffiliatedTo>[22-24]
|
||||
147 <isAffiliatedTo>[24-26]
|
||||
148 <isAffiliatedTo>[26-28]
|
||||
149 <isAffiliatedTo>[28-30]
|
||||
150 <isAffiliatedTo>[30-33]
|
||||
151 <isAffiliatedTo>[33-35]
|
||||
152 <isAffiliatedTo>[35-37]
|
||||
153 <isAffiliatedTo>[37-40]
|
||||
154 <isAffiliatedTo>[40-42]
|
||||
155 <isAffiliatedTo>[42-44]
|
||||
156 <isAffiliatedTo>[44-47]
|
||||
157 <isAffiliatedTo>[47-49]
|
||||
158 <isAffiliatedTo>[49-51]
|
||||
159 <isAffiliatedTo>[51-53]
|
||||
160 <isAffiliatedTo>[53-55]
|
||||
161 <isAffiliatedTo>[55-57]
|
||||
162 <isAffiliatedTo>[59-59]
|
||||
163 <created>[0-3]
|
||||
164 <created>[3-5]
|
||||
165 <created>[5-10]
|
||||
166 <created>[10-12]
|
||||
167 <created>[12-17]
|
||||
168 <created>[17-19]
|
||||
169 <created>[19-25]
|
||||
170 <created>[25-29]
|
||||
171 <created>[29-32]
|
||||
172 <created>[32-36]
|
||||
173 <created>[36-42]
|
||||
174 <created>[42-47]
|
||||
175 <created>[47-53]
|
||||
176 <created>[59-59]
|
||||
6909
data/yago11k_both/test.txt
Normal file
6909
data/yago11k_both/test.txt
Normal file
File diff suppressed because it is too large
Load Diff
2051
data/yago11k_both/test_type.txt
Normal file
2051
data/yago11k_both/test_type.txt
Normal file
File diff suppressed because it is too large
Load Diff
60
data/yago11k_both/time_map.dict
Normal file
60
data/yago11k_both/time_map.dict
Normal file
@ -0,0 +1,60 @@
|
||||
0 -431 1782
|
||||
1 1783 1848
|
||||
2 1849 1870
|
||||
3 1871 1888
|
||||
4 1889 1899
|
||||
5 1900 1906
|
||||
6 1907 1912
|
||||
7 1913 1917
|
||||
8 1918 1922
|
||||
9 1923 1926
|
||||
10 1927 1930
|
||||
11 1931 1934
|
||||
12 1935 1938
|
||||
13 1939 1941
|
||||
14 1942 1944
|
||||
15 1945 1947
|
||||
16 1948 1950
|
||||
17 1951 1953
|
||||
18 1954 1956
|
||||
19 1957 1959
|
||||
20 1960 1962
|
||||
21 1963 1965
|
||||
22 1966 1967
|
||||
23 1968 1969
|
||||
24 1970 1971
|
||||
25 1972 1973
|
||||
26 1974 1975
|
||||
27 1976 1977
|
||||
28 1978 1979
|
||||
29 1980 1981
|
||||
30 1982 1983
|
||||
31 1984 1985
|
||||
32 1986 1987
|
||||
33 1988 1989
|
||||
34 1990 1991
|
||||
35 1992 1993
|
||||
36 1994 1994
|
||||
37 1995 1996
|
||||
38 1997 1997
|
||||
39 1998 1998
|
||||
40 1999 1999
|
||||
41 2000 2000
|
||||
42 2001 2001
|
||||
43 2002 2002
|
||||
44 2003 2003
|
||||
45 2004 2004
|
||||
46 2005 2005
|
||||
47 2006 2006
|
||||
48 2007 2007
|
||||
49 2008 2008
|
||||
50 2009 2009
|
||||
51 2010 2010
|
||||
52 2011 2011
|
||||
53 2012 2012
|
||||
54 2013 2013
|
||||
55 2014 2014
|
||||
56 2015 2015
|
||||
57 2016 2016
|
||||
58 2017 2017
|
||||
59 2018 2018
|
||||
63925
data/yago11k_both/train.txt
Normal file
63925
data/yago11k_both/train.txt
Normal file
File diff suppressed because it is too large
Load Diff
16408
data/yago11k_both/train_type.txt
Normal file
16408
data/yago11k_both/train_type.txt
Normal file
File diff suppressed because it is too large
Load Diff
7198
data/yago11k_both/valid.txt
Normal file
7198
data/yago11k_both/valid.txt
Normal file
File diff suppressed because it is too large
Load Diff
9483
icews14.out
Normal file
9483
icews14.out
Normal file
File diff suppressed because it is too large
Load Diff
4331
icews14_l2_1e-5.out
Normal file
4331
icews14_l2_1e-5.out
Normal file
File diff suppressed because it is too large
Load Diff
@ -1964,3 +1964,25 @@
|
||||
2023-05-04 08:27:31,384 - fb_one_to_x - [INFO] - [E:34| 1500]: Train Loss:0.0027362, Val MRR:0.33574, fb_one_to_x
|
||||
2023-05-04 08:29:20,404 - fb_one_to_x - [INFO] - [E:34| 1600]: Train Loss:0.0027362, Val MRR:0.33574, fb_one_to_x
|
||||
2023-05-04 08:31:12,139 - fb_one_to_x - [INFO] - [E:34| 1700]: Train Loss:0.0027362, Val MRR:0.33574, fb_one_to_x
|
||||
2023-05-04 08:55:56,065 - fb_one_to_x - [INFO] - {'dataset': 'FB15k-237', 'name': 'fb_one_to_x', 'gpu': '0', 'train_strategy': 'one_to_n', 'opt': 'adam', 'neg_num': 1000, 'batch_size': 128, 'l2': 0.0, 'lr': 0.0001, 'max_epochs': 500, 'num_workers': 0, 'seed': 42, 'restore': False, 'lbl_smooth': 0.1, 'embed_dim': 400, 'ent_vec_dim': 400, 'rel_vec_dim': 400, 'bias': False, 'form': 'plain', 'k_w': 10, 'k_h': 20, 'num_filt': 96, 'ker_sz': 9, 'perm': 1, 'hid_drop': 0.5, 'feat_drop': 0.2, 'inp_drop': 0.2, 'drop_path': 0.1, 'drop': 0.2, 'in_channels': 1, 'out_channels': 32, 'filt_h': 1, 'filt_w': 9, 'image_h': 128, 'image_w': 128, 'patch_size': 8, 'mixer_dim': 256, 'expansion_factor': 4, 'expansion_factor_token': 0.5, 'mixer_depth': 16, 'mixer_dropout': 0.2, 'log_dir': './log/', 'config_dir': './config/', 'test_only': True}
|
||||
2023-05-04 08:56:07,953 - fb_one_to_x - [INFO] - [Test, Tail_Batch Step 0] fb_one_to_x
|
||||
2023-05-04 08:56:53,173 - fb_one_to_x - [INFO] - [Test, Tail_Batch Step 100] fb_one_to_x
|
||||
2023-05-04 08:57:20,187 - fb_one_to_x - [INFO] - [Test, Head_Batch Step 0] fb_one_to_x
|
||||
2023-05-04 08:58:08,090 - fb_one_to_x - [INFO] - [Test, Head_Batch Step 100] fb_one_to_x
|
||||
2023-05-04 08:58:36,338 - fb_one_to_x - [INFO] - [Evaluating Epoch 0 test]:
|
||||
MRR: Tail : 0.43029, Head : 0.23256, Avg : 0.33142
|
||||
MR: Tail : 149.91, Head : 288.48, Avg : 219.2
|
||||
Hit-1: Tail : 0.33563, Head : 0.14883, Avg : 0.24223
|
||||
Hit-3: Tail : 0.47068, Head : 0.25515, Avg : 0.36292
|
||||
Hit-10: Tail : 0.61952, Head : 0.40096, Avg : 0.51024
|
||||
2023-05-04 09:03:55,555 - fb_one_to_x - [INFO] - {'dataset': 'FB15k-237', 'name': 'fb_one_to_x', 'gpu': '0', 'train_strategy': 'one_to_n', 'opt': 'adam', 'neg_num': 1000, 'batch_size': 128, 'l2': 0.0, 'lr': 0.0001, 'max_epochs': 500, 'num_workers': 0, 'seed': 42, 'restore': False, 'lbl_smooth': 0.1, 'embed_dim': 400, 'ent_vec_dim': 400, 'rel_vec_dim': 400, 'bias': False, 'form': 'plain', 'k_w': 10, 'k_h': 20, 'num_filt': 96, 'ker_sz': 9, 'perm': 1, 'hid_drop': 0.5, 'feat_drop': 0.2, 'inp_drop': 0.2, 'drop_path': 0.1, 'drop': 0.2, 'in_channels': 1, 'out_channels': 32, 'filt_h': 1, 'filt_w': 9, 'image_h': 128, 'image_w': 128, 'patch_size': 8, 'mixer_dim': 256, 'expansion_factor': 4, 'expansion_factor_token': 0.5, 'mixer_depth': 16, 'mixer_dropout': 0.2, 'log_dir': './log/', 'config_dir': './config/', 'test_only': True}
|
||||
2023-05-04 09:04:07,491 - fb_one_to_x - [INFO] - [Test, Tail_Batch Step 0] fb_one_to_x
|
||||
2023-05-04 09:04:52,620 - fb_one_to_x - [INFO] - [Test, Tail_Batch Step 100] fb_one_to_x
|
||||
2023-05-04 09:05:19,645 - fb_one_to_x - [INFO] - [Test, Head_Batch Step 0] fb_one_to_x
|
||||
2023-05-04 09:06:07,591 - fb_one_to_x - [INFO] - [Test, Head_Batch Step 100] fb_one_to_x
|
||||
2023-05-04 09:06:35,660 - fb_one_to_x - [INFO] - [Evaluating Epoch 0 test]:
|
||||
MRR: Tail : 0.43029, Head : 0.23256, Avg : 0.33142
|
||||
MR: Tail : 149.91, Head : 288.48, Avg : 219.2
|
||||
Hit-1: Tail : 0.33563, Head : 0.14883, Avg : 0.24223
|
||||
Hit-3: Tail : 0.47068, Head : 0.25515, Avg : 0.36292
|
||||
Hit-10: Tail : 0.61952, Head : 0.40096, Avg : 0.51024
|
||||
|
||||
27
main.py
27
main.py
@ -3,6 +3,7 @@ import uuid
|
||||
import argparse
|
||||
import logging
|
||||
import logging.config
|
||||
import time
|
||||
|
||||
import torch
|
||||
import numpy as np
|
||||
@ -76,7 +77,7 @@ class Main(object):
|
||||
ent_set, rel_set = OrderedSet(), OrderedSet()
|
||||
for split in ['train', 'test', 'valid']:
|
||||
for line in open('./data/{}/{}.txt'.format(self.p.dataset, split)):
|
||||
sub, rel, obj = map(str.lower, line.strip().split('\t'))
|
||||
sub, rel, obj, *_ = map(str.lower, line.strip().split('\t'))
|
||||
ent_set.add(sub)
|
||||
rel_set.add(rel)
|
||||
ent_set.add(obj)
|
||||
@ -107,14 +108,20 @@ class Main(object):
|
||||
sr2o = ddict(set)
|
||||
|
||||
for split in ['train', 'test', 'valid']:
|
||||
for line in open('./data/{}/{}.txt'.format(self.p.dataset, split)):
|
||||
sub, rel, obj = map(str.lower, line.strip().split('\t'))
|
||||
samples = 0
|
||||
for i, line in enumerate(open('./data/{}/{}.txt'.format(self.p.dataset, split))):
|
||||
sub, rel, obj, rel_type, *_ = map(str.lower, line.strip().split('\t'))
|
||||
if (split == 'test' and self.p.rel_type is not None):
|
||||
if rel_type != self.p.rel_type:
|
||||
continue
|
||||
sub, rel, obj = self.ent2id[sub], self.rel2id[rel], self.ent2id[obj]
|
||||
self.data[split].append((sub, rel, obj))
|
||||
|
||||
if split == 'train':
|
||||
sr2o[(sub, rel)].add(obj)
|
||||
sr2o[(obj, rel+self.p.num_rel)].add(sub)
|
||||
samples += 1
|
||||
print(split.capitalize() + ': ' + str(samples) + ' samples')
|
||||
self.data = dict(self.data)
|
||||
|
||||
self.sr2o = {k: list(v) for k, v in sr2o.items()}
|
||||
@ -152,6 +159,8 @@ class Main(object):
|
||||
{'triple': (obj, rel_inv, sub), 'label': self.sr2o_all[(obj, rel_inv)]})
|
||||
|
||||
self.triples = dict(self.triples)
|
||||
print(len(self.triples['test_head']))
|
||||
print(len(self.triples['test_tail']))
|
||||
|
||||
def get_data_loader(dataset_class, split, batch_size, shuffle=True):
|
||||
return DataLoader(
|
||||
@ -626,6 +635,7 @@ if __name__ == "__main__":
|
||||
|
||||
parser.add_argument('--test_only', action='store_true', default=False)
|
||||
parser.add_argument('--grid_search', action='store_true', default=False)
|
||||
parser.add_argument('--rel_type', default=None, type=str)
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
@ -690,4 +700,13 @@ if __name__ == "__main__":
|
||||
model.load_model(save_path)
|
||||
model.evaluate('test')
|
||||
else:
|
||||
model.fit()
|
||||
while True:
|
||||
try:
|
||||
model.fit()
|
||||
except Exception as e:
|
||||
print(e)
|
||||
time.sleep(30)
|
||||
del model
|
||||
model = Main(args)
|
||||
continue
|
||||
break
|
||||
|
||||
14
run.sh
14
run.sh
@ -24,3 +24,17 @@ PID: 4503
|
||||
test: testrun_d542676f
|
||||
---
|
||||
nohup python main.py --gpu 3 --data WN18RR --drop 0.0 --drop_path 0.0 >run_log/fnet-wn.log 2>&1 &
|
||||
---
|
||||
nohup python main.py --name ice0003 --lr 0.0003 --data icews14 --gpu 1 >run_log/ice0003.log 2>&1 &
|
||||
PID: 3076
|
||||
tail -f -n 200 run_log/ice0003.log
|
||||
---
|
||||
nohup python main.py --name ice0003_2 --lr 0.00003 --data icews14 --gpu 3 >run_log/ice0003_2.log 2>&1 &
|
||||
PID: 3390
|
||||
tail -f -n 200 run_log/ice0003_2.log
|
||||
---
|
||||
nohup python main.py --name ice00001 --lr 0.00001 --data icews14 --gpu 2 >run_log/ice00001.log 2>&1 &
|
||||
PID:
|
||||
|
||||
___
|
||||
nohup python main.py --name ice001 --lr 0.001 --data icews14 --gpu 3 >run_log/0.001.log 2>&1 &
|
||||
10708
run_log/icews14/0.00001.log
Normal file
10708
run_log/icews14/0.00001.log
Normal file
File diff suppressed because it is too large
Load Diff
6653
run_log/icews14/0.00003.log
Normal file
6653
run_log/icews14/0.00003.log
Normal file
File diff suppressed because it is too large
Load Diff
9511
run_log/icews14/0.0001.out
Normal file
9511
run_log/icews14/0.0001.out
Normal file
File diff suppressed because it is too large
Load Diff
4950
run_log/icews14/0.0003.log
Normal file
4950
run_log/icews14/0.0003.log
Normal file
File diff suppressed because it is too large
Load Diff
6249
run_log/icews14/0.001.log
Normal file
6249
run_log/icews14/0.001.log
Normal file
File diff suppressed because it is too large
Load Diff
425
run_log/wikidata12k/0.001.log
Normal file
425
run_log/wikidata12k/0.001.log
Normal file
@ -0,0 +1,425 @@
|
||||
nohup: ignoring input
|
||||
2023-05-27 04:41:18,497 - [INFO] - {'dataset': 'wikidata12k', 'name': 'wikidata12k_0.001', 'gpu': '3', 'train_strategy': 'one_to_n', 'opt': 'adam', 'neg_num': 1000, 'batch_size': 128, 'l2': 0.0, 'lr': 0.001, 'max_epochs': 500, 'num_workers': 0, 'seed': 42, 'restore': False, 'lbl_smooth': 0.1, 'embed_dim': 400, 'ent_vec_dim': 400, 'rel_vec_dim': 400, 'bias': False, 'form': 'plain', 'k_w': 10, 'k_h': 20, 'num_filt': 96, 'ker_sz': 9, 'perm': 1, 'hid_drop': 0.5, 'feat_drop': 0.2, 'inp_drop': 0.2, 'drop_path': 0.0, 'drop': 0.0, 'in_channels': 1, 'out_channels': 32, 'filt_h': 1, 'filt_w': 9, 'image_h': 128, 'image_w': 128, 'patch_size': 8, 'mixer_dim': 256, 'expansion_factor': 4, 'expansion_factor_token': 0.5, 'mixer_depth': 16, 'mixer_dropout': 0.2, 'log_dir': './log/', 'config_dir': './config/', 'test_only': False, 'grid_search': False}
|
||||
{'batch_size': 128,
|
||||
'bias': False,
|
||||
'config_dir': './config/',
|
||||
'dataset': 'wikidata12k',
|
||||
'drop': 0.0,
|
||||
'drop_path': 0.0,
|
||||
'embed_dim': 400,
|
||||
'ent_vec_dim': 400,
|
||||
'expansion_factor': 4,
|
||||
'expansion_factor_token': 0.5,
|
||||
'feat_drop': 0.2,
|
||||
'filt_h': 1,
|
||||
'filt_w': 9,
|
||||
'form': 'plain',
|
||||
'gpu': '3',
|
||||
'grid_search': False,
|
||||
'hid_drop': 0.5,
|
||||
'image_h': 128,
|
||||
'image_w': 128,
|
||||
'in_channels': 1,
|
||||
'inp_drop': 0.2,
|
||||
'k_h': 20,
|
||||
'k_w': 10,
|
||||
'ker_sz': 9,
|
||||
'l2': 0.0,
|
||||
'lbl_smooth': 0.1,
|
||||
'log_dir': './log/',
|
||||
'lr': 0.001,
|
||||
'max_epochs': 500,
|
||||
'mixer_depth': 16,
|
||||
'mixer_dim': 256,
|
||||
'mixer_dropout': 0.2,
|
||||
'name': 'wikidata12k_0.001',
|
||||
'neg_num': 1000,
|
||||
'num_filt': 96,
|
||||
'num_workers': 0,
|
||||
'opt': 'adam',
|
||||
'out_channels': 32,
|
||||
'patch_size': 8,
|
||||
'perm': 1,
|
||||
'rel_vec_dim': 400,
|
||||
'restore': False,
|
||||
'seed': 42,
|
||||
'test_only': False,
|
||||
'train_strategy': 'one_to_n'}
|
||||
2023-05-27 04:41:28,635 - [INFO] - [E:0| 0]: Train Loss:0.69813, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:42:32,570 - [INFO] - [E:0| 100]: Train Loss:0.053587, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:43:36,618 - [INFO] - [E:0| 200]: Train Loss:0.028724, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:44:40,687 - [INFO] - [E:0| 300]: Train Loss:0.020033, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:45:44,799 - [INFO] - [E:0| 400]: Train Loss:0.015589, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:46:48,901 - [INFO] - [E:0| 500]: Train Loss:0.012878, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:47:53,124 - [INFO] - [E:0| 600]: Train Loss:0.011054, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:48:57,224 - [INFO] - [E:0| 700]: Train Loss:0.0097532, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:50:01,352 - [INFO] - [E:0| 800]: Train Loss:0.008763, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:51:05,445 - [INFO] - [E:0| 900]: Train Loss:0.0079929, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:52:09,559 - [INFO] - [E:0| 1000]: Train Loss:0.0073745, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:53:13,624 - [INFO] - [E:0| 1100]: Train Loss:0.0068693, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:54:17,823 - [INFO] - [E:0| 1200]: Train Loss:0.0064497, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:55:21,967 - [INFO] - [E:0| 1300]: Train Loss:0.0060945, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:56:26,129 - [INFO] - [E:0| 1400]: Train Loss:0.0057879, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:57:30,256 - [INFO] - [E:0| 1500]: Train Loss:0.0055195, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:58:34,350 - [INFO] - [E:0| 1600]: Train Loss:0.0052845, Val MRR:0.0, wikidata12k_0.001
|
||||
2023-05-27 04:59:16,259 - [INFO] - [Epoch:0]: Training Loss:0.005147
|
||||
|
||||
2023-05-27 04:59:16,481 - [INFO] - [Valid, Tail_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 04:59:38,187 - [INFO] - [Valid, Tail_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 04:59:50,745 - [INFO] - [Valid, Head_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 05:00:12,609 - [INFO] - [Valid, Head_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 05:00:25,062 - [INFO] - [Evaluating Epoch 0 valid]:
|
||||
MRR: Tail : 0.08049, Head : 0.01947, Avg : 0.04998
|
||||
|
||||
2023-05-27 05:00:26,469 - [INFO] - [Epoch 0]: Training Loss: 0.0051469, Valid MRR: 0.04998,
|
||||
|
||||
|
||||
|
||||
2023-05-27 05:00:27,127 - [INFO] - [E:1| 0]: Train Loss:0.0016275, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:01:31,277 - [INFO] - [E:1| 100]: Train Loss:0.0017991, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:02:35,390 - [INFO] - [E:1| 200]: Train Loss:0.0017846, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:03:39,590 - [INFO] - [E:1| 300]: Train Loss:0.0017789, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:04:43,748 - [INFO] - [E:1| 400]: Train Loss:0.001772, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:05:47,967 - [INFO] - [E:1| 500]: Train Loss:0.0017692, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:06:52,036 - [INFO] - [E:1| 600]: Train Loss:0.0017597, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:07:56,215 - [INFO] - [E:1| 700]: Train Loss:0.0017589, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:09:00,363 - [INFO] - [E:1| 800]: Train Loss:0.0017555, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:10:04,516 - [INFO] - [E:1| 900]: Train Loss:0.0017507, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:11:08,719 - [INFO] - [E:1| 1000]: Train Loss:0.0017476, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:12:12,940 - [INFO] - [E:1| 1100]: Train Loss:0.0017427, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:13:17,076 - [INFO] - [E:1| 1200]: Train Loss:0.0017384, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:14:21,295 - [INFO] - [E:1| 1300]: Train Loss:0.0017345, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:15:25,462 - [INFO] - [E:1| 1400]: Train Loss:0.0017307, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:16:29,614 - [INFO] - [E:1| 1500]: Train Loss:0.0017243, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:17:33,705 - [INFO] - [E:1| 1600]: Train Loss:0.001719, Val MRR:0.04998, wikidata12k_0.001
|
||||
2023-05-27 05:18:15,618 - [INFO] - [Epoch:1]: Training Loss:0.001714
|
||||
|
||||
2023-05-27 05:18:15,839 - [INFO] - [Valid, Tail_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 05:18:37,583 - [INFO] - [Valid, Tail_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 05:18:50,191 - [INFO] - [Valid, Head_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 05:19:12,067 - [INFO] - [Valid, Head_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 05:19:24,503 - [INFO] - [Evaluating Epoch 1 valid]:
|
||||
MRR: Tail : 0.1748, Head : 0.04108, Avg : 0.10794
|
||||
|
||||
2023-05-27 05:19:25,566 - [INFO] - [Epoch 1]: Training Loss: 0.0017143, Valid MRR: 0.10794,
|
||||
|
||||
|
||||
|
||||
2023-05-27 05:19:26,219 - [INFO] - [E:2| 0]: Train Loss:0.0016961, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:20:30,344 - [INFO] - [E:2| 100]: Train Loss:0.0016227, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:21:34,535 - [INFO] - [E:2| 200]: Train Loss:0.0016161, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:22:38,770 - [INFO] - [E:2| 300]: Train Loss:0.0016161, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:23:43,004 - [INFO] - [E:2| 400]: Train Loss:0.0016106, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:24:47,137 - [INFO] - [E:2| 500]: Train Loss:0.0016058, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:25:51,362 - [INFO] - [E:2| 600]: Train Loss:0.0016067, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:26:55,499 - [INFO] - [E:2| 700]: Train Loss:0.0016013, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:27:59,761 - [INFO] - [E:2| 800]: Train Loss:0.0015978, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:29:03,935 - [INFO] - [E:2| 900]: Train Loss:0.0015935, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:30:08,210 - [INFO] - [E:2| 1000]: Train Loss:0.0015896, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:31:12,398 - [INFO] - [E:2| 1100]: Train Loss:0.0015856, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:32:16,608 - [INFO] - [E:2| 1200]: Train Loss:0.0015814, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:33:20,836 - [INFO] - [E:2| 1300]: Train Loss:0.0015758, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:34:25,014 - [INFO] - [E:2| 1400]: Train Loss:0.001571, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:35:29,265 - [INFO] - [E:2| 1500]: Train Loss:0.001565, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:36:33,450 - [INFO] - [E:2| 1600]: Train Loss:0.0015589, Val MRR:0.10794, wikidata12k_0.001
|
||||
2023-05-27 05:37:15,383 - [INFO] - [Epoch:2]: Training Loss:0.001556
|
||||
|
||||
2023-05-27 05:37:15,603 - [INFO] - [Valid, Tail_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 05:37:37,308 - [INFO] - [Valid, Tail_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 05:37:49,874 - [INFO] - [Valid, Head_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 05:38:11,738 - [INFO] - [Valid, Head_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 05:38:24,173 - [INFO] - [Evaluating Epoch 2 valid]:
|
||||
MRR: Tail : 0.28305, Head : 0.07818, Avg : 0.18062
|
||||
|
||||
2023-05-27 05:38:25,157 - [INFO] - [Epoch 2]: Training Loss: 0.001556, Valid MRR: 0.18062,
|
||||
|
||||
|
||||
|
||||
2023-05-27 05:38:25,813 - [INFO] - [E:3| 0]: Train Loss:0.0013897, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:39:30,024 - [INFO] - [E:3| 100]: Train Loss:0.0014599, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:40:34,122 - [INFO] - [E:3| 200]: Train Loss:0.0014516, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:41:38,261 - [INFO] - [E:3| 300]: Train Loss:0.0014552, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:42:42,459 - [INFO] - [E:3| 400]: Train Loss:0.0014541, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:43:46,707 - [INFO] - [E:3| 500]: Train Loss:0.0014521, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:44:50,829 - [INFO] - [E:3| 600]: Train Loss:0.0014476, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:45:54,979 - [INFO] - [E:3| 700]: Train Loss:0.0014439, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:46:59,115 - [INFO] - [E:3| 800]: Train Loss:0.0014396, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:48:03,341 - [INFO] - [E:3| 900]: Train Loss:0.0014367, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:49:07,419 - [INFO] - [E:3| 1000]: Train Loss:0.0014329, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:50:11,647 - [INFO] - [E:3| 1100]: Train Loss:0.0014308, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:51:15,783 - [INFO] - [E:3| 1200]: Train Loss:0.0014276, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:52:19,915 - [INFO] - [E:3| 1300]: Train Loss:0.0014245, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:53:24,121 - [INFO] - [E:3| 1400]: Train Loss:0.0014212, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:54:28,236 - [INFO] - [E:3| 1500]: Train Loss:0.0014184, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:55:32,482 - [INFO] - [E:3| 1600]: Train Loss:0.0014147, Val MRR:0.18062, wikidata12k_0.001
|
||||
2023-05-27 05:56:14,438 - [INFO] - [Epoch:3]: Training Loss:0.001413
|
||||
|
||||
2023-05-27 05:56:14,658 - [INFO] - [Valid, Tail_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 05:56:36,372 - [INFO] - [Valid, Tail_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 05:56:48,954 - [INFO] - [Valid, Head_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 05:57:10,881 - [INFO] - [Valid, Head_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 05:57:23,328 - [INFO] - [Evaluating Epoch 3 valid]:
|
||||
MRR: Tail : 0.31549, Head : 0.09979, Avg : 0.20764
|
||||
|
||||
2023-05-27 05:57:24,420 - [INFO] - [Epoch 3]: Training Loss: 0.001413, Valid MRR: 0.20764,
|
||||
|
||||
|
||||
|
||||
2023-05-27 05:57:25,077 - [INFO] - [E:4| 0]: Train Loss:0.0014323, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 05:58:29,238 - [INFO] - [E:4| 100]: Train Loss:0.0013524, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 05:59:33,410 - [INFO] - [E:4| 200]: Train Loss:0.0013439, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:00:37,566 - [INFO] - [E:4| 300]: Train Loss:0.0013507, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:01:41,692 - [INFO] - [E:4| 400]: Train Loss:0.0013525, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:02:45,877 - [INFO] - [E:4| 500]: Train Loss:0.0013497, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:03:50,088 - [INFO] - [E:4| 600]: Train Loss:0.0013468, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:04:54,238 - [INFO] - [E:4| 700]: Train Loss:0.0013447, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:05:58,490 - [INFO] - [E:4| 800]: Train Loss:0.0013417, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:07:02,645 - [INFO] - [E:4| 900]: Train Loss:0.001339, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:08:06,755 - [INFO] - [E:4| 1000]: Train Loss:0.0013377, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:09:10,902 - [INFO] - [E:4| 1100]: Train Loss:0.0013348, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:10:15,038 - [INFO] - [E:4| 1200]: Train Loss:0.0013326, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:11:19,143 - [INFO] - [E:4| 1300]: Train Loss:0.0013302, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:12:23,347 - [INFO] - [E:4| 1400]: Train Loss:0.0013283, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:13:27,477 - [INFO] - [E:4| 1500]: Train Loss:0.0013269, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:14:31,542 - [INFO] - [E:4| 1600]: Train Loss:0.0013247, Val MRR:0.20764, wikidata12k_0.001
|
||||
2023-05-27 06:15:13,457 - [INFO] - [Epoch:4]: Training Loss:0.001323
|
||||
|
||||
2023-05-27 06:15:13,677 - [INFO] - [Valid, Tail_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 06:15:35,362 - [INFO] - [Valid, Tail_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 06:15:47,916 - [INFO] - [Valid, Head_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 06:16:09,784 - [INFO] - [Valid, Head_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 06:16:22,221 - [INFO] - [Evaluating Epoch 4 valid]:
|
||||
MRR: Tail : 0.36022, Head : 0.1037, Avg : 0.23196
|
||||
|
||||
2023-05-27 06:16:23,220 - [INFO] - [Epoch 4]: Training Loss: 0.0013235, Valid MRR: 0.23196,
|
||||
|
||||
|
||||
|
||||
2023-05-27 06:16:23,875 - [INFO] - [E:5| 0]: Train Loss:0.0013387, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:17:28,154 - [INFO] - [E:5| 100]: Train Loss:0.0012781, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:18:32,286 - [INFO] - [E:5| 200]: Train Loss:0.0012786, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:19:36,495 - [INFO] - [E:5| 300]: Train Loss:0.0012809, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:20:40,588 - [INFO] - [E:5| 400]: Train Loss:0.0012857, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:21:44,792 - [INFO] - [E:5| 500]: Train Loss:0.0012853, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:22:49,006 - [INFO] - [E:5| 600]: Train Loss:0.0012833, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:23:53,190 - [INFO] - [E:5| 700]: Train Loss:0.0012812, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:24:57,311 - [INFO] - [E:5| 800]: Train Loss:0.0012813, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:26:01,510 - [INFO] - [E:5| 900]: Train Loss:0.0012801, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:27:05,756 - [INFO] - [E:5| 1000]: Train Loss:0.0012789, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:28:09,936 - [INFO] - [E:5| 1100]: Train Loss:0.0012769, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:29:14,145 - [INFO] - [E:5| 1200]: Train Loss:0.0012746, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:30:18,293 - [INFO] - [E:5| 1300]: Train Loss:0.0012721, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:31:22,538 - [INFO] - [E:5| 1400]: Train Loss:0.0012703, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:32:26,694 - [INFO] - [E:5| 1500]: Train Loss:0.0012689, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:33:30,913 - [INFO] - [E:5| 1600]: Train Loss:0.0012677, Val MRR:0.23196, wikidata12k_0.001
|
||||
2023-05-27 06:34:12,771 - [INFO] - [Epoch:5]: Training Loss:0.001267
|
||||
|
||||
2023-05-27 06:34:12,992 - [INFO] - [Valid, Tail_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 06:34:34,725 - [INFO] - [Valid, Tail_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 06:34:47,309 - [INFO] - [Valid, Head_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 06:35:09,233 - [INFO] - [Valid, Head_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 06:35:21,676 - [INFO] - [Evaluating Epoch 5 valid]:
|
||||
MRR: Tail : 0.39017, Head : 0.12832, Avg : 0.25924
|
||||
|
||||
2023-05-27 06:35:22,811 - [INFO] - [Epoch 5]: Training Loss: 0.0012668, Valid MRR: 0.25924,
|
||||
|
||||
|
||||
|
||||
2023-05-27 06:35:23,469 - [INFO] - [E:6| 0]: Train Loss:0.0011894, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:36:27,594 - [INFO] - [E:6| 100]: Train Loss:0.0012342, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:37:31,786 - [INFO] - [E:6| 200]: Train Loss:0.0012378, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:38:35,956 - [INFO] - [E:6| 300]: Train Loss:0.0012388, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:39:40,226 - [INFO] - [E:6| 400]: Train Loss:0.0012378, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:40:44,423 - [INFO] - [E:6| 500]: Train Loss:0.0012438, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:41:48,645 - [INFO] - [E:6| 600]: Train Loss:0.0012421, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:42:52,773 - [INFO] - [E:6| 700]: Train Loss:0.0012408, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:43:56,948 - [INFO] - [E:6| 800]: Train Loss:0.0012416, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:45:01,063 - [INFO] - [E:6| 900]: Train Loss:0.001242, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:46:05,216 - [INFO] - [E:6| 1000]: Train Loss:0.0012397, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:47:09,350 - [INFO] - [E:6| 1100]: Train Loss:0.0012386, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:48:13,445 - [INFO] - [E:6| 1200]: Train Loss:0.0012373, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:49:17,622 - [INFO] - [E:6| 1300]: Train Loss:0.0012363, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:50:21,832 - [INFO] - [E:6| 1400]: Train Loss:0.0012346, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:51:26,056 - [INFO] - [E:6| 1500]: Train Loss:0.0012342, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:52:30,214 - [INFO] - [E:6| 1600]: Train Loss:0.001233, Val MRR:0.25924, wikidata12k_0.001
|
||||
2023-05-27 06:53:12,160 - [INFO] - [Epoch:6]: Training Loss:0.001232
|
||||
|
||||
2023-05-27 06:53:12,380 - [INFO] - [Valid, Tail_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 06:53:34,088 - [INFO] - [Valid, Tail_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 06:53:46,650 - [INFO] - [Valid, Head_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 06:54:08,519 - [INFO] - [Valid, Head_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 06:54:20,952 - [INFO] - [Evaluating Epoch 6 valid]:
|
||||
MRR: Tail : 0.37877, Head : 0.18554, Avg : 0.28215
|
||||
|
||||
2023-05-27 06:54:22,025 - [INFO] - [Epoch 6]: Training Loss: 0.0012324, Valid MRR: 0.28215,
|
||||
|
||||
|
||||
|
||||
2023-05-27 06:54:22,682 - [INFO] - [E:7| 0]: Train Loss:0.0011315, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 06:55:26,826 - [INFO] - [E:7| 100]: Train Loss:0.001205, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 06:56:30,996 - [INFO] - [E:7| 200]: Train Loss:0.0012037, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 06:57:35,173 - [INFO] - [E:7| 300]: Train Loss:0.0012034, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 06:58:39,365 - [INFO] - [E:7| 400]: Train Loss:0.0012073, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 06:59:43,659 - [INFO] - [E:7| 500]: Train Loss:0.0012094, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 07:00:47,839 - [INFO] - [E:7| 600]: Train Loss:0.0012093, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 07:01:51,994 - [INFO] - [E:7| 700]: Train Loss:0.0012077, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 07:02:56,159 - [INFO] - [E:7| 800]: Train Loss:0.0012085, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 07:04:00,272 - [INFO] - [E:7| 900]: Train Loss:0.0012086, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 07:05:04,432 - [INFO] - [E:7| 1000]: Train Loss:0.0012104, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 07:06:08,565 - [INFO] - [E:7| 1100]: Train Loss:0.00121, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 07:07:12,766 - [INFO] - [E:7| 1200]: Train Loss:0.0012097, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 07:08:16,920 - [INFO] - [E:7| 1300]: Train Loss:0.0012101, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 07:09:21,081 - [INFO] - [E:7| 1400]: Train Loss:0.0012095, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 07:10:25,247 - [INFO] - [E:7| 1500]: Train Loss:0.0012082, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 07:11:29,494 - [INFO] - [E:7| 1600]: Train Loss:0.0012075, Val MRR:0.28215, wikidata12k_0.001
|
||||
2023-05-27 07:12:11,381 - [INFO] - [Epoch:7]: Training Loss:0.001208
|
||||
|
||||
2023-05-27 07:12:11,602 - [INFO] - [Valid, Tail_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 07:12:33,359 - [INFO] - [Valid, Tail_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 07:12:45,946 - [INFO] - [Valid, Head_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 07:13:07,852 - [INFO] - [Valid, Head_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 07:13:20,334 - [INFO] - [Evaluating Epoch 7 valid]:
|
||||
MRR: Tail : 0.40626, Head : 0.21375, Avg : 0.31001
|
||||
|
||||
2023-05-27 07:13:21,326 - [INFO] - [Epoch 7]: Training Loss: 0.0012077, Valid MRR: 0.31001,
|
||||
|
||||
|
||||
|
||||
2023-05-27 07:13:21,980 - [INFO] - [E:8| 0]: Train Loss:0.0012363, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:14:26,096 - [INFO] - [E:8| 100]: Train Loss:0.0011868, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:15:30,354 - [INFO] - [E:8| 200]: Train Loss:0.0011847, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:16:34,466 - [INFO] - [E:8| 300]: Train Loss:0.0011814, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:17:38,565 - [INFO] - [E:8| 400]: Train Loss:0.0011847, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:18:42,799 - [INFO] - [E:8| 500]: Train Loss:0.0011887, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:19:46,964 - [INFO] - [E:8| 600]: Train Loss:0.0011901, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:20:51,144 - [INFO] - [E:8| 700]: Train Loss:0.0011897, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:21:55,282 - [INFO] - [E:8| 800]: Train Loss:0.0011913, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:22:59,411 - [INFO] - [E:8| 900]: Train Loss:0.0011918, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:24:03,538 - [INFO] - [E:8| 1000]: Train Loss:0.0011908, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:25:07,761 - [INFO] - [E:8| 1100]: Train Loss:0.0011915, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:26:11,872 - [INFO] - [E:8| 1200]: Train Loss:0.0011925, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:27:16,041 - [INFO] - [E:8| 1300]: Train Loss:0.0011918, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:28:20,210 - [INFO] - [E:8| 1400]: Train Loss:0.0011905, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:29:24,336 - [INFO] - [E:8| 1500]: Train Loss:0.0011898, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:30:28,566 - [INFO] - [E:8| 1600]: Train Loss:0.0011888, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:31:10,538 - [INFO] - [Epoch:8]: Training Loss:0.001189
|
||||
|
||||
2023-05-27 07:31:10,758 - [INFO] - [Valid, Tail_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 07:31:32,478 - [INFO] - [Valid, Tail_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 07:31:45,038 - [INFO] - [Valid, Head_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 07:32:06,913 - [INFO] - [Valid, Head_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 07:32:19,354 - [INFO] - [Evaluating Epoch 8 valid]:
|
||||
MRR: Tail : 0.41408, Head : 0.20141, Avg : 0.30774
|
||||
|
||||
2023-05-27 07:32:19,354 - [INFO] - [Epoch 8]: Training Loss: 0.0011888, Valid MRR: 0.31001,
|
||||
|
||||
|
||||
|
||||
2023-05-27 07:32:20,011 - [INFO] - [E:9| 0]: Train Loss:0.0011748, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:33:24,159 - [INFO] - [E:9| 100]: Train Loss:0.0011746, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:34:28,351 - [INFO] - [E:9| 200]: Train Loss:0.0011787, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:35:32,472 - [INFO] - [E:9| 300]: Train Loss:0.0011761, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:36:36,656 - [INFO] - [E:9| 400]: Train Loss:0.0011729, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:37:40,796 - [INFO] - [E:9| 500]: Train Loss:0.0011725, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:38:44,981 - [INFO] - [E:9| 600]: Train Loss:0.0011741, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:39:49,133 - [INFO] - [E:9| 700]: Train Loss:0.001173, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:40:53,329 - [INFO] - [E:9| 800]: Train Loss:0.0011736, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:41:57,558 - [INFO] - [E:9| 900]: Train Loss:0.0011731, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:43:01,737 - [INFO] - [E:9| 1000]: Train Loss:0.0011729, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:44:05,854 - [INFO] - [E:9| 1100]: Train Loss:0.001173, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:45:10,080 - [INFO] - [E:9| 1200]: Train Loss:0.0011727, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:46:14,191 - [INFO] - [E:9| 1300]: Train Loss:0.0011718, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:47:18,385 - [INFO] - [E:9| 1400]: Train Loss:0.001171, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:48:22,543 - [INFO] - [E:9| 1500]: Train Loss:0.0011709, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:49:26,748 - [INFO] - [E:9| 1600]: Train Loss:0.0011712, Val MRR:0.31001, wikidata12k_0.001
|
||||
2023-05-27 07:50:08,734 - [INFO] - [Epoch:9]: Training Loss:0.001171
|
||||
|
||||
2023-05-27 07:50:08,954 - [INFO] - [Valid, Tail_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 07:50:30,672 - [INFO] - [Valid, Tail_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 07:50:43,251 - [INFO] - [Valid, Head_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 07:51:05,138 - [INFO] - [Valid, Head_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 07:51:17,628 - [INFO] - [Evaluating Epoch 9 valid]:
|
||||
MRR: Tail : 0.42849, Head : 0.23814, Avg : 0.33331
|
||||
MR: Tail : 655.47, Head : 840.42, Avg : 747.94
|
||||
Hit-1: Tail : 0.35832, Head : 0.15504, Avg : 0.25668
|
||||
Hit-3: Tail : 0.45838, Head : 0.2739, Avg : 0.36614
|
||||
Hit-10: Tail : 0.55785, Head : 0.39074, Avg : 0.47429
|
||||
2023-05-27 07:51:18,545 - [INFO] - [Epoch 9]: Training Loss: 0.0011709, Valid MRR: 0.33331,
|
||||
|
||||
|
||||
|
||||
2023-05-27 07:51:19,204 - [INFO] - [E:10| 0]: Train Loss:0.00113, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 07:52:23,358 - [INFO] - [E:10| 100]: Train Loss:0.0011531, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 07:53:27,523 - [INFO] - [E:10| 200]: Train Loss:0.0011557, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 07:54:31,758 - [INFO] - [E:10| 300]: Train Loss:0.0011545, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 07:55:36,004 - [INFO] - [E:10| 400]: Train Loss:0.0011554, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 07:56:40,140 - [INFO] - [E:10| 500]: Train Loss:0.001154, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 07:57:44,301 - [INFO] - [E:10| 600]: Train Loss:0.0011525, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 07:58:48,517 - [INFO] - [E:10| 700]: Train Loss:0.0011538, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 07:59:52,698 - [INFO] - [E:10| 800]: Train Loss:0.0011536, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 08:00:56,912 - [INFO] - [E:10| 900]: Train Loss:0.0011541, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 08:02:01,143 - [INFO] - [E:10| 1000]: Train Loss:0.0011546, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 08:03:05,293 - [INFO] - [E:10| 1100]: Train Loss:0.0011542, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 08:04:09,471 - [INFO] - [E:10| 1200]: Train Loss:0.0011539, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 08:05:13,701 - [INFO] - [E:10| 1300]: Train Loss:0.0011531, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 08:06:17,887 - [INFO] - [E:10| 1400]: Train Loss:0.0011534, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 08:07:22,089 - [INFO] - [E:10| 1500]: Train Loss:0.0011546, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 08:08:26,239 - [INFO] - [E:10| 1600]: Train Loss:0.0011552, Val MRR:0.33331, wikidata12k_0.001
|
||||
2023-05-27 08:09:08,153 - [INFO] - [Epoch:10]: Training Loss:0.001156
|
||||
|
||||
2023-05-27 08:09:08,373 - [INFO] - [Valid, Tail_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 08:09:30,456 - [INFO] - [Valid, Tail_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 08:09:43,084 - [INFO] - [Valid, Head_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 08:10:05,005 - [INFO] - [Valid, Head_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 08:10:17,448 - [INFO] - [Evaluating Epoch 10 valid]:
|
||||
MRR: Tail : 0.45191, Head : 0.21626, Avg : 0.33409
|
||||
|
||||
2023-05-27 08:10:18,436 - [INFO] - [Epoch 10]: Training Loss: 0.0011556, Valid MRR: 0.33409,
|
||||
|
||||
|
||||
|
||||
2023-05-27 08:10:19,090 - [INFO] - [E:11| 0]: Train Loss:0.0011363, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:11:23,530 - [INFO] - [E:11| 100]: Train Loss:0.0011426, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:12:27,950 - [INFO] - [E:11| 200]: Train Loss:0.0011483, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:13:32,143 - [INFO] - [E:11| 300]: Train Loss:0.0011472, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:14:36,469 - [INFO] - [E:11| 400]: Train Loss:0.0011477, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:15:40,641 - [INFO] - [E:11| 500]: Train Loss:0.0011474, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:16:44,731 - [INFO] - [E:11| 600]: Train Loss:0.0011465, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:17:48,900 - [INFO] - [E:11| 700]: Train Loss:0.0011469, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:18:53,113 - [INFO] - [E:11| 800]: Train Loss:0.0011469, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:19:57,285 - [INFO] - [E:11| 900]: Train Loss:0.0011457, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:21:01,406 - [INFO] - [E:11| 1000]: Train Loss:0.0011445, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:22:05,596 - [INFO] - [E:11| 1100]: Train Loss:0.0011434, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:23:09,693 - [INFO] - [E:11| 1200]: Train Loss:0.0011431, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:24:13,830 - [INFO] - [E:11| 1300]: Train Loss:0.001143, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:25:18,076 - [INFO] - [E:11| 1400]: Train Loss:0.0011426, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:26:22,160 - [INFO] - [E:11| 1500]: Train Loss:0.0011422, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:27:26,373 - [INFO] - [E:11| 1600]: Train Loss:0.0011418, Val MRR:0.33409, wikidata12k_0.001
|
||||
2023-05-27 08:28:08,368 - [INFO] - [Epoch:11]: Training Loss:0.001142
|
||||
|
||||
2023-05-27 08:28:08,589 - [INFO] - [Valid, Tail_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 08:28:30,301 - [INFO] - [Valid, Tail_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 08:28:42,888 - [INFO] - [Valid, Head_Batch Step 0] wikidata12k_0.001
|
||||
2023-05-27 08:29:04,760 - [INFO] - [Valid, Head_Batch Step 100] wikidata12k_0.001
|
||||
2023-05-27 08:29:17,200 - [INFO] - [Evaluating Epoch 11 valid]:
|
||||
MRR: Tail : 0.4433, Head : 0.23916, Avg : 0.34123
|
||||
|
||||
2023-05-27 08:29:18,266 - [INFO] - [Epoch 11]: Training Loss: 0.0011416, Valid MRR: 0.34123,
|
||||
|
||||
|
||||
|
||||
2023-05-27 08:29:18,927 - [INFO] - [E:12| 0]: Train Loss:0.0010957, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:30:23,063 - [INFO] - [E:12| 100]: Train Loss:0.0011303, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:31:27,243 - [INFO] - [E:12| 200]: Train Loss:0.001132, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:32:31,360 - [INFO] - [E:12| 300]: Train Loss:0.0011321, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:33:35,484 - [INFO] - [E:12| 400]: Train Loss:0.0011313, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:34:39,656 - [INFO] - [E:12| 500]: Train Loss:0.0011302, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:35:43,783 - [INFO] - [E:12| 600]: Train Loss:0.0011318, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:36:47,900 - [INFO] - [E:12| 700]: Train Loss:0.0011316, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:37:52,082 - [INFO] - [E:12| 800]: Train Loss:0.0011323, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:38:56,174 - [INFO] - [E:12| 900]: Train Loss:0.001132, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:40:00,316 - [INFO] - [E:12| 1000]: Train Loss:0.0011317, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:41:04,530 - [INFO] - [E:12| 1100]: Train Loss:0.0011322, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:42:08,648 - [INFO] - [E:12| 1200]: Train Loss:0.0011318, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:43:12,819 - [INFO] - [E:12| 1300]: Train Loss:0.0011314, Val MRR:0.34123, wikidata12k_0.001
|
||||
2023-05-27 08:44:18,052 - [INFO] - [E:12| 1400]: Train Loss:0.0011312, Val MRR:0.34123, wikidata12k_0.001
|
||||
53
visualization_util.py
Normal file
53
visualization_util.py
Normal file
@ -0,0 +1,53 @@
|
||||
import argparse
|
||||
import re
|
||||
import os
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
from datetime import datetime
|
||||
|
||||
def extract_learning_curves(args):
|
||||
paths = args.log_path.split(',')
|
||||
if len(paths) == 1 and os.path.isdir(paths[0]):
|
||||
paths = [os.path.join(paths[0], f) for f in os.listdir(paths[0]) if os.path.isfile(os.path.join(paths[0], f))]
|
||||
learning_curves = {}
|
||||
for path in paths:
|
||||
learning_curve = []
|
||||
lines = open(path, 'r').readlines()
|
||||
for line in lines:
|
||||
matched = re.match(r'[0-9\- :,]*\[INFO\] - \[Epoch ([0-9]+)\].*Valid MRR: ([0-9\.]+).*', line)
|
||||
if matched:
|
||||
learning_curve.append(float(matched.group(2)))
|
||||
if int(matched.group(1)) >= args.num_epochs:
|
||||
break
|
||||
learning_curves[os.path.basename(path)] = learning_curve
|
||||
return learning_curves
|
||||
|
||||
def draw_learning_curves(args, learning_curves):
|
||||
for name in learning_curves.keys():
|
||||
epochs = np.arange(len(learning_curves[name]))
|
||||
matched = re.match(r'(.*)\..*', name)
|
||||
if matched:
|
||||
label = matched.group(1)
|
||||
else:
|
||||
label = name
|
||||
plt.plot(epochs, learning_curves[name], label = label)
|
||||
plt.xlabel("Epochs")
|
||||
plt.ylabel("MRR")
|
||||
plt.legend(title=args.legend_title)
|
||||
plt.savefig(os.path.join(args.out_path, str(round(datetime.utcnow().timestamp() * 1000)) + '.' + args.fig_filetype))
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
parser = argparse.ArgumentParser(
|
||||
description="Parser For Arguments", formatter_class=argparse.ArgumentDefaultsHelpFormatter)
|
||||
parser.add_argument('--task', default = None, type=str)
|
||||
parser.add_argument('--log_path', type=str, default=None)
|
||||
parser.add_argument('--out_path', type=str, default=None)
|
||||
parser.add_argument('--num_epochs', type=int, default=200)
|
||||
parser.add_argument('--legend_title', type=str, default="Learning rate")
|
||||
parser.add_argument('--fig_filetype', type=str, default="svg")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if (args.task == 'learning_curve'):
|
||||
draw_learning_curves(args, extract_learning_curves(args))
|
||||
1072
wikidata12k.log
Normal file
1072
wikidata12k.log
Normal file
File diff suppressed because it is too large
Load Diff
15209
wikidata12k_1n.out
Normal file
15209
wikidata12k_1n.out
Normal file
File diff suppressed because it is too large
Load Diff
75
wikidata12k_at.out
Normal file
75
wikidata12k_at.out
Normal file
@ -0,0 +1,75 @@
|
||||
nohup: ignoring input
|
||||
2023-05-27 08:51:48,116 - [INFO] - {'dataset': 'wikidata12k', 'name': 'wikidata12k_at', 'gpu': '3', 'train_strategy': 'one_to_n', 'opt': 'adam', 'neg_num': 1000, 'batch_size': 128, 'l2': 0.0, 'lr': 0.0001, 'max_epochs': 500, 'num_workers': 0, 'seed': 42, 'restore': False, 'lbl_smooth': 0.1, 'embed_dim': 400, 'ent_vec_dim': 400, 'rel_vec_dim': 400, 'bias': False, 'form': 'plain', 'k_w': 10, 'k_h': 20, 'num_filt': 96, 'ker_sz': 9, 'perm': 1, 'hid_drop': 0.5, 'feat_drop': 0.2, 'inp_drop': 0.2, 'drop_path': 0.0, 'drop': 0.0, 'in_channels': 1, 'out_channels': 32, 'filt_h': 1, 'filt_w': 9, 'image_h': 128, 'image_w': 128, 'patch_size': 8, 'mixer_dim': 256, 'expansion_factor': 4, 'expansion_factor_token': 0.5, 'mixer_depth': 16, 'mixer_dropout': 0.2, 'log_dir': './log/', 'config_dir': './config/', 'test_only': False, 'grid_search': False}
|
||||
{'batch_size': 128,
|
||||
'bias': False,
|
||||
'config_dir': './config/',
|
||||
'dataset': 'wikidata12k',
|
||||
'drop': 0.0,
|
||||
'drop_path': 0.0,
|
||||
'embed_dim': 400,
|
||||
'ent_vec_dim': 400,
|
||||
'expansion_factor': 4,
|
||||
'expansion_factor_token': 0.5,
|
||||
'feat_drop': 0.2,
|
||||
'filt_h': 1,
|
||||
'filt_w': 9,
|
||||
'form': 'plain',
|
||||
'gpu': '3',
|
||||
'grid_search': False,
|
||||
'hid_drop': 0.5,
|
||||
'image_h': 128,
|
||||
'image_w': 128,
|
||||
'in_channels': 1,
|
||||
'inp_drop': 0.2,
|
||||
'k_h': 20,
|
||||
'k_w': 10,
|
||||
'ker_sz': 9,
|
||||
'l2': 0.0,
|
||||
'lbl_smooth': 0.1,
|
||||
'log_dir': './log/',
|
||||
'lr': 0.0001,
|
||||
'max_epochs': 500,
|
||||
'mixer_depth': 16,
|
||||
'mixer_dim': 256,
|
||||
'mixer_dropout': 0.2,
|
||||
'name': 'wikidata12k_at',
|
||||
'neg_num': 1000,
|
||||
'num_filt': 96,
|
||||
'num_workers': 0,
|
||||
'opt': 'adam',
|
||||
'out_channels': 32,
|
||||
'patch_size': 8,
|
||||
'perm': 1,
|
||||
'rel_vec_dim': 400,
|
||||
'restore': False,
|
||||
'seed': 42,
|
||||
'test_only': False,
|
||||
'train_strategy': 'one_to_n'}
|
||||
Traceback (most recent call last):
|
||||
File "main.py", line 693, in <module>
|
||||
model.fit()
|
||||
File "main.py", line 492, in fit
|
||||
train_loss = self.run_epoch(epoch)
|
||||
File "main.py", line 458, in run_epoch
|
||||
pred = self.model.forward(sub, rel, neg_ent, self.p.train_strategy)
|
||||
File "/root/kg_374/Thesis_split/models.py", line 558, in forward
|
||||
z = self.forward_tokens(z)
|
||||
File "/root/kg_374/Thesis_split/models.py", line 547, in forward_tokens
|
||||
x = block(x)
|
||||
File "/opt/conda/envs/kgs2s/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
|
||||
return forward_call(*input, **kwargs)
|
||||
File "/opt/conda/envs/kgs2s/lib/python3.8/site-packages/torch/nn/modules/container.py", line 139, in forward
|
||||
input = module(input)
|
||||
File "/opt/conda/envs/kgs2s/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
|
||||
return forward_call(*input, **kwargs)
|
||||
File "/root/kg_374/Thesis_split/models.py", line 757, in forward
|
||||
* self.mlp(self.norm2(x)))
|
||||
File "/opt/conda/envs/kgs2s/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
|
||||
return forward_call(*input, **kwargs)
|
||||
File "/root/kg_374/Thesis_split/models.py", line 821, in forward
|
||||
x = self.act(x)
|
||||
File "/opt/conda/envs/kgs2s/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
|
||||
return forward_call(*input, **kwargs)
|
||||
File "/opt/conda/envs/kgs2s/lib/python3.8/site-packages/torch/nn/modules/activation.py", line 681, in forward
|
||||
return F.gelu(input, approximate=self.approximate)
|
||||
RuntimeError: CUDA out of memory. Tried to allocate 800.00 MiB (GPU 0; 31.72 GiB total capacity; 10.92 GiB already allocated; 669.94 MiB free; 10.98 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
|
||||
9207
yago11k.out
Normal file
9207
yago11k.out
Normal file
File diff suppressed because it is too large
Load Diff
Loading…
Reference in New Issue
Block a user