Datasets:
File size: 12,815 Bytes
ab8bb3d 9a84cbe e5159d3 9a84cbe e5159d3 9a84cbe e4ed58f 9a84cbe b136c02 f7030ac 2ebd3fd ab8bb3d e4ed58f 4330626 ab8bb3d f039808 2431be5 f039808 e4ed58f f039808 e4ed58f 4330626 f039808 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 |
---
license: cc-by-sa-4.0
language:
- en
configs:
- config_name: xxz_300_z.seed03.gt_fim
data_files:
- split: test
path: xxz_300_z/seed_03/gt_fim.parquet
- config_name: xxz_300_z.seed04.gt_fim
data_files:
- split: test
path: xxz_300_z/seed_04/gt_fim.parquet
- config_name: xxz_300_z.seed05
data_files:
- split: train
path: xxz_300_z/seed_05/d_train.parquet
- split: test
path: xxz_300_z/seed_05/d_test.parquet
- config_name: xxz_300_z.seed06
data_files:
- split: train
path: xxz_300_z/seed_06/d_train.parquet
- split: test
path: xxz_300_z/seed_06/d_test.parquet
- config_name: xxz_300_z.seed07
data_files:
- split: train
path: xxz_300_z/seed_07/d_train.parquet
- split: test
path: xxz_300_z/seed_07/d_test.parquet
- config_name: xxz_300_z.seed08
data_files:
- split: train
path: xxz_300_z/seed_08/d_train.parquet
- split: test
path: xxz_300_z/seed_08/d_test.parquet
- config_name: xxz_300_z.seed09
data_files:
- split: train
path: xxz_300_z/seed_09/d_train.parquet
- split: test
path: xxz_300_z/seed_09/d_test.parquet
- config_name: xxz_300_z.seed10
data_files:
- split: train
path: xxz_300_z/seed_10/d_train.parquet
- split: test
path: xxz_300_z/seed_10/d_test.parquet
- config_name: xxz_300_z.seed11
data_files:
- split: train
path: xxz_300_z/seed_11/d_train.parquet
- split: test
path: xxz_300_z/seed_11/d_test.parquet
- config_name: xxz_300_z.seed12
data_files:
- split: train
path: xxz_300_z/seed_12/d_train.parquet
- split: test
path: xxz_300_z/seed_12/d_test.parquet
- config_name: xxz_300_z.seed13
data_files:
- split: train
path: xxz_300_z/seed_13/d_train.parquet
- split: test
path: xxz_300_z/seed_13/d_test.parquet
- config_name: xxz_300_z.seed14
data_files:
- split: train
path: xxz_300_z/seed_14/d_train.parquet
- split: test
path: xxz_300_z/seed_14/d_test.parquet
- config_name: xxz_300_z.seed15
data_files:
- split: train
path: xxz_300_z/seed_15/d_train.parquet
- split: test
path: xxz_300_z/seed_15/d_test.parquet
- config_name: isnnn_400.seed01
data_files:
- split: train
path: isnnn_400/seed_01/d_train.parquet
- split: test
path: isnnn_400/seed_01/d_test.parquet
description: >-
Samples for IsNNN400 statistical manifold generated with seed=1.
`sample` column is formatted as bytearray of length 50 bytes (400 bits)
and represents a spin configuration of 20x20 lattice
with bit 0 corresponding to Z=+1 and bit 1 corresponding to Z=-1.
- config_name: isnnn_400.seed01.gt_fim
data_files:
- split: test
path: isnnn_400/seed_01/gt_fim.parquet
- config_name: isnnn_400.seed02
data_files:
- split: train
path: isnnn_400/seed_02/d_train.parquet
- split: test
path: isnnn_400/seed_02/d_test.parquet
- config_name: isnnn_400.seed02.gt_fim
data_files:
- split: test
path: isnnn_400/seed_02/gt_fim.parquet
- config_name: isnnn_400.seed03
data_files:
- split: train
path: isnnn_400/seed_03/d_train.parquet
- split: test
path: isnnn_400/seed_03/d_test.parquet
- config_name: isnnn_400.seed03.gt_fim
data_files:
- split: test
path: isnnn_400/seed_03/gt_fim.parquet
- config_name: isnnn_400.seed04
data_files:
- split: train
path: isnnn_400/seed_04/d_train.parquet
- split: test
path: isnnn_400/seed_04/d_test.parquet
- config_name: isnnn_400.seed04.gt_fim
data_files:
- split: test
path: isnnn_400/seed_04/gt_fim.parquet
- config_name: isnnn_400.seed05
data_files:
- split: train
path: isnnn_400/seed_05/d_train.parquet
- split: test
path: isnnn_400/seed_05/d_test.parquet
- config_name: isnnn_400.seed05.gt_fim
data_files:
- split: test
path: isnnn_400/seed_05/gt_fim.parquet
- config_name: isnnn_400.seed06
data_files:
- split: train
path: isnnn_400/seed_06/d_train.parquet
- split: test
path: isnnn_400/seed_06/d_test.parquet
- config_name: isnnn_400.seed06.gt_fim
data_files:
- split: test
path: isnnn_400/seed_06/gt_fim.parquet
- config_name: isnnn_400.seed07
data_files:
- split: train
path: isnnn_400/seed_07/d_train.parquet
- split: test
path: isnnn_400/seed_07/d_test.parquet
- config_name: isnnn_400.seed07.gt_fim
data_files:
- split: test
path: isnnn_400/seed_07/gt_fim.parquet
- config_name: isnnn_400.seed08
data_files:
- split: train
path: isnnn_400/seed_08/d_train.parquet
- split: test
path: isnnn_400/seed_08/d_test.parquet
- config_name: isnnn_400.seed08.gt_fim
data_files:
- split: test
path: isnnn_400/seed_08/gt_fim.parquet
- config_name: isnnn_400.seed09
data_files:
- split: train
path: isnnn_400/seed_09/d_train.parquet
- split: test
path: isnnn_400/seed_09/d_test.parquet
- config_name: isnnn_400.seed09.gt_fim
data_files:
- split: test
path: isnnn_400/seed_09/gt_fim.parquet
- config_name: isnnn_400.seed10
data_files:
- split: train
path: isnnn_400/seed_10/d_train.parquet
- split: test
path: isnnn_400/seed_10/d_test.parquet
- config_name: isnnn_400.seed10.gt_fim
data_files:
- split: test
path: isnnn_400/seed_10/gt_fim.parquet
- config_name: hubbard_12.gt_fim
data_files:
- split: test
path: hubbard_12/gt_fim.parquet
- config_name: hubbard_12.seed42
data_files:
- split: train
path: hubbard_12/seed_42/d_train.parquet
- split: test
path: hubbard_12/seed_42/d_test.parquet
- config_name: hubbard_12.seed43
data_files:
- split: train
path: hubbard_12/seed_43/d_train.parquet
- split: test
path: hubbard_12/seed_43/d_test.parquet
- config_name: hubbard_12.seed44
data_files:
- split: train
path: hubbard_12/seed_44/d_train.parquet
- split: test
path: hubbard_12/seed_44/d_test.parquet
- config_name: hubbard_12.seed45
data_files:
- split: train
path: hubbard_12/seed_45/d_train.parquet
- split: test
path: hubbard_12/seed_45/d_test.parquet
- config_name: hubbard_12.seed46
data_files:
- split: train
path: hubbard_12/seed_46/d_train.parquet
- split: test
path: hubbard_12/seed_46/d_test.parquet
- config_name: hubbard_12.seed47
data_files:
- split: train
path: hubbard_12/seed_47/d_train.parquet
- split: test
path: hubbard_12/seed_47/d_test.parquet
- config_name: hubbard_12.seed48
data_files:
- split: train
path: hubbard_12/seed_48/d_train.parquet
- split: test
path: hubbard_12/seed_48/d_test.parquet
- config_name: hubbard_12.seed49
data_files:
- split: train
path: hubbard_12/seed_49/d_train.parquet
- split: test
path: hubbard_12/seed_49/d_test.parquet
- config_name: hubbard_12.seed50
data_files:
- split: train
path: hubbard_12/seed_50/d_train.parquet
- split: test
path: hubbard_12/seed_50/d_test.parquet
- config_name: hubbard_12.seed51
data_files:
- split: train
path: hubbard_12/seed_51/d_train.parquet
- split: test
path: hubbard_12/seed_51/d_test.parquet
- config_name: fil_24.gt_fim
data_files:
- split: test
path: fil_24/gt_fim.parquet
- config_name: fil_24.seed41
data_files:
- split: train
path: fil_24/seed_41/d_train.parquet
- split: test
path: fil_24/seed_41/d_test.parquet
- config_name: fil_24.seed42
data_files:
- split: train
path: fil_24/seed_42/d_train.parquet
- split: test
path: fil_24/seed_42/d_test.parquet
- config_name: fil_24.seed43
data_files:
- split: train
path: fil_24/seed_43/d_train.parquet
- split: test
path: fil_24/seed_43/d_test.parquet
- config_name: fil_24.seed44
data_files:
- split: train
path: fil_24/seed_44/d_train.parquet
- split: test
path: fil_24/seed_44/d_test.parquet
- config_name: fil_24.seed45
data_files:
- split: train
path: fil_24/seed_45/d_train.parquet
- split: test
path: fil_24/seed_45/d_test.parquet
- config_name: fil_24.seed46
data_files:
- split: train
path: fil_24/seed_46/d_train.parquet
- split: test
path: fil_24/seed_46/d_test.parquet
- config_name: fil_24.seed47
data_files:
- split: train
path: fil_24/seed_47/d_train.parquet
- split: test
path: fil_24/seed_47/d_test.parquet
- config_name: fil_24.seed48
data_files:
- split: train
path: fil_24/seed_48/d_train.parquet
- split: test
path: fil_24/seed_48/d_test.parquet
- config_name: fil_24.seed49
data_files:
- split: train
path: fil_24/seed_49/d_train.parquet
- split: test
path: fil_24/seed_49/d_test.parquet
- config_name: fil_24.seed50
data_files:
- split: train
path: fil_24/seed_50/d_train.parquet
- split: test
path: fil_24/seed_50/d_test.parquet
- config_name: fil_24.seed51
data_files:
- split: train
path: fil_24/seed_51/d_train.parquet
- split: test
path: fil_24/seed_51/d_test.parquet
- config_name: kitaev_20.gt_fim
data_files:
- split: test
path: kitaev_20/gt_fim.parquet
- config_name: kitaev_20.seed00
data_files:
- split: train
path: kitaev_20/seed_00/d_train.parquet
- split: test
path: kitaev_20/seed_00/d_test.parquet
- config_name: kitaev_20.seed01
data_files:
- split: train
path: kitaev_20/seed_01/d_train.parquet
- split: test
path: kitaev_20/seed_01/d_test.parquet
- config_name: kitaev_20.seed02
data_files:
- split: train
path: kitaev_20/seed_02/d_train.parquet
- split: test
path: kitaev_20/seed_02/d_test.parquet
- config_name: kitaev_20.seed03
data_files:
- split: train
path: kitaev_20/seed_03/d_train.parquet
- split: test
path: kitaev_20/seed_03/d_test.parquet
- config_name: kitaev_20.seed04
data_files:
- split: train
path: kitaev_20/seed_04/d_train.parquet
- split: test
path: kitaev_20/seed_04/d_test.parquet
- config_name: kitaev_20.seed05
data_files:
- split: train
path: kitaev_20/seed_05/d_train.parquet
- split: test
path: kitaev_20/seed_05/d_test.parquet
- config_name: kitaev_20.seed06
data_files:
- split: train
path: kitaev_20/seed_06/d_train.parquet
- split: test
path: kitaev_20/seed_06/d_test.parquet
- config_name: kitaev_20.seed07
data_files:
- split: train
path: kitaev_20/seed_07/d_train.parquet
- split: test
path: kitaev_20/seed_07/d_test.parquet
- config_name: kitaev_20.seed08
data_files:
- split: train
path: kitaev_20/seed_08/d_train.parquet
- split: test
path: kitaev_20/seed_08/d_test.parquet
- config_name: kitaev_20.seed09
data_files:
- split: train
path: kitaev_20/seed_09/d_train.parquet
- split: test
path: kitaev_20/seed_09/d_test.parquet
---
# Dataset Card for FIM-Estimation
## Dataset Description
### Dataset Summary
In a FIM-Estimation task, the input consists of the following components:
1. A dataset of the form $\mathcal{D}_ {train} = \{(\mathbf{\lambda}_ i, x_ i)\}_ {i=1}^{\left|\mathcal{D}\right|}$, where $\vlambda_ i$ is a point in the parameter space and $x_ i$ is a sample.
2. The structure of each sample $x_ i$. For example, if $x_ i\in\{0,1\}^n$ is a bitstring representing a measurement of a quantum system on a lattice with $n$ sites, then the said structure is the lattice and the correspondence between the bitstring bits and the lattice sites.
3. Optionally, additional information about the statistical manifold. This could involve, e.g., the symmetries of the system used to generate the statistical manifold.
The task is to estimate Fisher Information Metric (FIM) as a matrix-valued function of parameter $\mathbf{\lambda}$.
In this dataset we present multiple such tasks (parameterised by task name and random seed). E.g. in order to solve the IsNNN400 task with seed=4 one would download config `isnnn_400.seed04`, split `train`, estimate the FIM, and compare the results with `isnnn_400.seed04.gt_fim`.
### Additional information
We (TODO:plan to) present datasets corresponding to 6 statistical manifolds: `XXZ300_Z`, `FIL24`, etc.
The data is stored as follows:
`data/xxz300_z` contains the data for `XXZ300_Z` datasets. Within that directory, there are subdirectories of the form `seed_??` each containing a dataset describing the same statistical manifold, but generated using a different seed (e.g. `seed_05`). We have `seed_05/d_train.parquet`, which is the dataset as described in #1 above. `seed_05/d_test.parquet` is a hold-out dataset which should not be used in estimation of $\mathbf{\lambda}$ (not even for hyperparameter tuning).
`data/xxz300_z/meta.json` (TODO) represents the metadata (including information listed in #2 and #3 above)
`data/xxz300_z/fim_ground_truth.json` (TODO) represents the ground truth FIM.
An algorithm attempting to solve the FIM-Estimation task `XXZ300_Z(seed=05)` shall take `data/xxz300_z/seed_05/d_train.parquet` and `data/xxz300_z/meta.json` as inputs and produce FIM estimates to be compared with `data/xxz300_z/fim_ground_truth.json`.
|