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@@ -284,4 +284,2452 @@ configs:
284
  data_files:
285
  - split: full
286
  path: "group_by_user/rating_only_grouped_by_user.jsonl"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
287
  ---
 
284
  data_files:
285
  - split: full
286
  path: "group_by_user/rating_only_grouped_by_user.jsonl"
287
+ - config_name: 0core_rating_only_All_Beauty
288
+ data_files:
289
+ - split: full
290
+ path: "benchmark/0core/rating_only/All_Beauty.csv"
291
+ - config_name: 0core_rating_only_Toys_and_Games
292
+ data_files:
293
+ - split: full
294
+ path: "benchmark/0core/rating_only/Toys_and_Games.csv"
295
+ - config_name: 0core_rating_only_Cell_Phones_and_Accessories
296
+ data_files:
297
+ - split: full
298
+ path: "benchmark/0core/rating_only/Cell_Phones_and_Accessories.csv"
299
+ - config_name: 0core_rating_only_Industrial_and_Scientific
300
+ data_files:
301
+ - split: full
302
+ path: "benchmark/0core/rating_only/Industrial_and_Scientific.csv"
303
+ - config_name: 0core_rating_only_Gift_Cards
304
+ data_files:
305
+ - split: full
306
+ path: "benchmark/0core/rating_only/Gift_Cards.csv"
307
+ - config_name: 0core_rating_only_Musical_Instruments
308
+ data_files:
309
+ - split: full
310
+ path: "benchmark/0core/rating_only/Musical_Instruments.csv"
311
+ - config_name: 0core_rating_only_Electronics
312
+ data_files:
313
+ - split: full
314
+ path: "benchmark/0core/rating_only/Electronics.csv"
315
+ - config_name: 0core_rating_only_Handmade_Products
316
+ data_files:
317
+ - split: full
318
+ path: "benchmark/0core/rating_only/Handmade_Products.csv"
319
+ - config_name: 0core_rating_only_Arts_Crafts_and_Sewing
320
+ data_files:
321
+ - split: full
322
+ path: "benchmark/0core/rating_only/Arts_Crafts_and_Sewing.csv"
323
+ - config_name: 0core_rating_only_Baby_Products
324
+ data_files:
325
+ - split: full
326
+ path: "benchmark/0core/rating_only/Baby_Products.csv"
327
+ - config_name: 0core_rating_only_Health_and_Household
328
+ data_files:
329
+ - split: full
330
+ path: "benchmark/0core/rating_only/Health_and_Household.csv"
331
+ - config_name: 0core_rating_only_Office_Products
332
+ data_files:
333
+ - split: full
334
+ path: "benchmark/0core/rating_only/Office_Products.csv"
335
+ - config_name: 0core_rating_only_Digital_Music
336
+ data_files:
337
+ - split: full
338
+ path: "benchmark/0core/rating_only/Digital_Music.csv"
339
+ - config_name: 0core_rating_only_Grocery_and_Gourmet_Food
340
+ data_files:
341
+ - split: full
342
+ path: "benchmark/0core/rating_only/Grocery_and_Gourmet_Food.csv"
343
+ - config_name: 0core_rating_only_Sports_and_Outdoors
344
+ data_files:
345
+ - split: full
346
+ path: "benchmark/0core/rating_only/Sports_and_Outdoors.csv"
347
+ - config_name: 0core_rating_only_Home_and_Kitchen
348
+ data_files:
349
+ - split: full
350
+ path: "benchmark/0core/rating_only/Home_and_Kitchen.csv"
351
+ - config_name: 0core_rating_only_Subscription_Boxes
352
+ data_files:
353
+ - split: full
354
+ path: "benchmark/0core/rating_only/Subscription_Boxes.csv"
355
+ - config_name: 0core_rating_only_Tools_and_Home_Improvement
356
+ data_files:
357
+ - split: full
358
+ path: "benchmark/0core/rating_only/Tools_and_Home_Improvement.csv"
359
+ - config_name: 0core_rating_only_Pet_Supplies
360
+ data_files:
361
+ - split: full
362
+ path: "benchmark/0core/rating_only/Pet_Supplies.csv"
363
+ - config_name: 0core_rating_only_Video_Games
364
+ data_files:
365
+ - split: full
366
+ path: "benchmark/0core/rating_only/Video_Games.csv"
367
+ - config_name: 0core_rating_only_Kindle_Store
368
+ data_files:
369
+ - split: full
370
+ path: "benchmark/0core/rating_only/Kindle_Store.csv"
371
+ - config_name: 0core_rating_only_Clothing_Shoes_and_Jewelry
372
+ data_files:
373
+ - split: full
374
+ path: "benchmark/0core/rating_only/Clothing_Shoes_and_Jewelry.csv"
375
+ - config_name: 0core_rating_only_Patio_Lawn_and_Garden
376
+ data_files:
377
+ - split: full
378
+ path: "benchmark/0core/rating_only/Patio_Lawn_and_Garden.csv"
379
+ - config_name: 0core_rating_only_Unknown
380
+ data_files:
381
+ - split: full
382
+ path: "benchmark/0core/rating_only/Unknown.csv"
383
+ - config_name: 0core_rating_only_Books
384
+ data_files:
385
+ - split: full
386
+ path: "benchmark/0core/rating_only/Books.csv"
387
+ - config_name: 0core_rating_only_Automotive
388
+ data_files:
389
+ - split: full
390
+ path: "benchmark/0core/rating_only/Automotive.csv"
391
+ - config_name: 0core_rating_only_CDs_and_Vinyl
392
+ data_files:
393
+ - split: full
394
+ path: "benchmark/0core/rating_only/CDs_and_Vinyl.csv"
395
+ - config_name: 0core_rating_only_Beauty_and_Personal_Care
396
+ data_files:
397
+ - split: full
398
+ path: "benchmark/0core/rating_only/Beauty_and_Personal_Care.csv"
399
+ - config_name: 0core_rating_only_Amazon_Fashion
400
+ data_files:
401
+ - split: full
402
+ path: "benchmark/0core/rating_only/Amazon_Fashion.csv"
403
+ - config_name: 0core_rating_only_Magazine_Subscriptions
404
+ data_files:
405
+ - split: full
406
+ path: "benchmark/0core/rating_only/Magazine_Subscriptions.csv"
407
+ - config_name: 0core_rating_only_Software
408
+ data_files:
409
+ - split: full
410
+ path: "benchmark/0core/rating_only/Software.csv"
411
+ - config_name: 0core_rating_only_Health_and_Personal_Care
412
+ data_files:
413
+ - split: full
414
+ path: "benchmark/0core/rating_only/Health_and_Personal_Care.csv"
415
+ - config_name: 0core_rating_only_Appliances
416
+ data_files:
417
+ - split: full
418
+ path: "benchmark/0core/rating_only/Appliances.csv"
419
+ - config_name: 0core_rating_only_Movies_and_TV
420
+ data_files:
421
+ - split: full
422
+ path: "benchmark/0core/rating_only/Movies_and_TV.csv"
423
+ - config_name: 5core_rating_only_All_Beauty
424
+ data_files:
425
+ - split: full
426
+ path: "benchmark/5core/rating_only/All_Beauty.csv"
427
+ - config_name: 5core_rating_only_Toys_and_Games
428
+ data_files:
429
+ - split: full
430
+ path: "benchmark/5core/rating_only/Toys_and_Games.csv"
431
+ - config_name: 5core_rating_only_Cell_Phones_and_Accessories
432
+ data_files:
433
+ - split: full
434
+ path: "benchmark/5core/rating_only/Cell_Phones_and_Accessories.csv"
435
+ - config_name: 5core_rating_only_Industrial_and_Scientific
436
+ data_files:
437
+ - split: full
438
+ path: "benchmark/5core/rating_only/Industrial_and_Scientific.csv"
439
+ - config_name: 5core_rating_only_Gift_Cards
440
+ data_files:
441
+ - split: full
442
+ path: "benchmark/5core/rating_only/Gift_Cards.csv"
443
+ - config_name: 5core_rating_only_Musical_Instruments
444
+ data_files:
445
+ - split: full
446
+ path: "benchmark/5core/rating_only/Musical_Instruments.csv"
447
+ - config_name: 5core_rating_only_Electronics
448
+ data_files:
449
+ - split: full
450
+ path: "benchmark/5core/rating_only/Electronics.csv"
451
+ - config_name: 5core_rating_only_Handmade_Products
452
+ data_files:
453
+ - split: full
454
+ path: "benchmark/5core/rating_only/Handmade_Products.csv"
455
+ - config_name: 5core_rating_only_Arts_Crafts_and_Sewing
456
+ data_files:
457
+ - split: full
458
+ path: "benchmark/5core/rating_only/Arts_Crafts_and_Sewing.csv"
459
+ - config_name: 5core_rating_only_Baby_Products
460
+ data_files:
461
+ - split: full
462
+ path: "benchmark/5core/rating_only/Baby_Products.csv"
463
+ - config_name: 5core_rating_only_Health_and_Household
464
+ data_files:
465
+ - split: full
466
+ path: "benchmark/5core/rating_only/Health_and_Household.csv"
467
+ - config_name: 5core_rating_only_Office_Products
468
+ data_files:
469
+ - split: full
470
+ path: "benchmark/5core/rating_only/Office_Products.csv"
471
+ - config_name: 5core_rating_only_Digital_Music
472
+ data_files:
473
+ - split: full
474
+ path: "benchmark/5core/rating_only/Digital_Music.csv"
475
+ - config_name: 5core_rating_only_Grocery_and_Gourmet_Food
476
+ data_files:
477
+ - split: full
478
+ path: "benchmark/5core/rating_only/Grocery_and_Gourmet_Food.csv"
479
+ - config_name: 5core_rating_only_Sports_and_Outdoors
480
+ data_files:
481
+ - split: full
482
+ path: "benchmark/5core/rating_only/Sports_and_Outdoors.csv"
483
+ - config_name: 5core_rating_only_Home_and_Kitchen
484
+ data_files:
485
+ - split: full
486
+ path: "benchmark/5core/rating_only/Home_and_Kitchen.csv"
487
+ - config_name: 5core_rating_only_Subscription_Boxes
488
+ data_files:
489
+ - split: full
490
+ path: "benchmark/5core/rating_only/Subscription_Boxes.csv"
491
+ - config_name: 5core_rating_only_Tools_and_Home_Improvement
492
+ data_files:
493
+ - split: full
494
+ path: "benchmark/5core/rating_only/Tools_and_Home_Improvement.csv"
495
+ - config_name: 5core_rating_only_Pet_Supplies
496
+ data_files:
497
+ - split: full
498
+ path: "benchmark/5core/rating_only/Pet_Supplies.csv"
499
+ - config_name: 5core_rating_only_Video_Games
500
+ data_files:
501
+ - split: full
502
+ path: "benchmark/5core/rating_only/Video_Games.csv"
503
+ - config_name: 5core_rating_only_Kindle_Store
504
+ data_files:
505
+ - split: full
506
+ path: "benchmark/5core/rating_only/Kindle_Store.csv"
507
+ - config_name: 5core_rating_only_Clothing_Shoes_and_Jewelry
508
+ data_files:
509
+ - split: full
510
+ path: "benchmark/5core/rating_only/Clothing_Shoes_and_Jewelry.csv"
511
+ - config_name: 5core_rating_only_Patio_Lawn_and_Garden
512
+ data_files:
513
+ - split: full
514
+ path: "benchmark/5core/rating_only/Patio_Lawn_and_Garden.csv"
515
+ - config_name: 5core_rating_only_Unknown
516
+ data_files:
517
+ - split: full
518
+ path: "benchmark/5core/rating_only/Unknown.csv"
519
+ - config_name: 5core_rating_only_Books
520
+ data_files:
521
+ - split: full
522
+ path: "benchmark/5core/rating_only/Books.csv"
523
+ - config_name: 5core_rating_only_Automotive
524
+ data_files:
525
+ - split: full
526
+ path: "benchmark/5core/rating_only/Automotive.csv"
527
+ - config_name: 5core_rating_only_CDs_and_Vinyl
528
+ data_files:
529
+ - split: full
530
+ path: "benchmark/5core/rating_only/CDs_and_Vinyl.csv"
531
+ - config_name: 5core_rating_only_Beauty_and_Personal_Care
532
+ data_files:
533
+ - split: full
534
+ path: "benchmark/5core/rating_only/Beauty_and_Personal_Care.csv"
535
+ - config_name: 5core_rating_only_Amazon_Fashion
536
+ data_files:
537
+ - split: full
538
+ path: "benchmark/5core/rating_only/Amazon_Fashion.csv"
539
+ - config_name: 5core_rating_only_Magazine_Subscriptions
540
+ data_files:
541
+ - split: full
542
+ path: "benchmark/5core/rating_only/Magazine_Subscriptions.csv"
543
+ - config_name: 5core_rating_only_Software
544
+ data_files:
545
+ - split: full
546
+ path: "benchmark/5core/rating_only/Software.csv"
547
+ - config_name: 5core_rating_only_Health_and_Personal_Care
548
+ data_files:
549
+ - split: full
550
+ path: "benchmark/5core/rating_only/Health_and_Personal_Care.csv"
551
+ - config_name: 5core_rating_only_Appliances
552
+ data_files:
553
+ - split: full
554
+ path: "benchmark/5core/rating_only/Appliances.csv"
555
+ - config_name: 5core_rating_only_Movies_and_TV
556
+ data_files:
557
+ - split: full
558
+ path: "benchmark/5core/rating_only/Movies_and_TV.csv"
559
+ - config_name: 0core_last_out_All_Beauty
560
+ data_files:
561
+ - split: train
562
+ path: "benchmark/0core/last_out/All_Beauty.train.csv"
563
+ - split: validation
564
+ path: "benchmark/0core/last_out/All_Beauty.valid.csv"
565
+ - split: test
566
+ path: "benchmark/0core/last_out/All_Beauty.test.csv"
567
+ - config_name: 0core_last_out_Toys_and_Games
568
+ data_files:
569
+ - split: train
570
+ path: "benchmark/0core/last_out/Toys_and_Games.train.csv"
571
+ - split: validation
572
+ path: "benchmark/0core/last_out/Toys_and_Games.valid.csv"
573
+ - split: test
574
+ path: "benchmark/0core/last_out/Toys_and_Games.test.csv"
575
+ - config_name: 0core_last_out_Cell_Phones_and_Accessories
576
+ data_files:
577
+ - split: train
578
+ path: "benchmark/0core/last_out/Cell_Phones_and_Accessories.train.csv"
579
+ - split: validation
580
+ path: "benchmark/0core/last_out/Cell_Phones_and_Accessories.valid.csv"
581
+ - split: test
582
+ path: "benchmark/0core/last_out/Cell_Phones_and_Accessories.test.csv"
583
+ - config_name: 0core_last_out_Industrial_and_Scientific
584
+ data_files:
585
+ - split: train
586
+ path: "benchmark/0core/last_out/Industrial_and_Scientific.train.csv"
587
+ - split: validation
588
+ path: "benchmark/0core/last_out/Industrial_and_Scientific.valid.csv"
589
+ - split: test
590
+ path: "benchmark/0core/last_out/Industrial_and_Scientific.test.csv"
591
+ - config_name: 0core_last_out_Gift_Cards
592
+ data_files:
593
+ - split: train
594
+ path: "benchmark/0core/last_out/Gift_Cards.train.csv"
595
+ - split: validation
596
+ path: "benchmark/0core/last_out/Gift_Cards.valid.csv"
597
+ - split: test
598
+ path: "benchmark/0core/last_out/Gift_Cards.test.csv"
599
+ - config_name: 0core_last_out_Musical_Instruments
600
+ data_files:
601
+ - split: train
602
+ path: "benchmark/0core/last_out/Musical_Instruments.train.csv"
603
+ - split: validation
604
+ path: "benchmark/0core/last_out/Musical_Instruments.valid.csv"
605
+ - split: test
606
+ path: "benchmark/0core/last_out/Musical_Instruments.test.csv"
607
+ - config_name: 0core_last_out_Electronics
608
+ data_files:
609
+ - split: train
610
+ path: "benchmark/0core/last_out/Electronics.train.csv"
611
+ - split: validation
612
+ path: "benchmark/0core/last_out/Electronics.valid.csv"
613
+ - split: test
614
+ path: "benchmark/0core/last_out/Electronics.test.csv"
615
+ - config_name: 0core_last_out_Handmade_Products
616
+ data_files:
617
+ - split: train
618
+ path: "benchmark/0core/last_out/Handmade_Products.train.csv"
619
+ - split: validation
620
+ path: "benchmark/0core/last_out/Handmade_Products.valid.csv"
621
+ - split: test
622
+ path: "benchmark/0core/last_out/Handmade_Products.test.csv"
623
+ - config_name: 0core_last_out_Arts_Crafts_and_Sewing
624
+ data_files:
625
+ - split: train
626
+ path: "benchmark/0core/last_out/Arts_Crafts_and_Sewing.train.csv"
627
+ - split: validation
628
+ path: "benchmark/0core/last_out/Arts_Crafts_and_Sewing.valid.csv"
629
+ - split: test
630
+ path: "benchmark/0core/last_out/Arts_Crafts_and_Sewing.test.csv"
631
+ - config_name: 0core_last_out_Baby_Products
632
+ data_files:
633
+ - split: train
634
+ path: "benchmark/0core/last_out/Baby_Products.train.csv"
635
+ - split: validation
636
+ path: "benchmark/0core/last_out/Baby_Products.valid.csv"
637
+ - split: test
638
+ path: "benchmark/0core/last_out/Baby_Products.test.csv"
639
+ - config_name: 0core_last_out_Health_and_Household
640
+ data_files:
641
+ - split: train
642
+ path: "benchmark/0core/last_out/Health_and_Household.train.csv"
643
+ - split: validation
644
+ path: "benchmark/0core/last_out/Health_and_Household.valid.csv"
645
+ - split: test
646
+ path: "benchmark/0core/last_out/Health_and_Household.test.csv"
647
+ - config_name: 0core_last_out_Office_Products
648
+ data_files:
649
+ - split: train
650
+ path: "benchmark/0core/last_out/Office_Products.train.csv"
651
+ - split: validation
652
+ path: "benchmark/0core/last_out/Office_Products.valid.csv"
653
+ - split: test
654
+ path: "benchmark/0core/last_out/Office_Products.test.csv"
655
+ - config_name: 0core_last_out_Digital_Music
656
+ data_files:
657
+ - split: train
658
+ path: "benchmark/0core/last_out/Digital_Music.train.csv"
659
+ - split: validation
660
+ path: "benchmark/0core/last_out/Digital_Music.valid.csv"
661
+ - split: test
662
+ path: "benchmark/0core/last_out/Digital_Music.test.csv"
663
+ - config_name: 0core_last_out_Grocery_and_Gourmet_Food
664
+ data_files:
665
+ - split: train
666
+ path: "benchmark/0core/last_out/Grocery_and_Gourmet_Food.train.csv"
667
+ - split: validation
668
+ path: "benchmark/0core/last_out/Grocery_and_Gourmet_Food.valid.csv"
669
+ - split: test
670
+ path: "benchmark/0core/last_out/Grocery_and_Gourmet_Food.test.csv"
671
+ - config_name: 0core_last_out_Sports_and_Outdoors
672
+ data_files:
673
+ - split: train
674
+ path: "benchmark/0core/last_out/Sports_and_Outdoors.train.csv"
675
+ - split: validation
676
+ path: "benchmark/0core/last_out/Sports_and_Outdoors.valid.csv"
677
+ - split: test
678
+ path: "benchmark/0core/last_out/Sports_and_Outdoors.test.csv"
679
+ - config_name: 0core_last_out_Home_and_Kitchen
680
+ data_files:
681
+ - split: train
682
+ path: "benchmark/0core/last_out/Home_and_Kitchen.train.csv"
683
+ - split: validation
684
+ path: "benchmark/0core/last_out/Home_and_Kitchen.valid.csv"
685
+ - split: test
686
+ path: "benchmark/0core/last_out/Home_and_Kitchen.test.csv"
687
+ - config_name: 0core_last_out_Subscription_Boxes
688
+ data_files:
689
+ - split: train
690
+ path: "benchmark/0core/last_out/Subscription_Boxes.train.csv"
691
+ - split: validation
692
+ path: "benchmark/0core/last_out/Subscription_Boxes.valid.csv"
693
+ - split: test
694
+ path: "benchmark/0core/last_out/Subscription_Boxes.test.csv"
695
+ - config_name: 0core_last_out_Tools_and_Home_Improvement
696
+ data_files:
697
+ - split: train
698
+ path: "benchmark/0core/last_out/Tools_and_Home_Improvement.train.csv"
699
+ - split: validation
700
+ path: "benchmark/0core/last_out/Tools_and_Home_Improvement.valid.csv"
701
+ - split: test
702
+ path: "benchmark/0core/last_out/Tools_and_Home_Improvement.test.csv"
703
+ - config_name: 0core_last_out_Pet_Supplies
704
+ data_files:
705
+ - split: train
706
+ path: "benchmark/0core/last_out/Pet_Supplies.train.csv"
707
+ - split: validation
708
+ path: "benchmark/0core/last_out/Pet_Supplies.valid.csv"
709
+ - split: test
710
+ path: "benchmark/0core/last_out/Pet_Supplies.test.csv"
711
+ - config_name: 0core_last_out_Video_Games
712
+ data_files:
713
+ - split: train
714
+ path: "benchmark/0core/last_out/Video_Games.train.csv"
715
+ - split: validation
716
+ path: "benchmark/0core/last_out/Video_Games.valid.csv"
717
+ - split: test
718
+ path: "benchmark/0core/last_out/Video_Games.test.csv"
719
+ - config_name: 0core_last_out_Kindle_Store
720
+ data_files:
721
+ - split: train
722
+ path: "benchmark/0core/last_out/Kindle_Store.train.csv"
723
+ - split: validation
724
+ path: "benchmark/0core/last_out/Kindle_Store.valid.csv"
725
+ - split: test
726
+ path: "benchmark/0core/last_out/Kindle_Store.test.csv"
727
+ - config_name: 0core_last_out_Clothing_Shoes_and_Jewelry
728
+ data_files:
729
+ - split: train
730
+ path: "benchmark/0core/last_out/Clothing_Shoes_and_Jewelry.train.csv"
731
+ - split: validation
732
+ path: "benchmark/0core/last_out/Clothing_Shoes_and_Jewelry.valid.csv"
733
+ - split: test
734
+ path: "benchmark/0core/last_out/Clothing_Shoes_and_Jewelry.test.csv"
735
+ - config_name: 0core_last_out_Patio_Lawn_and_Garden
736
+ data_files:
737
+ - split: train
738
+ path: "benchmark/0core/last_out/Patio_Lawn_and_Garden.train.csv"
739
+ - split: validation
740
+ path: "benchmark/0core/last_out/Patio_Lawn_and_Garden.valid.csv"
741
+ - split: test
742
+ path: "benchmark/0core/last_out/Patio_Lawn_and_Garden.test.csv"
743
+ - config_name: 0core_last_out_Unknown
744
+ data_files:
745
+ - split: train
746
+ path: "benchmark/0core/last_out/Unknown.train.csv"
747
+ - split: validation
748
+ path: "benchmark/0core/last_out/Unknown.valid.csv"
749
+ - split: test
750
+ path: "benchmark/0core/last_out/Unknown.test.csv"
751
+ - config_name: 0core_last_out_Books
752
+ data_files:
753
+ - split: train
754
+ path: "benchmark/0core/last_out/Books.train.csv"
755
+ - split: validation
756
+ path: "benchmark/0core/last_out/Books.valid.csv"
757
+ - split: test
758
+ path: "benchmark/0core/last_out/Books.test.csv"
759
+ - config_name: 0core_last_out_Automotive
760
+ data_files:
761
+ - split: train
762
+ path: "benchmark/0core/last_out/Automotive.train.csv"
763
+ - split: validation
764
+ path: "benchmark/0core/last_out/Automotive.valid.csv"
765
+ - split: test
766
+ path: "benchmark/0core/last_out/Automotive.test.csv"
767
+ - config_name: 0core_last_out_CDs_and_Vinyl
768
+ data_files:
769
+ - split: train
770
+ path: "benchmark/0core/last_out/CDs_and_Vinyl.train.csv"
771
+ - split: validation
772
+ path: "benchmark/0core/last_out/CDs_and_Vinyl.valid.csv"
773
+ - split: test
774
+ path: "benchmark/0core/last_out/CDs_and_Vinyl.test.csv"
775
+ - config_name: 0core_last_out_Beauty_and_Personal_Care
776
+ data_files:
777
+ - split: train
778
+ path: "benchmark/0core/last_out/Beauty_and_Personal_Care.train.csv"
779
+ - split: validation
780
+ path: "benchmark/0core/last_out/Beauty_and_Personal_Care.valid.csv"
781
+ - split: test
782
+ path: "benchmark/0core/last_out/Beauty_and_Personal_Care.test.csv"
783
+ - config_name: 0core_last_out_Amazon_Fashion
784
+ data_files:
785
+ - split: train
786
+ path: "benchmark/0core/last_out/Amazon_Fashion.train.csv"
787
+ - split: validation
788
+ path: "benchmark/0core/last_out/Amazon_Fashion.valid.csv"
789
+ - split: test
790
+ path: "benchmark/0core/last_out/Amazon_Fashion.test.csv"
791
+ - config_name: 0core_last_out_Magazine_Subscriptions
792
+ data_files:
793
+ - split: train
794
+ path: "benchmark/0core/last_out/Magazine_Subscriptions.train.csv"
795
+ - split: validation
796
+ path: "benchmark/0core/last_out/Magazine_Subscriptions.valid.csv"
797
+ - split: test
798
+ path: "benchmark/0core/last_out/Magazine_Subscriptions.test.csv"
799
+ - config_name: 0core_last_out_Software
800
+ data_files:
801
+ - split: train
802
+ path: "benchmark/0core/last_out/Software.train.csv"
803
+ - split: validation
804
+ path: "benchmark/0core/last_out/Software.valid.csv"
805
+ - split: test
806
+ path: "benchmark/0core/last_out/Software.test.csv"
807
+ - config_name: 0core_last_out_Health_and_Personal_Care
808
+ data_files:
809
+ - split: train
810
+ path: "benchmark/0core/last_out/Health_and_Personal_Care.train.csv"
811
+ - split: validation
812
+ path: "benchmark/0core/last_out/Health_and_Personal_Care.valid.csv"
813
+ - split: test
814
+ path: "benchmark/0core/last_out/Health_and_Personal_Care.test.csv"
815
+ - config_name: 0core_last_out_Appliances
816
+ data_files:
817
+ - split: train
818
+ path: "benchmark/0core/last_out/Appliances.train.csv"
819
+ - split: validation
820
+ path: "benchmark/0core/last_out/Appliances.valid.csv"
821
+ - split: test
822
+ path: "benchmark/0core/last_out/Appliances.test.csv"
823
+ - config_name: 0core_last_out_Movies_and_TV
824
+ data_files:
825
+ - split: train
826
+ path: "benchmark/0core/last_out/Movies_and_TV.train.csv"
827
+ - split: validation
828
+ path: "benchmark/0core/last_out/Movies_and_TV.valid.csv"
829
+ - split: test
830
+ path: "benchmark/0core/last_out/Movies_and_TV.test.csv"
831
+ - config_name: 0core_timestamp_All_Beauty
832
+ data_files:
833
+ - split: train
834
+ path: "benchmark/0core/timestamp/All_Beauty.train.csv"
835
+ - split: validation
836
+ path: "benchmark/0core/timestamp/All_Beauty.valid.csv"
837
+ - split: test
838
+ path: "benchmark/0core/timestamp/All_Beauty.test.csv"
839
+ - config_name: 0core_timestamp_Toys_and_Games
840
+ data_files:
841
+ - split: train
842
+ path: "benchmark/0core/timestamp/Toys_and_Games.train.csv"
843
+ - split: validation
844
+ path: "benchmark/0core/timestamp/Toys_and_Games.valid.csv"
845
+ - split: test
846
+ path: "benchmark/0core/timestamp/Toys_and_Games.test.csv"
847
+ - config_name: 0core_timestamp_Cell_Phones_and_Accessories
848
+ data_files:
849
+ - split: train
850
+ path: "benchmark/0core/timestamp/Cell_Phones_and_Accessories.train.csv"
851
+ - split: validation
852
+ path: "benchmark/0core/timestamp/Cell_Phones_and_Accessories.valid.csv"
853
+ - split: test
854
+ path: "benchmark/0core/timestamp/Cell_Phones_and_Accessories.test.csv"
855
+ - config_name: 0core_timestamp_Industrial_and_Scientific
856
+ data_files:
857
+ - split: train
858
+ path: "benchmark/0core/timestamp/Industrial_and_Scientific.train.csv"
859
+ - split: validation
860
+ path: "benchmark/0core/timestamp/Industrial_and_Scientific.valid.csv"
861
+ - split: test
862
+ path: "benchmark/0core/timestamp/Industrial_and_Scientific.test.csv"
863
+ - config_name: 0core_timestamp_Gift_Cards
864
+ data_files:
865
+ - split: train
866
+ path: "benchmark/0core/timestamp/Gift_Cards.train.csv"
867
+ - split: validation
868
+ path: "benchmark/0core/timestamp/Gift_Cards.valid.csv"
869
+ - split: test
870
+ path: "benchmark/0core/timestamp/Gift_Cards.test.csv"
871
+ - config_name: 0core_timestamp_Musical_Instruments
872
+ data_files:
873
+ - split: train
874
+ path: "benchmark/0core/timestamp/Musical_Instruments.train.csv"
875
+ - split: validation
876
+ path: "benchmark/0core/timestamp/Musical_Instruments.valid.csv"
877
+ - split: test
878
+ path: "benchmark/0core/timestamp/Musical_Instruments.test.csv"
879
+ - config_name: 0core_timestamp_Electronics
880
+ data_files:
881
+ - split: train
882
+ path: "benchmark/0core/timestamp/Electronics.train.csv"
883
+ - split: validation
884
+ path: "benchmark/0core/timestamp/Electronics.valid.csv"
885
+ - split: test
886
+ path: "benchmark/0core/timestamp/Electronics.test.csv"
887
+ - config_name: 0core_timestamp_Handmade_Products
888
+ data_files:
889
+ - split: train
890
+ path: "benchmark/0core/timestamp/Handmade_Products.train.csv"
891
+ - split: validation
892
+ path: "benchmark/0core/timestamp/Handmade_Products.valid.csv"
893
+ - split: test
894
+ path: "benchmark/0core/timestamp/Handmade_Products.test.csv"
895
+ - config_name: 0core_timestamp_Arts_Crafts_and_Sewing
896
+ data_files:
897
+ - split: train
898
+ path: "benchmark/0core/timestamp/Arts_Crafts_and_Sewing.train.csv"
899
+ - split: validation
900
+ path: "benchmark/0core/timestamp/Arts_Crafts_and_Sewing.valid.csv"
901
+ - split: test
902
+ path: "benchmark/0core/timestamp/Arts_Crafts_and_Sewing.test.csv"
903
+ - config_name: 0core_timestamp_Baby_Products
904
+ data_files:
905
+ - split: train
906
+ path: "benchmark/0core/timestamp/Baby_Products.train.csv"
907
+ - split: validation
908
+ path: "benchmark/0core/timestamp/Baby_Products.valid.csv"
909
+ - split: test
910
+ path: "benchmark/0core/timestamp/Baby_Products.test.csv"
911
+ - config_name: 0core_timestamp_Health_and_Household
912
+ data_files:
913
+ - split: train
914
+ path: "benchmark/0core/timestamp/Health_and_Household.train.csv"
915
+ - split: validation
916
+ path: "benchmark/0core/timestamp/Health_and_Household.valid.csv"
917
+ - split: test
918
+ path: "benchmark/0core/timestamp/Health_and_Household.test.csv"
919
+ - config_name: 0core_timestamp_Office_Products
920
+ data_files:
921
+ - split: train
922
+ path: "benchmark/0core/timestamp/Office_Products.train.csv"
923
+ - split: validation
924
+ path: "benchmark/0core/timestamp/Office_Products.valid.csv"
925
+ - split: test
926
+ path: "benchmark/0core/timestamp/Office_Products.test.csv"
927
+ - config_name: 0core_timestamp_Digital_Music
928
+ data_files:
929
+ - split: train
930
+ path: "benchmark/0core/timestamp/Digital_Music.train.csv"
931
+ - split: validation
932
+ path: "benchmark/0core/timestamp/Digital_Music.valid.csv"
933
+ - split: test
934
+ path: "benchmark/0core/timestamp/Digital_Music.test.csv"
935
+ - config_name: 0core_timestamp_Grocery_and_Gourmet_Food
936
+ data_files:
937
+ - split: train
938
+ path: "benchmark/0core/timestamp/Grocery_and_Gourmet_Food.train.csv"
939
+ - split: validation
940
+ path: "benchmark/0core/timestamp/Grocery_and_Gourmet_Food.valid.csv"
941
+ - split: test
942
+ path: "benchmark/0core/timestamp/Grocery_and_Gourmet_Food.test.csv"
943
+ - config_name: 0core_timestamp_Sports_and_Outdoors
944
+ data_files:
945
+ - split: train
946
+ path: "benchmark/0core/timestamp/Sports_and_Outdoors.train.csv"
947
+ - split: validation
948
+ path: "benchmark/0core/timestamp/Sports_and_Outdoors.valid.csv"
949
+ - split: test
950
+ path: "benchmark/0core/timestamp/Sports_and_Outdoors.test.csv"
951
+ - config_name: 0core_timestamp_Home_and_Kitchen
952
+ data_files:
953
+ - split: train
954
+ path: "benchmark/0core/timestamp/Home_and_Kitchen.train.csv"
955
+ - split: validation
956
+ path: "benchmark/0core/timestamp/Home_and_Kitchen.valid.csv"
957
+ - split: test
958
+ path: "benchmark/0core/timestamp/Home_and_Kitchen.test.csv"
959
+ - config_name: 0core_timestamp_Subscription_Boxes
960
+ data_files:
961
+ - split: train
962
+ path: "benchmark/0core/timestamp/Subscription_Boxes.train.csv"
963
+ - split: validation
964
+ path: "benchmark/0core/timestamp/Subscription_Boxes.valid.csv"
965
+ - split: test
966
+ path: "benchmark/0core/timestamp/Subscription_Boxes.test.csv"
967
+ - config_name: 0core_timestamp_Tools_and_Home_Improvement
968
+ data_files:
969
+ - split: train
970
+ path: "benchmark/0core/timestamp/Tools_and_Home_Improvement.train.csv"
971
+ - split: validation
972
+ path: "benchmark/0core/timestamp/Tools_and_Home_Improvement.valid.csv"
973
+ - split: test
974
+ path: "benchmark/0core/timestamp/Tools_and_Home_Improvement.test.csv"
975
+ - config_name: 0core_timestamp_Pet_Supplies
976
+ data_files:
977
+ - split: train
978
+ path: "benchmark/0core/timestamp/Pet_Supplies.train.csv"
979
+ - split: validation
980
+ path: "benchmark/0core/timestamp/Pet_Supplies.valid.csv"
981
+ - split: test
982
+ path: "benchmark/0core/timestamp/Pet_Supplies.test.csv"
983
+ - config_name: 0core_timestamp_Video_Games
984
+ data_files:
985
+ - split: train
986
+ path: "benchmark/0core/timestamp/Video_Games.train.csv"
987
+ - split: validation
988
+ path: "benchmark/0core/timestamp/Video_Games.valid.csv"
989
+ - split: test
990
+ path: "benchmark/0core/timestamp/Video_Games.test.csv"
991
+ - config_name: 0core_timestamp_Kindle_Store
992
+ data_files:
993
+ - split: train
994
+ path: "benchmark/0core/timestamp/Kindle_Store.train.csv"
995
+ - split: validation
996
+ path: "benchmark/0core/timestamp/Kindle_Store.valid.csv"
997
+ - split: test
998
+ path: "benchmark/0core/timestamp/Kindle_Store.test.csv"
999
+ - config_name: 0core_timestamp_Clothing_Shoes_and_Jewelry
1000
+ data_files:
1001
+ - split: train
1002
+ path: "benchmark/0core/timestamp/Clothing_Shoes_and_Jewelry.train.csv"
1003
+ - split: validation
1004
+ path: "benchmark/0core/timestamp/Clothing_Shoes_and_Jewelry.valid.csv"
1005
+ - split: test
1006
+ path: "benchmark/0core/timestamp/Clothing_Shoes_and_Jewelry.test.csv"
1007
+ - config_name: 0core_timestamp_Patio_Lawn_and_Garden
1008
+ data_files:
1009
+ - split: train
1010
+ path: "benchmark/0core/timestamp/Patio_Lawn_and_Garden.train.csv"
1011
+ - split: validation
1012
+ path: "benchmark/0core/timestamp/Patio_Lawn_and_Garden.valid.csv"
1013
+ - split: test
1014
+ path: "benchmark/0core/timestamp/Patio_Lawn_and_Garden.test.csv"
1015
+ - config_name: 0core_timestamp_Unknown
1016
+ data_files:
1017
+ - split: train
1018
+ path: "benchmark/0core/timestamp/Unknown.train.csv"
1019
+ - split: validation
1020
+ path: "benchmark/0core/timestamp/Unknown.valid.csv"
1021
+ - split: test
1022
+ path: "benchmark/0core/timestamp/Unknown.test.csv"
1023
+ - config_name: 0core_timestamp_Books
1024
+ data_files:
1025
+ - split: train
1026
+ path: "benchmark/0core/timestamp/Books.train.csv"
1027
+ - split: validation
1028
+ path: "benchmark/0core/timestamp/Books.valid.csv"
1029
+ - split: test
1030
+ path: "benchmark/0core/timestamp/Books.test.csv"
1031
+ - config_name: 0core_timestamp_Automotive
1032
+ data_files:
1033
+ - split: train
1034
+ path: "benchmark/0core/timestamp/Automotive.train.csv"
1035
+ - split: validation
1036
+ path: "benchmark/0core/timestamp/Automotive.valid.csv"
1037
+ - split: test
1038
+ path: "benchmark/0core/timestamp/Automotive.test.csv"
1039
+ - config_name: 0core_timestamp_CDs_and_Vinyl
1040
+ data_files:
1041
+ - split: train
1042
+ path: "benchmark/0core/timestamp/CDs_and_Vinyl.train.csv"
1043
+ - split: validation
1044
+ path: "benchmark/0core/timestamp/CDs_and_Vinyl.valid.csv"
1045
+ - split: test
1046
+ path: "benchmark/0core/timestamp/CDs_and_Vinyl.test.csv"
1047
+ - config_name: 0core_timestamp_Beauty_and_Personal_Care
1048
+ data_files:
1049
+ - split: train
1050
+ path: "benchmark/0core/timestamp/Beauty_and_Personal_Care.train.csv"
1051
+ - split: validation
1052
+ path: "benchmark/0core/timestamp/Beauty_and_Personal_Care.valid.csv"
1053
+ - split: test
1054
+ path: "benchmark/0core/timestamp/Beauty_and_Personal_Care.test.csv"
1055
+ - config_name: 0core_timestamp_Amazon_Fashion
1056
+ data_files:
1057
+ - split: train
1058
+ path: "benchmark/0core/timestamp/Amazon_Fashion.train.csv"
1059
+ - split: validation
1060
+ path: "benchmark/0core/timestamp/Amazon_Fashion.valid.csv"
1061
+ - split: test
1062
+ path: "benchmark/0core/timestamp/Amazon_Fashion.test.csv"
1063
+ - config_name: 0core_timestamp_Magazine_Subscriptions
1064
+ data_files:
1065
+ - split: train
1066
+ path: "benchmark/0core/timestamp/Magazine_Subscriptions.train.csv"
1067
+ - split: validation
1068
+ path: "benchmark/0core/timestamp/Magazine_Subscriptions.valid.csv"
1069
+ - split: test
1070
+ path: "benchmark/0core/timestamp/Magazine_Subscriptions.test.csv"
1071
+ - config_name: 0core_timestamp_Software
1072
+ data_files:
1073
+ - split: train
1074
+ path: "benchmark/0core/timestamp/Software.train.csv"
1075
+ - split: validation
1076
+ path: "benchmark/0core/timestamp/Software.valid.csv"
1077
+ - split: test
1078
+ path: "benchmark/0core/timestamp/Software.test.csv"
1079
+ - config_name: 0core_timestamp_Health_and_Personal_Care
1080
+ data_files:
1081
+ - split: train
1082
+ path: "benchmark/0core/timestamp/Health_and_Personal_Care.train.csv"
1083
+ - split: validation
1084
+ path: "benchmark/0core/timestamp/Health_and_Personal_Care.valid.csv"
1085
+ - split: test
1086
+ path: "benchmark/0core/timestamp/Health_and_Personal_Care.test.csv"
1087
+ - config_name: 0core_timestamp_Appliances
1088
+ data_files:
1089
+ - split: train
1090
+ path: "benchmark/0core/timestamp/Appliances.train.csv"
1091
+ - split: validation
1092
+ path: "benchmark/0core/timestamp/Appliances.valid.csv"
1093
+ - split: test
1094
+ path: "benchmark/0core/timestamp/Appliances.test.csv"
1095
+ - config_name: 0core_timestamp_Movies_and_TV
1096
+ data_files:
1097
+ - split: train
1098
+ path: "benchmark/0core/timestamp/Movies_and_TV.train.csv"
1099
+ - split: validation
1100
+ path: "benchmark/0core/timestamp/Movies_and_TV.valid.csv"
1101
+ - split: test
1102
+ path: "benchmark/0core/timestamp/Movies_and_TV.test.csv"
1103
+ - config_name: 0core_last_out_seq_All_Beauty
1104
+ data_files:
1105
+ - split: train
1106
+ path: "benchmark/0core/last_out_seq/All_Beauty.train.csv"
1107
+ - split: validation
1108
+ path: "benchmark/0core/last_out_seq/All_Beauty.valid.csv"
1109
+ - split: test
1110
+ path: "benchmark/0core/last_out_seq/All_Beauty.test.csv"
1111
+ - config_name: 0core_last_out_seq_Toys_and_Games
1112
+ data_files:
1113
+ - split: train
1114
+ path: "benchmark/0core/last_out_seq/Toys_and_Games.train.csv"
1115
+ - split: validation
1116
+ path: "benchmark/0core/last_out_seq/Toys_and_Games.valid.csv"
1117
+ - split: test
1118
+ path: "benchmark/0core/last_out_seq/Toys_and_Games.test.csv"
1119
+ - config_name: 0core_last_out_seq_Cell_Phones_and_Accessories
1120
+ data_files:
1121
+ - split: train
1122
+ path: "benchmark/0core/last_out_seq/Cell_Phones_and_Accessories.train.csv"
1123
+ - split: validation
1124
+ path: "benchmark/0core/last_out_seq/Cell_Phones_and_Accessories.valid.csv"
1125
+ - split: test
1126
+ path: "benchmark/0core/last_out_seq/Cell_Phones_and_Accessories.test.csv"
1127
+ - config_name: 0core_last_out_seq_Industrial_and_Scientific
1128
+ data_files:
1129
+ - split: train
1130
+ path: "benchmark/0core/last_out_seq/Industrial_and_Scientific.train.csv"
1131
+ - split: validation
1132
+ path: "benchmark/0core/last_out_seq/Industrial_and_Scientific.valid.csv"
1133
+ - split: test
1134
+ path: "benchmark/0core/last_out_seq/Industrial_and_Scientific.test.csv"
1135
+ - config_name: 0core_last_out_seq_Gift_Cards
1136
+ data_files:
1137
+ - split: train
1138
+ path: "benchmark/0core/last_out_seq/Gift_Cards.train.csv"
1139
+ - split: validation
1140
+ path: "benchmark/0core/last_out_seq/Gift_Cards.valid.csv"
1141
+ - split: test
1142
+ path: "benchmark/0core/last_out_seq/Gift_Cards.test.csv"
1143
+ - config_name: 0core_last_out_seq_Musical_Instruments
1144
+ data_files:
1145
+ - split: train
1146
+ path: "benchmark/0core/last_out_seq/Musical_Instruments.train.csv"
1147
+ - split: validation
1148
+ path: "benchmark/0core/last_out_seq/Musical_Instruments.valid.csv"
1149
+ - split: test
1150
+ path: "benchmark/0core/last_out_seq/Musical_Instruments.test.csv"
1151
+ - config_name: 0core_last_out_seq_Electronics
1152
+ data_files:
1153
+ - split: train
1154
+ path: "benchmark/0core/last_out_seq/Electronics.train.csv"
1155
+ - split: validation
1156
+ path: "benchmark/0core/last_out_seq/Electronics.valid.csv"
1157
+ - split: test
1158
+ path: "benchmark/0core/last_out_seq/Electronics.test.csv"
1159
+ - config_name: 0core_last_out_seq_Handmade_Products
1160
+ data_files:
1161
+ - split: train
1162
+ path: "benchmark/0core/last_out_seq/Handmade_Products.train.csv"
1163
+ - split: validation
1164
+ path: "benchmark/0core/last_out_seq/Handmade_Products.valid.csv"
1165
+ - split: test
1166
+ path: "benchmark/0core/last_out_seq/Handmade_Products.test.csv"
1167
+ - config_name: 0core_last_out_seq_Arts_Crafts_and_Sewing
1168
+ data_files:
1169
+ - split: train
1170
+ path: "benchmark/0core/last_out_seq/Arts_Crafts_and_Sewing.train.csv"
1171
+ - split: validation
1172
+ path: "benchmark/0core/last_out_seq/Arts_Crafts_and_Sewing.valid.csv"
1173
+ - split: test
1174
+ path: "benchmark/0core/last_out_seq/Arts_Crafts_and_Sewing.test.csv"
1175
+ - config_name: 0core_last_out_seq_Baby_Products
1176
+ data_files:
1177
+ - split: train
1178
+ path: "benchmark/0core/last_out_seq/Baby_Products.train.csv"
1179
+ - split: validation
1180
+ path: "benchmark/0core/last_out_seq/Baby_Products.valid.csv"
1181
+ - split: test
1182
+ path: "benchmark/0core/last_out_seq/Baby_Products.test.csv"
1183
+ - config_name: 0core_last_out_seq_Health_and_Household
1184
+ data_files:
1185
+ - split: train
1186
+ path: "benchmark/0core/last_out_seq/Health_and_Household.train.csv"
1187
+ - split: validation
1188
+ path: "benchmark/0core/last_out_seq/Health_and_Household.valid.csv"
1189
+ - split: test
1190
+ path: "benchmark/0core/last_out_seq/Health_and_Household.test.csv"
1191
+ - config_name: 0core_last_out_seq_Office_Products
1192
+ data_files:
1193
+ - split: train
1194
+ path: "benchmark/0core/last_out_seq/Office_Products.train.csv"
1195
+ - split: validation
1196
+ path: "benchmark/0core/last_out_seq/Office_Products.valid.csv"
1197
+ - split: test
1198
+ path: "benchmark/0core/last_out_seq/Office_Products.test.csv"
1199
+ - config_name: 0core_last_out_seq_Digital_Music
1200
+ data_files:
1201
+ - split: train
1202
+ path: "benchmark/0core/last_out_seq/Digital_Music.train.csv"
1203
+ - split: validation
1204
+ path: "benchmark/0core/last_out_seq/Digital_Music.valid.csv"
1205
+ - split: test
1206
+ path: "benchmark/0core/last_out_seq/Digital_Music.test.csv"
1207
+ - config_name: 0core_last_out_seq_Grocery_and_Gourmet_Food
1208
+ data_files:
1209
+ - split: train
1210
+ path: "benchmark/0core/last_out_seq/Grocery_and_Gourmet_Food.train.csv"
1211
+ - split: validation
1212
+ path: "benchmark/0core/last_out_seq/Grocery_and_Gourmet_Food.valid.csv"
1213
+ - split: test
1214
+ path: "benchmark/0core/last_out_seq/Grocery_and_Gourmet_Food.test.csv"
1215
+ - config_name: 0core_last_out_seq_Sports_and_Outdoors
1216
+ data_files:
1217
+ - split: train
1218
+ path: "benchmark/0core/last_out_seq/Sports_and_Outdoors.train.csv"
1219
+ - split: validation
1220
+ path: "benchmark/0core/last_out_seq/Sports_and_Outdoors.valid.csv"
1221
+ - split: test
1222
+ path: "benchmark/0core/last_out_seq/Sports_and_Outdoors.test.csv"
1223
+ - config_name: 0core_last_out_seq_Home_and_Kitchen
1224
+ data_files:
1225
+ - split: train
1226
+ path: "benchmark/0core/last_out_seq/Home_and_Kitchen.train.csv"
1227
+ - split: validation
1228
+ path: "benchmark/0core/last_out_seq/Home_and_Kitchen.valid.csv"
1229
+ - split: test
1230
+ path: "benchmark/0core/last_out_seq/Home_and_Kitchen.test.csv"
1231
+ - config_name: 0core_last_out_seq_Subscription_Boxes
1232
+ data_files:
1233
+ - split: train
1234
+ path: "benchmark/0core/last_out_seq/Subscription_Boxes.train.csv"
1235
+ - split: validation
1236
+ path: "benchmark/0core/last_out_seq/Subscription_Boxes.valid.csv"
1237
+ - split: test
1238
+ path: "benchmark/0core/last_out_seq/Subscription_Boxes.test.csv"
1239
+ - config_name: 0core_last_out_seq_Tools_and_Home_Improvement
1240
+ data_files:
1241
+ - split: train
1242
+ path: "benchmark/0core/last_out_seq/Tools_and_Home_Improvement.train.csv"
1243
+ - split: validation
1244
+ path: "benchmark/0core/last_out_seq/Tools_and_Home_Improvement.valid.csv"
1245
+ - split: test
1246
+ path: "benchmark/0core/last_out_seq/Tools_and_Home_Improvement.test.csv"
1247
+ - config_name: 0core_last_out_seq_Pet_Supplies
1248
+ data_files:
1249
+ - split: train
1250
+ path: "benchmark/0core/last_out_seq/Pet_Supplies.train.csv"
1251
+ - split: validation
1252
+ path: "benchmark/0core/last_out_seq/Pet_Supplies.valid.csv"
1253
+ - split: test
1254
+ path: "benchmark/0core/last_out_seq/Pet_Supplies.test.csv"
1255
+ - config_name: 0core_last_out_seq_Video_Games
1256
+ data_files:
1257
+ - split: train
1258
+ path: "benchmark/0core/last_out_seq/Video_Games.train.csv"
1259
+ - split: validation
1260
+ path: "benchmark/0core/last_out_seq/Video_Games.valid.csv"
1261
+ - split: test
1262
+ path: "benchmark/0core/last_out_seq/Video_Games.test.csv"
1263
+ - config_name: 0core_last_out_seq_Kindle_Store
1264
+ data_files:
1265
+ - split: train
1266
+ path: "benchmark/0core/last_out_seq/Kindle_Store.train.csv"
1267
+ - split: validation
1268
+ path: "benchmark/0core/last_out_seq/Kindle_Store.valid.csv"
1269
+ - split: test
1270
+ path: "benchmark/0core/last_out_seq/Kindle_Store.test.csv"
1271
+ - config_name: 0core_last_out_seq_Clothing_Shoes_and_Jewelry
1272
+ data_files:
1273
+ - split: train
1274
+ path: "benchmark/0core/last_out_seq/Clothing_Shoes_and_Jewelry.train.csv"
1275
+ - split: validation
1276
+ path: "benchmark/0core/last_out_seq/Clothing_Shoes_and_Jewelry.valid.csv"
1277
+ - split: test
1278
+ path: "benchmark/0core/last_out_seq/Clothing_Shoes_and_Jewelry.test.csv"
1279
+ - config_name: 0core_last_out_seq_Patio_Lawn_and_Garden
1280
+ data_files:
1281
+ - split: train
1282
+ path: "benchmark/0core/last_out_seq/Patio_Lawn_and_Garden.train.csv"
1283
+ - split: validation
1284
+ path: "benchmark/0core/last_out_seq/Patio_Lawn_and_Garden.valid.csv"
1285
+ - split: test
1286
+ path: "benchmark/0core/last_out_seq/Patio_Lawn_and_Garden.test.csv"
1287
+ - config_name: 0core_last_out_seq_Unknown
1288
+ data_files:
1289
+ - split: train
1290
+ path: "benchmark/0core/last_out_seq/Unknown.train.csv"
1291
+ - split: validation
1292
+ path: "benchmark/0core/last_out_seq/Unknown.valid.csv"
1293
+ - split: test
1294
+ path: "benchmark/0core/last_out_seq/Unknown.test.csv"
1295
+ - config_name: 0core_last_out_seq_Books
1296
+ data_files:
1297
+ - split: train
1298
+ path: "benchmark/0core/last_out_seq/Books.train.csv"
1299
+ - split: validation
1300
+ path: "benchmark/0core/last_out_seq/Books.valid.csv"
1301
+ - split: test
1302
+ path: "benchmark/0core/last_out_seq/Books.test.csv"
1303
+ - config_name: 0core_last_out_seq_Automotive
1304
+ data_files:
1305
+ - split: train
1306
+ path: "benchmark/0core/last_out_seq/Automotive.train.csv"
1307
+ - split: validation
1308
+ path: "benchmark/0core/last_out_seq/Automotive.valid.csv"
1309
+ - split: test
1310
+ path: "benchmark/0core/last_out_seq/Automotive.test.csv"
1311
+ - config_name: 0core_last_out_seq_CDs_and_Vinyl
1312
+ data_files:
1313
+ - split: train
1314
+ path: "benchmark/0core/last_out_seq/CDs_and_Vinyl.train.csv"
1315
+ - split: validation
1316
+ path: "benchmark/0core/last_out_seq/CDs_and_Vinyl.valid.csv"
1317
+ - split: test
1318
+ path: "benchmark/0core/last_out_seq/CDs_and_Vinyl.test.csv"
1319
+ - config_name: 0core_last_out_seq_Beauty_and_Personal_Care
1320
+ data_files:
1321
+ - split: train
1322
+ path: "benchmark/0core/last_out_seq/Beauty_and_Personal_Care.train.csv"
1323
+ - split: validation
1324
+ path: "benchmark/0core/last_out_seq/Beauty_and_Personal_Care.valid.csv"
1325
+ - split: test
1326
+ path: "benchmark/0core/last_out_seq/Beauty_and_Personal_Care.test.csv"
1327
+ - config_name: 0core_last_out_seq_Amazon_Fashion
1328
+ data_files:
1329
+ - split: train
1330
+ path: "benchmark/0core/last_out_seq/Amazon_Fashion.train.csv"
1331
+ - split: validation
1332
+ path: "benchmark/0core/last_out_seq/Amazon_Fashion.valid.csv"
1333
+ - split: test
1334
+ path: "benchmark/0core/last_out_seq/Amazon_Fashion.test.csv"
1335
+ - config_name: 0core_last_out_seq_Magazine_Subscriptions
1336
+ data_files:
1337
+ - split: train
1338
+ path: "benchmark/0core/last_out_seq/Magazine_Subscriptions.train.csv"
1339
+ - split: validation
1340
+ path: "benchmark/0core/last_out_seq/Magazine_Subscriptions.valid.csv"
1341
+ - split: test
1342
+ path: "benchmark/0core/last_out_seq/Magazine_Subscriptions.test.csv"
1343
+ - config_name: 0core_last_out_seq_Software
1344
+ data_files:
1345
+ - split: train
1346
+ path: "benchmark/0core/last_out_seq/Software.train.csv"
1347
+ - split: validation
1348
+ path: "benchmark/0core/last_out_seq/Software.valid.csv"
1349
+ - split: test
1350
+ path: "benchmark/0core/last_out_seq/Software.test.csv"
1351
+ - config_name: 0core_last_out_seq_Health_and_Personal_Care
1352
+ data_files:
1353
+ - split: train
1354
+ path: "benchmark/0core/last_out_seq/Health_and_Personal_Care.train.csv"
1355
+ - split: validation
1356
+ path: "benchmark/0core/last_out_seq/Health_and_Personal_Care.valid.csv"
1357
+ - split: test
1358
+ path: "benchmark/0core/last_out_seq/Health_and_Personal_Care.test.csv"
1359
+ - config_name: 0core_last_out_seq_Appliances
1360
+ data_files:
1361
+ - split: train
1362
+ path: "benchmark/0core/last_out_seq/Appliances.train.csv"
1363
+ - split: validation
1364
+ path: "benchmark/0core/last_out_seq/Appliances.valid.csv"
1365
+ - split: test
1366
+ path: "benchmark/0core/last_out_seq/Appliances.test.csv"
1367
+ - config_name: 0core_last_out_seq_Movies_and_TV
1368
+ data_files:
1369
+ - split: train
1370
+ path: "benchmark/0core/last_out_seq/Movies_and_TV.train.csv"
1371
+ - split: validation
1372
+ path: "benchmark/0core/last_out_seq/Movies_and_TV.valid.csv"
1373
+ - split: test
1374
+ path: "benchmark/0core/last_out_seq/Movies_and_TV.test.csv"
1375
+ - config_name: 0core_timestamp_seq_All_Beauty
1376
+ data_files:
1377
+ - split: train
1378
+ path: "benchmark/0core/timestamp_seq/All_Beauty.train.csv"
1379
+ - split: validation
1380
+ path: "benchmark/0core/timestamp_seq/All_Beauty.valid.csv"
1381
+ - split: test
1382
+ path: "benchmark/0core/timestamp_seq/All_Beauty.test.csv"
1383
+ - config_name: 0core_timestamp_seq_Toys_and_Games
1384
+ data_files:
1385
+ - split: train
1386
+ path: "benchmark/0core/timestamp_seq/Toys_and_Games.train.csv"
1387
+ - split: validation
1388
+ path: "benchmark/0core/timestamp_seq/Toys_and_Games.valid.csv"
1389
+ - split: test
1390
+ path: "benchmark/0core/timestamp_seq/Toys_and_Games.test.csv"
1391
+ - config_name: 0core_timestamp_seq_Cell_Phones_and_Accessories
1392
+ data_files:
1393
+ - split: train
1394
+ path: "benchmark/0core/timestamp_seq/Cell_Phones_and_Accessories.train.csv"
1395
+ - split: validation
1396
+ path: "benchmark/0core/timestamp_seq/Cell_Phones_and_Accessories.valid.csv"
1397
+ - split: test
1398
+ path: "benchmark/0core/timestamp_seq/Cell_Phones_and_Accessories.test.csv"
1399
+ - config_name: 0core_timestamp_seq_Industrial_and_Scientific
1400
+ data_files:
1401
+ - split: train
1402
+ path: "benchmark/0core/timestamp_seq/Industrial_and_Scientific.train.csv"
1403
+ - split: validation
1404
+ path: "benchmark/0core/timestamp_seq/Industrial_and_Scientific.valid.csv"
1405
+ - split: test
1406
+ path: "benchmark/0core/timestamp_seq/Industrial_and_Scientific.test.csv"
1407
+ - config_name: 0core_timestamp_seq_Gift_Cards
1408
+ data_files:
1409
+ - split: train
1410
+ path: "benchmark/0core/timestamp_seq/Gift_Cards.train.csv"
1411
+ - split: validation
1412
+ path: "benchmark/0core/timestamp_seq/Gift_Cards.valid.csv"
1413
+ - split: test
1414
+ path: "benchmark/0core/timestamp_seq/Gift_Cards.test.csv"
1415
+ - config_name: 0core_timestamp_seq_Musical_Instruments
1416
+ data_files:
1417
+ - split: train
1418
+ path: "benchmark/0core/timestamp_seq/Musical_Instruments.train.csv"
1419
+ - split: validation
1420
+ path: "benchmark/0core/timestamp_seq/Musical_Instruments.valid.csv"
1421
+ - split: test
1422
+ path: "benchmark/0core/timestamp_seq/Musical_Instruments.test.csv"
1423
+ - config_name: 0core_timestamp_seq_Electronics
1424
+ data_files:
1425
+ - split: train
1426
+ path: "benchmark/0core/timestamp_seq/Electronics.train.csv"
1427
+ - split: validation
1428
+ path: "benchmark/0core/timestamp_seq/Electronics.valid.csv"
1429
+ - split: test
1430
+ path: "benchmark/0core/timestamp_seq/Electronics.test.csv"
1431
+ - config_name: 0core_timestamp_seq_Handmade_Products
1432
+ data_files:
1433
+ - split: train
1434
+ path: "benchmark/0core/timestamp_seq/Handmade_Products.train.csv"
1435
+ - split: validation
1436
+ path: "benchmark/0core/timestamp_seq/Handmade_Products.valid.csv"
1437
+ - split: test
1438
+ path: "benchmark/0core/timestamp_seq/Handmade_Products.test.csv"
1439
+ - config_name: 0core_timestamp_seq_Arts_Crafts_and_Sewing
1440
+ data_files:
1441
+ - split: train
1442
+ path: "benchmark/0core/timestamp_seq/Arts_Crafts_and_Sewing.train.csv"
1443
+ - split: validation
1444
+ path: "benchmark/0core/timestamp_seq/Arts_Crafts_and_Sewing.valid.csv"
1445
+ - split: test
1446
+ path: "benchmark/0core/timestamp_seq/Arts_Crafts_and_Sewing.test.csv"
1447
+ - config_name: 0core_timestamp_seq_Baby_Products
1448
+ data_files:
1449
+ - split: train
1450
+ path: "benchmark/0core/timestamp_seq/Baby_Products.train.csv"
1451
+ - split: validation
1452
+ path: "benchmark/0core/timestamp_seq/Baby_Products.valid.csv"
1453
+ - split: test
1454
+ path: "benchmark/0core/timestamp_seq/Baby_Products.test.csv"
1455
+ - config_name: 0core_timestamp_seq_Health_and_Household
1456
+ data_files:
1457
+ - split: train
1458
+ path: "benchmark/0core/timestamp_seq/Health_and_Household.train.csv"
1459
+ - split: validation
1460
+ path: "benchmark/0core/timestamp_seq/Health_and_Household.valid.csv"
1461
+ - split: test
1462
+ path: "benchmark/0core/timestamp_seq/Health_and_Household.test.csv"
1463
+ - config_name: 0core_timestamp_seq_Office_Products
1464
+ data_files:
1465
+ - split: train
1466
+ path: "benchmark/0core/timestamp_seq/Office_Products.train.csv"
1467
+ - split: validation
1468
+ path: "benchmark/0core/timestamp_seq/Office_Products.valid.csv"
1469
+ - split: test
1470
+ path: "benchmark/0core/timestamp_seq/Office_Products.test.csv"
1471
+ - config_name: 0core_timestamp_seq_Digital_Music
1472
+ data_files:
1473
+ - split: train
1474
+ path: "benchmark/0core/timestamp_seq/Digital_Music.train.csv"
1475
+ - split: validation
1476
+ path: "benchmark/0core/timestamp_seq/Digital_Music.valid.csv"
1477
+ - split: test
1478
+ path: "benchmark/0core/timestamp_seq/Digital_Music.test.csv"
1479
+ - config_name: 0core_timestamp_seq_Grocery_and_Gourmet_Food
1480
+ data_files:
1481
+ - split: train
1482
+ path: "benchmark/0core/timestamp_seq/Grocery_and_Gourmet_Food.train.csv"
1483
+ - split: validation
1484
+ path: "benchmark/0core/timestamp_seq/Grocery_and_Gourmet_Food.valid.csv"
1485
+ - split: test
1486
+ path: "benchmark/0core/timestamp_seq/Grocery_and_Gourmet_Food.test.csv"
1487
+ - config_name: 0core_timestamp_seq_Sports_and_Outdoors
1488
+ data_files:
1489
+ - split: train
1490
+ path: "benchmark/0core/timestamp_seq/Sports_and_Outdoors.train.csv"
1491
+ - split: validation
1492
+ path: "benchmark/0core/timestamp_seq/Sports_and_Outdoors.valid.csv"
1493
+ - split: test
1494
+ path: "benchmark/0core/timestamp_seq/Sports_and_Outdoors.test.csv"
1495
+ - config_name: 0core_timestamp_seq_Home_and_Kitchen
1496
+ data_files:
1497
+ - split: train
1498
+ path: "benchmark/0core/timestamp_seq/Home_and_Kitchen.train.csv"
1499
+ - split: validation
1500
+ path: "benchmark/0core/timestamp_seq/Home_and_Kitchen.valid.csv"
1501
+ - split: test
1502
+ path: "benchmark/0core/timestamp_seq/Home_and_Kitchen.test.csv"
1503
+ - config_name: 0core_timestamp_seq_Subscription_Boxes
1504
+ data_files:
1505
+ - split: train
1506
+ path: "benchmark/0core/timestamp_seq/Subscription_Boxes.train.csv"
1507
+ - split: validation
1508
+ path: "benchmark/0core/timestamp_seq/Subscription_Boxes.valid.csv"
1509
+ - split: test
1510
+ path: "benchmark/0core/timestamp_seq/Subscription_Boxes.test.csv"
1511
+ - config_name: 0core_timestamp_seq_Tools_and_Home_Improvement
1512
+ data_files:
1513
+ - split: train
1514
+ path: "benchmark/0core/timestamp_seq/Tools_and_Home_Improvement.train.csv"
1515
+ - split: validation
1516
+ path: "benchmark/0core/timestamp_seq/Tools_and_Home_Improvement.valid.csv"
1517
+ - split: test
1518
+ path: "benchmark/0core/timestamp_seq/Tools_and_Home_Improvement.test.csv"
1519
+ - config_name: 0core_timestamp_seq_Pet_Supplies
1520
+ data_files:
1521
+ - split: train
1522
+ path: "benchmark/0core/timestamp_seq/Pet_Supplies.train.csv"
1523
+ - split: validation
1524
+ path: "benchmark/0core/timestamp_seq/Pet_Supplies.valid.csv"
1525
+ - split: test
1526
+ path: "benchmark/0core/timestamp_seq/Pet_Supplies.test.csv"
1527
+ - config_name: 0core_timestamp_seq_Video_Games
1528
+ data_files:
1529
+ - split: train
1530
+ path: "benchmark/0core/timestamp_seq/Video_Games.train.csv"
1531
+ - split: validation
1532
+ path: "benchmark/0core/timestamp_seq/Video_Games.valid.csv"
1533
+ - split: test
1534
+ path: "benchmark/0core/timestamp_seq/Video_Games.test.csv"
1535
+ - config_name: 0core_timestamp_seq_Kindle_Store
1536
+ data_files:
1537
+ - split: train
1538
+ path: "benchmark/0core/timestamp_seq/Kindle_Store.train.csv"
1539
+ - split: validation
1540
+ path: "benchmark/0core/timestamp_seq/Kindle_Store.valid.csv"
1541
+ - split: test
1542
+ path: "benchmark/0core/timestamp_seq/Kindle_Store.test.csv"
1543
+ - config_name: 0core_timestamp_seq_Clothing_Shoes_and_Jewelry
1544
+ data_files:
1545
+ - split: train
1546
+ path: "benchmark/0core/timestamp_seq/Clothing_Shoes_and_Jewelry.train.csv"
1547
+ - split: validation
1548
+ path: "benchmark/0core/timestamp_seq/Clothing_Shoes_and_Jewelry.valid.csv"
1549
+ - split: test
1550
+ path: "benchmark/0core/timestamp_seq/Clothing_Shoes_and_Jewelry.test.csv"
1551
+ - config_name: 0core_timestamp_seq_Patio_Lawn_and_Garden
1552
+ data_files:
1553
+ - split: train
1554
+ path: "benchmark/0core/timestamp_seq/Patio_Lawn_and_Garden.train.csv"
1555
+ - split: validation
1556
+ path: "benchmark/0core/timestamp_seq/Patio_Lawn_and_Garden.valid.csv"
1557
+ - split: test
1558
+ path: "benchmark/0core/timestamp_seq/Patio_Lawn_and_Garden.test.csv"
1559
+ - config_name: 0core_timestamp_seq_Unknown
1560
+ data_files:
1561
+ - split: train
1562
+ path: "benchmark/0core/timestamp_seq/Unknown.train.csv"
1563
+ - split: validation
1564
+ path: "benchmark/0core/timestamp_seq/Unknown.valid.csv"
1565
+ - split: test
1566
+ path: "benchmark/0core/timestamp_seq/Unknown.test.csv"
1567
+ - config_name: 0core_timestamp_seq_Books
1568
+ data_files:
1569
+ - split: train
1570
+ path: "benchmark/0core/timestamp_seq/Books.train.csv"
1571
+ - split: validation
1572
+ path: "benchmark/0core/timestamp_seq/Books.valid.csv"
1573
+ - split: test
1574
+ path: "benchmark/0core/timestamp_seq/Books.test.csv"
1575
+ - config_name: 0core_timestamp_seq_Automotive
1576
+ data_files:
1577
+ - split: train
1578
+ path: "benchmark/0core/timestamp_seq/Automotive.train.csv"
1579
+ - split: validation
1580
+ path: "benchmark/0core/timestamp_seq/Automotive.valid.csv"
1581
+ - split: test
1582
+ path: "benchmark/0core/timestamp_seq/Automotive.test.csv"
1583
+ - config_name: 0core_timestamp_seq_CDs_and_Vinyl
1584
+ data_files:
1585
+ - split: train
1586
+ path: "benchmark/0core/timestamp_seq/CDs_and_Vinyl.train.csv"
1587
+ - split: validation
1588
+ path: "benchmark/0core/timestamp_seq/CDs_and_Vinyl.valid.csv"
1589
+ - split: test
1590
+ path: "benchmark/0core/timestamp_seq/CDs_and_Vinyl.test.csv"
1591
+ - config_name: 0core_timestamp_seq_Beauty_and_Personal_Care
1592
+ data_files:
1593
+ - split: train
1594
+ path: "benchmark/0core/timestamp_seq/Beauty_and_Personal_Care.train.csv"
1595
+ - split: validation
1596
+ path: "benchmark/0core/timestamp_seq/Beauty_and_Personal_Care.valid.csv"
1597
+ - split: test
1598
+ path: "benchmark/0core/timestamp_seq/Beauty_and_Personal_Care.test.csv"
1599
+ - config_name: 0core_timestamp_seq_Amazon_Fashion
1600
+ data_files:
1601
+ - split: train
1602
+ path: "benchmark/0core/timestamp_seq/Amazon_Fashion.train.csv"
1603
+ - split: validation
1604
+ path: "benchmark/0core/timestamp_seq/Amazon_Fashion.valid.csv"
1605
+ - split: test
1606
+ path: "benchmark/0core/timestamp_seq/Amazon_Fashion.test.csv"
1607
+ - config_name: 0core_timestamp_seq_Magazine_Subscriptions
1608
+ data_files:
1609
+ - split: train
1610
+ path: "benchmark/0core/timestamp_seq/Magazine_Subscriptions.train.csv"
1611
+ - split: validation
1612
+ path: "benchmark/0core/timestamp_seq/Magazine_Subscriptions.valid.csv"
1613
+ - split: test
1614
+ path: "benchmark/0core/timestamp_seq/Magazine_Subscriptions.test.csv"
1615
+ - config_name: 0core_timestamp_seq_Software
1616
+ data_files:
1617
+ - split: train
1618
+ path: "benchmark/0core/timestamp_seq/Software.train.csv"
1619
+ - split: validation
1620
+ path: "benchmark/0core/timestamp_seq/Software.valid.csv"
1621
+ - split: test
1622
+ path: "benchmark/0core/timestamp_seq/Software.test.csv"
1623
+ - config_name: 0core_timestamp_seq_Health_and_Personal_Care
1624
+ data_files:
1625
+ - split: train
1626
+ path: "benchmark/0core/timestamp_seq/Health_and_Personal_Care.train.csv"
1627
+ - split: validation
1628
+ path: "benchmark/0core/timestamp_seq/Health_and_Personal_Care.valid.csv"
1629
+ - split: test
1630
+ path: "benchmark/0core/timestamp_seq/Health_and_Personal_Care.test.csv"
1631
+ - config_name: 0core_timestamp_seq_Appliances
1632
+ data_files:
1633
+ - split: train
1634
+ path: "benchmark/0core/timestamp_seq/Appliances.train.csv"
1635
+ - split: validation
1636
+ path: "benchmark/0core/timestamp_seq/Appliances.valid.csv"
1637
+ - split: test
1638
+ path: "benchmark/0core/timestamp_seq/Appliances.test.csv"
1639
+ - config_name: 0core_timestamp_seq_Movies_and_TV
1640
+ data_files:
1641
+ - split: train
1642
+ path: "benchmark/0core/timestamp_seq/Movies_and_TV.train.csv"
1643
+ - split: validation
1644
+ path: "benchmark/0core/timestamp_seq/Movies_and_TV.valid.csv"
1645
+ - split: test
1646
+ path: "benchmark/0core/timestamp_seq/Movies_and_TV.test.csv"
1647
+ - config_name: 5core_last_out_All_Beauty
1648
+ data_files:
1649
+ - split: train
1650
+ path: "benchmark/5core/last_out/All_Beauty.train.csv"
1651
+ - split: validation
1652
+ path: "benchmark/5core/last_out/All_Beauty.valid.csv"
1653
+ - split: test
1654
+ path: "benchmark/5core/last_out/All_Beauty.test.csv"
1655
+ - config_name: 5core_last_out_Toys_and_Games
1656
+ data_files:
1657
+ - split: train
1658
+ path: "benchmark/5core/last_out/Toys_and_Games.train.csv"
1659
+ - split: validation
1660
+ path: "benchmark/5core/last_out/Toys_and_Games.valid.csv"
1661
+ - split: test
1662
+ path: "benchmark/5core/last_out/Toys_and_Games.test.csv"
1663
+ - config_name: 5core_last_out_Cell_Phones_and_Accessories
1664
+ data_files:
1665
+ - split: train
1666
+ path: "benchmark/5core/last_out/Cell_Phones_and_Accessories.train.csv"
1667
+ - split: validation
1668
+ path: "benchmark/5core/last_out/Cell_Phones_and_Accessories.valid.csv"
1669
+ - split: test
1670
+ path: "benchmark/5core/last_out/Cell_Phones_and_Accessories.test.csv"
1671
+ - config_name: 5core_last_out_Industrial_and_Scientific
1672
+ data_files:
1673
+ - split: train
1674
+ path: "benchmark/5core/last_out/Industrial_and_Scientific.train.csv"
1675
+ - split: validation
1676
+ path: "benchmark/5core/last_out/Industrial_and_Scientific.valid.csv"
1677
+ - split: test
1678
+ path: "benchmark/5core/last_out/Industrial_and_Scientific.test.csv"
1679
+ - config_name: 5core_last_out_Gift_Cards
1680
+ data_files:
1681
+ - split: train
1682
+ path: "benchmark/5core/last_out/Gift_Cards.train.csv"
1683
+ - split: validation
1684
+ path: "benchmark/5core/last_out/Gift_Cards.valid.csv"
1685
+ - split: test
1686
+ path: "benchmark/5core/last_out/Gift_Cards.test.csv"
1687
+ - config_name: 5core_last_out_Musical_Instruments
1688
+ data_files:
1689
+ - split: train
1690
+ path: "benchmark/5core/last_out/Musical_Instruments.train.csv"
1691
+ - split: validation
1692
+ path: "benchmark/5core/last_out/Musical_Instruments.valid.csv"
1693
+ - split: test
1694
+ path: "benchmark/5core/last_out/Musical_Instruments.test.csv"
1695
+ - config_name: 5core_last_out_Electronics
1696
+ data_files:
1697
+ - split: train
1698
+ path: "benchmark/5core/last_out/Electronics.train.csv"
1699
+ - split: validation
1700
+ path: "benchmark/5core/last_out/Electronics.valid.csv"
1701
+ - split: test
1702
+ path: "benchmark/5core/last_out/Electronics.test.csv"
1703
+ - config_name: 5core_last_out_Handmade_Products
1704
+ data_files:
1705
+ - split: train
1706
+ path: "benchmark/5core/last_out/Handmade_Products.train.csv"
1707
+ - split: validation
1708
+ path: "benchmark/5core/last_out/Handmade_Products.valid.csv"
1709
+ - split: test
1710
+ path: "benchmark/5core/last_out/Handmade_Products.test.csv"
1711
+ - config_name: 5core_last_out_Arts_Crafts_and_Sewing
1712
+ data_files:
1713
+ - split: train
1714
+ path: "benchmark/5core/last_out/Arts_Crafts_and_Sewing.train.csv"
1715
+ - split: validation
1716
+ path: "benchmark/5core/last_out/Arts_Crafts_and_Sewing.valid.csv"
1717
+ - split: test
1718
+ path: "benchmark/5core/last_out/Arts_Crafts_and_Sewing.test.csv"
1719
+ - config_name: 5core_last_out_Baby_Products
1720
+ data_files:
1721
+ - split: train
1722
+ path: "benchmark/5core/last_out/Baby_Products.train.csv"
1723
+ - split: validation
1724
+ path: "benchmark/5core/last_out/Baby_Products.valid.csv"
1725
+ - split: test
1726
+ path: "benchmark/5core/last_out/Baby_Products.test.csv"
1727
+ - config_name: 5core_last_out_Health_and_Household
1728
+ data_files:
1729
+ - split: train
1730
+ path: "benchmark/5core/last_out/Health_and_Household.train.csv"
1731
+ - split: validation
1732
+ path: "benchmark/5core/last_out/Health_and_Household.valid.csv"
1733
+ - split: test
1734
+ path: "benchmark/5core/last_out/Health_and_Household.test.csv"
1735
+ - config_name: 5core_last_out_Office_Products
1736
+ data_files:
1737
+ - split: train
1738
+ path: "benchmark/5core/last_out/Office_Products.train.csv"
1739
+ - split: validation
1740
+ path: "benchmark/5core/last_out/Office_Products.valid.csv"
1741
+ - split: test
1742
+ path: "benchmark/5core/last_out/Office_Products.test.csv"
1743
+ - config_name: 5core_last_out_Digital_Music
1744
+ data_files:
1745
+ - split: train
1746
+ path: "benchmark/5core/last_out/Digital_Music.train.csv"
1747
+ - split: validation
1748
+ path: "benchmark/5core/last_out/Digital_Music.valid.csv"
1749
+ - split: test
1750
+ path: "benchmark/5core/last_out/Digital_Music.test.csv"
1751
+ - config_name: 5core_last_out_Grocery_and_Gourmet_Food
1752
+ data_files:
1753
+ - split: train
1754
+ path: "benchmark/5core/last_out/Grocery_and_Gourmet_Food.train.csv"
1755
+ - split: validation
1756
+ path: "benchmark/5core/last_out/Grocery_and_Gourmet_Food.valid.csv"
1757
+ - split: test
1758
+ path: "benchmark/5core/last_out/Grocery_and_Gourmet_Food.test.csv"
1759
+ - config_name: 5core_last_out_Sports_and_Outdoors
1760
+ data_files:
1761
+ - split: train
1762
+ path: "benchmark/5core/last_out/Sports_and_Outdoors.train.csv"
1763
+ - split: validation
1764
+ path: "benchmark/5core/last_out/Sports_and_Outdoors.valid.csv"
1765
+ - split: test
1766
+ path: "benchmark/5core/last_out/Sports_and_Outdoors.test.csv"
1767
+ - config_name: 5core_last_out_Home_and_Kitchen
1768
+ data_files:
1769
+ - split: train
1770
+ path: "benchmark/5core/last_out/Home_and_Kitchen.train.csv"
1771
+ - split: validation
1772
+ path: "benchmark/5core/last_out/Home_and_Kitchen.valid.csv"
1773
+ - split: test
1774
+ path: "benchmark/5core/last_out/Home_and_Kitchen.test.csv"
1775
+ - config_name: 5core_last_out_Subscription_Boxes
1776
+ data_files:
1777
+ - split: train
1778
+ path: "benchmark/5core/last_out/Subscription_Boxes.train.csv"
1779
+ - split: validation
1780
+ path: "benchmark/5core/last_out/Subscription_Boxes.valid.csv"
1781
+ - split: test
1782
+ path: "benchmark/5core/last_out/Subscription_Boxes.test.csv"
1783
+ - config_name: 5core_last_out_Tools_and_Home_Improvement
1784
+ data_files:
1785
+ - split: train
1786
+ path: "benchmark/5core/last_out/Tools_and_Home_Improvement.train.csv"
1787
+ - split: validation
1788
+ path: "benchmark/5core/last_out/Tools_and_Home_Improvement.valid.csv"
1789
+ - split: test
1790
+ path: "benchmark/5core/last_out/Tools_and_Home_Improvement.test.csv"
1791
+ - config_name: 5core_last_out_Pet_Supplies
1792
+ data_files:
1793
+ - split: train
1794
+ path: "benchmark/5core/last_out/Pet_Supplies.train.csv"
1795
+ - split: validation
1796
+ path: "benchmark/5core/last_out/Pet_Supplies.valid.csv"
1797
+ - split: test
1798
+ path: "benchmark/5core/last_out/Pet_Supplies.test.csv"
1799
+ - config_name: 5core_last_out_Video_Games
1800
+ data_files:
1801
+ - split: train
1802
+ path: "benchmark/5core/last_out/Video_Games.train.csv"
1803
+ - split: validation
1804
+ path: "benchmark/5core/last_out/Video_Games.valid.csv"
1805
+ - split: test
1806
+ path: "benchmark/5core/last_out/Video_Games.test.csv"
1807
+ - config_name: 5core_last_out_Kindle_Store
1808
+ data_files:
1809
+ - split: train
1810
+ path: "benchmark/5core/last_out/Kindle_Store.train.csv"
1811
+ - split: validation
1812
+ path: "benchmark/5core/last_out/Kindle_Store.valid.csv"
1813
+ - split: test
1814
+ path: "benchmark/5core/last_out/Kindle_Store.test.csv"
1815
+ - config_name: 5core_last_out_Clothing_Shoes_and_Jewelry
1816
+ data_files:
1817
+ - split: train
1818
+ path: "benchmark/5core/last_out/Clothing_Shoes_and_Jewelry.train.csv"
1819
+ - split: validation
1820
+ path: "benchmark/5core/last_out/Clothing_Shoes_and_Jewelry.valid.csv"
1821
+ - split: test
1822
+ path: "benchmark/5core/last_out/Clothing_Shoes_and_Jewelry.test.csv"
1823
+ - config_name: 5core_last_out_Patio_Lawn_and_Garden
1824
+ data_files:
1825
+ - split: train
1826
+ path: "benchmark/5core/last_out/Patio_Lawn_and_Garden.train.csv"
1827
+ - split: validation
1828
+ path: "benchmark/5core/last_out/Patio_Lawn_and_Garden.valid.csv"
1829
+ - split: test
1830
+ path: "benchmark/5core/last_out/Patio_Lawn_and_Garden.test.csv"
1831
+ - config_name: 5core_last_out_Unknown
1832
+ data_files:
1833
+ - split: train
1834
+ path: "benchmark/5core/last_out/Unknown.train.csv"
1835
+ - split: validation
1836
+ path: "benchmark/5core/last_out/Unknown.valid.csv"
1837
+ - split: test
1838
+ path: "benchmark/5core/last_out/Unknown.test.csv"
1839
+ - config_name: 5core_last_out_Books
1840
+ data_files:
1841
+ - split: train
1842
+ path: "benchmark/5core/last_out/Books.train.csv"
1843
+ - split: validation
1844
+ path: "benchmark/5core/last_out/Books.valid.csv"
1845
+ - split: test
1846
+ path: "benchmark/5core/last_out/Books.test.csv"
1847
+ - config_name: 5core_last_out_Automotive
1848
+ data_files:
1849
+ - split: train
1850
+ path: "benchmark/5core/last_out/Automotive.train.csv"
1851
+ - split: validation
1852
+ path: "benchmark/5core/last_out/Automotive.valid.csv"
1853
+ - split: test
1854
+ path: "benchmark/5core/last_out/Automotive.test.csv"
1855
+ - config_name: 5core_last_out_CDs_and_Vinyl
1856
+ data_files:
1857
+ - split: train
1858
+ path: "benchmark/5core/last_out/CDs_and_Vinyl.train.csv"
1859
+ - split: validation
1860
+ path: "benchmark/5core/last_out/CDs_and_Vinyl.valid.csv"
1861
+ - split: test
1862
+ path: "benchmark/5core/last_out/CDs_and_Vinyl.test.csv"
1863
+ - config_name: 5core_last_out_Beauty_and_Personal_Care
1864
+ data_files:
1865
+ - split: train
1866
+ path: "benchmark/5core/last_out/Beauty_and_Personal_Care.train.csv"
1867
+ - split: validation
1868
+ path: "benchmark/5core/last_out/Beauty_and_Personal_Care.valid.csv"
1869
+ - split: test
1870
+ path: "benchmark/5core/last_out/Beauty_and_Personal_Care.test.csv"
1871
+ - config_name: 5core_last_out_Amazon_Fashion
1872
+ data_files:
1873
+ - split: train
1874
+ path: "benchmark/5core/last_out/Amazon_Fashion.train.csv"
1875
+ - split: validation
1876
+ path: "benchmark/5core/last_out/Amazon_Fashion.valid.csv"
1877
+ - split: test
1878
+ path: "benchmark/5core/last_out/Amazon_Fashion.test.csv"
1879
+ - config_name: 5core_last_out_Magazine_Subscriptions
1880
+ data_files:
1881
+ - split: train
1882
+ path: "benchmark/5core/last_out/Magazine_Subscriptions.train.csv"
1883
+ - split: validation
1884
+ path: "benchmark/5core/last_out/Magazine_Subscriptions.valid.csv"
1885
+ - split: test
1886
+ path: "benchmark/5core/last_out/Magazine_Subscriptions.test.csv"
1887
+ - config_name: 5core_last_out_Software
1888
+ data_files:
1889
+ - split: train
1890
+ path: "benchmark/5core/last_out/Software.train.csv"
1891
+ - split: validation
1892
+ path: "benchmark/5core/last_out/Software.valid.csv"
1893
+ - split: test
1894
+ path: "benchmark/5core/last_out/Software.test.csv"
1895
+ - config_name: 5core_last_out_Health_and_Personal_Care
1896
+ data_files:
1897
+ - split: train
1898
+ path: "benchmark/5core/last_out/Health_and_Personal_Care.train.csv"
1899
+ - split: validation
1900
+ path: "benchmark/5core/last_out/Health_and_Personal_Care.valid.csv"
1901
+ - split: test
1902
+ path: "benchmark/5core/last_out/Health_and_Personal_Care.test.csv"
1903
+ - config_name: 5core_last_out_Appliances
1904
+ data_files:
1905
+ - split: train
1906
+ path: "benchmark/5core/last_out/Appliances.train.csv"
1907
+ - split: validation
1908
+ path: "benchmark/5core/last_out/Appliances.valid.csv"
1909
+ - split: test
1910
+ path: "benchmark/5core/last_out/Appliances.test.csv"
1911
+ - config_name: 5core_last_out_Movies_and_TV
1912
+ data_files:
1913
+ - split: train
1914
+ path: "benchmark/5core/last_out/Movies_and_TV.train.csv"
1915
+ - split: validation
1916
+ path: "benchmark/5core/last_out/Movies_and_TV.valid.csv"
1917
+ - split: test
1918
+ path: "benchmark/5core/last_out/Movies_and_TV.test.csv"
1919
+ - config_name: 5core_timestamp_All_Beauty
1920
+ data_files:
1921
+ - split: train
1922
+ path: "benchmark/5core/timestamp/All_Beauty.train.csv"
1923
+ - split: validation
1924
+ path: "benchmark/5core/timestamp/All_Beauty.valid.csv"
1925
+ - split: test
1926
+ path: "benchmark/5core/timestamp/All_Beauty.test.csv"
1927
+ - config_name: 5core_timestamp_Toys_and_Games
1928
+ data_files:
1929
+ - split: train
1930
+ path: "benchmark/5core/timestamp/Toys_and_Games.train.csv"
1931
+ - split: validation
1932
+ path: "benchmark/5core/timestamp/Toys_and_Games.valid.csv"
1933
+ - split: test
1934
+ path: "benchmark/5core/timestamp/Toys_and_Games.test.csv"
1935
+ - config_name: 5core_timestamp_Cell_Phones_and_Accessories
1936
+ data_files:
1937
+ - split: train
1938
+ path: "benchmark/5core/timestamp/Cell_Phones_and_Accessories.train.csv"
1939
+ - split: validation
1940
+ path: "benchmark/5core/timestamp/Cell_Phones_and_Accessories.valid.csv"
1941
+ - split: test
1942
+ path: "benchmark/5core/timestamp/Cell_Phones_and_Accessories.test.csv"
1943
+ - config_name: 5core_timestamp_Industrial_and_Scientific
1944
+ data_files:
1945
+ - split: train
1946
+ path: "benchmark/5core/timestamp/Industrial_and_Scientific.train.csv"
1947
+ - split: validation
1948
+ path: "benchmark/5core/timestamp/Industrial_and_Scientific.valid.csv"
1949
+ - split: test
1950
+ path: "benchmark/5core/timestamp/Industrial_and_Scientific.test.csv"
1951
+ - config_name: 5core_timestamp_Gift_Cards
1952
+ data_files:
1953
+ - split: train
1954
+ path: "benchmark/5core/timestamp/Gift_Cards.train.csv"
1955
+ - split: validation
1956
+ path: "benchmark/5core/timestamp/Gift_Cards.valid.csv"
1957
+ - split: test
1958
+ path: "benchmark/5core/timestamp/Gift_Cards.test.csv"
1959
+ - config_name: 5core_timestamp_Musical_Instruments
1960
+ data_files:
1961
+ - split: train
1962
+ path: "benchmark/5core/timestamp/Musical_Instruments.train.csv"
1963
+ - split: validation
1964
+ path: "benchmark/5core/timestamp/Musical_Instruments.valid.csv"
1965
+ - split: test
1966
+ path: "benchmark/5core/timestamp/Musical_Instruments.test.csv"
1967
+ - config_name: 5core_timestamp_Electronics
1968
+ data_files:
1969
+ - split: train
1970
+ path: "benchmark/5core/timestamp/Electronics.train.csv"
1971
+ - split: validation
1972
+ path: "benchmark/5core/timestamp/Electronics.valid.csv"
1973
+ - split: test
1974
+ path: "benchmark/5core/timestamp/Electronics.test.csv"
1975
+ - config_name: 5core_timestamp_Handmade_Products
1976
+ data_files:
1977
+ - split: train
1978
+ path: "benchmark/5core/timestamp/Handmade_Products.train.csv"
1979
+ - split: validation
1980
+ path: "benchmark/5core/timestamp/Handmade_Products.valid.csv"
1981
+ - split: test
1982
+ path: "benchmark/5core/timestamp/Handmade_Products.test.csv"
1983
+ - config_name: 5core_timestamp_Arts_Crafts_and_Sewing
1984
+ data_files:
1985
+ - split: train
1986
+ path: "benchmark/5core/timestamp/Arts_Crafts_and_Sewing.train.csv"
1987
+ - split: validation
1988
+ path: "benchmark/5core/timestamp/Arts_Crafts_and_Sewing.valid.csv"
1989
+ - split: test
1990
+ path: "benchmark/5core/timestamp/Arts_Crafts_and_Sewing.test.csv"
1991
+ - config_name: 5core_timestamp_Baby_Products
1992
+ data_files:
1993
+ - split: train
1994
+ path: "benchmark/5core/timestamp/Baby_Products.train.csv"
1995
+ - split: validation
1996
+ path: "benchmark/5core/timestamp/Baby_Products.valid.csv"
1997
+ - split: test
1998
+ path: "benchmark/5core/timestamp/Baby_Products.test.csv"
1999
+ - config_name: 5core_timestamp_Health_and_Household
2000
+ data_files:
2001
+ - split: train
2002
+ path: "benchmark/5core/timestamp/Health_and_Household.train.csv"
2003
+ - split: validation
2004
+ path: "benchmark/5core/timestamp/Health_and_Household.valid.csv"
2005
+ - split: test
2006
+ path: "benchmark/5core/timestamp/Health_and_Household.test.csv"
2007
+ - config_name: 5core_timestamp_Office_Products
2008
+ data_files:
2009
+ - split: train
2010
+ path: "benchmark/5core/timestamp/Office_Products.train.csv"
2011
+ - split: validation
2012
+ path: "benchmark/5core/timestamp/Office_Products.valid.csv"
2013
+ - split: test
2014
+ path: "benchmark/5core/timestamp/Office_Products.test.csv"
2015
+ - config_name: 5core_timestamp_Digital_Music
2016
+ data_files:
2017
+ - split: train
2018
+ path: "benchmark/5core/timestamp/Digital_Music.train.csv"
2019
+ - split: validation
2020
+ path: "benchmark/5core/timestamp/Digital_Music.valid.csv"
2021
+ - split: test
2022
+ path: "benchmark/5core/timestamp/Digital_Music.test.csv"
2023
+ - config_name: 5core_timestamp_Grocery_and_Gourmet_Food
2024
+ data_files:
2025
+ - split: train
2026
+ path: "benchmark/5core/timestamp/Grocery_and_Gourmet_Food.train.csv"
2027
+ - split: validation
2028
+ path: "benchmark/5core/timestamp/Grocery_and_Gourmet_Food.valid.csv"
2029
+ - split: test
2030
+ path: "benchmark/5core/timestamp/Grocery_and_Gourmet_Food.test.csv"
2031
+ - config_name: 5core_timestamp_Sports_and_Outdoors
2032
+ data_files:
2033
+ - split: train
2034
+ path: "benchmark/5core/timestamp/Sports_and_Outdoors.train.csv"
2035
+ - split: validation
2036
+ path: "benchmark/5core/timestamp/Sports_and_Outdoors.valid.csv"
2037
+ - split: test
2038
+ path: "benchmark/5core/timestamp/Sports_and_Outdoors.test.csv"
2039
+ - config_name: 5core_timestamp_Home_and_Kitchen
2040
+ data_files:
2041
+ - split: train
2042
+ path: "benchmark/5core/timestamp/Home_and_Kitchen.train.csv"
2043
+ - split: validation
2044
+ path: "benchmark/5core/timestamp/Home_and_Kitchen.valid.csv"
2045
+ - split: test
2046
+ path: "benchmark/5core/timestamp/Home_and_Kitchen.test.csv"
2047
+ - config_name: 5core_timestamp_Subscription_Boxes
2048
+ data_files:
2049
+ - split: train
2050
+ path: "benchmark/5core/timestamp/Subscription_Boxes.train.csv"
2051
+ - split: validation
2052
+ path: "benchmark/5core/timestamp/Subscription_Boxes.valid.csv"
2053
+ - split: test
2054
+ path: "benchmark/5core/timestamp/Subscription_Boxes.test.csv"
2055
+ - config_name: 5core_timestamp_Tools_and_Home_Improvement
2056
+ data_files:
2057
+ - split: train
2058
+ path: "benchmark/5core/timestamp/Tools_and_Home_Improvement.train.csv"
2059
+ - split: validation
2060
+ path: "benchmark/5core/timestamp/Tools_and_Home_Improvement.valid.csv"
2061
+ - split: test
2062
+ path: "benchmark/5core/timestamp/Tools_and_Home_Improvement.test.csv"
2063
+ - config_name: 5core_timestamp_Pet_Supplies
2064
+ data_files:
2065
+ - split: train
2066
+ path: "benchmark/5core/timestamp/Pet_Supplies.train.csv"
2067
+ - split: validation
2068
+ path: "benchmark/5core/timestamp/Pet_Supplies.valid.csv"
2069
+ - split: test
2070
+ path: "benchmark/5core/timestamp/Pet_Supplies.test.csv"
2071
+ - config_name: 5core_timestamp_Video_Games
2072
+ data_files:
2073
+ - split: train
2074
+ path: "benchmark/5core/timestamp/Video_Games.train.csv"
2075
+ - split: validation
2076
+ path: "benchmark/5core/timestamp/Video_Games.valid.csv"
2077
+ - split: test
2078
+ path: "benchmark/5core/timestamp/Video_Games.test.csv"
2079
+ - config_name: 5core_timestamp_Kindle_Store
2080
+ data_files:
2081
+ - split: train
2082
+ path: "benchmark/5core/timestamp/Kindle_Store.train.csv"
2083
+ - split: validation
2084
+ path: "benchmark/5core/timestamp/Kindle_Store.valid.csv"
2085
+ - split: test
2086
+ path: "benchmark/5core/timestamp/Kindle_Store.test.csv"
2087
+ - config_name: 5core_timestamp_Clothing_Shoes_and_Jewelry
2088
+ data_files:
2089
+ - split: train
2090
+ path: "benchmark/5core/timestamp/Clothing_Shoes_and_Jewelry.train.csv"
2091
+ - split: validation
2092
+ path: "benchmark/5core/timestamp/Clothing_Shoes_and_Jewelry.valid.csv"
2093
+ - split: test
2094
+ path: "benchmark/5core/timestamp/Clothing_Shoes_and_Jewelry.test.csv"
2095
+ - config_name: 5core_timestamp_Patio_Lawn_and_Garden
2096
+ data_files:
2097
+ - split: train
2098
+ path: "benchmark/5core/timestamp/Patio_Lawn_and_Garden.train.csv"
2099
+ - split: validation
2100
+ path: "benchmark/5core/timestamp/Patio_Lawn_and_Garden.valid.csv"
2101
+ - split: test
2102
+ path: "benchmark/5core/timestamp/Patio_Lawn_and_Garden.test.csv"
2103
+ - config_name: 5core_timestamp_Unknown
2104
+ data_files:
2105
+ - split: train
2106
+ path: "benchmark/5core/timestamp/Unknown.train.csv"
2107
+ - split: validation
2108
+ path: "benchmark/5core/timestamp/Unknown.valid.csv"
2109
+ - split: test
2110
+ path: "benchmark/5core/timestamp/Unknown.test.csv"
2111
+ - config_name: 5core_timestamp_Books
2112
+ data_files:
2113
+ - split: train
2114
+ path: "benchmark/5core/timestamp/Books.train.csv"
2115
+ - split: validation
2116
+ path: "benchmark/5core/timestamp/Books.valid.csv"
2117
+ - split: test
2118
+ path: "benchmark/5core/timestamp/Books.test.csv"
2119
+ - config_name: 5core_timestamp_Automotive
2120
+ data_files:
2121
+ - split: train
2122
+ path: "benchmark/5core/timestamp/Automotive.train.csv"
2123
+ - split: validation
2124
+ path: "benchmark/5core/timestamp/Automotive.valid.csv"
2125
+ - split: test
2126
+ path: "benchmark/5core/timestamp/Automotive.test.csv"
2127
+ - config_name: 5core_timestamp_CDs_and_Vinyl
2128
+ data_files:
2129
+ - split: train
2130
+ path: "benchmark/5core/timestamp/CDs_and_Vinyl.train.csv"
2131
+ - split: validation
2132
+ path: "benchmark/5core/timestamp/CDs_and_Vinyl.valid.csv"
2133
+ - split: test
2134
+ path: "benchmark/5core/timestamp/CDs_and_Vinyl.test.csv"
2135
+ - config_name: 5core_timestamp_Beauty_and_Personal_Care
2136
+ data_files:
2137
+ - split: train
2138
+ path: "benchmark/5core/timestamp/Beauty_and_Personal_Care.train.csv"
2139
+ - split: validation
2140
+ path: "benchmark/5core/timestamp/Beauty_and_Personal_Care.valid.csv"
2141
+ - split: test
2142
+ path: "benchmark/5core/timestamp/Beauty_and_Personal_Care.test.csv"
2143
+ - config_name: 5core_timestamp_Amazon_Fashion
2144
+ data_files:
2145
+ - split: train
2146
+ path: "benchmark/5core/timestamp/Amazon_Fashion.train.csv"
2147
+ - split: validation
2148
+ path: "benchmark/5core/timestamp/Amazon_Fashion.valid.csv"
2149
+ - split: test
2150
+ path: "benchmark/5core/timestamp/Amazon_Fashion.test.csv"
2151
+ - config_name: 5core_timestamp_Magazine_Subscriptions
2152
+ data_files:
2153
+ - split: train
2154
+ path: "benchmark/5core/timestamp/Magazine_Subscriptions.train.csv"
2155
+ - split: validation
2156
+ path: "benchmark/5core/timestamp/Magazine_Subscriptions.valid.csv"
2157
+ - split: test
2158
+ path: "benchmark/5core/timestamp/Magazine_Subscriptions.test.csv"
2159
+ - config_name: 5core_timestamp_Software
2160
+ data_files:
2161
+ - split: train
2162
+ path: "benchmark/5core/timestamp/Software.train.csv"
2163
+ - split: validation
2164
+ path: "benchmark/5core/timestamp/Software.valid.csv"
2165
+ - split: test
2166
+ path: "benchmark/5core/timestamp/Software.test.csv"
2167
+ - config_name: 5core_timestamp_Health_and_Personal_Care
2168
+ data_files:
2169
+ - split: train
2170
+ path: "benchmark/5core/timestamp/Health_and_Personal_Care.train.csv"
2171
+ - split: validation
2172
+ path: "benchmark/5core/timestamp/Health_and_Personal_Care.valid.csv"
2173
+ - split: test
2174
+ path: "benchmark/5core/timestamp/Health_and_Personal_Care.test.csv"
2175
+ - config_name: 5core_timestamp_Appliances
2176
+ data_files:
2177
+ - split: train
2178
+ path: "benchmark/5core/timestamp/Appliances.train.csv"
2179
+ - split: validation
2180
+ path: "benchmark/5core/timestamp/Appliances.valid.csv"
2181
+ - split: test
2182
+ path: "benchmark/5core/timestamp/Appliances.test.csv"
2183
+ - config_name: 5core_timestamp_Movies_and_TV
2184
+ data_files:
2185
+ - split: train
2186
+ path: "benchmark/5core/timestamp/Movies_and_TV.train.csv"
2187
+ - split: validation
2188
+ path: "benchmark/5core/timestamp/Movies_and_TV.valid.csv"
2189
+ - split: test
2190
+ path: "benchmark/5core/timestamp/Movies_and_TV.test.csv"
2191
+ - config_name: 5core_last_out_seq_All_Beauty
2192
+ data_files:
2193
+ - split: train
2194
+ path: "benchmark/5core/last_out_seq/All_Beauty.train.csv"
2195
+ - split: validation
2196
+ path: "benchmark/5core/last_out_seq/All_Beauty.valid.csv"
2197
+ - split: test
2198
+ path: "benchmark/5core/last_out_seq/All_Beauty.test.csv"
2199
+ - config_name: 5core_last_out_seq_Toys_and_Games
2200
+ data_files:
2201
+ - split: train
2202
+ path: "benchmark/5core/last_out_seq/Toys_and_Games.train.csv"
2203
+ - split: validation
2204
+ path: "benchmark/5core/last_out_seq/Toys_and_Games.valid.csv"
2205
+ - split: test
2206
+ path: "benchmark/5core/last_out_seq/Toys_and_Games.test.csv"
2207
+ - config_name: 5core_last_out_seq_Cell_Phones_and_Accessories
2208
+ data_files:
2209
+ - split: train
2210
+ path: "benchmark/5core/last_out_seq/Cell_Phones_and_Accessories.train.csv"
2211
+ - split: validation
2212
+ path: "benchmark/5core/last_out_seq/Cell_Phones_and_Accessories.valid.csv"
2213
+ - split: test
2214
+ path: "benchmark/5core/last_out_seq/Cell_Phones_and_Accessories.test.csv"
2215
+ - config_name: 5core_last_out_seq_Industrial_and_Scientific
2216
+ data_files:
2217
+ - split: train
2218
+ path: "benchmark/5core/last_out_seq/Industrial_and_Scientific.train.csv"
2219
+ - split: validation
2220
+ path: "benchmark/5core/last_out_seq/Industrial_and_Scientific.valid.csv"
2221
+ - split: test
2222
+ path: "benchmark/5core/last_out_seq/Industrial_and_Scientific.test.csv"
2223
+ - config_name: 5core_last_out_seq_Gift_Cards
2224
+ data_files:
2225
+ - split: train
2226
+ path: "benchmark/5core/last_out_seq/Gift_Cards.train.csv"
2227
+ - split: validation
2228
+ path: "benchmark/5core/last_out_seq/Gift_Cards.valid.csv"
2229
+ - split: test
2230
+ path: "benchmark/5core/last_out_seq/Gift_Cards.test.csv"
2231
+ - config_name: 5core_last_out_seq_Musical_Instruments
2232
+ data_files:
2233
+ - split: train
2234
+ path: "benchmark/5core/last_out_seq/Musical_Instruments.train.csv"
2235
+ - split: validation
2236
+ path: "benchmark/5core/last_out_seq/Musical_Instruments.valid.csv"
2237
+ - split: test
2238
+ path: "benchmark/5core/last_out_seq/Musical_Instruments.test.csv"
2239
+ - config_name: 5core_last_out_seq_Electronics
2240
+ data_files:
2241
+ - split: train
2242
+ path: "benchmark/5core/last_out_seq/Electronics.train.csv"
2243
+ - split: validation
2244
+ path: "benchmark/5core/last_out_seq/Electronics.valid.csv"
2245
+ - split: test
2246
+ path: "benchmark/5core/last_out_seq/Electronics.test.csv"
2247
+ - config_name: 5core_last_out_seq_Handmade_Products
2248
+ data_files:
2249
+ - split: train
2250
+ path: "benchmark/5core/last_out_seq/Handmade_Products.train.csv"
2251
+ - split: validation
2252
+ path: "benchmark/5core/last_out_seq/Handmade_Products.valid.csv"
2253
+ - split: test
2254
+ path: "benchmark/5core/last_out_seq/Handmade_Products.test.csv"
2255
+ - config_name: 5core_last_out_seq_Arts_Crafts_and_Sewing
2256
+ data_files:
2257
+ - split: train
2258
+ path: "benchmark/5core/last_out_seq/Arts_Crafts_and_Sewing.train.csv"
2259
+ - split: validation
2260
+ path: "benchmark/5core/last_out_seq/Arts_Crafts_and_Sewing.valid.csv"
2261
+ - split: test
2262
+ path: "benchmark/5core/last_out_seq/Arts_Crafts_and_Sewing.test.csv"
2263
+ - config_name: 5core_last_out_seq_Baby_Products
2264
+ data_files:
2265
+ - split: train
2266
+ path: "benchmark/5core/last_out_seq/Baby_Products.train.csv"
2267
+ - split: validation
2268
+ path: "benchmark/5core/last_out_seq/Baby_Products.valid.csv"
2269
+ - split: test
2270
+ path: "benchmark/5core/last_out_seq/Baby_Products.test.csv"
2271
+ - config_name: 5core_last_out_seq_Health_and_Household
2272
+ data_files:
2273
+ - split: train
2274
+ path: "benchmark/5core/last_out_seq/Health_and_Household.train.csv"
2275
+ - split: validation
2276
+ path: "benchmark/5core/last_out_seq/Health_and_Household.valid.csv"
2277
+ - split: test
2278
+ path: "benchmark/5core/last_out_seq/Health_and_Household.test.csv"
2279
+ - config_name: 5core_last_out_seq_Office_Products
2280
+ data_files:
2281
+ - split: train
2282
+ path: "benchmark/5core/last_out_seq/Office_Products.train.csv"
2283
+ - split: validation
2284
+ path: "benchmark/5core/last_out_seq/Office_Products.valid.csv"
2285
+ - split: test
2286
+ path: "benchmark/5core/last_out_seq/Office_Products.test.csv"
2287
+ - config_name: 5core_last_out_seq_Digital_Music
2288
+ data_files:
2289
+ - split: train
2290
+ path: "benchmark/5core/last_out_seq/Digital_Music.train.csv"
2291
+ - split: validation
2292
+ path: "benchmark/5core/last_out_seq/Digital_Music.valid.csv"
2293
+ - split: test
2294
+ path: "benchmark/5core/last_out_seq/Digital_Music.test.csv"
2295
+ - config_name: 5core_last_out_seq_Grocery_and_Gourmet_Food
2296
+ data_files:
2297
+ - split: train
2298
+ path: "benchmark/5core/last_out_seq/Grocery_and_Gourmet_Food.train.csv"
2299
+ - split: validation
2300
+ path: "benchmark/5core/last_out_seq/Grocery_and_Gourmet_Food.valid.csv"
2301
+ - split: test
2302
+ path: "benchmark/5core/last_out_seq/Grocery_and_Gourmet_Food.test.csv"
2303
+ - config_name: 5core_last_out_seq_Sports_and_Outdoors
2304
+ data_files:
2305
+ - split: train
2306
+ path: "benchmark/5core/last_out_seq/Sports_and_Outdoors.train.csv"
2307
+ - split: validation
2308
+ path: "benchmark/5core/last_out_seq/Sports_and_Outdoors.valid.csv"
2309
+ - split: test
2310
+ path: "benchmark/5core/last_out_seq/Sports_and_Outdoors.test.csv"
2311
+ - config_name: 5core_last_out_seq_Home_and_Kitchen
2312
+ data_files:
2313
+ - split: train
2314
+ path: "benchmark/5core/last_out_seq/Home_and_Kitchen.train.csv"
2315
+ - split: validation
2316
+ path: "benchmark/5core/last_out_seq/Home_and_Kitchen.valid.csv"
2317
+ - split: test
2318
+ path: "benchmark/5core/last_out_seq/Home_and_Kitchen.test.csv"
2319
+ - config_name: 5core_last_out_seq_Subscription_Boxes
2320
+ data_files:
2321
+ - split: train
2322
+ path: "benchmark/5core/last_out_seq/Subscription_Boxes.train.csv"
2323
+ - split: validation
2324
+ path: "benchmark/5core/last_out_seq/Subscription_Boxes.valid.csv"
2325
+ - split: test
2326
+ path: "benchmark/5core/last_out_seq/Subscription_Boxes.test.csv"
2327
+ - config_name: 5core_last_out_seq_Tools_and_Home_Improvement
2328
+ data_files:
2329
+ - split: train
2330
+ path: "benchmark/5core/last_out_seq/Tools_and_Home_Improvement.train.csv"
2331
+ - split: validation
2332
+ path: "benchmark/5core/last_out_seq/Tools_and_Home_Improvement.valid.csv"
2333
+ - split: test
2334
+ path: "benchmark/5core/last_out_seq/Tools_and_Home_Improvement.test.csv"
2335
+ - config_name: 5core_last_out_seq_Pet_Supplies
2336
+ data_files:
2337
+ - split: train
2338
+ path: "benchmark/5core/last_out_seq/Pet_Supplies.train.csv"
2339
+ - split: validation
2340
+ path: "benchmark/5core/last_out_seq/Pet_Supplies.valid.csv"
2341
+ - split: test
2342
+ path: "benchmark/5core/last_out_seq/Pet_Supplies.test.csv"
2343
+ - config_name: 5core_last_out_seq_Video_Games
2344
+ data_files:
2345
+ - split: train
2346
+ path: "benchmark/5core/last_out_seq/Video_Games.train.csv"
2347
+ - split: validation
2348
+ path: "benchmark/5core/last_out_seq/Video_Games.valid.csv"
2349
+ - split: test
2350
+ path: "benchmark/5core/last_out_seq/Video_Games.test.csv"
2351
+ - config_name: 5core_last_out_seq_Kindle_Store
2352
+ data_files:
2353
+ - split: train
2354
+ path: "benchmark/5core/last_out_seq/Kindle_Store.train.csv"
2355
+ - split: validation
2356
+ path: "benchmark/5core/last_out_seq/Kindle_Store.valid.csv"
2357
+ - split: test
2358
+ path: "benchmark/5core/last_out_seq/Kindle_Store.test.csv"
2359
+ - config_name: 5core_last_out_seq_Clothing_Shoes_and_Jewelry
2360
+ data_files:
2361
+ - split: train
2362
+ path: "benchmark/5core/last_out_seq/Clothing_Shoes_and_Jewelry.train.csv"
2363
+ - split: validation
2364
+ path: "benchmark/5core/last_out_seq/Clothing_Shoes_and_Jewelry.valid.csv"
2365
+ - split: test
2366
+ path: "benchmark/5core/last_out_seq/Clothing_Shoes_and_Jewelry.test.csv"
2367
+ - config_name: 5core_last_out_seq_Patio_Lawn_and_Garden
2368
+ data_files:
2369
+ - split: train
2370
+ path: "benchmark/5core/last_out_seq/Patio_Lawn_and_Garden.train.csv"
2371
+ - split: validation
2372
+ path: "benchmark/5core/last_out_seq/Patio_Lawn_and_Garden.valid.csv"
2373
+ - split: test
2374
+ path: "benchmark/5core/last_out_seq/Patio_Lawn_and_Garden.test.csv"
2375
+ - config_name: 5core_last_out_seq_Unknown
2376
+ data_files:
2377
+ - split: train
2378
+ path: "benchmark/5core/last_out_seq/Unknown.train.csv"
2379
+ - split: validation
2380
+ path: "benchmark/5core/last_out_seq/Unknown.valid.csv"
2381
+ - split: test
2382
+ path: "benchmark/5core/last_out_seq/Unknown.test.csv"
2383
+ - config_name: 5core_last_out_seq_Books
2384
+ data_files:
2385
+ - split: train
2386
+ path: "benchmark/5core/last_out_seq/Books.train.csv"
2387
+ - split: validation
2388
+ path: "benchmark/5core/last_out_seq/Books.valid.csv"
2389
+ - split: test
2390
+ path: "benchmark/5core/last_out_seq/Books.test.csv"
2391
+ - config_name: 5core_last_out_seq_Automotive
2392
+ data_files:
2393
+ - split: train
2394
+ path: "benchmark/5core/last_out_seq/Automotive.train.csv"
2395
+ - split: validation
2396
+ path: "benchmark/5core/last_out_seq/Automotive.valid.csv"
2397
+ - split: test
2398
+ path: "benchmark/5core/last_out_seq/Automotive.test.csv"
2399
+ - config_name: 5core_last_out_seq_CDs_and_Vinyl
2400
+ data_files:
2401
+ - split: train
2402
+ path: "benchmark/5core/last_out_seq/CDs_and_Vinyl.train.csv"
2403
+ - split: validation
2404
+ path: "benchmark/5core/last_out_seq/CDs_and_Vinyl.valid.csv"
2405
+ - split: test
2406
+ path: "benchmark/5core/last_out_seq/CDs_and_Vinyl.test.csv"
2407
+ - config_name: 5core_last_out_seq_Beauty_and_Personal_Care
2408
+ data_files:
2409
+ - split: train
2410
+ path: "benchmark/5core/last_out_seq/Beauty_and_Personal_Care.train.csv"
2411
+ - split: validation
2412
+ path: "benchmark/5core/last_out_seq/Beauty_and_Personal_Care.valid.csv"
2413
+ - split: test
2414
+ path: "benchmark/5core/last_out_seq/Beauty_and_Personal_Care.test.csv"
2415
+ - config_name: 5core_last_out_seq_Amazon_Fashion
2416
+ data_files:
2417
+ - split: train
2418
+ path: "benchmark/5core/last_out_seq/Amazon_Fashion.train.csv"
2419
+ - split: validation
2420
+ path: "benchmark/5core/last_out_seq/Amazon_Fashion.valid.csv"
2421
+ - split: test
2422
+ path: "benchmark/5core/last_out_seq/Amazon_Fashion.test.csv"
2423
+ - config_name: 5core_last_out_seq_Magazine_Subscriptions
2424
+ data_files:
2425
+ - split: train
2426
+ path: "benchmark/5core/last_out_seq/Magazine_Subscriptions.train.csv"
2427
+ - split: validation
2428
+ path: "benchmark/5core/last_out_seq/Magazine_Subscriptions.valid.csv"
2429
+ - split: test
2430
+ path: "benchmark/5core/last_out_seq/Magazine_Subscriptions.test.csv"
2431
+ - config_name: 5core_last_out_seq_Software
2432
+ data_files:
2433
+ - split: train
2434
+ path: "benchmark/5core/last_out_seq/Software.train.csv"
2435
+ - split: validation
2436
+ path: "benchmark/5core/last_out_seq/Software.valid.csv"
2437
+ - split: test
2438
+ path: "benchmark/5core/last_out_seq/Software.test.csv"
2439
+ - config_name: 5core_last_out_seq_Health_and_Personal_Care
2440
+ data_files:
2441
+ - split: train
2442
+ path: "benchmark/5core/last_out_seq/Health_and_Personal_Care.train.csv"
2443
+ - split: validation
2444
+ path: "benchmark/5core/last_out_seq/Health_and_Personal_Care.valid.csv"
2445
+ - split: test
2446
+ path: "benchmark/5core/last_out_seq/Health_and_Personal_Care.test.csv"
2447
+ - config_name: 5core_last_out_seq_Appliances
2448
+ data_files:
2449
+ - split: train
2450
+ path: "benchmark/5core/last_out_seq/Appliances.train.csv"
2451
+ - split: validation
2452
+ path: "benchmark/5core/last_out_seq/Appliances.valid.csv"
2453
+ - split: test
2454
+ path: "benchmark/5core/last_out_seq/Appliances.test.csv"
2455
+ - config_name: 5core_last_out_seq_Movies_and_TV
2456
+ data_files:
2457
+ - split: train
2458
+ path: "benchmark/5core/last_out_seq/Movies_and_TV.train.csv"
2459
+ - split: validation
2460
+ path: "benchmark/5core/last_out_seq/Movies_and_TV.valid.csv"
2461
+ - split: test
2462
+ path: "benchmark/5core/last_out_seq/Movies_and_TV.test.csv"
2463
+ - config_name: 5core_timestamp_seq_All_Beauty
2464
+ data_files:
2465
+ - split: train
2466
+ path: "benchmark/5core/timestamp_seq/All_Beauty.train.csv"
2467
+ - split: validation
2468
+ path: "benchmark/5core/timestamp_seq/All_Beauty.valid.csv"
2469
+ - split: test
2470
+ path: "benchmark/5core/timestamp_seq/All_Beauty.test.csv"
2471
+ - config_name: 5core_timestamp_seq_Toys_and_Games
2472
+ data_files:
2473
+ - split: train
2474
+ path: "benchmark/5core/timestamp_seq/Toys_and_Games.train.csv"
2475
+ - split: validation
2476
+ path: "benchmark/5core/timestamp_seq/Toys_and_Games.valid.csv"
2477
+ - split: test
2478
+ path: "benchmark/5core/timestamp_seq/Toys_and_Games.test.csv"
2479
+ - config_name: 5core_timestamp_seq_Cell_Phones_and_Accessories
2480
+ data_files:
2481
+ - split: train
2482
+ path: "benchmark/5core/timestamp_seq/Cell_Phones_and_Accessories.train.csv"
2483
+ - split: validation
2484
+ path: "benchmark/5core/timestamp_seq/Cell_Phones_and_Accessories.valid.csv"
2485
+ - split: test
2486
+ path: "benchmark/5core/timestamp_seq/Cell_Phones_and_Accessories.test.csv"
2487
+ - config_name: 5core_timestamp_seq_Industrial_and_Scientific
2488
+ data_files:
2489
+ - split: train
2490
+ path: "benchmark/5core/timestamp_seq/Industrial_and_Scientific.train.csv"
2491
+ - split: validation
2492
+ path: "benchmark/5core/timestamp_seq/Industrial_and_Scientific.valid.csv"
2493
+ - split: test
2494
+ path: "benchmark/5core/timestamp_seq/Industrial_and_Scientific.test.csv"
2495
+ - config_name: 5core_timestamp_seq_Gift_Cards
2496
+ data_files:
2497
+ - split: train
2498
+ path: "benchmark/5core/timestamp_seq/Gift_Cards.train.csv"
2499
+ - split: validation
2500
+ path: "benchmark/5core/timestamp_seq/Gift_Cards.valid.csv"
2501
+ - split: test
2502
+ path: "benchmark/5core/timestamp_seq/Gift_Cards.test.csv"
2503
+ - config_name: 5core_timestamp_seq_Musical_Instruments
2504
+ data_files:
2505
+ - split: train
2506
+ path: "benchmark/5core/timestamp_seq/Musical_Instruments.train.csv"
2507
+ - split: validation
2508
+ path: "benchmark/5core/timestamp_seq/Musical_Instruments.valid.csv"
2509
+ - split: test
2510
+ path: "benchmark/5core/timestamp_seq/Musical_Instruments.test.csv"
2511
+ - config_name: 5core_timestamp_seq_Electronics
2512
+ data_files:
2513
+ - split: train
2514
+ path: "benchmark/5core/timestamp_seq/Electronics.train.csv"
2515
+ - split: validation
2516
+ path: "benchmark/5core/timestamp_seq/Electronics.valid.csv"
2517
+ - split: test
2518
+ path: "benchmark/5core/timestamp_seq/Electronics.test.csv"
2519
+ - config_name: 5core_timestamp_seq_Handmade_Products
2520
+ data_files:
2521
+ - split: train
2522
+ path: "benchmark/5core/timestamp_seq/Handmade_Products.train.csv"
2523
+ - split: validation
2524
+ path: "benchmark/5core/timestamp_seq/Handmade_Products.valid.csv"
2525
+ - split: test
2526
+ path: "benchmark/5core/timestamp_seq/Handmade_Products.test.csv"
2527
+ - config_name: 5core_timestamp_seq_Arts_Crafts_and_Sewing
2528
+ data_files:
2529
+ - split: train
2530
+ path: "benchmark/5core/timestamp_seq/Arts_Crafts_and_Sewing.train.csv"
2531
+ - split: validation
2532
+ path: "benchmark/5core/timestamp_seq/Arts_Crafts_and_Sewing.valid.csv"
2533
+ - split: test
2534
+ path: "benchmark/5core/timestamp_seq/Arts_Crafts_and_Sewing.test.csv"
2535
+ - config_name: 5core_timestamp_seq_Baby_Products
2536
+ data_files:
2537
+ - split: train
2538
+ path: "benchmark/5core/timestamp_seq/Baby_Products.train.csv"
2539
+ - split: validation
2540
+ path: "benchmark/5core/timestamp_seq/Baby_Products.valid.csv"
2541
+ - split: test
2542
+ path: "benchmark/5core/timestamp_seq/Baby_Products.test.csv"
2543
+ - config_name: 5core_timestamp_seq_Health_and_Household
2544
+ data_files:
2545
+ - split: train
2546
+ path: "benchmark/5core/timestamp_seq/Health_and_Household.train.csv"
2547
+ - split: validation
2548
+ path: "benchmark/5core/timestamp_seq/Health_and_Household.valid.csv"
2549
+ - split: test
2550
+ path: "benchmark/5core/timestamp_seq/Health_and_Household.test.csv"
2551
+ - config_name: 5core_timestamp_seq_Office_Products
2552
+ data_files:
2553
+ - split: train
2554
+ path: "benchmark/5core/timestamp_seq/Office_Products.train.csv"
2555
+ - split: validation
2556
+ path: "benchmark/5core/timestamp_seq/Office_Products.valid.csv"
2557
+ - split: test
2558
+ path: "benchmark/5core/timestamp_seq/Office_Products.test.csv"
2559
+ - config_name: 5core_timestamp_seq_Digital_Music
2560
+ data_files:
2561
+ - split: train
2562
+ path: "benchmark/5core/timestamp_seq/Digital_Music.train.csv"
2563
+ - split: validation
2564
+ path: "benchmark/5core/timestamp_seq/Digital_Music.valid.csv"
2565
+ - split: test
2566
+ path: "benchmark/5core/timestamp_seq/Digital_Music.test.csv"
2567
+ - config_name: 5core_timestamp_seq_Grocery_and_Gourmet_Food
2568
+ data_files:
2569
+ - split: train
2570
+ path: "benchmark/5core/timestamp_seq/Grocery_and_Gourmet_Food.train.csv"
2571
+ - split: validation
2572
+ path: "benchmark/5core/timestamp_seq/Grocery_and_Gourmet_Food.valid.csv"
2573
+ - split: test
2574
+ path: "benchmark/5core/timestamp_seq/Grocery_and_Gourmet_Food.test.csv"
2575
+ - config_name: 5core_timestamp_seq_Sports_and_Outdoors
2576
+ data_files:
2577
+ - split: train
2578
+ path: "benchmark/5core/timestamp_seq/Sports_and_Outdoors.train.csv"
2579
+ - split: validation
2580
+ path: "benchmark/5core/timestamp_seq/Sports_and_Outdoors.valid.csv"
2581
+ - split: test
2582
+ path: "benchmark/5core/timestamp_seq/Sports_and_Outdoors.test.csv"
2583
+ - config_name: 5core_timestamp_seq_Home_and_Kitchen
2584
+ data_files:
2585
+ - split: train
2586
+ path: "benchmark/5core/timestamp_seq/Home_and_Kitchen.train.csv"
2587
+ - split: validation
2588
+ path: "benchmark/5core/timestamp_seq/Home_and_Kitchen.valid.csv"
2589
+ - split: test
2590
+ path: "benchmark/5core/timestamp_seq/Home_and_Kitchen.test.csv"
2591
+ - config_name: 5core_timestamp_seq_Subscription_Boxes
2592
+ data_files:
2593
+ - split: train
2594
+ path: "benchmark/5core/timestamp_seq/Subscription_Boxes.train.csv"
2595
+ - split: validation
2596
+ path: "benchmark/5core/timestamp_seq/Subscription_Boxes.valid.csv"
2597
+ - split: test
2598
+ path: "benchmark/5core/timestamp_seq/Subscription_Boxes.test.csv"
2599
+ - config_name: 5core_timestamp_seq_Tools_and_Home_Improvement
2600
+ data_files:
2601
+ - split: train
2602
+ path: "benchmark/5core/timestamp_seq/Tools_and_Home_Improvement.train.csv"
2603
+ - split: validation
2604
+ path: "benchmark/5core/timestamp_seq/Tools_and_Home_Improvement.valid.csv"
2605
+ - split: test
2606
+ path: "benchmark/5core/timestamp_seq/Tools_and_Home_Improvement.test.csv"
2607
+ - config_name: 5core_timestamp_seq_Pet_Supplies
2608
+ data_files:
2609
+ - split: train
2610
+ path: "benchmark/5core/timestamp_seq/Pet_Supplies.train.csv"
2611
+ - split: validation
2612
+ path: "benchmark/5core/timestamp_seq/Pet_Supplies.valid.csv"
2613
+ - split: test
2614
+ path: "benchmark/5core/timestamp_seq/Pet_Supplies.test.csv"
2615
+ - config_name: 5core_timestamp_seq_Video_Games
2616
+ data_files:
2617
+ - split: train
2618
+ path: "benchmark/5core/timestamp_seq/Video_Games.train.csv"
2619
+ - split: validation
2620
+ path: "benchmark/5core/timestamp_seq/Video_Games.valid.csv"
2621
+ - split: test
2622
+ path: "benchmark/5core/timestamp_seq/Video_Games.test.csv"
2623
+ - config_name: 5core_timestamp_seq_Kindle_Store
2624
+ data_files:
2625
+ - split: train
2626
+ path: "benchmark/5core/timestamp_seq/Kindle_Store.train.csv"
2627
+ - split: validation
2628
+ path: "benchmark/5core/timestamp_seq/Kindle_Store.valid.csv"
2629
+ - split: test
2630
+ path: "benchmark/5core/timestamp_seq/Kindle_Store.test.csv"
2631
+ - config_name: 5core_timestamp_seq_Clothing_Shoes_and_Jewelry
2632
+ data_files:
2633
+ - split: train
2634
+ path: "benchmark/5core/timestamp_seq/Clothing_Shoes_and_Jewelry.train.csv"
2635
+ - split: validation
2636
+ path: "benchmark/5core/timestamp_seq/Clothing_Shoes_and_Jewelry.valid.csv"
2637
+ - split: test
2638
+ path: "benchmark/5core/timestamp_seq/Clothing_Shoes_and_Jewelry.test.csv"
2639
+ - config_name: 5core_timestamp_seq_Patio_Lawn_and_Garden
2640
+ data_files:
2641
+ - split: train
2642
+ path: "benchmark/5core/timestamp_seq/Patio_Lawn_and_Garden.train.csv"
2643
+ - split: validation
2644
+ path: "benchmark/5core/timestamp_seq/Patio_Lawn_and_Garden.valid.csv"
2645
+ - split: test
2646
+ path: "benchmark/5core/timestamp_seq/Patio_Lawn_and_Garden.test.csv"
2647
+ - config_name: 5core_timestamp_seq_Unknown
2648
+ data_files:
2649
+ - split: train
2650
+ path: "benchmark/5core/timestamp_seq/Unknown.train.csv"
2651
+ - split: validation
2652
+ path: "benchmark/5core/timestamp_seq/Unknown.valid.csv"
2653
+ - split: test
2654
+ path: "benchmark/5core/timestamp_seq/Unknown.test.csv"
2655
+ - config_name: 5core_timestamp_seq_Books
2656
+ data_files:
2657
+ - split: train
2658
+ path: "benchmark/5core/timestamp_seq/Books.train.csv"
2659
+ - split: validation
2660
+ path: "benchmark/5core/timestamp_seq/Books.valid.csv"
2661
+ - split: test
2662
+ path: "benchmark/5core/timestamp_seq/Books.test.csv"
2663
+ - config_name: 5core_timestamp_seq_Automotive
2664
+ data_files:
2665
+ - split: train
2666
+ path: "benchmark/5core/timestamp_seq/Automotive.train.csv"
2667
+ - split: validation
2668
+ path: "benchmark/5core/timestamp_seq/Automotive.valid.csv"
2669
+ - split: test
2670
+ path: "benchmark/5core/timestamp_seq/Automotive.test.csv"
2671
+ - config_name: 5core_timestamp_seq_CDs_and_Vinyl
2672
+ data_files:
2673
+ - split: train
2674
+ path: "benchmark/5core/timestamp_seq/CDs_and_Vinyl.train.csv"
2675
+ - split: validation
2676
+ path: "benchmark/5core/timestamp_seq/CDs_and_Vinyl.valid.csv"
2677
+ - split: test
2678
+ path: "benchmark/5core/timestamp_seq/CDs_and_Vinyl.test.csv"
2679
+ - config_name: 5core_timestamp_seq_Beauty_and_Personal_Care
2680
+ data_files:
2681
+ - split: train
2682
+ path: "benchmark/5core/timestamp_seq/Beauty_and_Personal_Care.train.csv"
2683
+ - split: validation
2684
+ path: "benchmark/5core/timestamp_seq/Beauty_and_Personal_Care.valid.csv"
2685
+ - split: test
2686
+ path: "benchmark/5core/timestamp_seq/Beauty_and_Personal_Care.test.csv"
2687
+ - config_name: 5core_timestamp_seq_Amazon_Fashion
2688
+ data_files:
2689
+ - split: train
2690
+ path: "benchmark/5core/timestamp_seq/Amazon_Fashion.train.csv"
2691
+ - split: validation
2692
+ path: "benchmark/5core/timestamp_seq/Amazon_Fashion.valid.csv"
2693
+ - split: test
2694
+ path: "benchmark/5core/timestamp_seq/Amazon_Fashion.test.csv"
2695
+ - config_name: 5core_timestamp_seq_Magazine_Subscriptions
2696
+ data_files:
2697
+ - split: train
2698
+ path: "benchmark/5core/timestamp_seq/Magazine_Subscriptions.train.csv"
2699
+ - split: validation
2700
+ path: "benchmark/5core/timestamp_seq/Magazine_Subscriptions.valid.csv"
2701
+ - split: test
2702
+ path: "benchmark/5core/timestamp_seq/Magazine_Subscriptions.test.csv"
2703
+ - config_name: 5core_timestamp_seq_Software
2704
+ data_files:
2705
+ - split: train
2706
+ path: "benchmark/5core/timestamp_seq/Software.train.csv"
2707
+ - split: validation
2708
+ path: "benchmark/5core/timestamp_seq/Software.valid.csv"
2709
+ - split: test
2710
+ path: "benchmark/5core/timestamp_seq/Software.test.csv"
2711
+ - config_name: 5core_timestamp_seq_Health_and_Personal_Care
2712
+ data_files:
2713
+ - split: train
2714
+ path: "benchmark/5core/timestamp_seq/Health_and_Personal_Care.train.csv"
2715
+ - split: validation
2716
+ path: "benchmark/5core/timestamp_seq/Health_and_Personal_Care.valid.csv"
2717
+ - split: test
2718
+ path: "benchmark/5core/timestamp_seq/Health_and_Personal_Care.test.csv"
2719
+ - config_name: 5core_timestamp_seq_Appliances
2720
+ data_files:
2721
+ - split: train
2722
+ path: "benchmark/5core/timestamp_seq/Appliances.train.csv"
2723
+ - split: validation
2724
+ path: "benchmark/5core/timestamp_seq/Appliances.valid.csv"
2725
+ - split: test
2726
+ path: "benchmark/5core/timestamp_seq/Appliances.test.csv"
2727
+ - config_name: 5core_timestamp_seq_Movies_and_TV
2728
+ data_files:
2729
+ - split: train
2730
+ path: "benchmark/5core/timestamp_seq/Movies_and_TV.train.csv"
2731
+ - split: validation
2732
+ path: "benchmark/5core/timestamp_seq/Movies_and_TV.valid.csv"
2733
+ - split: test
2734
+ path: "benchmark/5core/timestamp_seq/Movies_and_TV.test.csv"
2735
  ---