Upload folder using huggingface_hub

README.md

@@ -1,31 +0,0 @@
----
-language:
-- en
-pretty_name: TJDNet
-
-configs:
-- config_name: gpt2_gsm8k
-  data_files:
-  - split: train
-    path: "gpt2_gsm8k/train.jsonl"
-  - split: test
-    path: "gpt2_gsm8k/test.jsonl"
-- config_name: gpt2_poem
-  data_files:
-  - split: train
-    path: "gpt2_poem/train.jsonl"
-  - split: test
-    path: "gpt2_poem/test.jsonl"
-- config_name: gpt2_newline
-  data_files:
-  - split: train
-    path: "gpt2_newline/train.jsonl"
-  - split: test
-    path: "gpt2_newline/test.jsonl"
-- config_name: gpt2_space
-  data_files:
-  - split: train
-    path: "gpt2_space/train.jsonl"
-  - split: test
-    path: "gpt2_space/test.jsonl"
----

gpt2_gsm8k/test.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:373d0be28dab3b706e5797f2f4f15172afd91afd5cc2b3cb2bbe55ea27106961
+oid sha256:9cca856cfb6704244e9a276a18fe7633f555245015afe4a8d7af123717b6666a
 size 916

gpt2_gsm8k/train.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:062722f5deffe0020ecbc6accc47162c934fd864700607f4bdb900669f1eb29c
+oid sha256:7ccbeca765a52c08bdf906d3d48c5067ade9ba2749affcd1509fb35b718007e2
 size 920

gpt2_newline/test.jsonl

@@ -1,32 +1,32 @@
-{"id": 0, "x": [198], "x_decoded": "\n", "y": [1892, 45728, 18145, 29253], "y_decoded": " Not Efficiency bru Anch", "py|x": 1.4691502677588736e-25}
-{"id": 1, "x": [198], "x_decoded": "\n", "y": [46291, 17854, 37327, 12684], "y_decoded": " fatigIndeed swollen organisation", "py|x": 1.9053043180184423e-28}
-{"id": 2, "x": [198], "x_decoded": "\n", "y": [48013, 44030, 33457, 24037], "y_decoded": "particip molten undisclosed Bengals", "py|x": 6.031464080972661e-27}
-{"id": 3, "x": [198], "x_decoded": "\n", "y": [43569, 32208, 15175, 40093], "y_decoded": "\u00cd\u00cd mobs stiffnear", "py|x": 1.2623813831053015e-33}
-{"id": 4, "x": [198], "x_decoded": "\n", "y": [5355, 13036, 10206, 6707], "y_decoded": "gersttesAK Hy", "py|x": 4.772264927662898e-24}
-{"id": 5, "x": [198], "x_decoded": "\n", "y": [4474, 39790, 8746, 39286], "y_decoded": " establish Hik burdTorrent", "py|x": 5.865003163280853e-29}
-{"id": 6, "x": [198], "x_decoded": "\n", "y": [33492, 38570, 9356, 4515], "y_decoded": "ographs VOL Doctor nom", "py|x": 1.9809273545469817e-24}
-{"id": 7, "x": [198], "x_decoded": "\n", "y": [12218, 23005, 18398, 45864], "y_decoded": "General mutations partition Chips", "py|x": 1.052660346439115e-22}
-{"id": 8, "x": [198], "x_decoded": "\n", "y": [9853, 37663, 29498, 22101], "y_decoded": " counts vaccinatedproducts bronze", "py|x": 2.4495520858160286e-26}
-{"id": 9, "x": [198], "x_decoded": "\n", "y": [44360, 21787, 2184, 38640], "y_decoded": " triangles granting court binaries", "py|x": 4.7825977359482736e-26}
-{"id": 10, "x": [198], "x_decoded": "\n", "y": [42568, 21845, 6726, 14080], "y_decoded": "urden smilesfriend purchasing", "py|x": 7.714538111232555e-27}
-{"id": 11, "x": [198], "x_decoded": "\n", "y": [42125, 11562, 11819, 22450], "y_decoded": " Plymouth flee Building Xia", "py|x": 3.468728290909446e-24}
-{"id": 12, "x": [198], "x_decoded": "\n", "y": [24150, 30676, 47903, 37978], "y_decoded": " branding plur\u05bcbidden", "py|x": 9.712736747149475e-29}
-{"id": 13, "x": [198], "x_decoded": "\n", "y": [11467, 10932, 1421, 13029], "y_decoded": " referendumshire==== unprecedented", "py|x": 1.3595018143843001e-27}
-{"id": 14, "x": [198], "x_decoded": "\n", "y": [29245, 49699, 41972, 41969], "y_decoded": " Reaper lacedCreated Readers", "py|x": 6.727134267676754e-29}
-{"id": 15, "x": [198], "x_decoded": "\n", "y": [4754, 20109, 46866, 12843], "y_decoded": "ulf ignorant *.isible", "py|x": 4.3978670060948e-25}
-{"id": 16, "x": [198], "x_decoded": "\n", "y": [40742, 46999, 22357, 23286], "y_decoded": " Catergpu cavBi", "py|x": 1.3078533575825306e-25}
-{"id": 17, "x": [198], "x_decoded": "\n", "y": [4477, 28821, 33085, 44407], "y_decoded": " continuesJac Offerheartedly", "py|x": 3.1560560666063624e-27}
-{"id": 18, "x": [198], "x_decoded": "\n", "y": [37701, 33761, 26715, 16431], "y_decoded": "LGBT ]) Warhammer Nine", "py|x": 7.66267771123301e-24}
-{"id": 19, "x": [198], "x_decoded": "\n", "y": [24519, 48432, 31492, 14124], "y_decoded": " hid Moons Revisedizards", "py|x": 4.372248085677847e-28}
-{"id": 20, "x": [198], "x_decoded": "\n", "y": [22670, 48223, 6391, 37703], "y_decoded": " stripsPiehew Sections", "py|x": 2.3288352591250233e-26}
-{"id": 21, "x": [198], "x_decoded": "\n", "y": [2370, 28131, 38893, 49208], "y_decoded": " evidence militar hysteria Serving", "py|x": 3.1074808778466097e-26}
-{"id": 22, "x": [198], "x_decoded": "\n", "y": [41038, 17405, 15923, 6914], "y_decoded": " dormant\\. AA Click", "py|x": 7.734146931524223e-24}
-{"id": 23, "x": [198], "x_decoded": "\n", "y": [11840, 2777, 35208, 30819], "y_decoded": "hrsp MOR chast", "py|x": 1.0639712865336635e-22}
-{"id": 24, "x": [198], "x_decoded": "\n", "y": [29772, 45817, 48886, 6796], "y_decoded": " Myr ashore Angelo GOP", "py|x": 7.768768446606611e-27}
-{"id": 25, "x": [198], "x_decoded": "\n", "y": [19251, 40290, 49550, 27324], "y_decoded": " fattyprefix aspirin strengthened", "py|x": 8.725635462373112e-26}
-{"id": 26, "x": [198], "x_decoded": "\n", "y": [5262, 33592, 18706, 17982], "y_decoded": " attend bred Baghd conting", "py|x": 5.790710415676115e-29}
-{"id": 27, "x": [198], "x_decoded": "\n", "y": [37805, 1156, 18681, 800], "y_decoded": "framesrent explanations inv", "py|x": 9.112603660598777e-25}
-{"id": 28, "x": [198], "x_decoded": "\n", "y": [35451, 44404, 46390, 21151], "y_decoded": " Magnus motel lum damp", "py|x": 2.310187057252505e-27}
-{"id": 29, "x": [198], "x_decoded": "\n", "y": [47099, 18764, 36008, 48393], "y_decoded": " BaziblesquartCharacters", "py|x": 1.578094362330466e-26}
-{"id": 30, "x": [198], "x_decoded": "\n", "y": [38432, 47687, 25030, 34165], "y_decoded": "Vi cowardly awe docs", "py|x": 6.872928548632719e-24}
-{"id": 31, "x": [198], "x_decoded": "\n", "y": [21595, 46184, 7968, 22784], "y_decoded": " transm learners county(),", "py|x": 2.7472664581094885e-27}
+{"id": 0, "x": [198], "x_decoded": "\n", "y": [19, 13, 16, 198], "y_decoded": "4.1\n", "py|x": 6.268191441449744e-07}
+{"id": 1, "x": [198], "x_decoded": "\n", "y": [198, 34, 5691, 329], "y_decoded": "\nCalls for", "py|x": 2.064064574369695e-06}
+{"id": 2, "x": [198], "x_decoded": "\n", "y": [198, 1870, 355, 329], "y_decoded": "\nAnd as for", "py|x": 3.7589309158647666e-06}
+{"id": 3, "x": [198], "x_decoded": "\n", "y": [1135, 821, 691, 287], "y_decoded": "We're only in", "py|x": 2.4225277783784804e-08}
+{"id": 4, "x": [198], "x_decoded": "\n", "y": [2514, 2221, 11, 1309], "y_decoded": "To begin, let", "py|x": 4.89955198190728e-07}
+{"id": 5, "x": [198], "x_decoded": "\n", "y": [20, 13, 2094, 470], "y_decoded": "5. Don't", "py|x": 5.709321612812346e-06}
+{"id": 6, "x": [198], "x_decoded": "\n", "y": [16, 11, 4059, 198], "y_decoded": "1,500\n", "py|x": 3.9734666756885417e-07}
+{"id": 7, "x": [198], "x_decoded": "\n", "y": [198, 32, 1916, 318], "y_decoded": "\nAmber is", "py|x": 2.942468597666448e-07}
+{"id": 8, "x": [198], "x_decoded": "\n", "y": [198, 1, 3844, 11], "y_decoded": "\n\"Now,", "py|x": 1.2389426046865992e-05}
+{"id": 9, "x": [198], "x_decoded": "\n", "y": [198, 16, 764, 357], "y_decoded": "\n1 . (", "py|x": 1.293994333906312e-08}
+{"id": 10, "x": [198], "x_decoded": "\n", "y": [198, 1639, 460, 779], "y_decoded": "\nYou can use", "py|x": 1.8604170691105537e-05}
+{"id": 11, "x": [198], "x_decoded": "\n", "y": [198, 9, 1002, 345], "y_decoded": "\n* If you", "py|x": 3.025179239557474e-06}
+{"id": 12, "x": [198], "x_decoded": "\n", "y": [198, 1870, 314, 1053], "y_decoded": "\nAnd I've", "py|x": 1.1362096756784013e-06}
+{"id": 13, "x": [198], "x_decoded": "\n", "y": [198, 33, 1156, 338], "y_decoded": "\nBrent's", "py|x": 1.0636418323883845e-07}
+{"id": 14, "x": [198], "x_decoded": "\n", "y": [198, 40, 373, 845], "y_decoded": "\nI was very", "py|x": 2.3586180759593844e-06}
+{"id": 15, "x": [198], "x_decoded": "\n", "y": [198, 464, 1748, 338], "y_decoded": "\nThe city's", "py|x": 6.676966222585179e-06}
+{"id": 16, "x": [198], "x_decoded": "\n", "y": [198, 49, 280, 21348], "y_decoded": "\nRoulette", "py|x": 6.962232532714552e-07}
+{"id": 17, "x": [198], "x_decoded": "\n", "y": [33, 37279, 5030, 11], "y_decoded": "Boris Johnson,", "py|x": 1.8611955283631687e-06}
+{"id": 18, "x": [198], "x_decoded": "\n", "y": [40, 1464, 550, 262], "y_decoded": "I always had the", "py|x": 2.482700551809103e-07}
+{"id": 19, "x": [198], "x_decoded": "\n", "y": [1, 464, 1306, 1517], "y_decoded": "\"The next thing", "py|x": 3.735228233381349e-07}
+{"id": 20, "x": [198], "x_decoded": "\n", "y": [198, 1, 1026, 338], "y_decoded": "\n\"It's", "py|x": 0.0003467263013590127}
+{"id": 21, "x": [198], "x_decoded": "\n", "y": [1, 40, 836, 470], "y_decoded": "\"I don't", "py|x": 0.00025269234902225435}
+{"id": 22, "x": [198], "x_decoded": "\n", "y": [198, 1026, 338, 5340], "y_decoded": "\nIt's impossible", "py|x": 3.938176632800605e-06}
+{"id": 23, "x": [198], "x_decoded": "\n", "y": [47, 23439, 257, 4038], "y_decoded": "Pilot a vehicle", "py|x": 8.153489550188908e-10}
+{"id": 24, "x": [198], "x_decoded": "\n", "y": [198, 1858, 318, 2147], "y_decoded": "\nThere is nothing", "py|x": 8.419379810220562e-06}
+{"id": 25, "x": [198], "x_decoded": "\n", "y": [13, 198, 198, 13], "y_decoded": ".\n\n.", "py|x": 0.0011213403195142746}
+{"id": 26, "x": [198], "x_decoded": "\n", "y": [464, 1306, 5270, 286], "y_decoded": "The next generation of", "py|x": 4.4616209038395027e-07}
+{"id": 27, "x": [198], "x_decoded": "\n", "y": [32, 1285, 706, 262], "y_decoded": "A week after the", "py|x": 2.0315551410021726e-06}
+{"id": 28, "x": [198], "x_decoded": "\n", "y": [1026, 2492, 470, 1566], "y_decoded": "It wasn't until", "py|x": 1.62957985594403e-05}
+{"id": 29, "x": [198], "x_decoded": "\n", "y": [198, 2215, 673, 1043], "y_decoded": "\nWhen she found", "py|x": 1.9323631761380966e-07}
+{"id": 30, "x": [198], "x_decoded": "\n", "y": [198, 40, 373, 287], "y_decoded": "\nI was in", "py|x": 3.267728288847138e-06}
+{"id": 31, "x": [198], "x_decoded": "\n", "y": [198, 44, 14234, 293], "y_decoded": "\nMichele", "py|x": 7.033226665953407e-06}

gpt2_newline/test.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c18461ebda7a908d5cb996c1177573bd0943d3dc90840dead9ddea2ca315a809
+oid sha256:f6fc069cf6baa80e193eeb745a4bac2d020c34b1df39456c2359de50bb820599
 size 916

gpt2_newline/train.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:49f31009afd901bfe3302b676a76ef6de43c35b52fa63ea84568795c092f6969
+oid sha256:60e80c68d7d9f0126440ae7b4819fb26793b9e3f61b17dbe7a1f4b8b6355a66e
 size 920

gpt2_poem/test.jsonl

@@ -1,32 +1,32 @@
-{"id": 0, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [1050, 39308, 1560, 35243], "y_decoded": "prsav tell Jihad", "py|x": 1.1020516219125991e-23}
-{"id": 1, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [33290, 8962, 2351, 18468], "y_decoded": " CAL Senator National PE", "py|x": 7.647884675993943e-23}
-{"id": 2, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [43960, 22296, 20213, 24195], "y_decoded": "CENTgb pestic judgments", "py|x": 9.711767185890732e-34}
-{"id": 3, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [10905, 27284, 28771, 41236], "y_decoded": " ghost cosmetic399 strawberry", "py|x": 3.2055335920636593e-27}
-{"id": 4, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [19838, 9295, 15936, 33762], "y_decoded": " sciences Sac moldFill", "py|x": 7.668330688479824e-24}
-{"id": 5, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [14052, 25656, 31659, 38447], "y_decoded": " motivation Rhodes adip circumference", "py|x": 1.298104828871812e-28}
-{"id": 6, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [40787, 37661, 43350, 29855], "y_decoded": " tacit categorizedticket Gingrich", "py|x": 1.0039090391050753e-28}
-{"id": 7, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [9374, 38319, 45091, 35168], "y_decoded": "bn dissect ja fax", "py|x": 1.8141146303137203e-24}
-{"id": 8, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [14012, 49345, 7260, 6487], "y_decoded": "tarianwxescription laugh", "py|x": 7.411284054533297e-31}
-{"id": 9, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [40515, 19441, 1516, 29537], "y_decoded": " Foss induleng coral", "py|x": 2.323656596004905e-29}
-{"id": 10, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [41011, 45525, 8877, 11620], "y_decoded": " Dyingtogether Moore leather", "py|x": 4.823780916691976e-28}
-{"id": 11, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [17303, 31976, 49647, 48661], "y_decoded": " Armen trusts bolted heroism", "py|x": 1.4613240777049565e-30}
-{"id": 12, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [22585, 731, 32144, 48037], "y_decoded": "icularly bet Steps flora", "py|x": 6.936718947568704e-26}
-{"id": 13, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [17741, 37544, 24610, 26214], "y_decoded": " Picture Blanc Registration\"...", "py|x": 3.046201484801701e-26}
-{"id": 14, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [41740, 3689, 26159, 39164], "y_decoded": " visionary optionsthreatening orderly", "py|x": 1.0728215208542349e-29}
-{"id": 15, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [49570, 3815, 1245, 19619], "y_decoded": " fullback values effectCalif", "py|x": 2.3451947243702307e-24}
-{"id": 16, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [12532, 3086, 21330, 18268], "y_decoded": "ORD Windanyon induced", "py|x": 6.73761087518439e-30}
-{"id": 17, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [8154, 9984, 36851, 38097], "y_decoded": "resident discussions SovereTown", "py|x": 1.2542941356087558e-28}
-{"id": 18, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [24935, 41296, 17321, 24910], "y_decoded": " \u2191cipled Newtonolin", "py|x": 5.885063529210969e-29}
-{"id": 19, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [8098, 27801, 34458, 8814], "y_decoded": " poverty ClemsonBa rely", "py|x": 4.409037741143329e-29}
-{"id": 20, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [27047, 17216, 48841, 31329], "y_decoded": " planetary conformawar\u00f1o", "py|x": 3.0435248977818053e-30}
-{"id": 21, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [9080, 28971, 13525, 26329], "y_decoded": " entitledBetter Veter unin", "py|x": 6.951996097963065e-28}
-{"id": 22, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [47949, 24734, 16650, 49342], "y_decoded": " boosters Hakaghd Mormonism", "py|x": 9.033032134498363e-29}
-{"id": 23, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [41370, 5751, 46218, 14820], "y_decoded": " prematurely Standzzi arriving", "py|x": 1.8014368698170727e-27}
-{"id": 24, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [13714, 3058, 47465, 14655], "y_decoded": " productivity currently 1899agged", "py|x": 1.6496021381984218e-26}
-{"id": 25, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [24610, 12299, 44836, 23373], "y_decoded": " Registration interviewedApply hooked", "py|x": 6.733015576244427e-29}
-{"id": 26, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [18279, 22320, 27900, 30008], "y_decoded": " medal autop Soros amounted", "py|x": 8.67158804701035e-29}
-{"id": 27, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [11518, 38228, 20756, 29498], "y_decoded": "Max revolves disastrousproducts", "py|x": 4.932318143155377e-28}
-{"id": 28, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [25421, 39407, 1437, 17756], "y_decoded": " screamed Mergeinaarium", "py|x": 6.5132121913274e-26}
-{"id": 29, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [2705, 7113, 20358, 9662], "y_decoded": " softograpattackstep", "py|x": 1.0165965744665626e-26}
-{"id": 30, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [8091, 25053, 45161, 22522], "y_decoded": "lights\u30ce labou\ufffd", "py|x": 2.2808335060756357e-30}
-{"id": 31, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [6128, 29069, 5316, 32776], "y_decoded": " shop barr justice suicides", "py|x": 3.9496943566102234e-26}
+{"id": 0, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [198, 198, 43, 14279], "y_decoded": "\n\nLyrics", "py|x": 0.0002800452639348805}
+{"id": 1, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [314, 892, 340, 338], "y_decoded": " I think it's", "py|x": 6.98627409292385e-05}
+{"id": 2, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [1002, 612, 318, 281], "y_decoded": " If there is an", "py|x": 1.3225041584519204e-05}
+{"id": 3, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [1318, 389, 867, 922], "y_decoded": " There are many good", "py|x": 4.430586614034837e-06}
+{"id": 4, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [921, 460, 1210, 606], "y_decoded": " You can turn them", "py|x": 4.785485430147673e-07}
+{"id": 5, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [3497, 503, 534, 3072], "y_decoded": " Get out your phone", "py|x": 1.6838041574374074e-06}
+{"id": 6, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [1002, 345, 1949, 284], "y_decoded": " If you try to", "py|x": 3.384501542313956e-05}
+{"id": 7, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [357, 6191, 25, 5555], "y_decoded": " (Photo: Photo", "py|x": 2.5789634605644096e-07}
+{"id": 8, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [314, 1101, 407, 1654], "y_decoded": " I'm not sure", "py|x": 8.734578295843676e-05}
+{"id": 9, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [2141, 340, 13, 383], "y_decoded": " Do it. The", "py|x": 1.1965785233769566e-06}
+{"id": 10, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [1002, 345, 821, 2045], "y_decoded": " If you're looking", "py|x": 4.16118091379758e-05}
+{"id": 11, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [1002, 345, 1064, 340], "y_decoded": " If you find it", "py|x": 1.774820702848956e-05}
+{"id": 12, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [5930, 866, 257, 1178], "y_decoded": " Put down a few", "py|x": 1.8931059742044454e-07}
+{"id": 13, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [5930, 534, 1021, 319], "y_decoded": " Put your hand on", "py|x": 8.069947398325894e-06}
+{"id": 14, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [921, 423, 645, 2126], "y_decoded": " You have no idea", "py|x": 1.614932443771977e-05}
+{"id": 15, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [19430, 866, 477, 262], "y_decoded": " Write down all the", "py|x": 2.4209346065617865e-06}
+{"id": 16, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [5765, 257, 23227, 393], "y_decoded": " Use a noun or", "py|x": 9.889301963994512e-07}
+{"id": 17, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [198, 198, 43, 3637], "y_decoded": "\n\nLaughter", "py|x": 3.41198465321213e-05}
+{"id": 18, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [1114, 1672, 11, 317], "y_decoded": " For example, A", "py|x": 3.469818693702109e-06}
+{"id": 19, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [3244, 356, 1265, 674], "y_decoded": " Then we ask our", "py|x": 2.1363646851568774e-08}
+{"id": 20, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [366, 40, 761, 284], "y_decoded": " \"I need to", "py|x": 3.276962615927914e-06}
+{"id": 21, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [1114, 1672, 11, 2074], "y_decoded": " For example, consider", "py|x": 8.648704351799097e-06}
+{"id": 22, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [775, 423, 257, 1588], "y_decoded": " We have a large", "py|x": 1.6346616860118957e-07}
+{"id": 23, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [6889, 1654, 534, 21247], "y_decoded": " Make sure your poem", "py|x": 9.957379006664269e-06}
+{"id": 24, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [921, 836, 470, 423], "y_decoded": " You don't have", "py|x": 0.0005594937247224152}
+{"id": 25, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [198, 198, 1212, 373], "y_decoded": "\n\nThis was", "py|x": 3.888555511366576e-05}
+{"id": 26, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [19430, 503, 257, 9577], "y_decoded": " Write out a quote", "py|x": 1.8694287007292587e-07}
+{"id": 27, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [921, 761, 284, 923], "y_decoded": " You need to start", "py|x": 6.579464297828963e-06}
+{"id": 28, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [198, 198, 6423, 25], "y_decoded": "\n\nThen:", "py|x": 5.700092060578754e-06}
+{"id": 29, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [198, 198, 1639, 815], "y_decoded": "\n\nYou should", "py|x": 0.00012437386612873524}
+{"id": 30, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [6889, 257, 869, 284], "y_decoded": " Make a call to", "py|x": 4.374460331746377e-06}
+{"id": 31, "x": [16594, 257, 21247, 13], "x_decoded": "Write a poem.", "y": [383, 21247, 338, 2420], "y_decoded": " The poem's text", "py|x": 1.1522614613568294e-06}

gpt2_poem/test.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ebfbc0bfb6a6bca0f565fba94cc48adaebcd177c11aa960bcb0a913bfd2e3dc6
+oid sha256:24f25e9ef5965d28bd3637c9407509b280c9e3128e66340d4ae0650480d6994a
 size 916

gpt2_poem/train.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:548880463a9d95d78153bd1ea41438e26019e050eb251c5e4982245207812dca
+oid sha256:843e37b38fcff785225b2b682a0682e827c433c2cb253d90216e6830240ef9ea
 size 920

gpt2_sharegpt/test.jsonl

@@ -1,32 +1,32 @@
-{"id": 0, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [44993, 24326, 25639, 34985], "y_decoded": "Southernprotected Missingdh", "py|x": 5.4305852892734534e-30}
-{"id": 1, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [46228, 30812, 22481, 33338], "y_decoded": " Extend printf Throw showdown", "py|x": 4.915655582759242e-25}
-{"id": 2, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [20013, 37409, 289, 24443], "y_decoded": " tide hue h append", "py|x": 1.906940981659126e-22}
-{"id": 3, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [15233, 34595, 4953, 34175], "y_decoded": " Wang devastation waiting constructs", "py|x": 2.516097002143771e-25}
-{"id": 4, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [39711, 10584, 21663, 25278], "y_decoded": " Advertisement Mother Rage impulse", "py|x": 5.496105550492878e-24}
-{"id": 5, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [2793, 29927, 2218, 25778], "y_decoded": " lower incorporating feat Glory", "py|x": 8.179589074570846e-24}
-{"id": 6, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [7338, 38080, 40152, 18180], "y_decoded": "enders overcrowd Cutting rivers", "py|x": 1.846682950000996e-24}
-{"id": 7, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [18051, 10796, 9984, 29298], "y_decoded": " gloves coins discussions perme", "py|x": 2.4706524510272188e-25}
-{"id": 8, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [37869, 45042, 18746, 2859], "y_decoded": " BW Ryzen stain exc", "py|x": 1.124028428845822e-25}
-{"id": 9, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [3107, 26190, 12033, 19048], "y_decoded": "sequ Sebastian Interest 117", "py|x": 1.2730452399182027e-25}
-{"id": 10, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13682, 2962, 3319, 5544], "y_decoded": " mortgage focusfort fourth", "py|x": 1.87803468840024e-23}
-{"id": 11, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [329, 39434, 35426, 2714], "y_decoded": " for(& bicycles held", "py|x": 1.0754533147813364e-22}
-{"id": 12, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [21643, 43591, 43484, 4746], "y_decoded": " 137ramids Bid Scott", "py|x": 3.945618780699109e-27}
-{"id": 13, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [16184, 44741, 33167, 37371], "y_decoded": "sn prehistoric youngstersNZ", "py|x": 4.3138726098030857e-26}
-{"id": 14, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [45322, 46481, 8259, 3405], "y_decoded": " Ender\u015f relief reb", "py|x": 1.4313121846613984e-25}
-{"id": 15, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [36696, 3613, 36803, 47098], "y_decoded": " horsepower save Upload ushered", "py|x": 1.2256183523443115e-22}
-{"id": 16, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [65, 11875, 12125, 48830], "y_decoded": "b catsiko synopsis", "py|x": 8.878883402866356e-26}
-{"id": 17, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [41169, 20184, 36327, 34963], "y_decoded": " biblePriv disadvantaged melan", "py|x": 2.0455633199287267e-27}
-{"id": 18, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [4353, 47045, 40548, 47379], "y_decoded": " 38documented FractBAT", "py|x": 4.261624053934392e-29}
-{"id": 19, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [42152, 604, 12786, 7687], "y_decoded": " roses 4vals sacr", "py|x": 7.063810602375632e-26}
-{"id": 20, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [45480, 43495, 516, 41755], "y_decoded": "ordinate effectedous PROC", "py|x": 2.3262352537001006e-27}
-{"id": 21, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [28230, 27475, 25416, 24557], "y_decoded": "lead enlarge Smoke brutality", "py|x": 1.1402776125690747e-22}
-{"id": 22, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [3545, 32215, 27738, 15735], "y_decoded": " Coun 2050Iss ideological", "py|x": 6.096448809156175e-27}
-{"id": 23, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [6000, 16065, 41649, 45911], "y_decoded": " greatest Syn DAR\ufffd", "py|x": 7.443392227559549e-25}
-{"id": 24, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [1649, 7429, 5726, 25688], "y_decoded": " When answers entry Sell", "py|x": 7.2009762929600045e-22}
-{"id": 25, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [44779, 37735, 49008, 35817], "y_decoded": " DRAG raven mortals wealthiest", "py|x": 2.022417108671092e-28}
-{"id": 26, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [12929, 38249, 1787, 32364], "y_decoded": " refund 269 pot Kom", "py|x": 1.327165880485602e-24}
-{"id": 27, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [48031, 33295, 46703, 17145], "y_decoded": "Timeoutappendreys Lux", "py|x": 3.130932852149628e-29}
-{"id": 28, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [42635, 13569, 36002, 19424], "y_decoded": " yronz Mavericks ....", "py|x": 1.8557777766810957e-25}
-{"id": 29, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [42145, 11986, 8293, 49434], "y_decoded": " rinse specify toxFavorite", "py|x": 3.391844723795249e-24}
-{"id": 30, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [16728, 6923, 47385, 32949], "y_decoded": " demographic Rights transformerethical", "py|x": 5.188775128624377e-26}
-{"id": 31, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13411, 37855, 15725, 36719], "y_decoded": "obi \u203a Cape Byron", "py|x": 2.228630822634692e-23}
+{"id": 0, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [628, 198, 12, 14365], "y_decoded": "\n\n\n- Learn", "py|x": 2.3526022232545074e-06}
+{"id": 1, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [628, 198, 1858, 389], "y_decoded": "\n\n\nThere are", "py|x": 8.717300806893036e-05}
+{"id": 2, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 16, 13], "y_decoded": "\n\n1.", "py|x": 0.03958858549594879}
+{"id": 3, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 16, 8], "y_decoded": "\n\n1)", "py|x": 0.011578414589166641}
+{"id": 4, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [383, 513, 12, 4122], "y_decoded": " The 3-point", "py|x": 1.4297726238510222e-06}
+{"id": 5, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 16, 13], "y_decoded": "\n\n1.", "py|x": 0.03958858549594879}
+{"id": 6, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 464, 6705], "y_decoded": "\n\nThe Best", "py|x": 9.902670717565343e-05}
+{"id": 7, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 16, 8], "y_decoded": "\n\n1)", "py|x": 0.011578414589166641}
+{"id": 8, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [513, 14, 16, 14], "y_decoded": " 3/1/", "py|x": 2.1983832709793205e-07}
+{"id": 9, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 818, 513], "y_decoded": "\n\nIn 3", "py|x": 0.0011092140339314938}
+{"id": 10, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 20, 13], "y_decoded": "\n\n5.", "py|x": 0.0007404889911413193}
+{"id": 11, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 16, 8], "y_decoded": "\n\n1)", "py|x": 0.011578414589166641}
+{"id": 12, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [921, 1183, 651, 281], "y_decoded": " You'll get an", "py|x": 5.2068517106818035e-06}
+{"id": 13, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [352, 8, 775, 1183], "y_decoded": " 1) We'll", "py|x": 1.17923609650461e-05}
+{"id": 14, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 818, 372], "y_decoded": "\n\nInher", "py|x": 1.8473920135875233e-05}
+{"id": 15, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [50256, 50256, 50256, 50256], "y_decoded": "<|endoftext|><|endoftext|><|endoftext|><|endoftext|>", "py|x": 6.736278442705414e-20}
+{"id": 16, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 16, 8], "y_decoded": "\n\n1)", "py|x": 0.011578414589166641}
+{"id": 17, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [1002, 345, 389, 1262], "y_decoded": " If you are using", "py|x": 1.5080841876624618e-05}
+{"id": 18, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 1532, 257], "y_decoded": "\n\nIf a", "py|x": 0.0015813978388905525}
+{"id": 19, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 18, 13], "y_decoded": "\n\n3.", "py|x": 0.004383772611618042}
+{"id": 20, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 2437, 815], "y_decoded": "\n\nHow should", "py|x": 5.326836617314257e-05}
+{"id": 21, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 32, 13], "y_decoded": "\n\nA.", "py|x": 0.0006120972102507949}
+{"id": 22, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [352, 25, 4231, 6491], "y_decoded": " 1: Are customer", "py|x": 2.542516881476331e-07}
+{"id": 23, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [352, 8, 4162, 749], "y_decoded": " 1) Why most", "py|x": 1.2133533289215848e-07}
+{"id": 24, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [632, 338, 407, 845], "y_decoded": " It's not very", "py|x": 6.000117878102174e-07}
+{"id": 25, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 1722, 340], "y_decoded": "\n\nAs it", "py|x": 1.1098077266069595e-05}
+{"id": 26, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [383, 717, 318, 284], "y_decoded": " The first is to", "py|x": 8.960602281149477e-05}
+{"id": 27, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [3274, 25, 3274, 25], "y_decoded": " First: First:", "py|x": 3.759093303301597e-08}
+{"id": 28, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 5962, 11], "y_decoded": "\n\nFirst,", "py|x": 0.004080402664840221}
+{"id": 29, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 32, 6491], "y_decoded": "\n\nA customer", "py|x": 0.0011556957615539432}
+{"id": 30, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [198, 198, 32, 6491], "y_decoded": "\n\nA customer", "py|x": 0.0011556957615539432}
+{"id": 31, "x": [2437, 284, 1560, 611, 257, 6491, 10618, 318, 880, 10618, 276, 30, 554, 513, 10492, 2173, 13], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [775, 1183, 804, 379], "y_decoded": " We'll look at", "py|x": 2.547617805248592e-05}

gpt2_sharegpt/test.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e7977932344d333999a2c1a58595ee2856f1269cbda328ce4c3da7a5a0cccb83
+oid sha256:6ddf4f5cd1b460fe916273de9ab798a86be4e513512f9f168a1c1330d6c5a696
 size 916

gpt2_sharegpt/train.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:320e2ef4eaf2ab92cc00732f7d930cfae975cb8b4506a96e9a9671c1cdd0cd4a
+oid sha256:39cb427225de06bd5343869a2acb65d613e4025c3fcd3fc2cda29bfb5f512320
 size 920

gpt2_space/test.jsonl

@@ -1,32 +1,32 @@
-{"id": 0, "x": [220], "x_decoded": " ", "y": [38165, 24980, 38061, 15808], "y_decoded": ")} Omar DACAdriven", "py|x": 1.5875386605545542e-26}
-{"id": 1, "x": [220], "x_decoded": " ", "y": [44078, 23380, 11811, 19827], "y_decoded": " signifyhematic contemporary intriguing", "py|x": 3.1874191116010494e-25}
-{"id": 2, "x": [220], "x_decoded": " ", "y": [41364, 47013, 5361, 37496], "y_decoded": "movie EPS operating usefulness", "py|x": 2.7775540037342155e-23}
-{"id": 3, "x": [220], "x_decoded": " ", "y": [26410, 14043, 22261, 16309], "y_decoded": "Output bedroomindaYS", "py|x": 2.592127317581359e-24}
-{"id": 4, "x": [220], "x_decoded": " ", "y": [42325, 48999, 26407, 36920], "y_decoded": "radical]}icatoradem", "py|x": 4.0046149144614684e-24}
-{"id": 5, "x": [220], "x_decoded": " ", "y": [35196, 46159, 36739, 33417], "y_decoded": " lobbyist Zed scripture translator", "py|x": 6.0975764919831646e-24}
-{"id": 6, "x": [220], "x_decoded": " ", "y": [45121, 3644, 23008, 37492], "y_decoded": " encro computer compares crowned", "py|x": 4.721978859837092e-27}
-{"id": 7, "x": [220], "x_decoded": " ", "y": [49473, 23173, 45372, 40494], "y_decoded": " interrogated PrincetonSafety improbable", "py|x": 2.3667450715573473e-27}
-{"id": 8, "x": [220], "x_decoded": " ", "y": [23694, 48249, 25554, 47536], "y_decoded": " Lunaabilia Yugiky", "py|x": 1.7656647656673088e-24}
-{"id": 9, "x": [220], "x_decoded": " ", "y": [43188, 38566, 46638, 46572], "y_decoded": " Yosemite clen dives563", "py|x": 1.14425998009608e-28}
-{"id": 10, "x": [220], "x_decoded": " ", "y": [34682, 16276, 45464, 30804], "y_decoded": " abducted XL lucidComing", "py|x": 2.1096730981385057e-27}
-{"id": 11, "x": [220], "x_decoded": " ", "y": [1456, 22434, 17376, 33682], "y_decoded": "here Alzheimer SleepAttribute", "py|x": 7.41106926333532e-23}
-{"id": 12, "x": [220], "x_decoded": " ", "y": [27780, 25697, 42000, 35525], "y_decoded": "followLAN hemor Semi", "py|x": 2.4545241435976565e-27}
-{"id": 13, "x": [220], "x_decoded": " ", "y": [38143, 28957, 38916, 27505], "y_decoded": "ComplMENTSfur expresses", "py|x": 2.0917717718984207e-27}
-{"id": 14, "x": [220], "x_decoded": " ", "y": [22205, 27526, 18088, 28161], "y_decoded": " BT EUR caring massively", "py|x": 8.112632607043659e-26}
-{"id": 15, "x": [220], "x_decoded": " ", "y": [12342, 2342, 13610, 31001], "y_decoded": "oder watch Create ropes", "py|x": 4.225697395666891e-22}
-{"id": 16, "x": [220], "x_decoded": " ", "y": [5684, 47714, 33100, 23937], "y_decoded": " LevelhouniaeBesides", "py|x": 3.0226016014863665e-26}
-{"id": 17, "x": [220], "x_decoded": " ", "y": [49279, 44412, 12829, 34757], "y_decoded": " sinnersocard faculty shouts", "py|x": 3.521891081774584e-27}
-{"id": 18, "x": [220], "x_decoded": " ", "y": [49703, 48856, 27832, 14884], "y_decoded": "781 Disappbishop Communist", "py|x": 3.7383686890116207e-25}
-{"id": 19, "x": [220], "x_decoded": " ", "y": [30032, 1195, 1596, 7200], "y_decoded": " climax Q 17\u00b0", "py|x": 1.3856581171655282e-18}
-{"id": 20, "x": [220], "x_decoded": " ", "y": [35639, 35641, 47309, 11004], "y_decoded": " indefiniteyg Lyndon remarkable", "py|x": 2.3440777427803845e-28}
-{"id": 21, "x": [220], "x_decoded": " ", "y": [38233, 44864, 48045, 29570], "y_decoded": " CFR Dah LOOK pioneer", "py|x": 1.1363967933191357e-27}
-{"id": 22, "x": [220], "x_decoded": " ", "y": [15117, 43984, 45200, 30303], "y_decoded": " discourBang culminated shoppers", "py|x": 3.9395315300350706e-29}
-{"id": 23, "x": [220], "x_decoded": " ", "y": [35324, 42667, 20196, 31037], "y_decoded": "frequency XIV Levi fascism", "py|x": 5.460664791034466e-25}
-{"id": 24, "x": [220], "x_decoded": " ", "y": [26247, 18818, 6716, 26546], "y_decoded": " compartment stripped nearby fost", "py|x": 9.308986244218569e-24}
-{"id": 25, "x": [220], "x_decoded": " ", "y": [43452, 23328, 34444, 13181], "y_decoded": "599 RocketsICES excessive", "py|x": 2.3080817461930976e-26}
-{"id": 26, "x": [220], "x_decoded": " ", "y": [13316, 2924, 5638, 44521], "y_decoded": " Philippinessych Water NON", "py|x": 1.1094862710961385e-25}
-{"id": 27, "x": [220], "x_decoded": " ", "y": [38750, 28194, 47050, 28252], "y_decoded": " soilsoksprev Removed", "py|x": 1.2755656659178234e-26}
-{"id": 28, "x": [220], "x_decoded": " ", "y": [45779, 37425, 6908, 2256], "y_decoded": "rediblyfrey trickhead", "py|x": 1.7121731931568776e-21}
-{"id": 29, "x": [220], "x_decoded": " ", "y": [42006, 16295, 39079, 14936], "y_decoded": "CEPT earthquakeShut sail", "py|x": 6.992983835336011e-26}
-{"id": 30, "x": [220], "x_decoded": " ", "y": [47110, 3300, 15542, 5210], "y_decoded": " gestation Wedthree rough", "py|x": 3.79288668128217e-26}
-{"id": 31, "x": [220], "x_decoded": " ", "y": [23708, 21295, 36944, 1775], "y_decoded": " unusually Dru compounded seen", "py|x": 1.9344028035473753e-26}
+{"id": 0, "x": [220], "x_decoded": " ", "y": [40, 561, 407, 22898], "y_decoded": "I would not hesitate", "py|x": 3.628800016031164e-08}
+{"id": 1, "x": [220], "x_decoded": " ", "y": [36, 532, 220, 4707], "y_decoded": "E - \u30fb", "py|x": 9.312903226366132e-11}
+{"id": 2, "x": [220], "x_decoded": " ", "y": [357, 32, 8, 366], "y_decoded": " (A) \"", "py|x": 2.0843936354708603e-08}
+{"id": 3, "x": [220], "x_decoded": " ", "y": [220, 220, 220, 220], "y_decoded": "    ", "py|x": 0.002130938693881035}
+{"id": 4, "x": [220], "x_decoded": " ", "y": [284, 257, 1813, 1181], "y_decoded": " to a given state", "py|x": 2.126903098087496e-09}
+{"id": 5, "x": [220], "x_decoded": " ", "y": [198, 198, 818, 7664], "y_decoded": "\n\nIn conclusion", "py|x": 1.8368968994764145e-06}
+{"id": 6, "x": [220], "x_decoded": " ", "y": [72, 13, 68, 13], "y_decoded": "i.e.", "py|x": 5.622106255032122e-05}
+{"id": 7, "x": [220], "x_decoded": " ", "y": [12, 16, 1058, 262], "y_decoded": "-1 : the", "py|x": 1.9150716568105963e-08}
+{"id": 8, "x": [220], "x_decoded": " ", "y": [13, 4091, 262, 584], "y_decoded": ". See the other", "py|x": 8.692198072424162e-09}
+{"id": 9, "x": [220], "x_decoded": " ", "y": [532, 352, 13, 2425], "y_decoded": " - 1.75", "py|x": 3.651028990248051e-08}
+{"id": 10, "x": [220], "x_decoded": " ", "y": [198, 198, 40, 4601], "y_decoded": "\n\nI wish", "py|x": 4.222582447255263e-06}
+{"id": 11, "x": [220], "x_decoded": " ", "y": [198, 198, 90, 366], "y_decoded": "\n\n{ \"", "py|x": 6.947571819182485e-05}
+{"id": 12, "x": [220], "x_decoded": " ", "y": [198, 198, 1, 2396], "y_decoded": "\n\n\"So", "py|x": 1.4857305359328166e-05}
+{"id": 13, "x": [220], "x_decoded": " ", "y": [198, 198, 9, 1635], "y_decoded": "\n\n* *", "py|x": 1.3037640201218892e-05}
+{"id": 14, "x": [220], "x_decoded": " ", "y": [13, 198, 198, 65], "y_decoded": ".\n\nb", "py|x": 4.48585251433542e-06}
+{"id": 15, "x": [220], "x_decoded": " ", "y": [262, 1517, 810, 257], "y_decoded": " the thing where a", "py|x": 4.5179410212980997e-10}
+{"id": 16, "x": [220], "x_decoded": " ", "y": [198, 198, 1532, 345], "y_decoded": "\n\nIf you", "py|x": 0.0002563805610407144}
+{"id": 17, "x": [220], "x_decoded": " ", "y": [11, 308, 58, 22], "y_decoded": ", g[7", "py|x": 7.217036412932032e-10}
+{"id": 18, "x": [220], "x_decoded": " ", "y": [17, 784, 1303, 16], "y_decoded": "2 \u2013 #1", "py|x": 4.2411154588251065e-09}
+{"id": 19, "x": [220], "x_decoded": " ", "y": [198, 198, 2, 611], "y_decoded": "\n\n# if", "py|x": 1.7509915778646246e-05}
+{"id": 20, "x": [220], "x_decoded": " ", "y": [198, 198, 58, 22], "y_decoded": "\n\n[7", "py|x": 1.1145128155476414e-05}
+{"id": 21, "x": [220], "x_decoded": " ", "y": [1, 1639, 1244, 407], "y_decoded": "\"You might not", "py|x": 2.7220581344522543e-08}
+{"id": 22, "x": [220], "x_decoded": " ", "y": [198, 198, 35, 418], "y_decoded": "\n\nDos", "py|x": 8.496710961480858e-07}
+{"id": 23, "x": [220], "x_decoded": " ", "y": [338, 257, 1310, 7650], "y_decoded": "'s a little weird", "py|x": 7.7934050324302e-09}
+{"id": 24, "x": [220], "x_decoded": " ", "y": [12, 317, 1729, 12], "y_decoded": "- A non-", "py|x": 5.3129401322848935e-08}
+{"id": 25, "x": [220], "x_decoded": " ", "y": [314, 716, 262, 2081], "y_decoded": " I am the true", "py|x": 3.1329758343190406e-08}
+{"id": 26, "x": [220], "x_decoded": " ", "y": [198, 198, 464, 749], "y_decoded": "\n\nThe most", "py|x": 1.311552659899462e-05}
+{"id": 27, "x": [220], "x_decoded": " ", "y": [198, 198, 818, 663], "y_decoded": "\n\nIn its", "py|x": 1.6295125533360988e-06}
+{"id": 28, "x": [220], "x_decoded": " ", "y": [464, 471, 4537, 1230], "y_decoded": "The UPA government", "py|x": 2.242455998668902e-09}
+{"id": 29, "x": [220], "x_decoded": " ", "y": [198, 198, 6, 383], "y_decoded": "\n\n' The", "py|x": 1.5669903632442583e-06}
+{"id": 30, "x": [220], "x_decoded": " ", "y": [198, 198, 1639, 1107], "y_decoded": "\n\nYou really", "py|x": 1.1882652870554011e-06}
+{"id": 31, "x": [220], "x_decoded": " ", "y": [25, 16, 366, 40], "y_decoded": ":1 \"I", "py|x": 9.11586450769164e-09}

gpt2_space/test.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1594f72ea9f8b3b6b2e4239074fdfe3586aeb8b76ce99f07e892c53a813af9dd
+oid sha256:fab53fae965cd04a5348ae518cf8f954c7404fd507262ed2f4241d363efcb496
 size 916

gpt2_space/train.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fa03891c4040b5990c68e0c67f21306cc66b11baf882eb2ebe754e901c2c4ccb
+oid sha256:17884c25002442302324605bced0869a8b882ae0e93c35b99eb0ac58cf28eff6
 size 920