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40
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dict
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int64
4
13.6k
files
listlengths
4
13.6k
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float64
16.4k
1.04M
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dict
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3
395
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3
395
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int64
17.4k
3.21M
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1 class
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list
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int32
16.8k
3.1M
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3
395
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stringclasses
138 values
embedding_source_row
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761
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int64
2
92.9k
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int32
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1.02k
selection_max_cosine
float32
-1
0.96
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int64
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211k
BoutrosLaboratory/bamql
27,464,791
d6e36af1bfc436cb6bb25eb8f55c083b2b301691
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63
[{"content_id":"d820a6561136df1ccde5d0def7c2e8284a925d19","content":"/*\n * Copyright 2015 <NAME>. F(...TRUNCATED)
111,767.498302
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[[-0.01819131150841713,-0.002062942599877715,0.02730913832783699,-0.015240533277392387,-0.0259875915(...TRUNCATED)
[{"token_start":0,"token_end":8179,"new_token_start":0,"new_tokens":8179,"overlap_tokens":0,"input_t(...TRUNCATED)
86,904
true
[-0.007194475270807743,0.0051370528526604176,0.03010636568069458,-0.03185918554663658,-0.01484940294(...TRUNCATED)
84,201
11
data/train-00000-of-00512.parquet
2
2
9
0.883901
85,701
igilitschenski/deep_bingham
239,594,916
c4f7cf47d251a7dafb5b465cb282ded844e96dcc
{"branch":"master","commit_count":6,"repo_created_at":"2020-02-10T19:27:58.000Z","is_fork":false,"is(...TRUNCATED)
85
[{"content_id":"c47e8e92ea304b0a09dcf7b7237d239ddedc2d0f","content":"from .idiap_dataset import *\nf(...TRUNCATED)
52,535.038512
{"input_num_files":87,"input_estimated_tokens":52702.3813185016,"source_file_count":29,"source_token(...TRUNCATED)
[[-0.027305999770760536,-0.003457947401329875,0.019024290144443512,0.022768739610910416,-0.055669203(...TRUNCATED)
[{"token_start":0,"token_end":8176,"new_token_start":0,"new_tokens":8176,"overlap_tokens":0,"input_t(...TRUNCATED)
65,939
true
[-0.04997943714261055,-0.004276904743164778,0.025573253631591797,0.015092287212610245,-0.05467481166(...TRUNCATED)
63,747
9
data/train-00000-of-00512.parquet
26
26
378
0.908736
74,461
pythonanywhere/helper_scripts
78,631,916
48fbd74bd6c1962086c9b1e223259f06f0a3a7d4
{"branch":"master","commit_count":577,"repo_created_at":"2017-01-11T11:19:11.000Z","is_fork":false,"(...TRUNCATED)
80
[{"content_id":"c4ab822441102e42a77f413e7a103ab7f37e86f5","content":"import logging\nfrom typing imp(...TRUNCATED)
64,665.54604
{"input_num_files":81,"input_estimated_tokens":64713.44306506439,"source_file_count":74,"source_toke(...TRUNCATED)
[[-0.037519052624702454,0.024187719449400902,0.02880856767296791,-0.053772974759340286,-0.0250053219(...TRUNCATED)
[{"token_start":0,"token_end":8178,"new_token_start":0,"new_tokens":8178,"overlap_tokens":0,"input_t(...TRUNCATED)
76,064
true
[-0.043068062514066696,0.03562595322728157,0.035480204969644547,-0.037380512803792953,-0.01226496882(...TRUNCATED)
73,620
10
data/train-00000-of-00512.parquet
37
37
883
0.870824
78,040
shaoanlu/faceswap-GAN
115,182,783
17219d082e1071963afb5ee13393a4bd79715b6c
{"branch":"master","commit_count":279,"repo_created_at":"2017-12-23T08:40:32.000Z","is_fork":false,"(...TRUNCATED)
40
[{"content_id":"0d018eb10e2a6ab2ea8c3d34de41fc96e3e4fcd7","content":"{\"cells\": [{\"cell_type\": \"(...TRUNCATED)
168,962.73927
{"input_num_files":40,"input_estimated_tokens":168962.73926951352,"source_file_count":36,"source_tok(...TRUNCATED)
[[-0.027938436716794968,-0.003380349837243557,0.05041651055216789,-0.019897039979696274,-0.055434301(...TRUNCATED)
[{"token_start":0,"token_end":8176,"new_token_start":0,"new_tokens":8176,"overlap_tokens":0,"input_t(...TRUNCATED)
203,869
true
[-0.025600653141736984,-0.0020163170993328094,0.04329986125230789,-0.013743247836828232,-0.066746480(...TRUNCATED)
196,237
29
data/train-00000-of-00512.parquet
41
41
40
0.926312
105,340
wickedest/Mergely
3,640,908
b9aed167f3afacbe8045985d360ba1bec61f92a5
{"branch":"master","commit_count":235,"repo_created_at":"2012-03-06T18:06:46.000Z","is_fork":false,"(...TRUNCATED)
28
[{"content_id":"3cd04fad5435fbc3571fc910ef1081f9eacc77d8","content":"const simple = require('simple-(...TRUNCATED)
70,210.773847
{"input_num_files":30,"input_estimated_tokens":70346.40966605755,"source_file_count":20,"source_toke(...TRUNCATED)
[[-0.04158865287899971,0.015082303434610367,0.05419572442770004,-0.009933022782206535,-0.08256682008(...TRUNCATED)
[{"token_start":0,"token_end":8179,"new_token_start":0,"new_tokens":8179,"overlap_tokens":0,"input_t(...TRUNCATED)
93,375
true
[-0.04010048508644104,-9.512651558907237e-6,0.03941093385219574,-0.006232469342648983,-0.05962117388(...TRUNCATED)
90,134
13
data/train-00000-of-00512.parquet
52
52
159
0.88477
142,621
google/squires
37,888,399
f1e69e7fa022e464e50e4fa450f160d10c4c2c7f
{"branch":"master","commit_count":20,"repo_created_at":"2015-06-23T00:40:42.000Z","is_fork":false,"i(...TRUNCATED)
8
[{"content_id":"cf6423f027be9f3689f04cb21ccff0414093a944","content":"# Copyright 2011 Google Inc. Al(...TRUNCATED)
34,271.971098
{"input_num_files":8,"input_estimated_tokens":34271.971097526846,"source_file_count":8,"source_token(...TRUNCATED)
[[-0.002736769849434495,0.028797751292586327,0.02187168225646019,-0.04396075755357742,-0.00362442643(...TRUNCATED)
[{"token_start":0,"token_end":8181,"new_token_start":0,"new_tokens":8181,"overlap_tokens":0,"input_t(...TRUNCATED)
38,446
true
[-0.00635020574554801,0.027745530009269714,0.023131953552365303,-0.03167808800935745,0.0033543312456(...TRUNCATED)
37,367
5
data/train-00000-of-00512.parquet
77
77
754
0.892808
22,726
tools4j/elara
243,245,824
24754158632b97378f460768b4441587f284b1f5
{"branch":"master","commit_count":298,"repo_created_at":"2020-02-26T11:25:03.000Z","is_fork":false,"(...TRUNCATED)
365
[{"content_id":"e2f2e14fa7e0dbce1ddfd1b407ab18d8b8bb4ce5","content":"/*\n * The MIT License (MIT)\n (...TRUNCATED)
391,064.884355
{"input_num_files":366,"input_estimated_tokens":391105.3306468145,"source_file_count":361,"source_to(...TRUNCATED)
[[-0.03581476956605911,-0.0002750192361418158,0.025521067902445793,-0.010538887232542038,-0.02234193(...TRUNCATED)
[{"token_start":0,"token_end":8179,"new_token_start":0,"new_tokens":8179,"overlap_tokens":0,"input_t(...TRUNCATED)
447,090
true
[-0.02893158234655857,0.0070247589610517025,0.020879577845335007,-0.006741099059581757,-0.0337403714(...TRUNCATED)
432,282
56
data/train-00000-of-00512.parquet
92
92
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195,872
yui/phploader
107,391
d3196a6b18ac17d8894473aba07c26fd6698744b
{"branch":"master","commit_count":79,"repo_created_at":"2009-01-14T16:30:48.000Z","is_fork":false,"i(...TRUNCATED)
47
[{"content_id":"9f77254b207a4e2d4ac84c6ebc0ac8f36a0c7125","content":"\t<h2 id=\"support\">Support &a(...TRUNCATED)
522,901.01416
{"input_num_files":48,"input_estimated_tokens":522917.6685150654,"source_file_count":43,"source_toke(...TRUNCATED)
[[-0.05651760473847389,0.029302043840289116,0.049483735114336014,-0.05136142298579216,-0.00738127948(...TRUNCATED)
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611,220
true
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590,036
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data/train-00000-of-00512.parquet
96
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0.914241
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benc-uk/rayscale
135,030,207
8050e7ebfc2e6e1424a7a5db036bc47737235758
{"branch":"master","commit_count":272,"repo_created_at":"2018-05-27T08:48:59.000Z","is_fork":false,"(...TRUNCATED)
99
[{"content_id":"147553fa643fd2cd5bc58d6d98c7388bab52250c","content":"//\n// Rayscale - Base raytraci(...TRUNCATED)
78,071.609277
{"input_num_files":99,"input_estimated_tokens":78071.6092767432,"source_file_count":59,"source_token(...TRUNCATED)
[[-0.03592664748430252,0.012745080515742302,0.027588864788413048,-0.04011962562799454,-0.01637565717(...TRUNCATED)
[{"token_start":0,"token_end":8179,"new_token_start":0,"new_tokens":8179,"overlap_tokens":0,"input_t(...TRUNCATED)
97,318
true
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94,346
12
data/train-00000-of-00512.parquet
104
104
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0.913513
160,097
dhaumont/visilib
324,582,821
d83cdb31d7eb1f4cd8c93b41bd2eb8428759d2b7
{"branch":"main","commit_count":164,"repo_created_at":"2020-12-26T15:28:57.000Z","is_fork":false,"is(...TRUNCATED)
173
[{"content_id":"c3f41ab1c2f31192b8ffaf62e0225a59e98f7fb9","content":"var searchData=\n[\n ['facecou(...TRUNCATED)
810,914.253439
{"input_num_files":174,"input_estimated_tokens":816399.8808567994,"source_file_count":148,"source_to(...TRUNCATED)
[[-0.029124537482857704,-0.02314630337059498,0.035360537469387054,0.020130999386310577,-0.0536156222(...TRUNCATED)
[{"token_start":0,"token_end":8180,"new_token_start":0,"new_tokens":8180,"overlap_tokens":0,"input_t(...TRUNCATED)
922,458
true
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888,142
129
data/train-00000-of-00512.parquet
106
106
137
0.908432
192,188
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Stack v3.1: semantic diversity and length selection

Status: complete. Selected 19,594 repositories, containing 3,027,545,995 stored canonical content tokens.

Source: storagestuffnobody/stack-v3.1-subsampled-embeddings. All original fields, including text, nested metadata, embeddings and provenance, are preserved for retained rows.

Normalized existing 768-dimensional aggregate embeddings were grouped into 1,024 spherical k-means buckets. Within each bucket, overlap is the maximum FP32 cosine similarity to any other member, excluding self, evaluated exhaustively. Keep the 30% with lowest overlap, then the longest 30% of those survivors by embedding_tokens, separately within every bucket. Both quotas round upward; source row IDs and overlap scores break ties deterministically.

Selection is global across the source's default splits; every retained row keeps its original split when split preservation is enabled. There is no additional per-split quota. A source split may have zero retained rows.

Source split Input rows Selected rows Selected content tokens
train 210,532 19,594 3,027,545,995

This is fixed-rate semantic redundancy selection. It does not guarantee elimination of every duplicate or measure literal passage overlap. Similarity is assessed within buckets. No additional topic, language, NSFW or content-quality filters were introduced.

The selection_* columns identify the source row, bucket, closest-neighbour score and neighbour source row. Full decisions, bucket counts, code, pinned inputs and verification are under selection/ and job-inputs/. Source licensing and attribution remain applicable.

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