The MiniPile Challenge for Data-Efficient Language Models
Paper
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2304.08442
•
Published
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1
idx
int64 0
134M
| cluster
int64 0
439
| distance
float64 0
0.34
|
|---|---|---|
75,000,000
| 253
| 0.170041
|
75,000,001
| 333
| 0.274883
|
75,000,002
| 153
| 0.179501
|
75,000,003
| 258
| 0.223531
|
75,000,004
| 97
| 0.208746
|
75,000,005
| 356
| 0.205548
|
75,000,006
| 120
| 0.208396
|
75,000,007
| 317
| 0.213567
|
75,000,008
| 396
| 0.189471
|
75,000,009
| 309
| 0.185772
|
75,000,010
| 158
| 0.186233
|
75,000,011
| 253
| 0.177416
|
75,000,012
| 153
| 0.16743
|
75,000,013
| 220
| 0.190014
|
75,000,014
| 18
| 0.218767
|
75,000,015
| 6
| 0.195771
|
75,000,016
| 239
| 0.208139
|
75,000,017
| 390
| 0.179633
|
75,000,018
| 260
| 0.193025
|
75,000,019
| 223
| 0.141873
|
75,000,020
| 167
| 0.162863
|
75,000,021
| 412
| 0.173444
|
75,000,022
| 181
| 0.21177
|
75,000,023
| 396
| 0.201306
|
75,000,024
| 274
| 0.152607
|
75,000,025
| 390
| 0.179242
|
75,000,026
| 321
| 0.231634
|
75,000,027
| 342
| 0.213286
|
75,000,028
| 358
| 0.179552
|
75,000,029
| 160
| 0.196859
|
75,000,030
| 85
| 0.20805
|
75,000,031
| 85
| 0.214853
|
75,000,032
| 256
| 0.172466
|
75,000,033
| 324
| 0.167882
|
75,000,034
| 157
| 0.17455
|
75,000,035
| 357
| 0.177302
|
75,000,036
| 10
| 0.170785
|
75,000,037
| 107
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|
75,000,038
| 224
| 0.16804
|
75,000,039
| 63
| 0.179503
|
75,000,040
| 223
| 0.145286
|
75,000,041
| 227
| 0.157799
|
75,000,042
| 302
| 0.234148
|
75,000,043
| 232
| 0.175191
|
75,000,044
| 1
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|
75,000,045
| 128
| 0.219675
|
75,000,046
| 287
| 0.211993
|
75,000,047
| 146
| 0.201815
|
75,000,048
| 317
| 0.214217
|
75,000,049
| 153
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|
75,000,050
| 65
| 0.195133
|
75,000,051
| 385
| 0.20811
|
75,000,052
| 253
| 0.1874
|
75,000,053
| 422
| 0.172004
|
75,000,054
| 240
| 0.235853
|
75,000,055
| 377
| 0.18026
|
75,000,056
| 211
| 0.194042
|
75,000,057
| 278
| 0.176933
|
75,000,058
| 113
| 0.173002
|
75,000,059
| 45
| 0.196632
|
75,000,060
| 193
| 0.231043
|
75,000,061
| 208
| 0.179951
|
75,000,062
| 219
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|
75,000,063
| 197
| 0.152064
|
75,000,064
| 211
| 0.193535
|
75,000,065
| 122
| 0.158468
|
75,000,066
| 417
| 0.146243
|
75,000,067
| 190
| 0.171046
|
75,000,068
| 137
| 0.245625
|
75,000,069
| 356
| 0.197566
|
75,000,070
| 77
| 0.178095
|
75,000,071
| 253
| 0.177493
|
75,000,072
| 409
| 0.197576
|
75,000,073
| 231
| 0.200562
|
75,000,074
| 390
| 0.172318
|
75,000,075
| 32
| 0.164056
|
75,000,076
| 18
| 0.230763
|
75,000,077
| 427
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|
75,000,078
| 333
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|
75,000,079
| 0
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|
75,000,080
| 302
| 0.178041
|
75,000,081
| 284
| 0.188798
|
75,000,082
| 316
| 0.191045
|
75,000,083
| 211
| 0.188882
|
75,000,084
| 127
| 0.184458
|
75,000,085
| 52
| 0.196425
|
75,000,086
| 379
| 0.168586
|
75,000,087
| 180
| 0.184612
|
75,000,088
| 99
| 0.183053
|
75,000,089
| 73
| 0.188978
|
75,000,090
| 353
| 0.151142
|
75,000,091
| 124
| 0.210949
|
75,000,092
| 430
| 0.18183
|
75,000,093
| 10
| 0.180796
|
75,000,094
| 227
| 0.164137
|
75,000,095
| 236
| 0.218583
|
75,000,096
| 411
| 0.201675
|
75,000,097
| 114
| 0.199515
|
75,000,098
| 127
| 0.18535
|
75,000,099
| 391
| 0.179717
|
Produced with the MiniCorpus pipeline, a reproduction and investigation of the MiniPile data-distillation method (Kaddour, 2023).
This dataset is derived from and based on the contents of The Pile Deduplicated.