The MiniPile Challenge for Data-Efficient Language Models
Paper
•
2304.08442
•
Published
•
1
idx
int64 0
134M
| cluster
int64 0
219
| distance
float64 0.1
0.36
|
|---|---|---|
132,000,029
| 0
| 0.227789
|
132,000,031
| 0
| 0.20821
|
132,000,117
| 0
| 0.239621
|
132,001,785
| 0
| 0.24071
|
132,002,281
| 0
| 0.213333
|
132,002,383
| 0
| 0.226685
|
132,002,514
| 0
| 0.220195
|
132,002,571
| 0
| 0.231111
|
132,003,261
| 0
| 0.236465
|
132,003,331
| 0
| 0.231166
|
132,003,813
| 0
| 0.232696
|
132,004,262
| 0
| 0.253061
|
132,004,272
| 0
| 0.22569
|
132,004,323
| 0
| 0.230478
|
132,004,886
| 0
| 0.226789
|
132,004,911
| 0
| 0.233082
|
132,005,338
| 0
| 0.215614
|
132,005,383
| 0
| 0.21533
|
132,005,537
| 0
| 0.205072
|
132,005,580
| 0
| 0.252888
|
132,005,666
| 0
| 0.219225
|
132,005,895
| 0
| 0.244753
|
132,006,297
| 0
| 0.233661
|
132,006,414
| 0
| 0.23785
|
132,006,491
| 0
| 0.230512
|
132,006,846
| 0
| 0.211235
|
132,006,980
| 0
| 0.214739
|
132,007,009
| 0
| 0.232474
|
132,007,134
| 0
| 0.230755
|
132,007,375
| 0
| 0.226238
|
132,008,006
| 0
| 0.235093
|
132,008,094
| 0
| 0.238482
|
132,008,479
| 0
| 0.247833
|
132,008,851
| 0
| 0.208318
|
132,008,933
| 0
| 0.232404
|
132,009,088
| 0
| 0.227342
|
132,009,756
| 0
| 0.246941
|
132,009,822
| 0
| 0.219547
|
132,010,944
| 0
| 0.213899
|
132,011,041
| 0
| 0.222815
|
132,011,123
| 0
| 0.215656
|
132,011,368
| 0
| 0.207153
|
132,011,608
| 0
| 0.250607
|
132,011,678
| 0
| 0.237071
|
132,011,729
| 0
| 0.232904
|
132,011,832
| 0
| 0.230546
|
132,012,377
| 0
| 0.21975
|
132,012,396
| 0
| 0.243324
|
132,012,782
| 0
| 0.233725
|
132,013,346
| 0
| 0.207399
|
132,013,487
| 0
| 0.222852
|
132,013,624
| 0
| 0.219106
|
132,013,743
| 0
| 0.243489
|
132,014,295
| 0
| 0.227217
|
132,014,851
| 0
| 0.222044
|
132,014,862
| 0
| 0.210769
|
132,015,139
| 0
| 0.222868
|
132,015,528
| 0
| 0.216215
|
132,015,812
| 0
| 0.223122
|
132,016,569
| 0
| 0.241815
|
132,016,690
| 0
| 0.227998
|
132,016,855
| 0
| 0.223699
|
132,016,996
| 0
| 0.225703
|
132,017,081
| 0
| 0.249479
|
132,017,490
| 0
| 0.213692
|
132,017,553
| 0
| 0.231032
|
132,017,692
| 0
| 0.246568
|
132,017,867
| 0
| 0.22692
|
132,018,574
| 0
| 0.213391
|
132,018,739
| 0
| 0.223202
|
132,018,899
| 0
| 0.25327
|
132,019,699
| 0
| 0.219705
|
132,019,718
| 0
| 0.238899
|
132,020,341
| 0
| 0.230436
|
132,020,510
| 0
| 0.239824
|
132,020,546
| 0
| 0.234023
|
132,020,760
| 0
| 0.199466
|
132,020,882
| 0
| 0.208961
|
132,021,368
| 0
| 0.222579
|
132,021,431
| 0
| 0.241115
|
132,022,890
| 0
| 0.201302
|
132,023,092
| 0
| 0.214816
|
132,024,541
| 0
| 0.226523
|
132,024,647
| 0
| 0.233483
|
132,025,298
| 0
| 0.215402
|
132,025,463
| 0
| 0.245678
|
132,026,069
| 0
| 0.210321
|
132,026,144
| 0
| 0.217503
|
132,026,236
| 0
| 0.225685
|
132,026,390
| 0
| 0.212631
|
132,026,440
| 0
| 0.244828
|
132,026,604
| 0
| 0.228113
|
132,026,867
| 0
| 0.218969
|
132,026,944
| 0
| 0.241552
|
132,027,802
| 0
| 0.225533
|
132,027,817
| 0
| 0.212664
|
132,027,868
| 0
| 0.238878
|
132,029,013
| 0
| 0.209086
|
132,029,218
| 0
| 0.234847
|
132,029,225
| 0
| 0.222492
|
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.