dump
large_stringlengths 15
15
⌀ | doc_count
uint32 3.42k
23M
⌀ | total_tokens
int64 14.9M
129B
| avg_tokens
float64 2.79k
10.9k
|
|---|---|---|---|
CC-MAIN-2023-50
| 621,121
| 3,932,320,582
| 6,331.005685
|
CC-MAIN-2020-40
| 598,169
| 2,939,963,385
| 4,914.937727
|
CC-MAIN-2021-49
| 597,888
| 3,531,040,066
| 5,905.855388
|
CC-MAIN-2021-43
| 589,872
| 3,407,925,119
| 5,777.397671
|
CC-MAIN-2018-51
| 573,119
| 2,829,287,561
| 4,936.649389
|
CC-MAIN-2022-27
| 568,759
| 3,319,415,782
| 5,836.243087
|
CC-MAIN-2024-10
| 549,341
| 3,453,613,820
| 6,286.830621
|
CC-MAIN-2023-40
| 521,219
| 3,348,385,225
| 6,424.142683
|
CC-MAIN-2022-21
| 513,243
| 2,933,456,308
| 5,715.53106
|
CC-MAIN-2022-33
| 503,161
| 3,169,693,445
| 6,299.561065
|
CC-MAIN-2023-14
| 494,619
| 3,082,376,129
| 6,231.819095
|
CC-MAIN-2022-49
| 487,862
| 3,094,036,761
| 6,342.032708
|
CC-MAIN-2024-18
| 482,248
| 3,245,910,091
| 6,730.790156
|
CC-MAIN-2021-39
| 480,491
| 2,774,431,631
| 5,774.159414
|
CC-MAIN-2021-21
| 478,312
| 2,787,311,603
| 5,827.392169
|
CC-MAIN-2024-42
| 476,195
| 2,954,793,681
| 6,205.007783
|
CC-MAIN-2019-04
| 469,673
| 2,204,982,792
| 4,694.719075
|
CC-MAIN-2023-23
| 463,629
| 2,849,140,605
| 6,145.302828
|
CC-MAIN-2021-04
| 448,022
| 2,227,027,379
| 4,970.799155
|
CC-MAIN-2023-06
| 439,834
| 2,805,724,619
| 6,379.053504
|
CC-MAIN-2024-30
| 430,739
| 2,720,500,980
| 6,315.891944
|
CC-MAIN-2022-05
| 404,231
| 2,594,643,201
| 6,418.714055
|
CC-MAIN-2020-45
| 403,582
| 2,238,944,291
| 5,547.681242
|
CC-MAIN-2019-09
| 402,166
| 2,249,275,851
| 5,592.904052
|
CC-MAIN-2024-51
| 398,774
| 2,572,201,280
| 6,450.273288
|
CC-MAIN-2024-46
| 393,736
| 2,579,513,418
| 6,551.378126
|
CC-MAIN-2025-08
| 390,983
| 2,493,307,380
| 6,377.022479
|
CC-MAIN-2019-39
| 390,578
| 2,102,592,857
| 5,383.285431
|
CC-MAIN-2024-33
| 388,051
| 2,599,532,381
| 6,698.945193
|
CC-MAIN-2024-22
| 386,484
| 2,509,710,496
| 6,493.698306
|
CC-MAIN-2022-40
| 382,918
| 2,504,651,848
| 6,540.961376
|
CC-MAIN-2024-26
| 364,078
| 2,217,241,826
| 6,090.018694
|
CC-MAIN-2025-05
| 362,578
| 2,393,598,127
| 6,601.608832
|
CC-MAIN-2017-39
| 322,333
| 1,054,527,177
| 3,271.545814
|
CC-MAIN-2019-22
| 316,784
| 1,643,390,628
| 5,187.732423
|
CC-MAIN-2024-38
| 310,850
| 2,082,660,003
| 6,699.887415
|
CC-MAIN-2020-50
| 303,877
| 1,575,253,517
| 5,183.852404
|
CC-MAIN-2020-16
| 302,641
| 1,489,094,734
| 4,920.333775
|
CC-MAIN-2018-43
| 289,143
| 1,421,592,386
| 4,916.572028
|
CC-MAIN-2021-10
| 288,216
| 1,746,272,580
| 6,058.902282
|
CC-MAIN-2018-05
| 276,577
| 841,908,239
| 3,044.028386
|
CC-MAIN-2018-47
| 266,023
| 1,566,959,163
| 5,890.314608
|
CC-MAIN-2021-17
| 263,407
| 1,553,676,484
| 5,898.387226
|
CC-MAIN-2019-26
| 257,965
| 1,447,518,526
| 5,611.298145
|
CC-MAIN-2021-25
| 235,456
| 1,331,229,049
| 5,653.833621
|
CC-MAIN-2018-09
| 215,421
| 1,125,396,055
| 5,224.170601
|
CC-MAIN-2019-18
| 215,291
| 1,173,284,119
| 5,449.759251
|
CC-MAIN-2019-47
| 196,215
| 1,071,277,394
| 5,459.71202
|
CC-MAIN-2019-43
| 190,747
| 1,053,238,700
| 5,521.652765
|
CC-MAIN-2017-30
| 188,619
| 609,293,024
| 3,230.284457
|
CC-MAIN-2019-13
| 187,015
| 1,140,114,461
| 6,096.379761
|
CC-MAIN-2018-30
| 179,059
| 864,963,527
| 4,830.606264
|
CC-MAIN-2017-13
| 176,255
| 746,887,969
| 4,237.542022
|
CC-MAIN-2017-26
| 176,117
| 565,834,975
| 3,212.835643
|
CC-MAIN-2018-13
| 162,985
| 1,143,603,977
| 7,016.62102
|
CC-MAIN-2017-17
| 160,667
| 579,562,569
| 3,607.228423
|
CC-MAIN-2017-34
| 159,250
| 494,939,372
| 3,107.939542
|
CC-MAIN-2017-43
| 153,027
| 468,130,395
| 3,059.135937
|
CC-MAIN-2018-26
| 148,987
| 666,437,866
| 4,473.127629
|
CC-MAIN-2017-47
| 139,423
| 448,745,550
| 3,218.590548
|
CC-MAIN-2021-31
| 138,461
| 751,352,317
| 5,426.454503
|
CC-MAIN-2017-22
| 127,495
| 435,875,358
| 3,418.764328
|
CC-MAIN-2018-17
| 124,766
| 677,669,596
| 5,431.524582
|
CC-MAIN-2018-34
| 116,764
| 340,785,492
| 2,918.58357
|
CC-MAIN-2018-22
| 115,001
| 640,281,722
| 5,567.618734
|
CC-MAIN-2017-51
| 73,364
| 215,125,399
| 2,932.301933
|
CC-MAIN-2017-09
| 56,020
| 245,450,697
| 4,381.483345
|
CC-MAIN-2018-39
| 54,460
| 280,576,856
| 5,151.980463
|
CC-MAIN-2020-34
| 51,384
| 297,147,928
| 5,782.888214
|
CC-MAIN-2020-24
| 50,437
| 275,274,544
| 5,457.789797
|
CC-MAIN-2019-35
| 50,095
| 292,027,709
| 5,829.478171
|
CC-MAIN-2020-10
| 49,226
| 286,695,347
| 5,824.063442
|
CC-MAIN-2020-29
| 46,291
| 249,437,632
| 5,388.469292
|
CC-MAIN-2019-51
| 43,407
| 261,043,279
| 6,013.852121
|
CC-MAIN-2019-30
| 43,101
| 245,686,512
| 5,700.250853
|
CC-MAIN-2013-20
| 39,804
| 118,600,357
| 2,979.609009
|
CC-MAIN-2017-04
| 35,523
| 149,840,312
| 4,218.120992
|
CC-MAIN-2020-05
| 34,703
| 189,431,917
| 5,458.661124
|
CC-MAIN-2016-44
| 18,632
| 85,946,138
| 4,612.824066
|
CC-MAIN-2013-48
| 17,871
| 49,914,998
| 2,793.072464
|
CC-MAIN-2016-50
| 13,109
| 54,066,806
| 4,124.40354
|
CC-MAIN-2016-40
| 12,456
| 60,500,393
| 4,857.128532
|
CC-MAIN-2014-23
| 12,126
| 41,959,808
| 3,460.317335
|
CC-MAIN-2014-15
| 11,895
| 39,806,395
| 3,346.481295
|
CC-MAIN-2014-10
| 11,653
| 42,145,707
| 3,616.725907
|
CC-MAIN-2014-42
| 10,714
| 36,048,527
| 3,364.61891
|
CC-MAIN-2016-30
| 10,276
| 58,711,433
| 5,713.452024
|
CC-MAIN-2016-22
| 9,572
| 47,541,100
| 4,966.684079
|
CC-MAIN-2016-36
| 8,767
| 42,968,841
| 4,901.20235
|
CC-MAIN-2014-35
| 8,682
| 29,144,125
| 3,356.844621
|
CC-MAIN-2014-41
| 8,261
| 32,545,472
| 3,939.652827
|
CC-MAIN-2016-26
| 8,122
| 47,306,465
| 5,824.484733
|
CC-MAIN-2015-11
| 6,940
| 27,256,863
| 3,927.501873
|
CC-MAIN-2014-52
| 6,612
| 26,169,471
| 3,957.875227
|
CC-MAIN-2015-14
| 6,401
| 21,916,638
| 3,423.939697
|
CC-MAIN-2014-49
| 6,369
| 21,587,195
| 3,389.416706
|
CC-MAIN-2016-18
| 5,912
| 21,739,087
| 3,677.112145
|
CC-MAIN-2015-06
| 5,451
| 16,672,945
| 3,058.694735
|
CC-MAIN-2015-18
| 5,365
| 18,649,341
| 3,476.112022
|
CC-MAIN-2016-07
| 4,687
| 18,883,342
| 4,028.87604
|
End of preview. Expand
in Data Studio
Statistics for HuggingFaceFW/finepdfs-edu (English (Latin script))
Aggregate statistics computed using Polars streaming on the HuggingFaceFW/finepdfs-edu dataset.
Performance
Processed 23,023,372 documents in 2608.95 seconds.
| Step | Time |
|---|---|
| Global stats | 686.56s |
| Language stats | 634.40s |
| Extractor stats | 648.34s |
| Dump stats | 639.65s |
| Total | 2608.95s |
Speed comes from Polars only reading metadata columns (not the
textcolumn), thanks to Parquet's columnar format and lazy evaluation.
How This Was Generated
This dataset demonstrates Polars streaming aggregation with HuggingFace Hub integration.
Thanks to polars#25521, scan_parquet
with hf:// paths now uses far fewer API calls (139 → 1 for finepdfs-edu).
uv run finepdfs-stats.py --lang eng_Latn --output-repo davanstrien/finepdfs-eng-stats
Global Summary
| Metric | Value |
|---|---|
| Language | English (Latin script) (eng_Latn) |
| Total Documents | 23,023,372 |
| Total Tokens | 129,470,001,828 |
| Average Tokens/Doc | 5,623 |
| Truncated Documents | 5,105,113 (22.2%) |
| Unique Languages | 1 |
| Unique Extractors | 2 |
| Unique Dumps | 106 |
Configs
global_stats- Overall summary (1 row)language_stats- Per-language aggregationsextractor_stats- Per-extractor aggregationsdump_stats- Per-dump aggregations
Usage
from datasets import load_dataset
# Load all configs
global_stats = load_dataset("davanstrien/finepdfs-eng-stats", "global_stats")
lang_stats = load_dataset("davanstrien/finepdfs-eng-stats", "language_stats")
extractor_stats = load_dataset("davanstrien/finepdfs-eng-stats", "extractor_stats")
dump_stats = load_dataset("davanstrien/finepdfs-eng-stats", "dump_stats")
Source
- Dataset: HuggingFaceFW/finepdfs-edu
- Language: eng_Latn
- Script: finepdfs-stats.py
- Downloads last month
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