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id string | source string | len int64 | uniqChar int64 | tokens int64 | sentences int64 | entropy float64 | quality float64 | compress float64 | dictHit float64 | alpha float64 | vowel float64 | ascii float64 | text string | score float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
00007d34fd760302c32c2634d42fc1bd912cd06d33900e97ef9141856ca4165f | LOC | 164,237 | 63 | 29,582 | 1,304 | 102.39 | 99.61 | 88.23 | 97.16 | 99.22 | 99.74 | 99.62 | E
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^ i... | -18.03 |
0000de962d6ac40e999eb55681824101473f5fd299f4f59866c77ca9e3b4c915 | LOC | 47,620 | 64 | 8,830 | 1,515 | 108.47 | 86.81 | 87.28 | 92.11 | 83.44 | 95.75 | 96.6 | "t 1215 \n1595 \n»py 1 \n\n\n\nINSTRUCTIONS \n\n\n\nSPECIAL RIVER OBSERVERS \n\n\n\nSIGNAL SERVICE.(...TRUNCATED) | -40.1 |
000118a7da094babd34de2bc68103a5257bee8eb7bb62fe1b741f4229b5af990 | Brix | 302,265 | 64 | 53,613 | 2,773 | 109.32 | 98.47 | 96.74 | 89.88 | 94.55 | 97.73 | 98.81 | "Dore-I;trier—,\n\n-MUIR\nWeymouth\n\nClan.\nWeymouth\nDorohester\nBrtdpt dp\nMdn Newt.\nErershot\(...TRUNCATED) | -30.08 |
00011ef6b1f762c81a1203c86595bb62852feda98737876daebf38c481337595 | Brix | 326,250 | 64 | 58,445 | 3,421 | 108.95 | 99.48 | 95.87 | 92.9 | 96.86 | 98.04 | 99.38 | "SHIRLEY.\n\nSERIOUS TRAP ACCIDINT. —A trap accident by\nwhich a young lady was seriously injured,(...TRUNCATED) | -25.38 |
000197b5177a37f24a83d99511176703beeb69374f07353303db9cb264004c78 | LOC | 51,771 | 63 | 8,455 | 518 | 104.28 | 100.16 | 85.58 | 95.86 | 96.22 | 99.39 | 99.69 | "ITU \n\n\n\n^ \n\n\n\n\n\n\nJ/$lo \n\n\n\nMASSA \n\n\n\n\nSETTS \n\n\n\nInstitute of Technology, \n(...TRUNCATED) | -27.7 |
0002252498e4795644021a3fe48d08e788a03fba1c5b004312e1e3d0060697bc | HMD | 58,511 | 64 | 10,206 | 413 | 102.78 | 102.62 | 94.45 | 92.51 | 98.59 | 99.08 | 99.02 | "• 1,\nmoo . •\n•••,\n•\n• K••••r • ',Ai .\nULL •\n_ _ _ _\n\n/' 1M Mil br(...TRUNCATED) | -21.75 |
0002e4e9b806669403d0a2af5c8bd03a900cc86e4a972f7a5c7825da9e1e6cbf | Brix | 381,830 | 64 | 66,206 | 5,227 | 114.13 | 95.74 | 95.77 | 90.87 | 92.97 | 96.49 | 98.33 | "w.\n\nBANNER (LATE HUGH BANNET\n\nACCOUNTANT,\nESTATE AND INSURANCE AGENT,\n19 , SLATER-STREMT,\nLI(...TRUNCATED) | -35.44 |
00035e261fc334c071601319b203341ab9f5a04b7da7a1ee8fefae31b2830556 | LOC | 99,531 | 63 | 17,875 | 846 | 102.93 | 100.21 | 89.47 | 96.1 | 97.89 | 99.53 | 99.39 | "\n■^s \n\n\n\nl^H \n\n\n\n002 953 371 4 \n\n\n\nHoUinga: Corp. \npH8.5 \n\n\n\n^ \n\n\n\n5F 375 \(...TRUNCATED) | -20.76 |
00038929030c3f05886fa4fbdadaa56317cb70455beef285661fd2e70941f7f1 | Brix | 485,896 | 64 | 87,231 | 4,846 | 109.11 | 97.71 | 93.17 | 92.98 | 93.01 | 97.7 | 99.36 | "MARYLEBONE.\n\nA NEW WORD FOR THE SLANG DICTIONARY.—CaIeb\nThompson, of 11, Robert-street, Hampst(...TRUNCATED) | -30.6 |
0003ac6a92566f4b05d57357f014df0f98092098be4385e581732809991be757 | Brix | 82,181 | 64 | 13,376 | 451 | 109.78 | 86.32 | 105 | 80.71 | 87.81 | 95.44 | 91.96 | "/)\n15.\ning\n~\nA WONDERFUL DISCOVCRY FOlt CURLING AND\n\nMAKING TUE HAIRGYLOW:-\n(Patronised by t(...TRUNCATED) | -45.18 |
End of preview.
Vintage dataset
Composed of documents from:
- biglam/hmd_newspapers
- biglam/lampeter_corpus
- TheBritishLibrary/blbooks
- dell-research-harvard/AmericanStories
- dell-research-harvard/NewsWire
- storytracer/LoC-PD-Books
- some books from https://ota.ox.ac.uk/
The perfect score is larger than 0 (zero). The score is composed of how far the metrics are from 100, either smaller of larger than 100, except for quality which can be larger than 0.
Short documents
Filtered documents smaller than 32k characters.
|
| Rows: 4,461,116
|
| Sources (7):
| - HMD: 2,228,810
| - British: 1,952,415
| - NewsWire: 149,029
| - Brix: 118,933
| - LOC-PC: 6,029
| - American: 5,864
| - Lampeter: 36
|
| Metric | Mean | Min | P5 | P95 | Max |
|--------------|---------|---------|--------|----------|----------|
| Char length | 3,792.9 | 64.0 | 306.0 | 16,641.0 | 31,245.0 |
| Unique chars | 50.39 | 8.00 | 37.00 | 63.00 | 64.00 |
| Token count | 679.5 | 7.0 | 54.0 | 2,955.0 | 6,463.0 |
| Sentences | 35.89 | 2.00 | 4.00 | 149.00 | 2,742.00 |
| Quality | 97.38 | 50.00 | 81.52 | 104.09 | 113.78 |
| Compression | 105.55 | 56.56 | 95.09 | 122.75 | 152.73 |
| Entropy | 105.08 | 56.74 | 97.43 | 116.30 | 126.83 |
| Dict hit | 90.61 | 25.00 | 75.42 | 98.15 | 100.00 |
| Alpha | 94.62 | 25.00 | 78.59 | 99.68 | 100.00 |
| Vowel | 97.30 | 27.50 | 89.28 | 100.00 | 100.00 |
| ASCII | 98.76 | 25.11 | 94.67 | 100.00 | 100.00 |
| Score | -29.05 | -100.00 | -70.11 | -9.39 | 17.12 |
Long documents
Filtered large documents, smaller than 10mil characters.
|
| Rows: 198,833
|
| Sources (5):
| - Brix: 79,302
| - LOC: 57,924
| - HMD: 51,050
| - OTA: 10,473
| - Lampeter: 84
|
| Metric | Mean | Min | P5 | P95 | Max |
|--------------|-----------|----------|----------|-----------|-------------|
| Char length | 254,605.2 | 19,101.0 | 32,783.6 | 769,263.4 | 8,465,466.0 |
| Unique chars | 63.54 | 44.00 | 62.00 | 64.00 | 64.00 |
| Token count | 46,145.9 | 3,369.0 | 5,870.0 | 140,146.8 | 1,834,218.0 |
| Sentences | 2,732.34 | 11.00 | 220.00 | 7,748.00 | 253,533.00 |
| Quality | 96.65 | 25.15 | 88.27 | 101.60 | 104.81 |
| Compression | 93.62 | 60.18 | 85.62 | 102.58 | 114.30 |
| Entropy | 107.11 | 73.54 | 101.03 | 113.90 | 122.83 |
| Dict hit | 91.74 | 27.65 | 81.71 | 97.49 | 99.66 |
| Alpha | 95.29 | 25.20 | 88.93 | 99.27 | 100.00 |
| Vowel | 97.61 | 43.64 | 94.25 | 99.75 | 100.00 |
| ASCII | 97.95 | 15.65 | 93.00 | 99.84 | 100.00 |
| Score | -28.23 | -99.86 | -45.55 | -15.99 | -6.64 |
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