Dmitry Chaplinsky
commited on
Commit
•
beaaafa
1
Parent(s):
dace661
Script to calculate stats, current stats in readme and a separate file
Browse files- README.md +118 -2
- bin/get_stats.py +55 -0
- every_prompt_stats.csv +111 -0
README.md
CHANGED
@@ -26,14 +26,130 @@ You'll need to apply extra cleansing/evaluation of the instructions you've got b
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**Caveat emptor**: the format of the FAQs and HowTo's in the dataset might vary greatly. Account for that. To understand potential pitfalls, look at the jmespath expression at the `export_structured_data.py`.
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## Recreating the results
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1. Clone the repo without the LFS files.
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2. Install requirements from `requirements.txt`.
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3. Install `pv` and `parallel`.
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4. Run `bin/get_seed_urls.sh` to filter urls of interest out of 1.6TB of compressed data. Don't worry about disk space. Worry about the traffic. That will take around 5h on decent connection.
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5. Run scrapy spider like this `scrapy crawl webdatacommons_org -s WEB_DATA_COMMONS=web_data_commons_urls_sample.txt -L INFO -o webdatacommons.jsonlines` with `WEB_DATA_COMMONS` pointing to the list of seed URLs from step 4. That might take up to a few weeks.
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6. Run `python extract_relevant_structured_data.py --num-threads 12 webdatacommons.jsonlines relevant.jsonlines.bz2`. That's fast, probably around 30 minutes.
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7. Run `python export_structured_data.py relevant.jsonlines.bz2 extruct_out.jsonlines.bz2` to obtain the final version of the dataset.
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## Advices
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If you want to recreate the results:
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**Caveat emptor**: the format of the FAQs and HowTo's in the dataset might vary greatly. Account for that. To understand potential pitfalls, look at the jmespath expression at the `export_structured_data.py`.
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+
## Detailed stats (with breakdown by language and data type)
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| language | FAQPage count | FAQPage text length | HowTo count | HowTo text length | items count | text length |
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| --- | --- | --- | --- | --- | --- | --- |
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| en | 592730 | 1186748927 | 29017 | 77135350 | 621747 | 1263884277 |
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| de | 83184 | 213931486 | 3370 | 13905977 | 86554 | 227837463 |
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| es | 63237 | 113906536 | 6466 | 30517773 | 69703 | 144424309 |
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| fr | 65081 | 141638675 | 3672 | 21632272 | 68753 | 163270947 |
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| ja | 55439 | 46231152 | 1402 | 1678468 | 56841 | 47909620 |
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| ru | 41271 | 70947161 | 2403 | 12805308 | 43674 | 83752469 |
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| nl | 34066 | 102719276 | 2007 | 11078079 | 36073 | 113797355 |
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| it | 23076 | 43968063 | 2465 | 13696136 | 25541 | 57664199 |
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| vi | 23115 | 38603954 | 720 | 3224051 | 23835 | 41828005 |
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| zh | 22496 | 21111729 | 1112 | 1513344 | 23608 | 22625073 |
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| pl | 19424 | 41446645 | 306 | 419787 | 19730 | 41866432 |
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| fa | 17263 | 31294557 | 1819 | 1915117 | 19082 | 33209674 |
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| tr | 13619 | 20040069 | 722 | 418695 | 14341 | 20458764 |
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| und | 12256 | 1032156 | 322 | 8941 | 12578 | 1041097 |
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| pt | 10784 | 26163387 | 1775 | 8295306 | 12559 | 34458693 |
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| ro | 10536 | 16405628 | 75 | 89946 | 10611 | 16495574 |
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| id | 8256 | 14353165 | 1871 | 13055561 | 10127 | 27408726 |
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| ko | 8348 | 7624222 | 616 | 1533830 | 8964 | 9158052 |
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| sv | 8007 | 15926376 | 390 | 638054 | 8397 | 16564430 |
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| ar | 6950 | 10240266 | 1241 | 7517175 | 8191 | 17757441 |
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| da | 7691 | 15277244 | 408 | 450176 | 8099 | 15727420 |
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| cs | 7546 | 13201121 | 480 | 2471544 | 8026 | 15672665 |
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| fi | 7767 | 14468764 | 199 | 170138 | 7966 | 14638902 |
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| hi | 4517 | 4307716 | 683 | 4294129 | 5200 | 8601845 |
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| hu | 4866 | 10639836 | 125 | 61118 | 4991 | 10700954 |
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| el | 4600 | 10555382 | 103 | 55576 | 4703 | 10610958 |
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| no | 4357 | 8426887 | 179 | 354796 | 4536 | 8781683 |
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| uk | 4401 | 6925331 | 90 | 37285 | 4491 | 6962616 |
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| iw | 4056 | 7723904 | 36 | 35305 | 4092 | 7759209 |
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| bg | 3620 | 10154727 | 41 | 31268 | 3661 | 10185995 |
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| sk | 2639 | 4394140 | 65 | 32527 | 2704 | 4426667 |
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| th | 1877 | 3823867 | 613 | 3171583 | 2490 | 6995450 |
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| mr | 2002 | 2274197 | 57 | 75906 | 2059 | 2350103 |
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| mt | 1886 | 3761332 | 14 | 5443 | 1900 | 3766775 |
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| cy | 1524 | 3171667 | 25 | 11641 | 1549 | 3183308 |
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| bs | 1366 | 2031881 | 34 | 23298 | 1400 | 2055179 |
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| et | 1299 | 1694117 | 5 | 2005 | 1304 | 1696122 |
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| ms | 989 | 1927545 | 174 | 720492 | 1163 | 2648037 |
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| ca | 1068 | 1614073 | 62 | 34072 | 1130 | 1648145 |
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| lt | 1056 | 2272916 | 44 | 57169 | 1100 | 2330085 |
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| ne | 966 | 771410 | 29 | 28569 | 995 | 799979 |
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| hr | 796 | 1394174 | 15 | 10191 | 811 | 1404365 |
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| fy | 743 | 633705 | 24 | 5823 | 767 | 639528 |
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| lb | 703 | 1133527 | 18 | 3985 | 721 | 1137512 |
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| gl | 628 | 1159618 | 34 | 9049 | 662 | 1168667 |
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| mn | 644 | 1174921 | 11 | 3592 | 655 | 1178513 |
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| la | 635 | 363380 | 13 | 2009 | 648 | 365389 |
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| af | 577 | 444351 | 38 | 14403 | 615 | 458754 |
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| sl | 451 | 1708497 | 50 | 50361 | 501 | 1758858 |
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| ht | 455 | 223768 | 13 | 4406 | 468 | 228174 |
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| lv | 317 | 1017694 | 32 | 31983 | 349 | 1049677 |
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| gd | 273 | 295170 | 52 | 20374 | 325 | 315544 |
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| sr | 287 | 367782 | 23 | 5177 | 310 | 372959 |
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| co | 288 | 284629 | 12 | 3530 | 300 | 288159 |
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| az | 268 | 273548 | 9 | 13011 | 277 | 286559 |
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| fil | 210 | 165520 | 63 | 77100 | 273 | 242620 |
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| jv | 244 | 153411 | 14 | 75932 | 258 | 229343 |
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| sn | 239 | 175459 | 10 | 8890 | 249 | 184349 |
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| bn | 190 | 301199 | 42 | 23451 | 232 | 324650 |
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| ga | 198 | 263174 | 30 | 12905 | 228 | 276079 |
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| mg | 201 | 53082 | 18 | 6141 | 219 | 59223 |
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| hi-Latn | 194 | 250495 | 4 | 33091 | 198 | 283586 |
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| hmn | 173 | 793850 | 16 | 5902 | 189 | 799752 |
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| ka | 162 | 262305 | 8 | 3427 | 170 | 265732 |
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| ig | 136 | 129243 | 10 | 2941 | 146 | 132184 |
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| is | 139 | 236415 | 4 | 1277 | 143 | 237692 |
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| ta | 129 | 155042 | 12 | 4079 | 141 | 159121 |
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| kk | 102 | 152629 | 28 | 11885 | 130 | 164514 |
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| eu | 118 | 130847 | 10 | 3522 | 128 | 134369 |
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| eo | 121 | 69071 | 6 | 1885 | 127 | 70956 |
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| ur | 93 | 259680 | 33 | 20499 | 126 | 280179 |
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| so | 112 | 203877 | 6 | 2151 | 118 | 206028 |
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| tg | 99 | 73437 | 16 | 5539 | 115 | 78976 |
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| mk | 29 | 62730 | 84 | 391780 | 113 | 454510 |
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| be | 100 | 88386 | 8 | 2193 | 108 | 90579 |
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| sm | 100 | 1309239 | 8 | 2778 | 108 | 1312017 |
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| uz | 93 | 116820 | 7 | 2987 | 100 | 119807 |
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| zu | 84 | 136023 | 9 | 2744 | 93 | 138767 |
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| haw | 81 | 59685 | 6 | 822 | 87 | 60507 |
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| sq | 74 | 120593 | 12 | 6205 | 86 | 126798 |
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| ny | 78 | 19403 | 6 | 2046 | 84 | 21449 |
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| hy | 66 | 81675 | 10 | 3613 | 76 | 85288 |
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| ha | 44 | 84457 | 19 | 68032 | 63 | 152489 |
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| ru-Latn | 60 | 40266 | 1 | 61 | 61 | 40327 |
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| el-Latn | 57 | 55657 | 4 | 342 | 61 | 55999 |
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| zh-Latn | 58 | 27522 | 1 | 66 | 59 | 27588 |
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| sd | 52 | 51341 | 7 | 2044 | 59 | 53385 |
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| su | 50 | 17291 | 7 | 2358 | 57 | 19649 |
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| ku | 47 | 23147 | 6 | 1998 | 53 | 25145 |
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| bg-Latn | 48 | 15419 | 1 | 414 | 49 | 15833 |
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| st | 25 | 65162 | 19 | 6346 | 44 | 71508 |
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| yo | 37 | 103685 | 6 | 1790 | 43 | 105475 |
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| ceb | 41 | 72950 | 1 | 107 | 42 | 73057 |
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| ky | 30 | 23062 | 10 | 3679 | 40 | 26741 |
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| te | 32 | 42803 | 7 | 2558 | 39 | 45361 |
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| yi | 32 | 227267 | 7 | 2443 | 39 | 229710 |
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| mi | 26 | 10132 | 11 | 2915 | 37 | 13047 |
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| gu | 25 | 37857 | 10 | 4608 | 35 | 42465 |
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| ja-Latn | 33 | 17560 | 2 | 88 | 35 | 17648 |
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| sw | 26 | 17579 | 8 | 2726 | 34 | 20305 |
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| xh | 28 | 46466 | 4 | 1409 | 32 | 47875 |
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| ml | 16 | 33198 | 6 | 2721 | 22 | 35919 |
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| ps | 10 | 7671 | 12 | 2642 | 22 | 10313 |
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| am | 6 | 8017 | 8 | 1987 | 14 | 10004 |
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| kn | 5 | 22197 | 9 | 3523 | 14 | 25720 |
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| km | 7 | 8936 | 6 | 1879 | 13 | 10815 |
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| pa | 10 | 26617 | 3 | 1100 | 13 | 27717 |
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| si | 5 | 24000 | 5 | 1722 | 10 | 25722 |
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| lo | 1 | 6204 | 7 | 2115 | 8 | 8319 |
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| my | 3 | 14663 | 3 | 1179 | 6 | 15842 |
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|
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## Recreating the results
|
144 |
1. Clone the repo without the LFS files.
|
145 |
2. Install requirements from `requirements.txt`.
|
146 |
3. Install `pv` and `parallel`.
|
147 |
4. Run `bin/get_seed_urls.sh` to filter urls of interest out of 1.6TB of compressed data. Don't worry about disk space. Worry about the traffic. That will take around 5h on decent connection.
|
148 |
5. Run scrapy spider like this `scrapy crawl webdatacommons_org -s WEB_DATA_COMMONS=web_data_commons_urls_sample.txt -L INFO -o webdatacommons.jsonlines` with `WEB_DATA_COMMONS` pointing to the list of seed URLs from step 4. That might take up to a few weeks.
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6. Run `python bin/extract_relevant_structured_data.py --num-threads 12 webdatacommons.jsonlines relevant.jsonlines.bz2`. That's fast, probably around 30 minutes.
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7. Run `python bin/export_structured_data.py relevant.jsonlines.bz2 extruct_out.jsonlines.bz2` to obtain the final version of the dataset.
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8. Optionally you can calculate the resulting stats like that: `python bin/get_stats.py extruct_out.jsonlines.bz2 every_prompt_stats.csv`
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## Advices
|
155 |
If you want to recreate the results:
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bin/get_stats.py
ADDED
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import argparse
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import csv
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from collections import defaultdict
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import json
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from tqdm import tqdm
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import smart_open
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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description="Calculate instructions stats for a large JSONL file."
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)
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parser.add_argument("input_file", help="path to input JSONL file")
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parser.add_argument("output_file", help="path to output CSV file")
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args = parser.parse_args()
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stats = defaultdict(lambda: defaultdict(int))
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with smart_open.open(args.input_file, "rt", encoding="utf-8") as reader:
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for item in tqdm(map(json.loads, reader)):
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stats[item["language"]][f"{item['@type']} count"] += 1
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stats[item["language"]][f"{item['@type']} text length"] += item[
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"text_length"
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]
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stats[item["language"]]["items count"] += 1
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stats[item["language"]]["text length"] += item["text_length"]
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with smart_open.open(args.output_file, "wt", encoding="utf-8") as writer:
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w = csv.DictWriter(
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writer,
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fieldnames=[
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"language",
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"FAQPage count",
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"FAQPage text length",
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"HowTo count",
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"HowTo text length",
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"items count",
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"text length",
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],
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)
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w.writeheader()
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for language, language_stats in stats.items():
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w.writerow(
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{
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"language": language,
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"FAQPage count": language_stats["FAQPage count"],
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"FAQPage text length": language_stats["FAQPage text length"],
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"HowTo count": language_stats["HowTo count"],
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"HowTo text length": language_stats["HowTo text length"],
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"items count": language_stats["items count"],
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"text length": language_stats["text length"],
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}
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)
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every_prompt_stats.csv
ADDED
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"language","FAQPage count","FAQPage text length","HowTo count","HowTo text length","items count","text length"
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"en",592730,1186748927,29017,77135350,621747,1263884277
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"de",83184,213931486,3370,13905977,86554,227837463
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"es",63237,113906536,6466,30517773,69703,144424309
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"fr",65081,141638675,3672,21632272,68753,163270947
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"ja",55439,46231152,1402,1678468,56841,47909620
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"ru",41271,70947161,2403,12805308,43674,83752469
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"nl",34066,102719276,2007,11078079,36073,113797355
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"it",23076,43968063,2465,13696136,25541,57664199
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"vi",23115,38603954,720,3224051,23835,41828005
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"zh",22496,21111729,1112,1513344,23608,22625073
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"pl",19424,41446645,306,419787,19730,41866432
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"fa",17263,31294557,1819,1915117,19082,33209674
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"tr",13619,20040069,722,418695,14341,20458764
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15 |
+
"und",12256,1032156,322,8941,12578,1041097
|
16 |
+
"pt",10784,26163387,1775,8295306,12559,34458693
|
17 |
+
"ro",10536,16405628,75,89946,10611,16495574
|
18 |
+
"id",8256,14353165,1871,13055561,10127,27408726
|
19 |
+
"ko",8348,7624222,616,1533830,8964,9158052
|
20 |
+
"sv",8007,15926376,390,638054,8397,16564430
|
21 |
+
"ar",6950,10240266,1241,7517175,8191,17757441
|
22 |
+
"da",7691,15277244,408,450176,8099,15727420
|
23 |
+
"cs",7546,13201121,480,2471544,8026,15672665
|
24 |
+
"fi",7767,14468764,199,170138,7966,14638902
|
25 |
+
"hi",4517,4307716,683,4294129,5200,8601845
|
26 |
+
"hu",4866,10639836,125,61118,4991,10700954
|
27 |
+
"el",4600,10555382,103,55576,4703,10610958
|
28 |
+
"no",4357,8426887,179,354796,4536,8781683
|
29 |
+
"uk",4401,6925331,90,37285,4491,6962616
|
30 |
+
"iw",4056,7723904,36,35305,4092,7759209
|
31 |
+
"bg",3620,10154727,41,31268,3661,10185995
|
32 |
+
"sk",2639,4394140,65,32527,2704,4426667
|
33 |
+
"th",1877,3823867,613,3171583,2490,6995450
|
34 |
+
"mr",2002,2274197,57,75906,2059,2350103
|
35 |
+
"mt",1886,3761332,14,5443,1900,3766775
|
36 |
+
"cy",1524,3171667,25,11641,1549,3183308
|
37 |
+
"bs",1366,2031881,34,23298,1400,2055179
|
38 |
+
"et",1299,1694117,5,2005,1304,1696122
|
39 |
+
"ms",989,1927545,174,720492,1163,2648037
|
40 |
+
"ca",1068,1614073,62,34072,1130,1648145
|
41 |
+
"lt",1056,2272916,44,57169,1100,2330085
|
42 |
+
"ne",966,771410,29,28569,995,799979
|
43 |
+
"hr",796,1394174,15,10191,811,1404365
|
44 |
+
"fy",743,633705,24,5823,767,639528
|
45 |
+
"lb",703,1133527,18,3985,721,1137512
|
46 |
+
"gl",628,1159618,34,9049,662,1168667
|
47 |
+
"mn",644,1174921,11,3592,655,1178513
|
48 |
+
"la",635,363380,13,2009,648,365389
|
49 |
+
"af",577,444351,38,14403,615,458754
|
50 |
+
"sl",451,1708497,50,50361,501,1758858
|
51 |
+
"ht",455,223768,13,4406,468,228174
|
52 |
+
"lv",317,1017694,32,31983,349,1049677
|
53 |
+
"gd",273,295170,52,20374,325,315544
|
54 |
+
"sr",287,367782,23,5177,310,372959
|
55 |
+
"co",288,284629,12,3530,300,288159
|
56 |
+
"az",268,273548,9,13011,277,286559
|
57 |
+
"fil",210,165520,63,77100,273,242620
|
58 |
+
"jv",244,153411,14,75932,258,229343
|
59 |
+
"sn",239,175459,10,8890,249,184349
|
60 |
+
"bn",190,301199,42,23451,232,324650
|
61 |
+
"ga",198,263174,30,12905,228,276079
|
62 |
+
"mg",201,53082,18,6141,219,59223
|
63 |
+
"hi-Latn",194,250495,4,33091,198,283586
|
64 |
+
"hmn",173,793850,16,5902,189,799752
|
65 |
+
"ka",162,262305,8,3427,170,265732
|
66 |
+
"ig",136,129243,10,2941,146,132184
|
67 |
+
"is",139,236415,4,1277,143,237692
|
68 |
+
"ta",129,155042,12,4079,141,159121
|
69 |
+
"kk",102,152629,28,11885,130,164514
|
70 |
+
"eu",118,130847,10,3522,128,134369
|
71 |
+
"eo",121,69071,6,1885,127,70956
|
72 |
+
"ur",93,259680,33,20499,126,280179
|
73 |
+
"so",112,203877,6,2151,118,206028
|
74 |
+
"tg",99,73437,16,5539,115,78976
|
75 |
+
"mk",29,62730,84,391780,113,454510
|
76 |
+
"be",100,88386,8,2193,108,90579
|
77 |
+
"sm",100,1309239,8,2778,108,1312017
|
78 |
+
"uz",93,116820,7,2987,100,119807
|
79 |
+
"zu",84,136023,9,2744,93,138767
|
80 |
+
"haw",81,59685,6,822,87,60507
|
81 |
+
"sq",74,120593,12,6205,86,126798
|
82 |
+
"ny",78,19403,6,2046,84,21449
|
83 |
+
"hy",66,81675,10,3613,76,85288
|
84 |
+
"ha",44,84457,19,68032,63,152489
|
85 |
+
"ru-Latn",60,40266,1,61,61,40327
|
86 |
+
"el-Latn",57,55657,4,342,61,55999
|
87 |
+
"zh-Latn",58,27522,1,66,59,27588
|
88 |
+
"sd",52,51341,7,2044,59,53385
|
89 |
+
"su",50,17291,7,2358,57,19649
|
90 |
+
"ku",47,23147,6,1998,53,25145
|
91 |
+
"bg-Latn",48,15419,1,414,49,15833
|
92 |
+
"st",25,65162,19,6346,44,71508
|
93 |
+
"yo",37,103685,6,1790,43,105475
|
94 |
+
"ceb",41,72950,1,107,42,73057
|
95 |
+
"ky",30,23062,10,3679,40,26741
|
96 |
+
"te",32,42803,7,2558,39,45361
|
97 |
+
"yi",32,227267,7,2443,39,229710
|
98 |
+
"mi",26,10132,11,2915,37,13047
|
99 |
+
"gu",25,37857,10,4608,35,42465
|
100 |
+
"ja-Latn",33,17560,2,88,35,17648
|
101 |
+
"sw",26,17579,8,2726,34,20305
|
102 |
+
"xh",28,46466,4,1409,32,47875
|
103 |
+
"ml",16,33198,6,2721,22,35919
|
104 |
+
"ps",10,7671,12,2642,22,10313
|
105 |
+
"am",6,8017,8,1987,14,10004
|
106 |
+
"kn",5,22197,9,3523,14,25720
|
107 |
+
"km",7,8936,6,1879,13,10815
|
108 |
+
"pa",10,26617,3,1100,13,27717
|
109 |
+
"si",5,24000,5,1722,10,25722
|
110 |
+
"lo",1,6204,7,2115,8,8319
|
111 |
+
"my",3,14663,3,1179,6,15842
|