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Datasets:
HPLT
/
HPLT3.0

Tasks:
Fill-Mask
Text Generation
Sub-tasks:
language-modeling
Languages:
Achinese
Tunisian Arabic
Afrikaans
Size:
n>1T
ArXiv:
Tags:
web-crawled
License:
Dataset card Files
xet
Community
3
Andrey Kutuzov commited on
Commit
62f4f98
·
1 Parent(s): 2109f42

Automated statistics and links

Browse files
Files changed (1) hide show
  1. README.md +430 -23
README.md CHANGED
@@ -16,7 +16,6 @@ language:
16
  - als
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  - amh
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  - apc
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- - ara
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  - arb
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  - ars
22
  - ary
@@ -56,7 +55,6 @@ language:
56
  - ell
57
  - eng
58
  - epo
59
- - est
60
  - eus
61
  - ewe
62
  - fao
@@ -71,7 +69,6 @@ language:
71
  - gla
72
  - gle
73
  - glg
74
- - grn
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  - gug
76
  - guj
77
  - hat
@@ -106,7 +103,6 @@ language:
106
  - kmb
107
  - kmr
108
  - knc
109
- - kon
110
  - kor
111
  - ktu
112
  - lao
@@ -181,7 +177,6 @@ language:
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  - tat
182
  - tel
183
  - tgk
184
- - tgl
185
  - tha
186
  - tir
187
  - tpi
@@ -191,7 +186,6 @@ language:
191
  - tum
192
  - tur
193
  - twi
194
- - tzm
195
  - uig
196
  - ukr
197
  - umb
@@ -206,7 +200,6 @@ language:
206
  - yor
207
  - yue
208
  - zgh
209
- - zho
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  - zsm
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  - zul
212
  tags:
@@ -215,8 +208,9 @@ tags:
215
 
216
  <img align="right" src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" alt="HPLT" title="HPLT">
217
 
218
- This is a large-scale collection of web-crawled documents in 198 world languages, produced by the [HPLT project](https://hplt-project.org/).
219
- The source of the data is [Internet Archive](https://archive.org/) and [Common Crawl](https://commoncrawl.org/). For a detailed description of this and previous releases by HPLT, please refer to [our website](https://hplt-project.org/datasets/v3.0).
 
220
 
221
  **NB: the HPLT datasets are not hosted on HuggingFace! See download instructions below.**
222
 
@@ -239,6 +233,19 @@ Except for Chinese, English, and Russian, each language-specific portion has bee
239
  Data processing was performed on dedicated storage and compute resources at the Czech and Norwegian national HPC infrastructures [CESNET](https://www.cesnet.cz/en) and [Sigma2 NRIS](https://www.sigma2.no/), as well as on the EuroHPC [LUMI](https://www.lumi-supercomputer.eu/) system.
240
  The HPLT download site is hosted at the Sigma2 NIRD datalake.
241
 
 
 
 
 
 
 
 
 
 
 
 
 
 
242
  ## Downloading HPLT v3.0
243
 
244
  For each language, the data is organized in smaller shards, sorted by document quality estimates (WDS).
@@ -264,6 +271,206 @@ wget https://data.hplt-project.org/three/sorted/eng_Latn.map
264
  To speed up large downloads, it can be beneficial to use multiple parallel connections, for example using the `--max-threads` option in `wget`.
265
  We recommend to limit download parallelization to 16–32 threads, to avoid server-side rate limitations, which should allow download rates of around 250 gigabytes per hour.
266
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
267
  ## Downloading with HuggingFace Datasets
268
  To load a monolingual portion of the **HPLT v3.0** dataset in the _Huggingface Datasets_ format, you can run the following code to download the dataset files map and then load the `.jsonl.zst` files directly using `load_datasets()`.
269
  The `Datasets` package will then handle downloading of the files.
@@ -369,25 +576,212 @@ ds = load_dataset("json", data_files=source_urls, features=features)
369
  print(ds)
370
  ```
371
 
372
-
373
- ## New in this release compared to HPLT v2
374
- - Reflects substantially more raw web data, primarily from the Common Crawl
375
- - Additional metadata, including more information from the underlying crawl
376
- - Upgrade to Trafilatura 2.0 with empirical fine-tuning of extraction parameters
377
- - Plain-text and structured document representation, in simple, normalized XML
378
- - Better language identification; refined codes for Arabic and Chinese
379
- - Global deduplication for most languages; MinHash cluster size as metadata
380
- - Annotation with Turku web register labels for more than half the languages
381
- - Upgrade to newer, improved Web Docs Scorer (WDS) document quality estimates
382
- - Global sorting within each language by WDS and sharding into WDS bins (10–5)
383
- - Improved filtering for `robots.txt` opt-out, adult content, and credentials
384
- - Improved deduplication pipeline (global deduplication for most languages)
385
-
386
  ## Statistics & validation
387
 
388
  Summary statistics per language are available for download as a structured [manifest.json](https://data.hplt-project.org/three/sorted/manifest.json), also including download links for the individual data files, per-language maps, and sample documents from various quality bins.
389
  Additionally, each language subdirectory provides compressed lists of unique domains, full URLs, and what are called normalized document signatures, together with their frequencies of occurence, for example [nob_Latn/.domains.zst](https://data.hplt-project.org/three/sorted/nob_Latn/.domains.zst), [nob_Latn/.urls.zst](https://data.hplt-project.org/three/sorted/nob_Latn/.urls.zst), and [nob_Latn/.signatures.zst](https://data.hplt-project.org/three/sorted/nob_Latn/.signatures.zst) for Norwegian Bokmål.
390
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
391
  The counts of documents per language or total storage sizes in the above statistics could be used to approximately validate each language sub-directory, but for more thorough validation of individual data files or full downloads, MD5 checksum files are provided with naming conventions parallel to the data and per-language map files.
392
  For example: [nob_Latn/.10_1.jsonl.md5](https://data.hplt-project.org/three/sorted/nob_Latn/.10_1.jsonl.md5) for the first data file in Norwegian Bokmål, and [nob_Latn.md5](https://data.hplt-project.org/three/sorted/nob_Latn.md5) for its full set of data files.
393
 
@@ -410,5 +804,18 @@ Take down: We will comply to legitimate requests by removing the affected source
410
 
411
  * _It is your responsibility that any use of the data complies with any applicable legal framework, such as, among others, the EU Copyright Directive 2019/790 and the General Data Protection Regulation 2018, as amended._
412
 
 
 
 
 
 
 
 
 
 
 
 
 
 
413
  ## Funding
414
  _This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070350 and from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee (grant number 10052546)_
 
16
  - als
17
  - amh
18
  - apc
 
19
  - arb
20
  - ars
21
  - ary
 
55
  - ell
56
  - eng
57
  - epo
 
58
  - eus
59
  - ewe
60
  - fao
 
69
  - gla
70
  - gle
71
  - glg
 
72
  - gug
73
  - guj
74
  - hat
 
103
  - kmb
104
  - kmr
105
  - knc
 
106
  - kor
107
  - ktu
108
  - lao
 
177
  - tat
178
  - tel
179
  - tgk
 
180
  - tha
181
  - tir
182
  - tpi
 
186
  - tum
187
  - tur
188
  - twi
 
189
  - uig
190
  - ukr
191
  - umb
 
200
  - yor
201
  - yue
202
  - zgh
 
203
  - zsm
204
  - zul
205
  tags:
 
208
 
209
  <img align="right" src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" alt="HPLT" title="HPLT">
210
 
211
+ This is a large-scale collection of web-crawled documents in 198 world languages, produced by the [HPLT project](https://hplt-project.org/).
212
+ The source of the data is [Internet Archive](https://archive.org/) and [Common Crawl](https://commoncrawl.org/).
213
+ For a detailed description of this and previous releases by HPLT, please refer to [our website](https://hplt-project.org/datasets/v3.0).
214
 
215
  **NB: the HPLT datasets are not hosted on HuggingFace! See download instructions below.**
216
 
 
233
  Data processing was performed on dedicated storage and compute resources at the Czech and Norwegian national HPC infrastructures [CESNET](https://www.cesnet.cz/en) and [Sigma2 NRIS](https://www.sigma2.no/), as well as on the EuroHPC [LUMI](https://www.lumi-supercomputer.eu/) system.
234
  The HPLT download site is hosted at the Sigma2 NIRD datalake.
235
 
236
+ ## New in this release compared to HPLT v2
237
+ - Reflects substantially more raw web data, primarily from the Common Crawl
238
+ - Additional metadata, including more information from the underlying crawl
239
+ - Upgrade to Trafilatura 2.0 with empirical fine-tuning of extraction parameters
240
+ - Plain-text and structured document representation, in simple, normalized XML
241
+ - Better language identification; refined codes for Arabic and Chinese
242
+ - Global deduplication for most languages; MinHash cluster size as metadata
243
+ - Annotation with Turku web register labels for more than half the languages
244
+ - Upgrade to newer, improved Web Docs Scorer (WDS) document quality estimates
245
+ - Global sorting within each language by WDS and sharding into WDS bins (10–5)
246
+ - Improved filtering for `robots.txt` opt-out, adult content, and credentials
247
+ - Improved deduplication pipeline (global deduplication for most languages)
248
+
249
  ## Downloading HPLT v3.0
250
 
251
  For each language, the data is organized in smaller shards, sorted by document quality estimates (WDS).
 
271
  To speed up large downloads, it can be beneficial to use multiple parallel connections, for example using the `--max-threads` option in `wget`.
272
  We recommend to limit download parallelization to 16–32 threads, to avoid server-side rate limitations, which should allow download rates of around 250 gigabytes per hour.
273
 
274
+ ### Language-specific download links
275
+
276
+ - [ace_Arab](https://data.hplt-project.org/three/sorted/ace_Arab.map)
277
+ - [ace_Latn](https://data.hplt-project.org/three/sorted/ace_Latn.map)
278
+ - [aeb_Arab](https://data.hplt-project.org/three/sorted/aeb_Arab.map)
279
+ - [afr_Latn](https://data.hplt-project.org/three/sorted/afr_Latn.map)
280
+ - [als_Latn](https://data.hplt-project.org/three/sorted/als_Latn.map)
281
+ - [amh_Ethi](https://data.hplt-project.org/three/sorted/amh_Ethi.map)
282
+ - [apc_Arab](https://data.hplt-project.org/three/sorted/apc_Arab.map)
283
+ - [arb_Arab](https://data.hplt-project.org/three/sorted/arb_Arab.map)
284
+ - [ars_Arab](https://data.hplt-project.org/three/sorted/ars_Arab.map)
285
+ - [ary_Arab](https://data.hplt-project.org/three/sorted/ary_Arab.map)
286
+ - [arz_Arab](https://data.hplt-project.org/three/sorted/arz_Arab.map)
287
+ - [asm_Beng](https://data.hplt-project.org/three/sorted/asm_Beng.map)
288
+ - [ast_Latn](https://data.hplt-project.org/three/sorted/ast_Latn.map)
289
+ - [awa_Deva](https://data.hplt-project.org/three/sorted/awa_Deva.map)
290
+ - [ayr_Latn](https://data.hplt-project.org/three/sorted/ayr_Latn.map)
291
+ - [azb_Arab](https://data.hplt-project.org/three/sorted/azb_Arab.map)
292
+ - [azj_Latn](https://data.hplt-project.org/three/sorted/azj_Latn.map)
293
+ - [bak_Cyrl](https://data.hplt-project.org/three/sorted/bak_Cyrl.map)
294
+ - [bam_Latn](https://data.hplt-project.org/three/sorted/bam_Latn.map)
295
+ - [ban_Latn](https://data.hplt-project.org/three/sorted/ban_Latn.map)
296
+ - [bel_Cyrl](https://data.hplt-project.org/three/sorted/bel_Cyrl.map)
297
+ - [bem_Latn](https://data.hplt-project.org/three/sorted/bem_Latn.map)
298
+ - [ben_Beng](https://data.hplt-project.org/three/sorted/ben_Beng.map)
299
+ - [bho_Deva](https://data.hplt-project.org/three/sorted/bho_Deva.map)
300
+ - [bjn_Arab](https://data.hplt-project.org/three/sorted/bjn_Arab.map)
301
+ - [bjn_Latn](https://data.hplt-project.org/three/sorted/bjn_Latn.map)
302
+ - [bod_Tibt](https://data.hplt-project.org/three/sorted/bod_Tibt.map)
303
+ - [bos_Latn](https://data.hplt-project.org/three/sorted/bos_Latn.map)
304
+ - [bug_Latn](https://data.hplt-project.org/three/sorted/bug_Latn.map)
305
+ - [bul_Cyrl](https://data.hplt-project.org/three/sorted/bul_Cyrl.map)
306
+ - [cat_Latn](https://data.hplt-project.org/three/sorted/cat_Latn.map)
307
+ - [ceb_Latn](https://data.hplt-project.org/three/sorted/ceb_Latn.map)
308
+ - [ces_Latn](https://data.hplt-project.org/three/sorted/ces_Latn.map)
309
+ - [cjk_Latn](https://data.hplt-project.org/three/sorted/cjk_Latn.map)
310
+ - [ckb_Arab](https://data.hplt-project.org/three/sorted/ckb_Arab.map)
311
+ - [cmn_Hans](https://data.hplt-project.org/three/sorted/cmn_Hans.map)
312
+ - [cmn_Hant](https://data.hplt-project.org/three/sorted/cmn_Hant.map)
313
+ - [crh_Latn](https://data.hplt-project.org/three/sorted/crh_Latn.map)
314
+ - [cym_Latn](https://data.hplt-project.org/three/sorted/cym_Latn.map)
315
+ - [dan_Latn](https://data.hplt-project.org/three/sorted/dan_Latn.map)
316
+ - [deu_Latn](https://data.hplt-project.org/three/sorted/deu_Latn.map)
317
+ - [dik_Latn](https://data.hplt-project.org/three/sorted/dik_Latn.map)
318
+ - [dyu_Latn](https://data.hplt-project.org/three/sorted/dyu_Latn.map)
319
+ - [dzo_Tibt](https://data.hplt-project.org/three/sorted/dzo_Tibt.map)
320
+ - [ekk_Latn](https://data.hplt-project.org/three/sorted/ekk_Latn.map)
321
+ - [ell_Grek](https://data.hplt-project.org/three/sorted/ell_Grek.map)
322
+ - [eng_Latn](https://data.hplt-project.org/three/sorted/eng_Latn.map)
323
+ - [epo_Latn](https://data.hplt-project.org/three/sorted/epo_Latn.map)
324
+ - [eus_Latn](https://data.hplt-project.org/three/sorted/eus_Latn.map)
325
+ - [ewe_Latn](https://data.hplt-project.org/three/sorted/ewe_Latn.map)
326
+ - [fao_Latn](https://data.hplt-project.org/three/sorted/fao_Latn.map)
327
+ - [fij_Latn](https://data.hplt-project.org/three/sorted/fij_Latn.map)
328
+ - [fil_Latn](https://data.hplt-project.org/three/sorted/fil_Latn.map)
329
+ - [fin_Latn](https://data.hplt-project.org/three/sorted/fin_Latn.map)
330
+ - [fon_Latn](https://data.hplt-project.org/three/sorted/fon_Latn.map)
331
+ - [fra_Latn](https://data.hplt-project.org/three/sorted/fra_Latn.map)
332
+ - [fur_Latn](https://data.hplt-project.org/three/sorted/fur_Latn.map)
333
+ - [fuv_Latn](https://data.hplt-project.org/three/sorted/fuv_Latn.map)
334
+ - [gaz_Latn](https://data.hplt-project.org/three/sorted/gaz_Latn.map)
335
+ - [gla_Latn](https://data.hplt-project.org/three/sorted/gla_Latn.map)
336
+ - [gle_Latn](https://data.hplt-project.org/three/sorted/gle_Latn.map)
337
+ - [glg_Latn](https://data.hplt-project.org/three/sorted/glg_Latn.map)
338
+ - [gug_Latn](https://data.hplt-project.org/three/sorted/gug_Latn.map)
339
+ - [guj_Gujr](https://data.hplt-project.org/three/sorted/guj_Gujr.map)
340
+ - [hat_Latn](https://data.hplt-project.org/three/sorted/hat_Latn.map)
341
+ - [hau_Latn](https://data.hplt-project.org/three/sorted/hau_Latn.map)
342
+ - [heb_Hebr](https://data.hplt-project.org/three/sorted/heb_Hebr.map)
343
+ - [hin_Deva](https://data.hplt-project.org/three/sorted/hin_Deva.map)
344
+ - [hne_Deva](https://data.hplt-project.org/three/sorted/hne_Deva.map)
345
+ - [hrv_Latn](https://data.hplt-project.org/three/sorted/hrv_Latn.map)
346
+ - [hun_Latn](https://data.hplt-project.org/three/sorted/hun_Latn.map)
347
+ - [hye_Armn](https://data.hplt-project.org/three/sorted/hye_Armn.map)
348
+ - [ibo_Latn](https://data.hplt-project.org/three/sorted/ibo_Latn.map)
349
+ - [ilo_Latn](https://data.hplt-project.org/three/sorted/ilo_Latn.map)
350
+ - [ind_Latn](https://data.hplt-project.org/three/sorted/ind_Latn.map)
351
+ - [isl_Latn](https://data.hplt-project.org/three/sorted/isl_Latn.map)
352
+ - [ita_Latn](https://data.hplt-project.org/three/sorted/ita_Latn.map)
353
+ - [jav_Latn](https://data.hplt-project.org/three/sorted/jav_Latn.map)
354
+ - [jpn_Jpan](https://data.hplt-project.org/three/sorted/jpn_Jpan.map)
355
+ - [kab_Latn](https://data.hplt-project.org/three/sorted/kab_Latn.map)
356
+ - [kac_Latn](https://data.hplt-project.org/three/sorted/kac_Latn.map)
357
+ - [kam_Latn](https://data.hplt-project.org/three/sorted/kam_Latn.map)
358
+ - [kan_Knda](https://data.hplt-project.org/three/sorted/kan_Knda.map)
359
+ - [kas_Arab](https://data.hplt-project.org/three/sorted/kas_Arab.map)
360
+ - [kas_Deva](https://data.hplt-project.org/three/sorted/kas_Deva.map)
361
+ - [kat_Geor](https://data.hplt-project.org/three/sorted/kat_Geor.map)
362
+ - [kaz_Cyrl](https://data.hplt-project.org/three/sorted/kaz_Cyrl.map)
363
+ - [kbp_Latn](https://data.hplt-project.org/three/sorted/kbp_Latn.map)
364
+ - [kea_Latn](https://data.hplt-project.org/three/sorted/kea_Latn.map)
365
+ - [khk_Cyrl](https://data.hplt-project.org/three/sorted/khk_Cyrl.map)
366
+ - [khm_Khmr](https://data.hplt-project.org/three/sorted/khm_Khmr.map)
367
+ - [kik_Latn](https://data.hplt-project.org/three/sorted/kik_Latn.map)
368
+ - [kin_Latn](https://data.hplt-project.org/three/sorted/kin_Latn.map)
369
+ - [kir_Cyrl](https://data.hplt-project.org/three/sorted/kir_Cyrl.map)
370
+ - [kmb_Latn](https://data.hplt-project.org/three/sorted/kmb_Latn.map)
371
+ - [kmr_Latn](https://data.hplt-project.org/three/sorted/kmr_Latn.map)
372
+ - [knc_Arab](https://data.hplt-project.org/three/sorted/knc_Arab.map)
373
+ - [knc_Latn](https://data.hplt-project.org/three/sorted/knc_Latn.map)
374
+ - [kor_Hang](https://data.hplt-project.org/three/sorted/kor_Hang.map)
375
+ - [ktu_Latn](https://data.hplt-project.org/three/sorted/ktu_Latn.map)
376
+ - [lao_Laoo](https://data.hplt-project.org/three/sorted/lao_Laoo.map)
377
+ - [lij_Latn](https://data.hplt-project.org/three/sorted/lij_Latn.map)
378
+ - [lim_Latn](https://data.hplt-project.org/three/sorted/lim_Latn.map)
379
+ - [lin_Latn](https://data.hplt-project.org/three/sorted/lin_Latn.map)
380
+ - [lit_Latn](https://data.hplt-project.org/three/sorted/lit_Latn.map)
381
+ - [lmo_Latn](https://data.hplt-project.org/three/sorted/lmo_Latn.map)
382
+ - [ltg_Latn](https://data.hplt-project.org/three/sorted/ltg_Latn.map)
383
+ - [ltz_Latn](https://data.hplt-project.org/three/sorted/ltz_Latn.map)
384
+ - [lua_Latn](https://data.hplt-project.org/three/sorted/lua_Latn.map)
385
+ - [lug_Latn](https://data.hplt-project.org/three/sorted/lug_Latn.map)
386
+ - [luo_Latn](https://data.hplt-project.org/three/sorted/luo_Latn.map)
387
+ - [lus_Latn](https://data.hplt-project.org/three/sorted/lus_Latn.map)
388
+ - [lvs_Latn](https://data.hplt-project.org/three/sorted/lvs_Latn.map)
389
+ - [mag_Deva](https://data.hplt-project.org/three/sorted/mag_Deva.map)
390
+ - [mai_Deva](https://data.hplt-project.org/three/sorted/mai_Deva.map)
391
+ - [mal_Mlym](https://data.hplt-project.org/three/sorted/mal_Mlym.map)
392
+ - [mar_Deva](https://data.hplt-project.org/three/sorted/mar_Deva.map)
393
+ - [min_Latn](https://data.hplt-project.org/three/sorted/min_Latn.map)
394
+ - [mkd_Cyrl](https://data.hplt-project.org/three/sorted/mkd_Cyrl.map)
395
+ - [mlt_Latn](https://data.hplt-project.org/three/sorted/mlt_Latn.map)
396
+ - [mni_Beng](https://data.hplt-project.org/three/sorted/mni_Beng.map)
397
+ - [mos_Latn](https://data.hplt-project.org/three/sorted/mos_Latn.map)
398
+ - [mri_Latn](https://data.hplt-project.org/three/sorted/mri_Latn.map)
399
+ - [mya_Mymr](https://data.hplt-project.org/three/sorted/mya_Mymr.map)
400
+ - [nld_Latn](https://data.hplt-project.org/three/sorted/nld_Latn.map)
401
+ - [nno_Latn](https://data.hplt-project.org/three/sorted/nno_Latn.map)
402
+ - [nob_Latn](https://data.hplt-project.org/three/sorted/nob_Latn.map)
403
+ - [npi_Deva](https://data.hplt-project.org/three/sorted/npi_Deva.map)
404
+ - [nso_Latn](https://data.hplt-project.org/three/sorted/nso_Latn.map)
405
+ - [nus_Latn](https://data.hplt-project.org/three/sorted/nus_Latn.map)
406
+ - [nya_Latn](https://data.hplt-project.org/three/sorted/nya_Latn.map)
407
+ - [oci_Latn](https://data.hplt-project.org/three/sorted/oci_Latn.map)
408
+ - [ory_Orya](https://data.hplt-project.org/three/sorted/ory_Orya.map)
409
+ - [pag_Latn](https://data.hplt-project.org/three/sorted/pag_Latn.map)
410
+ - [pan_Guru](https://data.hplt-project.org/three/sorted/pan_Guru.map)
411
+ - [pap_Latn](https://data.hplt-project.org/three/sorted/pap_Latn.map)
412
+ - [pbt_Arab](https://data.hplt-project.org/three/sorted/pbt_Arab.map)
413
+ - [pes_Arab](https://data.hplt-project.org/three/sorted/pes_Arab.map)
414
+ - [plt_Latn](https://data.hplt-project.org/three/sorted/plt_Latn.map)
415
+ - [pol_Latn](https://data.hplt-project.org/three/sorted/pol_Latn.map)
416
+ - [por_Latn](https://data.hplt-project.org/three/sorted/por_Latn.map)
417
+ - [prs_Arab](https://data.hplt-project.org/three/sorted/prs_Arab.map)
418
+ - [quy_Latn](https://data.hplt-project.org/three/sorted/quy_Latn.map)
419
+ - [ron_Latn](https://data.hplt-project.org/three/sorted/ron_Latn.map)
420
+ - [run_Latn](https://data.hplt-project.org/three/sorted/run_Latn.map)
421
+ - [rus_Cyrl](https://data.hplt-project.org/three/sorted/rus_Cyrl.map)
422
+ - [sag_Latn](https://data.hplt-project.org/three/sorted/sag_Latn.map)
423
+ - [san_Deva](https://data.hplt-project.org/three/sorted/san_Deva.map)
424
+ - [sat_Olck](https://data.hplt-project.org/three/sorted/sat_Olck.map)
425
+ - [scn_Latn](https://data.hplt-project.org/three/sorted/scn_Latn.map)
426
+ - [shn_Mymr](https://data.hplt-project.org/three/sorted/shn_Mymr.map)
427
+ - [sin_Sinh](https://data.hplt-project.org/three/sorted/sin_Sinh.map)
428
+ - [slk_Latn](https://data.hplt-project.org/three/sorted/slk_Latn.map)
429
+ - [slv_Latn](https://data.hplt-project.org/three/sorted/slv_Latn.map)
430
+ - [smo_Latn](https://data.hplt-project.org/three/sorted/smo_Latn.map)
431
+ - [sna_Latn](https://data.hplt-project.org/three/sorted/sna_Latn.map)
432
+ - [snd_Arab](https://data.hplt-project.org/three/sorted/snd_Arab.map)
433
+ - [som_Latn](https://data.hplt-project.org/three/sorted/som_Latn.map)
434
+ - [sot_Latn](https://data.hplt-project.org/three/sorted/sot_Latn.map)
435
+ - [spa_Latn](https://data.hplt-project.org/three/sorted/spa_Latn.map)
436
+ - [srd_Latn](https://data.hplt-project.org/three/sorted/srd_Latn.map)
437
+ - [srp_Cyrl](https://data.hplt-project.org/three/sorted/srp_Cyrl.map)
438
+ - [ssw_Latn](https://data.hplt-project.org/three/sorted/ssw_Latn.map)
439
+ - [sun_Latn](https://data.hplt-project.org/three/sorted/sun_Latn.map)
440
+ - [swe_Latn](https://data.hplt-project.org/three/sorted/swe_Latn.map)
441
+ - [swh_Latn](https://data.hplt-project.org/three/sorted/swh_Latn.map)
442
+ - [szl_Latn](https://data.hplt-project.org/three/sorted/szl_Latn.map)
443
+ - [tam_Taml](https://data.hplt-project.org/three/sorted/tam_Taml.map)
444
+ - [taq_Latn](https://data.hplt-project.org/three/sorted/taq_Latn.map)
445
+ - [taq_Tfng](https://data.hplt-project.org/three/sorted/taq_Tfng.map)
446
+ - [tat_Cyrl](https://data.hplt-project.org/three/sorted/tat_Cyrl.map)
447
+ - [tel_Telu](https://data.hplt-project.org/three/sorted/tel_Telu.map)
448
+ - [tgk_Cyrl](https://data.hplt-project.org/three/sorted/tgk_Cyrl.map)
449
+ - [tha_Thai](https://data.hplt-project.org/three/sorted/tha_Thai.map)
450
+ - [tir_Ethi](https://data.hplt-project.org/three/sorted/tir_Ethi.map)
451
+ - [tpi_Latn](https://data.hplt-project.org/three/sorted/tpi_Latn.map)
452
+ - [tsn_Latn](https://data.hplt-project.org/three/sorted/tsn_Latn.map)
453
+ - [tso_Latn](https://data.hplt-project.org/three/sorted/tso_Latn.map)
454
+ - [tuk_Latn](https://data.hplt-project.org/three/sorted/tuk_Latn.map)
455
+ - [tum_Latn](https://data.hplt-project.org/three/sorted/tum_Latn.map)
456
+ - [tur_Latn](https://data.hplt-project.org/three/sorted/tur_Latn.map)
457
+ - [twi_Latn](https://data.hplt-project.org/three/sorted/twi_Latn.map)
458
+ - [uig_Arab](https://data.hplt-project.org/three/sorted/uig_Arab.map)
459
+ - [ukr_Cyrl](https://data.hplt-project.org/three/sorted/ukr_Cyrl.map)
460
+ - [umb_Latn](https://data.hplt-project.org/three/sorted/umb_Latn.map)
461
+ - [urd_Arab](https://data.hplt-project.org/three/sorted/urd_Arab.map)
462
+ - [uzn_Latn](https://data.hplt-project.org/three/sorted/uzn_Latn.map)
463
+ - [vec_Latn](https://data.hplt-project.org/three/sorted/vec_Latn.map)
464
+ - [vie_Latn](https://data.hplt-project.org/three/sorted/vie_Latn.map)
465
+ - [war_Latn](https://data.hplt-project.org/three/sorted/war_Latn.map)
466
+ - [wol_Latn](https://data.hplt-project.org/three/sorted/wol_Latn.map)
467
+ - [xho_Latn](https://data.hplt-project.org/three/sorted/xho_Latn.map)
468
+ - [ydd_Hebr](https://data.hplt-project.org/three/sorted/ydd_Hebr.map)
469
+ - [yor_Latn](https://data.hplt-project.org/three/sorted/yor_Latn.map)
470
+ - [yue_Hant](https://data.hplt-project.org/three/sorted/yue_Hant.map)
471
+ - [zgh_Tfng](https://data.hplt-project.org/three/sorted/zgh_Tfng.map)
472
+ - [zsm_Latn](https://data.hplt-project.org/three/sorted/zsm_Latn.map)
473
+ - [zul_Latn](https://data.hplt-project.org/three/sorted/zul_Latn.map)
474
  ## Downloading with HuggingFace Datasets
475
  To load a monolingual portion of the **HPLT v3.0** dataset in the _Huggingface Datasets_ format, you can run the following code to download the dataset files map and then load the `.jsonl.zst` files directly using `load_datasets()`.
476
  The `Datasets` package will then handle downloading of the files.
 
576
  print(ds)
577
  ```
578
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
579
  ## Statistics & validation
580
 
581
  Summary statistics per language are available for download as a structured [manifest.json](https://data.hplt-project.org/three/sorted/manifest.json), also including download links for the individual data files, per-language maps, and sample documents from various quality bins.
582
  Additionally, each language subdirectory provides compressed lists of unique domains, full URLs, and what are called normalized document signatures, together with their frequencies of occurence, for example [nob_Latn/.domains.zst](https://data.hplt-project.org/three/sorted/nob_Latn/.domains.zst), [nob_Latn/.urls.zst](https://data.hplt-project.org/three/sorted/nob_Latn/.urls.zst), and [nob_Latn/.signatures.zst](https://data.hplt-project.org/three/sorted/nob_Latn/.signatures.zst) for Norwegian Bokmål.
583
 
584
+ | Language | bytes | documents | segments | tokens | characters |
585
+ |------------|------------------|------------------|------------------|------------------|------------------|
586
+ | ace_Arab | 12749 | 7 | 72 | 6969 | 13861 |
587
+ | ace_Latn | 9.2329e+06 | 5225 | 149102 | 9.27194e+06 | 2.5397e+07 |
588
+ | aeb_Arab | 145577 | 177 | 2462 | 64086 | 177533 |
589
+ | afr_Latn | 3.87734e+09 | 2.13616e+06 | 5.66551e+07 | 2.68688e+09 | 8.80419e+09 |
590
+ | als_Latn | 1.2779e+10 | 1.11847e+07 | 1.62463e+08 | 1.00784e+10 | 2.77102e+10 |
591
+ | amh_Ethi | 1.24836e+09 | 571240 | 1.22545e+07 | 1.00555e+09 | 1.66535e+09 |
592
+ | apc_Arab | 229109 | 253 | 3494 | 88221 | 238181 |
593
+ | arb_Arab | 8.37614e+10 | 5.00711e+07 | 7.56572e+08 | 4.9566e+10 | 1.47182e+11 |
594
+ | ars_Arab | 2.06934e+06 | 1810 | 38430 | 968870 | 2.76278e+06 |
595
+ | ary_Arab | 1.96481e+07 | 17503 | 184651 | 1.07121e+07 | 3.27986e+07 |
596
+ | arz_Arab | 1.10897e+08 | 94125 | 1.12337e+06 | 6.23998e+07 | 1.76258e+08 |
597
+ | asm_Beng | 6.89823e+08 | 446306 | 6.54448e+06 | 4.79366e+08 | 1.14709e+09 |
598
+ | ast_Latn | 4.61011e+08 | 247531 | 5.0788e+06 | 3.08151e+08 | 1.0093e+09 |
599
+ | awa_Deva | 3.85411e+07 | 34188 | 354228 | 2.03499e+07 | 6.50232e+07 |
600
+ | ayr_Latn | 6.90081e+06 | 7449 | 120162 | 7.53512e+06 | 1.98012e+07 |
601
+ | azb_Arab | 1.83505e+08 | 94756 | 2.58497e+06 | 1.34707e+08 | 2.96101e+08 |
602
+ | azj_Latn | 1.51421e+10 | 1.10689e+07 | 2.44045e+08 | 1.59564e+10 | 4.12566e+10 |
603
+ | bak_Cyrl | 4.17521e+08 | 275718 | 3.96984e+06 | 3.93321e+08 | 8.0372e+08 |
604
+ | bam_Latn | 4.88638e+06 | 3638 | 64679 | 4.87638e+06 | 1.12839e+07 |
605
+ | ban_Latn | 3.91092e+07 | 16000 | 1.02105e+06 | 3.41714e+07 | 1.14841e+08 |
606
+ | bel_Cyrl | 5.67925e+09 | 2.99965e+06 | 5.5993e+07 | 4.0847e+09 | 1.01804e+10 |
607
+ | bem_Latn | 1.34493e+07 | 5344 | 142918 | 1.28912e+07 | 3.42116e+07 |
608
+ | ben_Beng | 3.71803e+10 | 2.55573e+07 | 3.59085e+08 | 1.63581e+10 | 6.25576e+10 |
609
+ | bho_Deva | 4.87399e+07 | 32789 | 473383 | 2.68768e+07 | 8.05295e+07 |
610
+ | bjn_Arab | 2.4971e+06 | 1306 | 30400 | 2.28464e+06 | 4.61119e+06 |
611
+ | bjn_Latn | 2.74946e+07 | 21227 | 364036 | 1.90762e+07 | 6.70367e+07 |
612
+ | bod_Tibt | 8.12033e+07 | 27863 | 481093 | 1.17868e+08 | 1.78277e+08 |
613
+ | bos_Latn | 4.82935e+10 | 3.70783e+07 | 6.41526e+08 | 3.20448e+10 | 9.92657e+10 |
614
+ | bug_Latn | 2.92831e+06 | 1173 | 32290 | 3.12132e+06 | 8.63034e+06 |
615
+ | bul_Cyrl | 7.7896e+10 | 4.29679e+07 | 9.78883e+08 | 4.89864e+10 | 1.45764e+11 |
616
+ | cat_Latn | 3.45719e+10 | 2.64118e+07 | 4.60848e+08 | 2.25402e+10 | 7.54288e+10 |
617
+ | ceb_Latn | 4.8916e+08 | 354235 | 6.77992e+06 | 3.84036e+08 | 1.25746e+09 |
618
+ | ces_Latn | 1.82916e+11 | 1.07802e+08 | 2.46849e+09 | 1.26248e+11 | 3.67843e+11 |
619
+ | cjk_Latn | 2.56179e+06 | 1081 | 29646 | 2.65488e+06 | 7.00067e+06 |
620
+ | ckb_Arab | 5.36151e+08 | 352126 | 4.98464e+06 | 4.72365e+08 | 9.56806e+08 |
621
+ | cmn_Hans | 5.40259e+12 | 2.21365e+09 | 6.02851e+10 | 2.97208e+12 | 4.13805e+12 |
622
+ | cmn_Hant | 2.45606e+11 | 1.13442e+08 | 2.37019e+09 | 1.47202e+11 | 1.95323e+11 |
623
+ | crh_Latn | 1.44888e+08 | 120315 | 1.52844e+06 | 1.28099e+08 | 3.15926e+08 |
624
+ | cym_Latn | 1.46134e+09 | 1.08198e+06 | 2.1101e+07 | 1.22767e+09 | 3.19176e+09 |
625
+ | dan_Latn | 8.73561e+10 | 5.24988e+07 | 1.33494e+09 | 6.27193e+10 | 2.08283e+11 |
626
+ | deu_Latn | 1.08506e+12 | 6.45363e+08 | 1.43806e+10 | 6.09313e+11 | 2.42507e+12 |
627
+ | dik_Latn | 2.65345e+06 | 1223 | 32639 | 3.32648e+06 | 6.66694e+06 |
628
+ | dyu_Latn | 3.00075e+06 | 1747 | 45172 | 3.49373e+06 | 7.36717e+06 |
629
+ | dzo_Tibt | 1.30172e+07 | 90 | 88550 | 2.05277e+07 | 1.98949e+07 |
630
+ | ekk_Latn | 2.63689e+10 | 1.37359e+07 | 4.25933e+08 | 2.06225e+10 | 6.06657e+10 |
631
+ | ell_Grek | 1.55946e+11 | 8.73908e+07 | 1.87499e+09 | 1.15569e+11 | 2.90056e+11 |
632
+ | eng_Latn | 3.25827e+13 | 1.80578e+10 | 4.35228e+11 | 1.62802e+13 | 7.2337e+13 |
633
+ | epo_Latn | 1.77994e+09 | 715290 | 2.3255e+07 | 1.24591e+09 | 3.73034e+09 |
634
+ | eus_Latn | 4.25142e+09 | 3.21948e+06 | 5.59265e+07 | 3.19136e+09 | 9.54646e+09 |
635
+ | ewe_Latn | 1.75704e+07 | 7137 | 218079 | 1.86855e+07 | 3.99497e+07 |
636
+ | fao_Latn | 3.21502e+08 | 323746 | 5.36184e+06 | 2.72706e+08 | 7.06501e+08 |
637
+ | fij_Latn | 2.07725e+07 | 12071 | 283590 | 2.10701e+07 | 5.93948e+07 |
638
+ | fil_Latn | 5.60269e+09 | 3.44124e+06 | 8.37043e+07 | 4.10511e+09 | 1.41188e+10 |
639
+ | fin_Latn | 9.38133e+10 | 4.95581e+07 | 1.36715e+09 | 7.39269e+10 | 2.19225e+11 |
640
+ | fon_Latn | 2.73227e+06 | 1469 | 24988 | 3.3823e+06 | 6.39682e+06 |
641
+ | fra_Latn | 1.0162e+12 | 6.03879e+08 | 1.56475e+10 | 5.84957e+11 | 2.27423e+12 |
642
+ | fur_Latn | 6.94786e+07 | 55016 | 1.11412e+06 | 7.08531e+07 | 2.14185e+08 |
643
+ | fuv_Latn | 1.44045e+07 | 9972 | 193399 | 1.49391e+07 | 3.49506e+07 |
644
+ | gaz_Latn | 1.01477e+08 | 63063 | 1.11134e+06 | 9.28262e+07 | 2.51115e+08 |
645
+ | gla_Latn | 2.71396e+08 | 204013 | 3.76981e+06 | 2.27705e+08 | 6.29982e+08 |
646
+ | gle_Latn | 1.25057e+09 | 786690 | 1.80665e+07 | 1.08783e+09 | 2.9638e+09 |
647
+ | glg_Latn | 5.31459e+09 | 4.03327e+06 | 6.65709e+07 | 3.11704e+09 | 1.1699e+10 |
648
+ | gug_Latn | 1.03362e+08 | 98974 | 1.69954e+06 | 7.43085e+07 | 2.41199e+08 |
649
+ | guj_Gujr | 5.16519e+09 | 3.46024e+06 | 4.67519e+07 | 3.33481e+09 | 8.38636e+09 |
650
+ | hat_Latn | 5.28153e+08 | 377114 | 7.86959e+06 | 4.04896e+08 | 1.18605e+09 |
651
+ | hau_Latn | 1.01531e+09 | 743843 | 1.5107e+07 | 7.97016e+08 | 2.35582e+09 |
652
+ | heb_Hebr | 4.79148e+10 | 2.60826e+07 | 6.47508e+08 | 3.70188e+10 | 7.91074e+10 |
653
+ | hin_Deva | 5.9972e+10 | 3.63252e+07 | 5.63696e+08 | 2.67672e+10 | 9.975e+10 |
654
+ | hne_Deva | 1.21755e+07 | 6322 | 95634 | 7.47182e+06 | 2.05146e+07 |
655
+ | hrv_Latn | 5.08172e+10 | 3.11567e+07 | 7.15451e+08 | 3.51469e+10 | 1.09108e+11 |
656
+ | hun_Latn | 1.35299e+11 | 7.51229e+07 | 1.77811e+09 | 1.02309e+11 | 2.95708e+11 |
657
+ | hye_Armn | 8.33672e+09 | 6.12071e+06 | 1.04487e+08 | 9.03616e+09 | 1.66412e+10 |
658
+ | ibo_Latn | 2.70718e+08 | 172837 | 4.01141e+06 | 2.5982e+08 | 6.03414e+08 |
659
+ | ilo_Latn | 5.53246e+07 | 43850 | 851053 | 4.44084e+07 | 1.3487e+08 |
660
+ | ind_Latn | 2.56153e+11 | 1.76108e+08 | 3.54427e+09 | 1.42115e+11 | 6.10519e+11 |
661
+ | isl_Latn | 6.84088e+09 | 4.29593e+06 | 9.34546e+07 | 6.14683e+09 | 1.56793e+10 |
662
+ | ita_Latn | 5.84823e+11 | 3.62986e+08 | 7.53909e+09 | 3.35456e+11 | 1.3016e+12 |
663
+ | jav_Latn | 3.71335e+08 | 239461 | 6.08345e+06 | 2.81119e+08 | 9.05496e+08 |
664
+ | jpn_Jpan | 1.60099e+12 | 6.67404e+08 | 3.57869e+10 | 8.76e+11 | 1.49653e+12 |
665
+ | kab_Latn | 2.43387e+07 | 15045 | 375223 | 2.14453e+07 | 4.90982e+07 |
666
+ | kac_Latn | 1.02018e+07 | 9032 | 149295 | 1.02602e+07 | 2.85214e+07 |
667
+ | kam_Latn | 1.49028e+06 | 1043 | 13065 | 1.76605e+06 | 3.63171e+06 |
668
+ | kan_Knda | 5.85547e+09 | 4.36419e+06 | 5.69032e+07 | 3.90595e+09 | 1.00064e+10 |
669
+ | kas_Arab | 2.09169e+06 | 1067 | 25454 | 1.75877e+06 | 3.55904e+06 |
670
+ | kas_Deva | 152450 | 66 | 571 | 147947 | 251926 |
671
+ | kat_Geor | 1.00526e+10 | 6.12929e+06 | 1.05893e+08 | 7.54849e+09 | 1.70096e+10 |
672
+ | kaz_Cyrl | 8.75866e+09 | 5.11957e+06 | 1.00639e+08 | 7.3411e+09 | 1.72129e+10 |
673
+ | kbp_Latn | 7.83331e+06 | 4774 | 68240 | 1.20192e+07 | 1.95624e+07 |
674
+ | kea_Latn | 3.50476e+06 | 3080 | 50813 | 2.43026e+06 | 7.27438e+06 |
675
+ | khk_Cyrl | 5.93504e+09 | 3.47859e+06 | 8.06166e+07 | 6.33191e+09 | 1.35331e+10 |
676
+ | khm_Khmr | 1.84434e+09 | 1.32366e+06 | 2.03944e+07 | 2.50309e+09 | 4.98338e+09 |
677
+ | kik_Latn | 7.93681e+06 | 8625 | 111888 | 7.77815e+06 | 1.79884e+07 |
678
+ | kin_Latn | 2.90616e+08 | 202519 | 3.73053e+06 | 2.54968e+08 | 6.93546e+08 |
679
+ | kir_Cyrl | 2.0203e+09 | 1.48906e+06 | 2.02656e+07 | 1.53549e+09 | 3.80122e+09 |
680
+ | kmb_Latn | 1.79382e+06 | 1178 | 20703 | 1.90339e+06 | 4.90187e+06 |
681
+ | kmr_Latn | 9.49185e+08 | 693889 | 1.20605e+07 | 7.91719e+08 | 1.96335e+09 |
682
+ | knc_Arab | 1.45563e+06 | 912 | 26736 | 1.51929e+06 | 2.33967e+06 |
683
+ | knc_Latn | 2.48346e+06 | 1387 | 30472 | 3.37973e+06 | 7.12004e+06 |
684
+ | kor_Hang | 1.50607e+11 | 7.47882e+07 | 2.33651e+09 | 9.75751e+10 | 1.64314e+11 |
685
+ | ktu_Latn | 7.76201e+06 | 4423 | 86549 | 8.17784e+06 | 2.24016e+07 |
686
+ | lao_Laoo | 1.56651e+08 | 87662 | 1.04696e+06 | 1.81446e+08 | 2.88255e+08 |
687
+ | lij_Latn | 1.64146e+07 | 6202 | 234666 | 1.53317e+07 | 3.0929e+07 |
688
+ | lim_Latn | 5.12171e+08 | 339706 | 6.56112e+06 | 3.71979e+08 | 1.1078e+09 |
689
+ | lin_Latn | 3.27883e+07 | 13561 | 441552 | 2.71829e+07 | 8.13272e+07 |
690
+ | lit_Latn | 3.59615e+10 | 2.04068e+07 | 5.11152e+08 | 2.87665e+10 | 8.07197e+10 |
691
+ | lmo_Latn | 1.38683e+08 | 116732 | 1.60841e+06 | 9.89455e+07 | 2.89874e+08 |
692
+ | ltg_Latn | 2.00932e+07 | 14140 | 218638 | 1.84417e+07 | 4.53443e+07 |
693
+ | ltz_Latn | 5.84169e+08 | 407481 | 7.96626e+06 | 4.33242e+08 | 1.33883e+09 |
694
+ | lua_Latn | 4.1414e+06 | 1634 | 50740 | 4.53105e+06 | 1.23946e+07 |
695
+ | lug_Latn | 5.28636e+07 | 49599 | 738304 | 4.69274e+07 | 1.23979e+08 |
696
+ | luo_Latn | 8.57884e+06 | 4611 | 103973 | 7.92437e+06 | 2.12114e+07 |
697
+ | lus_Latn | 4.14953e+08 | 294926 | 5.47319e+06 | 3.48683e+08 | 9.98553e+08 |
698
+ | lvs_Latn | 1.99862e+10 | 1.13234e+07 | 2.96733e+08 | 1.72447e+10 | 4.46281e+10 |
699
+ | mag_Deva | 2.43311e+06 | 513 | 75605 | 1.82292e+06 | 4.74567e+06 |
700
+ | mai_Deva | 7.05778e+07 | 28873 | 865082 | 4.43001e+07 | 1.16823e+08 |
701
+ | mal_Mlym | 1.07302e+10 | 8.15688e+06 | 9.01041e+07 | 6.64249e+09 | 1.90802e+10 |
702
+ | mar_Deva | 9.71831e+09 | 6.46084e+06 | 8.18362e+07 | 4.6767e+09 | 1.62002e+10 |
703
+ | min_Latn | 3.64913e+07 | 29395 | 596781 | 2.63115e+07 | 8.51086e+07 |
704
+ | mkd_Cyrl | 8.76829e+09 | 6.79145e+06 | 9.76109e+07 | 5.93043e+09 | 1.64243e+10 |
705
+ | mlt_Latn | 1.03778e+09 | 752735 | 1.72212e+07 | 9.81803e+08 | 2.46176e+09 |
706
+ | mni_Beng | 1.83794e+07 | 7573 | 189344 | 1.70622e+07 | 3.64384e+07 |
707
+ | mos_Latn | 4.5236e+06 | 1892 | 48001 | 5.81979e+06 | 1.16384e+07 |
708
+ | mri_Latn | 2.82025e+08 | 203007 | 4.12348e+06 | 2.3982e+08 | 6.85387e+08 |
709
+ | mya_Mymr | 4.00381e+09 | 1.97932e+06 | 3.68415e+07 | 4.24635e+09 | 7.21808e+09 |
710
+ | nld_Latn | 2.89043e+11 | 2.00689e+08 | 4.24748e+09 | 1.73413e+11 | 6.43031e+11 |
711
+ | nno_Latn | 2.2405e+09 | 1.50966e+06 | 3.19371e+07 | 1.58773e+09 | 4.92542e+09 |
712
+ | nob_Latn | 7.50453e+10 | 3.64871e+07 | 8.88906e+08 | 5.11551e+10 | 1.72132e+11 |
713
+ | npi_Deva | 8.86405e+09 | 6.21144e+06 | 7.62501e+07 | 4.87524e+09 | 1.50813e+10 |
714
+ | nso_Latn | 1.51224e+07 | 8183 | 234070 | 1.57664e+07 | 4.22513e+07 |
715
+ | nus_Latn | 528527 | 139 | 3278 | 766270 | 1.42048e+06 |
716
+ | nya_Latn | 2.68762e+08 | 177891 | 4.29311e+06 | 2.31979e+08 | 6.61407e+08 |
717
+ | oci_Latn | 1.66308e+08 | 106458 | 2.07166e+06 | 1.15326e+08 | 3.56397e+08 |
718
+ | ory_Orya | 1.40817e+09 | 1.29798e+06 | 9.43708e+06 | 1.53735e+09 | 2.21141e+09 |
719
+ | pag_Latn | 1.31976e+07 | 4496 | 171555 | 1.46059e+07 | 4.20388e+07 |
720
+ | pan_Guru | 2.51522e+09 | 1.51845e+06 | 2.21702e+07 | 2.31636e+09 | 4.27875e+09 |
721
+ | pap_Latn | 1.88525e+08 | 181779 | 2.41473e+06 | 1.36816e+08 | 4.64892e+08 |
722
+ | pbt_Arab | 1.40464e+09 | 918708 | 1.57483e+07 | 1.00765e+09 | 2.44663e+09 |
723
+ | pes_Arab | 2.7621e+11 | 1.32957e+08 | 4.06236e+09 | 1.81331e+11 | 5.49136e+11 |
724
+ | plt_Latn | 5.12107e+08 | 365680 | 6.75153e+06 | 4.3398e+08 | 1.23968e+09 |
725
+ | pol_Latn | 4.06616e+11 | 2.55893e+08 | 5.64384e+09 | 2.70101e+11 | 8.83717e+11 |
726
+ | por_Latn | 5.50084e+11 | 3.42528e+08 | 8.08785e+09 | 3.18853e+11 | 1.24275e+12 |
727
+ | prs_Arab | 3.55287e+09 | 2.45758e+06 | 4.75769e+07 | 2.00256e+09 | 6.39159e+09 |
728
+ | quy_Latn | 3.94001e+07 | 20199 | 565160 | 4.2765e+07 | 1.13999e+08 |
729
+ | ron_Latn | 1.52995e+11 | 9.59119e+07 | 2.16604e+09 | 1.02526e+11 | 3.39291e+11 |
730
+ | run_Latn | 2.11579e+08 | 235311 | 2.86853e+06 | 1.78848e+08 | 4.94911e+08 |
731
+ | rus_Cyrl | 8.59307e+12 | 3.30496e+09 | 1.00231e+11 | 4.40259e+12 | 1.595e+13 |
732
+ | sag_Latn | 4.62958e+06 | 2638 | 55772 | 5.1752e+06 | 1.40799e+07 |
733
+ | san_Deva | 2.78872e+08 | 59818 | 3.90726e+06 | 1.85157e+08 | 4.29315e+08 |
734
+ | sat_Olck | 7.28382e+06 | 4719 | 75497 | 1.1107e+07 | 1.16144e+07 |
735
+ | scn_Latn | 1.69874e+08 | 91611 | 2.039e+06 | 1.19946e+08 | 3.69055e+08 |
736
+ | shn_Mymr | 1.93813e+07 | 12287 | 157398 | 2.90415e+07 | 3.84962e+07 |
737
+ | sin_Sinh | 3.55884e+09 | 1.80283e+06 | 3.90258e+07 | 2.92338e+09 | 5.97592e+09 |
738
+ | slk_Latn | 5.69363e+10 | 3.63708e+07 | 7.68391e+08 | 4.02051e+10 | 1.16251e+11 |
739
+ | slv_Latn | 2.84362e+10 | 1.68121e+07 | 4.02193e+08 | 2.09247e+10 | 6.24579e+10 |
740
+ | smo_Latn | 2.32654e+08 | 161099 | 3.29799e+06 | 2.20451e+08 | 5.83679e+08 |
741
+ | sna_Latn | 2.62134e+08 | 183006 | 3.77958e+06 | 2.17012e+08 | 6.28522e+08 |
742
+ | snd_Arab | 5.97307e+08 | 363829 | 6.27533e+06 | 4.96112e+08 | 1.09322e+09 |
743
+ | som_Latn | 1.39533e+09 | 1.42382e+06 | 1.8755e+07 | 1.10301e+09 | 3.15936e+09 |
744
+ | sot_Latn | 2.39577e+08 | 152062 | 3.61913e+06 | 2.13919e+08 | 6.04692e+08 |
745
+ | spa_Latn | 1.20403e+12 | 7.2558e+08 | 1.63306e+10 | 6.58968e+11 | 2.753e+12 |
746
+ | srd_Latn | 8.12553e+07 | 66660 | 792085 | 5.79609e+07 | 1.75234e+08 |
747
+ | srp_Cyrl | 1.49864e+10 | 7.08171e+06 | 1.69868e+08 | 1.03789e+10 | 2.76843e+10 |
748
+ | ssw_Latn | 5.20474e+06 | 2789 | 94985 | 5.63088e+06 | 1.50385e+07 |
749
+ | sun_Latn | 2.78833e+08 | 185376 | 4.11052e+06 | 1.96535e+08 | 6.38091e+08 |
750
+ | swe_Latn | 1.68795e+11 | 9.77174e+07 | 2.47817e+09 | 1.11783e+11 | 3.75115e+11 |
751
+ | swh_Latn | 2.57702e+09 | 1.93591e+06 | 4.31838e+07 | 2.0635e+09 | 6.20961e+09 |
752
+ | szl_Latn | 4.18164e+07 | 30839 | 485518 | 3.16829e+07 | 8.40092e+07 |
753
+ | tam_Taml | 1.79397e+10 | 1.12662e+07 | 2.05225e+08 | 9.0269e+09 | 3.27291e+10 |
754
+ | taq_Latn | 2.7567e+06 | 827 | 48115 | 4.54676e+06 | 8.97492e+06 |
755
+ | taq_Tfng | 17837 | 5 | 171 | 27628 | 26799 |
756
+ | tat_Cyrl | 1.72649e+09 | 1.25906e+06 | 2.29245e+07 | 1.58331e+09 | 3.69134e+09 |
757
+ | tel_Telu | 8.89145e+09 | 6.23574e+06 | 8.19632e+07 | 5.55253e+09 | 1.50663e+10 |
758
+ | tgk_Cyrl | 3.95213e+09 | 2.57451e+06 | 4.18478e+07 | 3.33805e+09 | 7.9482e+09 |
759
+ | tha_Thai | 8.82601e+10 | 4.00081e+07 | 6.45136e+08 | 5.57641e+10 | 1.54505e+11 |
760
+ | tir_Ethi | 1.41116e+08 | 67624 | 1.24717e+06 | 1.38313e+08 | 1.91866e+08 |
761
+ | tpi_Latn | 1.94493e+07 | 12425 | 266506 | 1.93728e+07 | 5.83926e+07 |
762
+ | tsn_Latn | 1.8996e+07 | 9335 | 224171 | 1.92971e+07 | 5.35538e+07 |
763
+ | tso_Latn | 2.14762e+07 | 11680 | 292353 | 2.24503e+07 | 5.80403e+07 |
764
+ | tuk_Latn | 3.82449e+08 | 378448 | 4.86372e+06 | 3.70579e+08 | 9.02751e+08 |
765
+ | tum_Latn | 1.21203e+07 | 5654 | 157259 | 1.26477e+07 | 3.30254e+07 |
766
+ | tur_Latn | 2.28895e+11 | 1.59467e+08 | 3.11443e+09 | 1.49977e+11 | 5.12611e+11 |
767
+ | twi_Latn | 1.55538e+07 | 7896 | 213567 | 1.59479e+07 | 3.56205e+07 |
768
+ | uig_Arab | 1.04557e+09 | 645397 | 1.04776e+07 | 1.19735e+09 | 2.15813e+09 |
769
+ | ukr_Cyrl | 1.37162e+11 | 8.00269e+07 | 1.60566e+09 | 8.12156e+10 | 2.44658e+11 |
770
+ | umb_Latn | 4.38548e+06 | 2124 | 43464 | 4.46039e+06 | 1.20452e+07 |
771
+ | urd_Arab | 1.00517e+10 | 7.20656e+06 | 9.61188e+07 | 6.13055e+09 | 1.92455e+10 |
772
+ | uzn_Latn | 2.74834e+09 | 1.88281e+06 | 3.29448e+07 | 2.33642e+09 | 6.51135e+09 |
773
+ | vec_Latn | 1.32636e+08 | 102317 | 1.31702e+06 | 8.61756e+07 | 2.7615e+08 |
774
+ | vie_Latn | 2.34491e+11 | 1.45403e+08 | 3.5928e+09 | 1.42361e+11 | 4.75626e+11 |
775
+ | war_Latn | 1.03277e+07 | 9350 | 119247 | 8.00989e+06 | 2.54154e+07 |
776
+ | wol_Latn | 8.89604e+06 | 5056 | 161407 | 8.37268e+06 | 2.05158e+07 |
777
+ | xho_Latn | 3.59235e+08 | 253806 | 6.63664e+06 | 3.27797e+08 | 8.6304e+08 |
778
+ | ydd_Hebr | 3.52683e+08 | 162585 | 4.30668e+06 | 3.60245e+08 | 7.15206e+08 |
779
+ | yor_Latn | 2.54982e+08 | 171248 | 3.62308e+06 | 2.30281e+08 | 5.59874e+08 |
780
+ | yue_Hant | 4.72524e+08 | 217261 | 4.61984e+06 | 2.13832e+08 | 2.77005e+08 |
781
+ | zgh_Tfng | 4.09375e+06 | 3488 | 34992 | 6.60944e+06 | 6.55445e+06 |
782
+ | zsm_Latn | 3.05097e+10 | 1.73653e+07 | 5.03869e+08 | 1.82977e+10 | 7.12286e+10 |
783
+ | zul_Latn | 4.50878e+08 | 336440 | 8.01597e+06 | 4.10539e+08 | 1.12129e+09 |
784
+
785
  The counts of documents per language or total storage sizes in the above statistics could be used to approximately validate each language sub-directory, but for more thorough validation of individual data files or full downloads, MD5 checksum files are provided with naming conventions parallel to the data and per-language map files.
786
  For example: [nob_Latn/.10_1.jsonl.md5](https://data.hplt-project.org/three/sorted/nob_Latn/.10_1.jsonl.md5) for the first data file in Norwegian Bokmål, and [nob_Latn.md5](https://data.hplt-project.org/three/sorted/nob_Latn.md5) for its full set of data files.
787
 
 
804
 
805
  * _It is your responsibility that any use of the data complies with any applicable legal framework, such as, among others, the EU Copyright Directive 2019/790 and the General Data Protection Regulation 2018, as amended._
806
 
807
+ ### Cite us
808
+
809
+ ```
810
+ @misc{oepen2025hplt30largescalemultilingual,
811
+ title={HPLT 3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models},
812
+ author={Stephan Oepen and Nikolay Arefev and Mikko Aulamo and Marta Bañón and Maja Buljan and Laurie Burchell and Lucas Charpentier and Pinzhen Chen and Mariya Fedorova and Ona de Gibert and Barry Haddow and Jan Hajič and Jindřich Helcl and Andrey Kutuzov and Veronika Laippala and Zihao Li and Risto Luukkonen and Bhavitvya Malik and Vladislav Mikhailov and Amanda Myntti and Dayyán O'Brien and Lucie Poláková and Sampo Pyysalo and Gema Ramírez Sánchez and Janine Siewert and Pavel Stepachev and Jörg Tiedemann and Teemu Vahtola and Dušan Variš and Fedor Vitiugin and Tea Vojtěchová and Jaume Zaragoza},
813
+ year={2025},
814
+ eprint={2511.01066},
815
+ archivePrefix={arXiv},
816
+ primaryClass={cs.CL},
817
+ url={https://arxiv.org/abs/2511.01066},
818
+ }
819
+ ```
820
  ## Funding
821
  _This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070350 and from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee (grant number 10052546)_