tamnd commited on
Commit
bc50e1c
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1 Parent(s): be2ff21

Add alq_Latn shard 0: 16666 sentences, 280 paragraphs, 23231 words, 531995 ngrams

Browse files
README.md CHANGED
@@ -899,6 +899,22 @@ configs:
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  data_files:
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  - split: train
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  path: data/ngrams/wuv_Latn/*.parquet
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - config_name: sentences-kms_Latn
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  data_files:
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  - split: train
@@ -979,27 +995,11 @@ configs:
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  data_files:
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  - split: train
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  path: data/ngrams/kup_Latn/*.parquet
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- - config_name: sentences-ppo_Latn
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- data_files:
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- - split: train
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- path: data/sentences/ppo_Latn/*.parquet
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- - config_name: paragraphs-ppo_Latn
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- data_files:
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- - split: train
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- path: data/paragraphs/ppo_Latn/*.parquet
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- - config_name: words-ppo_Latn
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- data_files:
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- - split: train
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- path: data/words/ppo_Latn/*.parquet
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- - config_name: ngrams-ppo_Latn
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- data_files:
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- - split: train
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- path: data/ngrams/ppo_Latn/*.parquet
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  ---
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1000
  # FineWeb-2 NLP
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- **3,485,948 sentences** across **423 languages**, extracted from **59,600 source documents** in [FineWeb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2). Every sentence, paragraph, word frequency, and n-gram frequency, split with language-aware segmentation and continuously updated.
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  ## Table of Contents
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@@ -1036,10 +1036,10 @@ linguistically useful units:
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  | Type | Rows | What you get |
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  |------|------|-------------|
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- | **sentences** | 3,485,948 | One row per sentence, with source document ID, URL, and position index |
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- | **paragraphs** | 61,394 | One row per paragraph, with sentence count per paragraph |
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- | **words** | 3,714,277 | Per-shard word frequency and document frequency tables |
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- | **ngrams** | 131,332,773 | Per-shard bigram through 5-gram frequency tables |
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  Every row traces back to its source document through `doc_id` and `doc_url` fields, making
1045
  it possible to navigate from any sentence or word back to the original web page. This
@@ -1193,12 +1193,13 @@ yuw_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 349
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  kas_Arab ▓▓▓▓▓▓▓▓▓▓▓▓▓ 337
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  goh_Latn ▓▓▓▓▓▓▓▓▓▓▓▓ 319
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  swg_Latn ▓▓▓▓▓▓▓▓▓▓▓▓ 301
 
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  lcm_Latn ▓▓▓▓▓▓▓▓▓▓▓ 279
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  kew_Latn ▓▓▓▓▓▓▓▓▓▓▓ 278
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  tvk_Latn ▓▓▓▓▓▓▓▓▓▓▓ 278
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  ppk_Latn ▓▓▓▓▓▓▓▓▓▓▓ 277
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- dwr_Latn ▓▓▓▓▓▓▓▓▓▓▓ 277
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  nca_Latn ▓▓▓▓▓▓▓▓▓▓▓ 277
 
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  lmp_Latn ▓▓▓▓▓▓▓▓▓▓▓ 276
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  tiy_Latn ▓▓▓▓▓▓▓▓▓▓▓ 275
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  hch_Latn ▓▓▓▓▓▓▓▓▓▓▓ 275
@@ -1207,7 +1208,6 @@ gaw_Latn ▓▓▓▓▓▓▓▓▓▓ 272
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  mti_Latn ▓▓▓▓▓▓▓▓▓▓ 271
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  kij_Latn ▓▓▓▓▓▓▓▓▓▓ 271
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  wuv_Latn ▓▓▓▓▓▓▓▓▓▓ 270
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- ojb_Cans ▓▓▓▓▓▓▓▓▓▓ 269
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  ```
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  <details>
@@ -1368,12 +1368,12 @@ print(words_df)
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  | Metric | Value |
1370
  |--------|-------|
1371
- | **Total sentences** | **3,485,948** |
1372
- | **Total paragraphs** | **61,394** |
1373
- | **Total word entries** (per-shard) | **3,714,277** |
1374
- | **Total n-gram entries** (per-shard) | **131,332,773** |
1375
- | **Languages processed** | **423** |
1376
- | **Source documents** | **59,600** |
1377
  | **Total parquet size** | **1.5 GB** |
1378
  | Avg sentences per document | 58.5 |
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  | Avg paragraphs per document | 1.0 |
@@ -1437,12 +1437,12 @@ print(words_df)
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  | 52 | `naf_Latn` | 16,720 | 243 | 15,430 | 651,124 | 243 | 1 | 7.7 MB |
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  | 53 | `apy_Latn` | 16,716 | 182 | 7,762 | 385,838 | 182 | 1 | 4.4 MB |
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  | 54 | `wuv_Latn` | 16,696 | 270 | 8,660 | 543,107 | 270 | 1 | 5.5 MB |
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- | 55 | `kms_Latn` | 16,663 | 233 | 3,611 | 588,198 | 233 | 1 | 5.5 MB |
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- | 56 | `amn_Latn` | 16,616 | 242 | 12,886 | 567,953 | 242 | 1 | 5.9 MB |
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- | 57 | `snc_Latn` | 16,529 | 251 | 13,637 | 556,760 | 251 | 1 | 6.8 MB |
1443
- | 58 | `hch_Latn` | 16,378 | 275 | 34,545 | 535,920 | 261 | 1 | 8.2 MB |
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- | 59 | `kup_Latn` | 16,129 | 254 | 12,815 | 778,268 | 254 | 1 | 8.5 MB |
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- | 60 | `ppo_Latn` | 16,085 | 234 | 9,138 | 647,344 | 234 | 1 | 6.8 MB |
1446
 
1447
  ## How it works
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@@ -1713,4 +1713,4 @@ Created by **Duc-Tam Nguyen** ([tamnd](https://huggingface.co/tamnd)) as part of
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1714
  ---
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- *Last updated: 2026-04-14 22:24 UTC*
 
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  data_files:
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  - split: train
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  path: data/ngrams/wuv_Latn/*.parquet
902
+ - config_name: sentences-alq_Latn
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+ data_files:
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+ - split: train
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+ path: data/sentences/alq_Latn/*.parquet
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+ - config_name: paragraphs-alq_Latn
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+ data_files:
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+ - split: train
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+ path: data/paragraphs/alq_Latn/*.parquet
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+ - config_name: words-alq_Latn
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+ data_files:
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+ - split: train
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+ path: data/words/alq_Latn/*.parquet
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+ - config_name: ngrams-alq_Latn
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+ data_files:
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+ - split: train
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+ path: data/ngrams/alq_Latn/*.parquet
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  - config_name: sentences-kms_Latn
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  data_files:
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  - split: train
 
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  data_files:
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  - split: train
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  path: data/ngrams/kup_Latn/*.parquet
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
998
  ---
999
 
1000
  # FineWeb-2 NLP
1001
 
1002
+ **3,502,614 sentences** across **424 languages**, extracted from **59,880 source documents** in [FineWeb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2). Every sentence, paragraph, word frequency, and n-gram frequency, split with language-aware segmentation and continuously updated.
1003
 
1004
  ## Table of Contents
1005
 
 
1036
 
1037
  | Type | Rows | What you get |
1038
  |------|------|-------------|
1039
+ | **sentences** | 3,502,614 | One row per sentence, with source document ID, URL, and position index |
1040
+ | **paragraphs** | 61,674 | One row per paragraph, with sentence count per paragraph |
1041
+ | **words** | 3,737,508 | Per-shard word frequency and document frequency tables |
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+ | **ngrams** | 131,864,768 | Per-shard bigram through 5-gram frequency tables |
1043
 
1044
  Every row traces back to its source document through `doc_id` and `doc_url` fields, making
1045
  it possible to navigate from any sentence or word back to the original web page. This
 
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  kas_Arab ▓▓▓▓▓▓▓▓▓▓▓▓▓ 337
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  goh_Latn ▓▓▓▓▓▓▓▓▓▓▓▓ 319
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  swg_Latn ▓▓▓▓▓▓▓▓▓▓▓▓ 301
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+ alq_Latn ▓▓▓▓▓▓▓▓▓▓▓ 280
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  lcm_Latn ▓▓▓▓▓▓▓▓▓▓▓ 279
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  kew_Latn ▓▓▓▓▓▓▓▓▓▓▓ 278
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  tvk_Latn ▓▓▓▓▓▓▓▓▓▓▓ 278
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  ppk_Latn ▓▓▓▓▓▓▓▓▓▓▓ 277
 
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  nca_Latn ▓▓▓▓▓▓▓▓▓▓▓ 277
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+ dwr_Latn ▓▓▓▓▓▓▓▓▓▓▓ 277
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  lmp_Latn ▓▓▓▓▓▓▓▓▓▓▓ 276
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  tiy_Latn ▓▓▓▓▓▓▓▓▓▓▓ 275
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  hch_Latn ▓▓▓▓▓▓▓▓▓▓▓ 275
 
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  mti_Latn ▓▓▓▓▓▓▓▓▓▓ 271
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  kij_Latn ▓▓▓▓▓▓▓▓▓▓ 271
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  wuv_Latn ▓▓▓▓▓▓▓▓▓▓ 270
 
1211
  ```
1212
 
1213
  <details>
 
1368
 
1369
  | Metric | Value |
1370
  |--------|-------|
1371
+ | **Total sentences** | **3,502,614** |
1372
+ | **Total paragraphs** | **61,674** |
1373
+ | **Total word entries** (per-shard) | **3,737,508** |
1374
+ | **Total n-gram entries** (per-shard) | **131,864,768** |
1375
+ | **Languages processed** | **424** |
1376
+ | **Source documents** | **59,880** |
1377
  | **Total parquet size** | **1.5 GB** |
1378
  | Avg sentences per document | 58.5 |
1379
  | Avg paragraphs per document | 1.0 |
 
1437
  | 52 | `naf_Latn` | 16,720 | 243 | 15,430 | 651,124 | 243 | 1 | 7.7 MB |
1438
  | 53 | `apy_Latn` | 16,716 | 182 | 7,762 | 385,838 | 182 | 1 | 4.4 MB |
1439
  | 54 | `wuv_Latn` | 16,696 | 270 | 8,660 | 543,107 | 270 | 1 | 5.5 MB |
1440
+ | 55 | `alq_Latn` | 16,666 | 280 | 23,231 | 531,995 | 280 | 1 | 6.9 MB |
1441
+ | 56 | `kms_Latn` | 16,663 | 233 | 3,611 | 588,198 | 233 | 1 | 5.5 MB |
1442
+ | 57 | `amn_Latn` | 16,616 | 242 | 12,886 | 567,953 | 242 | 1 | 5.9 MB |
1443
+ | 58 | `snc_Latn` | 16,529 | 251 | 13,637 | 556,760 | 251 | 1 | 6.8 MB |
1444
+ | 59 | `hch_Latn` | 16,378 | 275 | 34,545 | 535,920 | 261 | 1 | 8.2 MB |
1445
+ | 60 | `kup_Latn` | 16,129 | 254 | 12,815 | 778,268 | 254 | 1 | 8.5 MB |
1446
 
1447
  ## How it works
1448
 
 
1713
 
1714
  ---
1715
 
1716
+ *Last updated: 2026-04-14 22:25 UTC*
data/ngrams/alq_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:690f9715548c4e9d590f385205afb42efdada2ed917dc20ee87c40cb4c7e2579
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+ size 6117628
data/paragraphs/alq_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:75a1cd4168dccd17f537513ed1d56057703467b1667f18f0cc4752bb88f6b9c1
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+ size 548360
data/sentences/alq_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:3d26b4cfc988e878653534551511915bacf2fabcdc66d5b40d47ab8d6a414083
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+ size 485824
data/words/alq_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:da235c214f4056ee112f4bcd62decc0933dd0877017f130c49168b88e57aec63
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+ size 132322
stats.csv CHANGED
@@ -422,3 +422,4 @@ nca_Latn,nca,0,277,21709,277,7436,586659,6781264,2026-04-14T22:23:02Z
422
  tvk_Latn,tvk,0,278,17553,278,8790,662550,6750540,2026-04-14T22:23:36Z
423
  kew_Latn,kew,0,278,21285,278,13829,662404,7264286,2026-04-14T22:24:14Z
424
  lcm_Latn,lcm,0,279,17654,279,4361,659315,6581661,2026-04-14T22:24:50Z
 
 
422
  tvk_Latn,tvk,0,278,17553,278,8790,662550,6750540,2026-04-14T22:23:36Z
423
  kew_Latn,kew,0,278,21285,278,13829,662404,7264286,2026-04-14T22:24:14Z
424
  lcm_Latn,lcm,0,279,17654,279,4361,659315,6581661,2026-04-14T22:24:50Z
425
+ alq_Latn,alq,0,280,16666,280,23231,531995,7284134,2026-04-14T22:25:25Z