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Datasets:
open-index
/
fineweb-2-nlp

Tasks:
Text Generation
Feature Extraction
Text Classification
Modalities:
Tabular
Text
Languages:
Arabic
Gujarati
Hindi
Size:
10B - 100B
ArXiv:
Tags:
parquet
fineweb-2
nlp
sentences
paragraphs
words
License:
Dataset card Data Studio Files
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tamnd commited on
Commit
179472e
·
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1 Parent(s): fe521ea

Add ach_Latn shard 0: 69,776 sentences, 2,546 paragraphs, 40,122 words, 368,639 ngrams

Browse files
Files changed (6) hide show
  1. README.md +44 -44
  2. data/ngrams/ach_Latn/0000.parquet +3 -0
  3. data/paragraphs/ach_Latn/0000.parquet +3 -0
  4. data/sentences/ach_Latn/0000.parquet +3 -0
  5. data/words/ach_Latn/0000.parquet +3 -0
  6. stats.csv +1 -0
README.md CHANGED
@@ -823,6 +823,22 @@ configs:
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  data_files:
824
  - split: train
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  path: data/ngrams/nah_Latn/*.parquet
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - config_name: sentences-syc_Syrc
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  data_files:
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  - split: train
@@ -983,27 +999,11 @@ configs:
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  data_files:
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  - split: train
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  path: data/ngrams/kos_Latn/*.parquet
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- - config_name: sentences-meu_Latn
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- data_files:
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- - split: train
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- path: data/sentences/meu_Latn/*.parquet
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- - config_name: paragraphs-meu_Latn
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- data_files:
992
- - split: train
993
- path: data/paragraphs/meu_Latn/*.parquet
994
- - config_name: words-meu_Latn
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- data_files:
996
- - split: train
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- path: data/words/meu_Latn/*.parquet
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- - config_name: ngrams-meu_Latn
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- data_files:
1000
- - split: train
1001
- path: data/ngrams/meu_Latn/*.parquet
1002
  ---
1003
 
1004
  # FineWeb-2 NLP
1005
 
1006
- **23,094,575 sentences** and **369,341,679 word tokens** across **993 languages**, extracted from **521,081 source documents** (785.3 MB source data) 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.
1007
 
1008
  ## Table of Contents
1009
 
@@ -1040,10 +1040,10 @@ linguistically useful units:
1040
 
1041
  | Type | Rows | What you get |
1042
  |------|------|-------------|
1043
- | **sentences** | 23,094,575 | One row per sentence, with source document ID, URL, and position index |
1044
- | **paragraphs** | 541,712 | One row per paragraph, with sentence count per paragraph |
1045
- | **words** | 20,482,617 | Per-shard word frequency and document frequency tables |
1046
- | **ngrams** | 473,187,327 | Per-shard bigram through 5-gram frequency tables |
1047
 
1048
  Every row traces back to its source document through `doc_id` and `doc_url` fields, making
1049
  it possible to navigate from any sentence or word back to the original web page. This
@@ -1205,13 +1205,13 @@ npi_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
1205
  bjn_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,568
1206
  nbl_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,559
1207
  mnw_Mymr ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,553
 
1208
  sms_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,520
1209
  nzi_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,493
1210
  tcz_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,468
1211
  nak_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,433
1212
  cmo_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,422
1213
  lua_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,341
1214
- btx_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,305
1215
  ```
1216
 
1217
  <details>
@@ -1372,18 +1372,18 @@ print(words_df)
1372
 
1373
  | Metric | Value |
1374
  |--------|-------|
1375
- | **Total sentences** | **23,094,575** |
1376
- | **Total paragraphs** | **541,712** |
1377
- | **Total word tokens** | **369,341,679** |
1378
- | **Unique word entries** (per-shard) | 20,482,617 |
1379
- | **Total n-gram entries** (per-shard) | 473,187,327 |
1380
- | **Languages processed** | **993** |
1381
- | **Source documents** | **521,081** |
1382
- | **Source data processed** | **785.3 MB** |
1383
  | **Output parquet size** | **6.1 GB** |
1384
  | Avg sentence length | 105.0 chars |
1385
- | Avg paragraph length | 4519.3 chars |
1386
- | Avg sentences per document | 44.3 |
1387
  | Avg paragraphs per document | 1.0 |
1388
  | Avg sentences per paragraph | 42.6 |
1389
 
@@ -1440,17 +1440,17 @@ print(words_df)
1440
  | 47 | Manx (`glv_Latn`) | 72,120 | 2,815 | 1,232,597 | 99.1 | 2563.2 | 2,462 | 1 | 3.1 MB | 16.4 MB |
1441
  | 48 | bru_Latn (`bru_Latn`) | 70,108 | 1,023 | 1,316,408 | 112.9 | 7808.0 | 1,021 | 1 | 2.5 MB | 10.6 MB |
1442
  | 49 | nah_Latn (`nah_Latn`) | 69,851 | 2,823 | 693,924 | 75.1 | 1880.9 | 2,522 | 1 | 1.9 MB | 13.2 MB |
1443
- | 50 | syc_Syrc (`syc_Syrc`) | 69,636 | 1,393 | 5,158,313 | 465.3 | 23311.1 | 1,307 | 1 | 9.1 MB | 31.6 MB |
1444
- | 51 | kmb_Latn (`kmb_Latn`) | 69,286 | 1,324 | 1,033,815 | 80.7 | 4276.5 | 1,306 | 1 | 2.0 MB | 9.9 MB |
1445
- | 52 | awa_Deva (`awa_Deva`) | 68,871 | 1,905 | 1,565,158 | 162.8 | 5917.8 | 1,902 | 1 | 2.9 MB | 9.9 MB |
1446
- | 53 | umb_Latn (`umb_Latn`) | 68,289 | 1,319 | 924,878 | 81.1 | 4251.9 | 1,315 | 1 | 2.0 MB | 6.2 MB |
1447
- | 54 | Kalmyk (`xal_Cyrl`) | 67,499 | 1,478 | 672,016 | 115.1 | 5301.9 | 1,424 | 1 | 2.3 MB | 10.2 MB |
1448
- | 55 | byr_Latn (`byr_Latn`) | 67,117 | 574 | 556,136 | 81.1 | 9601.0 | 574 | 1 | 1.4 MB | 15.1 MB |
1449
- | 56 | bjn_Latn (`bjn_Latn`) | 66,827 | 2,568 | 872,195 | 89.2 | 2346.2 | 2,323 | 1 | 2.5 MB | 13.5 MB |
1450
- | 57 | ubu_Latn (`ubu_Latn`) | 66,772 | 960 | 1,195,913 | 121.6 | 8526.1 | 960 | 1 | 2.3 MB | 13.1 MB |
1451
- | 58 | hmr_Latn (`hmr_Latn`) | 66,120 | 1,619 | 1,413,234 | 110.8 | 4564.9 | 1,352 | 1 | 2.9 MB | 9.2 MB |
1452
- | 59 | kos_Latn (`kos_Latn`) | 65,989 | 1,631 | 1,098,529 | 85.5 | 3498.6 | 1,622 | 1 | 2.1 MB | 10.9 MB |
1453
- | 60 | meu_Latn (`meu_Latn`) | 65,076 | 1,294 | 1,048,907 | 94.5 | 4802.3 | 1,294 | 1 | 1.8 MB | 6.8 MB |
1454
 
1455
  ## How it works
1456
 
@@ -1721,4 +1721,4 @@ Created by **Duc-Tam Nguyen** ([tamnd](https://huggingface.co/tamnd)) as part of
1721
 
1722
  ---
1723
 
1724
- *Last updated: 2026-04-15 03:57 UTC*
 
823
  data_files:
824
  - split: train
825
  path: data/ngrams/nah_Latn/*.parquet
826
+ - config_name: sentences-ach_Latn
827
+ data_files:
828
+ - split: train
829
+ path: data/sentences/ach_Latn/*.parquet
830
+ - config_name: paragraphs-ach_Latn
831
+ data_files:
832
+ - split: train
833
+ path: data/paragraphs/ach_Latn/*.parquet
834
+ - config_name: words-ach_Latn
835
+ data_files:
836
+ - split: train
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+ path: data/words/ach_Latn/*.parquet
838
+ - config_name: ngrams-ach_Latn
839
+ data_files:
840
+ - split: train
841
+ path: data/ngrams/ach_Latn/*.parquet
842
  - config_name: sentences-syc_Syrc
843
  data_files:
844
  - split: train
 
999
  data_files:
1000
  - split: train
1001
  path: data/ngrams/kos_Latn/*.parquet
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1002
  ---
1003
 
1004
  # FineWeb-2 NLP
1005
 
1006
+ **23,164,351 sentences** and **370,555,018 word tokens** across **994 languages**, extracted from **523,603 source documents** (787.7 MB source data) 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.
1007
 
1008
  ## Table of Contents
1009
 
 
1040
 
1041
  | Type | Rows | What you get |
1042
  |------|------|-------------|
1043
+ | **sentences** | 23,164,351 | One row per sentence, with source document ID, URL, and position index |
1044
+ | **paragraphs** | 544,258 | One row per paragraph, with sentence count per paragraph |
1045
+ | **words** | 20,522,739 | Per-shard word frequency and document frequency tables |
1046
+ | **ngrams** | 473,555,966 | Per-shard bigram through 5-gram frequency tables |
1047
 
1048
  Every row traces back to its source document through `doc_id` and `doc_url` fields, making
1049
  it possible to navigate from any sentence or word back to the original web page. This
 
1205
  bjn_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,568
1206
  nbl_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,559
1207
  mnw_Mymr ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,553
1208
+ ach_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,546
1209
  sms_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,520
1210
  nzi_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,493
1211
  tcz_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,468
1212
  nak_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,433
1213
  cmo_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,422
1214
  lua_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,341
 
1215
  ```
1216
 
1217
  <details>
 
1372
 
1373
  | Metric | Value |
1374
  |--------|-------|
1375
+ | **Total sentences** | **23,164,351** |
1376
+ | **Total paragraphs** | **544,258** |
1377
+ | **Total word tokens** | **370,555,018** |
1378
+ | **Unique word entries** (per-shard) | 20,522,739 |
1379
+ | **Total n-gram entries** (per-shard) | 473,555,966 |
1380
+ | **Languages processed** | **994** |
1381
+ | **Source documents** | **523,603** |
1382
+ | **Source data processed** | **787.7 MB** |
1383
  | **Output parquet size** | **6.1 GB** |
1384
  | Avg sentence length | 105.0 chars |
1385
+ | Avg paragraph length | 4509.5 chars |
1386
+ | Avg sentences per document | 44.2 |
1387
  | Avg paragraphs per document | 1.0 |
1388
  | Avg sentences per paragraph | 42.6 |
1389
 
 
1440
  | 47 | Manx (`glv_Latn`) | 72,120 | 2,815 | 1,232,597 | 99.1 | 2563.2 | 2,462 | 1 | 3.1 MB | 16.4 MB |
1441
  | 48 | bru_Latn (`bru_Latn`) | 70,108 | 1,023 | 1,316,408 | 112.9 | 7808.0 | 1,021 | 1 | 2.5 MB | 10.6 MB |
1442
  | 49 | nah_Latn (`nah_Latn`) | 69,851 | 2,823 | 693,924 | 75.1 | 1880.9 | 2,522 | 1 | 1.9 MB | 13.2 MB |
1443
+ | 50 | ach_Latn (`ach_Latn`) | 69,776 | 2,546 | 1,213,339 | 87.9 | 2436.0 | 2,522 | 1 | 2.4 MB | 7.9 MB |
1444
+ | 51 | syc_Syrc (`syc_Syrc`) | 69,636 | 1,393 | 5,158,313 | 465.3 | 23311.1 | 1,307 | 1 | 9.1 MB | 31.6 MB |
1445
+ | 52 | kmb_Latn (`kmb_Latn`) | 69,286 | 1,324 | 1,033,815 | 80.7 | 4276.5 | 1,306 | 1 | 2.0 MB | 9.9 MB |
1446
+ | 53 | awa_Deva (`awa_Deva`) | 68,871 | 1,905 | 1,565,158 | 162.8 | 5917.8 | 1,902 | 1 | 2.9 MB | 9.9 MB |
1447
+ | 54 | umb_Latn (`umb_Latn`) | 68,289 | 1,319 | 924,878 | 81.1 | 4251.9 | 1,315 | 1 | 2.0 MB | 6.2 MB |
1448
+ | 55 | Kalmyk (`xal_Cyrl`) | 67,499 | 1,478 | 672,016 | 115.1 | 5301.9 | 1,424 | 1 | 2.3 MB | 10.2 MB |
1449
+ | 56 | byr_Latn (`byr_Latn`) | 67,117 | 574 | 556,136 | 81.1 | 9601.0 | 574 | 1 | 1.4 MB | 15.1 MB |
1450
+ | 57 | bjn_Latn (`bjn_Latn`) | 66,827 | 2,568 | 872,195 | 89.2 | 2346.2 | 2,323 | 1 | 2.5 MB | 13.5 MB |
1451
+ | 58 | ubu_Latn (`ubu_Latn`) | 66,772 | 960 | 1,195,913 | 121.6 | 8526.1 | 960 | 1 | 2.3 MB | 13.1 MB |
1452
+ | 59 | hmr_Latn (`hmr_Latn`) | 66,120 | 1,619 | 1,413,234 | 110.8 | 4564.9 | 1,352 | 1 | 2.9 MB | 9.2 MB |
1453
+ | 60 | kos_Latn (`kos_Latn`) | 65,989 | 1,631 | 1,098,529 | 85.5 | 3498.6 | 1,622 | 1 | 2.1 MB | 10.9 MB |
1454
 
1455
  ## How it works
1456
 
 
1721
 
1722
  ---
1723
 
1724
+ *Last updated: 2026-04-15 03:58 UTC*
data/ngrams/ach_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ size 2919451
data/paragraphs/ach_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:41b0a2294a5a3ad89b0d737e4e9cc05281844503e1ae0a1ff942857fdb10146f
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+ size 2740731
data/sentences/ach_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:ad75c222e24a7d41fada4247923628cd81591333b3790972e7f1374723d665e8
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+ size 2478843
data/words/ach_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:bd349cfa8194d8de23b6e0ee92471a46996913158b560faa639f96d5b7ba296a
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+ size 185382
stats.csv CHANGED
@@ -992,3 +992,4 @@ sms_Latn,sms,0,2478,72503,2520,86272,317671,10554308,2026-04-15T03:55:32Z,291058
992
  nzi_Latn,nzi,0,2493,103176,2493,22902,957794,17114234,2026-04-15T03:56:18Z,3846118,1828257,104.6,4371.2
993
  nbl_Latn,nbl,0,2519,140093,2559,194768,155551,13368581,2026-04-15T03:57:00Z,5082814,1337358,85.0,4706.4
994
  nah_Latn,nah,0,2522,69851,2823,107952,737114,13834784,2026-04-15T03:57:34Z,1943997,693924,75.1,1880.9
 
 
992
  nzi_Latn,nzi,0,2493,103176,2493,22902,957794,17114234,2026-04-15T03:56:18Z,3846118,1828257,104.6,4371.2
993
  nbl_Latn,nbl,0,2519,140093,2559,194768,155551,13368581,2026-04-15T03:57:00Z,5082814,1337358,85.0,4706.4
994
  nah_Latn,nah,0,2522,69851,2823,107952,737114,13834784,2026-04-15T03:57:34Z,1943997,693924,75.1,1880.9
995
+ ach_Latn,ach,0,2522,69776,2546,40122,368639,8324407,2026-04-15T03:58:05Z,2526527,1213339,87.9,2436.0