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1 Parent(s): 1e9e203

Add agd_Latn shard 0: 17564 sentences, 1111 paragraphs, 11851 words, 636243 ngrams

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README.md CHANGED
@@ -1000,7 +1000,7 @@ configs:
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  # FineWeb-2 NLP
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- **14,267,011 sentences** across **859 languages**, extracted from **296,626 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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@@ -1037,10 +1037,10 @@ linguistically useful units:
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  | Type | Rows | What you get |
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  |------|------|-------------|
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- | **sentences** | 14,267,011 | One row per sentence, with source document ID, URL, and position index |
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- | **paragraphs** | 303,886 | One row per paragraph, with sentence count per paragraph |
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- | **words** | 12,484,463 | Per-shard word frequency and document frequency tables |
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- | **ngrams** | 394,996,687 | 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
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  it possible to navigate from any sentence or word back to the original web page. This
@@ -1191,9 +1191,10 @@ GROUP BY lang ORDER BY sentences DESC LIMIT 30;
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  ```
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  dag_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,870
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  dak_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,328
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- jbo_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,246
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  kan_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,246
 
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  tuk_Cyrl ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,128
 
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  krj_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,107
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  tzj_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,094
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  med_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,093
@@ -1206,9 +1207,8 @@ rad_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1
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  nch_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,028
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  cuk_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,027
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  aoj_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,026
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- ium_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,023
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  bru_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,023
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- cbs_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,020
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  ```
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  <details>
@@ -1369,16 +1369,16 @@ print(words_df)
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  | Metric | Value |
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  |--------|-------|
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- | **Total sentences** | **14,267,011** |
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- | **Total paragraphs** | **303,886** |
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- | **Total word entries** (per-shard) | **12,484,463** |
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- | **Total n-gram entries** (per-shard) | **394,996,687** |
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- | **Languages processed** | **859** |
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- | **Source documents** | **296,626** |
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  | **Total parquet size** | **4.7 GB** |
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- | Avg sentences per document | 48.1 |
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  | Avg paragraphs per document | 1.0 |
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- | Avg sentences per paragraph | 46.9 |
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  ### Per-language breakdown
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  # FineWeb-2 NLP
1002
 
1003
+ **14,284,575 sentences** across **860 languages**, extracted from **297,737 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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1037
 
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  | Type | Rows | What you get |
1039
  |------|------|-------------|
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+ | **sentences** | 14,284,575 | One row per sentence, with source document ID, URL, and position index |
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+ | **paragraphs** | 304,997 | One row per paragraph, with sentence count per paragraph |
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+ | **words** | 12,496,314 | Per-shard word frequency and document frequency tables |
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+ | **ngrams** | 395,632,930 | 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
1046
  it possible to navigate from any sentence or word back to the original web page. This
 
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  ```
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  dag_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,870
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  dak_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,328
 
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  kan_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,246
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+ jbo_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,246
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  tuk_Cyrl ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,128
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+ agd_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,111
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  krj_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,107
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  tzj_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,094
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  med_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,093
 
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  nch_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,028
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  cuk_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,027
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  aoj_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,026
 
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  bru_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,023
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+ ium_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 1,023
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  ```
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  <details>
 
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  | Metric | Value |
1371
  |--------|-------|
1372
+ | **Total sentences** | **14,284,575** |
1373
+ | **Total paragraphs** | **304,997** |
1374
+ | **Total word entries** (per-shard) | **12,496,314** |
1375
+ | **Total n-gram entries** (per-shard) | **395,632,930** |
1376
+ | **Languages processed** | **860** |
1377
+ | **Source documents** | **297,737** |
1378
  | **Total parquet size** | **4.7 GB** |
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+ | Avg sentences per document | 48.0 |
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  | Avg paragraphs per document | 1.0 |
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+ | Avg sentences per paragraph | 46.8 |
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  ### Per-language breakdown
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data/ngrams/agd_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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data/paragraphs/agd_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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data/sentences/agd_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ size 664846
data/words/agd_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ size 55580
stats.csv CHANGED
@@ -858,3 +858,4 @@ aby_Latn,aby,0,1080,22459,1080,13325,698808,8000298,2026-04-15T01:57:01Z
858
  kan_Latn,kan,0,1070,58415,1246,93551,350624,9005296,2026-04-15T01:57:29Z
859
  med_Latn,med,0,1093,36610,1093,8743,364301,5242762,2026-04-15T01:57:50Z
860
  krj_Latn,krj,0,1098,63298,1107,53024,663468,11056918,2026-04-15T01:58:12Z
 
 
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  kan_Latn,kan,0,1070,58415,1246,93551,350624,9005296,2026-04-15T01:57:29Z
859
  med_Latn,med,0,1093,36610,1093,8743,364301,5242762,2026-04-15T01:57:50Z
860
  krj_Latn,krj,0,1098,63298,1107,53024,663468,11056918,2026-04-15T01:58:12Z
861
+ agd_Latn,agd,0,1111,17564,1111,11851,636243,7230717,2026-04-15T01:58:35Z