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Add aeu_Latn shard 0: 22,194 sentences, 2,793 paragraphs, 6,990 words, 609,820 ngrams

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README.md CHANGED
@@ -1003,7 +1003,7 @@ configs:
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  # FineWeb-2 NLP
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- **24,512,403 sentences** and **390,802,459 word tokens** across **1009 languages**, extracted from **563,417 source documents** (838.3 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.
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  ## Table of Contents
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@@ -1040,10 +1040,10 @@ linguistically useful units:
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  | Type | Rows | What you get |
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  |------|------|-------------|
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- | **sentences** | 24,512,403 | One row per sentence, with source document ID, URL, and position index |
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- | **paragraphs** | 593,410 | One row per paragraph, with sentence count per paragraph |
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- | **words** | 21,491,073 | Per-shard word frequency and document frequency tables |
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- | **ngrams** | 482,497,355 | 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
@@ -1203,6 +1203,7 @@ nah_Latn ▓▓▓▓▓▓▓▓▓ 2,823
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  bts_Latn ▓▓▓▓▓▓▓▓▓ 2,820
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  glv_Latn ▓▓▓▓▓▓▓▓▓ 2,815
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  tok_Latn ▓▓▓▓▓▓▓▓▓ 2,807
 
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  bba_Latn ▓▓▓▓▓▓▓▓▓ 2,754
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  sgs_Latn ▓▓▓▓▓▓▓▓▓ 2,753
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  dyu_Latn ▓▓▓▓▓▓▓▓▓ 2,752
@@ -1211,7 +1212,6 @@ gcf_Latn ▓▓▓▓▓▓▓▓▓ 2,688
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  npi_Latn ▓▓▓▓▓▓▓▓▓ 2,687
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  mam_Latn ▓▓▓▓▓▓▓▓▓ 2,684
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  acr_Latn ▓▓▓▓▓▓▓▓▓ 2,635
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- ksw_Mymr ▓▓▓▓▓▓▓▓▓ 2,626
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  ```
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  <details>
@@ -1372,20 +1372,20 @@ print(words_df)
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  | Metric | Value |
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  |--------|-------|
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- | **Total sentences** | **24,512,403** |
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- | **Total paragraphs** | **593,410** |
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- | **Total word tokens** | **390,802,459** |
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- | **Unique word entries** (per-shard) | 21,491,073 |
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- | **Total n-gram entries** (per-shard) | 482,497,355 |
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- | **Languages processed** | **1009** |
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- | **Source documents** | **563,417** |
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- | **Source data processed** | **838.3 MB** |
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  | **Output parquet size** | **6.3 GB** |
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  | Avg sentence length | 106.0 chars |
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- | Avg paragraph length | 4416.8 chars |
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- | Avg sentences per document | 43.5 |
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  | Avg paragraphs per document | 1.1 |
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- | Avg sentences per paragraph | 41.3 |
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  ### Per-language breakdown
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  # FineWeb-2 NLP
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+ **24,534,597 sentences** and **391,263,175 word tokens** across **1010 languages**, extracted from **566,210 source documents** (839.1 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.
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  ## Table of Contents
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  | Type | Rows | What you get |
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  |------|------|-------------|
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+ | **sentences** | 24,534,597 | One row per sentence, with source document ID, URL, and position index |
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+ | **paragraphs** | 596,203 | One row per paragraph, with sentence count per paragraph |
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+ | **words** | 21,498,063 | Per-shard word frequency and document frequency tables |
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+ | **ngrams** | 483,107,175 | 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
1049
  it possible to navigate from any sentence or word back to the original web page. This
 
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  bts_Latn ▓▓▓▓▓▓▓▓▓ 2,820
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  glv_Latn ▓▓▓▓▓▓▓▓▓ 2,815
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  tok_Latn ▓▓▓▓▓▓▓▓▓ 2,807
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+ aeu_Latn ▓▓▓▓▓▓▓▓▓ 2,793
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  bba_Latn ▓▓▓▓▓▓▓▓▓ 2,754
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  sgs_Latn ▓▓▓▓▓▓▓▓▓ 2,753
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  dyu_Latn ▓▓▓▓▓▓▓▓▓ 2,752
 
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  npi_Latn ▓▓▓▓▓▓▓▓▓ 2,687
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  mam_Latn ▓▓▓▓▓▓▓▓▓ 2,684
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  acr_Latn ▓▓▓▓▓▓▓▓▓ 2,635
 
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  ```
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  <details>
 
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  | Metric | Value |
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  |--------|-------|
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+ | **Total sentences** | **24,534,597** |
1376
+ | **Total paragraphs** | **596,203** |
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+ | **Total word tokens** | **391,263,175** |
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+ | **Unique word entries** (per-shard) | 21,498,063 |
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+ | **Total n-gram entries** (per-shard) | 483,107,175 |
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+ | **Languages processed** | **1010** |
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+ | **Source documents** | **566,210** |
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+ | **Source data processed** | **839.1 MB** |
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  | **Output parquet size** | **6.3 GB** |
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  | Avg sentence length | 106.0 chars |
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+ | Avg paragraph length | 4400.6 chars |
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+ | Avg sentences per document | 43.3 |
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  | Avg paragraphs per document | 1.1 |
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+ | Avg sentences per paragraph | 41.2 |
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  ### Per-language breakdown
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data/ngrams/aeu_Latn/0000.parquet ADDED
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data/paragraphs/aeu_Latn/0000.parquet ADDED
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data/sentences/aeu_Latn/0000.parquet ADDED
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data/words/aeu_Latn/0000.parquet ADDED
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stats.csv CHANGED
@@ -1008,3 +1008,4 @@ bts_Latn,bts,0,2733,105433,2820,47356,823150,15043453,2026-04-15T04:04:53Z,33435
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  tzm_Tfng,tzm,0,2736,29436,2888,99487,301021,11873074,2026-04-15T04:05:25Z,3383434,877333,411.2,4199.9
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  bba_Latn,bba,0,2753,94934,2754,28437,583220,10180294,2026-04-15T04:05:55Z,2596214,1395556,73.5,2566.4
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  dyu_Latn,dyu,0,2752,75228,2752,23760,460979,8229216,2026-04-15T04:06:25Z,2250070,1183216,78.7,2176.3
 
 
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  tzm_Tfng,tzm,0,2736,29436,2888,99487,301021,11873074,2026-04-15T04:05:25Z,3383434,877333,411.2,4199.9
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  bba_Latn,bba,0,2753,94934,2754,28437,583220,10180294,2026-04-15T04:05:55Z,2596214,1395556,73.5,2566.4
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  dyu_Latn,dyu,0,2752,75228,2752,23760,460979,8229216,2026-04-15T04:06:25Z,2250070,1183216,78.7,2176.3
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+ aeu_Latn,aeu,0,2793,22194,2793,6990,609820,6878161,2026-04-15T04:06:47Z,800797,460716,120.3,963.2