Datasets:
Add acr_Latn shard 0: 43,626 sentences, 2,635 paragraphs, 19,689 words, 525,920 ngrams
Browse files- README.md +18 -18
- data/ngrams/acr_Latn/0000.parquet +3 -0
- data/paragraphs/acr_Latn/0000.parquet +3 -0
- data/sentences/acr_Latn/0000.parquet +3 -0
- data/words/acr_Latn/0000.parquet +3 -0
- stats.csv +1 -0
README.md
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@@ -1003,7 +1003,7 @@ configs:
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# FineWeb-2 NLP
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**23,
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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** | 23,
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| **paragraphs** |
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| **words** | 20,
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| **ngrams** | 477,
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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
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sgs_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,753
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gcf_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,688
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npi_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,687
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ksw_Mymr ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,626
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crh_Cyrl ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,617
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| 1207 |
bam_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,596
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@@ -1210,7 +1211,6 @@ bjn_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
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nbl_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,559
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| 1211 |
aaz_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,559
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| 1212 |
mnw_Mymr ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,553
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acd_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,546
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ach_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,546
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```
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@@ -1372,20 +1372,20 @@ print(words_df)
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| Metric | Value |
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|--------|-------|
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| **Total sentences** | **23,
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| **Total paragraphs** | **
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| **Total word tokens** | **
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| **Unique word entries** (per-shard) | 20,
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| 1379 |
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| **Total n-gram entries** (per-shard) | 477,
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| 1380 |
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| **Languages processed** | **
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| 1381 |
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| **Source documents** | **
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| 1382 |
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| **Source data processed** | **
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| **Output parquet size** | **6.2 GB** |
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| Avg sentence length | 105.9 chars |
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| Avg paragraph length |
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| Avg sentences per document | 43.
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| Avg paragraphs per document | 1.0 |
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| Avg sentences per paragraph | 42.
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### Per-language breakdown
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@@ -1721,4 +1721,4 @@ Created by **Duc-Tam Nguyen** ([tamnd](https://huggingface.co/tamnd)) as part of
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---
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*Last updated: 2026-04-15 04:
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# FineWeb-2 NLP
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**23,713,001 sentences** and **379,212,329 word tokens** across **1001 languages**, extracted from **541,693 source documents** (810.3 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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| Type | Rows | What you get |
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|------|------|-------------|
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| **sentences** | 23,713,001 | One row per sentence, with source document ID, URL, and position index |
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| **paragraphs** | 562,428 | One row per paragraph, with sentence count per paragraph |
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| **words** | 20,935,604 | Per-shard word frequency and document frequency tables |
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| **ngrams** | 477,976,854 | 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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| 1049 |
it possible to navigate from any sentence or word back to the original web page. This
|
|
|
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| 1202 |
sgs_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,753
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| 1203 |
gcf_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,688
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npi_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,687
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+
acr_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,635
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ksw_Mymr ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,626
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crh_Cyrl ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,617
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bam_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,596
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nbl_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,559
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aaz_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,559
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mnw_Mymr ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,553
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ach_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 2,546
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```
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| Metric | Value |
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|--------|-------|
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| **Total sentences** | **23,713,001** |
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| 1376 |
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| **Total paragraphs** | **562,428** |
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| 1377 |
+
| **Total word tokens** | **379,212,329** |
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| 1378 |
+
| **Unique word entries** (per-shard) | 20,935,604 |
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| 1379 |
+
| **Total n-gram entries** (per-shard) | 477,976,854 |
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| 1380 |
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| **Languages processed** | **1001** |
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| 1381 |
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| **Source documents** | **541,693** |
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| 1382 |
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| **Source data processed** | **810.3 MB** |
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| **Output parquet size** | **6.2 GB** |
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| Avg sentence length | 105.9 chars |
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| Avg paragraph length | 4504.5 chars |
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| Avg sentences per document | 43.8 |
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| Avg paragraphs per document | 1.0 |
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| Avg sentences per paragraph | 42.2 |
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### Per-language breakdown
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---
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*Last updated: 2026-04-15 04:02 UTC*
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data/ngrams/acr_Latn/0000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:8960510b4e489eda526fd8e7a59da69df9449e6cc326559af19c6784a0ab2ecf
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size 4530213
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data/paragraphs/acr_Latn/0000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:7130af87b491b4840f5d1f8cdc484678918a3d5162965d14611ec42beb6f8884
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size 1421249
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data/sentences/acr_Latn/0000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8a7d962ff2e7228b4ad3eb4214c8162ab6e6ec0a105613c000f080db813a29d
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size 1405186
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data/words/acr_Latn/0000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:373a67adc63b418940e84558d2e0377c620db059d9848aa08093aa621e678ef6
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size 100399
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stats.csv
CHANGED
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@@ -999,3 +999,4 @@ bam_Latn,bam,0,2573,48336,2596,56193,468867,8782367,2026-04-15T03:59:35Z,2053458
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crh_Cyrl,crh,0,2576,210189,2617,204710,833702,34446723,2026-04-15T04:00:32Z,9259119,2385362,149.5,12087.6
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wal_Latn,wal,0,2590,126137,2591,96456,283769,12211366,2026-04-15T04:01:12Z,4123538,1383936,88.6,4360.1
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ksw_Mymr,ksw,0,2611,49482,2626,15593,578806,16182649,2026-04-15T04:01:43Z,4678683,2233919,432.3,8164.1
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crh_Cyrl,crh,0,2576,210189,2617,204710,833702,34446723,2026-04-15T04:00:32Z,9259119,2385362,149.5,12087.6
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| 1000 |
wal_Latn,wal,0,2590,126137,2591,96456,283769,12211366,2026-04-15T04:01:12Z,4123538,1383936,88.6,4360.1
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ksw_Mymr,ksw,0,2611,49482,2626,15593,578806,16182649,2026-04-15T04:01:43Z,4678683,2233919,432.3,8164.1
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+
acr_Latn,acr,0,2635,43626,2635,19689,525920,7457047,2026-04-15T04:02:10Z,1442157,760996,90.7,1516.7
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