Datasets:
Add alq_Latn shard 0: 16666 sentences, 280 paragraphs, 23231 words, 531995 ngrams
Browse files- README.md +36 -36
- data/ngrams/alq_Latn/0000.parquet +3 -0
- data/paragraphs/alq_Latn/0000.parquet +3 -0
- data/sentences/alq_Latn/0000.parquet +3 -0
- data/words/alq_Latn/0000.parquet +3 -0
- stats.csv +1 -0
README.md
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@@ -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
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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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# FineWeb-2 NLP
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**3,
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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,
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| **paragraphs** | 61,
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| **words** | 3,
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| **ngrams** | 131,
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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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@@ -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
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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>
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| Metric | Value |
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|--------|-------|
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| **Total sentences** | **3,
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| **Total paragraphs** | **61,
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| **Total word entries** (per-shard) | **3,
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| **Total n-gram entries** (per-shard) | **131,
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| **Languages processed** | **
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| **Source documents** | **59,
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| **Total parquet size** | **1.5 GB** |
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| Avg sentences per document | 58.5 |
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| Avg paragraphs per document | 1.0 |
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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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## 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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---
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-
*Last updated: 2026-04-14 22:
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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-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
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---
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# FineWeb-2 NLP
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**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.
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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** | 3,502,614 | One row per sentence, with source document ID, URL, and position index |
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| **paragraphs** | 61,674 | One row per paragraph, with sentence count per paragraph |
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| **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 |
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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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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
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```
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<details>
|
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| Metric | Value |
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| 1370 |
|--------|-------|
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| 1371 |
+
| **Total sentences** | **3,502,614** |
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+
| **Total paragraphs** | **61,674** |
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| 1373 |
+
| **Total word entries** (per-shard) | **3,737,508** |
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| 1374 |
+
| **Total n-gram entries** (per-shard) | **131,864,768** |
|
| 1375 |
+
| **Languages processed** | **424** |
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| 1376 |
+
| **Source documents** | **59,880** |
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| 1377 |
| **Total parquet size** | **1.5 GB** |
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| Avg sentences per document | 58.5 |
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| Avg paragraphs per document | 1.0 |
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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 | `alq_Latn` | 16,666 | 280 | 23,231 | 531,995 | 280 | 1 | 6.9 MB |
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| 56 | `kms_Latn` | 16,663 | 233 | 3,611 | 588,198 | 233 | 1 | 5.5 MB |
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+
| 57 | `amn_Latn` | 16,616 | 242 | 12,886 | 567,953 | 242 | 1 | 5.9 MB |
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| 58 | `snc_Latn` | 16,529 | 251 | 13,637 | 556,760 | 251 | 1 | 6.8 MB |
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| 59 | `hch_Latn` | 16,378 | 275 | 34,545 | 535,920 | 261 | 1 | 8.2 MB |
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| 60 | `kup_Latn` | 16,129 | 254 | 12,815 | 778,268 | 254 | 1 | 8.5 MB |
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## How it works
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---
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*Last updated: 2026-04-14 22:25 UTC*
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data/ngrams/alq_Latn/0000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:690f9715548c4e9d590f385205afb42efdada2ed917dc20ee87c40cb4c7e2579
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size 6117628
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data/paragraphs/alq_Latn/0000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:75a1cd4168dccd17f537513ed1d56057703467b1667f18f0cc4752bb88f6b9c1
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size 548360
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data/sentences/alq_Latn/0000.parquet
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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
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data/words/alq_Latn/0000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:da235c214f4056ee112f4bcd62decc0933dd0877017f130c49168b88e57aec63
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size 132322
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stats.csv
CHANGED
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@@ -422,3 +422,4 @@ nca_Latn,nca,0,277,21709,277,7436,586659,6781264,2026-04-14T22:23:02Z
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tvk_Latn,tvk,0,278,17553,278,8790,662550,6750540,2026-04-14T22:23:36Z
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kew_Latn,kew,0,278,21285,278,13829,662404,7264286,2026-04-14T22:24:14Z
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lcm_Latn,lcm,0,279,17654,279,4361,659315,6581661,2026-04-14T22:24:50Z
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tvk_Latn,tvk,0,278,17553,278,8790,662550,6750540,2026-04-14T22:23:36Z
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kew_Latn,kew,0,278,21285,278,13829,662404,7264286,2026-04-14T22:24:14Z
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| 424 |
lcm_Latn,lcm,0,279,17654,279,4361,659315,6581661,2026-04-14T22:24:50Z
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| 425 |
+
alq_Latn,alq,0,280,16666,280,23231,531995,7284134,2026-04-14T22:25:25Z
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