adfadvab

README.md

@@ -1458,6 +1458,7 @@ language:
  - snc
  - snd
  - snf
+ - snn
  - snp
  - snw
  - sny
@@ -9632,9 +9633,7 @@ Compared to HTML datasets, despite being only mildly filtered, it achieves resul
 The data was sourced from 105 [CommonCrawl](https://commoncrawl.org/) snapshots, spanning the _summer of 2013 to February 2025_, as well as refetched from the internet, and processed using 🏭 [`datatrove`](https://github.com/huggingface/datatrove/), our large scale data processing library. This carefully deduplicated and filtered dataset comprises roughly **3.65 terabytes** of 3T tokens. For PII and opt-out see [_Personal and Sensitive Information and opt-out_](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2#personal-and-sensitive-information-and-opt-out).
 
 As is tradition, the dataset is fully reproducible and released under the **ODC-By 1.0 license**.
-- ⚒️ [Reproduction code](https://github.com/huggingface/finepdfs).
-- 📚 [Blogpost](https://huggingface.co/spaces/HuggingFaceFW/FinePDFsBlog)
-
+You will be able to access the reproduction code, ablation and evaluation setup in this [GitHub repository](https://github.com/huggingface/finepdfs) soon 👷.
 ## Languages and available subsets
 Each language is identified by its [ISO 639-3 code](https://iso639-3.sil.org/code_tables/639/data), and the data is grouped by language-script pairs, since some languages have content in multiple scripts.
 
@@ -9699,15 +9698,6 @@ The following table shows the size of the filtering subset for the biggest 50 la
 | ...      |             |            |           |
 | Total    | 475,019,140 |  2918.79 B |   3.65 TB |
 
-## Changelog
-Previous versions remain available in the branch version name. You can access them using for example revision="v2.0.0".
-
-- **v1.5.0 (11-11-2025)**: Classifier labels added (DCLM, EDU, EDU-V2, OCR-QUALITY), fixed CommonCrawl paths, and corrected misalignment of labels (docling vs rolmOCR).
-- **v1.0.0 (07-09-2025)**: Initial version
-
-
-
-
 ## How to download and use 📄 FinePDFs
 
 See the tables above for the `subset` of the language you want to download.
@@ -9843,6 +9833,8 @@ Following FineWeb-2, we apply MinHash across all dumps for each language separat
 ### PII Anonymization🎭
 Kept unchanged, emails and ip addresses are anonymized. ✉️
 
+We will soon release more details and the reasoning behind each step in our upcoming blogpost 👷.
+
 ## Dataset performance evaluation and ablations
 For measuring dataset performance of `eng_Latn` subset, we refined our set of tasks to the following list (especially note the addition of 2 table extraction tasks):
 - [**SQuAD 2.0**](https://huggingface.co/datasets/lighteval/squad_v2) 

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