Update README.md

README.md

@@ -9632,7 +9632,9 @@ 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**.
-You will be able to access the reproduction code, ablation and evaluation setup in this [GitHub repository](https://github.com/huggingface/finepdfs) soon 👷.
+- ⚒️ [Reproduction code](https://github.com/huggingface/finepdfs).
+- 📚 [Blogpost](https://huggingface.co/spaces/HuggingFaceFW/FinePDFsBlog)
+
 ## 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.
 
@@ -9841,8 +9843,6 @@ 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)