Update README.md

README.md

@@ -1,5 +1,6 @@
 ---
-thumbnail: "https://huggingface.co/datasets/HuggingFaceCode/stack-v3-train/resolve/main/assets/banner.png"
+thumbnail: >-
+  https://huggingface.co/datasets/HuggingFaceCode/stack-v3-train/resolve/main/assets/banner.png
 annotations_creators: []
 language_creators:
 - crowdsourced
@@ -16,7 +17,7 @@ source_datasets: []
 task_categories:
 - text-generation
 task_ids: []
-pretty_name: The Stack v3
+pretty_name: The Stack v3 🤖
 tags:
 - code
 dataset_info:
@@ -128,7 +129,7 @@ The Stack v3 is published in two complementary datasets:
 
 `stack-v3-train` is derived from `stack-v3-full`: it is the near-deduplicated corpus with an additional round of quality heuristics applied, restricted to one representative per duplicate cluster, and grouped so that each row is a full repository.
 
-`stack-v3-full` is documented in its own [dataset card](https://huggingface.co/buckets/HuggingFaceCode/stack-v3-full). Reach for it when `stack-v3-train` is not enough: it retains all near-duplicates with their **`dedup_cluster`** IDs and pre-filtering signals (so you can roll your own deduplication and filtering), and its metadata lists **every** file of every repository — including stubs for binary, oversized, and undetected-language files — so you can locate and re-crawl anything we excluded (PDFs, binary assets, niche languages).
+`stack-v3-full` is documented in its own [dataset card](https://huggingface.co/Pq234/HuggingFaceCode/stack-v3-full). Reach for it when `stack-v3-train` is not enough: it retains all near-duplicates with their **`dedup_cluster`** IDs and pre-filtering signals (so you can roll your own deduplication and filtering), and its metadata lists **every** file of every repository — including stubs for binary, oversized, and undetected-language files — so you can locate and re-crawl anything we excluded (PDFs, binary assets, niche languages).
 
 ### Changelog
 
@@ -367,4 +368,4 @@ The Stack v3 builds on the methodology of The Stack v2 / StarCoder2:
 
 ### Acknowledgements
 
-This dataset is derived from source code hosted on GitHub. We thank the developers who make their work publicly available, and the [BigCode](https://www.bigcode-project.org/) community, whose work on dataset filters, PII detection, and open code dataset governance informed much of this pipeline.
+This dataset is derived from source code hosted on GitHub. We thank the developers who make their work publicly available, and the [BigCode](https://www.bigcode-project.org/) community, whose work on dataset filters, PII detection, and open code dataset governance informed much of this pipeline.