Datasets:

HuggingFaceCode
/

stack-v3-train

@@ -71,6 +71,8 @@ dataset_info:
       dtype: string
     - name: detected_licenses
       sequence: string
 configs:
 - config_name: default
   data_files:
@@ -102,7 +104,7 @@ Two things set v3 apart from earlier releases of The Stack:
 1. **The file contents are included inline.** The decoded UTF-8 source text is embedded directly in the dataset, so it is fully self-contained — you can start training the moment the download finishes.
 2. **It reflects the state of GitHub in August 2025.** The corpus is a direct crawl of GitHub repositories at their default-branch HEAD, capturing roughly two additional years of open-source code compared to The Stack v2.
-> The Stack v3 training subset contains **15.9 TB** of source code across **713** programming languages from **173M** repositories (~**3.6 trillion** tokens).
 > The Full Stack v3 corpus contains **113.7 TB** of source code across **770** languages from **224M** repositories.
 ### The Stack across versions
@@ -112,7 +114,7 @@ Two things set v3 apart from earlier releases of The Stack:
 | cutoff | 2022 | 2023 | 2025         |
 | full | 6.4 TB | 67.5 TB | 113.7 TB     |
 | dedup | 2.9 TB | 32.1 TB | 99.3 TB      |
-| train | ~200B tokens | 2.0 TB / ~550B tokens | 11.5 TB / ~3.6T tokens |
 | languages | 358 | 618 | 713          |
 ## What is being released
@@ -132,7 +134,6 @@ The Stack v3 is published in two complementary datasets:
 | Release | Description |
 |---|---|
-| v3.1 | Removed exact-duplicate files that leaked due to a partitioning bug, 4.9T -> 3.6T tokens. |
 | v3.0 | Initial release of The Stack v3. |
 ## How to download and use it
@@ -356,13 +357,13 @@ The Stack v3 builds on the methodology of The Stack v2 / StarCoder2:
 ```bibtex
 @misc{lozhkov2024starcoder,
       title={StarCoder 2 and The Stack v2: The Next Generation},
-      author={Anton Lozhkov and Raymond Li and Loubna Ben Allal and Federico Cassano and Joel Lamy-Poirier and Nouamane Tazi and Ao Tang and Dmytro Pykhtar and Jiawei Liu and Yuxiang Wei and Tianyang Liu and Max Tian and Denis Kocetkov and Arthur Zucker and Younes Belkada and Zijian Wang and Qian Liu and Dmitry Abulkhanov and Indraneil Paul and Zhuang Li and Wen-Ding Li and Megan Risdal and Jia Li and Jian Zhu and Terry Yue Zhuo and Evgenii Zheltonozhskii and Nii Osae Osae Dade and Wenhao Yu and Lucas Krauß and Naman Jain and Yixuan Su and Xuanli He and Manan Dey and Edoardo Abati and Yekun Chai and Niklas Muennighoff and Xiangru Tang and Muhtasham Oblokulov and Christopher Akiki and Marc Marone and Chenghao Mou and Mayank Mishra and Alex Gu and Binyuan Hui and Tri Dao and Armel Zebaze and Olivier Dehaene and Nicolas Patry and Canwen Xu and Julian McAuley and Han Hu and Torsten Scholak and Sebastien Paquet and Jennifer Robinson and Carolyn Jane Anderson and Nicolas Chapados and Mostofa Patwary and Nima Tajbakhsh and Yacine Jernite and Carlos Muñoz Ferrandis and Lingming Zhang and Sean Hughes and Thomas Wolf and Arjun Guha and Leandro von Werra and Harm de Vries},
       year={2024},
       eprint={2402.19173},
       archivePrefix={arXiv},
       primaryClass={cs.SE}
 }
-```
 ### Acknowledgements

       dtype: string
     - name: detected_licenses
       sequence: string
+  splits:
+  - name: train
 configs:
 - config_name: default
   data_files:
 1. **The file contents are included inline.** The decoded UTF-8 source text is embedded directly in the dataset, so it is fully self-contained — you can start training the moment the download finishes.
 2. **It reflects the state of GitHub in August 2025.** The corpus is a direct crawl of GitHub repositories at their default-branch HEAD, capturing roughly two additional years of open-source code compared to The Stack v2.
+> The Stack v3 training subset contains **15.9 TB** of source code across **713** programming languages from **173M** repositories (~**4.9 trillion** tokens).
 > The Full Stack v3 corpus contains **113.7 TB** of source code across **770** languages from **224M** repositories.
 ### The Stack across versions
 | cutoff | 2022 | 2023 | 2025         |
 | full | 6.4 TB | 67.5 TB | 113.7 TB     |
 | dedup | 2.9 TB | 32.1 TB | 99.3 TB      |
+| train | ~200B tokens | 2.0 TB / ~550B tokens | 15.9 TB / ~4.9T tokens |
 | languages | 358 | 618 | 713          |
 ## What is being released
 | Release | Description |
 |---|---|
 | v3.0 | Initial release of The Stack v3. |
 ## How to download and use it
 ```bibtex
 @misc{lozhkov2024starcoder,
       title={StarCoder 2 and The Stack v2: The Next Generation},
+      author={Anton Lozhkov and Raymond Li and Loubna Ben Allal and Federico Cassano and Joel Lamy-Poirier and Nouamane Tazi and Ao Tang and Dmytro Pykhtar and Jiawei Liu and Yuxiang Wei and Tianyang Liu and Max Tian and Denis Kocetkov and Arthur Zucker and Younes Belkada and Zijian Wang and Qian Liu and Dmitry Abulkhanov and Indraneil Paul and Zhuang Li and Wen-Ding Li and Megan Risdal and Jia Li and Jian Zhu and Terry Yue Zhuo and Evgenii Zheltonozhskii and Nii Osae Osae Dade and Wenhao Yu and Lucas Krauß and Naman Jain and Yixuan Su and Xuanli He and Manan Dey and Edoardo Abati and Yekun Chai and Niklas Muennighoff and Xiangru Tang and Muhtasham Oblokulov and Christopher Akiki and Marc Marone and Chenghao Mou and Mayank Mishra and Alex Gu and Binyuan Hui and Tri Dao and Armel Zebaze and Olivier Dehaene and Nicolas Patry and Canwen Xu and Julian McAuley and Han Hu and Torsten Scholak and Sebastien Paquet and Jennifer Robinson and Carolyn Jane Anderson and Nicolas Chapados and Mostofa Patwary and Nima Tajbakhsh and Yacine Jernite and Carlos Muñoz Ferrandis and Lingming Zhang and Sean Hughes and Thomas Wolf and Arjun Guha and Leandro von Werra and Harm de Vries}{Pq234},
       year={2024},
       eprint={2402.19173},
       archivePrefix={arXiv},
       primaryClass={cs.SE}
 }
 ### Acknowledgements

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-size 344907501