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  ---
 
 
 
 
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  dataset_info:
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  - config_name: go
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  features:
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  - split: train
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  path: ruby/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ - code
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  dataset_info:
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  - config_name: go
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  features:
 
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  - split: train
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  path: ruby/train-*
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  ---
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+ This dataset is a copy of the [CoRNStack data](https://huggingface.co/collections/nomic-ai/cornstack) from Nomic. This is just a reformating of the data to make it easily usable in [PyLate](https://lightonai.github.io/pylate/) and [sentence-transformers](https://github.com/huggingface/sentence-transformers). The data has been created from the Stack v2 by using docstring as queries and corresponding functions as target documents. Other functions has been mined to provide hard negatives. For more information about the creation of the dataset, please refer to the [original paper](https://arxiv.org/abs/2412.01007) and please considering citing them if you use this data.
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+ Notably, this dataset has been used to perform the pre-training of the state-of-the-art late interaction [LateOn-Code models](https://huggingface.co/collections/lightonai/lateon-code). The boilerplate used to train the model using this data can be found [here](https://github.com/lightonai/pylate/blob/main/examples/train/lateon_code/pre-training.py). For more information about the training and usage of the models, please refer to our [blogpost](https://huggingface.co/blog/lightonai/colgrep-lateon-code) (or model cards).
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+ ### Citation
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+ #### CoRNStack
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+ ```bibtex
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+ @inproceedings{DBLP:conf/iclr/SureshRXNMDJ25,
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+ author = {Tarun Suresh and
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+ Revanth Gangi Reddy and
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+ Yifei Xu and
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+ Zach Nussbaum and
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+ Andriy Mulyar and
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+ Brandon Duderstadt and
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+ Heng Ji},
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+ title = {CoRNStack: High-Quality Contrastive Data for Better Code Retrieval
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+ and Reranking},
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+ booktitle = {The Thirteenth International Conference on Learning Representations,
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+ {ICLR} 2025, Singapore, April 24-28, 2025},
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+ publisher = {OpenReview.net},
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+ year = {2025},
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+ url = {https://openreview.net/forum?id=iyJOUELYir},
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+ timestamp = {Sun, 25 May 2025 21:25:19 +0200},
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+ biburl = {https://dblp.org/rec/conf/iclr/SureshRXNMDJ25.bib},
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+ bibsource = {dblp computer science bibliography, https://dblp.org}
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+ }
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+ ```
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+ #### PyLate
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+ ```bibtex
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+ @inproceedings{DBLP:conf/cikm/ChaffinS25,
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+ author = {Antoine Chaffin and
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+ Rapha{"{e}}l Sourty},
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+ editor = {Meeyoung Cha and
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+ Chanyoung Park and
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+ Noseong Park and
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+ Carl Yang and
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+ Senjuti Basu Roy and
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+ Jessie Li and
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+ Jaap Kamps and
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+ Kijung Shin and
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+ Bryan Hooi and
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+ Lifang He},
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+ title = {PyLate: Flexible Training and Retrieval for Late Interaction Models},
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+ booktitle = {Proceedings of the 34th {ACM} International Conference on Information
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+ and Knowledge Management, {CIKM} 2025, Seoul, Republic of Korea, November
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+ 10-14, 2025},
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+ pages = {6334--6339},
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+ publisher = {{ACM}},
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+ year = {2025},
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+ url = {https://github.com/lightonai/pylate},
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+ doi = {10.1145/3746252.3761608},
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+ }
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+ ```
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+
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+ #### LateOn-Code
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+ ```bibtex
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+ @misc{LateOn-Code,
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+ title = {LateOn-Code: a Family of State-Of-The-Art Late Interaction Code Retrieval Models},
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+ author = {Chaffin, Antoine},
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+ url = {https://huggingface.co/collections/lightonai/lateon-code},
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+ year = {2026}
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+ }
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+ ```