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@@ -17,3 +17,8 @@ configs:
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  - split: train
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  path: data/train-*
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  ---
 
 
 
 
 
 
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  - split: train
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  path: data/train-*
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  ---
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+ This dataset contains 10000 random snippets of 5-15 lines parsed from [`bigcode/starcoderdata`](https://huggingface.co/datasets/bigcode/starcoderdata).
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+ Specifically, I consider 10 languages: Haskell, Python, cpp, java, typescript, shell, csharp, rust, php, and swift. And, I collect 1000 documents for each language, and then extract 5-15 random lines from the document to create this dataset.
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+ See MagiCoder and their [seed collection](https://github.com/ise-uiuc/magicoder/blob/main/experiments/collect_seed_documents.py#L35) process. In my usecase, I needed some inspiration documents for generating synthetic datasets.