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hate-speech-project reviews and mentions
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Replit's new Code LLM was trained in 1 week
My favorite line from the HumanEval paper
> It is important for these tasks to be hand-written, since our models are trained on a large fraction of GitHub, which already contains solutions to problems from a variety of sources.
So to answer your question, yes, the evaluation dataset is spoiled. You can find such unique and never before seen docstrings like
> For a given list of input numbers calculate the Mean Absolute Deviation around the mean of this dataset. Mean Absolute Deviation is the absolute difference between each element and a centerpoint (mean in this case)[0]
And here's a repo I found that is 8 years old[1]. But how about a more recent one that is even closer?[2] There's plenty more examples[3] (does anyone know how actually limit the date to prior to 2021? `pushed:<2021` doesn't work nor does using the `created` keyword. Date searching doesn't seem to work well).
[0] https://github.com/openai/code-align-evals-data/blob/97446d9...
[1] https://github.com/bertomartin/stat4701/blob/ec2b64f629cbbf6...
[2] https://github.com/danielwatson6/hate-speech-project/blob/64...
[3] https://github.com/search?q=abs%28x+-+mean%29+for+language%3...
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