At first glance, the benchmarks and their construction looked good (i.e. no cheating) and are much faster than working with UMAP in Python. To further test, I asked the agents to implement additional different useful machine learning algorithms such as HDBSCAN as individual projects, with each repo starting with this 8 prompt plan in sequence:
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重庆市奉节县，一座山水相依的小城。春节前夕，多次来华旅游的英国人詹姆斯从重庆市区乘高铁来到这里，“不到两个小时就能直达，出行很轻松。听说大名鼎鼎的三峡中的瞿塘峡就在这里，我早就想来看看这座宝藏小城。”