HF RL Explorer

Task: Efficient Cosine Similarity Calculation for Sparse Matrices

Task: Efficient Cosine Similarity Calculation for Sparse Matrices: a task in Terminal-Lego-15k (Harbor dataset). Implement a Python solution that efficiently calculates cosine similarity between all rows of a sparse matrix. The solution should accept sparse matrix data (in COO format: row, column…

The task

Implement a Python solution that efficiently calculates cosine similarity between all rows of a sparse matrix. The solution should accept sparse matrix data (in COO format: row, column pairs) and output the pairwise cosine similarity matrix.

Part of PrimeIntellect/Terminal-Lego-15k.