upiter/d3

D3: Diverse Data for Diff-by-Diff Coding (Python) D3 is a large-scale dataset of instruction + file-state + diff-sequence trajectories for training LMs to synthesize and edit Python code diff-by-diff. Each trajectory pairs a natural-language goal with the initial contents of a source file and an ordered sequence of atomic file diffs that realize the goal. Release format (SWE-Bench–style sharded parquet) Each row has the following fields: prompt — the initial source… See the full description on the dataset page: https://huggingface.co/datasets/upiter/d3.

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