pythonformer/Trajectory-Stitching-Test-7M

Dataset Creation & Methodology Building this dataset required a highly optimized pipeline running on a dual-H100 NVL GPU cluster. The stitching process operates autonomously without relying on external LLM calls, using a specialized two-pass algorithm. 1. High-Information Keyword Extraction Instead of relying on simple word counts, the pipeline dynamically builds a dataset-specific stopword list by analyzing Document Frequency (DF) to banish words appearing in more than… See the full description on the dataset page: https://huggingface.co/datasets/pythonformer/Trajectory-Stitching-Test-7M.

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