Datasets › LCStep

LCStep

Introduced by K Roth et al. in Pairing Analogy-Augmented Generation with Procedural Memory for Procedural Q&A2 Sep 2024 archive 2025-07-28

For our experiments, we collected a dataset of procedural knowledge of the LangChain Python library, unseen by many extant LLMs. We selected LangChain as the domain for our dataset because it was published in 2022, which is later than the knowledge cutoff date for many web-scale LLMs, including GPT-3.5, while also having plenty of documentation due to its popularity.

The LCStep dataset was collected from 180 tutorial pages in the Python section of the LangChain website. We used an LLM-enabled pipeline with human oversight and quality review to extract 276 procedures from these tutorials, representing each procedure in a format structure.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • LCStep

1 variant name, as the archive lists them.

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