Bocklitz-Lab/lit2vec-tldr-bart-dataset

Lit2Vec TL;DR Chemistry Dataset Summary The Lit2Vec TL;DR Chemistry Dataset is a curated collection of 19,992 chemistry research abstracts paired with short, TL;DR-style abstractive summaries.It was created to support research in scientific text summarization, semantic indexing, and domain-specific knowledge graph construction. Unlike generic summarization datasets, this corpus is: Legally reusable → all abstracts are sourced from CC-BY licensed publications… See the full description on the dataset page: https://huggingface.co/datasets/Bocklitz-Lab/lit2vec-tldr-bart-dataset.