Omkar2118/datasets huggingface dataset:
SumIPCC

The dataset contains 140 paragraphs from climate change reports with associated aspect-based (i.e. query-focused) summaries, that were produced by experts especially for policy-makers.

The dataset's format is the one required by Hugginface's datasets library () and it can be loaded by looking at the available examples. The dataset consists of three possible configurations: "AR6" to download just the latest climate change report (70 paragraph/summaries), "AR5" to download just the first climate change report (70 paragraph/summaries) or "ALL" to download both (140 paragraph/summaries). 

The available features in the dataset are:
"full_paragraphs": Full paragraphs to summarise,
 "summary": The current  query-focused ground truth summary,
                        "summary_topic": The topic of on which the current summary is focusing on,
                        "paragraph_topic": The macro-topic of the paragraph(s),
                        "section_topic": The high-level topic of the section from which the current summary originate,
                        "source": The source document (AR5/AR6),
                        "paragraph_ids": The id(s) of the current paragraph(s),
                        "paragraph_titles": The titles of each of the summarised paragraphs,
                        "ID": The row ID

All values above are strings. Please notice that each ground truth summary might refer to one or more target paragraphs from the target document, as the summaries transverse the reports according to specific topics (which is indicated in each case by the summary_topic variable). To better understand the format of this dataset the original IPCC reports and the accompanying summary for policymakers from which the ground truth summaries are taken can be consulted at: https://www.ipcc.ch/

Introducing paper: Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models