google-research-datasets/aquamuse
Dataset Card for AQuaMuSe Dataset Summary AQuaMuSe is a novel scalable approach to automatically mine dual query based multi-document summarization datasets for extractive and abstractive summaries using question answering dataset (Google Natural Questions) and large document corpora (Common Crawl) This dataset contains versions of automatically generated datasets for abstractive and extractive query-based multi-document summarization as described in AQuaMuSe… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/aquamuse.
Convert dataset to Parquet (#2)
Reorder split names (#1)
add dataset_info in dataset metadata
remove dummmy data
fix task_ids
Align more metadata with other repo types (models,spaces) (#4607)
Update datasets task tags to align tags with models (#4067)
Update files from the datasets library (from 1.18.0)
Update files from the datasets library (from 1.7.0)
Update files from the datasets library (from 1.6.1)
Update files from the datasets library (from 1.6.0)
Update files from the datasets library (from 1.5.0)
Update files from the datasets library (from 1.3.0)
Update files from the datasets library (from 1.2.0)