This dataset was used in the paper 'Template-based Abstractive Microblog Opinion Summarisation' (to be published at TACL, 2022). The data is structured as follows: each file represents a cluster of tweets which contains the tweet IDs and a summary of the tweets written by journalists. The gold standard summary follows a template structure and depending on its opinion content, it contains a main story, majority opinion (if any) and/or minority opinions (if any). Additionally, we will include the abstractive model baselines we have used in the paper.For ease of use, we distinguish between opinionated/non-opinionated and training/testing/agreement sets.Due to the recent changes in the availability of the Twitter / X academic API, please reach out to iman.bilal@warwick.ac.uk if you consider using the dataset.License: The annotations are provided under a CC-BY license, while Twitter retains the ownership and rights of the content of the tweets.

Series of Incident data and summary statistics reports produced which provide statistical information on incidents by type, year, geographical location, and others. The data provided is that from the Hazardous Materials Incident Report Form 5800.1

Mining: Subject Series: Materials Summary: Selected Supplies, Minerals Received for Preparation, Purchased Machinery, and Fuels Consumed by Type of Industry: 2012.

The dataset is intended for summarizing texts that can be used in extractive or abstractive approaches. This data is from year 2018-2022 and has three categories attraction, hotel, and restaurant. Each category consists of 100 different objects, resulting in a total of 300 objects across all categories. Each object has 5 reviews and 1 ground truth. The ground truth is a summary reference created by 3 experts, with 2 individuals holding bachelor's degrees in Indonesian Language and Literature Education and having worked as teachers for more than 2 years. The remaining person holds a bachelor's degree in Indonesian Literature and has 2 years of experience as an NLP annotator. Each category folder, such as the 'attraction' folder, contains 4 subfolders, each of which holds 25 objects.

Series of Incident data and summary statistics reports produced which provide statistical information on incidents by type, year, geographical location, and others. The data provided is that from the Hazardous Materials Incident Report Form 5800.1

Summary of ANOVA results among the time points within the clusters.

Summary of ANOVA results among the age distribution within the clusters.

Summary for length of stay of the hospitalized patients.

Autism spectrum disorder (ASD) is characterized by highly heterogenous abnormalities in functional brain connectivity affecting social behavior. There is a significant progress in understanding the molecular and genetic basis of ASD in the last decade using multi-omics approach. Mining this large volume of biomedical literature for insights requires considerable amount of manual intervention for curation. Machine learning and artificial intelligence fields are advancing toward simplifying data mining from unstructured text data. Here, we demonstrate our literature mining pipeline to accelerate data to insights. Using topic modeling and generative AI techniques, we present a pipeline that can classify scientific literature into thematic clusters and can help in a wide array of applications such as knowledgebase creation, conversational virtual assistant, and summarization. Employing our pipeline, we explored the ASD literature, specifically around multi-omics studies to understand the molecular interplay underlying autism brain.

Blockchain data query: Stacks miners summary

Blockchain data query: Stacks PoX miners summary

Summary of data sources for cropping events.

Core hours (c×h) are estimated based on the actual computational time of self-consistency calculations followed by density of states and band structure calculations on a single-core Intel Xeon 2.2 GHz assuming complexity of the DFT algorithm.

Summary of the variability observed among all cropping events between 2007 and 2014 in each site.

A summary of related hashtags (top group) and related place mentions (bottom group) identified with each particular meta-path.

aFiltering for tRNA, rRNA, low-complexity sequence and trimming for “N” bases and 3′ adapters.bConserved miRNA deposited at miRBase database identified by miRProf pipeline.

Agreement summary between corresponding GOcats and UniProt CV subgraphs.

Agreement summary between corresponding GOcats and Map2Slim subgraphs.