Summary
Datasets
All datasets matching “Summary”news-summary
Dataset Card for "news-summary"
Dataset Summary
Officially it was supposed to be used for classification but, can you use this data set to summarize news articles?
Languages
english
Citation Information
Acknowledgements
Ahmed H, Traore I, Saad S. “Detecting opinion spams and fake news using text classification”, Journal of Security and Privacy, Volume 1, Issue 1, Wiley, January/February 2018.
Ahmed H, Traore I, Saad S. (2017) “Detection of Online… See the full description on the dataset page: https://huggingface.co/datasets/argilla/news-summary.hf_paper_summary
Paper Espresso Dataset
This dataset repository contains structured metadata, summaries, and topical analysis for trending AI research papers, as presented in the paper Paper Espresso: From Paper Overload to Research Insight.
Paper Espresso is an open-source platform designed to automatically discover, summarize, and analyze trending research papers from arXiv. The system uses large language models (LLMs) to generate structured summaries, topical labels, and keywords. Over 35… See the full description on the dataset page: https://huggingface.co/datasets/Elfsong/hf_paper_summary.asta-summary-citation-counts
Dataset Summary
This dataset tracks which scientific papers are most often cited by Asta, an agentic research platform that uses retrieval-augmented generation (RAG) to answer scientific questions. Each record is a paper cited by Asta's Summarize Literature tool, ranked by the number of times the system cited that paper. Across more than 113,000 user queries, we track 4M citations to over 2M distinct papers. By making this data public, we aim to create a transparent, trackable… See the full description on the dataset page: https://huggingface.co/datasets/allenai/asta-summary-citation-counts.medical-dialogue-to-soap-summary
Dataset Card for Synthetic Medical Dialogues and SOAP Summaries
Dataset Description
Abstract
This dataset consists of 10,000 synthetic dialogues between a patient and clinician, created using the GPT-4 dataset from NoteChat, based on PubMed Central (PMC) case-reports. Accompanying these dialogues are SOAP summaries generated through GPT-4. The dataset is split into 9250 training, 500 validation, and 250 test entries, each containing a dialogue column, a SOAP… See the full description on the dataset page: https://huggingface.co/datasets/omi-health/medical-dialogue-to-soap-summary.rtpurbo-block-summary-failed-experiment-artifacts
RTPurbo block-summary failed experiment artifacts
Immutable research artifacts from the entropy-calibrated 64-token block-summary investigation for RTPurbo/Qwen3.5-0.8B.
The tested static tangent and CAMS geometries failed the registered selector fidelity/traffic gate. This repository preserves the reusable feature/teacher caches, schedules, checkpoints, controls, scoreboards, and diagnostic evidence needed to reproduce or revisit that conclusion. It is an experiment archive… See the full description on the dataset page: https://huggingface.co/datasets/danym/rtpurbo-block-summary-failed-experiment-artifacts.pn_summaryA well-structured summarization dataset for the Persian language consists of 93,207 records. It is prepared for Abstractive/Extractive tasks (like cnn_dailymail for English). It can also be used in other scopes like Text Generation, Title Generation, and News Category Classification.
It is imperative to consider that the newlines were replaced with the `[n]` symbol. Please interpret them into normal newlines (for ex. `t.replace("[n]", "\n")`) and then use them for your purposes.