abstractive summarization
research_abstractive_clinical_notes_summarizations-i1-GGUFresearch_abstractive_clinical_notes_summarizations-GGUFbertabs-finetuned-extractive-abstractive-summarizationresearch_abstractive_clinical_notes_summarizationsmbert2mbert-arabic-text-summarization-finetuned-xsum_arabic_abstractive_final_finalnbertabs-finetuned-cnndm-extractive-abstractive-summarizationbertabs-finetuned-xsum-extractive-abstractive-summarizationmbart-large-cc25-arabic-abstractive-summarization
NLG-Abstractive-Summarization
SEA Abstractive Summarization
SEA Abstractive Summarization evaluates a model's ability to read a document, identify the key points within, and summarize them into a coherent and fluent text while paraphrasing the document. It is sampled from XL-Sum for Indonesian, Tamil, Thai, and Vietnamese.
Supported Tasks and Leaderboards
SEA Abstractive Summarization is designed for evaluating chat or instruction-tuned large language models (LLMs). It is part of the SEA-HELM… See the full description on the dataset page: https://huggingface.co/datasets/aisingapore/NLG-Abstractive-Summarization.mixtral-malaysian-abstractive-summarization
Mixtral Malaysian Abstractive Summarization
Use https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1 to generate abstractive summarization on Malaysian dataset, notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/summarization/mixtral
Example data
{'source': 'gamerbraves.com.jsonl',
'text': 'Hunter x Hunter USJ Collaboration Announced\n\n\nUniversal Studios Japan ( USJ ) has announced a collaboration with popular Shonen anime Hunter x… See the full description on the dataset page: https://huggingface.co/datasets/mesolitica/mixtral-malaysian-abstractive-summarization.vi-abstractive-summarization-law_news-domainAbstract Summarization Dataset in Legal News Domain
Description
This dataset contains abstract summarizations generated from legal news articles. The data is collected from three different sources: haianh_jobs-Lao Động newspaper, ViMs and VNDS.
InstruCAT-abstractive_summarizationsemisupervised-abstractive-summarization-ms-newsresearch_abstractive_clinical_notes_summarizations
