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TalTechNLP/LongSumEt

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Hugging Face2024-04-22 更新2024-03-04 收录
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资源简介:
--- annotations_creators: - machine-generated language: - et license: cc-by-4.0 multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - summarization pretty_name: LongSumEt dataset_info: features: - name: text dtype: string - name: long_summary dtype: string - name: short_summary dtype: string - name: bulletpoints dtype: string - name: timestamp dtype: string - name: url dtype: string - name: source dtype: string splits: - name: train num_bytes: 85384791 num_examples: 8656 - name: test num_bytes: 4819298 num_examples: 481 - name: validation num_bytes: 4715166 num_examples: 481 download_size: 61950277 dataset_size: 94919255 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* --- # Dataset Card for "LongSumEt" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) - ## Dataset Description - **Homepage:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Paper:** https://www.bjmc.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/10_3_23_Harm.pdf - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Dataset Summary LongSumEt is an estonian language long summarization dataset with pages filtered from CulturaX dataset. The dataset consists of the page text, and machine generated short summary, long summary and bulletpoints. ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages Estonian ## Dataset Structure ### Data Instances [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Data Fields [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Data Splits |train|test|valid| |:----|:----|:----| |8656|481|481| ### BibTeX entry and citation info ```bibtex article{henryabstractive, title={Abstractive Summarization of Broadcast News Stories for {Estonian}}, author={Henry, H{\"a}rm and Tanel, Alum{\"a}e}, journal={Baltic J. Modern Computing}, volume={10}, number={3}, pages={511-524}, year={2022} } ```
提供机构:
TalTechNLP
原始信息汇总

数据集卡片 for "LongSumEt"

数据集描述

数据集摘要

LongSumEt 是一个爱沙尼亚语的长摘要数据集,从 CulturaX 数据集中筛选页面而成。该数据集包含页面文本、机器生成的短摘要、长摘要和要点。

支持的任务和排行榜

更多信息需要

语言

爱沙尼亚语

数据集结构

数据实例

更多信息需要

数据字段

更多信息需要

数据拆分

训练集 测试集 验证集
8656 481 481

BibTeX 条目和引用信息

bibtex @article{henryabstractive, title={Abstractive Summarization of Broadcast News Stories for {Estonian}}, author={Henry, H{"a}rm and Tanel, Alum{"a}e}, journal={Baltic J. Modern Computing}, volume={10}, number={3}, pages={511-524}, year={2022} }

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