ronitHF/pubmed-10k-8.1.1

--- task_categories: - summarization pretty_name: PubMed 10k (8:1:1) size_categories: - 1K<n<10K --- ### Dataset Summary First 10k rows of the scientific_papers["pubmed"] dataset. 8:1:1 split (10000:1250:1250). ### Usage ``` from datasets import load_dataset train_dataset = load_dataset("ronitHF/pubmed-10k-8.1.1", split="train") val_dataset = load_dataset("ronitHF/pubmed-10k-8.1.1", split="validation") test_dataset = load_dataset("ronitHF/pubmed-10k-8.1.1", split="test") ```

原始信息汇总

数据集概述

数据集名称

• PubMed 10k (8:1:1)

任务类别

• 摘要生成

数据集大小

• 1K<n<10K

数据集摘要

• 包含科学论文数据集 "pubmed" 的前 10,000 行数据，采用 8:1:1 分割（10,000:1,250:1,250）。

使用方法

python from datasets import load_dataset

train_dataset = load_dataset("ronitHF/pubmed-10k-8.1.1", split="train") val_dataset = load_dataset("ronitHF/pubmed-10k-8.1.1", split="validation") test_dataset = load_dataset("ronitHF/pubmed-10k-8.1.1", split="test")