wayne0019/autotrain-data-lwf-summarization

该数据集由AutoTrain自动处理，用于项目lwf-summarization。数据集的语言为中文，任务类别为摘要生成。数据集包含对话文本及其对应的摘要，字段包括feat_id、target和text。数据集被划分为训练集和验证集，分别包含655和164个样本。

原始信息汇总

AutoTrain Dataset for project: lwf-summarization

Dataset Description

• Languages: The dataset is in Chinese (BCP-47 code: zh).
• Task Categories: The dataset is designed for summarization tasks.

Dataset Structure

Data Instances

• Sample Instance: json { "feat_id": "13716782", "target": "The scariest place for Jessica was the Capuchin Catacombs in Palermo.", "text": "Kelly: Oh! Oh! Can I pick the first question? Jessica: Sure. Go for it! Kelly: Whats the scariest place youve been to! Jessica: Ill start: Palermo in Italy. Mickey: And whats so scary about that? Did you break your nail? :P Jessica: Shut it, Mickey! No, there are the Capuchin Catacombs with 8000 corpses! Kelly: Ewwww! Corpses? Rly? Jessica: Yeah! And you can look at them like museum exhibits. I think theyre divided somehow, but have no clue how! Ollie: Thats so cool! Do you get to see the bones or are they covered up? Jessica: Well, partly. Most of them were exhibited in their clothes. Basically only skulls and hands. Mickey: Im writing this one down! Thats so precious! Ollie: Me too!" }

Dataset Fields

• Fields:
  • feat_id: String identifier for the feature.
  • target: String containing the summary or target information.
  • text: String containing the original text.

Dataset Splits

• Splits:
  • Train: 655 samples.
  • Validation: 164 samples.