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allenai/wcep_sparse_mean

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Hugging Face2022-11-24 更新2024-03-04 收录
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https://hf-mirror.com/datasets/allenai/wcep_sparse_mean
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资源简介:
--- annotations_creators: - expert-generated language_creators: - expert-generated language: - en license: - other multilinguality: - monolingual pretty_name: WCEP-10 size_categories: - 1K<n<10K source_datasets: - original task_categories: - summarization task_ids: - news-articles-summarization paperswithcode_id: wcep train-eval-index: - config: default task: summarization task_id: summarization splits: train_split: train eval_split: test col_mapping: document: text summary: target metrics: - type: rouge name: Rouge --- This is a copy of the [WCEP-10](https://huggingface.co/datasets/ccdv/WCEP-10) dataset, except the input source documents of its `test` split have been replaced by a __sparse__ retriever. The retrieval pipeline used: - __query__: The `summary` field of each example - __corpus__: The union of all documents in the `train`, `validation` and `test` splits - __retriever__: BM25 via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings - __top-k strategy__: `"mean"`, i.e. the number of documents retrieved, `k`, is set as the mean number of documents seen across examples in this dataset, in this case `k==9` Retrieval results on the `train` set: | Recall@100 | Rprec | Precision@k | Recall@k | | ----------- | ----------- | ----------- | ----------- | | 0.8753 | 0.6443 | 0.6196 | 0.6237 | Retrieval results on the `validation` set: | Recall@100 | Rprec | Precision@k | Recall@k | | ----------- | ----------- | ----------- | ----------- | | 0.8706 | 0.6280 | 0.6260 | 0.5989 | Retrieval results on the `test` set: | Recall@100 | Rprec | Precision@k | Recall@k | | ----------- | ----------- | ----------- | ----------- | | 0.8836 | 0.6658 | 0.6601 | 0.6388 |
提供机构:
allenai
原始信息汇总

数据集概述

基本信息

  • 名称: WCEP-10
  • 语言: 英语 (en)
  • 许可证: 其他 (other)
  • 多语言性: 单语 (monolingual)
  • 大小: 1K<n<10K
  • 来源: 原始数据集 (original)

任务与结构

  • 任务类别: 摘要生成 (summarization)
  • 任务ID: news-articles-summarization
  • 训练与评估配置:
    • 配置: default
    • 任务: summarization
    • 任务ID: summarization
    • 分割:
      • 训练分割: train
      • 评估分割: test
    • 列映射:
      • 文档: text
      • 摘要: target
    • 评估指标:
      • 类型: rouge
      • 名称: Rouge
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