allenai/wcep_sparse_mean
收藏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dataset, except the input source documents of its `test` split have been replaced by a __sparse__ retriever.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



