Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
parquet
Sub-tasks:
news-articles-summarization
Languages:
English
Size:
10K - 100K
License:
johngiorgi
commited on
Commit
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0d22e83
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Parent(s):
8c9e2e3
Add description about retrieval process
Browse files
README.md
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This is a copy of the [Multi-News](https://huggingface.co/datasets/multi_news) dataset, with its input source documents replaced by a __sparse__ retriever. The retrieval pipeline used:
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- __query__: The `summary` field of each example
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- __corpus__: The union of all documents in the `train`, `validation` and `test` sets`
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- __retriever__: BM25 via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings _except_ for no stemming was applied.
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Retrieval results on the `test` set:
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|ndcg | recall@100 | recall@1000 | Rprec |
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| ----------- | ----------- | ----------- | ----------- |
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|0.8222 | 0.8242 | 0.8492 | 0.7233 |
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