|
--- |
|
annotations_creators: |
|
- found |
|
language_creators: |
|
- found |
|
language: |
|
- en |
|
license: |
|
- unknown |
|
multilinguality: |
|
- monolingual |
|
size_categories: |
|
- 10K<n<100K |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- summarization |
|
task_ids: [] |
|
paperswithcode_id: multi-xscience |
|
pretty_name: Multi-XScience |
|
tags: |
|
- paper-abstract-generation |
|
--- |
|
|
|
This is a copy of the [Multi-XScience](https://huggingface.co/datasets/multi_x_science_sum) dataset, except the input source documents of its `test` split have been replaced by a __sparse__ retriever. The retrieval pipeline used: |
|
|
|
- __query__: The `related_work` 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__: `"oracle"`, i.e. the number of documents retrieved, `k`, is set as the original number of input documents for each example |
|
|
|
Retrieval results on the `test` set: |
|
|
|
|ndcg | recall@100 | recall@1000 | Rprec | |
|
| ----------- | ----------- | ----------- | ----------- | |
|
| 0.2327 | 0.2999 | 0.3829 | 0.1452 | |
