| | --- |
| | language: |
| | - en |
| | multilinguality: |
| | - monolingual |
| | size_categories: |
| | - 1K<n<10K |
| | task_categories: |
| | - conditional-text-generation |
| | task_ids: |
| | - summarization |
| | --- |
| | |
| | # WCEP10 dataset for summarization |
| |
|
| | Summarization dataset copied from [PRIMERA](https://github.com/allenai/PRIMER) |
| |
|
| | This dataset is compatible with the [`run_summarization.py`](https://github.com/huggingface/transformers/tree/master/examples/pytorch/summarization) script from Transformers if you add this line to the `summarization_name_mapping` variable: |
| | ```python |
| | "ccdv/WCEP-10": ("document", "summary") |
| | ``` |
| |
|
| | # Configs |
| | 4 possibles configs: |
| | - `roberta` will concatenate documents with "\</s\>" (default) |
| | - `newline` will concatenate documents with "\n" |
| | - `bert` will concatenate documents with "[SEP]" |
| | - `list` will return the list of documents instead of a string |
| |
|
| | ### Data Fields |
| |
|
| | - `id`: paper id |
| | - `document`: a string/list containing the body of a set of documents |
| | - `summary`: a string containing the abstract of the set |
| |
|
| | ### Data Splits |
| |
|
| | This dataset has 3 splits: _train_, _validation_, and _test_. \ |
| |
|
| | | Dataset Split | Number of Instances | |
| | | ------------- | --------------------| |
| | | Train | 8158 | |
| | | Validation | 1020 | |
| | | Test | 1022 | |
| |
|
| |
|
| | # Cite original article |
| | ``` |
| | @article{DBLP:journals/corr/abs-2005-10070, |
| | author = {Demian Gholipour Ghalandari and |
| | Chris Hokamp and |
| | Nghia The Pham and |
| | John Glover and |
| | Georgiana Ifrim}, |
| | title = {A Large-Scale Multi-Document Summarization Dataset from the Wikipedia |
| | Current Events Portal}, |
| | journal = {CoRR}, |
| | volume = {abs/2005.10070}, |
| | year = {2020}, |
| | url = {https://arxiv.org/abs/2005.10070}, |
| | eprinttype = {arXiv}, |
| | eprint = {2005.10070}, |
| | timestamp = {Fri, 22 May 2020 16:21:28 +0200}, |
| | biburl = {https://dblp.org/rec/journals/corr/abs-2005-10070.bib}, |
| | bibsource = {dblp computer science bibliography, https://dblp.org} |
| | } |
| | |
| | @article{DBLP:journals/corr/abs-2110-08499, |
| | author = {Wen Xiao and |
| | Iz Beltagy and |
| | Giuseppe Carenini and |
| | Arman Cohan}, |
| | title = {{PRIMER:} Pyramid-based Masked Sentence Pre-training for Multi-document |
| | Summarization}, |
| | journal = {CoRR}, |
| | volume = {abs/2110.08499}, |
| | year = {2021}, |
| | url = {https://arxiv.org/abs/2110.08499}, |
| | eprinttype = {arXiv}, |
| | eprint = {2110.08499}, |
| | timestamp = {Fri, 22 Oct 2021 13:33:09 +0200}, |
| | biburl = {https://dblp.org/rec/journals/corr/abs-2110-08499.bib}, |
| | bibsource = {dblp computer science bibliography, https://dblp.org} |
| | } |
| | ``` |
