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ccdv/govreport-summarization

GovReport dataset for summarization Dataset for summarization of long documents.Adapted from this repo and this paperThis dataset is compatible with the run_summarization.py script from Transformers if you add this line to the summarization_name_mapping variable: "ccdv/govreport-summarization": ("report", "summary") Data Fields id: paper id report: a string containing the body of the report summary: a string containing the summary of the report Data… See the full description on the dataset page: https://huggingface.co/datasets/ccdv/govreport-summarization.

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Dataset Card

GovReport dataset for summarization

Dataset for summarization of long documents.\ Adapted from this repo and this paper\ This dataset is compatible with the `run_summarization.py` script from Transformers if you add this line to the summarization_name_mapping variable:

python

"ccdv/govreport-summarization": ("report", "summary")

Data Fields

—id: paper id
—report: a string containing the body of the report
—summary: a string containing the summary of the report

Data Splits

This dataset has 3 splits: train, validation, and test. \ Token counts with a RoBERTa tokenizer.

Dataset Split	Number of Instances	Avg. tokens
Train	17,517	< 9,000 / < 500
Validation	973	< 9,000 / < 500
Test	973	< 9,000 / < 500

Cite original article

@misc{huang2021efficient,
      title={Efficient Attentions for Long Document Summarization}, 
      author={Luyang Huang and Shuyang Cao and Nikolaus Parulian and Heng Ji and Lu Wang},
      year={2021},
      eprint={2104.02112},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
    }