| # DROP | |
| ### Paper | |
| Title: `DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs` | |
| Abstract: https://aclanthology.org/attachments/N19-1246.Supplementary.pdf | |
| DROP is a QA dataset which tests comprehensive understanding of paragraphs. In | |
| this crowdsourced, adversarially-created, 96k question-answering benchmark, a | |
| system must resolve multiple references in a question, map them onto a paragraph, | |
| and perform discrete operations over them (such as addition, counting, or sorting). | |
| Homepage: https://allenai.org/data/drop | |
| Acknowledgement: This implementation is based on the official evaluation for `DROP`: | |
| https://github.com/allenai/allennlp-reading-comprehension/blob/master/allennlp_rc/eval/drop_eval.py | |
| ### Citation | |
| ``` | |
| @misc{dua2019drop, | |
| title={DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs}, | |
| author={Dheeru Dua and Yizhong Wang and Pradeep Dasigi and Gabriel Stanovsky and Sameer Singh and Matt Gardner}, | |
| year={2019}, | |
| eprint={1903.00161}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| ``` | |
| ### Groups and Tasks | |
| #### Groups | |
| * Not part of a group yet. | |
| #### Tasks | |
| * `drop` | |
| ### Checklist | |
| For adding novel benchmarks/datasets to the library: | |
| * [ ] Is the task an existing benchmark in the literature? | |
| * [ ] Have you referenced the original paper that introduced the task? | |
| * [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test? | |
| If other tasks on this dataset are already supported: | |
| * [ ] Is the "Main" variant of this task clearly denoted? | |
| * [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates? | |
| * [ ] Have you noted which, if any, published evaluation setups are matched by this variant? | |