| # LAMBADA | |
| ### Paper | |
| Title: `The LAMBADA dataset: Word prediction requiring a broad discourse context` | |
| Abstract: https://arxiv.org/pdf/1606.06031.pdf | |
| LAMBADA is a dataset to evaluate the capabilities of computational models for text | |
| understanding by means of a word prediction task. LAMBADA is a collection of narrative | |
| passages sharing the characteristic that human subjects are able to guess their last | |
| word if they are exposed to the whole passage, but not if they only see the last | |
| sentence preceding the target word. To succeed on LAMBADA, computational models | |
| cannot simply rely on local context, but must be able to keep track of information | |
| in the broader discourse. | |
| Homepage: https://zenodo.org/record/2630551#.X4Xzn5NKjUI | |
| ### Groups and Tasks | |
| #### Groups | |
| - `lambada` | |
| #### Tasks | |
| - `lambada_openai` | |
| - `lambada_standard` | |
| ### Citation | |
| @misc{ | |
| author={Paperno, Denis and Kruszewski, Germán and Lazaridou, Angeliki and Pham, Quan Ngoc and Bernardi, Raffaella and Pezzelle, Sandro and Baroni, Marco and Boleda, Gemma and Fernández, Raquel}, | |
| title={The LAMBADA dataset}, | |
| DOI={10.5281/zenodo.2630551}, | |
| publisher={Zenodo}, | |
| year={2016}, | |
| month={Aug} | |
| } | |