| # LAMBADA Cloze | |
| ### Paper | |
| Title: `The LAMBADA dataset: Word prediction requiring a broad discourse context` | |
| Abstract: https://arxiv.org/abs/1606.06031 | |
| Cloze-style LAMBADA dataset. | |
| 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 | |
| ### 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} | |
| } | |
| ``` | |
| ### Groups and Tasks | |
| #### Groups | |
| * `lambada_cloze` | |
| #### Tasks | |
| * `lambada_openai_cloze_yaml` | |
| * `lambada_standard_cloze_yaml` | |
| ### 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? | |