| license: mit | |
| dataset_info: | |
| - config_name: goal | |
| features: | |
| - name: video-id | |
| dtype: string | |
| - name: fold-ind | |
| dtype: int64 | |
| - name: startphrase | |
| dtype: string | |
| - name: sent1 | |
| dtype: string | |
| - name: sent2 | |
| dtype: string | |
| - name: gold-source | |
| dtype: string | |
| - name: ending0 | |
| dtype: string | |
| - name: ending1 | |
| dtype: string | |
| - name: ending2 | |
| dtype: string | |
| - name: ending3 | |
| dtype: string | |
| - name: label | |
| dtype: int64 | |
| splits: | |
| - name: train | |
| num_bytes: 40483414 | |
| num_examples: 185231 | |
| - name: test | |
| num_bytes: 398554 | |
| num_examples: 1703 | |
| download_size: 24371642 | |
| dataset_size: 40881968 | |
| - config_name: order | |
| features: | |
| - name: video-id | |
| dtype: string | |
| - name: fold-ind | |
| dtype: int64 | |
| - name: startphrase | |
| dtype: string | |
| - name: sent1 | |
| dtype: string | |
| - name: sent2 | |
| dtype: string | |
| - name: gold-source | |
| dtype: string | |
| - name: ending0 | |
| dtype: string | |
| - name: ending1 | |
| dtype: string | |
| - name: label | |
| dtype: int64 | |
| splits: | |
| - name: train | |
| num_bytes: 161457398 | |
| num_examples: 836128 | |
| - name: test | |
| num_bytes: 535305 | |
| num_examples: 3100 | |
| download_size: 0 | |
| dataset_size: 161992703 | |
| - config_name: step | |
| features: | |
| - name: video-id | |
| dtype: string | |
| - name: fold-ind | |
| dtype: int64 | |
| - name: startphrase | |
| dtype: string | |
| - name: sent1 | |
| dtype: string | |
| - name: sent2 | |
| dtype: string | |
| - name: gold-source | |
| dtype: string | |
| - name: ending0 | |
| dtype: string | |
| - name: ending1 | |
| dtype: string | |
| - name: ending2 | |
| dtype: string | |
| - name: ending3 | |
| dtype: string | |
| - name: label | |
| dtype: int64 | |
| splits: | |
| - name: train | |
| num_bytes: 117840509 | |
| num_examples: 374278 | |
| - name: test | |
| num_bytes: 640583 | |
| num_examples: 2250 | |
| download_size: 76438559 | |
| dataset_size: 118481092 | |
| configs: | |
| - config_name: goal | |
| data_files: | |
| - split: train | |
| path: goal/train-* | |
| - split: test | |
| path: goal/test-* | |
| - config_name: order | |
| data_files: | |
| - split: train | |
| path: order/train-* | |
| - split: test | |
| path: order/test-* | |
| - config_name: step | |
| data_files: | |
| - split: train | |
| path: step/train-* | |
| - split: test | |
| path: step/test-* | |
| https://github.com/zharry29/wikihow-goal-step | |
| ``` | |
| @inproceedings{zhang-etal-2020-reasoning, | |
| title = "Reasoning about Goals, Steps, and Temporal Ordering with {W}iki{H}ow", | |
| author = "Zhang, Li and | |
| Lyu, Qing and | |
| Callison-Burch, Chris", | |
| booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)", | |
| month = nov, | |
| year = "2020", | |
| address = "Online", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://www.aclweb.org/anthology/2020.emnlp-main.374", | |
| pages = "4630--4639", | |
| } | |
| ``` |