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: 47919020 | |
num_examples: 185231 | |
- name: test | |
num_bytes: 398512 | |
num_examples: 1703 | |
download_size: 30309018 | |
dataset_size: 48317532 | |
- 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", | |
} | |
``` |