Datasets:

google-research-datasets
/

time_dial

- {"default": {"description": "TimeDial presents a crowdsourced English challenge set, for temporal commonsense reasoning, formulated\nas a multiple choice cloze task with around 1.5k carefully curated dialogs. The dataset is derived from\nthe DailyDialog (Li et al., 2017), which is a multi-turn dialog corpus.\n\nIn order to establish strong baselines and provide information on future model development, we\nconducted extensive experiments with state-of-the-art LMs. While humans can easily answer these\nquestions (97.8%), the best T5 model variant struggles on this challenge set (73%). Moreover, our\nqualitative error analyses show that the models often rely on shallow, spurious features (particularly text\nmatching), instead of truly doing reasoning over the context.\n", "citation": "@inproceedings{qin-etal-2021-timedial,\n title = \"{TimeDial: Temporal Commonsense Reasoning in Dialog}\",\n author = \"Qin, Lianhui and Gupta, Aditya and Upadhyay, Shyam and He, Luheng and Choi, Yejin and Faruqui, Manaal\",\n booktitle = \"Proc. of ACL\",\n year = \"2021\"\n}\n", "homepage": "https://github.com/google-research-datasets/timedial", "license": "TimeDial dataset is licensed under CC BY-NC-SA 4.0", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "conversation": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "correct1": {"dtype": "string", "id": null, "_type": "Value"}, "correct2": {"dtype": "string", "id": null, "_type": "Value"}, "incorrect1": {"dtype": "string", "id": null, "_type": "Value"}, "incorrect1_rule": {"dtype": "string", "id": null, "_type": "Value"}, "incorrect2": {"dtype": "string", "id": null, "_type": "Value"}, "incorrect2_rule": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "time_dial", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1449879, "num_examples": 1446, "dataset_name": "time_dial"}}, "download_checksums": {"https://raw.githubusercontent.com/google-research-datasets/TimeDial/main/test.json": {"num_bytes": 1613806, "checksum": "771126fcbb7441fce4a6f3a1fce4a1b3c0ebaaa24ed5b443a7fa1d9723745481"}}, "download_size": 1613806, "post_processing_size": null, "dataset_size": 1449879, "size_in_bytes": 3063685}}