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TRIP.py

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+import os
+from zipfile import ZipFile
+
+import datasets
+
+
+_CITATION = """\
+@misc{storks2021tiered,
+      title={Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding}, 
+      author={Shane Storks and Qiaozi Gao and Yichi Zhang and Joyce Chai},
+      year={2021},
+      booktitle={Findings of the Association for Computational Linguistics: EMNLP 2021},
+      location={Punta Cana, Dominican Republic},
+      publisher={Association for Computational Linguistics},
+}
+"""
+
+_DESCRIPTION = """\
+We introduce Tiered Reasoning for Intuitive Physics (TRIP), a novel commonsense reasoning dataset with dense annotations that enable multi-tiered evaluation of machines’ reasoning process.
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/sled-umich/TRIP"
+
+class TRIP(datasets.GeneratorBasedBuilder):
+    """DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset"""
+
+    VERSION = datasets.Version("1.0.0")
+
+    __EOU__ = "__eou__"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "story_id": datasets.Value("int32"),
+                    "worker_id": datasets.Value("string"),
+                    "type": datasets.Value("string"),
+                    "idx": datasets.Value("int32"),
+                    "aug": datasets.Value("bool"),
+                    "actor": datasets.Value("string"),
+                    "location": datasets.Value("string"),
+                    "objects": datasets.Value("string"),
+                    "sentences": datasets.features.Sequence(datasets.Value("string")),
+                    "length": datasets.Value("int32"),
+                    "example_id": datasets.Value("string"),
+                    "plausible": datasets.Value("bool"),
+                    "breakpoint": datasets.Value("int32"),
+                    "confl_sents": datasets.features.Sequence(datasets.Value("int32")),
+                    "confl_pairs": datasets.features.Sequence({datasets.Value("int32"), datasets.Value("int32")}),
+                    "confl_states": datasets.features.Sequence(datasets.Value("int32")),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )