Convert dataset to Parquet

Convert dataset to Parquet.

.gitattributes

@@ -15,3 +15,4 @@
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
 data/default.jsonl filter=lfs diff=lfs merge=lfs -text
+data/test-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text

README.md

@@ -21,6 +21,45 @@ task_categories:
 task_ids:
 - multiple-choice-qa
 - open-domain-qa
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/test-*
+dataset_info:
+  features:
+  - name: A
+    dtype: string
+  - name: B
+    dtype: string
+  - name: C
+    dtype: string
+  - name: D
+    dtype: string
+  - name: context
+    dtype: string
+  - name: question
+    dtype: string
+  - name: ex_question
+    dtype: string
+  - name: group
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': A
+          '1': B
+          '2': C
+          '3': D
+  - name: name
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 5698184
+    num_examples: 18736
+  download_size: 336196
+  dataset_size: 5698184
 ---
 
 # PROST: Physical Reasoning about Objects Through Space and Time

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71e042a340deff611e48d25ae864290adf49993c9fda60f1fee26432222d426b
+size 336196

dataset_infos.json

@@ -1 +1,75 @@
-{"default": {"description": "*Physical Reasoning about Objects Through Space and Time* (PROST) is a probing dataset to evaluate the ability of pretrained LMs to understand and reason about the physical world. PROST consists of 18,736 cloze-style multiple choice questions from 14 manually curated templates, covering 10 physical reasoning concepts:  direction, mass, height, circumference, stackable, rollable, graspable, breakable, slideable, and bounceable.\n", "citation": "@inproceedings{aroca-ouellette-etal-2021-prost,\n  title = \"{PROST}: {P}hysical Reasoning about Objects through Space and Time\",\n  author = \"Aroca-Ouellette, St{'e}phane  and\n    Paik, Cory  and\n    Roncone, Alessandro  and\n    Kann, Katharina\",\n  booktitle = \"Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021\",\n  month = aug,\n  year = \"2021\",\n  address = \"Online\",\n  publisher = \"Association for Computational Linguistics\",\n  url = \"https://aclanthology.org/2021.findings-acl.404\",\n  pages = \"4597--4608\",\n}\n", "homepage": "https://github.com/nala-cub/prost", "license": "Apache 2.0", "features": {"A": {"dtype": "string", "id": null, "_type": "Value"}, "B": {"dtype": "string", "id": null, "_type": "Value"}, "C": {"dtype": "string", "id": null, "_type": "Value"}, "D": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "ex_question": {"dtype": "string", "id": null, "_type": "Value"}, "group": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 4, "names": ["A", "B", "C", "D"], "names_file": null, "id": null, "_type": "ClassLabel"}, "name": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "prost", "config_name": "default", "version": {"version_str": "1.0.1", "description": null, "major": 1, "minor": 0, "patch": 1}, "splits": {"test": {"name": "test", "num_bytes": 5698256, "num_examples": 18736, "dataset_name": "prost"}}, "download_checksums": {"https://huggingface.co/datasets/corypaik/prost/resolve/main/data/default.jsonl": {"num_bytes": 7197063, "checksum": "05d773ae2768047579ea22415fc593199430747027b3df5621e60044fe893bde"}}, "download_size": 7197063, "post_processing_size": null, "dataset_size": 5698256, "size_in_bytes": 12895319}}
+{
+    "default": {
+        "description": "*Physical Reasoning about Objects Through Space and Time* (PROST) is a probing dataset to evaluate the ability of pretrained LMs to understand and reason about the physical world. PROST consists of 18,736 cloze-style multiple choice questions from 14 manually curated templates, covering 10 physical reasoning concepts:  direction, mass, height, circumference, stackable, rollable, graspable, breakable, slideable, and bounceable.\n",
+        "citation": "@inproceedings{aroca-ouellette-etal-2021-prost,\n  title = \"{PROST}: {P}hysical Reasoning about Objects through Space and Time\",\n  author = \"Aroca-Ouellette, St{'e}phane  and\n    Paik, Cory  and\n    Roncone, Alessandro  and\n    Kann, Katharina\",\n  booktitle = \"Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021\",\n  month = aug,\n  year = \"2021\",\n  address = \"Online\",\n  publisher = \"Association for Computational Linguistics\",\n  url = \"https://aclanthology.org/2021.findings-acl.404\",\n  pages = \"4597--4608\",\n}\n",
+        "homepage": "https://github.com/nala-cub/prost",
+        "license": "Apache 2.0",
+        "features": {
+            "A": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "B": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "C": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "D": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "context": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "question": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "ex_question": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "group": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "label": {
+                "names": [
+                    "A",
+                    "B",
+                    "C",
+                    "D"
+                ],
+                "_type": "ClassLabel"
+            },
+            "name": {
+                "dtype": "string",
+                "_type": "Value"
+            }
+        },
+        "builder_name": "prost",
+        "dataset_name": "prost",
+        "config_name": "default",
+        "version": {
+            "version_str": "1.0.1",
+            "major": 1,
+            "minor": 0,
+            "patch": 1
+        },
+        "splits": {
+            "test": {
+                "name": "test",
+                "num_bytes": 5698184,
+                "num_examples": 18736,
+                "dataset_name": null
+            }
+        },
+        "download_size": 336196,
+        "dataset_size": 5698184,
+        "size_in_bytes": 6034380
+    }
+}