Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -67,17 +67,26 @@ dataset_info:
     - name: less_cause_dir
       dtype: string
   splits:
-  - name: test
-    num_bytes: 351374
-    num_examples: 784
   - name: train
-    num_bytes: 1197525
+    num_bytes: 1188342
     num_examples: 2696
+  - name: test
+    num_bytes: 348644
+    num_examples: 784
   - name: validation
-    num_bytes: 175871
+    num_bytes: 174491
     num_examples: 384
-  download_size: 497354
-  dataset_size: 1724770
+  download_size: 569255
+  dataset_size: 1711477
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+  - split: validation
+    path: data/validation-*
 ---
 
 # Dataset Card for "quartz"

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78c4c77cfc1ad0e65dbdfeec4ed788117e73484ad44f6a2aebf43e08c7fba2e8
+size 99764

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:edeb1fa716d945ee198c9f5ce5ab6cad4d847e714ff7463834dee422c8450035
+size 415195

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91afc8bbdb1b6b67f35f05ea4b4dbc1ba718ec2469be665a386c46b4648a1fb4
+size 54296

dataset_infos.json

@@ -1 +1,127 @@
-{"default": {"description": "QuaRTz is a crowdsourced dataset of 3864 multiple-choice questions about open domain qualitative relationships. Each \nquestion is paired with one of 405 different background sentences (sometimes short paragraphs).\nThe QuaRTz dataset V1 contains 3864 questions about open domain qualitative relationships. Each question is paired with \none of 405 different background sentences (sometimes short paragraphs).\n\nThe dataset is split into train (2696), dev (384) and test (784). A background sentence will only appear in a single split.\n", "citation": "@InProceedings{quartz,\n  author = {Oyvind Tafjord and Matt Gardner and Kevin Lin and Peter Clark},\n  title = {\"QUARTZ: An Open-Domain Dataset of Qualitative Relationship\nQuestions\"},\n \n  year = {\"2019\"},\n}\n", "homepage": "https://allenai.org/data/quartz", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}, "para": {"dtype": "string", "id": null, "_type": "Value"}, "para_id": {"dtype": "string", "id": null, "_type": "Value"}, "para_anno": {"effect_prop": {"dtype": "string", "id": null, "_type": "Value"}, "cause_dir_str": {"dtype": "string", "id": null, "_type": "Value"}, "effect_dir_str": {"dtype": "string", "id": null, "_type": "Value"}, "cause_dir_sign": {"dtype": "string", "id": null, "_type": "Value"}, "effect_dir_sign": {"dtype": "string", "id": null, "_type": "Value"}, "cause_prop": {"dtype": "string", "id": null, "_type": "Value"}}, "question_anno": {"more_effect_dir": {"dtype": "string", "id": null, "_type": "Value"}, "less_effect_dir": {"dtype": "string", "id": null, "_type": "Value"}, "less_cause_prop": {"dtype": "string", "id": null, "_type": "Value"}, "more_effect_prop": {"dtype": "string", "id": null, "_type": "Value"}, "less_effect_prop": {"dtype": "string", "id": null, "_type": "Value"}, "less_cause_dir": {"dtype": "string", "id": null, "_type": "Value"}}}, "supervised_keys": null, "builder_name": "quartz", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 351374, "num_examples": 784, "dataset_name": "quartz"}, "train": {"name": "train", "num_bytes": 1197525, "num_examples": 2696, "dataset_name": "quartz"}, "validation": {"name": "validation", "num_bytes": 175871, "num_examples": 384, "dataset_name": "quartz"}}, "download_checksums": {"https://s3-us-west-2.amazonaws.com/ai2-website/data/quartz-dataset-v1-aug2019.zip": {"num_bytes": 497354, "checksum": "e86ed35153c6c3fb6dc5991b6a3b520a2c154c42266cb6b4edc7ed526fa4b5a8"}}, "download_size": 497354, "dataset_size": 1724770, "size_in_bytes": 2222124}}
+{
+    "default": {
+        "description": "QuaRTz is a crowdsourced dataset of 3864 multiple-choice questions about open domain qualitative relationships. Each\nquestion is paired with one of 405 different background sentences (sometimes short paragraphs).\nThe QuaRTz dataset V1 contains 3864 questions about open domain qualitative relationships. Each question is paired with\none of 405 different background sentences (sometimes short paragraphs).\nThe dataset is split into train (2696), dev (384) and test (784). A background sentence will only appear in a single split.\n",
+        "citation": "@InProceedings{quartz,\n  author = {Oyvind Tafjord and Matt Gardner and Kevin Lin and Peter Clark},\n  title = {\"QUARTZ: An Open-Domain Dataset of Qualitative Relationship\nQuestions\"},\n  year = {\"2019\"},\n}\n",
+        "homepage": "https://allenai.org/data/quartz",
+        "license": "",
+        "features": {
+            "id": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "question": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "choices": {
+                "feature": {
+                    "text": {
+                        "dtype": "string",
+                        "_type": "Value"
+                    },
+                    "label": {
+                        "dtype": "string",
+                        "_type": "Value"
+                    }
+                },
+                "_type": "Sequence"
+            },
+            "answerKey": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "para": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "para_id": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "para_anno": {
+                "effect_prop": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "cause_dir_str": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "effect_dir_str": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "cause_dir_sign": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "effect_dir_sign": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "cause_prop": {
+                    "dtype": "string",
+                    "_type": "Value"
+                }
+            },
+            "question_anno": {
+                "more_effect_dir": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "less_effect_dir": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "less_cause_prop": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "more_effect_prop": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "less_effect_prop": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "less_cause_dir": {
+                    "dtype": "string",
+                    "_type": "Value"
+                }
+            }
+        },
+        "builder_name": "quartz",
+        "dataset_name": "quartz",
+        "config_name": "default",
+        "version": {
+            "version_str": "0.1.0",
+            "major": 0,
+            "minor": 1,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 1188342,
+                "num_examples": 2696,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 348644,
+                "num_examples": 784,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 174491,
+                "num_examples": 384,
+                "dataset_name": null
+            }
+        },
+        "download_size": 569255,
+        "dataset_size": 1711477,
+        "size_in_bytes": 2280732
+    }
+}