Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -1,15 +1,14 @@
 ---
 annotations_creators:
 - crowdsourced
-language:
-- en
 language_creators:
 - found
+language:
+- en
 license:
 - cc-by-4.0
 multilinguality:
 - monolingual
-pretty_name: Question Answering via Sentence Composition (QASC)
 size_categories:
 - 1K<n<10K
 source_datasets:
@@ -21,6 +20,7 @@ task_ids:
 - extractive-qa
 - multiple-choice-qa
 paperswithcode_id: qasc
+pretty_name: Question Answering via Sentence Composition (QASC)
 dataset_info:
   features:
   - name: id
@@ -44,17 +44,26 @@ dataset_info:
   - name: formatted_question
     dtype: string
   splits:
-  - name: test
-    num_bytes: 393683
-    num_examples: 920
   - name: train
-    num_bytes: 4919377
+    num_bytes: 4891878
     num_examples: 8134
+  - name: test
+    num_bytes: 390534
+    num_examples: 920
   - name: validation
-    num_bytes: 562352
+    num_bytes: 559180
     num_examples: 926
-  download_size: 1616514
-  dataset_size: 5875412
+  download_size: 2349698
+  dataset_size: 5841592
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+  - split: validation
+    path: data/validation-*
 ---
 
 # Dataset Card for "qasc"

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:495cfbd17abc1720b54785cdce68825104aaf60d7b8bdb2acac62157a31eb517
+size 158241

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b9a297b5ab55f1605c7682ffbb7042c26d7ecb9ff1e1aa5a820d4e791c8302d1
+size 1967904

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1ae34ae13c5fce2c55305372c203c6cdb789728d0d7e5ea2956d55bc33f40ae
+size 223553

dataset_infos.json

@@ -1 +1,83 @@
-{"default": {"description": "\nQASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice \nquestions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences.\n", "citation": "@article{allenai:qasc,\n      author    = {Tushar Khot and Peter Clark and Michal Guerquin and Peter Jansen and Ashish Sabharwal},\n      title     = {QASC: A Dataset for Question Answering via Sentence Composition},\n      journal   = {arXiv:1910.11473v2},\n      year      = {2020},\n}\n", "homepage": "https://allenai.org/data/qasc", "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"}, "fact1": {"dtype": "string", "id": null, "_type": "Value"}, "fact2": {"dtype": "string", "id": null, "_type": "Value"}, "combinedfact": {"dtype": "string", "id": null, "_type": "Value"}, "formatted_question": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "qasc", "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": 393683, "num_examples": 920, "dataset_name": "qasc"}, "train": {"name": "train", "num_bytes": 4919377, "num_examples": 8134, "dataset_name": "qasc"}, "validation": {"name": "validation", "num_bytes": 562352, "num_examples": 926, "dataset_name": "qasc"}}, "download_checksums": {"http://data.allenai.org/downloads/qasc/qasc_dataset.tar.gz": {"num_bytes": 1616514, "checksum": "a7b3f2244f768974c609fd621346c931a72715609f171cb5544fc1da2a2ad55c"}}, "download_size": 1616514, "dataset_size": 5875412, "size_in_bytes": 7491926}}
+{
+    "default": {
+        "description": "\nQASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice\nquestions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences.\n",
+        "citation": "@article{allenai:qasc,\n      author    = {Tushar Khot and Peter Clark and Michal Guerquin and Peter Jansen and Ashish Sabharwal},\n      title     = {QASC: A Dataset for Question Answering via Sentence Composition},\n      journal   = {arXiv:1910.11473v2},\n      year      = {2020},\n}\n",
+        "homepage": "https://allenai.org/data/qasc",
+        "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"
+            },
+            "fact1": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "fact2": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "combinedfact": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "formatted_question": {
+                "dtype": "string",
+                "_type": "Value"
+            }
+        },
+        "builder_name": "qasc",
+        "dataset_name": "qasc",
+        "config_name": "default",
+        "version": {
+            "version_str": "0.1.0",
+            "major": 0,
+            "minor": 1,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 4891878,
+                "num_examples": 8134,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 390534,
+                "num_examples": 920,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 559180,
+                "num_examples": 926,
+                "dataset_name": null
+            }
+        },
+        "download_size": 2349698,
+        "dataset_size": 5841592,
+        "size_in_bytes": 8191290
+    }
+}