Convert dataset to Parquet

Convert dataset to Parquet.

ARC-Challenge/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:62f03257e737aed263f55c6abf87c7bb0028a44a6bdd2a26eb1279eb42c1d1e9
+size 203808

ARC-Challenge/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e488c1587ffdcfc8443f916c53488a95cd471c5790e0746c6bfe4cecf20962cb
+size 189909

ARC-Challenge/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:395a5c88d1580d69855fbaee9450270578df1ad5af6259771cd0a42c20e99f05
+size 55743

README.md

@@ -5,8 +5,6 @@ language_creators:
 - found
 language:
 - en
-language_bcp47:
-- en-US
 license:
 - cc-by-sa-4.0
 multilinguality:
@@ -20,8 +18,9 @@ task_categories:
 task_ids:
 - open-domain-qa
 - multiple-choice-qa
-paperswithcode_id: null
 pretty_name: Ai2Arc
+language_bcp47:
+- en-US
 dataset_info:
 - config_name: ARC-Challenge
   features:
@@ -39,16 +38,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 351888
+    num_bytes: 349760
     num_examples: 1119
   - name: test
-    num_bytes: 377740
+    num_bytes: 375511
     num_examples: 1172
   - name: validation
-    num_bytes: 97254
+    num_bytes: 96660
     num_examples: 299
-  download_size: 680841265
-  dataset_size: 826882
+  download_size: 449460
+  dataset_size: 821931
 - config_name: ARC-Easy
   features:
   - name: id
@@ -75,6 +74,15 @@ dataset_info:
     num_examples: 570
   download_size: 680841265
   dataset_size: 1443749
+configs:
+- config_name: ARC-Challenge
+  data_files:
+  - split: train
+    path: ARC-Challenge/train-*
+  - split: test
+    path: ARC-Challenge/test-*
+  - split: validation
+    path: ARC-Challenge/validation-*
 ---
 
 # Dataset Card for "ai2_arc"

dataset_infos.json

@@ -1 +1,148 @@
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+{
+    "ARC-Challenge": {
+        "description": "A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in\n advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains\n only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also\n including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.\n",
+        "citation": "@article{allenai:arc,\n      author    = {Peter Clark  and Isaac Cowhey and Oren Etzioni and Tushar Khot and\n                    Ashish Sabharwal and Carissa Schoenick and Oyvind Tafjord},\n      title     = {Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge},\n      journal   = {arXiv:1803.05457v1},\n      year      = {2018},\n}\n",
+        "homepage": "https://allenai.org/data/arc",
+        "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"
+            }
+        },
+        "builder_name": "ai2_arc",
+        "dataset_name": "ai2_arc",
+        "config_name": "ARC-Challenge",
+        "version": {
+            "version_str": "1.0.0",
+            "description": "",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 349760,
+                "num_examples": 1119,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 375511,
+                "num_examples": 1172,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 96660,
+                "num_examples": 299,
+                "dataset_name": null
+            }
+        },
+        "download_size": 449460,
+        "dataset_size": 821931,
+        "size_in_bytes": 1271391
+    },
+    "ARC-Easy": {
+        "description": "A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in\n advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains\n only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also\n including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.\n",
+        "citation": "@article{allenai:arc,\n      author    = {Peter Clark  and Isaac Cowhey and Oren Etzioni and Tushar Khot and\n                    Ashish Sabharwal and Carissa Schoenick and Oyvind Tafjord},\n      title     = {Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge},\n      journal   = {arXiv:1803.05457v1},\n      year      = {2018},\n}\n",
+        "homepage": "https://allenai.org/data/arc",
+        "license": "",
+        "features": {
+            "id": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "question": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
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+            "choices": {
+                "feature": {
+                    "text": {
+                        "dtype": "string",
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+                        "_type": "Value"
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+                    "label": {
+                        "dtype": "string",
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+                        "_type": "Value"
+                    }
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+                "length": -1,
+                "id": null,
+                "_type": "Sequence"
+            },
+            "answerKey": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            }
+        },
+        "supervised_keys": null,
+        "builder_name": "ai2_arc",
+        "config_name": "ARC-Easy",
+        "version": {
+            "version_str": "1.0.0",
+            "description": "",
+            "datasets_version_to_prepare": null,
+            "major": 1,
+            "minor": 0,
+            "patch": 0
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+                "num_bytes": 661997,
+                "num_examples": 2376,
+                "dataset_name": "ai2_arc"
+            },
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+                "num_examples": 2251,
+                "dataset_name": "ai2_arc"
+            },
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+                "name": "validation",
+                "num_bytes": 158498,
+                "num_examples": 570,
+                "dataset_name": "ai2_arc"
+            }
+        },
+        "download_checksums": {
+            "https://s3-us-west-2.amazonaws.com/ai2-website/data/ARC-V1-Feb2018.zip": {
+                "num_bytes": 680841265,
+                "checksum": "6d2d5ab50b2ceec6ba5f79c921be77cf2de712ea25a2b3f4fff3acc101cecfa0"
+            }
+        },
+        "download_size": 680841265,
+        "dataset_size": 1443749,
+        "size_in_bytes": 682285014
+    }
+}