Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -1,15 +1,14 @@
 ---
 annotations_creators:
 - expert-generated
-language:
-- en
 language_creators:
 - found
+language:
+- en
 license:
 - other
 multilinguality:
 - monolingual
-pretty_name: RACE
 size_categories:
 - 10K<n<100K
 source_datasets:
@@ -19,8 +18,9 @@ task_categories:
 task_ids:
 - multiple-choice-qa
 paperswithcode_id: race
+pretty_name: RACE
 dataset_info:
-- config_name: high
+- config_name: all
   features:
   - name: example_id
     dtype: string
@@ -34,17 +34,17 @@ dataset_info:
     sequence: string
   splits:
   - name: test
-    num_bytes: 6989121
-    num_examples: 3498
+    num_bytes: 8775394
+    num_examples: 4934
   - name: train
-    num_bytes: 126243396
-    num_examples: 62445
+    num_bytes: 157308694
+    num_examples: 87866
   - name: validation
-    num_bytes: 6885287
-    num_examples: 3451
+    num_bytes: 8647200
+    num_examples: 4887
   download_size: 25443609
-  dataset_size: 140117804
-- config_name: middle
+  dataset_size: 174731288
+- config_name: high
   features:
   - name: example_id
     dtype: string
@@ -58,17 +58,17 @@ dataset_info:
     sequence: string
   splits:
   - name: test
-    num_bytes: 1786297
-    num_examples: 1436
+    num_bytes: 6989097
+    num_examples: 3498
   - name: train
-    num_bytes: 31065322
-    num_examples: 25421
+    num_bytes: 126243228
+    num_examples: 62445
   - name: validation
-    num_bytes: 1761937
-    num_examples: 1436
-  download_size: 25443609
-  dataset_size: 34613556
-- config_name: all
+    num_bytes: 6885263
+    num_examples: 3451
+  download_size: 33750880
+  dataset_size: 140117588
+- config_name: middle
   features:
   - name: example_id
     dtype: string
@@ -82,16 +82,25 @@ dataset_info:
     sequence: string
   splits:
   - name: test
-    num_bytes: 8775394
-    num_examples: 4934
+    num_bytes: 1786297
+    num_examples: 1436
   - name: train
-    num_bytes: 157308694
-    num_examples: 87866
+    num_bytes: 31065322
+    num_examples: 25421
   - name: validation
-    num_bytes: 8647200
-    num_examples: 4887
+    num_bytes: 1761937
+    num_examples: 1436
   download_size: 25443609
-  dataset_size: 174731288
+  dataset_size: 34613556
+configs:
+- config_name: high
+  data_files:
+  - split: test
+    path: high/test-*
+  - split: train
+    path: high/train-*
+  - split: validation
+    path: high/validation-*
 ---
 
 # Dataset Card for "race"

dataset_infos.json

@@ -1 +1,223 @@
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The\n dataset is collected from English examinations in China, which are designed for middle school and high school students.\nThe dataset can be served as the training and test sets for machine comprehension.\n\n", "citation": "@article{lai2017large,\n    title={RACE: Large-scale ReAding Comprehension Dataset From Examinations},\n    author={Lai, Guokun and Xie, Qizhe and Liu, Hanxiao and Yang, Yiming and Hovy, Eduard},\n    journal={arXiv preprint arXiv:1704.04683},\n    year={2017}\n}\n", "homepage": "http://www.cs.cmu.edu/~glai1/data/race/", "license": "", "features": {"example_id": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "options": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "race", "config_name": "high", "version": {"version_str": "0.1.0", "description": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 6989121, "num_examples": 3498, "dataset_name": "race"}, "train": {"name": "train", "num_bytes": 126243396, "num_examples": 62445, "dataset_name": "race"}, "validation": {"name": "validation", "num_bytes": 6885287, "num_examples": 3451, "dataset_name": "race"}}, "download_checksums": {"http://www.cs.cmu.edu/~glai1/data/race/RACE.tar.gz": {"num_bytes": 25443609, "checksum": "b2769cc9fdc5c546a693300eb9a966cec6870bd349fbc44ed5225f8ad33006e5"}}, "download_size": 25443609, "post_processing_size": null, "dataset_size": 140117804, "size_in_bytes": 165561413}, "middle": {"description": "Race is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The\n dataset is collected from English examinations in China, which are designed for middle school and high school students.\nThe dataset can be served as the training and test sets for machine comprehension.\n\n", "citation": "@article{lai2017large,\n    title={RACE: Large-scale ReAding Comprehension Dataset From Examinations},\n    author={Lai, Guokun and Xie, Qizhe and Liu, Hanxiao and Yang, Yiming and Hovy, Eduard},\n    journal={arXiv preprint arXiv:1704.04683},\n    year={2017}\n}\n", "homepage": "http://www.cs.cmu.edu/~glai1/data/race/", "license": "", "features": {"example_id": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "options": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "race", "config_name": "middle", "version": {"version_str": "0.1.0", "description": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1786297, "num_examples": 1436, "dataset_name": "race"}, "train": {"name": "train", "num_bytes": 31065322, "num_examples": 25421, "dataset_name": "race"}, "validation": {"name": "validation", "num_bytes": 1761937, "num_examples": 1436, "dataset_name": "race"}}, "download_checksums": {"http://www.cs.cmu.edu/~glai1/data/race/RACE.tar.gz": {"num_bytes": 25443609, "checksum": "b2769cc9fdc5c546a693300eb9a966cec6870bd349fbc44ed5225f8ad33006e5"}}, "download_size": 25443609, "post_processing_size": null, "dataset_size": 34613556, "size_in_bytes": 60057165}, "all": {"description": "Race is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The\n dataset is collected from English examinations in China, which are designed for middle school and high school students.\nThe dataset can be served as the training and test sets for machine comprehension.\n\n", "citation": "@article{lai2017large,\n    title={RACE: Large-scale ReAding Comprehension Dataset From Examinations},\n    author={Lai, Guokun and Xie, Qizhe and Liu, Hanxiao and Yang, Yiming and Hovy, Eduard},\n    journal={arXiv preprint arXiv:1704.04683},\n    year={2017}\n}\n", "homepage": "http://www.cs.cmu.edu/~glai1/data/race/", "license": "", "features": {"example_id": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "options": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "race", "config_name": "all", "version": {"version_str": "0.1.0", "description": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 8775394, "num_examples": 4934, "dataset_name": "race"}, "train": {"name": "train", "num_bytes": 157308694, "num_examples": 87866, "dataset_name": "race"}, "validation": {"name": "validation", "num_bytes": 8647200, "num_examples": 4887, "dataset_name": "race"}}, "download_checksums": {"http://www.cs.cmu.edu/~glai1/data/race/RACE.tar.gz": {"num_bytes": 25443609, "checksum": "b2769cc9fdc5c546a693300eb9a966cec6870bd349fbc44ed5225f8ad33006e5"}}, "download_size": 25443609, "post_processing_size": null, "dataset_size": 174731288, "size_in_bytes": 200174897}}
+{
+    "high": {
+        "description": "Race is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The\n dataset is collected from English examinations in China, which are designed for middle school and high school students.\nThe dataset can be served as the training and test sets for machine comprehension.\n\n",
+        "citation": "@article{lai2017large,\n    title={RACE: Large-scale ReAding Comprehension Dataset From Examinations},\n    author={Lai, Guokun and Xie, Qizhe and Liu, Hanxiao and Yang, Yiming and Hovy, Eduard},\n    journal={arXiv preprint arXiv:1704.04683},\n    year={2017}\n}\n",
+        "homepage": "http://www.cs.cmu.edu/~glai1/data/race/",
+        "license": "",
+        "features": {
+            "example_id": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "article": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "answer": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "question": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "options": {
+                "feature": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "_type": "Sequence"
+            }
+        },
+        "builder_name": "race",
+        "dataset_name": "race",
+        "config_name": "high",
+        "version": {
+            "version_str": "0.1.0",
+            "major": 0,
+            "minor": 1,
+            "patch": 0
+        },
+        "splits": {
+            "test": {
+                "name": "test",
+                "num_bytes": 6989097,
+                "num_examples": 3498,
+                "dataset_name": null
+            },
+            "train": {
+                "name": "train",
+                "num_bytes": 126243228,
+                "num_examples": 62445,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 6885263,
+                "num_examples": 3451,
+                "dataset_name": null
+            }
+        },
+        "download_size": 33750880,
+        "dataset_size": 140117588,
+        "size_in_bytes": 173868468
+    },
+    "middle": {
+        "description": "Race is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The\n dataset is collected from English examinations in China, which are designed for middle school and high school students.\nThe dataset can be served as the training and test sets for machine comprehension.\n\n",
+        "citation": "@article{lai2017large,\n    title={RACE: Large-scale ReAding Comprehension Dataset From Examinations},\n    author={Lai, Guokun and Xie, Qizhe and Liu, Hanxiao and Yang, Yiming and Hovy, Eduard},\n    journal={arXiv preprint arXiv:1704.04683},\n    year={2017}\n}\n",
+        "homepage": "http://www.cs.cmu.edu/~glai1/data/race/",
+        "license": "",
+        "features": {
+            "example_id": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "article": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "answer": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "question": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
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+            "options": {
+                "feature": {
+                    "dtype": "string",
+                    "id": null,
+                    "_type": "Value"
+                },
+                "length": -1,
+                "id": null,
+                "_type": "Sequence"
+            }
+        },
+        "post_processed": null,
+        "supervised_keys": null,
+        "builder_name": "race",
+        "config_name": "middle",
+        "version": {
+            "version_str": "0.1.0",
+            "description": null,
+            "major": 0,
+            "minor": 1,
+            "patch": 0
+        },
+        "splits": {
+            "test": {
+                "name": "test",
+                "num_bytes": 1786297,
+                "num_examples": 1436,
+                "dataset_name": "race"
+            },
+            "train": {
+                "name": "train",
+                "num_bytes": 31065322,
+                "num_examples": 25421,
+                "dataset_name": "race"
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 1761937,
+                "num_examples": 1436,
+                "dataset_name": "race"
+            }
+        },
+        "download_checksums": {
+            "http://www.cs.cmu.edu/~glai1/data/race/RACE.tar.gz": {
+                "num_bytes": 25443609,
+                "checksum": "b2769cc9fdc5c546a693300eb9a966cec6870bd349fbc44ed5225f8ad33006e5"
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+        "download_size": 25443609,
+        "post_processing_size": null,
+        "dataset_size": 34613556,
+        "size_in_bytes": 60057165
+    },
+    "all": {
+        "description": "Race is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The\n dataset is collected from English examinations in China, which are designed for middle school and high school students.\nThe dataset can be served as the training and test sets for machine comprehension.\n\n",
+        "citation": "@article{lai2017large,\n    title={RACE: Large-scale ReAding Comprehension Dataset From Examinations},\n    author={Lai, Guokun and Xie, Qizhe and Liu, Hanxiao and Yang, Yiming and Hovy, Eduard},\n    journal={arXiv preprint arXiv:1704.04683},\n    year={2017}\n}\n",
+        "homepage": "http://www.cs.cmu.edu/~glai1/data/race/",
+        "license": "",
+        "features": {
+            "example_id": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
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+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
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+                "dtype": "string",
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+                "_type": "Value"
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+                "_type": "Value"
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+                    "_type": "Value"
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+                "id": null,
+                "_type": "Sequence"
+            }
+        },
+        "post_processed": null,
+        "supervised_keys": null,
+        "builder_name": "race",
+        "config_name": "all",
+        "version": {
+            "version_str": "0.1.0",
+            "description": null,
+            "major": 0,
+            "minor": 1,
+            "patch": 0
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+                "num_bytes": 8775394,
+                "num_examples": 4934,
+                "dataset_name": "race"
+            },
+            "train": {
+                "name": "train",
+                "num_bytes": 157308694,
+                "num_examples": 87866,
+                "dataset_name": "race"
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 8647200,
+                "num_examples": 4887,
+                "dataset_name": "race"
+            }
+        },
+        "download_checksums": {
+            "http://www.cs.cmu.edu/~glai1/data/race/RACE.tar.gz": {
+                "num_bytes": 25443609,
+                "checksum": "b2769cc9fdc5c546a693300eb9a966cec6870bd349fbc44ed5225f8ad33006e5"
+            }
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+        "download_size": 25443609,
+        "post_processing_size": null,
+        "dataset_size": 174731288,
+        "size_in_bytes": 200174897
+    }
+}

high/test-00000-of-00001.parquet

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+size 1683666

high/train-00000-of-00001.parquet

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+size 30411742

high/validation-00000-of-00001.parquet

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