Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -34,10 +34,15 @@ dataset_info:
           '1': 1
   splits:
   - name: train
-    num_bytes: 701650
+    num_bytes: 701642
     num_examples: 3048
-  download_size: 665688
-  dataset_size: 701650
+  download_size: 313704
+  dataset_size: 701642
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for [medical_questions_pairs]

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8fdd6d8ac7bc25f0a4c6ae1b324dd3e730b78965b14abd830f6cb1869b27594f
+size 313704

dataset_infos.json

@@ -1 +1,49 @@
-{"default": {"description": "This dataset consists of 3048 similar and dissimilar medical question pairs hand-generated and labeled by Curai's doctors.\n", "citation": "", "homepage": "https://github.com/curai/medical-question-pair-dataset", "license": "", "features": {"dr_id": {"dtype": "int32", "id": null, "_type": "Value"}, "question_1": {"dtype": "string", "id": null, "_type": "Value"}, "question_2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": [0, 1], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "medical_questions_pairs", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 701650, "num_examples": 3048, "dataset_name": "medical_questions_pairs"}}, "download_checksums": {"https://raw.githubusercontent.com/curai/medical-question-pair-dataset/master/mqp.csv": {"num_bytes": 665688, "checksum": "94ecd609a9ca9350e1cff2438aa55a034762f01c1a68732aaae3e4be7b03cf57"}}, "download_size": 665688, "post_processing_size": null, "dataset_size": 701650, "size_in_bytes": 1367338}}
+{
+    "default": {
+        "description": "This dataset consists of 3048 similar and dissimilar medical question pairs hand-generated and labeled by Curai's doctors.\n",
+        "citation": "@misc{mccreery2020effective,\n      title={Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs},\n      author={Clara H. McCreery and Namit Katariya and Anitha Kannan and Manish Chablani and Xavier Amatriain},\n      year={2020},\n      eprint={2008.13546},\n      archivePrefix={arXiv},\n      primaryClass={cs.IR}\n}\n",
+        "homepage": "https://github.com/curai/medical-question-pair-dataset",
+        "license": "",
+        "features": {
+            "dr_id": {
+                "dtype": "int32",
+                "_type": "Value"
+            },
+            "question_1": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "question_2": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "label": {
+                "names": [
+                    0,
+                    1
+                ],
+                "_type": "ClassLabel"
+            }
+        },
+        "builder_name": "medical_questions_pairs",
+        "dataset_name": "medical_questions_pairs",
+        "config_name": "default",
+        "version": {
+            "version_str": "0.0.0",
+            "major": 0,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 701642,
+                "num_examples": 3048,
+                "dataset_name": null
+            }
+        },
+        "download_size": 313704,
+        "dataset_size": 701642,
+        "size_in_bytes": 1015346
+    }
+}