Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -18,7 +18,6 @@ task_categories:
 task_ids:
 - text-scoring
 - sentiment-scoring
-paperswithcode_id: null
 pretty_name: AppReviews
 dataset_info:
   features:
@@ -32,10 +31,15 @@ dataset_info:
     dtype: int8
   splits:
   - name: train
-    num_bytes: 32769079
+    num_bytes: 32768731
     num_examples: 288065
-  download_size: 42592679
-  dataset_size: 32769079
+  download_size: 13207727
+  dataset_size: 32768731
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for [Dataset Name]

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98ae86405b99fcf2b153f9a0d1a80e8f1ee6be30eade64d1e72958a3fa03369c
+size 13207727

dataset_infos.json

@@ -1 +1,46 @@
-{"default": {"description": "It is a large dataset of Android applications belonging to 23 differentapps categories, which provides an overview of the types of feedback users report on the apps and documents the evolution of the related code metrics. The dataset contains about 395 applications of the F-Droid repository, including around 600 versions, 280,000 user reviews (extracted with specific text mining approaches)\n", "citation": "@InProceedings{Zurich Open Repository and\nArchive:dataset,\ntitle = {Software Applications User Reviews},\nauthors={Grano, Giovanni; Di Sorbo, Andrea; Mercaldo, Francesco; Visaggio, Corrado A; Canfora, Gerardo;\nPanichella, Sebastiano},\nyear={2017}\n}\n", "homepage": "https://giograno.me/assets/pdf/workshop/wama17.pdf", "license": "", "features": {"package_name": {"dtype": "string", "id": null, "_type": "Value"}, "review": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "star": {"dtype": "int8", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "app_reviews", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 32769079, "num_examples": 288065, "dataset_name": "app_reviews"}}, "download_checksums": {"https://raw.githubusercontent.com/sealuzh/user_quality/master/csv_files/reviews.csv": {"num_bytes": 42592679, "checksum": "6fdb54a7b17f4c886a9ef72dfa7380c7ead2cb2c0b416df9e152f9b48e53caf9"}}, "download_size": 42592679, "post_processing_size": null, "dataset_size": 32769079, "size_in_bytes": 75361758}}
+{
+    "default": {
+        "description": "It is a large dataset of Android applications belonging to 23 differentapps categories, which provides an overview of the types of feedback users report on the apps and documents the evolution of the related code metrics. The dataset contains about 395 applications of the F-Droid repository, including around 600 versions, 280,000 user reviews (extracted with specific text mining approaches)\n",
+        "citation": "@InProceedings{Zurich Open Repository and\nArchive:dataset,\ntitle = {Software Applications User Reviews},\nauthors={Grano, Giovanni; Di Sorbo, Andrea; Mercaldo, Francesco; Visaggio, Corrado A; Canfora, Gerardo;\nPanichella, Sebastiano},\nyear={2017}\n}\n",
+        "homepage": "https://giograno.me/assets/pdf/workshop/wama17.pdf",
+        "license": "",
+        "features": {
+            "package_name": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "review": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "date": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "star": {
+                "dtype": "int8",
+                "_type": "Value"
+            }
+        },
+        "builder_name": "parquet",
+        "dataset_name": "app_reviews",
+        "config_name": "default",
+        "version": {
+            "version_str": "0.0.0",
+            "major": 0,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 32768731,
+                "num_examples": 288065,
+                "dataset_name": null
+            }
+        },
+        "download_size": 13207727,
+        "dataset_size": 32768731,
+        "size_in_bytes": 45976458
+    }
+}