Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -17,8 +17,37 @@ task_categories:
 - other
 task_ids:
 - other-other
-paperswithcode_id: null
 pretty_name: test
+configs:
+- config_name: customers
+  data_files:
+  - split: train
+    path: customers/train-*
+  - split: validation
+    path: customers/validation-*
+  - split: test
+    path: customers/test-*
+dataset_info:
+  config_name: customers
+  features:
+  - name: customer_id
+    dtype: int64
+  - name: name
+    dtype: string
+  - name: age
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 2164
+    num_examples: 70
+  - name: validation
+    num_bytes: 465
+    num_examples: 15
+  - name: test
+    num_bytes: 463
+    num_examples: 15
+  download_size: 6030
+  dataset_size: 3092
 ---
 
 # Dataset Card for test

customers/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5594c80522f04f61c7e8fd71ec9592b60c51deef2a29dc340d9208bd979a6c4e
+size 1750

customers/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:879e13f830fe6a77be919acd4942c0048fbd87c0a4e52f2c88166ffba66a50af
+size 2530

customers/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a051dec440d31820adb12a02d3170380378626d9b7343766c3e9ce76c23c7f98
+size 1750

dataset_infos.json

@@ -1,61 +1,83 @@
 {
-  "customers": {
-    "description": "This is the customer dataset. It contains information about customer interactions.",
-    "citation": "@inproceedings{author2024dataset,\n  title={A Dataset for Customer Interactions},\n  author={Author, A.},\n  booktitle={Conference on Data},\n  year={2024}\n}",
-    "homepage": "https://example.com/customers",
-    "license": "MIT License",
-    "features": {
-      "customer_id": {
-        "dtype": "int64",
-        "_type": "Value"
-      },
-      "name": {
-        "dtype": "string",
-        "_type": "Value"
-      },
-      "age": {
-        "dtype": "int64",
-        "_type": "Value"
-      }
+    "customers": {
+        "description": "Description of your dataset goes here.\n",
+        "citation": "Put your dataset citation here.\n",
+        "homepage": "https://your-dataset-homepage.com",
+        "license": "License information goes here.",
+        "features": {
+            "customer_id": {
+                "dtype": "int64",
+                "_type": "Value"
+            },
+            "name": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "age": {
+                "dtype": "int64",
+                "_type": "Value"
+            }
+        },
+        "builder_name": "test",
+        "dataset_name": "test",
+        "config_name": "customers",
+        "version": {
+            "version_str": "1.0.0",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 2164,
+                "num_examples": 70,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 465,
+                "num_examples": 15,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 463,
+                "num_examples": 15,
+                "dataset_name": null
+            }
+        },
+        "download_size": 6030,
+        "dataset_size": 3092,
+        "size_in_bytes": 9122
     },
-    "download_size": 12345678,
-    "dataset_size": 23456789,
-    "task_categories": [
-      "tabular"
-    ],
-    "task_ids": [
-      "regression"
-    ],
-    "version": "1.0.0"
-  },
-  "products": {
-    "description": "This is the product dataset. It includes details about various products.",
-    "citation": "@inproceedings{author2024dataset,\n  title={A Dataset for Product Analysis},\n  author={Author, B.},\n  booktitle={Product Analytics Conference},\n  year={2024}\n}",
-    "homepage": "https://example.com/products",
-    "license": "Apache License 2.0",
-    "features": {
-      "product_id": {
-        "dtype": "int64",
-        "_type": "Value"
-      },
-      "name": {
-        "dtype": "string",
-        "_type": "Value"
-      },
-      "price": {
-        "dtype": "double",
-        "_type": "Value"
-      }
-    },
-    "download_size": 7890123,
-    "dataset_size": 8901234,
-    "task_categories": [
-      "classification"
-    ],
-    "task_ids": [
-      "binary_classification"
-    ],
-    "version": "1.0.0"
-  }
-}
-
+    "products": {
+        "description": "This is the product dataset. It includes details about various products.",
+        "citation": "@inproceedings{author2024dataset,\n  title={A Dataset for Product Analysis},\n  author={Author, B.},\n  booktitle={Product Analytics Conference},\n  year={2024}\n}",
+        "homepage": "https://example.com/products",
+        "license": "Apache License 2.0",
+        "features": {
+            "product_id": {
+                "dtype": "int64",
+                "_type": "Value"
+            },
+            "name": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "price": {
+                "dtype": "double",
+                "_type": "Value"
+            }
+        },
+        "download_size": 7890123,
+        "dataset_size": 8901234,
+        "task_categories": [
+            "classification"
+        ],
+        "task_ids": [
+            "binary_classification"
+        ],
+        "version": "1.0.0"
+    }
+}