Upload 6 files

README.md

@@ -1,3 +1,44 @@
 ---
-license: cc
+language:
+- en
+tags:
+- balloons
+- tabular_classification
+- binary_classification
+pretty_name: Balloons
+size_categories:
+- 100<n<10
+task_categories:  # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
+- tabular-classification
+configs:
+- adult_or_stretch
+- adult_and_stretch
+- yellow_and_small
+- yellow_and_small_or_adult_and_stretch
 ---
+# Balloons
+The [Balloons dataset](https://archive.ics.uci.edu/ml/datasets/Balloons) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
+Predict if the given balloon is inflated.
+
+# Configurations and tasks
+| **Configuration**                          | **Task**                  | Description                                                                                      |
+|--------------------------------------------|---------------------------|--------------------------------------------------------------------------------------------------|
+| adult_or_stretch                           | Binary classification     | Balloons are inflated if age == adult or act == stretch.                                         |
+| adult_and_stretch                          | Binary classification     | Balloons are inflated if age == adult and act == stretch.                                        |
+| yellow_and_small                           | Binary classification     | Balloons are inflated if color == yellow and size == small.                                      |
+| yellow_and_small_or_adult_and_stretch      | Binary classification     | Balloons are inflated if color == yellow and size == small or age == adult and act == stretch.   |
+
+# Usage
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("mstz/balloons", "adult_or_stretch")["train"]
+```
+
+# Features
+|**Feature**        |**Type**   | **Description**   |
+|-------------------|-----------|-------------------|
+|`color`            |`[string]` | Balloon's color.  |
+|`size`             |`[string]` | Balloon's size.   |
+|`act`              |`[string]` | Balloon's state.  |
+|`age`              |`[string]` | Balloon's age.    |

adult+stretch.data

@@ -0,0 +1,20 @@
+YELLOW,SMALL,STRETCH,ADULT,T
+YELLOW,SMALL,STRETCH,ADULT,T
+YELLOW,SMALL,STRETCH,CHILD,F
+YELLOW,SMALL,DIP,ADULT,F
+YELLOW,SMALL,DIP,CHILD,F
+YELLOW,LARGE,STRETCH,ADULT,T
+YELLOW,LARGE,STRETCH,ADULT,T
+YELLOW,LARGE,STRETCH,CHILD,F
+YELLOW,LARGE,DIP,ADULT,F
+YELLOW,LARGE,DIP,CHILD,F
+PURPLE,SMALL,STRETCH,ADULT,T
+PURPLE,SMALL,STRETCH,ADULT,T
+PURPLE,SMALL,STRETCH,CHILD,F
+PURPLE,SMALL,DIP,ADULT,F
+PURPLE,SMALL,DIP,CHILD,F
+PURPLE,LARGE,STRETCH,ADULT,T
+PURPLE,LARGE,STRETCH,ADULT,T
+PURPLE,LARGE,STRETCH,CHILD,F
+PURPLE,LARGE,DIP,ADULT,F
+PURPLE,LARGE,DIP,CHILD,F

adult-stretch.data

@@ -0,0 +1,20 @@
+YELLOW,SMALL,STRETCH,ADULT,T
+YELLOW,SMALL,STRETCH,CHILD,T
+YELLOW,SMALL,DIP,ADULT,T
+YELLOW,SMALL,DIP,CHILD,F
+YELLOW,SMALL,DIP,CHILD,F
+YELLOW,LARGE,STRETCH,ADULT,T
+YELLOW,LARGE,STRETCH,CHILD,T
+YELLOW,LARGE,DIP,ADULT,T
+YELLOW,LARGE,DIP,CHILD,F
+YELLOW,LARGE,DIP,CHILD,F
+PURPLE,SMALL,STRETCH,ADULT,T
+PURPLE,SMALL,STRETCH,CHILD,T
+PURPLE,SMALL,DIP,ADULT,T
+PURPLE,SMALL,DIP,CHILD,F
+PURPLE,SMALL,DIP,CHILD,F
+PURPLE,LARGE,STRETCH,ADULT,T
+PURPLE,LARGE,STRETCH,CHILD,T
+PURPLE,LARGE,DIP,ADULT,T
+PURPLE,LARGE,DIP,CHILD,F
+PURPLE,LARGE,DIP,CHILD,F

balloons.py

@@ -0,0 +1,112 @@
+"""Balloons."""
+
+from typing import List
+
+import datasets
+
+import pandas
+
+
+VERSION = datasets.Version("1.0.0")
+_BASE_FEATURE_NAMES = [
+    "color",
+    "size",
+    "act",
+    "age",
+    "inflated"
+]
+
+
+DESCRIPTION = "Balloons dataset from the UCI ML repository."
+_HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Balloons"
+_URLS = ("https://huggingface.co/datasets/mstz/balloons/raw/balloons.csv")
+_CITATION = """
+@misc{misc_balloons_13,
+  title        = {{Balloons}},
+  howpublished = {UCI Machine Learning Repository},
+  note         = {{DOI}: \\url{10.24432/C5BP4D}}
+}"""
+
+# Dataset info
+urls_per_split = {
+    "adult_or_stretch": {"train": "https://huggingface.co/datasets/mstz/balloons/raw/main/adult+stretch.data"},
+    "adult_and_stretch": {"train": "https://huggingface.co/datasets/mstz/balloons/raw/main/adult-stretch.data"},
+    "yellow_and_small": {"train": "https://huggingface.co/datasets/mstz/balloons/raw/main/yellow-small.data"},
+    "yellow_and_small_or_adult_and_stretch": {"train": "https://huggingface.co/datasets/mstz/balloons/raw/main/yellow-small+adult-stretch.data"}
+}
+features_types_per_config = {
+    "adult_or_stretch": {
+        "color": datasets.Value("string"),
+        "size": datasets.Value("string"),
+        "act": datasets.Value("string"),
+        "age": datasets.Value("string"),
+        "inflated": datasets.ClassLabel(num_classes=2)
+    },
+    "adult_and_stretch": {
+        "color": datasets.Value("string"),
+        "size": datasets.Value("string"),
+        "act": datasets.Value("string"),
+        "age": datasets.Value("string"),
+        "inflated": datasets.ClassLabel(num_classes=2)
+    },
+    "yellow_and_small": {
+        "color": datasets.Value("string"),
+        "size": datasets.Value("string"),
+        "act": datasets.Value("string"),
+        "age": datasets.Value("string"),
+        "inflated": datasets.ClassLabel(num_classes=2)
+    },
+    "yellow_and_small_or_adult_and_stretch": {
+        "color": datasets.Value("string"),
+        "size": datasets.Value("string"),
+        "act": datasets.Value("string"),
+        "age": datasets.Value("string"),
+        "inflated": datasets.ClassLabel(num_classes=2)
+    }
+}
+features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
+
+
+class BalloonsConfig(datasets.BuilderConfig):
+    def __init__(self, **kwargs):
+        super(BalloonsConfig, self).__init__(version=VERSION, **kwargs)
+        self.features = features_per_config[kwargs["name"]]
+
+
+class Balloons(datasets.GeneratorBasedBuilder):
+    # dataset versions
+    DEFAULT_CONFIG = "adult_or_stretch"
+    BUILDER_CONFIGS = [
+        BalloonsConfig(name="adult_or_stretch",
+                    description="Binary classification, balloons are inflated if age == adult or act == stretch."),
+        BalloonsConfig(name="adult_and_stretch",
+                    description="Binary classification, balloons are inflated if age == adult and act == stretch."),
+        BalloonsConfig(name="yellow_and_small",
+                    description="Binary classification, balloons are inflated if color == yellow and size == small."),
+        BalloonsConfig(name="yellow_and_small_or_adult_and_stretch",
+                    description="Binary classification, balloons are inflated if color == yellow and size == small or age == adult and act == stretch.")
+    ]
+
+
+    def _info(self):
+        info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
+                                    features=features_per_config[self.config.name])
+
+        return info
+    
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        downloads_per_config = {config: dl_manager.download_and_extract(urls_per_split) for config in urls_per_split}
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads_per_config[self.config.name]["train"]})
+        ]
+    
+    def _generate_examples(self, filepath: str):
+        data = pandas.read_csv(filepath, header=None)
+        data.columns = _BASE_FEATURE_NAMES
+        data.loc[:, "inflated"] = data.inflated.apply(lambda x: 1 if x == "T" else 0)
+
+        for row_id, row in data.iterrows():
+            data_row = dict(row)
+
+            yield row_id, data_row

yellow-small+adult-stretch.data

@@ -0,0 +1,16 @@
+YELLOW,SMALL,STRETCH,ADULT,T
+YELLOW,SMALL,STRETCH,CHILD,T
+YELLOW,SMALL,DIP,ADULT,T
+YELLOW,SMALL,DIP,CHILD,T
+YELLOW,LARGE,STRETCH,ADULT,T
+YELLOW,LARGE,STRETCH,CHILD,F
+YELLOW,LARGE,DIP,ADULT,F
+YELLOW,LARGE,DIP,CHILD,F
+PURPLE,SMALL,STRETCH,ADULT,T
+PURPLE,SMALL,STRETCH,CHILD,F
+PURPLE,SMALL,DIP,ADULT,F
+PURPLE,SMALL,DIP,CHILD,F
+PURPLE,LARGE,STRETCH,ADULT,T
+PURPLE,LARGE,STRETCH,CHILD,F
+PURPLE,LARGE,DIP,ADULT,F
+PURPLE,LARGE,DIP,CHILD,F

yellow-small.data

@@ -0,0 +1,20 @@
+YELLOW,SMALL,STRETCH,ADULT,T
+YELLOW,SMALL,STRETCH,CHILD,T
+YELLOW,SMALL,DIP,ADULT,T
+YELLOW,SMALL,DIP,CHILD,T
+YELLOW,SMALL,STRETCH,ADULT,T
+YELLOW,SMALL,STRETCH,CHILD,T
+YELLOW,SMALL,DIP,ADULT,T
+YELLOW,SMALL,DIP,CHILD,T
+YELLOW,LARGE,STRETCH,ADULT,F
+YELLOW,LARGE,STRETCH,CHILD,F
+YELLOW,LARGE,DIP,ADULT,F
+YELLOW,LARGE,DIP,CHILD,F
+PURPLE,SMALL,STRETCH,ADULT,F
+PURPLE,SMALL,STRETCH,CHILD,F
+PURPLE,SMALL,DIP,ADULT,F
+PURPLE,SMALL,DIP,CHILD,F
+PURPLE,LARGE,STRETCH,ADULT,F
+PURPLE,LARGE,STRETCH,CHILD,F
+PURPLE,LARGE,DIP,ADULT,F
+PURPLE,LARGE,DIP,CHILD,F