Upload 2 files

README.md

@@ -8,12 +8,11 @@ tags:
 - multiclass_classification
 pretty_name: Musk
 size_categories:
-- 10K<n<100K
+- 100<n<1K
 task_categories:  # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
 - tabular-classification
 configs:
-- musk1
-- musk2
+- musk
 ---
 # Musk
 The [Musk dataset](https://archive.ics.uci.edu/ml/datasets/Musk) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
@@ -22,13 +21,12 @@ Census dataset including personal characteristic of a person, and their income t
 # Configurations and tasks
 | **Configuration** | **Task**                  | **Description**        |
 |-------------------|---------------------------|------------------------|
-| musk1             | Binary classification     | Is the molecule a musk?|
-| musk2             | Binary classification     | Is the molecule a musk?|
+| musk             | Binary classification     | Is the molecule a musk?|
 
 
 # Usage
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("mstz/musk", "musk1")["train"]
+dataset = load_dataset("mstz/musk", "musk")["train"]
 ```

musk.py

@@ -1,7 +1,6 @@
 """Musk: A Census Dataset"""
 
 from typing import List
-from functools import partial
 
 import datasets
 
@@ -95,84 +94,10 @@ _CITATION = """
 
 # Dataset info
 urls_per_split = {
-    "musk1": {
-        "train": "https://huggingface.co/datasets/mstz/musk/raw/main/clean1.data"
-    },
-    "musk2": {
-        "train": "https://huggingface.co/datasets/mstz/musk/raw/main/clean2.data"
-    }
+    "train": "https://huggingface.co/datasets/mstz/musk/raw/main/clean1.data"
 }
 features_types_per_config = {
-    "musk1": {
-        "ray_0": datasets.Value("float64"),
-        "ray_1": datasets.Value("float64"),
-        "ray_2": datasets.Value("float64"),
-        "ray_3": datasets.Value("float64"),
-        "ray_4": datasets.Value("float64"),
-        "ray_5": datasets.Value("float64"),
-        "ray_6": datasets.Value("float64"),
-        "ray_7": datasets.Value("float64"),
-        "ray_8": datasets.Value("float64"),
-        "ray_9": datasets.Value("float64"),
-        "ray_10": datasets.Value("float64"),
-        "ray_11": datasets.Value("float64"),
-        "ray_12": datasets.Value("float64"),
-        "ray_13": datasets.Value("float64"),
-        "ray_14": datasets.Value("float64"),
-        "ray_15": datasets.Value("float64"),
-        "ray_16": datasets.Value("float64"),
-        "ray_17": datasets.Value("float64"),
-        "ray_18": datasets.Value("float64"),
-        "ray_19": datasets.Value("float64"),
-        "ray_20": datasets.Value("float64"),
-        "ray_21": datasets.Value("float64"),
-        "ray_22": datasets.Value("float64"),
-        "ray_23": datasets.Value("float64"),
-        "ray_24": datasets.Value("float64"),
-        "ray_25": datasets.Value("float64"),
-        "ray_26": datasets.Value("float64"),
-        "ray_27": datasets.Value("float64"),
-        "ray_28": datasets.Value("float64"),
-        "ray_29": datasets.Value("float64"),
-        "ray_30": datasets.Value("float64"),
-        "ray_31": datasets.Value("float64"),
-        "ray_32": datasets.Value("float64"),
-        "ray_33": datasets.Value("float64"),
-        "ray_34": datasets.Value("float64"),
-        "ray_35": datasets.Value("float64"),
-        "ray_36": datasets.Value("float64"),
-        "ray_37": datasets.Value("float64"),
-        "ray_38": datasets.Value("float64"),
-        "ray_39": datasets.Value("float64"),
-        "ray_40": datasets.Value("float64"),
-        "ray_41": datasets.Value("float64"),
-        "ray_42": datasets.Value("float64"),
-        "ray_43": datasets.Value("float64"),
-        "ray_44": datasets.Value("float64"),
-        "ray_45": datasets.Value("float64"),
-        "ray_46": datasets.Value("float64"),
-        "ray_47": datasets.Value("float64"),
-        "ray_48": datasets.Value("float64"),
-        "ray_49": datasets.Value("float64"),
-        "ray_50": datasets.Value("float64"),
-        "ray_51": datasets.Value("float64"),
-        "ray_52": datasets.Value("float64"),
-        "ray_53": datasets.Value("float64"),
-        "ray_54": datasets.Value("float64"),
-        "ray_55": datasets.Value("float64"),
-        "ray_56": datasets.Value("float64"),
-        "ray_57": datasets.Value("float64"),
-        "ray_58": datasets.Value("float64"),
-        "ray_59": datasets.Value("float64"),
-        "ray_60": datasets.Value("float64"),
-        "ray_61": datasets.Value("float64"),
-        "oxy_distance": datasets.Value("float64"),
-        "displacement_1": datasets.Value("float64"),
-        "displacement_2": datasets.Value("float64"),
-        "displacement_3": datasets.Value("float64"),
-        "is_musk": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
-    },
-    "musk2": {
+    "musk": {
         "ray_0": datasets.Value("float64"),
         "ray_1": datasets.Value("float64"),
         "ray_2": datasets.Value("float64"),
@@ -253,12 +178,10 @@ class MuskConfig(datasets.BuilderConfig):
 
 class Musk(datasets.GeneratorBasedBuilder):
     # dataset versions
-    DEFAULT_CONFIG = "musk1"
+    DEFAULT_CONFIG = "musk"
     BUILDER_CONFIGS = [
-        MuskConfig(name="musk1",
-                    description="Musk for binary classification."),
-        MuskConfig(name="musk2",
-                    description="Musk for binary classification."),
+        MuskConfig(name="musk",
+                    description="Musk for binary classification.")
     ]
 
 
@@ -272,7 +195,7 @@ class Musk(datasets.GeneratorBasedBuilder):
         downloads = dl_manager.download_and_extract(urls_per_split)
 
         return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads[self.config.name]["train"]})
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]})
         ]
     
     def _generate_examples(self, filepath: str):