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Datasets:
mstz
/
planning

Tasks:
Tabular Classification
Modalities:
Tabular
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
tabular_classification
binary_classification
multiclass_classification
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
mstz commited on
Commit
4a1fad0
·
1 Parent(s): 6ccd5e1

updated to datasets 4.*

Browse files
Files changed (4) hide show
  1. README.md +11 -10
  2. planning.py +0 -96
  3. planning/train.csv +183 -0
  4. plrx.csv +0 -183
README.md CHANGED
@@ -1,19 +1,20 @@
1
  ---
2
- language:
3
- - en
 
 
 
 
 
 
 
 
4
  tags:
5
- - planning
6
  - tabular_classification
7
  - binary_classification
8
- - UCI
9
- pretty_name: Planning
10
- size_categories:
11
- - n<1K
12
  task_categories:
13
  - tabular-classification
14
- configs:
15
- - planning
16
- license: cc
17
  ---
18
  # Planning
19
  The [Planning dataset](https://archive.ics.uci.edu/ml/datasets/Planning) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
 
1
  ---
2
+ configs:
3
+ - config_name: planning
4
+ data_files:
5
+ - path: planning/train.csv
6
+ split: train
7
+ default: true
8
+ language: en
9
+ license: cc
10
+ pretty_name: Planning
11
+ size_categories: 1M<n<10M
12
  tags:
 
13
  - tabular_classification
14
  - binary_classification
15
+ - multiclass_classification
 
 
 
16
  task_categories:
17
  - tabular-classification
 
 
 
18
  ---
19
  # Planning
20
  The [Planning dataset](https://archive.ics.uci.edu/ml/datasets/Planning) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
planning.py DELETED
@@ -1,96 +0,0 @@
1
- """Planning: A Census Dataset"""
2
-
3
- from typing import List
4
-
5
- import datasets
6
-
7
- import pandas
8
-
9
-
10
- VERSION = datasets.Version("1.0.0")
11
- _BASE_FEATURE_NAMES = [
12
- "V1",
13
- "V2",
14
- "V3",
15
- "V4",
16
- "V5",
17
- "V6",
18
- "V7",
19
- "V8",
20
- "V9",
21
- "V10",
22
- "V11",
23
- "V12",
24
- "class"
25
- ]
26
-
27
- DESCRIPTION = "Planning dataset from the UCI ML repository."
28
- _HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Planning"
29
- _URLS = ("https://archive.ics.uci.edu/ml/datasets/Planning")
30
- _CITATION = """
31
- @misc{misc_planning_relax_230,
32
- author = {Bhatt,Rajen},
33
- title = {{Planning Relax}},
34
- year = {2012},
35
- howpublished = {UCI Machine Learning Repository},
36
- note = {{DOI}: \\url{10.24432/C5T023}}
37
- }"""
38
-
39
- # Dataset info
40
- urls_per_split = {
41
- "planning": {"train": "https://huggingface.co/datasets/mstz/planning/raw/main/plrx.csv"}
42
- }
43
- features_types_per_config = {
44
- "planning": {
45
- "V1": datasets.Value("float64"),
46
- "V2": datasets.Value("float64"),
47
- "V3": datasets.Value("float64"),
48
- "V4": datasets.Value("float64"),
49
- "V5": datasets.Value("float64"),
50
- "V6": datasets.Value("float64"),
51
- "V7": datasets.Value("float64"),
52
- "V8": datasets.Value("float64"),
53
- "V9": datasets.Value("float64"),
54
- "V10": datasets.Value("float64"),
55
- "V11": datasets.Value("float64"),
56
- "V12": datasets.Value("float64"),
57
- "class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
58
- }
59
- }
60
- features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
61
-
62
-
63
- class PlanningConfig(datasets.BuilderConfig):
64
- def __init__(self, **kwargs):
65
- super(PlanningConfig, self).__init__(version=VERSION, **kwargs)
66
- self.features = features_per_config[kwargs["name"]]
67
-
68
-
69
- class Planning(datasets.GeneratorBasedBuilder):
70
- # dataset versions
71
- DEFAULT_CONFIG = "planning"
72
- BUILDER_CONFIGS = [
73
- PlanningConfig(name="planning",
74
- description="Planning for binary classification.")
75
- ]
76
-
77
- def _info(self):
78
- info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
79
- features=features_per_config[self.config.name])
80
-
81
- return info
82
-
83
- def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
84
- downloads = dl_manager.download_and_extract(urls_per_split)
85
-
86
- return [
87
- datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads[self.config.name]["train"]})
88
- ]
89
-
90
- def _generate_examples(self, filepath: str):
91
- data = pandas.read_csv(filepath)
92
-
93
- for row_id, row in data.iterrows():
94
- data_row = dict(row)
95
-
96
- yield row_id, data_row
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
planning/train.csv ADDED
@@ -0,0 +1,183 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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