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  ---
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  license: apache-2.0
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  task_categories:
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- - text-classification
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  language:
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- - en
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  tags:
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- - data-preprocessing
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- - automl
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- - benchmarks
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  size_categories:
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- - n<1K
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- - 1K<n<10K
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- - 10K<n<100K
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- - 100K<n<1M
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  configs:
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- - config_name: twenty_newsgroups
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- data_files:
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- - split: train
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- path: twenty_newsgroups/train.csv
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- - split: test
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- path: twenty_newsgroups/test.csv
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- - split: validation
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- path: twenty_newsgroups/validation.csv
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- - config_name: banking77
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- data_files:
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- - split: train
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- path: banking77/train-*.parquet
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- - split: test
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- path: banking77/test-*.parquet
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- - split: validation
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- path: banking77/validation-*.parquet
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- - config_name: trec
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- data_files:
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- - split: train
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- path: trec/train-*.parquet
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- - split: test
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- path: trec/test-*.parquet
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- - split: validation
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- path: trec/validation-*.parquet
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- - config_name: financial_phrasebank
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- data_files:
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- - split: train
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- path: financial_phrasebank/train-*.parquet
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- - split: test
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- path: financial_phrasebank/test-*.parquet
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- - split: validation
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- path: financial_phrasebank/validation-*.parquet
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- - config_name: MASSIVE
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- data_files:
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- - split: train
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- path: MASSIVE/train-*.parquet
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- - split: test
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- path: MASSIVE/test-*.parquet
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- - split: validation
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- path: MASSIVE/validation-*.parquet
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  ---
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-
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  # Data Preprocessing AutoML Benchmarks
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  This repository contains text classification datasets with known data quality issues for preprocessing research in AutoML.
@@ -76,26 +120,33 @@ dataset = load_dataset("MothMalone/data-preprocessing-automl-benchmarks", "trec"
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  Below are the details for each dataset configuration available in this repository.
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  ### banking77
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- - Description: Dataset of online banking queries annotated with their corresponding intents.
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  - Data Quality Issue: N/A
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  - Classes: 77
 
 
 
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83
  ### trec
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  - Description: The Text REtrieval Conference (TREC) Question Classification dataset contains 5500 labeled questions in training set and another 500 for test set.
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  - Data Quality Issue: N/A
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  - Classes: 6
 
 
 
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  ### financial_phrasebank
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- - Description: Financial sentiment analysis dataset with phrases from financial news.
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  - Data Quality Issue: N/A
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  - Classes: 3
 
 
 
92
 
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  ### MASSIVE
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- - Description: Multilingual Amazon Slurp Synthetic Intent and Voice Evaluation dataset.
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  - Data Quality Issue: N/A
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  - Classes: 60
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-
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- ### twenty_newsgroups
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- - Description: The 20 Newsgroups dataset is a collection of approximately 20,000 newsgroup documents, partitioned across 20 different newsgroups.
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- - Data Quality Issue: N/A
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- - Classes: 20
 
1
  ---
2
  license: apache-2.0
3
  task_categories:
4
+ - text-classification
5
  language:
6
+ - en
7
  tags:
8
+ - data-preprocessing
9
+ - automl
10
+ - benchmarks
11
  size_categories:
12
+ - n<1K
13
+ - 1K<n<10K
14
+ - 10K<n<100K
15
+ - 100K<n<1M
16
+ dataset_info:
17
+ - config_name: banking77
18
+ features:
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+ - name: text
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+ dtype: string
21
+ - name: label
22
+ dtype: int64
23
+ splits:
24
+ - name: train
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+ num_examples: 7502
26
+ - name: test
27
+ num_examples: 3080
28
+ - name: validation
29
+ num_examples: 2501
30
+ - config_name: trec
31
+ features:
32
+ - name: text
33
+ dtype: string
34
+ - name: label
35
+ dtype: int64
36
+ splits:
37
+ - name: train
38
+ num_examples: 4089
39
+ - name: test
40
+ num_examples: 500
41
+ - name: validation
42
+ num_examples: 1363
43
+ - config_name: financial_phrasebank
44
+ features:
45
+ - name: text
46
+ dtype: string
47
+ - name: label
48
+ dtype: int64
49
+ splits:
50
+ - name: train
51
+ num_examples: 1358
52
+ - name: test
53
+ num_examples: 453
54
+ - name: validation
55
+ num_examples: 453
56
+ - config_name: MASSIVE
57
+ features:
58
+ - name: text
59
+ dtype: string
60
+ - name: label
61
+ dtype: int64
62
+ splits:
63
+ - name: train
64
+ num_examples: 11514
65
+ - name: test
66
+ num_examples: 2974
67
+ - name: validation
68
+ num_examples: 2033
69
  configs:
70
+ - config_name: banking77
71
+ data_files:
72
+ - split: train
73
+ path: banking77/train.csv
74
+ - split: test
75
+ path: banking77/test.csv
76
+ - split: validation
77
+ path: banking77/validation.csv
78
+ - config_name: trec
79
+ data_files:
80
+ - split: train
81
+ path: trec/train.csv
82
+ - split: test
83
+ path: trec/test.csv
84
+ - split: validation
85
+ path: trec/validation.csv
86
+ - config_name: financial_phrasebank
87
+ data_files:
88
+ - split: train
89
+ path: financial_phrasebank/train.csv
90
+ - split: test
91
+ path: financial_phrasebank/test.csv
92
+ - split: validation
93
+ path: financial_phrasebank/validation.csv
94
+ - config_name: MASSIVE
95
+ data_files:
96
+ - split: train
97
+ path: MASSIVE/train.csv
98
+ - split: test
99
+ path: MASSIVE/test.csv
100
+ - split: validation
101
+ path: MASSIVE/validation.csv
 
 
 
 
 
 
 
 
102
  ---
 
103
  # Data Preprocessing AutoML Benchmarks
104
 
105
  This repository contains text classification datasets with known data quality issues for preprocessing research in AutoML.
 
120
  Below are the details for each dataset configuration available in this repository.
121
 
122
  ### banking77
123
+ - Description: N/A
124
  - Data Quality Issue: N/A
125
  - Classes: 77
126
+ - Training Samples: 7502
127
+ - Validation Samples: 2501
128
+ - Test Samples: 3080
129
 
130
  ### trec
131
  - Description: The Text REtrieval Conference (TREC) Question Classification dataset contains 5500 labeled questions in training set and another 500 for test set.
132
  - Data Quality Issue: N/A
133
  - Classes: 6
134
+ - Training Samples: 4089
135
+ - Validation Samples: 1363
136
+ - Test Samples: 500
137
 
138
  ### financial_phrasebank
139
+ - Description: The key arguments for the low utilization of statistical techniques in
140
  - Data Quality Issue: N/A
141
  - Classes: 3
142
+ - Training Samples: 1358
143
+ - Validation Samples: 453
144
+ - Test Samples: 453
145
 
146
  ### MASSIVE
147
+ - Description:
148
  - Data Quality Issue: N/A
149
  - Classes: 60
150
+ - Training Samples: 11514
151
+ - Validation Samples: 2033
152
+ - Test Samples: 2974