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README.md
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- 10K<n<100K
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- 100K<n<1M
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dataset_info:
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- config_name: banking77
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features:
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- name: text
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- name: validation
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num_examples: 2033
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configs:
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- config_name: banking77
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data_files:
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- split: train
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- split: validation
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path: MASSIVE/validation-*.parquet
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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.
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# Example for loading the TREC dataset
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dataset = load_dataset("MothMalone/data-preprocessing-automl-benchmarks", "trec")
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```
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## Available Datasets
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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:
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- Data Quality Issue: N/A
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- Classes: 77
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- Training Samples: 7502
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- Test Samples: 500
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### financial_phrasebank
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- Description:
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- Data Quality Issue: N/A
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- Classes: 3
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- Training Samples: 1698
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- Test Samples: 0
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### MASSIVE
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- Description:
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- Data Quality Issue: N/A
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- Classes: 60
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- Training Samples: 11514
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- Validation Samples: 2033
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-
- Test Samples: 2974
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- 10K<n<100K
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- 100K<n<1M
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dataset_info:
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- config_name: twenty_newsgroups
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features:
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- name: text
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dtype: string
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- name: label
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dtype: int64
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- name: label_text
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dtype: string
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splits:
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- name: train
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num_examples: 8586
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- name: test
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num_examples: 7532
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- name: validation
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num_examples: 2828
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- config_name: banking77
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features:
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- name: text
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- name: validation
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num_examples: 2033
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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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- split: validation
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path: MASSIVE/validation-*.parquet
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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.
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# Example for loading the TREC dataset
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dataset = load_dataset("MothMalone/data-preprocessing-automl-benchmarks", "trec")
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# Example for loading the twenty_newsgroups dataset
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dataset = load_dataset("MothMalone/data-preprocessing-automl-benchmarks", "twenty_newsgroups")
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```
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## Available Datasets
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Below are the details for each dataset configuration available in this repository.
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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
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- Training Samples: 8586
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- Validation Samples: 2828
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- Test Samples: 7532
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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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- Training Samples: 7502
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- Test Samples: 500
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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
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- Training Samples: 1698
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- Test Samples: 0
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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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- Training Samples: 11514
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- Validation Samples: 2033
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- Test Samples: 2974
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