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README.md
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---
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license: apache-2.0
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task_categories:
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language:
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tags:
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size_categories:
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configs:
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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.
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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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### 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:
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- Data Quality Issue: N/A
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- Classes: 3
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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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- Data Quality Issue: N/A
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- Classes: 20
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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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dataset_info:
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- config_name: banking77
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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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splits:
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- name: train
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num_examples: 7502
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- name: test
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num_examples: 3080
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- name: validation
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num_examples: 2501
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- config_name: trec
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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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splits:
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- name: train
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num_examples: 4089
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- name: test
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num_examples: 500
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- name: validation
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num_examples: 1363
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- config_name: financial_phrasebank
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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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splits:
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- name: train
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num_examples: 1358
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- name: test
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num_examples: 453
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- name: validation
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num_examples: 453
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- config_name: MASSIVE
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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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splits:
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- name: train
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num_examples: 11514
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- name: test
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num_examples: 2974
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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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path: banking77/train.csv
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- split: test
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path: banking77/test.csv
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- split: validation
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path: banking77/validation.csv
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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.csv
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- split: test
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path: trec/test.csv
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- split: validation
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path: trec/validation.csv
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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.csv
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- split: test
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path: financial_phrasebank/test.csv
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- split: validation
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path: financial_phrasebank/validation.csv
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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.csv
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- split: test
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path: MASSIVE/test.csv
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- split: validation
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path: MASSIVE/validation.csv
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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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Below are the details for each dataset configuration available in this repository.
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### banking77
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- Description: N/A
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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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+
- Validation Samples: 2501
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+
- Test Samples: 3080
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### 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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+
- Training Samples: 4089
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+
- Validation Samples: 1363
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- Test Samples: 500
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### financial_phrasebank
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- Description: The key arguments for the low utilization of statistical techniques in
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- Data Quality Issue: N/A
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- Classes: 3
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+
- Training Samples: 1358
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+
- Validation Samples: 453
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- Test Samples: 453
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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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