metadata
license: apache-2.0
task_categories:
- text-classification
language:
- en
tags:
- data-preprocessing
- automl
- benchmarks
size_categories:
- n<1K
- 1K<n<10K
- 10K<n<100K
- 100K<n<1M
dataset_info:
- config_name: MASSIVE
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_examples: 11514
- name: test
num_examples: 2974
- name: validation
num_examples: 2033
- config_name: banking77
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 535404
num_examples: 7502
- name: test
num_bytes: 204010
num_examples: 3080
- name: validation
num_bytes: 179624
num_examples: 2501
download_size: 452800
dataset_size: 919038
- config_name: financial_phrasebank
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_examples: 1698
- name: test
num_examples: 0
- name: validation
num_examples: 566
- config_name: trec
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 255609
num_examples: 4089
- name: test
num_bytes: 23979
num_examples: 500
- name: validation
num_bytes: 85861
num_examples: 1363
download_size: 219283
dataset_size: 365449
configs:
- config_name: MASSIVE
data_files:
- split: train
path: data/MASSIVE-train.parquet
- split: test
path: data/MASSIVE-test.parquet
- split: validation
path: data/MASSIVE-validation.parquet
- config_name: banking77
data_files:
- split: train
path: banking77/train-*
- split: test
path: banking77/test-*
- split: validation
path: banking77/validation-*
- config_name: financial_phrasebank
data_files:
- split: train
path: data/financial_phrasebank-train.parquet
- split: test
path: data/financial_phrasebank-test.parquet
- split: validation
path: data/financial_phrasebank-validation.parquet
- config_name: trec
data_files:
- split: train
path: trec/train-*
- split: test
path: trec/test-*
- split: validation
path: trec/validation-*
Data Preprocessing AutoML Benchmarks
This repository contains text classification datasets with known data quality issues for preprocessing research in AutoML.
Usage
Load a specific dataset configuration like this:
from datasets import load_dataset
# Example for loading the TREC dataset
dataset = load_dataset("MothMalone/data-preprocessing-automl-benchmarks", "trec")
Available Datasets
Below are the details for each dataset configuration available in this repository.
banking77
- Description:
- Data Quality Issue: N/A
- Classes: 77
- Training Samples: 7502
- Validation Samples: 2501
- Test Samples: 3080
trec
- Description: The Text REtrieval Conference (TREC) Question Classification dataset contains 5500 labeled questions in training set and another 500 for test set.
- Data Quality Issue: N/A
- Classes: 6
- Training Samples: 4089
- Validation Samples: 1363
- Test Samples: 500
financial_phrasebank
- Description: The key arguments for the low utilization of statistical techniques in
- Data Quality Issue: N/A
- Classes: 3
- Training Samples: 1698
- Validation Samples: 566
- Test Samples: 0
MASSIVE
- Description:
- Data Quality Issue: N/A
- Classes: 60
- Training Samples: 11514
- Validation Samples: 2033
- Test Samples: 2974