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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