README.md

---
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:

```python
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