task_categories:text-classification size_categories:1K<n<10K language:en license:apache-2.0 region:us
---
license: apache-2.0
size_categories:
- 1K<n<10K
task_categories:
- text-classification
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: text
    dtype: string
  - name: labels
    sequence: int64
  splits:
  - name: train
    num_bytes: 10816829
    num_examples: 6988
  - name: validation
    num_bytes: 1178067
    num_examples: 781
  - name: test
    num_bytes: 4513694
    num_examples: 3019
  download_size: 5088303
  dataset_size: 16508590
language:
- en
---

Dataset from [Kaggle](https://www.kaggle.com/datasets/nltkdata/reuters/code)

The split is done on the training set using ```iterative_train_test_split``` from [scikit-multilearn](http://scikit.ml/index.html)

There are the following 90 labels.

'interest',

 'groundnut-oil',
 
 'potato',
 
 'palmkernel',
 
 'sun-meal',
 
 'lei',
 
 'cotton-oil',
 
 'sunseed',
 
 'sorghum',
 
 'barley',
 
 'dlr',
 
 'groundnut',
 
 'wpi',
 
 'strategic-metal',
 
 'livestock',
 
 'l-cattle',
 
 'lin-oil',
 
 'gold',
 
 'fuel',
 
 'nzdlr',
 
 'oat',
 
 'soybean',
 
 'hog',
 
 'tin',
 
 'lumber',
 
 'bop',
 
 'soy-oil',
 
 'dfl',
 
 'nkr',
 
 'gas',
 
 'carcass',
 
 'silver',
 
 'coffee',
 
 'gnp',
 
 'crude',
 
 'rapeseed',
 
 'alum',
 
 'copper',
 
 'housing',
 
 'grain',
 
 'cocoa',
 
 'sun-oil',
 
 'rice',
 
 'jobs',
 
 'rubber',
 
 'jet',
 
 'tea',
 
 'retail',
 
 'ship',
 
 'corn',
 
 'meal-feed',
 
 'naphtha',
 
 'sugar',
 
 'rand',
 
 'platinum',
 
 'money-supply',
 
 'yen',
 
 'nickel',
 
 'income',
 
 'cpu',
 
 'copra-cake',
 
 'instal-debt',
 
 'coconut-oil',
 
 'cotton',
 
 'rye',
 
 'palm-oil',
 
 'acq',
 
 'wheat',
 
 'propane',
 
 'dmk',
 
 'reserves',
 
 'rape-oil',
 
 'money-fx',
 
 'heat',
 
 'ipi',
 
 'castor-oil',
 
 'earn',
 
 'iron-steel',
 
 'palladium',
 
 'coconut',
 
 'veg-oil',
 
 
 'nat-gas',
 
 'pet-chem',
 
 'lead',
 
 'trade',
 
 'cpi',
 
 'oilseed',
 
 'zinc',
 
 'soy-meal',
 
 'orange'