README.md

metadata

dataset_info:
  features:
    - name: text
      dtype: string
    - name: labels
      sequence: int64
  splits:
    - name: train
      num_bytes: 5011317.077050539
      num_examples: 22208
    - name: test
      num_bytes: 1253054.9229494615
      num_examples: 5553
  download_size: 2405205
  dataset_size: 6264372
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
license: mit
task_categories:
  - text-classification
task_ids:
  - multi-label-classification
language:
  - en
tags:
  - mtg
  - multilabel
  - magic
pretty_name: Magic the Gathering Color Identity Multilabel Classification
size_categories:
  - 10K<n<100K

This dataset was made specifically for multilabel classification using the following process:

1. Downloading https://mtgjson.com/api/v5/AtomicCards.json.bz2 on January 10, 2024
2. Encoding color identity of each card into the labels feature

colors = ['B', 'G', 'R', 'U', 'W']
b = [1, 0, 0, 0, 0]
bw = [1, 0, 0, 0, 1]
gru = [0, 1, 1, 1, 0]
# and so on

3. Concatenating card name and card text into the text feature
4. split = ds['train'].train_test_split(test_size=0.2)
5. split.push_to_hub("mtg-coloridentity-multilabel-classification")