---
license: apache-2.0
source_datasets: yahoo_answers_topics
task_categories:
- text-classification
dataset_info:
  features:
  - name: id
    dtype: int32
  - name: topic
    dtype:
      class_label:
        names:
          '0': Society & Culture
          '1': Science & Mathematics
          '2': Health
          '3': Education & Reference
          '4': Computers & Internet
          '5': Sports
          '6': Business & Finance
          '7': Entertainment & Music
          '8': Family & Relationships
          '9': Politics & Government
  - name: question_title
    dtype: string
  - name: question_content
    dtype: string
  - name: best_answer
    dtype: string
  - name: token_count
    dtype: int64
  - name: text
    dtype: string
  - name: label
    dtype: string
  splits:
  - name: train
    num_bytes: 27806643
    num_examples: 3352
  - name: test
    num_bytes: 1097817
    num_examples: 133
  download_size: 17288090
  dataset_size: 28904460
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

# BEE-spoke-data/yahoo_answers_topics-long-text


1024 or more tokens in 'text'

```py
DatasetDict({
    train: Dataset({
        features: ['id', 'topic', 'question_title', 'question_content', 'best_answer', 'token_count', 'text'],
        num_rows: 3352
    })
    test: Dataset({
        features: ['id', 'topic', 'question_title', 'question_content', 'best_answer', 'token_count', 'text'],
        num_rows: 133
    })
}
```