Dataset Card for "Yahoo Answers Topics"

Dataset Description

Dataset Summary

• annotations_creators: found
• language_creators: found
• language: en
• license: unknown
• multilinguality: monolingual
• size_categories: 1M<n<10M
• source_datasets: extended|other-yahoo-answers-corpus
• task_categories: text-classification
• task_ids: topic-classification
• pretty_name: YahooAnswersTopics

Dataset Structure

Data Fields

• id: int32
• topic: 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
• question_title: string
• question_content: string
• best_answer: string

Data Splits

• train:
  • num_bytes: 760285695
  • num_examples: 1400000
• test:
  • num_bytes: 32653862
  • num_examples: 60000

Dataset Creation

Dataset Information

• config_name: yahoo_answers_topics
• download_size: 533429663
• dataset_size: 792939557

Configuration

• config_name: yahoo_answers_topics
  • data_files:
    • split: train path: yahoo_answers_topics/train-*
    • split: test path: yahoo_answers_topics/test-*
  • default: true

Training‑Evaluation Index

• config: yahoo_answers_topics
  • task: text-classification
  • task_id: multi_class_classification
  • splits:
    • train_split: train
    • eval_split: test
  • col_mapping:
    • question_content: text
    • topic: target
  • metrics:
    • type: accuracy name: Accuracy
    • type: f1 name: F1 macro args: average: macro
    • type: f1 name: F1 micro args: average: micro
    • type: f1 name: F1 weighted args: average: weighted
    • type: precision name: Precision macro args: average: macro
    • type: precision name: Precision micro args: average: micro
    • type: precision name: Precision weighted args: average: weighted
    • type: recall name: Recall macro args: average: macro
    • type: recall name: Recall micro args: average: micro
    • type: recall name: Recall weighted args: average: weighted