https://github.com/rowanz/swagaf

Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"
https://github.com/rowanz/swagaf

emnlp-2018 grounded-language-learning natural-language-inference natural-language-processing

Last synced: 7 months ago
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Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"

• Host: GitHub
• URL: https://github.com/rowanz/swagaf
• Owner: rowanz
• License: mit
• Created: 2018-07-16T20:59:18.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2020-08-14T17:28:12.000Z (over 5 years ago)
• Last Synced: 2024-08-13T03:06:22.277Z (over 1 year ago)
• Topics: emnlp-2018, grounded-language-learning, natural-language-inference, natural-language-processing
• Language: Python
• Homepage: http://rowanzellers.com/swag/
• Size: 14.5 MB
• Stars: 180
• Watchers: 9
• Forks: 40
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-llm-eval - link
• text_mining_resources - SWAG - scale dataset created for Natural Language Inference (NLI) with common-sense reasoning. (Datasets / Knowledge Graphs)