Codesota · Reasoning · Commonsense Reasoning · HellaSwagTasks/Reasoning/Commonsense Reasoning
Commonsense Reasoning · benchmark dataset · 2019 · EN

HellaSwag.

70K sentence completion problems testing commonsense natural language inference.

Paper ↗Download datasetSubmit a result ↵
§ 01 · Leaderboard

Best published scores.

5 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.

Primary
accuracy · higher is better
accuracy· primary
5 rows
#ModelOrgSubmittedPaper / codeaccuracy
01GPT-4oAPIOpenAIDec 2025openai-blog95.30
02Gemini 1.5 ProAPIGoogleDec 2025google-blog92.50
03Claude 3.5 SonnetAPIAnthropicDec 2025anthropic-blog89
04Llama 3.1 405BOSSMetaMar 2026meta-modelcard89
05Llama 3 70BOSSMetaDec 2025meta-blog88
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 03 · Progress

1 steps
of state of the art.

Each row below marks a model that broke the previous record on accuracy. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.

Higher scores win. Each subsequent entry improved upon the previous best.

SOTA line · accuracy
  1. Dec 17, 2025GPT-4oOpenAI95.30
Fig 3 · SOTA-setting models only. 1 entries span Dec 2025 → Dec 2025.
§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result ↵Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies