Codesota · Natural Language Processing · Question Answering · HotpotQATasks/Natural Language Processing/Question Answering
Question Answering · benchmark dataset · 2018 · EN

HotpotQA.

Multi-hop question-answering benchmark requiring reasoning across multiple Wikipedia documents.

Paper Download datasetSubmit a result
§ 01 · Leaderboard

Best published scores.

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


Primary
f1 · higher is better
f1· primary
2 rows
#ModelOrgSubmittedPaper / codef1
01GPT-4oAPIOpenAIDec 2025arxiv-paper71.30
02Claude 3.5 SonnetAPIAnthropicDec 2025arxiv-paper68.50
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 f1. 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 · f1
  1. Dec 17, 2025GPT-4oOpenAI71.30
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