DS-FIM-Eval

DeepSeek's internal Fill-in-the-Middle evaluation dataset for measuring code completion performance improvements in data science contexts

DeepSeek-V2.5 from DeepSeek currently leads the DS-FIM-Eval leaderboard with a score of 0.783 across 1 evaluated AI models.

Paper

DeepSeekDeepSeek-V2.5 leads with 78.3%.

Progress Over Time

Interactive timeline showing model performance evolution on DS-FIM-Eval

State-of-the-art frontier
Open
Proprietary

DS-FIM-Eval Leaderboard

1 models
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1236B8K$0.14 / $0.28
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FAQ

Common questions about DS-FIM-Eval.

What is the DS-FIM-Eval benchmark?

DeepSeek's internal Fill-in-the-Middle evaluation dataset for measuring code completion performance improvements in data science contexts

What is the DS-FIM-Eval leaderboard?

The DS-FIM-Eval leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, DeepSeek-V2.5 by DeepSeek leads with a score of 0.783. The average score across all models is 0.783.

What is the highest DS-FIM-Eval score?

The highest DS-FIM-Eval score is 0.783, achieved by DeepSeek-V2.5 from DeepSeek.

How many models are evaluated on DS-FIM-Eval?

1 models have been evaluated on the DS-FIM-Eval benchmark, with 0 verified results and 1 self-reported results.

Where can I find the DS-FIM-Eval paper?

The DS-FIM-Eval paper is available at https://arxiv.org/abs/2406.11931. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does DS-FIM-Eval cover?

DS-FIM-Eval is categorized under general. The benchmark evaluates text models.

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