DS-1000
Introduced by Lai et al. in DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
DS-1000 is a code generation benchmark with a thousand data science questions spanning seven Python libraries that (1) reflects diverse, realistic, and practical use cases, (2) has a reliable metric, (3) defends against memorization by perturbing questions.
Source: DS-1000: A Natural and Reliable Benchmark for Data Science Code GenerationPapers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
