# xlang-ai/DS-1000

<https://repo.masters-masters.com/en/repos/xlang-ai/DS-1000>

[Home](https://repo.masters-masters.com/en) › [xlang-ai](https://repo.masters-masters.com/en/owners/xlang-ai) › [DS-1000](https://repo.masters-masters.com/en/repos/xlang-ai/DS-1000)

xlang-ai/DS-1000 has 278 stars on GitHub. Its RepoMasters card: Alpha tier. \[ICML 2023\] Data and code release for the paper "DS-1000: A Natural and Reliable…

| Field | Value |
| --- | --- |
| Owner | [xlang-ai](https://repo.masters-masters.com/en/owners/xlang-ai) |
| Stars | 278 |
| Forks | 31 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | CC-BY-SA-4.0 |
| Created | 2022 |
| Topics | code-generation, data-science, semantic-parsing, large-language-models, benchmark |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [xlang-ai/DS-1000](https://github.com/xlang-ai/DS-1000) |

## Repository

\[ICML 2023\] Data and code release for the paper "DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation".

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
