Dataset · Hugging Face

TIGER-Lab/SWE-Next

Name: SWE-Next
Creator: TIGER-Lab
License: mit
Keywords: task_categories:text-generation, language:en, license:mit, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2603.20691, region:us

SWE-Next: Scalable Real-World Software Engineering Tasks for Agents SWE-Next Dataset SWE-Next is an execution-grounded dataset of 2,308 self-verifying software engineering tasks mined from real merged GitHub pull requests. Starting from 3,971 seeded Python repositories and 102,582 executed candidate base/merged commit pairs, SWE-Next retains only instances where the merged commit produces a strict test improvement without regressions. The final release… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/SWE-Next.

View on Hugging FaceReport an issue

Author / organization	TIGER-Lab
License (as declared)	mit
Downloads	870 (as reported by Hugging Face)
Likes	1
Created	2 April 2026
Last updated at source	13 April 2026

Embed this entry

<iframe src="https://silytics.si/embed/item/c9942027-a764-4c87-ae3c-7b60071681d4" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from TIGER-Lab

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.