Table · dataset · 2023
princeton-nlp/SWE-bench
Listed in Hugging Face Datasets
Dataset
Description
Summary
SWE-bench is a dataset that tests systems’ ability to solve GitHub issues automatically. The dataset collects 2,294 Issue-Pull Request pairs from 12 popular Python repositories. Evaluation is performed by unit test verification using post-PR behavior as the reference solution.
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The dataset was released as part of SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Want to run inference now? This dataset only contains the problem_statement… See the full description on the dataset page: huggingface.co/datasets/princeton-nlp/SWE-bench.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/princeton-nlp/SWE-bench ↗
landing page · from Hugging Face
Documentation and papers
- arXiv:2310.06770 arxiv.org/abs/2310.06770 ↗
publication · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/princeton-nlp/SWE-bench ↗
metadata API · from Hugging Face
Topics
- Stated by source
- text
- From keywords
- Computer Science & AI
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | princeton-nlp/SWE-bench | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].hf_modality:text | source · Hugging Face | connector:huggingface@1.0.0 | |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |