Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Fix broken links in README.md #213

Merged
merged 2 commits into from
Sep 3, 2024
Merged

Fix broken links in README.md #213

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
0cdf391
fix broken links in README.md
thaiminhpv Aug 29, 2024
7a27727
Fix merge conflict
john-b-yang Sep 3, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions docs/README_CN.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -63,8 +63,8 @@ SWE-bench 是一个用于评估大型语言模型的基准，这些模型是从
## 🍎 教程
我们还写了关于如何使用SWE-bench不同部分的博客文章。
如果您想看到关于特定主题的文章，请通过问题告诉我们。
* [Nov 1. 2023] Collecting Evaluation Tasks for SWE-Bench ([🔗](https://github.com/princeton-nlp/SWE-bench/tree/main/swebench/assets/collection.md))
* [Nov 6. 2023] Evaluating on SWE-bench ([🔗](https://github.com/princeton-nlp/SWE-bench/tree/main/swebench/harness/evaluation.md))
* [Nov 1. 2023] Collecting Evaluation Tasks for SWE-Bench ([🔗](https://github.com/princeton-nlp/SWE-bench/tree/main/assets/collection.md))
* [Nov 6. 2023] Evaluating on SWE-bench ([🔗](https://github.com/princeton-nlp/SWE-bench/tree/main/assets/evaluation.md))

## 💫 贡献
我们欢迎来自更广泛的自然语言处理、机器学习和软件工程研究社区的反馈。我们欢迎任何贡献、PR或问题!
Expand Down
4 changes: 2 additions & 2 deletions docs/README_JP.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -65,8 +65,8 @@ SWE-Bench を使用するには、以下のことができます:
## 🍎 チュートリアル
SWE-benchの様々な部分の使い方についても、以下のブログ記事を書いています。
特定のトピックについての投稿を見たい場合は、issueでお知らせください。
* [2023年11月1日] SWE-Benchの評価タスクの収集について ([🔗](https://github.com/princeton-nlp/SWE-bench/tree/main/swebench/assets/collection.md))
* [2023年11月6日] SWE-benchでの評価について ([🔗](https://github.com/princeton-nlp/SWE-bench/tree/main/swebench/harness/evaluation.md))
* [2023年11月1日] SWE-Benchの評価タスクの収集について ([🔗](https://github.com/princeton-nlp/SWE-bench/tree/main/assets/collection.md))
* [2023年11月6日] SWE-benchでの評価について ([🔗](https://github.com/princeton-nlp/SWE-bench/tree/main/assets/evaluation.md))

## 💫 貢献
NLP、機械学習、ソフトウェア工学の研究コミュニティからのフィードバックを歓迎します。貢献、プルリクエスト、issueを歓迎します!
Expand Down
4 changes: 2 additions & 2 deletions docs/README_TW.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -63,8 +63,8 @@ SWE-bench 是一個用於評估大型語言模型的基準，這些模型是從
## 🍎 教程
我們還撰寫了以下有關如何使用SWE-bench不同部分的博客文章。
如果您想看到有關特定主題的文章，請通過問題告訴我們。
* [Nov 1. 2023] Collecting Evaluation Tasks for SWE-Bench ([🔗](https://github.com/princeton-nlp/SWE-bench/tree/main/swebench/assets/collection.md))
* [Nov 6. 2023] Evaluating on SWE-bench ([🔗](https://github.com/princeton-nlp/SWE-bench/tree/main/swebench/harness/evaluation.md))
* [Nov 1. 2023] Collecting Evaluation Tasks for SWE-Bench ([🔗](https://github.com/princeton-nlp/SWE-bench/tree/main/assets/collection.md))
* [Nov 6. 2023] Evaluating on SWE-bench ([🔗](https://github.com/princeton-nlp/SWE-bench/tree/main/assets/evaluation.md))

## 💫 貢獻
我們很樂意聽取來自更廣泛的 NLP、機器學習和軟體工程研究社區的意見，並歡迎任何貢獻、拉取請求或問題！
Expand Down
2 changes: 1 addition & 1 deletion swebench/collect/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
# Data Collection
This folder includes the code for the first two parts of the benchmark construction procedure as described in the paper, specifically 1. Repo selection and data scraping, and 2. Attribute-based filtering.

We include a comprehensive [tutorial](https://github.com/princeton-nlp/SWE-bench/tree/main/swebench/assets/collection.md) that describes the end-to-end procedure for collecting evaluation task instances from PyPI repositories.
We include a comprehensive [tutorial](https://github.com/princeton-nlp/SWE-bench/tree/main/assets/collection.md) that describes the end-to-end procedure for collecting evaluation task instances from PyPI repositories.

> SWE-bench's collection pipeline is currently designed to target PyPI packages. We hope to expand SWE-bench to more repositories and languages in the future.

Expand Down
Loading