Datasets:
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license: cc-by-nc-nd-4.0
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license: cc-by-nc-nd-4.0
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task_categories:
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- text-generation
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tags:
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- code
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- NLP
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- Bug Fixing
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- Machine Learning
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- Automated Code Review
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- Programming languages
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- code completion
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size_categories:
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- 1K<n<10K
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# SWE-Bench Dataset - 8,712 files
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The dataset comprises **8,712** files across **6** programming languages, featuring **verified tasks** and benchmarks for evaluating **coding agents** and **language models**. It supports **coding agents**, **language models**, and developer tools with **verified benchmark scores** and **multi-language test sets**. - **[Get the data](https://unidata.pro/datasets/swe-bench-coding-tasks/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=swe-bench-coding-tasks)**
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## Dataset characteristics:
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| Characteristic | Data |
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|-------------------------|----------------------------------------------------------------------|
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| Description | An extended benchmark of real-world software engineering tasks with enhanced artifacts and broader language coverage |
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| Data types | Text |
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| Tasks | Bug fixing, code completion, pull request generation, automated code review |
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| Total number of files | 8,712 |
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| Total number of people | 30 |
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| Labeling | Annotated with golden patches, test patches, post-patch reference states, and metadata stored in parquet files (e.g., repository name, issue/PR identifier, diffs, test results) |
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| Programming languages | C#, Go, PHP, Rust, Kotlin, Ruby |
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### 📊 Sample dataset available! For full access, [contact us](https://unidata.pro/datasets/swe-bench-coding-tasks/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=swe-bench-coding-tasks) to discuss purchase terms.
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## Dataset structure
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- Go - Files in Go
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- Scala - Files in Scala
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### 🧩 Like the dataset but need different data? We can collect a custom dataset just for you - learn more about our data collection services [here](https://unidata.pro/datasets/swe-bench-coding-tasks/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=swe-bench-coding-tasks)
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## Similar Datasets:
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1. [LLM Text Generation Dataset](https://unidata.pro/datasets/llm-text-generation/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=swe-bench-coding-tasks)
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2. [Synthetic Printed USA Passports Dataset](https://unidata.pro/datasets/synthetic-printed-usa-passports-dataset/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=swe-bench-coding-tasks)
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3. [DeepFake Videos Dataset](https://unidata.pro/datasets/deepfake-videos-dataset/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=swe-bench-coding-tasks)
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## 🌐 [UniData](https://unidata.pro/datasets/swe-bench-coding-tasks/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=swe-bench-coding-tasks) - your trusted data partner. Unique, accurate, thoroughly collected and annotated data designed to fuel your AI/ML success.
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