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README (3).md
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---
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license: mit
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task_categories:
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- text-generation
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- question-answering
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- image-text-to-text
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language:
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- en
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tags:
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- DeepSWE
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- code
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- coding
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- programming
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- SWE
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- SWE-bench
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- py
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- js
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- ts
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- java
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- cpp
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- rust
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- rs
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- go
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- reasoning
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- reason
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- SWE-smith
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- gym
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- agentic
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- agent
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- english
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- software-engineering
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- long-context
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- code-generation
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- repository-level
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- multi-file
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- fine-tuning
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- sft
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- benchmark
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size_categories:
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- 10K<n<100K
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---
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# Dataset Description
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This dataset is a heavily filtered version of all the SWE-bench/SWE-smith-lang datasets (expect php) merged together (originally 88,118 rows total), it aims to improve benchmark results on DeepSWE-style problems, benchmarks, and general coding skills.
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It is specifically filtered for rows with complex/long code problems in the original datasets, having an average row size of around 94 to 95kb and a total uncompressed size of 6.12GB.
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### Dataset Details
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- **Curated by:** MoreThought
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- **Funded by:** MoreThought
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- **Shared by:** MoreThought
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- **License:** MIT
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### Dataset Sources
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- **Repositorys:**
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- https://huggingface.co/datasets/SWE-bench/SWE-smith-py
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- https://huggingface.co/datasets/SWE-bench/SWE-smith-go
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- https://huggingface.co/datasets/SWE-bench/SWE-smith-rs
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- https://huggingface.co/datasets/SWE-bench/SWE-smith-ts
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- https://huggingface.co/datasets/SWE-bench/SWE-smith-js
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- https://huggingface.co/datasets/SWE-bench/SWE-smith-cpp
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- https://huggingface.co/datasets/SWE-bench/SWE-smith-java
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-
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- **Paper:**
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- https://huggingface.co/papers/2504.21798
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## Uses
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- Improving benchmark results
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- Improving general coding capabilities
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- Training software engineering/coding agents
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- Improving long-context coding
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