README.md

metadata

license: mit
task_categories:
  - text-generation
  - question-answering
  - image-text-to-text
language:
  - en
tags:
  - DeepSWE
  - code
  - coding
  - programming
  - SWE
  - SWE-bench
  - py
  - js
  - ts
  - java
  - cpp
  - rust
  - rs
  - go
  - reasoning
  - reason
  - SWE-smith
  - gym
  - agentic
  - agent
  - english
  - software-engineering
  - long-context
  - code-generation
  - repository-level
  - multi-file
  - fine-tuning
  - sft
  - benchmark
size_categories:
  - 10K<n<100K

Dataset Description

This dataset is a heavily filtered version of all the SWE-bench/SWE-smith-lang datasets (expect php) merged together (originally 88k rows total), it aims to improve benchmark results on DeepSWE-style problems, benchmarks, and general coding skills.

It is specifically filtered for rows with complex/long code problems in the original datasets, having an average row size of 94.41kb, a total uncompressed size of 6.12GB, and a total of 64821 examples.

Dataset Details

• Curated by: MoreThought
• Funded by: MoreThought
• Shared by: MoreThought
• License: MIT

Dataset Sources

• Repositorys:
• https://huggingface.co/datasets/SWE-bench/SWE-smith-py
• https://huggingface.co/datasets/SWE-bench/SWE-smith-go
• https://huggingface.co/datasets/SWE-bench/SWE-smith-rs
• https://huggingface.co/datasets/SWE-bench/SWE-smith-ts
• https://huggingface.co/datasets/SWE-bench/SWE-smith-js
• https://huggingface.co/datasets/SWE-bench/SWE-smith-cpp
• https://huggingface.co/datasets/SWE-bench/SWE-smith-java
• Paper:
• https://huggingface.co/papers/2504.21798

Uses

• Improving benchmark results

• Improving general coding capabilities

• Training software engineering/coding agents

• Improving long-context coding