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struct:
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- name: difficulty_score
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dtype: int64
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- name: issue_text_score
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dtype: int64
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- name: test_score
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dtype: int64
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- name: num_modified_files
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dtype: int64
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- name: version
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dtype: string
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- name: install_config
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struct:
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- name: env_vars
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struct:
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- name: JUPYTER_PLATFORM_DIRS
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dtype: string
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- name: env_yml_path
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sequence: string
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- name: install
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dtype: string
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- name: log_parser
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dtype: string
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- name: no_use_env
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dtype: bool
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- name: packages
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dtype: string
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- name: pip_packages
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sequence: string
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- name: pre_install
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sequence: string
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- name: python
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dtype: string
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- name: reqs_path
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sequence: string
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- name: test_cmd
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dtype: string
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- name: requirements
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dtype: string
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- name: environment
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dtype: string
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- name: FAIL_TO_PASS
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sequence: string
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- name: FAIL_TO_FAIL
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sequence: string
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- name: PASS_TO_PASS
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sequence: string
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- name: PASS_TO_FAIL
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sequence: string
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- name: license_name
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dtype: string
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- name: __index_level_0__
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dtype: int64
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- name: docker_image
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dtype: string
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splits:
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- name: train
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num_bytes: 595519853
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num_examples: 17749
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download_size: 202807694
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dataset_size: 595519853
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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# SWE-rebench-R2E (Filtered Dataset)
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## Dataset Description
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This is a filtered version of the [nebius/SWE-rebench](https://huggingface.co/datasets/nebius/SWE-rebench) dataset. The filtering process removes instances that overlap in repo with other established SWE-bench datasets to ensure uniqueness and reduce data contamination.
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Thus, you could directly use it as training data along with SWE-smith/R2E-Gym-Subset and test it on SWE-bench_Verified/Lite.
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## Filtering Criteria
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The dataset was filtered using the following criteria:
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1. **Empty Problem Statement Filter**: Removed instances with empty `problem_statement` fields
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2. **Repository Overlap Filter**: Removed instances from repositories that already exist in:
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- SWE-bench/SWE-bench_Verified
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- SWE-bench/SWE-bench_Lite
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- SWE-bench/SWE-smith
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- R2E-Gym/R2E-Gym-Subset
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## Original Dataset
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This filtered dataset is based on:
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- **Source**: [nebius/SWE-rebench](https://huggingface.co/datasets/nebius/SWE-rebench)
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- **Original Paper**: Please refer to the original SWE-rebench paper and dataset documentation
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## Citation
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If you use this filtered dataset, please cite both this filtered version and the original SWE-rebench dataset.
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## License
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This dataset follows the same license as the original nebius/SWE-rebench dataset.
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