Datasets:
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Upload dataset
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- data/test-00000-of-00002.parquet +3 -0
- data/test-00001-of-00002.parquet +3 -0
README.md
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- name: train
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num_bytes: 744010126
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num_examples: 21385
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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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# Dataset Summary
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SWE-bench Extra V2 is a dataset that can be used to train or evaluate agentic systems specializing in resolving GitHub issues. It is based on the methodology used to build SWE-bench benchmark and our previous dataset SWE-bench Extra and includes 21,000 Issue-Pull Request pairs sourced from 6,000 Python repositories.
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- name: train
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num_bytes: 744010126
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num_examples: 21385
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- name: test
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num_bytes: 744010126
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num_examples: 21385
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download_size: 482965460
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dataset_size: 1488020252
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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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- split: test
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path: data/test-*
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---
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# Dataset Summary
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SWE-bench Extra V2 is a dataset that can be used to train or evaluate agentic systems specializing in resolving GitHub issues. It is based on the methodology used to build SWE-bench benchmark and our previous dataset SWE-bench Extra and includes 21,000 Issue-Pull Request pairs sourced from 6,000 Python repositories.
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data/test-00000-of-00002.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:58d0723cc9eecaa1ce0da9cf0a63cf8c98a9c439cca01190ef8d535cb800c4d3
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size 104207372
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data/test-00001-of-00002.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:443673c8b3f905c4f937f48c11540e7dc0ecc8f8695bb20ec7b17a7273cd5853
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size 137275358
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