zirui3/TSSB-3M-ext

该数据集是对`TSSB-3M`数据集的扩展，增加了更多的提交信息，如提交消息、源代码文件等。数据集中的每个样本包含了项目的名称、提交的SHA值、父提交的SHA值、文件路径、项目URL、是否可能是bug、是否共同修改、是否在函数中、代码差异、修改前后的代码、SSTUB模式、编辑脚本、提交消息、文件列表等信息。

原始信息汇总

数据集概述

该数据集是对 TSSB-3M 数据集的扩展，包含了更多的提交信息，如提交消息和源代码文件等。

数据样本

以下是一个数据样本的示例：

python { "project": "ngraph", "commit_sha": "1445e0684fbcca2ec49a5f1becf1345159b7ba6a", "parent_sha": "4eb8eed57e506e8a2745b298340666e9d7e5ce58", "file_path": "ngraph/op_graph/op_graph.py", "project_url": "https://github.com/rsumner31/ngraph", "likely_bug": true, "comodified": false, "in_function": true, "diff": "@@ -787,7 +787,7 @@ def set_item(tensor, item, value): sl = slice(sl) start, end, step = sl.indices(l) if step <= 0:

•        raise ValueError(Invalid slice in item {}.format(item))
  

•        raise ValueError(Invalid slice (negative step) in item {}.format(item))
  

  return assign(tensor_slice(tensor, item, axes=value.axes), value)

", "before": "raise ValueError ( Invalid slice in item {} . format ( item ) )", "after": "raise ValueError ( Invalid slice (negative step) in item {} . format ( item ) )", "sstub_pattern": "CHANGE_STRING_LITERAL", "edit_script": "[["Update", ["string:Invalid slice in item {}", 3, 30, 3, 56], "Invalid slice (negative step) in item {}"]]", "key": "rsumner31/ngraph@1445e0684fbcca2ec49a5f1becf1345159b7ba6a", "commit_message": "Better error description.", "files": [ { "sha": "52e76a0a5acb043db75592be1bdd09fc6fedf932", "filename": "ngraph/op_graph/op_graph.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/rsumner31/ngraph/blob/1445e0684fbcca2ec49a5f1becf1345159b7ba6a/ngraph%2Fop_graph%2Fop_graph.py", "raw_url": "https://github.com/rsumner31/ngraph/raw/1445e0684fbcca2ec49a5f1becf1345159b7ba6a/ngraph%2Fop_graph%2Fop_graph.py", "contents_url": "https://api.github.com/repos/rsumner31/ngraph/contents/ngraph%2Fop_graph%2Fop_graph.py?ref=1445e0684fbcca2ec49a5f1becf1345159b7ba6a", "patch": "@@ -787,7 +787,7 @@ def set_item(tensor, item, value): sl = slice(sl) start, end, step = sl.indices(l) if step <= 0:

•        raise ValueError(Invalid slice in item {}.format(item))
  

•        raise ValueError(Invalid slice (negative step) in item {}.format(item))
  

  return assign(tensor_slice(tensor, item, axes=value.axes), value)

" } ], "find_commit": 1 }