Datasets:
Tasks:
Text Retrieval
Formats:
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Sub-tasks:
document-retrieval
Size:
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ArXiv:
License:
Commit
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Parent(s):
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Update CodeSearchNet data file URLs (#3)
Browse files- Update CodeSearchNet data file URLs (74f0a1fef8a09ca66950abb51566c023efa636b9)
- Delete legacy dataset_infos.json (7bfee947a4c58df5eee863e752c1c7859efcafc5)
- Update citation information (d93a97be64d8c31c0098508f3a82753d701a90c5)
- Add paper (d003096c8ce2dd99d04584da95a1faacd3967389)
- README.md +30 -0
- code_x_glue_tc_nl_code_search_adv.py +1 -1
- dataset_infos.json +0 -1
README.md
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## Dataset Description
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- **Homepage:** https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/NL-code-search-Adv
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### Dataset Summary
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### Citation Information
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```
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@article{husain2019codesearchnet,
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title={Codesearchnet challenge: Evaluating the state of semantic code search},
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author={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},
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## Dataset Description
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- **Homepage:** https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/NL-code-search-Adv
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- **Paper:** https://arxiv.org/abs/2102.04664
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### Dataset Summary
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### Citation Information
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```
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@article{DBLP:journals/corr/abs-2102-04664,
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author = {Shuai Lu and
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Daya Guo and
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Shuo Ren and
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Junjie Huang and
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Alexey Svyatkovskiy and
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Ambrosio Blanco and
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Colin B. Clement and
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Dawn Drain and
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Daxin Jiang and
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Duyu Tang and
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Ge Li and
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Lidong Zhou and
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Linjun Shou and
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Long Zhou and
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Michele Tufano and
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Ming Gong and
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Ming Zhou and
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Nan Duan and
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Neel Sundaresan and
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Shao Kun Deng and
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Shengyu Fu and
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Shujie Liu},
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title = {CodeXGLUE: {A} Machine Learning Benchmark Dataset for Code Understanding
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and Generation},
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journal = {CoRR},
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volume = {abs/2102.04664},
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year = {2021}
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}
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@article{husain2019codesearchnet,
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title={Codesearchnet challenge: Evaluating the state of semantic code search},
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author={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},
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code_x_glue_tc_nl_code_search_adv.py
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@@ -52,7 +52,7 @@ class CodeXGlueCtCodeToTextBaseImpl(TrainValidTestChild):
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_SUPERVISED_KEYS = ["docstring", "docstring_tokens"]
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def generate_urls(self, split_name, language):
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yield "language", f"https://
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yield "dataset", "dataset.zip"
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def get_data_files(self, split_name, file_paths, language):
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_SUPERVISED_KEYS = ["docstring", "docstring_tokens"]
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def generate_urls(self, split_name, language):
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yield "language", f"https://huggingface.co/datasets/code_search_net/resolve/main/data/{language}.zip"
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yield "dataset", "dataset.zip"
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def get_data_files(self, split_name, file_paths, language):
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dataset_infos.json
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{"default": {"description": "CodeXGLUE NL-code-search-Adv dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/NL-code-search-Adv\n\nThe dataset we use comes from CodeSearchNet and we filter the dataset as the following:\n- Remove examples that codes cannot be parsed into an abstract syntax tree.\n- Remove examples that #tokens of documents is < 3 or >256\n- Remove examples that documents contain special tokens (e.g. <img ...> or https:...)\n- Remove examples that documents are not English.\n", "citation": "@article{husain2019codesearchnet,\ntitle={Codesearchnet challenge: Evaluating the state of semantic code search},\nauthor={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},\njournal={arXiv preprint arXiv:1909.09436},\nyear={2019}\n}", "homepage": "https://github.com/madlag/CodeXGLUE/tree/main/Text-Code/NL-code-search-Adv", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "repo": {"dtype": "string", "id": null, "_type": "Value"}, "path": {"dtype": "string", "id": null, "_type": "Value"}, "func_name": {"dtype": "string", "id": null, "_type": "Value"}, "original_string": {"dtype": "string", "id": null, "_type": "Value"}, "language": {"dtype": "string", "id": null, "_type": "Value"}, "code": {"dtype": "string", "id": null, "_type": "Value"}, "code_tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "docstring": {"dtype": "string", "id": null, "_type": "Value"}, "docstring_tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "sha": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "docstring_summary": {"dtype": "string", "id": null, "_type": "Value"}, "parameters": {"dtype": "string", "id": null, "_type": "Value"}, "return_statement": {"dtype": "string", "id": null, "_type": "Value"}, "argument_list": {"dtype": "string", "id": null, "_type": "Value"}, "identifier": {"dtype": "string", "id": null, "_type": "Value"}, "nwo": {"dtype": "string", "id": null, "_type": "Value"}, "score": {"dtype": "float32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "docstring", "output": "docstring_tokens"}, "task_templates": null, "builder_name": "code_x_glue_tc_nl_code_search_adv", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 820716084, "num_examples": 251820, "dataset_name": "code_x_glue_tc_nl_code_search_adv"}, "validation": {"name": "validation", "num_bytes": 23468834, "num_examples": 9604, "dataset_name": "code_x_glue_tc_nl_code_search_adv"}, "test": {"name": "test", "num_bytes": 47433760, "num_examples": 19210, "dataset_name": "code_x_glue_tc_nl_code_search_adv"}}, "download_checksums": {"https://s3.amazonaws.com/code-search-net/CodeSearchNet/v2/python.zip": {"num_bytes": 940909997, "checksum": "7223c6460bebfa85697b586da91e47bc5d64790a4d60bba5917106458ab6b40e"}, "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Text-Code/NL-code-search-Adv/dataset.zip": {"num_bytes": 25115627, "checksum": "b4d5157699ca3bda7a33674f17d7b24294b4c8f36f650cea01d3d0dbcefdc656"}}, "download_size": 966025624, "post_processing_size": null, "dataset_size": 891618678, "size_in_bytes": 1857644302}}
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