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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    NonStreamableDatasetError
Message:      Streaming is not possible for this dataset because data host server doesn't support HTTP range requests. You can still load this dataset in non-streaming mode by passing `streaming=False` (default)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 453, in xopen
                  file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 441, in open
                  return open_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 273, in open_files
                  fs, fs_token, paths = get_fs_token_paths(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 606, in get_fs_token_paths
                  fs = filesystem(protocol, **inkwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 268, in filesystem
                  return cls(**storage_options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 76, in __call__
                  obj = super().__call__(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 60, in __init__
                  self.zip = zipfile.ZipFile(self.fo, mode=mode)
                File "/usr/local/lib/python3.9/zipfile.py", line 1257, in __init__
                  self._RealGetContents()
                File "/usr/local/lib/python3.9/zipfile.py", line 1320, in _RealGetContents
                  endrec = _EndRecData(fp)
                File "/usr/local/lib/python3.9/zipfile.py", line 263, in _EndRecData
                  fpin.seek(0, 2)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 684, in seek
                  raise ValueError("Cannot seek streaming HTTP file")
              ValueError: Cannot seek streaming HTTP file
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/responses/first_rows.py", line 337, in get_first_rows_response
                  rows = get_rows(dataset, config, split, streaming=True, rows_max_number=rows_max_number, hf_token=hf_token)
                File "/src/services/worker/src/worker/utils.py", line 123, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/responses/first_rows.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 718, in __iter__
                  for key, example in self._iter():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 708, in _iter
                  yield from ex_iterable
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 112, in __iter__
                  yield from self.generate_examples_fn(**self.kwargs)
                File "/tmp/modules-cache/datasets_modules/datasets/code_x_glue_tc_nl_code_search_adv/0129e250daf16ae94b91b8e495bd2b1bf5b6bf486e2f9aff5949ad5d10e49a12/code_x_glue_tc_nl_code_search_adv.py", line 177, in _generate_examples
                  for e in super()._generate_examples(split_name, file_paths, self.LANGUAGE):
                File "/tmp/modules-cache/datasets_modules/datasets/code_x_glue_tc_nl_code_search_adv/0129e250daf16ae94b91b8e495bd2b1bf5b6bf486e2f9aff5949ad5d10e49a12/code_x_glue_tc_nl_code_search_adv.py", line 91, in _generate_examples
                  with open(f1_path, encoding="utf-8") as f1:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 67, in wrapper
                  return function(*args, use_auth_token=use_auth_token, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 456, in xopen
                  raise NonStreamableDatasetError(
              datasets.download.streaming_download_manager.NonStreamableDatasetError: Streaming is not possible for this dataset because data host server doesn't support HTTP range requests. You can still load this dataset in non-streaming mode by passing `streaming=False` (default)

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Dataset Card for "code_x_glue_tc_nl_code_search_adv"

Dataset Summary

CodeXGLUE NL-code-search-Adv dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/NL-code-search-Adv

The dataset we use comes from CodeSearchNet and we filter the dataset as the following:

  • Remove examples that codes cannot be parsed into an abstract syntax tree.
  • Remove examples that #tokens of documents is < 3 or >256
  • Remove examples that documents contain special tokens (e.g. <img ...> or https:...)
  • Remove examples that documents are not English.

Supported Tasks and Leaderboards

  • document-retrieval: The dataset can be used to train a model for retrieving top-k codes from a given English natural language query.

Languages

  • Python programming language
  • English natural language

Dataset Structure

Data Instances

An example of 'validation' looks as follows.

{
    "argument_list": "", 
    "code": "def Func(arg_0, arg_1='.', arg_2=True, arg_3=False, **arg_4):\n    \"\"\"Downloads Dailymotion videos by URL.\n    \"\"\"\n\n    arg_5 = get_content(rebuilt_url(arg_0))\n    arg_6 = json.loads(match1(arg_5, r'qualities\":({.+?}),\"'))\n    arg_7 = match1(arg_5, r'\"video_title\"\\s*:\\s*\"([^\"]+)\"') or \\\n            match1(arg_5, r'\"title\"\\s*:\\s*\"([^\"]+)\"')\n    arg_7 = unicodize(arg_7)\n\n    for arg_8 in ['1080','720','480','380','240','144','auto']:\n        try:\n            arg_9 = arg_6[arg_8][1][\"url\"]\n            if arg_9:\n                break\n        except KeyError:\n            pass\n\n    arg_10, arg_11, arg_12 = url_info(arg_9)\n\n    print_info(site_info, arg_7, arg_10, arg_12)\n    if not arg_3:\n        download_urls([arg_9], arg_7, arg_11, arg_12, arg_1=arg_1, arg_2=arg_2)", 
    "code_tokens": ["def", "Func", "(", "arg_0", ",", "arg_1", "=", "'.'", ",", "arg_2", "=", "True", ",", "arg_3", "=", "False", ",", "**", "arg_4", ")", ":", "arg_5", "=", "get_content", "(", "rebuilt_url", "(", "arg_0", ")", ")", "arg_6", "=", "json", ".", "loads", "(", "match1", "(", "arg_5", ",", "r'qualities\":({.+?}),\"'", ")", ")", "arg_7", "=", "match1", "(", "arg_5", ",", "r'\"video_title\"\\s*:\\s*\"([^\"]+)\"'", ")", "or", "match1", "(", "arg_5", ",", "r'\"title\"\\s*:\\s*\"([^\"]+)\"'", ")", "arg_7", "=", "unicodize", "(", "arg_7", ")", "for", "arg_8", "in", "[", "'1080'", ",", "'720'", ",", "'480'", ",", "'380'", ",", "'240'", ",", "'144'", ",", "'auto'", "]", ":", "try", ":", "arg_9", "=", "arg_6", "[", "arg_8", "]", "[", "1", "]", "[", "\"url\"", "]", "if", "arg_9", ":", "break", "except", "KeyError", ":", "pass", "arg_10", ",", "arg_11", ",", "arg_12", "=", "url_info", "(", "arg_9", ")", "print_info", "(", "site_info", ",", "arg_7", ",", "arg_10", ",", "arg_12", ")", "if", "not", "arg_3", ":", "download_urls", "(", "[", "arg_9", "]", ",", "arg_7", ",", "arg_11", ",", "arg_12", ",", "arg_1", "=", "arg_1", ",", "arg_2", "=", "arg_2", ")"], 
    "docstring": "Downloads Dailymotion videos by URL.", 
    "docstring_summary": "Downloads Dailymotion videos by URL.", 
    "docstring_tokens": ["Downloads", "Dailymotion", "videos", "by", "URL", "."], 
    "func_name": "", 
    "id": 0, 
    "identifier": "dailymotion_download", 
    "language": "python", 
    "nwo": "soimort/you-get", 
    "original_string": "", 
    "parameters": "(url, output_dir='.', merge=True, info_only=False, **kwargs)", 
    "path": "src/you_get/extractors/dailymotion.py", 
    "repo": "", 
    "return_statement": "", 
    "score": 0.9997601509094238, 
    "sha": "b746ac01c9f39de94cac2d56f665285b0523b974", 
    "url": "https://github.com/soimort/you-get/blob/b746ac01c9f39de94cac2d56f665285b0523b974/src/you_get/extractors/dailymotion.py#L13-L35"
}

Data Fields

In the following each data field in go is explained for each config. The data fields are the same among all splits.

default

field name type description
id int32 Index of the sample
repo string repo: the owner/repo
path string path: the full path to the original file
func_name string func_name: the function or method name
original_string string original_string: the raw string before tokenization or parsing
language string language: the programming language
code string code/function: the part of the original_string that is code
code_tokens Sequence[string] code_tokens/function_tokens: tokenized version of code
docstring string docstring: the top-level comment or docstring, if it exists in the original string
docstring_tokens Sequence[string] docstring_tokens: tokenized version of docstring
sha string sha of the file
url string url of the file
docstring_summary string Summary of the docstring
parameters string parameters of the function
return_statement string return statement
argument_list string list of arguments of the function
identifier string identifier
nwo string nwo
score datasets.Value("float"] score for this search

Data Splits

name train validation test
default 251820 9604 19210

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

Data from CodeSearchNet Challenge dataset. [More Information Needed]

Who are the source language producers?

Software Engineering developers.

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

https://github.com/microsoft, https://github.com/madlag

Licensing Information

Computational Use of Data Agreement (C-UDA) License.

Citation Information

@article{husain2019codesearchnet,
  title={Codesearchnet challenge: Evaluating the state of semantic code search},
  author={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},
  journal={arXiv preprint arXiv:1909.09436},
  year={2019}
}

Contributions

Thanks to @madlag (and partly also @ncoop57) for adding this dataset.

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