test
Browse files- the-vault-function.py +67 -58
the-vault-function.py
CHANGED
|
@@ -7,17 +7,17 @@ import datasets
|
|
| 7 |
|
| 8 |
_REPO_NAME = 'Fsoft-AIC/the-vault'
|
| 9 |
|
| 10 |
-
|
| 11 |
-
"
|
| 12 |
-
"
|
| 13 |
-
"
|
| 14 |
-
"
|
| 15 |
-
"
|
| 16 |
-
"Java":
|
| 17 |
-
"
|
| 18 |
-
"
|
| 19 |
-
"
|
| 20 |
-
"
|
| 21 |
}
|
| 22 |
|
| 23 |
|
|
@@ -26,20 +26,22 @@ _DESCRIPTION = """The Vault"""
|
|
| 26 |
_HOMEPAGE = "https://huggingface.co/Fsoft-AIC"
|
| 27 |
|
| 28 |
|
| 29 |
-
|
| 30 |
-
for lang in
|
| 31 |
-
for extension in
|
| 32 |
-
|
| 33 |
|
| 34 |
|
| 35 |
|
| 36 |
-
_LANG_CONFIGS = ["all"] + list(
|
| 37 |
|
| 38 |
num_shard_split = {
|
| 39 |
-
'train/small':
|
| 40 |
-
'train/medium':
|
|
|
|
|
|
|
| 41 |
}
|
| 42 |
-
_SPLIT_CONFIGS = ["all"
|
| 43 |
|
| 44 |
class TheVaultFunctionConfig(datasets.BuilderConfig):
|
| 45 |
"""BuilderConfig for The Vault dataset."""
|
|
@@ -56,8 +58,8 @@ class TheVaultFunctionConfig(datasets.BuilderConfig):
|
|
| 56 |
**kwargs,
|
| 57 |
)
|
| 58 |
|
| 59 |
-
languages = set(languages)
|
| 60 |
-
split_set = set(split_set)
|
| 61 |
|
| 62 |
assert all([language in _LANG_CONFIGS for language in languages]), f"languages {languages} contains language not in {_LANG_CONFIGS}."
|
| 63 |
assert all([split in _SPLIT_CONFIGS for split in split_set]), "split_set {} contains element not in {}.".format(split_set, _SPLIT_CONFIGS)
|
|
@@ -88,13 +90,15 @@ class TheVaultFunction(datasets.GeneratorBasedBuilder):
|
|
| 88 |
def _info(self):
|
| 89 |
return datasets.DatasetInfo(
|
| 90 |
description=_DESCRIPTION,
|
| 91 |
-
features=datasets.Features({
|
|
|
|
| 92 |
"original_docstring": datasets.Value("string"),
|
| 93 |
"code": datasets.Value("string"),
|
| 94 |
"docstring": datasets.Value("string"),
|
| 95 |
"code_tokens": datasets.Value("string"),
|
| 96 |
"docstring_tokens": datasets.Value("string"),
|
| 97 |
"short_docstring": datasets.Value("string"),
|
|
|
|
| 98 |
"comment": datasets.Value("string"),
|
| 99 |
"return_type": datasets.Value("string"),
|
| 100 |
"identifier": datasets.Value("string"),
|
|
@@ -104,7 +108,6 @@ class TheVaultFunction(datasets.GeneratorBasedBuilder):
|
|
| 104 |
}),
|
| 105 |
supervised_keys=None,
|
| 106 |
homepage=_HOMEPAGE,
|
| 107 |
-
license="Multiple: see the 'license' field of each sample.",
|
| 108 |
|
| 109 |
)
|
| 110 |
|
|
@@ -113,24 +116,29 @@ class TheVaultFunction(datasets.GeneratorBasedBuilder):
|
|
| 113 |
|
| 114 |
generators = []
|
| 115 |
split_set = self.config.split_set
|
|
|
|
| 116 |
if "all" in split_set:
|
| 117 |
-
split_set =
|
|
|
|
|
|
|
|
|
|
| 118 |
|
| 119 |
for split in split_set:
|
| 120 |
-
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
|
| 124 |
-
|
| 125 |
-
|
| 126 |
-
|
| 127 |
-
|
| 128 |
-
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
|
| 132 |
-
|
| 133 |
-
|
|
|
|
| 134 |
return generators
|
| 135 |
|
| 136 |
def _generate_examples(self, files):
|
|
@@ -143,30 +151,31 @@ class TheVaultFunction(datasets.GeneratorBasedBuilder):
|
|
| 143 |
for row_index in range(pa_table.num_rows):
|
| 144 |
row = pa_table.slice(row_index, 1).to_pydict()
|
| 145 |
|
| 146 |
-
lang = row['language'][0]
|
| 147 |
|
| 148 |
-
if self.config.filter_languages and not lang in self.config.languages:
|
| 149 |
-
|
| 150 |
|
| 151 |
yield key, {
|
| 152 |
-
"
|
| 153 |
-
"
|
| 154 |
-
"
|
| 155 |
-
"
|
| 156 |
-
"
|
| 157 |
-
"
|
| 158 |
-
"
|
| 159 |
-
"
|
| 160 |
-
"
|
| 161 |
-
"
|
| 162 |
-
"
|
| 163 |
-
"
|
| 164 |
-
"
|
|
|
|
| 165 |
}
|
| 166 |
key += 1
|
| 167 |
|
| 168 |
|
| 169 |
-
def lang_from_name(name):
|
| 170 |
-
|
| 171 |
-
|
| 172 |
-
|
|
|
|
| 7 |
|
| 8 |
_REPO_NAME = 'Fsoft-AIC/the-vault'
|
| 9 |
|
| 10 |
+
_LANG_TO_TEXT = {
|
| 11 |
+
"python": "python",
|
| 12 |
+
"c": "c",
|
| 13 |
+
"c#": "c_sharp",
|
| 14 |
+
"c++": "cpp",
|
| 15 |
+
"go": "go",
|
| 16 |
+
"Java": "java",
|
| 17 |
+
"javascript": "javascript",
|
| 18 |
+
"php": "php",
|
| 19 |
+
"ruby": "ruby",
|
| 20 |
+
"rust": "rust",
|
| 21 |
}
|
| 22 |
|
| 23 |
|
|
|
|
| 26 |
_HOMEPAGE = "https://huggingface.co/Fsoft-AIC"
|
| 27 |
|
| 28 |
|
| 29 |
+
_TEXT_TO_LANG = {}
|
| 30 |
+
for lang in _LANG_TO_TEXT:
|
| 31 |
+
for extension in _LANG_TO_TEXT[lang]:
|
| 32 |
+
_TEXT_TO_LANG[extension] = lang
|
| 33 |
|
| 34 |
|
| 35 |
|
| 36 |
+
_LANG_CONFIGS = ["all"] + list(_TEXT_TO_LANG.keys())
|
| 37 |
|
| 38 |
num_shard_split = {
|
| 39 |
+
'train/small/python': 1,
|
| 40 |
+
'train/medium/python': 1,
|
| 41 |
+
'train/small/c': 1,
|
| 42 |
+
'train/medium/c': 1
|
| 43 |
}
|
| 44 |
+
_SPLIT_CONFIGS = ["all", "train/small", "train/medium"]
|
| 45 |
|
| 46 |
class TheVaultFunctionConfig(datasets.BuilderConfig):
|
| 47 |
"""BuilderConfig for The Vault dataset."""
|
|
|
|
| 58 |
**kwargs,
|
| 59 |
)
|
| 60 |
|
| 61 |
+
languages = set([lang.lower() for lang in languages])
|
| 62 |
+
split_set = set([split.lower() for split in split_set])
|
| 63 |
|
| 64 |
assert all([language in _LANG_CONFIGS for language in languages]), f"languages {languages} contains language not in {_LANG_CONFIGS}."
|
| 65 |
assert all([split in _SPLIT_CONFIGS for split in split_set]), "split_set {} contains element not in {}.".format(split_set, _SPLIT_CONFIGS)
|
|
|
|
| 90 |
def _info(self):
|
| 91 |
return datasets.DatasetInfo(
|
| 92 |
description=_DESCRIPTION,
|
| 93 |
+
features=datasets.Features({
|
| 94 |
+
# "original_string": datasets.Value("string"),
|
| 95 |
"original_docstring": datasets.Value("string"),
|
| 96 |
"code": datasets.Value("string"),
|
| 97 |
"docstring": datasets.Value("string"),
|
| 98 |
"code_tokens": datasets.Value("string"),
|
| 99 |
"docstring_tokens": datasets.Value("string"),
|
| 100 |
"short_docstring": datasets.Value("string"),
|
| 101 |
+
"short_docstring_tokens": datasets.Value("string"),
|
| 102 |
"comment": datasets.Value("string"),
|
| 103 |
"return_type": datasets.Value("string"),
|
| 104 |
"identifier": datasets.Value("string"),
|
|
|
|
| 108 |
}),
|
| 109 |
supervised_keys=None,
|
| 110 |
homepage=_HOMEPAGE,
|
|
|
|
| 111 |
|
| 112 |
)
|
| 113 |
|
|
|
|
| 116 |
|
| 117 |
generators = []
|
| 118 |
split_set = self.config.split_set
|
| 119 |
+
languages = self.config.languages
|
| 120 |
if "all" in split_set:
|
| 121 |
+
split_set = _SPLIT_CONFIGS[1:]
|
| 122 |
+
|
| 123 |
+
if "all" in languages:
|
| 124 |
+
languages = _LANG_CONFIGS[1:]
|
| 125 |
|
| 126 |
for split in split_set:
|
| 127 |
+
for language in languages:
|
| 128 |
+
num_shards = num_shard_split[split]
|
| 129 |
+
data_files = [
|
| 130 |
+
f"data/{split}/{language}-{_index:05d}-of-{num_shards:05d}.parquet"
|
| 131 |
+
for _index in range(num_shards)
|
| 132 |
+
]
|
| 133 |
+
files = dl_manager.download(data_files)
|
| 134 |
+
generators.append(
|
| 135 |
+
datasets.SplitGenerator(
|
| 136 |
+
name=split.replace("/", "_"),
|
| 137 |
+
gen_kwargs={
|
| 138 |
+
"files": files,
|
| 139 |
+
},
|
| 140 |
+
),
|
| 141 |
+
)
|
| 142 |
return generators
|
| 143 |
|
| 144 |
def _generate_examples(self, files):
|
|
|
|
| 151 |
for row_index in range(pa_table.num_rows):
|
| 152 |
row = pa_table.slice(row_index, 1).to_pydict()
|
| 153 |
|
| 154 |
+
# lang = row['language'][0]
|
| 155 |
|
| 156 |
+
# if self.config.filter_languages and not lang in self.config.languages:
|
| 157 |
+
# continue
|
| 158 |
|
| 159 |
yield key, {
|
| 160 |
+
"repo": row['repo'][0],
|
| 161 |
+
"path": row['path'][0],
|
| 162 |
+
"language": row['language'][0],
|
| 163 |
+
"identifier": row['identifier'][0],
|
| 164 |
+
"return_type": row['return_type'][0],
|
| 165 |
+
# "original_string": row['original_string'][0],
|
| 166 |
+
"original_docstring": row['original_docstring'][0],
|
| 167 |
+
"docstring": row['docstring'][0],
|
| 168 |
+
"docstring_tokens": row['docstring_tokens'][0],
|
| 169 |
+
"code": row['code'][0],
|
| 170 |
+
"code_tokens": row['code_tokens'][0],
|
| 171 |
+
"short_docstring": row['short_docstring'][0],
|
| 172 |
+
"short_docstring_tokens": row['short_docstring_tokens'][0],
|
| 173 |
+
"comment": row['comment'][0]
|
| 174 |
}
|
| 175 |
key += 1
|
| 176 |
|
| 177 |
|
| 178 |
+
# def lang_from_name(name):
|
| 179 |
+
# for extension in _EXTENSION_TO_LANG:
|
| 180 |
+
# if name.endswith(extension):
|
| 181 |
+
# return _EXTENSION_TO_LANG[extension]
|