Convert dataset to Parquet

#5
by albertvillanova HF staff - opened
README.md CHANGED
@@ -19,6 +19,13 @@ task_categories:
19
  - translation
20
  task_ids: []
21
  pretty_name: CodeXGlueCtCodeToText
 
 
 
 
 
 
 
22
  tags:
23
  - code-to-text
24
  dataset_info:
@@ -50,16 +57,16 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 342244027
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  num_examples: 167288
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  - name: validation
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- num_bytes: 13721912
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  num_examples: 7325
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  - name: test
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- num_bytes: 16328458
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  num_examples: 8122
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- download_size: 499922799
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- dataset_size: 372294397
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  - config_name: java
64
  features:
65
  - name: id
@@ -88,16 +95,16 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 452554719
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  num_examples: 164923
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  - name: validation
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- num_bytes: 13366396
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  num_examples: 5183
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  - name: test
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- num_bytes: 29080857
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  num_examples: 10955
99
- download_size: 1072966017
100
- dataset_size: 495001972
101
  - config_name: javascript
102
  features:
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  - name: id
@@ -126,16 +133,16 @@ dataset_info:
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  dtype: string
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  splits:
128
  - name: train
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- num_bytes: 160860743
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  num_examples: 58025
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  - name: validation
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- num_bytes: 10337396
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  num_examples: 3885
134
  - name: test
135
- num_bytes: 10190765
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  num_examples: 3291
137
- download_size: 1677110214
138
- dataset_size: 181388904
139
  - config_name: php
140
  features:
141
  - name: id
@@ -164,16 +171,16 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 614655799
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  num_examples: 241241
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  - name: validation
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- num_bytes: 33283149
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  num_examples: 12982
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  - name: test
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- num_bytes: 35375097
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  num_examples: 14014
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- download_size: 864290912
176
- dataset_size: 683314045
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  - config_name: python
178
  features:
179
  - name: id
@@ -202,16 +209,16 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 813664500
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  num_examples: 251820
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  - name: validation
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- num_bytes: 46888668
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  num_examples: 13914
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  - name: test
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- num_bytes: 50659792
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  num_examples: 14918
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- download_size: 953306861
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- dataset_size: 911212960
215
  - config_name: ruby
216
  features:
217
  - name: id
@@ -240,23 +247,65 @@ dataset_info:
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  dtype: string
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  splits:
242
  - name: train
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- num_bytes: 51956595
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  num_examples: 24927
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  - name: validation
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- num_bytes: 2821089
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  num_examples: 1400
248
  - name: test
249
- num_bytes: 2671603
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  num_examples: 1261
251
- download_size: 124154892
252
- dataset_size: 57449287
253
- config_names:
254
- - go
255
- - java
256
- - javascript
257
- - php
258
- - python
259
- - ruby
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
260
  ---
261
  # Dataset Card for "code_x_glue_ct_code_to_text"
262
 
 
19
  - translation
20
  task_ids: []
21
  pretty_name: CodeXGlueCtCodeToText
22
+ config_names:
23
+ - go
24
+ - java
25
+ - javascript
26
+ - php
27
+ - python
28
+ - ruby
29
  tags:
30
  - code-to-text
31
  dataset_info:
 
57
  dtype: string
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  splits:
59
  - name: train
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+ num_bytes: 342243143
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  num_examples: 167288
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  - name: validation
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+ num_bytes: 13721860
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  num_examples: 7325
65
  - name: test
66
+ num_bytes: 16328406
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  num_examples: 8122
68
+ download_size: 121341698
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+ dataset_size: 372293409
70
  - config_name: java
71
  features:
72
  - name: id
 
95
  dtype: string
96
  splits:
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  - name: train
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+ num_bytes: 452553835
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  num_examples: 164923
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  - name: validation
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+ num_bytes: 13366344
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  num_examples: 5183
103
  - name: test
104
+ num_bytes: 29080753
105
  num_examples: 10955
106
+ download_size: 154701399
107
+ dataset_size: 495000932
108
  - config_name: javascript
109
  features:
110
  - name: id
 
133
  dtype: string
134
  splits:
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  - name: train
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+ num_bytes: 160860431
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  num_examples: 58025
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  - name: validation
139
+ num_bytes: 10337344
140
  num_examples: 3885
141
  - name: test
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+ num_bytes: 10190713
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  num_examples: 3291
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+ download_size: 65788314
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+ dataset_size: 181388488
146
  - config_name: php
147
  features:
148
  - name: id
 
171
  dtype: string
172
  splits:
173
  - name: train
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+ num_bytes: 614654499
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  num_examples: 241241
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  - name: validation
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+ num_bytes: 33283045
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  num_examples: 12982
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  - name: test
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+ num_bytes: 35374993
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  num_examples: 14014
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+ download_size: 219692158
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+ dataset_size: 683312537
184
  - config_name: python
185
  features:
186
  - name: id
 
209
  dtype: string
210
  splits:
211
  - name: train
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+ num_bytes: 813663148
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  num_examples: 251820
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  - name: validation
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+ num_bytes: 46888564
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  num_examples: 13914
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  - name: test
218
+ num_bytes: 50659688
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  num_examples: 14918
220
+ download_size: 325551862
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+ dataset_size: 911211400
222
  - config_name: ruby
223
  features:
224
  - name: id
 
247
  dtype: string
248
  splits:
249
  - name: train
250
+ num_bytes: 51956439
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  num_examples: 24927
252
  - name: validation
253
+ num_bytes: 2821037
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  num_examples: 1400
255
  - name: test
256
+ num_bytes: 2671551
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  num_examples: 1261
258
+ download_size: 21921316
259
+ dataset_size: 57449027
260
+ configs:
261
+ - config_name: go
262
+ data_files:
263
+ - split: train
264
+ path: go/train-*
265
+ - split: validation
266
+ path: go/validation-*
267
+ - split: test
268
+ path: go/test-*
269
+ - config_name: java
270
+ data_files:
271
+ - split: train
272
+ path: java/train-*
273
+ - split: validation
274
+ path: java/validation-*
275
+ - split: test
276
+ path: java/test-*
277
+ - config_name: javascript
278
+ data_files:
279
+ - split: train
280
+ path: javascript/train-*
281
+ - split: validation
282
+ path: javascript/validation-*
283
+ - split: test
284
+ path: javascript/test-*
285
+ - config_name: php
286
+ data_files:
287
+ - split: train
288
+ path: php/train-*
289
+ - split: validation
290
+ path: php/validation-*
291
+ - split: test
292
+ path: php/test-*
293
+ - config_name: python
294
+ data_files:
295
+ - split: train
296
+ path: python/train-*
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+ - split: validation
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+ path: python/validation-*
299
+ - split: test
300
+ path: python/test-*
301
+ - config_name: ruby
302
+ data_files:
303
+ - split: train
304
+ path: ruby/train-*
305
+ - split: validation
306
+ path: ruby/validation-*
307
+ - split: test
308
+ path: ruby/test-*
309
  ---
310
  # Dataset Card for "code_x_glue_ct_code_to_text"
311
 
code_x_glue_ct_code_to_text.py DELETED
@@ -1,155 +0,0 @@
1
- import json
2
- import os
3
- import os.path
4
- from typing import List
5
-
6
- import datasets
7
-
8
- from .common import TrainValidTestChild
9
- from .generated_definitions import DEFINITIONS
10
-
11
-
12
- _DESCRIPTION = """The dataset we use comes from CodeSearchNet and we filter the dataset as the following:
13
- - Remove examples that codes cannot be parsed into an abstract syntax tree.
14
- - Remove examples that #tokens of documents is < 3 or >256
15
- - Remove examples that documents contain special tokens (e.g. <img ...> or https:...)
16
- - Remove examples that documents are not English.
17
- """
18
- _CITATION = """@article{husain2019codesearchnet,
19
- title={Codesearchnet challenge: Evaluating the state of semantic code search},
20
- author={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},
21
- journal={arXiv preprint arXiv:1909.09436},
22
- year={2019}
23
- }"""
24
-
25
-
26
- class CodeXGlueCtCodeToTextBaseImpl(TrainValidTestChild):
27
- _DESCRIPTION = _DESCRIPTION
28
- _CITATION = _CITATION
29
-
30
- # For each file, each line in the uncompressed file represents one function.
31
- _FEATURES = {
32
- "id": datasets.Value("int32"), # Index of the sample
33
- "repo": datasets.Value("string"), # repo: the owner/repo
34
- "path": datasets.Value("string"), # path: the full path to the original file
35
- "func_name": datasets.Value("string"), # func_name: the function or method name
36
- "original_string": datasets.Value("string"), # original_string: the raw string before tokenization or parsing
37
- "language": datasets.Value("string"), # language: the programming language name
38
- "code": datasets.Value("string"), # code/function: the part of the original_string that is code
39
- "code_tokens": datasets.features.Sequence(
40
- datasets.Value("string")
41
- ), # code_tokens/function_tokens: tokenized version of code
42
- "docstring": datasets.Value(
43
- "string"
44
- ), # docstring: the top-level comment or docstring, if it exists in the original string
45
- "docstring_tokens": datasets.features.Sequence(
46
- datasets.Value("string")
47
- ), # docstring_tokens: tokenized version of docstring
48
- "sha": datasets.Value("string"), # sha of the file
49
- "url": datasets.Value("string"), # url of the file
50
- }
51
-
52
- _SUPERVISED_KEYS = ["docstring", "docstring_tokens"]
53
-
54
- def generate_urls(self, split_name, language):
55
- yield "language", f"https://huggingface.co/datasets/code_search_net/resolve/main/data/{language}.zip"
56
- yield "dataset", "dataset.zip"
57
-
58
- def get_data_files(self, split_name, file_paths, language):
59
- language_specific_path = file_paths["language"]
60
- final_path = os.path.join(language_specific_path, language, "final")
61
- # Make some cleanup to save space
62
- for path in os.listdir(final_path):
63
- if path.endswith(".pkl"):
64
- os.unlink(path)
65
-
66
- data_files = []
67
- for root, dirs, files in os.walk(final_path):
68
- for file in files:
69
- temp = os.path.join(root, file)
70
- if ".jsonl" in temp:
71
- if split_name in temp:
72
- data_files.append(temp)
73
- return data_files
74
-
75
- def post_process(self, split_name, language, js):
76
- return js
77
-
78
- def _generate_examples(self, split_name, file_paths, language):
79
- import gzip
80
-
81
- data_set_path = file_paths["dataset"]
82
-
83
- data_files = self.get_data_files(split_name, file_paths, language)
84
-
85
- urls = {}
86
- f1_path_parts = [data_set_path, "dataset", language, f"{split_name}.txt"]
87
- if self.SINGLE_LANGUAGE:
88
- del f1_path_parts[2]
89
-
90
- f1_path = os.path.join(*f1_path_parts)
91
- with open(f1_path, encoding="utf-8") as f1:
92
- for line in f1:
93
- line = line.strip()
94
- urls[line] = True
95
-
96
- idx = 0
97
- for file in data_files:
98
- if ".gz" in file:
99
- f = gzip.open(file)
100
- else:
101
- f = open(file, encoding="utf-8")
102
-
103
- for line in f:
104
- line = line.strip()
105
- js = json.loads(line)
106
- if js["url"] in urls:
107
- js["id"] = idx
108
- js = self.post_process(split_name, language, js)
109
- if "partition" in js:
110
- del js["partition"]
111
- yield idx, js
112
- idx += 1
113
- f.close()
114
-
115
-
116
- class CodeXGlueCtCodeToTextImpl(CodeXGlueCtCodeToTextBaseImpl):
117
- SINGLE_LANGUAGE = False
118
-
119
- def generate_urls(self, split_name):
120
- language = self.info["parameters"]["language"]
121
- for e in super().generate_urls(split_name, language):
122
- yield e
123
-
124
- def _generate_examples(self, split_name, file_paths):
125
- language = self.info["parameters"]["language"]
126
- for e in super()._generate_examples(split_name, file_paths, language):
127
- yield e
128
-
129
-
130
- CLASS_MAPPING = {
131
- "CodeXGlueCtCodeToText": CodeXGlueCtCodeToTextImpl,
132
- }
133
-
134
-
135
- class CodeXGlueCtCodeToText(datasets.GeneratorBasedBuilder):
136
- BUILDER_CONFIG_CLASS = datasets.BuilderConfig
137
- BUILDER_CONFIGS = [
138
- datasets.BuilderConfig(name=name, description=info["description"]) for name, info in DEFINITIONS.items()
139
- ]
140
-
141
- def _info(self):
142
- name = self.config.name
143
- info = DEFINITIONS[name]
144
- if info["class_name"] in CLASS_MAPPING:
145
- self.child = CLASS_MAPPING[info["class_name"]](info)
146
- else:
147
- raise RuntimeError(f"Unknown python class for dataset configuration {name}")
148
- ret = self.child._info()
149
- return ret
150
-
151
- def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
152
- return self.child._split_generators(dl_manager=dl_manager)
153
-
154
- def _generate_examples(self, split_name, file_paths):
155
- return self.child._generate_examples(split_name, file_paths)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
common.py DELETED
@@ -1,75 +0,0 @@
1
- from typing import List
2
-
3
- import datasets
4
-
5
-
6
- # Citation, taken from https://github.com/microsoft/CodeXGLUE
7
- _DEFAULT_CITATION = """@article{CodeXGLUE,
8
- title={CodeXGLUE: A Benchmark Dataset and Open Challenge for Code Intelligence},
9
- year={2020},}"""
10
-
11
-
12
- class Child:
13
- _DESCRIPTION = None
14
- _FEATURES = None
15
- _CITATION = None
16
- SPLITS = {"train": datasets.Split.TRAIN}
17
- _SUPERVISED_KEYS = None
18
-
19
- def __init__(self, info):
20
- self.info = info
21
-
22
- def homepage(self):
23
- return self.info["project_url"]
24
-
25
- def _info(self):
26
- # This is the description that will appear on the datasets page.
27
- return datasets.DatasetInfo(
28
- description=self.info["description"] + "\n\n" + self._DESCRIPTION,
29
- features=datasets.Features(self._FEATURES),
30
- homepage=self.homepage(),
31
- citation=self._CITATION or _DEFAULT_CITATION,
32
- supervised_keys=self._SUPERVISED_KEYS,
33
- )
34
-
35
- def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
36
- SPLITS = self.SPLITS
37
- _URL = self.info["raw_url"]
38
- urls_to_download = {}
39
- for split in SPLITS:
40
- if split not in urls_to_download:
41
- urls_to_download[split] = {}
42
-
43
- for key, url in self.generate_urls(split):
44
- if not url.startswith("http"):
45
- url = _URL + "/" + url
46
- urls_to_download[split][key] = url
47
-
48
- downloaded_files = {}
49
- for k, v in urls_to_download.items():
50
- downloaded_files[k] = dl_manager.download_and_extract(v)
51
-
52
- return [
53
- datasets.SplitGenerator(
54
- name=SPLITS[k],
55
- gen_kwargs={"split_name": k, "file_paths": downloaded_files[k]},
56
- )
57
- for k in SPLITS
58
- ]
59
-
60
- def check_empty(self, entries):
61
- all_empty = all([v == "" for v in entries.values()])
62
- all_non_empty = all([v != "" for v in entries.values()])
63
-
64
- if not all_non_empty and not all_empty:
65
- raise RuntimeError("Parallel data files should have the same number of lines.")
66
-
67
- return all_empty
68
-
69
-
70
- class TrainValidTestChild(Child):
71
- SPLITS = {
72
- "train": datasets.Split.TRAIN,
73
- "valid": datasets.Split.VALIDATION,
74
- "test": datasets.Split.TEST,
75
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
generated_definitions.py DELETED
@@ -1,68 +0,0 @@
1
- DEFINITIONS = {
2
- "go": {
3
- "class_name": "CodeXGlueCtCodeToText",
4
- "dataset_type": "Code-Text",
5
- "description": "CodeXGLUE code-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Text/code-to-text",
6
- "dir_name": "code-to-text",
7
- "name": "go",
8
- "parameters": {"language": "go"},
9
- "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Text/code-to-text",
10
- "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Text/code-to-text",
11
- "sizes": {"test": 8122, "train": 167288, "validation": 7325},
12
- },
13
- "java": {
14
- "class_name": "CodeXGlueCtCodeToText",
15
- "dataset_type": "Code-Text",
16
- "description": "CodeXGLUE code-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Text/code-to-text",
17
- "dir_name": "code-to-text",
18
- "name": "java",
19
- "parameters": {"language": "java"},
20
- "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Text/code-to-text",
21
- "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Text/code-to-text",
22
- "sizes": {"test": 10955, "train": 164923, "validation": 5183},
23
- },
24
- "javascript": {
25
- "class_name": "CodeXGlueCtCodeToText",
26
- "dataset_type": "Code-Text",
27
- "description": "CodeXGLUE code-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Text/code-to-text",
28
- "dir_name": "code-to-text",
29
- "name": "javascript",
30
- "parameters": {"language": "javascript"},
31
- "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Text/code-to-text",
32
- "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Text/code-to-text",
33
- "sizes": {"test": 3291, "train": 58025, "validation": 3885},
34
- },
35
- "php": {
36
- "class_name": "CodeXGlueCtCodeToText",
37
- "dataset_type": "Code-Text",
38
- "description": "CodeXGLUE code-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Text/code-to-text",
39
- "dir_name": "code-to-text",
40
- "name": "php",
41
- "parameters": {"language": "php"},
42
- "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Text/code-to-text",
43
- "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Text/code-to-text",
44
- "sizes": {"test": 14014, "train": 241241, "validation": 12982},
45
- },
46
- "python": {
47
- "class_name": "CodeXGlueCtCodeToText",
48
- "dataset_type": "Code-Text",
49
- "description": "CodeXGLUE code-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Text/code-to-text",
50
- "dir_name": "code-to-text",
51
- "name": "python",
52
- "parameters": {"language": "python"},
53
- "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Text/code-to-text",
54
- "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Text/code-to-text",
55
- "sizes": {"test": 14918, "train": 251820, "validation": 13914},
56
- },
57
- "ruby": {
58
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