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wikitext_alltime_backup

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liyucheng commited on
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1 Parent(s): 323d9d8

update configs

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Files changed (3) hide show
  1. configs.txt +81 -0
  2. get_configs.py +1 -1
  3. wikitext_alltime.py +13 -6
configs.txt ADDED
@@ -0,0 +1,81 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ 2017-1
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+ 2017-10
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+ 2017-11
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+ 2017-12
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+ 2017-2
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+ 2017-3
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+ 2017-4
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+ 2017-5
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+ 2017-6
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+ 2017-7
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+ 2017-8
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+ 2017-9
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+ 2018-1
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+ 2018-10
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+ 2018-11
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+ 2018-12
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+ 2018-2
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+ 2018-3
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+ 2018-4
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+ 2018-5
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+ 2018-6
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+ 2018-7
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+ 2018-8
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+ 2018-9
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+ 2019-1
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+ 2019-10
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+ 2019-11
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+ 2019-12
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+ 2019-2
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+ 2019-3
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+ 2019-4
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+ 2019-5
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+ 2019-6
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+ 2019-7
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+ 2019-8
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+ 2019-9
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+ 2020-1
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+ 2020-10
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+ 2020-11
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+ 2020-12
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+ 2020-2
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+ 2020-3
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+ 2020-4
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+ 2020-5
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+ 2020-6
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+ 2020-7
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+ 2020-8
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+ 2020-9
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+ 2021-1
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+ 2021-10
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+ 2021-11
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+ 2021-12
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+ 2021-2
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+ 2021-3
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+ 2021-4
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+ 2021-5
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+ 2021-6
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+ 2021-7
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+ 2021-8
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+ 2021-9
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+ 2022-1
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+ 2022-10
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+ 2022-11
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+ 2022-12
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+ 2022-2
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+ 2022-3
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+ 2022-4
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+ 2022-5
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+ 2022-6
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+ 2022-7
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+ 2022-8
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+ 2022-9
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+ 2023-1
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+ 2023-2
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+ 2023-3
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+ 2023-5
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+ 2023-6
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+ 2023-7
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+ 2023-8
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+ 2023-9
get_configs.py CHANGED
@@ -3,7 +3,7 @@ import os
3
 
4
  all_articles = glob.glob('./wiki/*.json')
5
  file_names = [os.path.splitext(os.path.basename(path))[0] for path in all_articles]
6
- _TIMES = sorted(file_names) + ['all']
7
 
8
  # Write the string to a Python file
9
  with open('configs.txt', 'w') as file:
 
3
 
4
  all_articles = glob.glob('./wiki/*.json')
5
  file_names = [os.path.splitext(os.path.basename(path))[0] for path in all_articles]
6
+ _TIMES = sorted(file_names)
7
 
8
  # Write the string to a Python file
9
  with open('configs.txt', 'w') as file:
wikitext_alltime.py CHANGED
@@ -1,6 +1,14 @@
1
  import datasets
2
  import json
3
 
 
 
 
 
 
 
 
 
4
  _CITATION = """\
5
  @misc{li2023estimating,
6
  title={Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model Evaluation},
@@ -13,14 +21,11 @@ _CITATION = """\
13
  """
14
 
15
  _DESCRIPTION = """\
16
- This dataset contains Wikipedia articles of 419 selected pages from 2017 to 2022. The articles are arraged by month. Access the specific month by using the format "YYYY-MM" as config. Such as load_dataset("RealTimeData/wikitext_alltime", "2021-1").
17
  """
18
 
19
  _HOMEPAGE = "https://github.com/liyucheng09/Contamination_Detector"
20
 
21
- _TIMES = ["2017-10", "2017-11", "2017-12", "2017-1", "2017-2", "2017-3", "2017-4", "2017-5", "2017-6", "2017-7", "2017-8", "2017-9", "2018-10", "2018-11", "2018-12", "2018-1", "2018-2", "2018-3", "2018-4", "2018-5", "2018-6", "2018-7", "2018-8", "2018-9", "2019-10", "2019-11", "2019-12", "2019-1", "2019-2", "2019-3", "2019-4", "2019-5", "2019-6", "2019-7", "2019-8", "2019-9", "2020-10", "2020-11", "2020-12", "2020-1", "2020-2", "2020-3", "2020-4", "2020-5", "2020-6", "2020-7", "2020-8", "2020-9", "2021-10", "2021-11", "2021-12", "2021-1", "2021-2", "2021-3", "2021-4", "2021-5", "2021-6", "2021-7", "2021-8", "2021-9", "2022-10", "2022-11", "2022-12", "2023-1", "2023-2", "2023-3", "2023-4", "2023-5", "2023-6", "2023-7", "2023-8", "2023-9", "2022-1", "2022-2", "2022-3", "2022-4", "2022-5", "2022-6", "2022-7", "2022-8", "2022-9", "all"]
22
-
23
-
24
  class Wikitext_alltimes(datasets.GeneratorBasedBuilder):
25
 
26
  BUILDER_CONFIGS = [
@@ -49,7 +54,7 @@ class Wikitext_alltimes(datasets.GeneratorBasedBuilder):
49
  """Returns SplitGenerators."""
50
  if self.config.name == "all":
51
  times = _TIMES[:-1]
52
- files = dl_manager.download_and_extract('all_articles.zip')
53
  return [
54
  datasets.SplitGenerator(
55
  name=datasets.Split.TRAIN,
@@ -58,7 +63,7 @@ class Wikitext_alltimes(datasets.GeneratorBasedBuilder):
58
  ]
59
  else:
60
  time = self.config.name
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- _URL = f"wiki/{time}.json"
62
  file = dl_manager.download(_URL)
63
  return [
64
  datasets.SplitGenerator(
@@ -80,6 +85,7 @@ class Wikitext_alltimes(datasets.GeneratorBasedBuilder):
80
  "title": article['title'],
81
  "pageid": article['pageid'],
82
  "text": article['text'],
 
83
  }
84
  else:
85
  assert isinstance(files, str)
@@ -91,4 +97,5 @@ class Wikitext_alltimes(datasets.GeneratorBasedBuilder):
91
  "title": article['title'],
92
  "pageid": article['pageid'],
93
  "text": article['text'],
 
94
  }
 
1
  import datasets
2
  import json
3
 
4
+ dl = datasets.DownloadManager()
5
+ configs_file = dl.download('https://huggingface.co/datasets/RealTimeData/wikitext_alltime/raw/main/configs.txt')
6
+
7
+ with open(configs_file, encoding="utf-8") as f:
8
+ _TIMES = f.read().splitlines()
9
+
10
+ _TIMES += ['all']
11
+
12
  _CITATION = """\
13
  @misc{li2023estimating,
14
  title={Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model Evaluation},
 
21
  """
22
 
23
  _DESCRIPTION = """\
24
+ This dataset contains Wikipedia articles of 419 selected pages every month from 2017-1 to current. The articles are arraged by month. Access the specific month by using the format "YYYY-MM" as config. Such as load_dataset("RealTimeData/wikitext_alltime", "2021-1").
25
  """
26
 
27
  _HOMEPAGE = "https://github.com/liyucheng09/Contamination_Detector"
28
 
 
 
 
29
  class Wikitext_alltimes(datasets.GeneratorBasedBuilder):
30
 
31
  BUILDER_CONFIGS = [
 
54
  """Returns SplitGenerators."""
55
  if self.config.name == "all":
56
  times = _TIMES[:-1]
57
+ files = dl_manager.download([f"articles/{time}.json" for time in _TIMES ])
58
  return [
59
  datasets.SplitGenerator(
60
  name=datasets.Split.TRAIN,
 
63
  ]
64
  else:
65
  time = self.config.name
66
+ _URL = f"articles/{time}.json"
67
  file = dl_manager.download(_URL)
68
  return [
69
  datasets.SplitGenerator(
 
85
  "title": article['title'],
86
  "pageid": article['pageid'],
87
  "text": article['text'],
88
+ "time": time,
89
  }
90
  else:
91
  assert isinstance(files, str)
 
97
  "title": article['title'],
98
  "pageid": article['pageid'],
99
  "text": article['text'],
100
+ "time": time,
101
  }