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#1
by lhoestq HF staff - opened
Files changed (1) hide show
  1. AmericanStories.py +14 -23
AmericanStories.py CHANGED
@@ -1,11 +1,6 @@
1
  import json
2
- import tarfile
3
  from datasets import DatasetInfo, DatasetBuilder, DownloadManager, BuilderConfig, SplitGenerator, Split, Version
4
  import datasets
5
- import os
6
- import requests
7
- import re
8
- from tqdm import tqdm
9
 
10
  SUPPORTED_YEARS = ["1774"]
11
  # Add years from 1798 to 1964 to the supported years
@@ -19,14 +14,12 @@ def make_year_file_splits():
19
  dict: A dictionary mapping each year to its corresponding file URL.
20
  list: A list of years.
21
  """
22
- base_url = "https://huggingface.co/datasets/dell-research-harvard/AmericanStories/resolve/main/"
23
 
24
  # Make a list of years from 1774 to 1960
25
  year_list = [str(year) for year in range(1774, 1960)]
26
  data_files = [f"faro_{year}.tar.gz" for year in year_list]
27
- url_list = [base_url + file for file in data_files]
28
 
29
- splits = {year: file for year, file in zip(year_list, url_list)}
30
  years = year_list
31
 
32
  return splits, years
@@ -46,7 +39,7 @@ _FILE_DICT, _YEARS = make_year_file_splits()
46
  class CustomBuilderConfig(datasets.BuilderConfig):
47
  """BuilderConfig for AmericanStories dataset with different configurations."""
48
 
49
- def __init__(self, year_list=None,features=["article_id", "newspaper_name", "edition", "date", "page", "headline", "byline", "article"], **kwargs):
50
  """
51
  BuilderConfig for AmericanStories dataset.
52
 
@@ -56,7 +49,6 @@ class CustomBuilderConfig(datasets.BuilderConfig):
56
  """
57
  super(CustomBuilderConfig, self).__init__(**kwargs)
58
  self.year_list = year_list
59
- self.features = features
60
 
61
 
62
  class AmericanStories(datasets.GeneratorBasedBuilder):
@@ -92,6 +84,8 @@ class AmericanStories(datasets.GeneratorBasedBuilder):
92
  ]
93
  DEFAULT_CONFIG_NAME = "subset_years"
94
 
 
 
95
  def _info(self):
96
  """
97
  Specifies the DatasetInfo object for the AmericanStories dataset.
@@ -152,21 +146,22 @@ class AmericanStories(datasets.GeneratorBasedBuilder):
152
  urls = {year: urls[year] for year in self.config.year_list}
153
  year_list = self.config.year_list
154
 
155
- data_dir = dl_manager.download_and_extract(urls)
156
 
157
  # Return a list of splits, where each split corresponds to a year
158
  return [
159
  datasets.SplitGenerator(
160
  name=year,
161
  gen_kwargs={
162
- "year_dir": os.path.join(data_dir[year], "mnt", "122a7683-fa4b-45dd-9f13-b18cc4f4a187", "ca_rule_based_fa_clean", "faro_" + year),
 
163
  "split": year,
164
  "associated": True if not self.config.name.endswith("content_regions") else False,
165
  },
166
  ) for year in year_list
167
  ]
168
 
169
- def _generate_examples(self, year_dir,split, associated):
170
  """
171
  Generates examples for the specified year and split.
172
 
@@ -177,12 +172,11 @@ class AmericanStories(datasets.GeneratorBasedBuilder):
177
  Yields:
178
  tuple: The key-value pair containing the example ID and the example data.
179
  """
180
- print("Associated: " + str(associated))
181
  if associated:
182
- for filepath in os.listdir(year_dir):
183
- with open(os.path.join(year_dir, filepath), encoding="utf-8") as f:
184
  try :
185
- data = json.load(f)
186
  except:
187
  print("Error loading file: " + filepath)
188
  continue
@@ -206,18 +200,15 @@ class AmericanStories(datasets.GeneratorBasedBuilder):
206
  "article": article["article"],
207
  }
208
  else:
209
- print("Returning a json as a string, feel free to parse it yourself!")
210
- for filepath in os.listdir(year_dir):
211
- with open(os.path.join(year_dir, filepath), encoding="utf-8") as f:
212
  try :
213
- data = json.load(f)
214
  except:
215
  # print("Error loading file: " + filepath)
216
  continue
217
  ###Convert json to strng
218
  data=json.dumps(data)
219
- print((data))
220
- print(type(data))
221
  scan_id=filepath.split('.')[0]
222
  ##Yield the scan id and the raw data string
223
  yield scan_id, {
 
1
  import json
 
2
  from datasets import DatasetInfo, DatasetBuilder, DownloadManager, BuilderConfig, SplitGenerator, Split, Version
3
  import datasets
 
 
 
 
4
 
5
  SUPPORTED_YEARS = ["1774"]
6
  # Add years from 1798 to 1964 to the supported years
 
14
  dict: A dictionary mapping each year to its corresponding file URL.
15
  list: A list of years.
16
  """
 
17
 
18
  # Make a list of years from 1774 to 1960
19
  year_list = [str(year) for year in range(1774, 1960)]
20
  data_files = [f"faro_{year}.tar.gz" for year in year_list]
 
21
 
22
+ splits = {year: file for year, file in zip(year_list, data_files)}
23
  years = year_list
24
 
25
  return splits, years
 
39
  class CustomBuilderConfig(datasets.BuilderConfig):
40
  """BuilderConfig for AmericanStories dataset with different configurations."""
41
 
42
+ def __init__(self, year_list=None, **kwargs):
43
  """
44
  BuilderConfig for AmericanStories dataset.
45
 
 
49
  """
50
  super(CustomBuilderConfig, self).__init__(**kwargs)
51
  self.year_list = year_list
 
52
 
53
 
54
  class AmericanStories(datasets.GeneratorBasedBuilder):
 
84
  ]
85
  DEFAULT_CONFIG_NAME = "subset_years"
86
 
87
+ BUILDER_CONFIG_CLASS = CustomBuilderConfig
88
+
89
  def _info(self):
90
  """
91
  Specifies the DatasetInfo object for the AmericanStories dataset.
 
146
  urls = {year: urls[year] for year in self.config.year_list}
147
  year_list = self.config.year_list
148
 
149
+ archive = dl_manager.download(urls)
150
 
151
  # Return a list of splits, where each split corresponds to a year
152
  return [
153
  datasets.SplitGenerator(
154
  name=year,
155
  gen_kwargs={
156
+ "files": dl_manager.iter_archive(archive[year]),
157
+ "year_dir": "/".join(["mnt", "122a7683-fa4b-45dd-9f13-b18cc4f4a187", "ca_rule_based_fa_clean", "faro_" + year]),
158
  "split": year,
159
  "associated": True if not self.config.name.endswith("content_regions") else False,
160
  },
161
  ) for year in year_list
162
  ]
163
 
164
+ def _generate_examples(self, files, year_dir, split, associated):
165
  """
166
  Generates examples for the specified year and split.
167
 
 
172
  Yields:
173
  tuple: The key-value pair containing the example ID and the example data.
174
  """
 
175
  if associated:
176
+ for filepath, f in files:
177
+ if filepath.startswith(year_dir):
178
  try :
179
+ data = json.loads(f.read().decode("utf-8"))
180
  except:
181
  print("Error loading file: " + filepath)
182
  continue
 
200
  "article": article["article"],
201
  }
202
  else:
203
+ for filepath, f in files:
204
+ if filepath.startswith(year_dir):
 
205
  try :
206
+ data = json.loads(f.read().decode("utf-8"))
207
  except:
208
  # print("Error loading file: " + filepath)
209
  continue
210
  ###Convert json to strng
211
  data=json.dumps(data)
 
 
212
  scan_id=filepath.split('.')[0]
213
  ##Yield the scan id and the raw data string
214
  yield scan_id, {