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Datasets:
carolina-c4ai
/
corpus-carolina

Tasks:
Fill-Mask
Text Generation
Sub-tasks: masked-language-modeling language-modeling
Languages: Portuguese
Multilinguality: monolingual
Size Categories: 1B<n<10B
Language Creators: crowdsourced
Annotations Creators: no-annotation
Source Datasets: original
License:
Dataset card Files Community
4
guilhermelmello commited on
Commit
597f8b3
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2 Parent(s): 1133b05 55e8cc0

Merge v1.2 from branch 'dev'

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  1. README.md +17 -10
  2. corpus-carolina.py +36 -37
  3. corpus/datasets and other corpora/checksum.sha256 +153 -68
  4. corpus/datasets and other corpora/pt-BR/DAT_000032.xml.zip +0 -3
  5. corpus/datasets and other corpora/pt-BR/DAT_000033.xml.zip +0 -3
  6. corpus/datasets and other corpora/pt-BR/DAT_000034.xml.zip +0 -3
  7. corpus/datasets and other corpora/pt-BR/DAT_000035.xml.zip +0 -3
  8. corpus/datasets and other corpora/pt-BR/DAT_000037.xml.zip +0 -3
  9. corpus/datasets and other corpora/pt-BR/DAT_000038.xml.zip +0 -3
  10. corpus/datasets and other corpora/pt-BR/DAT_000039.xml.zip +0 -3
  11. corpus/datasets and other corpora/pt-BR/DAT_000040.xml.zip +0 -3
  12. corpus/datasets and other corpora/pt-BR/DAT_000041.xml.zip +0 -3
  13. corpus/datasets and other corpora/pt-BR/DAT_000042.xml.zip +0 -3
  14. corpus/datasets and other corpora/pt-BR/DAT_000043.xml.zip +0 -3
  15. corpus/datasets and other corpora/pt-BR/DAT_000044.xml.zip +0 -3
  16. corpus/datasets and other corpora/pt-BR/DAT_000045.xml.zip +0 -3
  17. corpus/datasets and other corpora/pt-BR/DAT_000046.xml.zip +0 -3
  18. corpus/datasets and other corpora/pt-BR/DAT_000047.xml.zip +0 -3
  19. corpus/datasets and other corpora/pt-BR/DAT_000048.xml.zip +0 -3
  20. corpus/datasets and other corpora/pt-BR/DAT_000049.xml.zip +0 -3
  21. corpus/datasets and other corpora/pt-BR/DAT_000050.xml.zip +0 -3
  22. corpus/datasets and other corpora/pt-BR/DAT_000051.xml.zip +0 -3
  23. corpus/datasets and other corpora/pt-BR/DAT_000052.xml.zip +0 -3
  24. corpus/datasets and other corpora/pt-BR/DAT_000053.xml.zip +0 -3
  25. corpus/datasets and other corpora/pt-BR/DAT_000054.xml.zip +0 -3
  26. corpus/datasets and other corpora/pt-BR/DAT_000055.xml.zip +0 -3
  27. corpus/datasets and other corpora/pt-BR/DAT_000056.xml.zip +0 -3
  28. corpus/datasets and other corpora/pt-BR/DAT_000057.xml.zip +0 -3
  29. corpus/datasets and other corpora/pt-BR/DAT_000058.xml.zip +0 -3
  30. corpus/datasets and other corpora/pt-BR/DAT_000059.xml.zip +0 -3
  31. corpus/datasets and other corpora/pt-BR/DAT_000060.xml.zip +0 -3
  32. corpus/datasets and other corpora/pt-BR/DAT_000061.xml.zip +0 -3
  33. corpus/datasets and other corpora/pt-BR/DAT_000062.xml.zip +0 -3
  34. corpus/datasets and other corpora/pt-BR/DAT_000065.xml.zip +0 -3
  35. corpus/datasets and other corpora/pt-BR/DAT_000066.xml.zip +0 -3
  36. corpus/datasets and other corpora/pt-BR/DAT_000067.xml.zip +0 -3
  37. corpus/datasets and other corpora/pt-BR/{DAT_000030.xml.zip → DATa.xml.gz} +2 -2
  38. corpus/datasets and other corpora/pt-BR/{DAT_000031.xml.zip → DATaa.xml.gz} +2 -2
  39. corpus/datasets and other corpora/pt-BR/{DAT_000063.xml.zip → DATab.xml.gz} +2 -2
  40. corpus/datasets and other corpora/pt-BR/{DAT_000064.xml.zip → DATac.xml.gz} +2 -2
  41. corpus/datasets and other corpora/pt-BR/DATad.xml.gz +3 -0
  42. corpus/datasets and other corpora/pt-BR/DATae.xml.gz +3 -0
  43. corpus/datasets and other corpora/pt-BR/DATaf.xml.gz +3 -0
  44. corpus/datasets and other corpora/pt-BR/DATag.xml.gz +3 -0
  45. corpus/datasets and other corpora/pt-BR/DATah.xml.gz +3 -0
  46. corpus/datasets and other corpora/pt-BR/DATai.xml.gz +3 -0
  47. corpus/datasets and other corpora/pt-BR/DATaj.xml.gz +3 -0
  48. corpus/datasets and other corpora/pt-BR/DATak.xml.gz +3 -0
  49. corpus/datasets and other corpora/pt-BR/{DAT_000036.xml.zip → DATal.xml.gz} +2 -2
  50. corpus/datasets and other corpora/pt-BR/DATam.xml.gz +3 -0
README.md CHANGED
@@ -46,8 +46,8 @@ language_bcp47:
46
  ## Dataset Description
47
 
48
  - **Homepage:** [sites.usp.br/corpuscarolina](https://sites.usp.br/corpuscarolina/)
49
- - **Current Version:** 1.1 (Ada)
50
- - **Point of Contact:** [Guilherme L. Mello](mailto:guilhermelmello@ime.usp.br)
51
 
52
 
53
  ### Dataset Summary
@@ -67,6 +67,10 @@ The documents are clustered into taxonomies and the corpus can be loaded in comp
67
  - `uni` : university domains;
68
  - `wik` : wikis.
69
 
 
 
 
 
70
  Usage Example:
71
 
72
  ```python
@@ -77,6 +81,9 @@ corpus_carolina = load_dataset("carolina-c4ai/corpus-carolina")
77
 
78
  # to load social media documents
79
  social_media = load_dataset("carolina-c4ai/corpus-carolina", taxonomy="soc")
 
 
 
80
  ```
81
 
82
  ### Supported Tasks
@@ -110,14 +117,14 @@ Every instance have the following structure.
110
 
111
  | Code | Taxonomy | Instances | Size |
112
  |:----:|:---------------------------|----------:|-------:|
113
- | | **Total** | 1745187 | 7.3 GB |
114
- | dat | Datasets and other Corpora | 1098717 | 3.3 GB |
115
- | wik | Wikis | 603968 | 2.6 GB |
116
- | jud | Judicial Branch | 38068 | 1.4 GB |
117
- | leg | Legislative Branch | 14 | 20 MB |
118
- | soc | Social Media | 3449 | 15 MB |
119
- | uni | University Domains | 945 | 9.4 MB |
120
- | pub | Public Domain Works | 26 | 3.6 MB |
121
  ||
122
 
123
 
46
  ## Dataset Description
47
 
48
  - **Homepage:** [sites.usp.br/corpuscarolina](https://sites.usp.br/corpuscarolina/)
49
+ - **Current Version:** 1.2 (Ada)
50
+ - **Point of Contact:** [LaViHD](mailto:lavihd@usp.br)
51
 
52
 
53
  ### Dataset Summary
67
  - `uni` : university domains;
68
  - `wik` : wikis.
69
 
70
+ Dataset Vesioning:
71
+
72
+ The Carolina Corpus is under continuous development resulting in multiple vesions. The current version is v1.2, but v1.1 is also available. You can access diferent vesions of the corpus using the `revision` parameter on `load_dataset`.
73
+
74
  Usage Example:
75
 
76
  ```python
81
 
82
  # to load social media documents
83
  social_media = load_dataset("carolina-c4ai/corpus-carolina", taxonomy="soc")
84
+
85
+ # to load previous version
86
+ corpus_carolina = load_dataset("carolina-c4ai/corpus-carolina", revision="v1.1")
87
  ```
88
 
89
  ### Supported Tasks
117
 
118
  | Code | Taxonomy | Instances | Size |
119
  |:----:|:---------------------------|----------:|-------:|
120
+ | | **Total** | 2107045 | 11 GB |
121
+ | dat | Datasets and other Corpora | 1102049 | 4.4 GB |
122
+ | wik | Wikis | 960139 | 5.2 GB |
123
+ | jud | Judicial Branch | 40464 | 1.5 GB |
124
+ | leg | Legislative Branch | 13 | 25 MB |
125
+ | soc | Social Media | 3413 | 17 MB |
126
+ | uni | University Domains | 941 | 10 MB |
127
+ | pub | Public Domain Works | 26 | 4.5 MB |
128
  ||
129
 
130
 
corpus-carolina.py CHANGED
@@ -14,9 +14,11 @@
14
  # limitations under the License.
15
  """Carolina Corpus"""
16
 
 
17
  from lxml import etree
18
  import os
19
  import datasets
 
20
 
21
 
22
  _HOMEPAGE = "https://sites.usp.br/corpuscarolina/"
@@ -30,7 +32,7 @@ robust volume of texts of varied typology in contemporary Brazilian Portuguese
30
 
31
 
32
  _CITATION = r"""
33
- @misc{corpusCarolinaV1.1,
34
  title={
35
  Carolina:
36
  The Open Corpus for Linguistics and Artificial Intelligence},
@@ -52,7 +54,7 @@ _CITATION = r"""
52
  Palma, Mayara Feliciano},
53
  howpublished={\url{https://sites.usp.br/corpuscarolina/corpus}},
54
  year={2022},
55
- note={Version 1.1 (Ada)},
56
  }
57
  """
58
 
@@ -81,13 +83,13 @@ def _taxonomies():
81
  leg="legislative branch",
82
  pub="public domain works",
83
  soc="social media",
84
- uni="university_domains",
85
  wik="wikis",
86
  )
87
 
88
 
89
- _VERSION = "1.1.0"
90
- _CORPUS_URL = "corpus/{taxonomy}/"
91
  _CHECKSUM_FNAME = _CORPUS_URL + "checksum.sha256"
92
 
93
 
@@ -140,6 +142,7 @@ class Carolina(datasets.GeneratorBasedBuilder):
140
 
141
  return datasets.DatasetInfo(
142
  description=_DESCRIPTION,
 
143
  homepage=_HOMEPAGE,
144
  citation=_CITATION,
145
  features=features,
@@ -153,37 +156,26 @@ class Carolina(datasets.GeneratorBasedBuilder):
153
  else:
154
  taxonomies = [_taxonomies()[self.config.taxonomy]]
155
 
156
- zip_urls = dict()
157
- for taxonomy in taxonomies:
158
- # download checksum file
159
- checksum_path = _CHECKSUM_FNAME.format(taxonomy=taxonomy)
160
- checksum_path = dl_manager.download(checksum_path)
161
 
162
- tax_url = _CORPUS_URL.format(taxonomy=taxonomy)
163
-
164
- # extract and build zip urls
165
- with open(checksum_path, encoding="utf-8") as cfile:
 
166
  for line in cfile:
167
- fname = line.split()[1]
168
- if fname.endswith(".xml.zip"):
169
- zip_url = tax_url + fname # download url
170
- fname = os.path.split(fname)[1] # removes subdirs
171
- fname = fname[:-4] # removes .zip
172
- zip_urls[fname] = zip_url # xml -> zip url
173
-
174
- # extractions are made in cache folders and
175
- # the path returned is the folder path, not the
176
- # extracted file (or files). It is necessary to
177
- # build the xml file path. It is made using the
178
- # zip_urls dict structure.
179
- extracted = dl_manager.download_and_extract(zip_urls)
180
- xml_files = [os.path.join(v, k) for k, v in extracted.items()]
181
- xml_files = sorted(xml_files)
182
 
 
183
  return [
184
  datasets.SplitGenerator(
185
  name="corpus",
186
- gen_kwargs={"filepaths": xml_files}
187
  )
188
  ]
189
 
@@ -197,14 +189,21 @@ class Carolina(datasets.GeneratorBasedBuilder):
197
 
198
  _key = 0
199
  for path in filepaths:
200
- # parse xml file
201
- for _, tei in etree.iterparse(path, **parser_params):
202
  header = tei.find(f"{TEI_NS}teiHeader")
203
 
204
- example = {
205
- "meta": etree.tostring(
206
- header, encoding="utf-8").decode("utf-8"),
207
- "text": tei.find(f".//{TEI_NS}body/{TEI_NS}p").text
 
 
 
 
 
 
208
  }
209
- yield _key, example
210
  _key += 1
 
 
14
  # limitations under the License.
15
  """Carolina Corpus"""
16
 
17
+ from collections import defaultdict
18
  from lxml import etree
19
  import os
20
  import datasets
21
+ import gzip
22
 
23
 
24
  _HOMEPAGE = "https://sites.usp.br/corpuscarolina/"
32
 
33
 
34
  _CITATION = r"""
35
+ @misc{corpusCarolinaV1.2,
36
  title={
37
  Carolina:
38
  The Open Corpus for Linguistics and Artificial Intelligence},
54
  Palma, Mayara Feliciano},
55
  howpublished={\url{https://sites.usp.br/corpuscarolina/corpus}},
56
  year={2022},
57
+ note={Version 1.2 (Ada)},
58
  }
59
  """
60
 
83
  leg="legislative branch",
84
  pub="public domain works",
85
  soc="social media",
86
+ uni="university domains",
87
  wik="wikis",
88
  )
89
 
90
 
91
+ _VERSION = "1.2.0"
92
+ _CORPUS_URL = "corpus/{tax}/"
93
  _CHECKSUM_FNAME = _CORPUS_URL + "checksum.sha256"
94
 
95
 
142
 
143
  return datasets.DatasetInfo(
144
  description=_DESCRIPTION,
145
+ supervised_keys=None,
146
  homepage=_HOMEPAGE,
147
  citation=_CITATION,
148
  features=features,
156
  else:
157
  taxonomies = [_taxonomies()[self.config.taxonomy]]
158
 
159
+ # download checksum files
160
+ checksum_urls = {t: _CHECKSUM_FNAME.format(tax=t) for t in taxonomies}
161
+ checksum_paths = dl_manager.download(checksum_urls)
 
 
162
 
163
+ # prepare xml file name and zip urls
164
+ gzip_urls = list()
165
+ for tax, cpath in checksum_paths.items():
166
+ tax_path = _CORPUS_URL.format(tax=tax)
167
+ with open(cpath, encoding="utf-8") as cfile:
168
  for line in cfile:
169
+ xml_tax_path = line.split()[1] # xml file inside taxonomy
170
+ zip_fname = xml_tax_path + ".gz" # zip file inside taxonomy
171
+ zip_fpath = os.path.join(tax_path, zip_fname) # path inside corpus
172
+ gzip_urls.append(zip_fpath)
 
 
 
 
 
 
 
 
 
 
 
173
 
174
+ gzip_files = dl_manager.download(gzip_urls)
175
  return [
176
  datasets.SplitGenerator(
177
  name="corpus",
178
+ gen_kwargs={"filepaths": gzip_files}
179
  )
180
  ]
181
 
189
 
190
  _key = 0
191
  for path in filepaths:
192
+ gzip_file = gzip.GzipFile(path, "rb")
193
+ for _, tei in etree.iterparse(gzip_file, **parser_params):
194
  header = tei.find(f"{TEI_NS}teiHeader")
195
 
196
+ meta = etree.tostring(
197
+ header, encoding="utf-8").decode("utf-8")
198
+ text = ' '.join([e.text
199
+ for e in tei.findall(f".//{TEI_NS}body/{TEI_NS}p")
200
+ if e.text is not None
201
+ ])
202
+
203
+ yield _key, {
204
+ "meta": meta,
205
+ "text": text
206
  }
 
207
  _key += 1
208
+
209
+ gzip_file.close()
corpus/datasets and other corpora/checksum.sha256 CHANGED
@@ -1,68 +1,153 @@
1
- 25d054cf72869195fa622eb919024ea7c37dbf446dd0dd0c571e68bdc0765e76 pt-BR/DAT_000030.xml.zip
2
- 8625d7564e93668c21f224236b186f07b17b44dfd852f4a9355820bfc52523d3 pt-BR/DAT_000031.xml.zip
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13
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14
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15
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16
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17
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18
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19
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20
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21
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22
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23
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