Datasets:

Modalities:
Text
Formats:
parquet
Languages:
English
ArXiv:
Libraries:
Datasets
Dask
License:
albertvillanova HF staff commited on
Commit
9f7c666
1 Parent(s): 8aaa8b2

Delete loading script

Browse files
Files changed (1) hide show
  1. wikitext.py +0 -192
wikitext.py DELETED
@@ -1,192 +0,0 @@
1
- """TODO(wikitext): Add a description here."""
2
-
3
-
4
- import os
5
-
6
- import datasets
7
-
8
-
9
- _CITATION = """\
10
- @misc{merity2016pointer,
11
- title={Pointer Sentinel Mixture Models},
12
- author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},
13
- year={2016},
14
- eprint={1609.07843},
15
- archivePrefix={arXiv},
16
- primaryClass={cs.CL}
17
- }
18
- """
19
-
20
- _DESCRIPTION = """\
21
- The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified
22
- Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike
23
- License.
24
- """
25
- _HOMEPAGE = "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/"
26
- _LICENSE = "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)"
27
- _DATA_URL = "https://s3.amazonaws.com/research.metamind.io/wikitext"
28
-
29
-
30
- class WikitextConfig(datasets.BuilderConfig):
31
- """BuilderConfig for GLUE."""
32
-
33
- def __init__(self, data_url, **kwargs):
34
- """BuilderConfig for Wikitext
35
-
36
- Args:
37
- data_url: `string`, url to the dataset (word or raw level)
38
- **kwargs: keyword arguments forwarded to super.
39
- """
40
- super(WikitextConfig, self).__init__(
41
- version=datasets.Version(
42
- "1.0.0",
43
- ),
44
- **kwargs,
45
- )
46
- self.data_url = data_url
47
-
48
-
49
- class Wikitext(datasets.GeneratorBasedBuilder):
50
- """TODO(wikitext_103): Short description of my dataset."""
51
-
52
- # TODO(wikitext_103): Set up version.
53
- VERSION = datasets.Version("0.1.0")
54
- BUILDER_CONFIGS = [
55
- WikitextConfig(
56
- name="wikitext-103-v1",
57
- data_url=_DATA_URL + "/" + "wikitext-103-v1.zip",
58
- description="Word level dataset. No processing is needed other than replacing newlines with <eos> tokens.",
59
- ),
60
- WikitextConfig(
61
- name="wikitext-2-v1",
62
- data_url=_DATA_URL + "/" + "wikitext-2-v1.zip",
63
- description="Word level dataset. No processing is needed other than replacing newlines with <eos> tokens.",
64
- ),
65
- WikitextConfig(
66
- name="wikitext-103-raw-v1",
67
- data_url=_DATA_URL + "/" + "wikitext-103-raw-v1.zip",
68
- description="Raw level dataset: the raw tokens before the addition of <unk> tokens. "
69
- "They should only be used for character level work or for creating newly derived datasets.",
70
- ),
71
- WikitextConfig(
72
- name="wikitext-2-raw-v1",
73
- data_url=_DATA_URL + "/" + "wikitext-2-raw-v1.zip",
74
- description="Raw level dataset: the raw tokens before the addition of <unk> tokens. "
75
- "They should only be used for character level work or for creating newly derived datasets.",
76
- ),
77
- ]
78
-
79
- def _info(self):
80
- # TODO(wikitext): Specifies the datasets.DatasetInfo object
81
- return datasets.DatasetInfo(
82
- # This is the description that will appear on the datasets page.
83
- description=_DESCRIPTION,
84
- # datasets.features.FeatureConnectors
85
- features=datasets.Features(
86
- {
87
- "text": datasets.Value("string")
88
- # These are the features of your dataset like images, labels ...
89
- }
90
- ),
91
- # If there's a common (input, target) tuple from the features,
92
- # specify them here. They'll be used if as_supervised=True in
93
- # builder.as_dataset.
94
- supervised_keys=None,
95
- homepage=_HOMEPAGE,
96
- license=_LICENSE,
97
- citation=_CITATION,
98
- )
99
-
100
- def _split_generators(self, dl_manager):
101
- """Returns SplitGenerators."""
102
- # TODO(wikitext): Downloads the data and defines the splits
103
- # dl_manager is a datasets.download.DownloadManager that can be used to
104
- # download and extract URLs
105
- if self.config.name == "wikitext-103-v1":
106
- data_file = dl_manager.download_and_extract(self.config.data_url)
107
- data_dir = os.path.join(data_file, "wikitext-103")
108
- return [
109
- datasets.SplitGenerator(
110
- name=datasets.Split.TEST,
111
- gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.tokens"), "split": "test"},
112
- ),
113
- datasets.SplitGenerator(
114
- name=datasets.Split.TRAIN,
115
- gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.tokens"), "split": "train"},
116
- ),
117
- datasets.SplitGenerator(
118
- name=datasets.Split.VALIDATION,
119
- gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.tokens"), "split": "valid"},
120
- ),
121
- ]
122
- else:
123
- if self.config.name == "wikitext-103-raw-v1":
124
- data_file = dl_manager.download_and_extract(self.config.data_url)
125
- data_dir = os.path.join(data_file, "wikitext-103-raw")
126
- return [
127
- datasets.SplitGenerator(
128
- name=datasets.Split.TEST,
129
- gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.raw"), "split": "test"},
130
- ),
131
- datasets.SplitGenerator(
132
- name=datasets.Split.TRAIN,
133
- gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.raw"), "split": "train"},
134
- ),
135
- datasets.SplitGenerator(
136
- name=datasets.Split.VALIDATION,
137
- gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.raw"), "split": "valid"},
138
- ),
139
- ]
140
- else:
141
- if self.config.name == "wikitext-2-raw-v1":
142
- data_file = dl_manager.download_and_extract(self.config.data_url)
143
- data_dir = os.path.join(data_file, "wikitext-2-raw")
144
- return [
145
- datasets.SplitGenerator(
146
- name=datasets.Split.TEST,
147
- gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.raw"), "split": "test"},
148
- ),
149
- datasets.SplitGenerator(
150
- name=datasets.Split.TRAIN,
151
- gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.raw"), "split": "train"},
152
- ),
153
- datasets.SplitGenerator(
154
- name=datasets.Split.VALIDATION,
155
- gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.raw"), "split": "valid"},
156
- ),
157
- ]
158
- else:
159
- if self.config.name == "wikitext-2-v1":
160
- data_file = dl_manager.download_and_extract(self.config.data_url)
161
- data_dir = os.path.join(data_file, "wikitext-2")
162
- return [
163
- datasets.SplitGenerator(
164
- name=datasets.Split.TEST,
165
- gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.tokens"), "split": "test"},
166
- ),
167
- datasets.SplitGenerator(
168
- name=datasets.Split.TRAIN,
169
- gen_kwargs={
170
- "data_file": os.path.join(data_dir, "wiki.train.tokens"),
171
- "split": "train",
172
- },
173
- ),
174
- datasets.SplitGenerator(
175
- name=datasets.Split.VALIDATION,
176
- gen_kwargs={
177
- "data_file": os.path.join(data_dir, "wiki.valid.tokens"),
178
- "split": "valid",
179
- },
180
- ),
181
- ]
182
-
183
- def _generate_examples(self, data_file, split):
184
-
185
- """Yields examples."""
186
- # TODO(wikitext): Yields (key, example) tuples from the dataset
187
- with open(data_file, encoding="utf-8") as f:
188
- for idx, row in enumerate(f):
189
- if row.strip():
190
- yield idx, {"text": row}
191
- else:
192
- yield idx, {"text": ""}