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Datasets:
Skylion007
/
openwebtext

Tasks:
Text Generation
Fill-Mask
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-modeling
masked-language-modeling
Languages:
English
Size:
1M - 10M
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
Community
24
Skylion007 lhoestq HF Staff commited on
Commit
b4325f0
·
verified ·
1 Parent(s): a8d82a6

Convert dataset to Parquet (part 00001-of-00002) (#23)

Browse files

- Convert dataset to Parquet (part 00001-of-00002) (4dffeee9b702322bfb4aa75ef0d10deca95c9b2b)
- Delete data file (a9d5909c1472a835aa28cad2219fe084189c6215)
- Delete loading script (674a3273bf7db4c4640b1f21debb39e3a78955e8)
- Delete data file (921629e79c494af81010422d6827a6baeebf5530)
- Delete data file (b0b7a4fdcaa184c02b669b319f992b709d058a91)
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- Delete data file (bee7a3d45ee3df31c809c2085d3014907a46f2fb)


Co-authored-by: Quentin Lhoest <lhoestq@users.noreply.huggingface.co>

Files changed (49) hide show
  1. README.md +8 -2
  2. openwebtext.py +0 -79
  3. subsets/urlsf_subset03.tar → plain_text/train-00050-of-00080.parquet +2 -2
  4. subsets/urlsf_subset00.tar → plain_text/train-00051-of-00080.parquet +2 -2
  5. subsets/urlsf_subset01.tar → plain_text/train-00052-of-00080.parquet +2 -2
  6. subsets/urlsf_subset02.tar → plain_text/train-00053-of-00080.parquet +2 -2
  7. plain_text/train-00054-of-00080.parquet +3 -0
  8. plain_text/train-00055-of-00080.parquet +3 -0
  9. plain_text/train-00056-of-00080.parquet +3 -0
  10. plain_text/train-00057-of-00080.parquet +3 -0
  11. plain_text/train-00058-of-00080.parquet +3 -0
  12. plain_text/train-00059-of-00080.parquet +3 -0
  13. plain_text/train-00060-of-00080.parquet +3 -0
  14. plain_text/train-00061-of-00080.parquet +3 -0
  15. plain_text/train-00062-of-00080.parquet +3 -0
  16. plain_text/train-00063-of-00080.parquet +3 -0
  17. plain_text/train-00064-of-00080.parquet +3 -0
  18. plain_text/train-00065-of-00080.parquet +3 -0
  19. plain_text/train-00066-of-00080.parquet +3 -0
  20. plain_text/train-00067-of-00080.parquet +3 -0
  21. plain_text/train-00068-of-00080.parquet +3 -0
  22. plain_text/train-00069-of-00080.parquet +3 -0
  23. plain_text/train-00070-of-00080.parquet +3 -0
  24. plain_text/train-00071-of-00080.parquet +3 -0
  25. plain_text/train-00072-of-00080.parquet +3 -0
  26. plain_text/train-00073-of-00080.parquet +3 -0
  27. plain_text/train-00074-of-00080.parquet +3 -0
  28. plain_text/train-00075-of-00080.parquet +3 -0
  29. plain_text/train-00076-of-00080.parquet +3 -0
  30. plain_text/train-00077-of-00080.parquet +3 -0
  31. plain_text/train-00078-of-00080.parquet +3 -0
  32. plain_text/train-00079-of-00080.parquet +3 -0
  33. subsets/urlsf_subset04.tar +0 -3
  34. subsets/urlsf_subset05.tar +0 -3
  35. subsets/urlsf_subset06.tar +0 -3
  36. subsets/urlsf_subset07.tar +0 -3
  37. subsets/urlsf_subset08.tar +0 -3
  38. subsets/urlsf_subset09.tar +0 -3
  39. subsets/urlsf_subset10.tar +0 -3
  40. subsets/urlsf_subset11.tar +0 -3
  41. subsets/urlsf_subset12.tar +0 -3
  42. subsets/urlsf_subset13.tar +0 -3
  43. subsets/urlsf_subset14.tar +0 -3
  44. subsets/urlsf_subset15.tar +0 -3
  45. subsets/urlsf_subset16.tar +0 -3
  46. subsets/urlsf_subset17.tar +0 -3
  47. subsets/urlsf_subset18.tar +0 -3
  48. subsets/urlsf_subset19.tar +0 -3
  49. subsets/urlsf_subset20.tar +0 -3
README.md CHANGED
@@ -22,16 +22,22 @@ task_ids:
22
  - masked-language-modeling
23
  paperswithcode_id: openwebtext
24
  dataset_info:
 
25
  features:
26
  - name: text
27
  dtype: string
28
- config_name: plain_text
29
  splits:
30
  - name: train
31
  num_bytes: 39769491688
32
  num_examples: 8013769
33
- download_size: 12880189440
34
  dataset_size: 39769491688
 
 
 
 
 
 
35
  ---
36
 
37
  # Dataset Card for "openwebtext"
 
22
  - masked-language-modeling
23
  paperswithcode_id: openwebtext
24
  dataset_info:
25
+ config_name: plain_text
26
  features:
27
  - name: text
28
  dtype: string
 
29
  splits:
30
  - name: train
31
  num_bytes: 39769491688
32
  num_examples: 8013769
33
+ download_size: 24193092408
34
  dataset_size: 39769491688
35
+ configs:
36
+ - config_name: plain_text
37
+ data_files:
38
+ - split: train
39
+ path: plain_text/train-*
40
+ default: true
41
  ---
42
 
43
  # Dataset Card for "openwebtext"
openwebtext.py DELETED
@@ -1,79 +0,0 @@
1
- # coding=utf-8
2
- # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
3
- #
4
- # Licensed under the Apache License, Version 2.0 (the "License");
5
- # you may not use this file except in compliance with the License.
6
- # You may obtain a copy of the License at
7
- #
8
- # http://www.apache.org/licenses/LICENSE-2.0
9
- #
10
- # Unless required by applicable law or agreed to in writing, software
11
- # distributed under the License is distributed on an "AS IS" BASIS,
12
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
- # See the License for the specific language governing permissions and
14
- # limitations under the License.
15
- """The Open WebText Corpus"""
16
-
17
- import re
18
-
19
- import datasets
20
-
21
-
22
- _CITATION = """\
23
- @misc{Gokaslan2019OpenWeb,
24
- title={OpenWebText Corpus},
25
- author={Aaron Gokaslan*, Vanya Cohen*, Ellie Pavlick, Stefanie Tellex},
26
- howpublished{\\url{http://Skylion007.github.io/OpenWebTextCorpus}},
27
- year={2019}
28
- }
29
- """
30
-
31
- _DESCRIPTION = """\
32
- An open-source replication of the WebText dataset from OpenAI.
33
- """
34
-
35
- _N_DATA_FILES = 21
36
- _DATA_FILES = ["subsets/urlsf_subset{:02d}.tar".format(i) for i in range(_N_DATA_FILES)]
37
-
38
-
39
- class Openwebtext(datasets.GeneratorBasedBuilder):
40
- """The Open WebText dataset."""
41
-
42
- BUILDER_CONFIGS = [
43
- datasets.BuilderConfig(
44
- name="plain_text",
45
- description="Plain text",
46
- version=datasets.Version("1.0.0"),
47
- )
48
- ]
49
-
50
- def _info(self):
51
- return datasets.DatasetInfo(
52
- description=_DESCRIPTION,
53
- features=datasets.Features({"text": datasets.Value("string")}),
54
- homepage="https://skylion007.github.io/OpenWebTextCorpus/",
55
- citation=_CITATION,
56
- )
57
-
58
- def _split_generators(self, dl_manager):
59
- archives = dl_manager.download(_DATA_FILES)
60
- return [
61
- datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={
62
- "archive_iterators": [
63
- dl_manager.iter_archive(archive) for archive in archives
64
- ],
65
- "iter_archive": dl_manager.iter_archive
66
- }),
67
- ]
68
-
69
- def _generate_examples(self, archive_iterators, iter_archive):
70
- """Yields examples."""
71
- for archive_iterator in archive_iterators:
72
- for xz_filepath, xz_f in archive_iterator:
73
- if not xz_filepath.endswith(".xz"):
74
- continue
75
- for txt_filepath, txt_f in iter_archive(xz_f):
76
- if not txt_filepath.endswith(".txt"):
77
- continue
78
- idx = f"{xz_filepath}/{txt_filepath}"
79
- yield idx, {"text": re.sub("\n\n\n+", "\n\n", txt_f.read().decode("utf-8")).strip()}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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