init commit
Browse files- .gitattributes +7 -0
- LICENSE.txt +339 -0
- README.txt +63 -0
- test/test.box +3 -0
- test/test.id +0 -0
- test/test.nb +0 -0
- test/test.sent +0 -0
- train/train.contributors +3 -0
- train/train.id +0 -0
- train/train.nb +0 -0
- train/train.sent +3 -0
- train/train.title +3 -0
- train/train.url +3 -0
- valid/valid.box +3 -0
- valid/valid.contributors +0 -0
- valid/valid.id +0 -0
- valid/valid.nb +0 -0
- valid/valid.sent +3 -0
- valid/valid.title +0 -0
- valid/valid.url +0 -0
.gitattributes
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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test/test.box filter=lfs diff=lfs merge=lfs -text
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train/train.contributors filter=lfs diff=lfs merge=lfs -text
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train/train.sent filter=lfs diff=lfs merge=lfs -text
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train/train.title filter=lfs diff=lfs merge=lfs -text
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train/train.url filter=lfs diff=lfs merge=lfs -text
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valid/valid.box filter=lfs diff=lfs merge=lfs -text
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valid/valid.sent filter=lfs diff=lfs merge=lfs -text
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LICENSE.txt
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|
README.txt
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|
1 |
+
== WikiBio (wikipedia biography dataset) ==
|
2 |
+
|
3 |
+
This dataset gathers 728,321 biographies from wikipedia. It aims at evaluating
|
4 |
+
text generation algorithms. For each article, we provide the first paragraph
|
5 |
+
and the infobox (both tokenized). It was used in our work,
|
6 |
+
|
7 |
+
Neural Text Generation from Structured Data with Application to the Biography Domain
|
8 |
+
Rémi Lebret, David Grangier and Michael Auli,
|
9 |
+
EMNLP 16, http://arxiv.org/abs/1603.07771
|
10 |
+
|
11 |
+
This publication provides further information about the data and we kindly ask
|
12 |
+
you to cite this paper when using the data. The data was extracted from the
|
13 |
+
English wikipedia dump (enwiki-20150901) relying on the articles refered by
|
14 |
+
WikiProject Biography [1].
|
15 |
+
|
16 |
+
For each article, we extracted the first paragraph (text), the infobox
|
17 |
+
(structured data). Each infobox is encoded as a list of (field name, field
|
18 |
+
value) pairs. We used Stanford CoreNLP [2] to preprocess the data, i.e. we
|
19 |
+
broke the text into sentences and tokenized both the text and the field
|
20 |
+
values. The dataset was randomly split in three subsets train (80%), valid
|
21 |
+
(10%), test (10%). We strongly recommend using test only for the final
|
22 |
+
evaluation.
|
23 |
+
|
24 |
+
The data is organised in three subdirectories for train, valid and test.
|
25 |
+
Each directory contains 7 files
|
26 |
+
|
27 |
+
SET.id contains the list of wikipedia ids, one article per line.
|
28 |
+
SET.url contains the url of the wikipedia articles, one article per line.
|
29 |
+
SET.box contains the infobox data, one article per line.
|
30 |
+
SET.nb contains the number of sentences per article, one article per line.
|
31 |
+
SET.sent contains the sentences, one sentence per line.
|
32 |
+
SET.title contains the title of the wikipedia article, one per line.
|
33 |
+
SET.contributors contains the url of the wikipedia article history, which list
|
34 |
+
the authors of the article.
|
35 |
+
|
36 |
+
Hence all the file allows to access the information for one article relying
|
37 |
+
on line numbers. It is necessary to use SET.nb to split the sentences
|
38 |
+
(SET.sent) per article. The format for encoding the infobox data SET.box
|
39 |
+
follows the following scheme: each line encode one box, each box is encoded
|
40 |
+
as a list of tab separated tokens, each token has the following form
|
41 |
+
fieldname_position:wordtype. We also indicates when a field is empty or
|
42 |
+
contains no readable tokens with fieldname:<none>. For instance the first
|
43 |
+
box of the valid set starts with
|
44 |
+
|
45 |
+
type_1:pope name_1:michael name_2:iii name_3:of
|
46 |
+
name_4:alexandria title_1:56th title_2:pope title_3:of title_4:alexandria
|
47 |
+
title_5:& title_6:patriarch title_7:of title_8:the
|
48 |
+
title_9:see title_10:of title_11:st. title_12:mark image:<none>
|
49 |
+
|
50 |
+
which indicates that the field "type" contains 1 token "pope",
|
51 |
+
the field "name" contains 4 tokens "michael iii of alexandria",
|
52 |
+
the field "title" contains 12 tokens "56th pope of alexandria &
|
53 |
+
patriarch of the see of st. mark", the field "image" is empty.
|
54 |
+
|
55 |
+
[1] https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Biography
|
56 |
+
[2] http://stanfordnlp.github.io/CoreNLP/
|
57 |
+
|
58 |
+
|
59 |
+
== Version Information ==
|
60 |
+
v1.0 (this version) Initial Release.
|
61 |
+
|
62 |
+
== License ==
|
63 |
+
License information is provided in License.txt
|
test/test.box
ADDED
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|
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|
|
test/test.nb
ADDED
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|
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test/test.sent
ADDED
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|
|
train/train.contributors
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|
|
train/train.nb
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|
|
train/train.sent
ADDED
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train/train.title
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valid/valid.box
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valid/valid.contributors
ADDED
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|
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valid/valid.id
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valid/valid.nb
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|
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valid/valid.sent
ADDED
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|
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valid/valid.url
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|
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