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README.txt ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ == WikiBio (wikipedia biography dataset) ==
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+
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+ This dataset gathers 728,321 biographies from wikipedia. It aims at evaluating
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+ text generation algorithms. For each article, we provide the first paragraph
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+ and the infobox (both tokenized). It was used in our work,
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+
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+ Neural Text Generation from Structured Data with Application to the Biography Domain
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+ 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.
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+
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+ The data is organised in three subdirectories for train, valid and test.
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+ Each directory contains 7 files
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+
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+ SET.id contains the list of wikipedia ids, one article per line.
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+ SET.url contains the url of the wikipedia articles, one article per line.
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+ SET.box contains the infobox data, one article per line.
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+ SET.nb contains the number of sentences per article, one article per line.
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+ SET.sent contains the sentences, one sentence per line.
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+ SET.title contains the title of the wikipedia article, one per line.
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+ SET.contributors contains the url of the wikipedia article history, which list
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+ the authors of the article.
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+
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+ Hence all the file allows to access the information for one article relying
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+ on line numbers. It is necessary to use SET.nb to split the sentences
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+ (SET.sent) per article. The format for encoding the infobox data SET.box
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+ 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
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