| == WikiBio (wikipedia biography dataset) == | |
| This dataset gathers 728,321 biographies from wikipedia. It aims at evaluating | |
| text generation algorithms. For each article, we provide the first paragraph | |
| and the infobox (both tokenized). It was used in our work, | |
| Neural Text Generation from Structured Data with Application to the Biography Domain | |
| Rémi Lebret, David Grangier and Michael Auli, | |
| EMNLP 16, http://arxiv.org/abs/1603.07771 | |
| This publication provides further information about the data and we kindly ask | |
| you to cite this paper when using the data. The data was extracted from the | |
| English wikipedia dump (enwiki-20150901) relying on the articles refered by | |
| WikiProject Biography [1]. | |
| For each article, we extracted the first paragraph (text), the infobox | |
| (structured data). Each infobox is encoded as a list of (field name, field | |
| value) pairs. We used Stanford CoreNLP [2] to preprocess the data, i.e. we | |
| broke the text into sentences and tokenized both the text and the field | |
| values. The dataset was randomly split in three subsets train (80%), valid | |
| (10%), test (10%). We strongly recommend using test only for the final | |
| evaluation. | |
| The data is organised in three subdirectories for train, valid and test. | |
| Each directory contains 7 files | |
| SET.id contains the list of wikipedia ids, one article per line. | |
| SET.url contains the url of the wikipedia articles, one article per line. | |
| SET.box contains the infobox data, one article per line. | |
| SET.nb contains the number of sentences per article, one article per line. | |
| SET.sent contains the sentences, one sentence per line. | |
| SET.title contains the title of the wikipedia article, one per line. | |
| SET.contributors contains the url of the wikipedia article history, which list | |
| the authors of the article. | |
| Hence all the file allows to access the information for one article relying | |
| on line numbers. It is necessary to use SET.nb to split the sentences | |
| (SET.sent) per article. The format for encoding the infobox data SET.box | |
| follows the following scheme: each line encode one box, each box is encoded | |
| as a list of tab separated tokens, each token has the following form | |
| fieldname_position:wordtype. We also indicates when a field is empty or | |
| contains no readable tokens with fieldname:<none>. For instance the first | |
| box of the valid set starts with | |
| type_1:pope name_1:michael name_2:iii name_3:of | |
| name_4:alexandria title_1:56th title_2:pope title_3:of title_4:alexandria | |
| title_5:& title_6:patriarch title_7:of title_8:the | |
| title_9:see title_10:of title_11:st. title_12:mark image:<none> | |
| which indicates that the field "type" contains 1 token "pope", | |
| the field "name" contains 4 tokens "michael iii of alexandria", | |
| the field "title" contains 12 tokens "56th pope of alexandria & | |
| patriarch of the see of st. mark", the field "image" is empty. | |
| [1] https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Biography | |
| [2] http://stanfordnlp.github.io/CoreNLP/ | |
| == Version Information == | |
| v1.0 (this version) Initial Release. | |
| == License == | |
| License information is provided in License.txt | |