Gaëtan Caillaut
commited on
Commit
•
b6388cf
1
Parent(s):
9b93b20
simple dataset card
Browse files
README.md
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
annotations_creators:
|
3 |
+
- machine-generated
|
4 |
+
language_creators: []
|
5 |
+
languages:
|
6 |
+
- fr-FR
|
7 |
+
licenses:
|
8 |
+
- wtfpl
|
9 |
+
multilinguality:
|
10 |
+
- monolingual
|
11 |
+
pretty_name: test
|
12 |
+
size_categories:
|
13 |
+
- unknown
|
14 |
+
source_datasets:
|
15 |
+
- original
|
16 |
+
task_categories:
|
17 |
+
- other
|
18 |
+
task_ids: []
|
19 |
+
---
|
20 |
+
|
21 |
+
# Dataset Card for frwiki_good_pages_el
|
22 |
+
|
23 |
+
## Dataset Description
|
24 |
+
|
25 |
+
- Repository: [frwiki_good_pages_el](https://github.com/GaaH/frwiki_good_pages_el)
|
26 |
+
- Point of Contact: [Gaëtan Caillaut](mailto://[email protected])
|
27 |
+
|
28 |
+
### Dataset Summary
|
29 |
+
|
30 |
+
This dataset contains _featured_ and _good_ articles from the French Wikipédia. Pages are downloaded, as HTML files, from the [French Wikipedia website](https://fr.wikipedia.org).
|
31 |
+
|
32 |
+
It is intended to be used to train Entity Linking (EL) systems. Links in articles are used to detect named entities.
|
33 |
+
|
34 |
+
### Languages
|
35 |
+
|
36 |
+
- French
|
37 |
+
|
38 |
+
## Dataset Structure
|
39 |
+
|
40 |
+
```
|
41 |
+
{
|
42 |
+
"title": "Title of the page",
|
43 |
+
"qid": "QID of the corresponding Wikidata entity",
|
44 |
+
"text": {
|
45 |
+
"words": ["tokens"],
|
46 |
+
"wikipedia": ["Wikipedia description of each entity"],
|
47 |
+
"wikidata": ["Wikidata description of each entity"],
|
48 |
+
"labels": ["NER labels"],
|
49 |
+
"titles": ["Wikipedia title of each entity"],
|
50 |
+
"qids": ["QID of each entity"],
|
51 |
+
}
|
52 |
+
}
|
53 |
+
```
|
54 |
+
|
55 |
+
The `words` field contains the article’s text splitted on white-spaces. The other fields are list with same length as `words` and contains data only when the respective token in `words` is the __start of an entity__. For instance, if the _i-th_ token in `words` is an entity, then the _i-th_ element of `wikipedia` contains a description, extracted from Wikipedia, of this entity. The same applies for the other fields. If the entity spans multiple words, then only the index of the first words contains data.
|
56 |
+
|
57 |
+
The only exception is the `labels` field, which is used to delimit entities. It uses the IOB encoding: if the token is not part of an entity, the label is `"O"`; if it is the first word of a multi-word entity, the label is `"B"`; otherwise the label is `"I"`.
|