Datasets:
ai-forever
commited on
Commit
•
4038365
1
Parent(s):
3ee777f
Update README.md
Browse files
README.md
CHANGED
@@ -7,7 +7,9 @@ size_categories:
|
|
7 |
- 1K<n<10K
|
8 |
---
|
9 |
|
10 |
-
#
|
|
|
|
|
11 |
|
12 |
Spellcheck Benchmark is a collection of datasets dedicated to spelling correction problem for Russian language.
|
13 |
|
@@ -15,8 +17,29 @@ Spellcheck Benchmark is a collection of datasets dedicated to spelling correctio
|
|
15 |
|
16 |
**Paper** - <link>
|
17 |
|
18 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
19 |
|
20 |
-
|
|
|
|
|
|
|
21 |
|
22 |
-
|
|
|
7 |
- 1K<n<10K
|
8 |
---
|
9 |
|
10 |
+
# Spellcheck Benchmark
|
11 |
+
|
12 |
+
## Dataset Description
|
13 |
|
14 |
Spellcheck Benchmark is a collection of datasets dedicated to spelling correction problem for Russian language.
|
15 |
|
|
|
17 |
|
18 |
**Paper** - <link>
|
19 |
|
20 |
+
## Dataset Summary
|
21 |
+
|
22 |
+
Spellcheck Benchmark includes four datasets, each of which consists of pairs of sentences in Russian language.
|
23 |
+
Each pair embodies sentence, which may contain spelling errors, and its corresponding correction.
|
24 |
+
Datasets were gathered from various sources and domains including social networks, internet blogs, github commits, medical anamnesis, literature, news, reviews and more.
|
25 |
+
|
26 |
+
All datasets were passed through two-stage manual labeling pipeline. The correction of a sentence is defined by an agreement of at least two human annotators.
|
27 |
+
Manual labeling scheme accounts for jargonisms, collocations and common language, hence in some cases it encourages annotators not to amend a word
|
28 |
+
in favor of preserving style of a text.
|
29 |
+
|
30 |
+
## Supported Tasks and Leaderboards
|
31 |
+
|
32 |
+
- Automatic spelling correction
|
33 |
+
|
34 |
+
## Dataset Structure
|
35 |
+
|
36 |
+
### Splits
|
37 |
+
|
38 |
+
The benchmark consists of the following splits that reflect corresponding dataset:
|
39 |
|
40 |
+
- **MultidomainGoldSet**: collected and annotated by SalutDevices Team;
|
41 |
+
- **RUSpellRU**: by Sorokin et al.(2016);
|
42 |
+
- **MedSpellCheck**: ...;
|
43 |
+
- **GithubTypos**: ...;
|
44 |
|
45 |
+
Depending on which
|