ccosme commited on
Commit
2c0661b
·
1 Parent(s): b799124

Updated data set card

Browse files
Files changed (1) hide show
  1. README.md +65 -0
README.md CHANGED
@@ -1,3 +1,68 @@
1
  ---
2
  license: cc-by-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: cc-by-4.0
3
+ task_categories:
4
+ - text-classification
5
+ - zero-shot-classification
6
+ language:
7
+ - en
8
+ - tl
9
+ tags:
10
+ - code-switching
11
+ - sentiment analysis
12
+ - low-resource languages
13
+ - taglish
14
+ - Filipino
15
+ size_categories:
16
+ - 10K<n<100K
17
  ---
18
+ # Dataset Card for Filipino-English Reviews with Code-Switching (FiReCS)
19
+
20
+ ### Dataset Summary
21
+
22
+ We introduce FiReCS, the first sentiment-annotated corpus of product and service reviews involving Filipino-English code-switching. The final data set is composed of 10,487 reviews with a fairly balanced number per sentiment class. Inter-annotator agreement is high with a Kripendorffs’s α for ordinal metric of 0.83. Three human annotators were tasked to manually label reviews according to three polarity classes: Positive, Neutral, and Negative.
23
+
24
+ ### Supported Tasks and Leaderboards
25
+
26
+ Sentiment analysis of bilingual text with code-switching / code-mixing.
27
+
28
+ ### Languages
29
+
30
+ - Filipino
31
+ - English
32
+
33
+ ## Dataset Structure
34
+
35
+ ### Data Fields
36
+
37
+ * review: a string containing the body of the qualitative (text) review
38
+ * label: an integer containing the label encoding of the gold-truth label provided by the human annotators
39
+
40
+ **Label encoding:**
41
+ * 2 - Positive
42
+ * 1 - Neutral
43
+ * 0 - Negative
44
+
45
+ ### Data Splits
46
+
47
+ | Data set split | Positive | Neutral | Negative | Total |
48
+ | -------------- | -------- | ------- | -------- | ----- |
49
+ | Train set | 2,410 | 2,549 | 2,381 | 7,340 |
50
+ | Test set | 1,033 | 1,087 | 1,027 | 3,147 |
51
+
52
+ ### Dataset Creation and Annotation
53
+
54
+ The data set was created using publicly available online service and product reviews from Google Maps Reviews and Shopee Philippines. Only the rating and review fields were collected and stored.
55
+
56
+ Three annotators, all native speakers of Filipino and fluent in English, were tasked to manually label the data set. The first two annotators labeled the same full set of reviews. Any disagreements were sent to a third annotator.
57
+
58
+ ### Personal and Sensitive Information
59
+
60
+ No personal information were collected and stored.
61
+
62
+ ### Licensing Information
63
+
64
+ The FiReCS data set version 1.0 is released under the [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) license.
65
+
66
+ ### Citation Information
67
+
68
+ TBA