Azri-Muhsin commited on
Commit
abbf98f
·
verified ·
1 Parent(s): 73ffd29

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +49 -1
README.md CHANGED
@@ -26,7 +26,7 @@ dataset_info:
26
  num_bytes: 8787791.05327144
27
  num_examples: 1810
28
  download_size: 12131460
29
- dataset_size: 43929245.0
30
  configs:
31
  - config_name: default
32
  data_files:
@@ -34,4 +34,52 @@ configs:
34
  path: data/train-*
35
  - split: test
36
  path: data/test-*
 
 
 
37
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
26
  num_bytes: 8787791.05327144
27
  num_examples: 1810
28
  download_size: 12131460
29
+ dataset_size: 43929245
30
  configs:
31
  - config_name: default
32
  data_files:
 
34
  path: data/train-*
35
  - split: test
36
  path: data/test-*
37
+ license: mit
38
+ language:
39
+ - si
40
  ---
41
+ # Sinhala News Comment Sentiment Dataset
42
+
43
+ ## Overview
44
+ This repository contains a dataset of Sinhala news comments categorized by sentiment (Positive, Negative, Neutral). To provide deeper context for advanced models, the dataset also includes metadata from the parent news article, including the article's title, author, publication date, and full body text.
45
+
46
+ **Note on Origin:** This Hugging Face repository was created purely for convenience. The original data was distributed as individual XML files. It has been parsed, cleaned, and formatted into standard `Dataset` objects here to allow seamless integration with the `datasets` library and modern LLM evaluation harnesses.
47
+
48
+ **All credit for the data collection, annotation, and original research belongs to the original authors.**
49
+
50
+ ## Original Source & Credits
51
+ This dataset is the result of the research conducted by **S. Ranathunga** and **I. U. Liyanage**.
52
+
53
+ The original raw XML corpus and associated tagging scripts can be found in their official GitHub repository:
54
+ 🔗 [theisuru/sentiment-tagger](https://github.com/theisuru/sentiment-tagger)
55
+
56
+ ## Dataset Structure
57
+ The dataset has been restructured from XML into a flat, tabular format with the following features:
58
+ * `text` *(string)*: The text of the user's news comment.
59
+ * `label` *(ClassLabel)*: The sentiment of the comment.
60
+ * `0`: Negative
61
+ * `1`: Neutral
62
+ * `2`: Positive
63
+ * `article_body` *(string)*: The full text of the parent news article.
64
+ * `article_title` *(string)*: The title of the news article.
65
+ * `article_author` *(string)*: The author of the news article.
66
+ * `article_date` *(string)*: The publication date of the news article.
67
+
68
+ ## Citation Information
69
+ If you use this dataset, code, or trained models derived from it, you are required by the original authors to cite their work.
70
+
71
+ **APA:**
72
+ > Ranathunga, S., & Liyanage, I. U. (2021). Sentiment Analysis of Sinhala News Comments. *Transactions on Asian and Low-Resource Language Information Processing, 20*(4), 1-23.
73
+
74
+ **BibTeX:**
75
+ ```bibtex
76
+ @article{ranathunga2021sentiment,
77
+ title={Sentiment Analysis of Sinhala News Comments},
78
+ author={Ranathunga, Surangika and Liyanage, Isuru U},
79
+ journal={Transactions on Asian and Low-Resource Language Information Processing},
80
+ volume={20},
81
+ number={4},
82
+ pages={1--23},
83
+ year={2021},
84
+ publisher={ACM New York, NY}
85
+ }