IMISLab commited on
Commit
c06a8fe
·
verified ·
1 Parent(s): 6d7c03c

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +20 -6
README.md CHANGED
@@ -17,17 +17,22 @@ tags:
17
  pretty_name: DemosQA
18
  size_categories:
19
  - n<1K
 
 
 
 
 
20
  ---
21
 
22
  # DemosQA
23
 
24
- <img src="demosqa.png" width="400"/>
25
-
26
- We introduce DemosQA, a novel Greek QA dataset, which is constructed using social media user questions and community-reviewed answers to better capture the Greek social and cultural zeitgeist.
27
  It comprises questions extracted from the “r/greece” subreddit, each accompanied by four candidate answers, the selected best answer and its index, the date of posting, and the corresponding Reddit post ID.
28
  Candidate answers are ranked based on community voting, with the highest-upvoted response designated as the reference answer.
29
  This community-driven ranking mechanism not only ensures that the dataset captures genuine user preferences but also establishes a meaningful benchmark for assessing how closely large language models align with human judgments of response quality.
30
- For information about dataset creation, limitations etc. see the cited preprint below.
 
 
31
 
32
  ### Supported Task
33
 
@@ -54,7 +59,7 @@ The following data fields are provided:
54
  from datasets import load_dataset
55
 
56
  # Load the dataset.
57
- test_split = load_dataset('IMISLab/DemosQA', split = 'all')
58
  print(test_split[0])
59
  ```
60
  ## Contact
@@ -68,5 +73,14 @@ karacap@upatras.gr
68
  ## Citation
69
 
70
  ```
71
- TBA
 
 
 
 
 
 
 
 
 
72
  ```
 
17
  pretty_name: DemosQA
18
  size_categories:
19
  - n<1K
20
+ configs:
21
+ - config_name: default
22
+ data_files:
23
+ - split: test
24
+ path: "DemosQA.csv"
25
  ---
26
 
27
  # DemosQA
28
 
29
+ We introduce DemosQA (δῆμος), a novel Greek QA dataset, which is constructed using social media user questions and community-reviewed answers to better capture the Greek social and cultural zeitgeist.
 
 
30
  It comprises questions extracted from the “r/greece” subreddit, each accompanied by four candidate answers, the selected best answer and its index, the date of posting, and the corresponding Reddit post ID.
31
  Candidate answers are ranked based on community voting, with the highest-upvoted response designated as the reference answer.
32
  This community-driven ranking mechanism not only ensures that the dataset captures genuine user preferences but also establishes a meaningful benchmark for assessing how closely large language models align with human judgments of response quality.
33
+ For information about dataset creation, limitations etc. see the [arxiv preprint](https://arxiv.org/abs/2602.16811).
34
+
35
+ <img src="demosqa.png" width="400"/>
36
 
37
  ### Supported Task
38
 
 
59
  from datasets import load_dataset
60
 
61
  # Load the dataset.
62
+ test_split = load_dataset('IMISLab/DemosQA', split = 'test')
63
  print(test_split[0])
64
  ```
65
  ## Contact
 
73
  ## Citation
74
 
75
  ```
76
+ @misc{
77
+ mastrokostas2026evaluatingmonolingualmultilinguallarge,
78
+ title = {Evaluating Monolingual and Multilingual Large Language Models for Greek Question Answering: The DemosQA Benchmark},
79
+ author = {Charalampos Mastrokostas and Nikolaos Giarelis and Nikos Karacapilidis},
80
+ year = {2026},
81
+ eprint = {2602.16811},
82
+ archivePrefix = {arXiv},
83
+ primaryClass = {cs.CL},
84
+ url = {https://arxiv.org/abs/2602.16811},
85
+ }
86
  ```