Datasets:

Modalities:
Text
Formats:
json
Size:
< 1K
Libraries:
Datasets
pandas
License:
ilterm commited on
Commit
4365b94
·
verified ·
1 Parent(s): e33e378

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +73 -3
README.md CHANGED
@@ -1,3 +1,73 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ ---
4
+ CISA-testset: Cross-Individual Sentiment Analysis Test Dataset for Historical Turkish
5
+ This test dataset is specifically designed for evaluating Cross-Individual Sentiment Analysis (CISA) performance on historical Turkish texts from İbrahim Temo's memoirs.
6
+ 📚 Dataset Description
7
+ This test dataset contains 200 sentences extracted from the first 66 pages of İbrahim Temo's original memoirs "İttihad ve Terakki Cemiyetinin Teşekkülü ve Hidematı Vataniye ve İnkılâbı Milliye Dair Hatıratım" published in 1939.
8
+ Important Note: This is NOT part of the main training dataset used for the CISA-BERTurk-sentiment model. It serves as an independent test set to evaluate model performance on real historical texts.
9
+ 🎯 Purpose
10
+
11
+ Independent Testing: Evaluate CISA model performance on unseen historical data
12
+ Real-world Validation: Test model capabilities on authentic historical Turkish texts
13
+ Benchmark Creation: Provide a standardized test set for CISA research
14
+
15
+ 📊 Dataset Statistics
16
+
17
+ Total Sentences: 202
18
+ Source: İbrahim Temo's Memoirs (1939) - First 66 pages
19
+ Language: Historical Turkish (Early 20th century)
20
+ Annotation Type: Cross-Individual Sentiment Analysis
21
+ Entity Focus: Historical figures and personalities
22
+
23
+ Sentiment Distribution
24
+
25
+ Negative: 17 instances (8.4%)
26
+ Neutral: 154 instances (76.2%)
27
+ Positive: 31 instances (15.4%)
28
+
29
+ Relation Type Distribution
30
+
31
+ Direct: 174 instances (86.1%)
32
+ Indirect: 28 instances (13.9%)
33
+
34
+ 🏆 Model Performance
35
+ When tested with the CISA-BERTurk-sentiment model, this test set achieved superior performance compared to the original training test scores:
36
+ Sentiment Analysis Results
37
+
38
+ Accuracy: 88.12%
39
+ Precision: 87.72%
40
+ Recall: 88.12%
41
+ F1-Score: 87.75%
42
+
43
+ Key Finding: These results demonstrate that the model performs better on continuous, real-world historical texts compared to fragmented training data, indicating strong generalization capabilities.
44
+
45
+ 🏗️ Dataset Creation
46
+ Dataset Prepared by: İbrahim Berci
47
+ The dataset was carefully curated to:
48
+
49
+ Maintain historical authenticity
50
+ Ensure diverse entity-sentiment relationships
51
+ Preserve original Ottoman Turkish linguistic features
52
+ Provide comprehensive metadata for research reproducibility
53
+
54
+ 📚 Source Material
55
+ Original Work: "İttihad ve Terakki Cemiyetinin Teşekkülü ve Hidematı Vataniye ve İnkılâbı Milliye Dair Hatıratım"
56
+
57
+ Author: İbrahim Temo
58
+ Publication Year: 1939
59
+ Location: Mecidiye, Romania
60
+ Content: Political memoirs of the Young Turk movement
61
+ Language: Ottoman Turkish transitioning to modern Turkish
62
+
63
+ 🏦 Funding & Acknowledgments
64
+ This work was supported by The Scientific and Technological Research Council of Turkey (TÜBİTAK) under project number 323K372. We thank TÜBİTAK for their support.
65
+
66
+ Citation
67
+ bibtex@dataset{berci2025cisa_testset,
68
+ author = {İbrahim Berci and Sezen Karabulut and Mustafa İlter},
69
+ title = {CISA-testset from Ibrahim Temo's memoir: Cross-Individual Sentiment Analysis Test Dataset for Historical Turkish},
70
+ url = {https://huggingface.co/datasets/dbbiyte/CISA-testset},
71
+ year = {2025},
72
+ note = {Test dataset for evaluating CISA performance on İbrahim Temo's historical memoirs}
73
+ }