Datasets:
Tasks:
Text Classification
Formats:
csv
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1K - 10K
License:
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -174,7 +174,17 @@ The core dataset was introduced in:
|
|
| 174 |
> *Proceedings of NAACL-HLT 2018*, pages 207–217
|
| 175 |
> [https://aclanthology.org/N18-1019/](https://aclanthology.org/N18-1019/)
|
| 176 |
|
| 177 |
-
The words are drawn from news articles and annotated by
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 178 |
|
| 179 |
### Domain generalization sources
|
| 180 |
|
|
|
|
| 174 |
> *Proceedings of NAACL-HLT 2018*, pages 207–217
|
| 175 |
> [https://aclanthology.org/N18-1019/](https://aclanthology.org/N18-1019/)
|
| 176 |
|
| 177 |
+
The words are drawn from news articles and annotated by both native and non-native English speakers who indicated which words could be difficult for non-native speakers, children, or people with reading disabilities.
|
| 178 |
+
|
| 179 |
+
### Annotation scheme and binarization
|
| 180 |
+
|
| 181 |
+
Each word was independently labeled by approximately 10 annotators. The `annotators` column records how many annotators marked the word as complex. Binary labels were derived using a threshold:
|
| 182 |
+
|
| 183 |
+
- **Simple (0)**: No annotator marked the word as complex (`annotators = 0`)
|
| 184 |
+
- **Complex (1)**: Three or more annotators marked it as complex (`annotators >= 3`)
|
| 185 |
+
- **Excluded**: Words in the ambiguous zone (1–2 annotators) were removed from the dataset
|
| 186 |
+
|
| 187 |
+
This means the dataset contains only clear cases — words that are unambiguously simple or where a meaningful fraction of annotators agreed on complexity.
|
| 188 |
|
| 189 |
### Domain generalization sources
|
| 190 |
|