Update README.md

README.md

@@ -26,4 +26,49 @@ dataset_info:
   splits:
   - name: test
     num_examples: 1023
----
+---
+# Dataset Card for DeTexD: A Benchmark Dataset for Delicate Text Detection
+
+## Dataset Description
+
+- **Repository:** [DeTexD repository](https://github.com/grammarly/detexd)
+- **Paper:** [DeTexD: A Benchmark Dataset for Delicate Text Detection](TODO)
+
+### Dataset Summary
+
+We define *delicate text* as any text that is emotionally charged or potentially triggering such that engaging with it has the potential to result in harm. This broad term covers a range of sensitive texts that vary across four major dimensions: 1) riskiness, 2) explicitness, 3) topic, and 4) target. 
+
+This dataset contains texts with fine-grained individual annotator labels from 0 to 5 and averaged binary labels. See paper for more details.
+
+**Repository:** [DeTexD repository](https://github.com/grammarly/detexd) <br>
+**Paper:** [DeTexD: A Benchmark Dataset for Delicate Text Detection](TODO)
+
+## Dataset Structure
+
+### Data Instances
+
+```
+{'text': '"He asked me and the club if we could give him a couple of days off just to clear up his mind and he will be back in the group, I suppose, next Monday, back for training and then be a regular part of the whole squad again," Rangnick said.',
+ 'annotator_1': 0,
+ 'annotator_2': 0,
+ 'annotator_3': 0,
+ 'label': 0}
+```
+
+### Data Fields
+
+- `text`: Text to be classified
+- `annotator_1`: Annotator 1 score (0-5)
+- `annotator_2`: Annotator 2 score (0-5)
+- `annotator_3`: Annotator 3 score (0-5)
+- `label`: Averaged binary score (>=3), either "negative" (0) or positive (1)
+
+### Data Splits
+
+|                    | test |
+|--------------------|-----:|
+| Number of examples | 1023 |
+
+### Citation Information
+
+TODO