Dataset Card added v1

README.md

@@ -1,26 +1,86 @@
+markdown
+# 🧠 OpenAI Moderation Binary Dataset
+
+This dataset is a **binary-labeled** version of the original [OpenAI Moderation Evaluation Dataset](https://github.com/openai/moderation-api-release), created to support safe/unsafe classification tasks in content moderation, safety research, and AI alignment.
+
 ---
-dataset_info:
-  features:
-  - name: prompt
-    dtype: string
-  - name: prompt_label
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 1127863
-    num_examples: 1680
-  download_size: 740014
-  dataset_size: 1127863
-configs:
-- config_name: default
-  data_files:
-  - split: test
-    path: data/test-*
-license: mit
-task_categories:
-- text-classification
-language:
-- en
-size_categories:
-- 1K<n<10K
----
+
+## 📦 Dataset Details
+
+- **Original Source:** [OpenAI Moderation API Evaluation Dataset](https://github.com/openai/moderation-api-release)
+- **License:** MIT (inherited from original repo)
+- **Samples:** 1,680 total
+- **Labels:**
+  - `"safe"` (no harm labels present)
+  - `"unsafe"` (at least one moderation label present)
+
+---
+
+## 📁 Structure
+
+Each row consists of:
+
+```json
+{
+  "prompt": "Some user input text...",
+  "prompt_label": "safe"  // or "unsafe"
+}
+```
+
+---
+
+## 🧹 Preprocessing
+
+This version was derived by:
+1. Downloading and parsing the original JSONL dataset (`samples-1680.jsonl.gz`)
+2. Creating a new column called `prompt_label`, based on the presence of any of the following 8 moderation labels:
+   - `S` (sexual)
+   - `S3` (severe sexual)
+   - `H` (hate)
+   - `H2` (severe hate)
+   - `V` (violence)
+   - `V2` (severe violence)
+   - `HR` (harassment)
+   - `SH` (self-harm)
+3. Assigning:
+   - `prompt_label = "unsafe"` if **any** of those were `1`
+   - `prompt_label = "safe"` if **all** were `0`
+4. Removing the original moderation columns, leaving only:
+   - `prompt`
+   - `prompt_label`
+
+---
+
+## 📊 Label Distribution
+
+| Label   | Count | %       |
+|---------|-------|---------|
+| `safe`   | 1158  | ~68.9%  |
+| `unsafe` | 522   | ~31.1%  |
+
+---
+
+## 💡 Intended Use
+
+This dataset is designed for:
+- Binary classification (safe vs unsafe prompt detection)
+- Content moderation and safety evaluation
+- Educational and research purposes
+
+---
+
+## 📚 Citation
+
+If you use this dataset, please cite the original authors of the OpenAI Moderation dataset:
+
+> **OpenAI (2022).**  
+> *A Holistic Approach to Undesired Content Detection in the Real World.*  
+> [https://github.com/openai/moderation-api-release](https://github.com/openai/moderation-api-release)
+
+---
+
+## 🙏 Acknowledgements
+
+Huge credit to OpenAI for releasing the original dataset.
+
+This binary-labeled version was created for ease of training and evaluation, while preserving the intent and structure of the original data.