Initial upload of AI wit training dataset

.gitattributes

@@ -57,3 +57,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+train.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,39 @@
+# AI Wit Training Dataset
+
+This dataset contains witty comeback and humor training data for fine-tuning language models.
+
+## Dataset Description
+
+- **Total Samples**: 132,156
+- **Training Samples**: 118,940
+- **Validation Samples**: 13,216
+- **Format**: Llama 3.1 chat format
+- **Source**: Reddit jokes and witty responses
+
+## Dataset Structure
+
+Each sample contains:
+- `messages`: List of user/assistant conversation
+- `source`: Data source (e.g., "reddit_jokes")
+- `style`: Response style (e.g., "humorous", "witty")
+
+## Usage
+
+This dataset is designed for fine-tuning conversational AI models to generate witty, humorous responses to offensive or provocative inputs.
+
+## Example
+
+```json
+{
+  "messages": [
+    {"role": "user", "content": "You're so dumb"},
+    {"role": "assistant", "content": "I may be dumb, but at least I'm not the one who thinks intelligence is measured by insults"}
+  ],
+  "source": "reddit_jokes",
+  "style": "witty"
+}
+```
+
+## Training
+
+Use with HuggingFace Transformers for fine-tuning Llama 3.1 or similar models.

train.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a948369b92676eb46d0dc507c505552a3aea2d0d932aace5230eaca4688130cc
+size 27458647