Add dataset card

README.md

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+---
+license: apache-2.0
+task_categories:
+- video-classification
+- zero-shot-classification
+language:
+- en
+tags:
+- social-signals
+- behavioral-analysis
+- multimodal
+- video
+pretty_name: Wave1 Test Set - Social Signal Detection
+size_categories:
+- n<1K
+---
+
+# Wave1 Test Set - Social Signal Detection
+
+## Dataset Description
+
+This dataset contains video clips annotated with social and affective signals for behavioral analysis tasks. Each sample includes:
+
+- **System Prompt**: Instructions for behavioral analysis
+- **Video URL**: Link to the video clip
+- **Multi-labels**: Detected social signals from 12 categories
+- **Video ID**: Unique identifier for the video
+
+## Social Signal Categories
+
+The dataset includes annotations for 12 social signals:
+
+1. **Agreement**: Nods, verbal affirmations, affiliative smiles, posture mirroring
+2. **Disagreement**: Opposition, interruptions, head shakes, eye rolls
+3. **Engagement**: Sustained orientation, eye contact, forward-leaning posture
+4. **Disengagement**: Gaze aversion, fidgeting, low-energy speech
+5. **Confusion**: Puzzled facial display, increased blinking, clarification questions
+6. **Hesitation**: Long gaps before speaking, filled pauses, restarts
+7. **Uncertainty**: Hedged answers, rising final contour, shoulder shrugs
+8. **Skepticism**: Questioning stance, delayed responses, furrowed brows
+9. **Confidence**: Upright posture, sustained eye contact, clear speech
+10. **Frustration**: Tension cues, higher pitch, sighs, complaints
+11. **Interest**: Attentional engagement, widened eyes, faster speech
+12. **Stress**: Self-touch, repetitive fidgeting, rapid blinking, vocal instability
+
+## Data Format
+
+The dataset is provided as a JSONL file where each line contains:
+
+```json
+{
+  "messages": [
+    {
+      "content": "System prompt with task instructions...",
+      "role": "system"
+    },
+    {
+      "content": "<video>",
+      "role": "user"
+    },
+    {
+      "content": "",
+      "role": "assistant"
+    }
+  ],
+  "videos": ["https://..."],
+  "multilabels": ["Signal1", "Signal2", ...],
+  "video_id": "unique_video_identifier.mp4"
+}
+```
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load dataset
+dataset = load_dataset("Interhuman/wave1-test-set", split="train")
+
+# Or load the raw JSONL file
+import json
+
+with open("configs_wave1-test-set-dataset.jsonl", "r") as f:
+    data = [json.loads(line) for line in f]
+
+# Access first sample
+sample = data[0]
+print(sample['video_id'])
+print(sample['multilabels'])
+print(sample['videos'][0])
+```
+
+## Dataset Statistics
+
+- **Total Samples**: 50
+- **Multi-label Classification**: Each video can have multiple social signals
+- **Signal Distribution**: Varies across samples
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@dataset{interhuman_wave1_test,
+  title={Wave1 Test Set - Social Signal Detection},
+  author={Interhuman},
+  year={2024},
+  publisher={Hugging Face}
+}
+```
+
+## License
+
+Apache 2.0