Update README.md

README.md

@@ -22,4 +22,94 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: mit
 ---
+# BLIFT: Behavior-LLaVA Instruction Fine-Tuning Dataset
+
+
+Paper: [**Teaching Human Behavior Improves Content Understanding Abilities of VLMs**](https://openreview.net/forum?id=TrKq4Wlwcz)
+
+Website: [https://behavior-in-the-wild.github.io/behavior-llava.html](https://behavior-in-the-wild.github.io/behavior-llava.html)
+
+---
+
+## Dataset Summary
+
+**BLIFT** (Behavior-LLaVA Instruction Fine-Tuning) is a large-scale multimodal instruction tuning dataset designed to teach **Vision-Language Models (VLMs)** human behavior. It contains over **730k images and videos** collected from Reddit and YouTube, annotated with **reciever behavior** such as **comments, likes, views, and replay graphs**.
+
+By modeling these downstream receiver behaviors, training on BLIFT improves **content understanding** of VLMs, showing significant improvements across 46 tasks in image, video, text, and audio understanding.
+
+<img src="./bllava-fig_2.pdf" alt="bllava-fig" width="1000"/>
+
+---
+
+## Dataset Structure
+
+Each sample in BLIFT includes:
+
+| Field            | Type      | Description                                                                 |
+|------------------|-----------|-----------------------------------------------------------------------------|
+| `permalink`      | `string`  | URL to the reddit post                                         |
+| `url`      | `string`  | Media URL                                      |
+| `title`          | `string`  | Title of the post or video                                                 |
+| `comments`       | `list[str]` | Top user comments (cleaned and filtered)                                   |
+| `num_comments`   | `int`     | Number of comments on the post                                             |
+| `subreddit`      | `string`  | Subreddit source                 |
+
+
+
+---
+
+## Data Sources
+
+BLIFT combines high-quality behavioral data from two sources:
+
+### Reddit
+- Subreddits: `r/pics`, `r/videos`
+- Collected: 400k images, 330k videos
+- Metadata: Upvotes and top comments
+- Filtering: NSFW, bots, duplicates, minimum comment quality
+
+### YouTube
+- 250k videos from ~6,000 verified channels via Wikidata
+- Metadata: Likes, views, top comments, replay graphs
+- Filtering: English language, minimum 10k views, NSFW, duplicates
+
+<img src="./filtering-final.pdf" alt="filtering" width="1000"/>
+
+---
+
+
+
+## Benchmarks & Results
+
+Using BLIFT to train **Behavior-LLaVA** (a fine-tuned LLaMA-Vid), the model outperforms base LLaMA-Vid and other supervised baselines on:
+
+- 46 tasks
+- 26 benchmark datasets
+- Across image, video, audio, and text modalities
+
+<img src="./radar_chart (1).pdf" alt="results" width="1000"/>
+
+
+---
+
+
+## 🔗 Citation
+
+If you use BLIFT, please cite:
+
+```bibtex
+@article{singh2024teaching,
+            title={Teaching Human Behavior Improves Content Understanding Abilities Of LLMs},
+            author={Singh, Somesh and SI, Harini and Singla, Yaman K and Baths, Veeky and Shah, Rajiv Ratn and Chen, Changyou and Krishnamurthy, Balaji},
+            journal={arXiv preprint arXiv:2405.00942},
+            year={2024}
+          }
+```
+
+---
+
+## Contact
+
+Contact [email protected] for questions and suggestions.