Update README.md

README.md

@@ -1,8 +1,25 @@
+---
+license: mit
+---
 # DATASTRIKE BCI Timelapse Dataset
 
+*UNDER DEVELOPMENT*
+
+*This dataset was created with the DATASTRIKE app located in the /gym/ folder.*
+
 ## Description
+
 Time-synchronized multimodal dataset for BCI intent recognition, collected with frame-by-frame timelapse capture during FPS gameplay.
 
+A time-synchronized multimodal dataset hosted on Hugging Face for brain-computer interface (BCI) intent 
+ecognition research. It was collected via frame-by-frame timelapse capture during first-person shooter (FPS) gameplay and includes 
+synchronized image sequences (320x240 JPGs), game state data (like player position, velocity, ammo, and combat stats), BCI intent labels 
+across 13 categories, input data (mouse/keyboard), and RLHF ratings for combat and capture actions. The dataset is small, with 188 total 
+frames grouped into 1 temporal sequence from a 1:35-minute session, and a download size of about 685 kB. It's structured with JSONL files 
+for metadata and intents, a directory of images, and a sequences.json file for time-series analysis, making it suitable for deep learning 
+models like LSTMs or Transformers on multimodal temporal data. Tags include BCI, timelapse, FPS gameplay, intent recognition, multimodal, 
+time-series, RLHF, and sequence modeling.
+
 ## Key Features
 - **Frame-by-Frame Timelapse**: Synchronized image sequences at 320x240 resolution
 - **Multiple Capture Modes**: Manual (LMB), Auto-interval, and Sequence recording
@@ -86,13 +103,13 @@ for seq_id, sequence in sequences.items():
 
 ## Citation
 ```
-@dataset{datastrike_bci_timelapse_2026,
+@dataset{datastrike_bci,
   title={DATASTRIKE BCI Timelapse Dataset},
-  author={DATASTRIKE Team},
+  author={webXOS},
   year={2026},
   url={https://github.com/webxos/datastrike-bci},
   note={Frame-by-frame timelapse capture for BCI intent recognition}
 }
 ```
 
-Generated on 2026-01-07 by DATASTRIKE BCI Timelapse v4.0
+Generated on 2026-01-07 by DATASTRIKE BCI Timelapse v4.0 by webXOS