Update README.md

README.md

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----
-license: other
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+pretty_name: "Pathfinder-X2"
+
+tags:
+- llm
+- long-range
+- large language model
+license: "BY CC 4.0"
+task_categories:
+- language
+- segmentation
+language:
+ - N/A
+   
+Free to use for any purpose, including commercial, with attribution.
+
+Pathfinder-X2 
+
+The Pathfinder and Pathfinder-X datasets have been crucial for training Large Language Models with Long-Range Dependencies.  
+In January of 2023, Meta's Mega LLM scored a 97% on the Pathfinder-X dataset, indicating a need for an even more challenging benchmark.
+Pathfinder-X2 contains 200,000 512x512 images along with 200,000 segmentation masks for those images.  Each image contains an assortment
+of dashed-line "snakes" of varying length, and a model's task is to segment only the snake with a circle on one end.
+Each image is meant to be fed in as a sequence,pixel-by-pixel, into a Large Language Model.
+
+Based on the Pathfinder dataset by Drew Linsley, Alekh K Ashok, Lakshmi N Govindarajan, Rex Liu, and Thomas Serre.