Add metadata, link to code

README.md

@@ -1,7 +1,14 @@
+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: token-classification
+---
+
 ### ✨ [ACL 2025] Incorporating Domain Knowledge into Materials Tokenization
 
 You can find this paper in [here](https://arxiv.org/abs/2506.11115)
 
+Code: this https URL
 
 If you only want to extract material concepts (material term or material formula) using **MatDetector**, please follow the steps below.
 
@@ -81,15 +88,17 @@ with open(os.path.join(output_directory, "mf.txt"), "w") as mf_file, \
                 final_label = determine_label(tokenized, probabilities, label_map)
 
                 if final_label == "O":
-                    o_file.write(f"{original_word}\n")
+                    o_file.write(f"{original_word}
+")
                 elif final_label in ["B-mf", "I-mf"]:
-                    mf_file.write(f"{original_word}\n")
+                    mf_file.write(f"{original_word}
+")
                 elif final_label in ["B-matname", "I-matname"]:
-                    matname_file.write(f"{original_word}\n")
+                    matname_file.write(f"{original_word}
+")
 
                 progress_bar.update(1)
 
 print("Processing completed. Files saved as mf.txt, matname.txt, and o_tags.txt.")
 
-```
-
+```