Update README.md

README.md

@@ -62,7 +62,7 @@ The primary goal of **myX-Tokenizer** is to optimize the "Token-to-Character" ra
 ### Quantitative Evaluation
 To ensure an unbiased evaluation, we benchmarked the tokenizers using the **jojo-ai-mst/Myanmar-Agricutlure-1K** dataset (specifically the "Output" column with 1,053 rows). **Note:** This dataset was held out during the training phase of myX-Tokenizer to serve as a clean test set.
 
-![Efficiency Benchmark](https://huggingface.co/DatarrX/myX-Tokenizer/blob/main/benchmark.png)
+![Efficiency Benchmark](benchmark.png)
 
 | Tokenizer | Avg Tokens per Sentence | Efficiency Score (Fertility) |
 | :--- | :---: | :---: |
@@ -127,7 +127,17 @@ The tokenizer includes pre-defined IDs for modern AI workflows:
 ## Development & Distribution
 * **Developed by:** [Khant Sint Heinn (Kalix Louis)](https://huggingface.co/kalixlouiis)
 * **Published by:** [DatarrX (Myanmar Open Source NGO)](https://huggingface.co/DatarrX)
-- **License**: Apache License 2.0
+* **License**: Apache License 2.0
+* **Training Datasets**: 
+  - kalixlouiis/HFcourse-english-burmese-parallel-corpus
+  - kalixlouiis/Myanmar-English-general-text-translation
+  - kalixlouiis/myanmar-written-spoken-text-pairs
+  - kalixlouiis/myanmar-linguistic-ambiguitie-001
+  - kalixlouiis/general-burmese-sentences
+  - DatarrX/Burmese-English-Code-Mixed-Corpus
+  - DatarrX/tipitaka-dataset
+  - agentlans/high-quality-english-sentences
+  - DatarrX/myX-Burmese-Morpho-Synthetic
 
 ## Citation
 If you utilize this tokenizer in your research or applications, please use the following citation: