Update README.md

README.md

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 It contains **13 tasks** (6 Sanskrit, 7 Tibetan), with **4 tasks shared across both languages**, designed to measure linguistic, cultural, and structural understanding in low-resource, ancient-language contexts.
 
 The benchmark includes tasks such as metaphor and simile detection, quotation detection, verse/prose classification, metre classification, and root-text/commentary alignment. These reflect key challenges faced by philologists, historians of philosophy and religion, and digital humanities researchers studying Buddhist textual traditions.
+For the exact definition and description of the tasks, please see the repository or the paper.
 
 - **Curated by:** Intellexus Project (Kai Golan Hashiloni et al.)
 - **Funded by:** This study is supported in part by the European Research Council (Intellexus, Project No.101118558).
@@ -132,7 +133,7 @@ Tasks with very short textual inputs can sometimes be resolved through formal cu
 Users should be made aware of the dataset's risks, biases, and limitations. Users should interpret model performance cautiously and avoid overgeneralizing results.
 DharmaBench is best used for comparative evaluation and fine-tuning in controlled research settings.
 
-## Citation [optional]
+## Citation 
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 
@@ -144,17 +145,8 @@ DharmaBench is best used for comparative evaluation and fine-tuning in controlle
 
 [More Information Needed]
 
-## Glossary [optional]
 
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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-## More Information [optional]
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-## Dataset Card Authors [optional]
+## Dataset Card Authors 
 
 Kai Golan Hashiloni (Intellexus Project)
 With contributions from the Intellexus Sanskrit and Tibetan research teams.