Update README.md

README.md

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 license: cc-by-4.0
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-
-datasets:
-- osunlp/TableInstruct
 language:
 - en
 ---
-# 🦣 MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
+
+---
+# TableLlama: Towards Open Large Generalist Models for Tables
 
 Project Page: [https://osu-nlp-group.github.io/TableLlama/](https://osu-nlp-group.github.io/TableLlama/)
 
@@ -20,7 +18,9 @@ Code: [https://osu-nlp-group.github.io/TableLlama/](https://osu-nlp-group.github
 We introduce TableLlama, an open-source large generalist model specifically tailored for various table-based tasks. The TableLlama model is trained on 🤗 [TableInstruct Dataset](https://huggingface.co/datasets/osunlp/TableInstruct), a meticulously curated instruction tuning dataset for tables. TableLlama is tuned on 2.6 million table-based task data, and can handle up to 8K context!
 
 
-## Model [TableLlama-7B](https://huggingface.co/osunlp/TableLlama/)   |
+## Model 
+
+[TableLlama-7B](https://huggingface.co/osunlp/TableLlama/)
 
 
 ## Training Data
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 ### Response:
 ```
 
-```
-
-
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 ## Limitations
 We've tried our best to build table generalist models. However, we acknowledge that the models' performance may vary based on the complexity and specifics of the table tasks and datasets. Still not all tablep-based tasks can be covered comprehensively.
 
@@ -75,4 +71,4 @@ If you use the models, data, or code from this project, please cite the original
   archivePrefix={arXiv},
   primaryClass={cs.CL}
 }
-```
+```