Create README.md

README.md

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+---
+language:
+- en
+license:
+- cc-by-4.0
+source_datasets:
+- spider
+pretty_name: Spider Context Validation Schema Ranked
+tags:
+- text-to-sql
+- SQL
+- spider
+- validation
+- eval
+- spider-eval
+dataset_info:
+  features:
+    - name: db_id
+      dtype: string
+    - name: prompt
+      dtype: string
+    - name: ground_truth
+      dtype: string
+---
+
+# Dataset Card for Spider Context Validation
+
+### Ranked Schema by ChatGPT
+
+The database context used here is generated from ChatGPT after telling it to reorder the schema with the most relevant columns in the beginning of the db_info.
+
+### Dataset Summary
+
+Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students
+The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases.
+
+This dataset was created to validate spider-fine-tuned LLMs with database context.
+
+### Yale Lily Spider Leaderboards
+
+The leaderboard can be seen at https://yale-lily.github.io/spider
+
+### Languages
+
+The text in the dataset is in English.
+
+### Licensing Information
+
+The spider dataset is licensed under 
+the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode)
+
+### Citation
+```
+@article{yu2018spider,
+  title={Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task},
+  author={Yu, Tao and Zhang, Rui and Yang, Kai and Yasunaga, Michihiro and Wang, Dongxu and Li, Zifan and Ma, James and Li, Irene and Yao, Qingning and Roman, Shanelle and others},
+  journal={arXiv preprint arXiv:1809.08887},
+  year={2018}
+}
+```