---
language:
- en
license:
- cc-by-4.0
source_datasets:
- spider
pretty_name: Spider Context Alpaca Finetune
tags:
- text-to-sql
- finetune
dataset_info:
  features:
  - name: db_id
    dtype: string
  - name: Schema (values)
    dtype: string
  - name: Column names (type)
    dtype: string
  - name: Primary Keys
    dtype: string
  - name: Foreign Keys
    dtype: string
task_categories:
- question-answering
size_categories:
- 1K<n<10K
---

# Dataset Card for Spider Context Alpaca Finetune

### 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 finetune LLMs in a `### Instruction:` and `### Response:` format 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}
}
```