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---
license: cc-by-sa-3.0
---
# sql-create-context-v2 Dataset
## Overview
The `sql-create-context-v2` dataset enhances the original dataset built from WikiSQL and Spider, focusing on text-to-SQL tasks with a special emphasis on reducing hallucination of column and table names. This version introduces a JSONL format for more efficient data processing and iteration, alongside a structured approach to representing SQL queries in the dataset entries.
### Key Enhancements
- **Dataset Format:** Transitioned to JSON Lines (JSONL) format for improved handling of large datasets and streamlined processing of individual records.
- **Structured Query Representation:** Each SQL query answer is now encapsulated within an object keyed by `SQL_Query`, facilitating clearer separation between the query text and other metadata.
## Sample Entries
```json
{
"question": "Please show the themes of competitions with host cities having populations larger than 1000.",
"context": "CREATE TABLE city (City_ID VARCHAR, Population INTEGER); CREATE TABLE farm_competition (Theme VARCHAR, Host_city_ID VARCHAR)",
"answer": {"SQL_Query": "SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000"}
},
{
"question": "Please show the different statuses of cities and the average population of cities with each status.",
"context": "CREATE TABLE city (Status VARCHAR, Population INTEGER)",
"answer": {"SQL_Query": "SELECT Status, AVG(Population) FROM city GROUP BY Status"}
}
```
Citing this Work
If you use the sql-create-context-v2 dataset, please cite the following in addition to the original works:
```bibtex
@misc{sql-create-context-v2_2024,
title = {sql-create-context-v2 Dataset},
author = Rama Chetan Atmudi,
year = {2024},
url = {https://huggingface.co/datasets/ramachetan22/sql-create-context-v2},
note = {Enhancements and modifications to the original sql-create-context dataset for improved usability and processing.}
}
```
Datasets Used to Create This Dataset
```bibtex
@misc{b-mc2_2023_sql-create-context,
title = {sql-create-context Dataset},
author = {b-mc2},
year = {2023},
url = {https://huggingface.co/datasets/b-mc2/sql-create-context},
note = {This dataset was created by modifying data from the following sources: \cite{zhongSeq2SQL2017, yu2018spider}.},
}
```
```bibtex
Datasets used to create this dataset
@article{zhongSeq2SQL2017,
author = {Victor Zhong and Caiming Xiong and Richard Socher},
title = {Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning},
journal = {CoRR},
volume = {abs/1709.00103},
year = {2017}
}
```
```bibtex
@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}
}
``` |