Update README.md

README.md

@@ -6,7 +6,149 @@ language:
 - en
 tags:
 - text-to-sql
-pretty_name: updated-dataset
+pretty_name: new spider
 size_categories:
 - 1K<n<10K
----
+---
+
+# Dataset Card for Spider
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://yale-lily.github.io/spider
+- **Repository:** https://github.com/taoyds/spider
+- **Paper:** https://www.aclweb.org/anthology/D18-1425/
+- **Point of Contact:** [Yale LILY](https://yale-lily.github.io/)
+
+### 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
+
+### Supported Tasks and Leaderboards
+
+The leaderboard can be seen at https://yale-lily.github.io/spider
+
+### Languages
+
+The text in the dataset is in English.
+
+## Dataset Structure
+
+### Data Instances
+
+**What do the instances that comprise the dataset represent?**
+
+Each instance is natural language question and the equivalent SQL query
+
+**How many instances are there in total?**
+
+**What data does each instance consist of?**
+
+[More Information Needed]
+
+### Data Fields
+
+* **db_id**: Database name
+* **question**: Natural language to interpret into SQL
+* **query**: Target SQL query
+* **query_toks**: List of tokens for the query
+* **query_toks_no_value**: List of tokens for the query
+* **question_toks**: List of tokens for the question
+
+### Data Splits
+
+**train**: 7000 questions and SQL query pairs
+**dev**: 1034 question and SQL query pairs
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+The dataset was annotated by 11 college students at Yale University
+
+#### Annotation process
+
+#### Who are the annotators?
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+## Additional Information
+
+The listed authors in the homepage are maintaining/supporting the dataset. 
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+The spider dataset is licensed under 
+the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode)
+
+[More Information Needed]
+
+### Citation Information
+
+```
+@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}
+}
+```
+
+### Contributions
+
+Thanks to [@olinguyen](https://github.com/olinguyen) for adding this dataset.