

# 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.
task_categories:text2text-generation annotations_creators:expert-generated language_creators:expert-generated language_creators:machine-generated multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:en license:cc-by-4.0 text-to-sql region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated", "machine-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text2text-generation"], "task_ids": [], "paperswithcode_id": "spider-1", "pretty_name": "Spider", "tags": ["text-to-sql"], "dataset_info": {"features": [{"name": "db_id", "dtype": "string"}, {"name": "query", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "query_toks", "sequence": "string"}, {"name": "query_toks_no_value", "sequence": "string"}, {"name": "question_toks", "sequence": "string"}], "config_name": "spider", "splits": [{"name": "train", "num_bytes": 4743786, "num_examples": 7000}, {"name": "validation", "num_bytes": 682090, "num_examples": 1034}], "download_size": 99736136, "dataset_size": 5425876}}
TAGS
#task_categories-text2text-generation #annotations_creators-expert-generated #language_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #text-to-sql #region-us 



# Dataset Card for Spider

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Homepage: URL
- Repository: URL
- Paper: URL
- Point of Contact: Yale LILY

### 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 URL

### 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?



### 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



## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization

#### Who are the source language producers?



### Annotations

The dataset was annotated by 11 college students at Yale University

#### Annotation process

#### Who are the annotators?

### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset

### Discussion of Biases



### Other Known Limitations

## Additional Information

The listed authors in the homepage are maintaining/supporting the dataset. 

### Dataset Curators



### Licensing Information

The spider dataset is licensed under 
the CC BY-SA 4.0







### Contributions

Thanks to @olinguyen for adding this dataset.
# Dataset Card for Spider ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: URL
- Repository: URL
- Paper: URL
- Point of Contact: Yale LILY ### 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 URL ### 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? ### 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 ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations

The dataset was annotated by 11 college students at Yale University #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information

The listed authors in the homepage are maintaining/supporting the dataset. ### Dataset Curators ### Licensing Information

The spider dataset is licensed under 
the CC BY-SA 4.0 ### Contributions

Thanks to @olinguyen for adding this dataset.
TAGS
#task_categories-text2text-generation #annotations_creators-expert-generated #language_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #text-to-sql #region-us 
 # Dataset Card for Spider ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: URL
- Repository: URL
- Paper: URL
- Point of Contact: Yale LILY ### 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 URL ### 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? ### 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 ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations

The dataset was annotated by 11 college students at Yale University #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information

The listed authors in the homepage are maintaining/supporting the dataset. ### Dataset Curators ### Licensing Information

The spider dataset is licensed under 
the CC BY-SA 4.0 ### Contributions

Thanks to @olinguyen for adding this dataset.
passage: TAGS
#task_categories-text2text-generation #annotations_creators-expert-generated #language_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #text-to-sql #region-us 
# Dataset Card for Spider## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions## Dataset Description

- Homepage: URL
- Repository: URL
- Paper: URL
- Point of Contact: Yale LILY### 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 URL### 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?### 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