| --- |
| annotations_creators: |
| - expert-generated |
| language_creators: |
| - expert-generated |
| - machine-generated |
| language: |
| - en |
| license: |
| - cc-by-sa-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: |
| config_name: spider |
| 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 |
| splits: |
| - name: train |
| num_bytes: 4743786 |
| num_examples: 7000 |
| - name: validation |
| num_bytes: 682090 |
| num_examples: 1034 |
| download_size: 957246 |
| dataset_size: 5425876 |
| configs: |
| - config_name: spider |
| data_files: |
| - split: train |
| path: spider/train-* |
| - split: validation |
| path: spider/validation-* |
| default: true |
| --- |
| |
|
|
| # 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/ |
| - **Paper:** https://arxiv.org/abs/1809.08887 |
| - **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 |
|
|
| ``` |
| @inproceedings{yu-etal-2018-spider, |
| title = "{S}pider: 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 |
| Zhang, Zilin and |
| Radev, Dragomir", |
| editor = "Riloff, Ellen and |
| Chiang, David and |
| Hockenmaier, Julia and |
| Tsujii, Jun{'}ichi", |
| booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing", |
| month = oct # "-" # nov, |
| year = "2018", |
| address = "Brussels, Belgium", |
| publisher = "Association for Computational Linguistics", |
| url = "https://aclanthology.org/D18-1425", |
| doi = "10.18653/v1/D18-1425", |
| pages = "3911--3921", |
| archivePrefix={arXiv}, |
| eprint={1809.08887}, |
| primaryClass={cs.CL}, |
| } |
| ``` |
|
|
| ### Contributions |
|
|
| Thanks to [@olinguyen](https://github.com/olinguyen) for adding this dataset. |