metadata
dataset_info:
features:
- name: id
dtype: string
- name: question
dtype: string
- name: db_id
dtype: string
- name: query
dtype: string
- name: query_toks
dtype: string
- name: query_toks_no_value
dtype: string
- name: question_toks
dtype: string
- name: sql
dtype: string
- name: audio
dtype: audio
- name: normalized_question_for_tts
dtype: string
- name: audio_duration
dtype: string
- name: audio_transcript
dtype: string
splits:
- name: validation
num_bytes: 139718409.87
num_examples: 1001
download_size: 137638319
dataset_size: 139718409.87
configs:
- config_name: default
data_files:
- split: validation
path: data/train-*
license: cc-by-sa-4.0
This dataset is created by converting the validation set of the original Spider dataset into audios. Spider dataset is licensed under CC BY-SA 4.0.
@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},
}