Dataset Card for Spider

  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… See the full description on the dataset page: https://huggingface.co/datasets/xlangai/spider.

Dataset Card for Spider-Releastic

This dataset variant contains only the Spider Realistic dataset used in "Structure-Grounded Pretraining for Text-to-SQL". The dataset is created based on the dev split of the Spider dataset (2020-06-07 version from https://yale-lily.github.io/spider). The authors of the dataset modified the original questions to remove the explicit mention of column names while keeping the SQL queries unchanged to better evaluate the model's capability in aligning… See the full description on the dataset page: https://huggingface.co/datasets/aherntech/spider-realistic.

Dataset Card for Spider Schema

  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. This dataset contains the 166 databases used in the Spider dataset.

  Yale Lily Spider Leaderboards

The leaderboard can be seen at https://yale-lily.github.io/spider

  Languages

The text in… See the full description on the dataset page: https://huggingface.co/datasets/richardr1126/spider-schema.

Distributed under the Creative Commons-by-sa-4.0 respecting the ShareAlike of the Spider Dataset. Code explanations and links for the model's checkpoints and datasets are on Github mRAT-SQL Here is the Hugging Face collection, you can download the model's checkpoints and datasets, but to understand is better to go to Github mRAT-SQL.

  mRAT-SQL-FIT







  A Multilingual Translator to SQL with Database Schema Pruning to Improve Self-Attention

Marcelo Archanjo Jose, Fabio… See the full description on the dataset page: https://huggingface.co/datasets/Marchanjo/spider-en-pt-es-fr.

Cleaned Spider Dataset for Text2SQL

  Dataset Summary

The Cleaned Spider Dataset for Text2SQL is an improved version of the original Spider dataset, which is a large-scale, complex, and cross-domain semantic parsing and text-to-SQL dataset. This enhanced version addresses several critical issues found in the original dataset, ensuring higher quality and reliability for training text-to-SQL models. The enhancements were made possible through Turbular's advanced data… See the full description on the dataset page: https://huggingface.co/datasets/Turbular/fixed_spider.

radhikachapaneri/spider-sql dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for Spider Skeleton Context Instruct

  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. This dataset was created to finetune LLMs in a ### Instruction: and ### Response: format with database context.

  Yale Lily Spider Leaderboards

The leaderboard can be seen at… See the full description on the dataset page: https://huggingface.co/datasets/richardr1126/spider-skeleton-context-instruct.

This is a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. The dataset includes 447 sagittal T1 and T2 MRI series from 218 studies of 218 patients with a history of low back pain. The data was collected from four different hospitals. There is an additional hidden test set, not available here, used in the accompanying SPIDER challenge on spider.grand-challenge.org. We share this data to encourage wider participation and collaboration in the field of spine segmentation, and ultimately improve the diagnostic value of lumbar spine MRI.

This file also provides the biological sex for all patients and the age for the patients for which this was available. It also includes a number of scanner and acquisition parameters for each individual MRI study. The dataset also comes with radiological gradings found in a separate file for the following degenerative changes:

1.    Modic changes (type I, II or III)

2.    Upper and lower endplate changes / Schmorl nodes (binary)

3.    Spondylolisthesis (binary)

4.    Disc herniation (binary)

5.    Disc narrowing (binary)

6.    Disc bulging (binary)

7.    Pfirrman grade (grade 1 to 5).

All radiological gradings are provided per IVD level.

Repository: https://zenodo.org/records/10159290 Paper: https://www.nature.com/articles/s41597-024-03090-w

Link to original dataset: https://yale-lily.github.io/spider Yu, T., Zhang, R., Yang, K., Yasunaga, M., Wang, D., Li, Z., Ma, J., Li, I., Yao, Q., Roman, S. and Zhang, Z., 2018. Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task. arXiv preprint arXiv:1809.08887.

hyess/spider dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset builds from WikiSQL and Spider. There are 78,577 examples of natural language queries, SQL CREATE TABLE statements, and SQL Query answering the question using the CREATE statement as context. This dataset was built with text-to-sql LLMs in mind, intending to prevent hallucination of column and table names often seen when trained on text-to-sql datasets. The CREATE TABLE statement can often be copy and pasted from different DBMS and provides table names, column names and their data types. By providing just the CREATE TABLE statement as context, we can hopefully provide better grounding for models without having to provide actual rows of data, limiting token usage and exposure to private, sensitive, or proprietary data.

Dataset Card for spider-ko: 한국어 Text-to-SQL 데이터셋

  데이터셋 요약

Spider-KO는 Yale University의 Spider 데이터셋을 한국어로 번역한 텍스트-SQL 변환 데이터셋입니다. 원본 Spider 데이터셋의 자연어 질문을 한국어로 번역하여 구성하였습니다. 이 데이터셋은 다양한 도메인의 데이터베이스에 대한 질의와 해당 SQL 쿼리를 포함하고 있으며, 한국어 Text-to-SQL 모델 개발 및 평가에 활용될 수 있습니다.

  지원 태스크 및 리더보드

text-to-sql: 한국어 자연어 질문을 SQL 쿼리로 변환하는 태스크에 사용됩니다.

  언어

데이터셋의 질문은 한국어(ko)로 번역되었으며, SQL 쿼리는 영어 기반으로 유지되었습니다. 원본 영어 질문도 함께 제공됩니다.

  데이터셋 구조





  데이터 필드

db_id… See the full description on the dataset page: https://huggingface.co/datasets/huggingface-KREW/spider-ko.

Dataset Card for Spider Context Validation

  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. This dataset was created to validate spider-fine-tuned LLMs with database context.

  Yale Lily Spider Leaderboards

The leaderboard can be seen at https://yale-lily.github.io/spider… See the full description on the dataset page: https://huggingface.co/datasets/richardr1126/spider-context-validation.

simone-papicchio/spider dataset hosted on Hugging Face and contributed by the HF Datasets community

nanina1/spider dataset hosted on Hugging Face and contributed by the HF Datasets community

Distributed under the Creative Commons-by-sa-4.0 respecting the ShareAlike of the Spider Dataset. Code explanations and links for the model's checkpoints and datasets are on Github mRAT-SQL Here is the Hugging Face collection, you can download the model's checkpoints and datasets, but to understand is better to go to Github mRAT-SQL.

  mRAT-SQL-FIT







  A Multilingual Translator to SQL with Database Schema Pruning to Improve Self-Attention

Marcelo Archanjo Jose, Fabio… See the full description on the dataset page: https://huggingface.co/datasets/Marchanjo/spider-FIT-en-enr-enb.

Dataset Card for Spider

  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… See the full description on the dataset page: https://huggingface.co/datasets/HusnaManakkot/new-spider-HM.

mjerome89/ORPRO-Spider-SQL-Filtered dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for "spider-tableQA"

  Usage

import pandas as pd from datasets import load_dataset

spider_tableQA = load_dataset("vaishali/spider-tableQA")

for sample in spider_tableQA['train']: question = sample['question'] sql_query = sample['query'] input_table_names = sample["table_names"] input_tables = [pd.read_json(table, orient='split') for table in sample['tables']] answer = pd.read_json(sample['answer'], orient='split')

# flattened input/output… See the full description on the dataset page: https://huggingface.co/datasets/vaishali/spider-tableQA.

karlen532/spider dataset hosted on Hugging Face and contributed by the HF Datasets community