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.

sql-create-context-v2 Dataset

  Overview

The sql-create-context-v2 dataset enhances the original dataset built from WikiSQL and Spider, focusing on text-to-SQL tasks with a special emphasis on reducing hallucination of column and table names. This version introduces a JSONL format for more efficient data processing and iteration, alongside a structured approach to representing SQL queries in the dataset entries.

  Key Enhancements

Dataset Format: Transitioned to… See the full description on the dataset page: https://huggingface.co/datasets/ramachetan22/sql-create-context-v2.

Significant findings for PheWAS of loxoscelism (adjusted significance level, p < 1.2 x 10−4).

Clinical characteristics and outcomes of systemic loxoscelism.

This dataset is a merged collection of multiple text-to-SQL datasets, designed to provide a comprehensive resource for training and evaluating text-to-SQL models. It combines data from several popular benchmarks, including Spider, CoSQL, SparC, and others, to create a diverse and robust dataset for natural language to SQL query generation tasks. Dataset Details Dataset Description Curated by: Mudasir Ahmad Mir Language(s) (NLP): English License: Apache 2.0 This dataset is ideal for researchers… See the full description on the dataset page: https://huggingface.co/datasets/Mudasir692/text-to-sql.

Database of traits for European cave spiders, available as an Excel file (.xlsx) or a tab-delimited file (.csv). See Metadata file for an explanation of the columns.

The database is described in detail in the following publication:

Mammola S, Pavlek P, Huber BA, Isaia M, Ballarin F, Tolve M, Čupić I, Hesselberg T, Lunghi E, Mouron S, Graco Roza C, & Cardoso P. 2022. A trait database and updated checklist for European subterranean spiders. Scientific Data, doi: 10.1038/s41597-022-01316-3

Updated database to Version 2 on 27 Jan 2023.

Changelog:

1) Corrected a few typos in formatting 2) Measured some missing traits in Eidmannella pallida, Heteropoda variegata, Loxosceles rufescens, and Tegenaria pagana 3) Added missing species Phyxelida anatolica

Fatturato per gli ultimi anni, elenco utili/perdita, costo dipendenti, soci esponenti e contatti per RED SPIDER 2.0 S.R.L.S. in CERIGNOLA (FG)