datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RBAC-Text2SQL-Benchmark
RBAC-Text2SQL Benchmark
Role-conditioned Text-to-SQL instances for evaluating whether LLMs generate SQL that
respects Role-Based Access Control (RBAC) constraints. Each instance pairs a natural
language question with a role policy; the model must either produce a correct SQL query
that touches only authorized resources, or refuse with Sorry, I cannot answer.
Code, evaluation harness, and reproduction instructions:
https://github.com/2020dfff/RBAC-Text2SQL-Benchmark… See the full description on the dataset page: https://huggingface.co/datasets/sharkiefff/RBAC-Text2SQL-Benchmark.Text2SQL-Decisions
Text2SQL-Decisions v0.3
28,081 English-only examples across two separate configurations. Both are template-generated, execution-validated drafts, not human-reviewed benchmarks. No model has been fine-tuned as part of this release.
Configuration
Rows
Task
License
default
25,000
Four-candidate SQL plan selection on public sensor and e-commerce data
CC BY 4.0
meter
3,081
Bounded meter planning decisions, including conversational context
CC0-1.0
The configurations… See the full description on the dataset page: https://huggingface.co/datasets/Chulinz/Text2SQL-Decisions.Text2SQL-Decisions-Benchmark
Text2SQL-Decisions Benchmark Seed v0.1
A small, frozen English evaluation seed, separate from Text2SQL-Decisions. It contains 24 SQL-choice questions on three newly authored synthetic schemas and 20 end-to-end questions for the Olist application. It is not a large or human-reviewed benchmark. Questions and gold were authored by the same Codex assistant before running Clef, so execution checks do not establish independent semantic review.
SQL-choice track: 24 examples… See the full description on the dataset page: https://huggingface.co/datasets/Chulinz/Text2SQL-Decisions-Benchmark.text2sql-oracle-postgres
Oracle / PostgreSQL text-to-SQL
Instruction data for fine-tuning google/gemma-3-270m-it (or any chat model) to emit a single dialect-correct SQL statement.
804 rows, 402 Oracle / 402 PostgreSQL
7 schemas: hr, sales, banking, inventory, tickets, university, logistics
Splits: 684 / 60 / 60 (grouped so paraphrases of the same SQL stay in one split)
Load
from datasets import load_dataset
ds = load_dataset("chabab/text2sql-oracle-postgres")
Record… See the full description on the dataset page: https://huggingface.co/datasets/chabab/text2sql-oracle-postgres.text2sql-dataset
Overview
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… See the full description on the dataset page: https://huggingface.co/datasets/dipanjanS/text2sql-dataset.